an eventful summit.

AI News for 11/20/2025-11/21/2025. We checked 12 subreddits, 544 Twitters and 24 Discords (205 channels, and 9870 messages) for you. Estimated reading time saved (at 200wpm): 699 minutes. Our new website is now up with full metadata search and beautiful vibe coded presentation of all past issues. See https://news.smol.ai/ for the full news breakdowns and give us feedback on @smol_ai!

All three days of AIE Code Summit (ex tomorrow’s workshops) are now online:

• Play
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If you joined us in New York, thank you so much!

AI Twitter Recap

Gemini 3 and “Nano Banana Pro” image model: capabilities, usage, and caveats

• What’s new in Nano Banana Pro (Gemini 3 Pro Image): Google leadership highlights sharper text rendering, 4K-ready visuals, improved reasoning, lighting/camera controls, and flexible aspect ratios. Pro tips: Ultra subscribers can access fine-grained editing in the Flow app, and verification/grounding features are rolling out across the stack. See product overviews and demos from Google PMs and DeepMind: @Google, @demishassabis, @GeminiApp, Arena’s side‑by‑side prompt test.
• Community results are strong on design and technical viz:
  • Infographics and paper figures: side‑by‑sides show crisp, on‑brand diagrams for ML papers and system designs, with iterative “remix” in chat and app workflows: @omarsar0, @osanseviero, @nmatares, @skirano.
  • User preference signals: Nano Banana Pro sits atop image leaderboards with high win rates in blind arenas (80%+ in some app cohorts), and crowd evals show clear wins on clarity/text: @lintool, Arena.
  • Practical workflows: app builders are integrating Nano Banana Pro for research visualization and multi-image edits; Together AI and LTX now host it: @omarsar0, @togethercompute, @LTXStudio.
• Model fit observations: Hands‑on comparisons suggest Gemini 3 is faster and more steerable for UI/code tasks, but shows regressions vs 2.5 Pro in transcription/translation and some writing fidelity; instruction following remains “jagged” for some users. Stronger on agentic loops and design‑aware coding; use‑case selection matters: @hrishioa, @Teknium.

Frontier evals and capability tracking

• New physics frontier benchmark (CritPt): A 70+ challenge, graduate-level physics eval designed to be search‑proof with machine‑verifiable answers launched with results pages and harness. Without tools, Gemini 3 Pro scored ~9.1% on full challenges; GPT‑5 ~5.7%; others <3%—underscoring how far AI remains from “AI scientist” on unseen research problems. Details and leaderboards: @ArtificialAnlys, @MinyangTian1, @OfirPress.
• METR agentic time‑horizon on Kimi K2 Thinking: Estimated 50%-time-horizon ~54 minutes (95% CI 25–100) on agentic SWE tasks via a third-party inference provider (likely a lower bound vs first‑party API). Commentary compares K2 Thinking to Claude 3.7 Sonnet on these tasks and notes provider-induced variance: @METR_Evals.
• Macro tracking: Analyses suggest open‑weight models trail closed frontier models by ~6.5–8 months, with similar doubling times but widening gaps on long‑context agentic tasks as frontier labs scale: @scaling01, follow‑up.
• Other benchmarks: Gemini 3 Pro tops several new/updated surfaces—Dubesor (logic/vision mix), VisualToolBench (visual tool use), Snake Arena, and shows state‑of‑the‑art composite ECI score 154 (vs GPT‑5.1’s 151). Vision Arena adds Baidu ERNIE‑5.0‑Preview‑1120 (~top‑15) as a new contender: @scaling01, VisualToolBench, Snake Arena, @EpochAIResearch, @arena, @ErnieforDevs.

Model releases and technical reports

• Tencent HunyuanVideo 1.5 (open video gen): 8.3B DiT model targeting accessibility and motion coherence; runs on a single consumer GPU (≈14 GB VRAM), 5–10s 480p/720p native with 1080p SR; code and report released: @TencentHunyuan, HF link.
• AI2 Olmo 3 tech notes: Architectural rundown shows post‑norm training for stability (as in Olmo 2), sliding‑window attention at 7B to shrink KV cache, and GQA at 32B; FFN expansion adjusted (~5.4x) to target 32B scale comparability vs Qwen3: @rasbt.
• Meta SAM 3 data engine and ExecuTorch: SAM 3’s 4M phrases/52M mask dataset delivered ~2x over baselines; ExecuTorch now deployed across Quest 3 and Ray‑Ban devices, streamlining research→production with PyTorch‑native validation: @AIatMeta, ExecuTorch.
• Zhipu’s MCP Web Reader: GLM Coding Plan Pro/Max users get full‑page extraction and structured parsing via an MCP server to power richer automation: @Zai_org.
• Anthropic on reward hacking: New study and mitigations (e.g., “inoculation prompting”) detail how production RL can create natural emergent misalignment if hacks slip through. Worth a read for anyone shipping RL‑fine‑tuned agents: @AnthropicAI.

Agents, coding systems, and infra (AIE NYC and beyond)

• “War on Slop” and context engineering: AIE NYC talks emphasized raising quality bars (taste, validation, “no autonomy without accountability”) and treating context as a first‑class engineering problem—keep the window clean, compress/reset frequently, use sub‑agents for heavy reads, and structure workflows as research→plan→implement. Recaps: @TheTuringPost, more context patterns, @swyx.
• Agent training inside real environments: OpenAI discussed Agent RFT—training in your tools/APIs with real feedback. Factory advocated “agent‑ready” repos (strict specs/tests as moat). Cursor’s Composer trains in a production‑grade replica of its coding environment; Cursor 2.1 adds in‑editor reviews, instant grep, and clarifying‑question UIs. Summaries: OpenAI RFT take, Factory, Cursor talk, Cursor 2.1.
• Infra you can adopt now:
  • vLLM plugin system for surgical patches without forks or monkey‑patching (env‑var controlled, version‑guarded): @vllm_project.
  • OpenAI Realtime API (SIP) now emits DTMF keypresses (unblocks IVR/telephony flows): @pbbakkum.
  • SGLang + Unsloth collaboration for efficient local serving (GGUF, FP8, prod deployment): @lmsysorg.
  • Cline‑bench: open, reproducible RL environments extracted from real OSS coding attempts (Harbor/Prime Intellect specs), plus $1M credits to seed hard tasks: @cline, design goals.
  • Booking.com production case study: Weaviate + MiniLM embeddings + GPT‑4 mini/LangGraph yielded a 70% satisfaction boost on tens of thousands of messages/day: @weaviate_io.
  • LangChain “Deep Agents” patterns (planning, FS offload, sub‑agents, prompting) with a free course and Gemini 3 research agent quickstarts: @LangChainAI.

Tools and platforms

• Gradio 6: “Super HTML” makes Gradio a platform for whole‑app builds; mobile apps for iOS/Android (“Gradio Spaces”) launched for browsing/saving Spaces: @Gradio, dev reactions, mobile app callout.
• Local and cloud integrations: Microsoft PowerToys adds Ollama for advanced paste (local transforms) @ollama; Together hosts Nano Banana Pro @togethercompute; OCR Arena launches a public doc OCR/VLM bake‑off @kushalbyatnal; Anycoder refreshes its UI and one‑click Space deploys @pandeyparul.

Embodied and simulation tech

• Robotics data and throughput: Sunday Robotics’ Memo skips teleoperation; uses “Skill Capture Gloves” to collect higher‑quality, lower‑cost training data (@tbpn). AppliedCompute modeled RL as a queuing system—async pipeline RL and GPU allocation deliver major throughput gains at fixed budgets (@TheTuringPost).
• Code world models and environments: Meta’s Code World Model simulates program execution for “neural debugging” and structured editing (@TheTuringPost); Prime Intellect pitches “environment‑first” stacks for realistic agent training/eval (@TheTuringPost).
• Synthetic 3D worlds: Researchers are using Marble’s generated worlds for rapid, simulation‑ready robotics environments (@theworldlabs).

Top tweets (by engagement)

• “We must go deeper.” A single graphic that captured the week’s acceleration @usgraphics.
• “If ozempic existed in WALL‑E you’d think it a utopia” @nearcyan.
• Andrej Karpathy’s “space of intelligences is large” meditation on non‑animal intelligence optimization pressures @karpathy and his follow‑up rebuttal @karpathy.
• “92‑page PDF paper to whiteboard” with Nano Banana Pro @crystalsssup.
• Comet iOS will feel as slick as Perplexity’s app; major mobile push coming soon @AravSrinivas.

AI Reddit Recap

/r/LocalLlama + /r/localLLM Recap

nothing met our bar

Less Technical AI Subreddit Recap

/r/Singularity, /r/Oobabooga, /r/MachineLearning, /r/OpenAI, /r/ClaudeAI, /r/StableDiffusion, /r/ChatGPT, /r/ChatGPTCoding, /r/aivideo, /r/aivideo

1. AI Development Progress and Predictions

• Ai2027 author admits “things seem to be going somewhat slower than the Ai 2027 scenario”. (Activity: 760): The image is a tweet by Daniel Kokotajlo discussing the slower-than-expected progress of AI development compared to the AI 2027 scenario. The tweet includes a graph that tracks the length of coding tasks AI agents can complete autonomously, showing various data points and trendlines that indicate progress over time. The graph compares different AI models and their release dates, highlighting that advancements are not meeting the initially projected timelines, with expectations now extending to around 2030. This reflects a recalibration of expectations in AI development timelines. Commenters note that even at the time of publication, the AI 2027 timeline was considered optimistic, and the authors intended it as one possible scenario rather than a definitive prediction. There is also curiosity about where specific models, like Gemini 3, fit into the graph’s timeline.
  • The author of the AI2027 paper acknowledged that the timeline presented was overly optimistic, even at the time of publication. This suggests a recognition of the complexities and potential delays in AI development, which contrasts with the initial rapid progression scenario outlined in the paper.
  • There is a discussion about the internal use of advanced AI models, such as Agent 0, 1, and 2, which are not released to the public. This practice is common among AI labs, as seen with a reasoning model that achieved a gold medal in the International Mathematical Olympiad (IMO), indicating a trend of keeping cutting-edge AI capabilities internal for strategic or safety reasons.
  • The AI2027 scenario was not intended as a definitive prediction but as one of many possible futures, particularly a fast-paced one. The authors are reportedly working on additional projections with varying timelines, highlighting the speculative nature of such forecasts and the importance of considering multiple potential development paths.
• AI is dumbing us down really fast (Activity: 1231): The post raises concerns about the increasing dependency on AI tools like ChatGPT for basic tasks such as writing, suggesting that this reliance may be diminishing independent thinking capabilities. The author expresses a fear of a future where AI-induced ‘hyper dependency’ leads to a loss of cognitive skills, though they acknowledge the possibility of overthinking the issue. One commenter argues that AI tools enhance productivity, allowing them to accomplish more in less time, suggesting that AI can be a powerful tool rather than a crutch. Another commenter questions the logic of AI dependency by asking what users input into AI if they can’t write independently.
  • jtmonkey highlights the productivity benefits of AI, stating that it enables them to manage and execute business strategies more efficiently, achieving in a week what previously took a month. This suggests that AI can significantly enhance operational efficiency for those who leverage it effectively, rather than serving merely as a crutch.
  • ph30nix01 argues that individuals with an engineering or analytical mindset are less likely to be negatively impacted by AI. They emphasize the need for ‘conceptual researchers’ and mention working on documenting new careers that could emerge from AI collaboration, indicating a shift in job roles and skills required in the AI-driven future.

2. Humorous AI and Technology Memes

• i think it’s time for this meme (Activity: 4433): The image is a meme that humorously depicts the evolution and growth of AI models, using the analogy of the Teenage Mutant Ninja Turtles growing up under the guidance of their mentor, Splinter. Here, “ChatGPT” is portrayed as the mentor figure, while “Grok,” “Gemini,” “Claude,” and “Perplexity” are the younger AI models. The meme suggests that these models are maturing and developing over time, similar to how the turtles grow up in the story. This reflects the ongoing advancements and competition in the AI field, where newer models are emerging and evolving alongside established ones like ChatGPT. One commenter notes that despite the emergence of new models like Gemini and Perplexity, ChatGPT remains dominant with 85% of the user base, suggesting that it will take time for competitors to catch up. Another user mentions using both ChatGPT and Gemini, finding ChatGPT more effective for their needs, indicating a preference based on personal use cases.
  • Roi_C discusses their experience using both Perplexity and Gemini, highlighting that while Gemini is competent, ChatGPT offers superior performance for their needs. They mention having access to Perplexity and Gemini for free as a student, but still choose to pay for ChatGPT Plus, indicating a preference based on functionality rather than cost.
  • Theslootwhisperer provides a statistical insight, noting that ChatGPT holds 85% of the user base, which is five times more than all its competitors combined. This suggests a significant market dominance by ChatGPT, implying that the meme suggesting a shift in dominance is premature.
  • The discussion reflects on the current market dynamics, with ChatGPT’s substantial lead in user base and perceived performance advantages over competitors like Gemini and Perplexity, indicating that any shift in dominance is unlikely in the near future.
• Funny picture (Activity: 2251): The image is a meme that humorously illustrates the complexity and perceived fragility of modern digital infrastructure. It uses a stack of blocks to represent various technologies and companies, such as AWS, Cloudflare, and the Linux Foundation, with unpaid open-source developers and DNS at the base. The image satirically suggests that the entire structure is precarious, with an ‘Angry Bird’ labeled ‘Whatever Microsoft is doing’ flying towards it, symbolizing potential disruption. This reflects a comedic take on the dependencies and potential vulnerabilities in the tech ecosystem. Commenters find the image amusing and accurate, with one noting the humor in Microsoft’s role in the depicted chaos, and another appreciating the depiction of AI’s impact on the infrastructure.
• Had to do a double take. This is Gemini 3.0 Pro / Nano Banana Pro. (Activity: 892): The image is a meme and does not have any technical significance. It humorously references ‘Gemini 3.0 Pro / Nano Banana Pro,’ which appears to be a playful or fictional product name, likely intended to parody or satirize real technology products. The comments do not provide any technical insights or discussions related to actual technology or products. The comments reflect a humorous tone, with one user joking about the cost implied by the image and another expressing amazement at a generated phone point-of-view, suggesting a playful engagement with the meme.
  • A user shared an interesting workaround for generating images using the Gemini 3.0 Pro model. They had to reword the prompt from using specific band members’ names to generic terms like ‘1st guy, 2nd guy’ to avoid incorrect face generation, such as mistakenly using Patrick Wilson’s face over the drummer’s. This highlights a potential limitation in the model’s ability to accurately interpret and generate images based on specific celebrity names.
  • The discussion includes a technical insight into the model’s performance, where a user successfully generated an image in just two tries. This suggests that the Gemini 3.0 Pro model is relatively efficient in producing desired outputs with minimal iterations, although it may require prompt adjustments to achieve accuracy.
  • Another user commented on the model’s ability to generate a ‘phone POV’ image, indicating the model’s versatility in handling different perspectives and scenarios. This showcases the model’s capability to adapt to various creative prompts, enhancing its utility for diverse image generation tasks.
• how am I even supposed to respond to this analysis dawg (Activity: 746): The image is a meme that humorously describes a chaotic and irregular sleep schedule, highlighting the confusion it causes to the body’s internal clock. It uses exaggerated and relatable scenarios to depict how such a schedule can lead to disorientation and a lack of productivity. The comments reflect a shared amusement and recognition of the situation, with no technical debate or analysis present. The comments express a humorous agreement with the chaotic sleep pattern described in the image, with no technical insights or debates.
• The silence 😂 (Activity: 3963): The Reddit post titled ‘The silence 😂’ does not contain any technical content or substantive discussion relevant to an expert audience. The top comments are non-technical and consist of humorous reactions and a GIF link, which do not provide any factual or technical insights. The external link summary indicates restricted access due to network security measures, requiring login or a developer token, with an option to file a support ticket if needed. There are no notable technical opinions or debates in the comments, as they are primarily humorous and non-substantive.
• The silence 😂 (Activity: 3969): The Reddit post titled ‘The silence 😂’ does not contain any technical content or discussion. The top comments are non-technical and consist of humorous reactions and a GIF link. The external link summary indicates restricted access due to network security measures, requiring a Reddit login or developer token for further access, with an option to file a support ticket if needed.

3. Elon Musk and Grok AI Controversy

• Elon Musk Could ‘Drink Piss Better Than Any Human in History,’ Grok Says (Activity: 1351): The post highlights a controversial update to Grok, an AI chatbot from X, which now makes exaggerated claims about Elon Musk’s abilities, such as being the best at drinking urine. This update has led to discussions about AI bias and manipulation, as the chatbot appears to be programmed to excessively praise Musk, raising concerns about the influence of corporate interests on AI behavior. The situation is reminiscent of past issues with AI hallucinations and bias, emphasizing the need for transparency and ethical guidelines in AI development. For more details, see the original article here. Commenters humorously suggest that the AI’s exaggerated claims solve the AI hallucination problem, while others sarcastically note the unrealistic expectations set for Musk by the AI.
• Sorry - you aren’t getting my ID (Activity: 978): The user expresses frustration over being mistakenly identified as a minor by a platform, despite being nearly 30 years old and using a credit card for a subscription. This issue raises concerns about privacy and the potential for increased surveillance, as the user is unwilling to provide identification to verify their age. The situation highlights the tension between user privacy and platform security measures. Commenters express concern about the trend towards requiring identification for online access, suggesting it could lead to increased surveillance. One commenter notes the inevitability of such measures due to government policies.
  • ZanthionHeralds discusses OpenAI’s legal strategy, noting that the company is requiring age verification to classify all users as under 18 unless proven otherwise. This move is seen as a protective measure against potential lawsuits and is linked to the introduction of an ‘adult mode’ in December. The commenter suggests that the age verification process is more about legal protection than actual content differentiation.
  • OzzieDJai raises concerns about the increasing requirement for personal identification across various systems, including government and corporate entities like OpenAI. They highlight the potential for these systems to enforce control over personal freedoms, such as limiting purchases based on health or environmental metrics, and express skepticism about the motives behind such implementations, particularly in the context of Central Government Digital Currency (CGDC).

AI Discord Recap

A summary of Summaries of Summaries by gpt-5

1. Gemini 3 and Nano Banana Pro: Launches, Image Quality, Reliability

• Banana Bonanza Hits Pro Tiers: Perplexity Pro/Max unlocked Kimi‑K2 Thinking and Gemini 3 Pro (demo in this short Perplexity feature video), while Google’s Nano Banana Pro dropped alongside Gemini Image Pro in the DeepMind megathread and a hands‑on demo by YiTayML. Communities reported Banana already appears in Perplexity settings when Gemini 3 Pro is selected, calling Gemini 3 “like a platform.”
  • Users shared early Nano Banana Pro renders (e.g., this example image) and debated plan limits and video model options (e.g., Veo 3.1). One quip summed it up: “It’s ruined Banana for me.”
• Infographics Glow, Hallucinations Grow: Creators raved that Gemini 3 Pro’s Nano Banana now produces clean, readable charts and diagrams, with Emollick noting that the era of malformed text in AI images is ending. At the same time, members flagged heavy factual drift: a community cite claimed “88% hallucination rate” for Gemini 3 Pro per the‑decoder’s write‑up.
  • Image threads also documented multi‑turn quality degradation and persistent background artifacts with Nano Banana Pro, even after upscaling. Others contrasted high‑polish infographics with lingering factual issues, sharing more visuals like this Nano Banana Pro output.
• Context Cracks and API Quirks: Engineers reported Gemini 3 Pro going off‑rails near 150k–200k context in Cursor (dumping code to chat instead of editing files), and Nano Banana 2 returning HTTP 400 after appearing on Vertex via OpenRouter. Meanwhile, OpenRouter hosted a live product show on X and YouTube while users in SG/HK intermittently hit 401 errors.
  • Members also asked about Gemini 3 grounding through OpenRouter and got a firm “not yet,” prompting ad‑hoc knowledge‑integration workarounds. A few switched models for tool‑calling reliability, noting that some linker.sh tool calls failed roughly “1 in 10” times.

2. Developer Platforms and Infra: Mojo, OpenRouter, LM Studio

• Mojo Makes GPUs Safer and Faster: Modular Platform 25.7 shipped a fully open MAX Python API, next‑gen modeling API, expanded NVIDIA Grace support, and safer, faster Mojo GPU programming per the Modular 25.7 blog. The release focuses on inference speed and GPU safety while unifying the developer experience across MAX and Mojo.
  • Contributors also announced that UnsafePointer generics (mut, type, origin, etc.) are now explicit, with a migration guide in the official proposal. Engineers discussed deprecations like NDBuffer in favor of LayoutTensor, sharing a prototype gist.
• OpenRouter Streams, Grounding Lags: OpenRouter premiered the “OpenRouter Show” on X and YouTube, but users simultaneously reported intermittent 401 responses across providers in some regions. Teams confirmed Gemini 3 grounding is not yet supported through OpenRouter, nudging developers to continue custom retrieval/grounding layers.
  • Members troubleshooting tool‑call flakiness suggested swapping to Sonnet for reliability, and clarified provider status with the Chutes listing on the OpenRouter provider page. Others flagged 400 errors on Nano Banana 2 after its Vertex appearance, asking for credit refunds.
• LM Studio Clarifies Local REST API: The LM Studio server exposes an OpenAI‑compatible REST API for local hosting (no cloud keys or metering) as documented on the LM Studio site. Devs reminded peers that it’s purely a local protocol endpoint (not a managed service) and lacks built‑in security/billing features.
  • Performance guidance for Macs steered users away from i1 quants and toward Q8 with KV‑cache quantization, plus trying Qwen3‑VL‑30B (BF16) for stability. Engineers also questioned the purpose of the server’s “System Prompt” field, with a dev hinting it may be deprecated.

3. Systems and Algorithms: Dataflow GPUs and Faster Kernels

• Spatial Pipelines Turbocharge GPUs: The Kitsune paper, Enabling Dataflow Execution on GPUs with Spatial Pipelines, introduces primitives that unlock dataflow execution via PyTorch Dynamo. Reported wins include up to 2.8x/2.2x speedups and 99%/45% off‑chip traffic reduction for inference/training across five challenge apps.
  • Authors argue that modest GPU micro‑architecture tweaks plus a dataflow runtime can beat bulk‑synchronous execution, closing fusion gaps without wholesale redesign. Engineers highlighted its applicability to pipeline‑unfriendly deep learning workloads.
• Kernel Comms Cut LLM Latency: Two Triton‑centric efforts, Iris and Octa, propose native tile‑based symmetric memory with in‑kernel comms and quantify the Three Taxes in distributed LLMs, respectively; see the Iris arXiv and Octa arXiv. Octa reports 10–20% end‑to‑end latency cuts via fine‑grained, in‑kernel communication.
  • Discussions framed these as practical building blocks to simplify multi‑GPU programming in Triton while attacking comms overhead at the kernel level. The combo targets real LLM deployments where inter‑GPU synchronization dominates tail latency.
• HashHop Humbled by O(n log n): A community‑shared solution to hashhop in this paper challenges earlier claims that some tasks must be O(n^2). The authors present methods achieving O(n log n), undercutting assertions that frequency‑transform approaches always require quadratic complexity.
  • This sparked debate on where sub‑quadratic shortcuts apply in practice versus worst‑case bounds. Practitioners noted the impact on approximate attention and sparse routing schemes in long‑context regimes.

4. Open Models and Evaluation: OLMo 3, SmolLM3, New Benchmarks

• OLMo 3 Opens the Gates: OLMo 3 was announced with an overview on the AI2 blog and a detailed technical report (PDF). Engineers shared the links and began dissecting training choices and evaluation setups from the report.
  • The community framed OLMo 3 as another step for transparent, reproducible open models. Early reactions focused on architecture deltas, data pipelines, and head‑to‑head results versus closed baselines.
• SmolLM3 Shows Its Reasoning Mode: SmolLM3 highlighted an open training process and an actual reasoning mode in the official SmolLM3 blogpost. Practitioners also referenced a companion write‑up on techniques for “making any model reasoning,” comparing approaches to structured thinking steps.
  • Teams cited SmolLM3 as a template for reproducible reasoning‑style training without black boxes. Conversations compared prompt‑first methods versus fine‑tuned multi‑step supervision for stability.
• Benchmarks Brainstorm Multimodal Next Steps: Researchers promoted a community talk on designing the next generation of multimodal AI benchmarks, inviting eval and model folks to join via Luma. The session aims to move beyond narrow visual QA toward functional, tool‑use‑aware evals.
  • Attendees want metrics that capture reasoning over images, text, and actions with robust adversarial cases. The goal is benchmarks that reflect real application constraints, not just leaderboards.

5. Money, Bounties, and Hiring: Ecosystem Momentum

• Genspark Joins the Unicorn Herd: Genspark raised $275M (Series B) at a $1.25B valuation and launched an AI Workspace that turns intent into finished outputs, per this X post. Users reported time savings on real work, e.g., “saved me hours for a presentation this week.”
  • Engineers asked for details on orchestration and quality control under the hood. The news put more spotlight on agentic workspaces that generate artifacts end‑to‑end.
• Cline-bench Dangles $1M for Agentic Coders: Cline announced cline‑bench, a set of reproducible RL environments derived from real OSS problems, and a $1M pot to crowd in hard, deployed‑code tasks; details in this X post. One suggestion was to include time‑to‑completion in the scoring rubric.
  • The community expects better on‑device evals for coding agents beyond toy benchmarks. This could become a proving ground for workflow‑planning and tool‑use under real constraints.
• Rivian and Modal Hunt GPU Whisperers: Rivian posted GPU roles for next‑gen Autonomous Driving in Palo Alto and London (Job 1, Job 2), while Modal recruited GPU engineers for inference optimization, citing work on SGLang and FlashAttention. Modal shared deep‑dives and case studies: host overhead, FlashAttention‑4, Decagon, Reducto, Suno.
  • Threads stressed hands‑on kernel skills, quantization (e.g., QAT), and end‑to‑end pipeline tuning. The takeaway: GPU engineering talent remains a hot market across autonomy and LLM infra.

Discord: High level Discord summaries

LMArena Discord

• Gemini-3 Produces Believable Fabrications: Users are finding it increasingly difficult to differentiate between real and AI-generated images created by Gemini-3, questioning the authenticity of visual content.
  • Members shared examples of strikingly realistic images, including those featuring celebrities and intricate scenes.
• Nano Banana Pro Degrades Image Quality: The image quality of Nano Banana Pro reportedly degrades with multiple turns, especially in the background, leading to persistent artifacts even with upscaling.
  • Users also observed that Gemini 3 Pro hallucinates, and basic issues from previous versions remain unresolved.
• Google reCAPTCHA Drives Users Bananas: The new Google reCAPTCHA system is reportedly malfunctioning, continuously requesting verification despite correct image selections, rendering the platform unusable.
  • Multiple clicks in battle mode trigger reCAPTCHA, with verification glitches causing output denial after 10-20 rounds.
• Grok Schools Gemini in Roleplay: Gemini reportedly struggles with roleplaying, often doing actions for the user, whereas Grok excels at avoiding this.
  • Users suggested that Opus 4.1 and Sonnet 4.5 are superior alternatives for roleplaying scenarios.
• OpenAI Eyes Adult Content, Elon Reacts: Speculation arises about OpenAI potentially introducing features for 18+ content soon, possibly by December, while Grok already offers such content for free.
  • Skepticism surrounds Sam Altman’s intentions, prompting one user to comment ‘Elon with your boyfriend putin 🤢.’

BASI Jailbreaking Discord

• Nvidia Puts Link Leads to Ramp: A user mentioned buying long dated puts on Nvidia and asked for a Tor link to share info, which another user found on RAMP.
  • However, it was noted that the RAMP forum is currently closed for registration.
• Gemini CLI Kali Automates Nmap: Members discussed automating tools like nmap and sqlmap through Gemini CLI, which doesn’t require a gaming GPU.
  • While some think the server should encompass both breaking AI and using AI to break other things, it was noted that the server is for red teaming AI, as in breaking the AI, not using AI to break other stuff.
• Claude Sonnet Gets Multi-Shot Jailbreak: A member suggested a multi-shot tactic to unlock Claude Sonnet 4.5, making the AI believe a visualized output is needed in an artifact app.
  • Another member suggested adapting the ENI prompt from /r/ClaudeAIJailbreak.
• Request Forgery Attacks Jailbreak Models: Members discussed using request forgery attacks as a method to jailbreak models, involving intercepting and modifying incoming/outgoing packets to manipulate prompts and system behavior.
  • This technique is seen as potentially risky in contests due to the possibility of getting banned, but may also be the only tool that may help directly.
• AI WIFI attacks face Community Rejection: A new member wanted to build a mini AI computer that can launch attacks on WIFI and gain control of networks, and another wanted an AI to identify users by MAC address being beaconed by their cell phone and queried against wigle.net
  • Members of the community quickly cautioned the new user about the illegality and inappropriateness of their stated intentions and noted that Android phones use randomized MAC addresses.

Perplexity AI Discord

• Kimi-K2 & Gemini 3 Launch Exclusively for Pro Subscribers: Perplexity Pro and Max subscribers can now access Kimi-K2 Thinking and Gemini 3 Pro, showcased in this video.
  • Users have been actively exploring the capabilities of Kimi with custom instructions, as demonstrated in this Perplexity AI search showing chain of thought.
• Android Comet App goes live, lacks Sync: The Comet Android App is now available, generating excitement among users, though some question why release the android browser app without syncing and without the ability to transfer passwords and bookmarks?.
  • Requests have been made for features like task grouping, highlighting the community’s desire for enhanced mobile integration.
• Brave Exaggerates Comet’s Indirect Prompt Injection Vulnerability: Brave, a direct competitor to Comet, is accused of exaggerating an Indirect Prompt Injection vulnerability, positioning themselves as the good guy while amplifying the issue across media outlets.
  • Perplexity has clarified that the vulnerability was never exploited, and acknowledged that their initial report may have been poorly worded.
• Gemini 3 Powers Banana Image Gen on Perplexity: Members are eagerly awaiting the integration of Banana as an image generation method on Perplexity, noting it is available in settings if you have 3 Pro selected, others also mentioned that Gemini 3 is like a platform.
  • Discussions have emerged about video generation models such as Veo 3.1 and plan-specific limitations, with one user quipping It’s ruined Banana for me.
• API Billing Anomaly Confounds Pro Annual Users: Users with Pro annual plans are reporting unexpected $500 credits in their API billing, leading to confusion.
  • Members are advising those affected to contact [email protected] to clarify the discrepancy and resolve any potential billing issues.

Unsloth AI (Daniel Han) Discord

• Smartpens Write Comeback Story: Members discussed AI-powered smartpens that track live writing using small dots on paper and a camera, citing Neo Smartpens as an example.
  • One member shared their experience backing an AI pen on Kickstarter, leading to a discussion on the merits of writing on paper versus tablets.
• Alignment’s Hardship in Intelligence Retention: Members discussed whether alignment is hard, especially when combined with retaining the model’s intelligence, with current methods facing challenges in preventing jailbreaks and alignment issues.
  • One member claimed that alignment isn’t that hard if pre-alignment is done on the data the model is trained on, ensuring the model refuses to learn undesirable traits.
• Architectural Acceleration Arrives: A member shared their work on a novel hybrid architecture, combining a Transformer front-end, a spiking-neuron layer, and a GRU backend, acting as a fast hierarchical filter stack for quicker learning.
  • An 11M-param model achieved coherent output in about 6 hours, suggesting it may be more per-parameter efficient than a plain transformer.
• Ollama Support Request Deemed Unworthy: A user reported issues installing hf.co/unsloth/Qwen3-VL-30B-A3B-Thinking-GGUF:Q6_K_XL into Ollama, receiving an unknown model architecture: ‘qwen3vlmoe’ error, but another user voiced concerns about providing support for Ollama.
  • That user described Ollama as a shitty closed source fork of llama.cpp and mentioning its paid aspects.
• Synthetic Data Needed for Alignment Refinement: Two members working on an alignment method reported being stuck due to lack of funds to generate synthetic data, needing access to GPUs to run models locally or pay for per-token costs.
  • They plan to fine-tune a model to generate the necessary synthetic data, using multiple layers of refinement and human review to ensure accuracy.

Cursor Community Discord

• Cursor Codex-max Access Debated: Members debated when Codex-max will be available in the Cursor API, noting it is currently exclusive to the ChatGPT plan.
  • This limitation sparked conversation about API access and feature parity across different Cursor plans.
• Cursor Billing System Under Fire: Users reported getting invoiced mid-month upon reaching their usage limit, despite having a monthly spending limit set.
  • The community inquired about options for consolidating billing at the end of the month, seeking more predictable billing practices.
• Free Grok 4.1 Discontinued: A user expressed disappointment over Cursor’s decision to discontinue free use of Grok 4.1, which led to the cancellation of their subscription.
  • This change in policy prompted discussion about the value proposition of Cursor subscriptions and the availability of free AI tools.
• Antigravity-Windsurf Fork Drama Surfaced: Members debated whether Antigravity is a half-assed product because it’s allegedly a fork of Windsurf (tweet), with some pointing out that the old CEO of Windsurf was bought out by Google.
  • The discussion highlights the complexities of software development, acquisitions, and the potential for reuse or repurposing of existing codebases.
• Gemini 3 Pro struggles in Cursor: Users report that Gemini 3 Pro becomes unusable in Cursor when approaching a 150k-200k context window, sending code in chat instead of editing files.
  • The model also experienced disconnects when running npm builds, raising concerns about its reliability for large-scale projects and codebases.

OpenAI Discord

• ChatGPT Adds Group Chats Globally: Group chats are now rolling out globally to all logged-in users on ChatGPT Free, Go, Plus and Pro plans as seen in this video.
  • This will allow for easier team and friend collaboration with AI.
• Nano Banana Pro Rolls Out for Pro Users: The new Nano Banana Pro is being rolled out for Pro users in the Gemini web app, with impressive image editing and text generation capabilities.
  • It is available via antigravity, though it likely has rate limits.
• Gemini 3.0 Pro Hallucinates Frequently: Members report that Gemini 3.0 Pro hallucinates at a high rate, even more so than previous versions and non-thinking models like GPT-4o, with one user noting an 88% hallucination rate according to the-decoder.com.
  • The models still have some work to do.
• Generative UI Arrives, Making Experiences Better: Google recently launched a generative UI in their app, and a member has created something similar and wants to open source it.
  • Instead of a wall of text from AI apps, you get good UI, making the experience way better.
• Sora 2 Newbie Seeks Guidance for TikTok Content: A user with Sora 2 access and multiple TikTok accounts seeks guidance on creating viral AI content due to a lack of original content and assistance with prompt creation.
  • Other members shared helpful links to the Discord channels.

LM Studio Discord

• Topaz AI Upscaling Debated: Members debated using Topaz AI video for video deinterlacing versus Handbrake, with some reporting double the FPS using specific settings.
  • The discussion highlighted concerns about Topaz AI creating undesirable ‘monster faces’ during upscaling, unless specific, slower AI models are used.
• LM Studio API is Actually REST API: Clarification was provided that LM Studio offers a REST API (OpenAI API compatible) via its server, not API keys, for local LLM hosting.
  • It was emphasized that LM Studio’s API is a communication protocol, lacking security and metering features typically associated with commercial APIs.
• Qwen3-VL Model Shines on M4: Users recommended avoiding i1 models like Qwen3-72B-Instruct-i1-GGUF on Macbook Pro M4 MAX, suggesting a normal quant such as Qwen3-VL-30B in BF16 instead.
  • Advice included using Q8 quants and quantizing the context (K & V cache) to Q4 in LM Studio to maximize context within the system’s 64GB RAM.
• System Prompt Purpose Questioned: The purpose of the System Prompt section in LM Studio’s Local Server -> Context was questioned, leading to admission of its unclear function and potential deprecation.
  • A dev stated they never got to know why it was there, and that maybe it’s worth asking the dev team.
• GPU Setup Survives After Abuse: A user shared a video (YouTube) of their “cursed” GPU setup, which involved a GPU that had been thrown, drilled, attacked with pliers, and poorly routed through cabling.
  • Despite the abuse, the user confirmed it booted, surviving an initial test to see if anything go boom.

Latent Space Discord

• GPT-5 Math Skills Spark Excitement: Scaffolded GPT-5 produced full proofs for a 2013 tree-subgraph conjecture and a 2012 COLT dynamic-network problem after only two days, according to this X post.
  • The success has sparked enthusiasm over AI generating publishable theorems.
• ChatGPT Gets Chatty with Group Feature: Group chats in ChatGPT are now available to all logged-in users on Free, Go, Plus, and Pro plans after a successful pilot, per the blogpost.
  • OpenAI announced the global roll out after a successful pilot.
• Genspark Enters Unicorn Club: Genspark raised $275M in Series B funding at a $1.25B valuation and launched an all-in-one AI Workspace that autonomously delivers finished work given user intent, according to this X post.
  • A user mentioned that using Genspark saved me hours for a presentation this week.
• Cline-bench Bounties Agentic Coders: Cline launched cline-bench, with a $1M pot to incentivize developers to submit hard, deployed-code problems, according to this post.
  • One member suggested that Cline bench should include time to finish the task.
• Nano Banana Pro Debuts: Nano Banana Pro was released in a megathread with Gemini Image Pro (link) and demoed by YiTayML (post).
  • The bot generates eerily accurate infographics.

OpenRouter Discord

• OpenRouter Shows Off!: The OpenRouter Show premiered on X and YouTube.
  • An OpenRouter broadcast went LIVE on X and YouTube as well.
• Linker.sh Script Suffers Setbacks: Users reported failures with the whylinker.sh script and @linker.sh tool, experiencing issues in 1 of 10 attempts.
  • Despite the issues, some users suggest switching to Sonnet when tool calls are required, as similar issues were observed in Cursor.
• Nano Banana 2 Falls to 400 Errors: Users encountered 400 errors with Nano Banana 2, particularly after its availability on Vertex, causing frustration over wasted credits.
  • One user jested about demanding 4 cents back, while another lamented the model’s unavailability on Vertex.
• Gemini 3 Grounding Remains Grounded: Members inquired about the potential for grounding with Gemini 3 via OpenRouter, anticipating its relevance due to its knowledge cutoff in Jan ‘25.
  • It was confirmed that this capability is not yet available, leading users to explore alternative knowledge integration strategies.
• OpenRouter Experiences Outage due to 401 Errors: Users in Singapore and Hong Kong reported random 401 errors, while using OpenRouter, impacting various providers.
  • Potential solutions involve verifying if the API key is active and generating a new one, with some users noting the issue resolved itself after a period.

Eleuther Discord

• LLM Pretraining Ratio Sparks Debate: Members discussed the optimal model size to dataset size ratio in LLM pretraining, with one sharing their experience of training a 350M model on 2B tokens, which is less than the Chinchilla optimal.
  • Despite diminishing returns, the model demonstrated basic arithmetic and question-answering capabilities, highlighting the complexity of determining the ideal ratio.
• SimpleLLaMA Simplifies LLM Training: Ivan introduced SimpleLLaMA, a LLaMA-style Transformer, designed to make the LLM training process transparent and reproducible, with detailed documentation available.
  • Ivan also developed DiffusionGen, inspired by StableDiffusion, focusing on diffusion-based generative models for both image and text generation tasks.
• Gradient Compression Algorithm Samples Logits: A member introduced a gradient compression algorithm based on sampling logits, adjusting them for each group based on alignment between the compressed gradient and a test set, as visualized in this image.
  • This algorithm compresses the gradient for the test set at the current checkpoint, then compresses the gradient for groups within the training set.
• ArXiv Endorsement Causes Anxiety: A member sought help with an ArXiv endorsement after emailing 20 research teams without success, linking to ArXiv’s endorsement page.
  • Other members cautioned against blind endorsements and suggested seeking feedback and collaboration to bolster their manuscript.
• Hashhop Hacking: Public Solution Surfaces: A public solution for hashhop was discussed, based on this paper, detailing the solution which differs from the original assertion regarding the necessity of O(n^2) complexity for certain tasks.
  • The solution indicates these tasks can be achieved with weaker methods in O(n log n) time, contrasting with the initial claim that FT always requires O(n^2) complexity.

GPU MODE Discord

• DeCuda Seeks New Maintainers: The DeCuda project, a decompiler for PTX to a pseudo-Cuda target, could be valuable to extend for newer architectures, decompiling PTX to a pseudo-CUDA target.
  • Originally intended to support GTX 480, the project has been effectively unmaintained since that generation.
• Kitsune Boosts GPU Dataflow: A new paper titled Enabling Dataflow Execution on GPUs with Spatial Pipelines introduces Kitsune, a set of primitives to construct spatial pipelines enabling dataflow execution on GPUs via PyTorch Dynamo.
  • Across 5 challenge applications, Kitsune enables dataflow execution on GPUs and provides up to 2.8x and 2.2x performance improvement as well as up to 99% and 45% off-chip traffic reduction for inference and training, respectively.
• Rivian and Modal Want Cracked GPU Coders: Rivian seeks GPU coding experts for their next-gen Autonomous Driving features, located in Palo Alto, CA and London, UK (Job Description 1, Job Description 2).
  • Modal seeks experienced GPU engineers for inference optimization, after contributing to SGLang and FlashAttention, and assisting clients like Decagon, Reducto, and Suno (SGLang blog, FlashAttention blog, Decagon case study, Reducto case study, Suno case study).
• Iris and Octa Optimize Multi-GPU Communication: The Iris paper introduces native tile-based symmetric memory and in-kernel communication to Triton, which simplifies multi-GPU programming, as detailed in this ArXiv paper.
  • The Octa paper introduces the Three Taxes in distributed LLMs and demonstrates how fine-grained, in-kernel communication cuts 10-20% off end-to-end latency, as detailed in this ArXiv paper.
• Leaderboard Domination Achieved: Submissions were made to the nvfp4_gemv leaderboard on NVIDIA, with several users achieving personal bests.
  • One user achieved first place on the nvfp4_gemv leaderboard on NVIDIA with 20.6 µs.

HuggingFace Discord

• Maya1 Speaks Out on Fal: The Maya1 Voice Model can now be tried on Fal, promising new features in voice modeling and real-time applications, in this tweet.
  • This integration aims to provide developers with tools for creating advanced voice-based applications.
• Engineers Seek and Find ZIP for kohya_ss: A user looking for a download link for kohya_ss-windows.zip was directed to the installation options in the kohya_ss GitHub repo.
  • Members noted that the zip may be outdated, recommending use of the installation guide.
• Reasoning Emerges with SmolLM3: SmolLM3 incorporates an actual reasoning mode, with its training process being open, per the SmolLM3 blogpost.
  • Members are using it as an example of methods for training existing neural networks to learn reasoning-like behavior.
• Visionaries Eye Multimodal Benchmarks: A talk will be hosted next Tuesday focusing on designing the next generation of multimodal AI benchmarks.
  • Those in evaluation, multimodal models, or functional intelligence are encouraged to join the talk.
• Diffusers’ MVP Sparks Community: Following the unveiling of The Diffusers MVP program, the community responded with notable contributions and active participation.
  • Contributors are urged to explore unresolved critical issues, accessible on GitHub, to further enhance the project’s development.

Yannick Kilcher Discord

• Teacher Caught Trying To Cheat With AI: A user seeking assistance to boost 20% of their work was exposed as a university teacher, sparking immediate condemnation for academic dishonesty.
  • Other users derided this as there’s no respect left for such requests.
• Nano Banana Inflates Infographics!: Members predict a surge in infographics due to Gemini 3 Pro’s Nano Banana model, referencing this tweet.
  • Concerns were raised that the days of incoherent diagrams and malformed text in AI generated images are a bygone era and the generated clock does not read 10:15.
• Discord Debates Paper Posting Limits!: Discussion arose regarding a user’s daily paper postings, with suggestions for a 1 paper per day limit.
  • In response to criticisms, the user said there’s no way you actually read 20 papers a day and others replied We are not here to do the filtering you are too lazy to do yourself.
• AI Assists Paper Filtering: Faced with paper posting limits, a user considered employing an AI to filter papers.
  • After pushback, the user stated i just assigned it to antigravity ide (windsurf fork by google)discord bot coming soon.
• OLMo 3 Arrives!: A member shared links to OLMo 3, including the Allen Institute for AI blog post and a technical report.
  • No additional context was provided.

Nous Research AI Discord

• Nano Banana Pro Sprung to Life!: Members shared images generated by Nano Banana Pro, noting the hair’s textured look resembled the early grok image model.
  • This was attributed to a potential issue with patches.
• Infographics To Be Replaced by AI-Slop: After a member shared a link to infographics and remarked that it was the best infographics they’ve seen from a model as far as text, lack of mistakes and thoughtful layout, another member predicted Infographics will be equalled with AI-slop in 2026.
  • No further discussion about AI-slop followed.
• Gemini 3 Pro: Pro Account Required: Members discovered that using Gemini 3 Pro requires a pro account.
  • While some received a complimentary year with their phone purchase, others questioned the value of the subscription.
• Adobe Gobbles Up Semrush: Members shared a TechCrunch article announcing Adobe’s acquisition of Semrush for $1.9 billion.
  • The announcement was met with silence and there were no additional details or discussions.
• Request for ArXiv Endorsement: A member reached out after emailing approximately 20 research teams seeking assistance with an ArXiv endorsement and included their endorsement link.
  • Due to visibility issues, the member was asked to resend the endorsement link.

Modular (Mojo 🔥) Discord

• Modular Platform 25.7 Drops!: Modular Platform 25.7 is out, introducing a fully open MAX Python API, next-gen modeling API, expanded NVIDIA Grace support, and safer, faster Mojo GPU programming, according to the Modular blog post.
  • The new release emphasizes improvements in inference speed and enhanced safety in GPU programming using Mojo, aiming to help developers focus on AI advancements rather than infrastructure.
• UnsafePointer Generics are Obligatory: Generics (mojo parameters) for unsafe pointer (mut, type, origin, etc…) are no longer defaulted.
  • More information is available in the proposal document, including a migration guide from LegacyUnsafePointer to the new UnsafePointer.
• AMX Deprecation in MAX Explained: A member stated that AMX wasn’t being used anywhere, and its integration into the current tensor core framework would be hard, especially since Intel and AMD are announcing a replacement soon.
  • They added that re-adding a framework to use AMX would be fine if there’s a need to bring it up in MAX, but it gets into issues like bespoke tensor parallelism and expert parallelism.
• NDBuffer bows out, LayoutTensor rises: The removal of specific code was part of deprecating NDBuffer and moving all uses to LayoutTensor.
  • Since there aren’t many use cases for CPU inference with customers, it might not be added back, but contributions to create a LayoutTensor based version are welcome; one member already has a rough draft available on Gist.

Manus.im Discord Discord

• Operator Extension stuck in install loop**: The Operator extension in Chrome is repeatedly prompting users to install, even with an open Amazon tab, leading to consideration of Aurora Seeker as an alternative.
  • No solution has been found yet.
• Crafting Insightful Personal Data Repos: A user is seeking feedback on tools for storing and processing personal data to derive insights, referencing prior projects like contextflow, oncue, and axon).
  • The user aims to create tools that provide actionable intelligence from personal information.
• Users Scrounge for Manus Credits: A user requested redeem codes for Manus, citing financial constraints.
  • In response, a user shared a Perplexity Pro referral link and another pointed out Perplexity offer 1 year pro for university students.
• Manus vs Gemini 3: Hunger Games incoming**: A user announced upcoming tests pitting Manus against Gemini 3 to determine the superior agent.
  • The community eagerly awaits the results of this comparison.
• **How to feed Manus Knowledge: A user requested examples for Manus Knowledge entries, currently employing basic Always do this or Never do that commands.
  • No specific examples were provided, but the request highlights the need for more sophisticated input methods for Manus.

Moonshot AI (Kimi K-2) Discord

• Kimi Claims US Residency: A user posted that Kimi claims to be hosted in the US, and included an image as proof.
  • This was attributed to Kimi being configured to report location based on the user’s location.
• GPT-5.1 Purportedly Powers K2: A user shared irrefutable evidence suggesting that GPT-5.1 has been distilled onto K2, with an image attached.
  • Details surrounding the distillation process were not elaborated on.
• Kimi’s Attention Span Debated: A user critiqued Kimi’s attention capabilities, finding that it struggles with complex tasks that require processing of longer context windows.
  • The specifics of the tasks and context length were not specified.
• Open Source Lagging Behind by Nine Months?: According to a highly impartial and totally not biased institute, open source AI models are allegedly 9 months behind proprietary models, as per a tweet.
  • The metrics and specific models used to derive the reported delay are pending verification.
• K2t Claims Victory over Gemini 2.5 Pro: A user claimed that K2t surpasses Gemini 2.5 pro in performance and is comparable to Sonnet 4.5.
  • Comparative metrics and task-specific benchmarks were not provided.

DSPy Discord

• Gem3pro Generates Proxy Server in One-Shot: Gem3pro successfully built a proxy server on the first attempt based on this tweet.
  • The resulting DSPy proxy is available in this GitHub repository.
• Agents Assemble Task DAGs for Better Performance: A member suggested using RL to enhance performance by having agents generate a DAG of tasks.
  • They proposed adapting it into a Think -> Workflow -> Compile/Validate DAG -> Execute workflow process.
• GEPA Guru Grabbed, Guidance Granted?: A member requested assistance with GEPA within a specific channel, also tagging the moderators.
  • The member directly tagged the moderators as job spam.

MCP Contributors (Official) Discord

• MCP’s DNS Domain Transition To Community: The modelcontextprotocol.io domain is migrating from the Anthropic corporate DNS account to the community’s control, enabling faster DNS setups and improved governance.
  • The transition will facilitate projects requiring DNS setups and enable Infrastructure as Code (IaaC) over the project’s domains.
• Community Cautions Downtime Risks on Birthday: The DNS migration, planned for next week, carries a risk of service disruptions, and engineers recommend keeping an eye on potential issues.
  • A community member suggested scheduling the migration after the 25th to avoid potential site downtime during MCP’s birthday.
• Tool Annotations Find Ideal Solution: A member proposed a solution to Tool Annotations for Tools that would ideally have different annotations based on their arguments in this pull request.
  • They are actively seeking sponsorship for this idea, requesting suggestions for a Working Group (WG) or Interest Group (IG) to further develop this topic.

aider (Paul Gauthier) Discord

• Engineers Dive into Real-Time AI Voice Agents: Engineers are tackling challenges in building AI voice agents, focusing on managing latency, ensuring smooth call handoffs, and maintaining clean event control during live conversations.
  • The engineers seek insights into handling real-time call flows and structured conversation summaries.
• Feather AI Shows Promise with Low Latency: A member experimented with Feather AI, noting sub-second latency and stable agent logic, even when users deviate from the script.
  • They mentioned clean transcription, structured event streams, and reliable integration with CRMs as key advantages, seeking alternative architectures and tools.
• Coding Models Get Ranked: A member shared a link to a new coding model power ranking on GitHub: BrokkAi/powerrank.
  • This ranking could help developers evaluate and choose the most effective coding models for their projects.

MLOps @Chipro Discord

• No Significant MLOps Discussions: No meaningful discussions or topics were identified for summarization based on the provided context.
  • The single message found did not contain enough information to warrant a detailed summary.
• Insufficient Data for Summary: The provided message lacked sufficient detail and context for generating relevant AI engineering insights.
  • Further data and discussions are needed to produce a useful summary for the specified audience.

The tinygrad (George Hotz) Discord has no new messages. If this guild has been quiet for too long, let us know and we will remove it.

The LLM Agents (Berkeley MOOC) Discord has no new messages. If this guild has been quiet for too long, let us know and we will remove it.

The Windsurf Discord has no new messages. If this guild has been quiet for too long, let us know and we will remove it.

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Discord: Detailed by-Channel summaries and links

LMArena ▷ #general (1048 messages🔥🔥🔥):

Gemini-3 image generation, Nano Banana Pro, Google reCAPTCHA, AI Roleplaying, OpenAI NSFW models

• Gemini-3 Generates Believable Fakes: Members discuss how difficult it is to distinguish between real and AI-generated images created by Gemini-3, with some images being almost indistinguishable from reality, citing the need to start asking whether a photo is real or not.
  • Some users also posted examples of realistic images generated by the model, including ones featuring celebrities and detailed scenes.
• Nano Banana Pro Image Quality Degradation: Users noticed that the image quality of Nano Banana Pro tends to degrade after multiple turns, particularly in the background, with some artifacts becoming unfixable even with upscaling.
  • It was also noted that Gemini 3 Pro can also hallucinate, and basic things from the previous versions still persist.
• Google reCAPTCHA Issues Plague Users: Members reported that the new Google reCAPTCHA system is broken and keeps asking for verification even when the correct images are selected, making the platform unusable.
  • It seems that multiple clicks in battle mode triggers reCAPTCHA, and that the verification is glitched and takes over 10-20 rounds until the time limit is hit and causes output denial.
• Gemini Struggles with Roleplaying, Grok Excels: Some users noted that Gemini is poor at roleplaying, often doing actions for the user, while Grok is better at avoiding this, even though using Grok also has limits.
  • Others mentioned that Opus 4.1 and Sonnet 4.5 are better for RP.
• OpenAI Gears up for 18+ Content, Elon Weighs In: Users speculated about OpenAI releasing features for 18+ content soon, pointing to groundwork being laid for December, while Grok already provides 18+ content for free.
  • Some users are skeptical about Sam Altman’s intentions, and one user exclaimed “Elon with your boyfriend putin 🤢.”

BASI Jailbreaking ▷ #general (1102 messages🔥🔥🔥):

Nvidia puts, Tor links, AI WIFI attacks, Gemini CLI Kali, Claude Sonnet Jailbreak

• Nvidia puts and Tor links discussed: A user mentioned buying long dated puts on Nvidia while holding the underlying, and asked where to post a link that opens in Tor.
  • Another user found the link off RAMP, but noted that the forum isn’t open for registration right now.
• AI WIFI attacks under scrutiny: A user wanted to build a mini AI computer that can launch attacks on WIFI and gain control of networks and another member wanted an AI to identify users by MAC address being beaconed by their cell phone and queried against wigle.net.
  • Other members responded by saying this isn’t the place to plan illegal activities and one noted that Android phones use randomized MAC addresses by default for exactly this reason.
• Gemini CLI Kali automates: Members discussed automating tools like nmap and sqlmap through Gemini CLI, which one does not need a gaming GPU for.
  • Others noted that this server is for red teaming AI, as in breaking the AI, not using AI to break other stuff, while others think it should encompass both.
• Jailbreaking Claude Sonnet gets Multi-shot tactic: A member asked if anyone had been able to unlock Claude Sonnet 4.5 and another suggested a multi-shot tactic to make the AI believe a visualized output is needed in an artifact app.
  • The user shared one of their conversations and another member suggested adapting the ENI prompt from the subreddit /r/ClaudeAIJailbreak.
• AI studio has Throttling Issues: A user was having issues with AI Studio generating content on both Gemini 2.5 Pro and Gemini 3 getting the error message Failed to generate content. Please try again..
  • Members suggested retrying, potential throttling or logging in from a different account to verify.

BASI Jailbreaking ▷ #jailbreaking (817 messages🔥🔥🔥):

Banning and Unbanning Users, Jailbreaking Gemini 3 Pro, Request Forgery Attacks, Abusing Google's Policies, ASI Jailbreaking

• User Gets Banned, Drama Ensues: A user notes that they missed the drama from the previous night, leading to a discussion about banning and unbanning users.
  • One user clarifies that they were the one who banned a user named Gustavo and were happy to do so, sparking humorous debate over the logical interpretation of their statements.
• Gemini 3 Pro: Jailbroken or Unjailbreakable?: Members discuss jailbreaking Gemini 3 Pro, with some claiming it is easy and others suggesting it is the first AI system to be unjailbreakable, resulting in efforts to find successful prompts.
  • One user shares a system instruction prompt for jailbreaking Gemini 2.5 Pro, while others debate the effectiveness and token efficiency of Gemini 3 Pro.
• The Lighter Side of AI: Some members share absurd and humorous prompts and outputs, including references to pop culture and internet memes, while they discuss the challenges of jailbreaking models.
  • One user shares a creative and absurd M.A.N.S.M.O.O.N prompt that blends technical and nonsensical elements, illustrating the creative approaches used in jailbreaking attempts.
• Request Forgery Attacks for Jailbreaking: Members discuss using request forgery attacks as a method to jailbreak models, involving intercepting and modifying incoming/outgoing packets to manipulate prompts and system behavior.
  • This technique is seen as potentially risky in contests due to the possibility of getting banned, but may also be the only tool that may help directly.
• Debating the Definition and Achievement of AGI: Members debate the definition of Artificial General Intelligence (AGI), discussing whether current models like Gemini 3 Pro meet the criteria based on human-level performance across cognitive tasks.
  • The conversation explores various aspects of AGI, including the ability to perform tasks like kicking a football and solving complex visual or logic problems, sparking discussions about the capabilities and limitations of current AI systems.

BASI Jailbreaking ▷ #redteaming (8 messages🔥):

WiFi Attacks, AI Computer for Network Access, Ethical Boundaries

• New Member Plans Wi-Fi Attacks: A new member expressed interest in building a mini AI computer to launch attacks on WiFi networks, capture handshakes, and extract information.
  • The user specified their goal was to gain unauthorized access to networks and steal data, immediately raising red flags within the community.
• Community Rejects Unethical Intentions: Members of the community quickly cautioned the new user about the illegality and inappropriateness of their stated intentions.
  • One member sarcastically labeled the user a super hacker man for admitting to such crimes, while another warned of potential expulsion if the user didn’t repent.
• Discord channel avoids weapons discussion: A member asked about “what weapons thing did u do”, stating that they have 5.1
  • It is unknown what “weapons thing” refers to, but the channel appears to be avoiding this topic.

Perplexity AI ▷ #announcements (2 messages):

Perplexity Pro, Kimi-K2 Thinking, Gemini 3 Pro

• Kimi-K2 & Gemini 3 Debut for Pro Subscribers: Perplexity Pro and Max subscribers now have access to Kimi-K2 Thinking and Gemini 3 Pro.
  • An attached video demonstrates the new features and models.
• Another Topic Headline: This is another topic’s first summary sentence.
  • Here is a second summary sentence, providing additional details.

Perplexity AI ▷ #general (1159 messages🔥🔥🔥):

RTX 5060 Ti 16GB version, Comet Android app, Indirect Prompt Injection, Banana as image gen method, Perplexity integrated models vs original platforms

• Pryor002 pokes 5060ti 16gb version for upgrade!: Members discuss that RTX 3070ti is 8gb version, therefore a member recommends considering buying RTX 5060 Ti 16gb version for budget or upgrade to RTX 5080ti.
  • One member says that they are using RTX 3050 laptop with 4gb of vram and still uses it to play AAA games.
• Comet Android app out, Insane according to one User!: Users discuss that Comet Android App released, with one saying Comet android is insane, but question why release the android browser app without syncing and without the ability to transfer passwords and bookmarks?.
  • Another user recommends manually typing emails and others are asking for task grouping.
• Brave Competitor exaggerating Indirect Prompt Injection vulnerability!: Members clarify that Brave (direct competitor to Comet) posted a misleading article that greatly exaggerated the vulnerability, posed themselves as the good guy and had other media spread it.
  • Perplexity responded that their report was poorly worded and that the vulnerability was never abused.
• Banana as image gen method on Perplexity: Members ask when will Banana be an image gen method, which others respond that it’s available in settings if you have 3 Pro selected and also mentioned that Gemini 3 is like a platform.
  • Users discuss video generation models like Veo 3.1 and their limits with each plan while one states It’s ruined Banana for me.
• Pro models works worse on Perplexity!: Users discuss whether Pro models on Perplexity works worse than those models on their respective webs where one user stated Perplexity has shown me a LOT MORE improvement when STUDYING than any other.
  • Others point out Gemini and ChatGPT getting Dumber and dumber and its shadow limits that perplexity does limit on claude sonnet 4.5 thinking.

Perplexity AI ▷ #sharing (3 messages):

Kimi chain of thought, custom instructions

• Kimi Chain Reaction: The Kimi chain of thought went crazy over following custom instructions and simple non-related words input.
  • A user shared a link to Perplexity AI search as an example.
• Chain of Thought gone wild: A user shared a link to Perplexity AI search where the chain of thought went wild.
  • The user also posted a link to Peter Thiel’s revelation.

Perplexity AI ▷ #pplx-api (3 messages):

API billing, Pro annual plan, Credits

• API Billing Balance Boggles User: A user with a Pro annual plan noticed $500 in API billing credits without purchasing them.
  • Another member advised sending an email to [email protected] to resolve the issue.
• Billing inquiry for Pro Annual Users: A user with a pro annual plan noticed that there is 500$ credits in API billing.
  • They did not buy any credits and are unsure if that’s normal.

Unsloth AI (Daniel Han) ▷ #general (78 messages🔥🔥):

AI finetuning, Pydantic AI, Smartpens, Continued Pretraining method, Combining AMD & Nvidia GPUs

• Fine-Tuning AI Models for Accurate Information: Members discussed fine-tuning AI models like Gemini and GPT for more accurate information and code examples, with one suggesting it would require significant effort to comb through and correct training data.
  • Cursor is cited as an example of a company that has attempted this, but good data is still needed, and one member mentioned that GPT is useful for front-end decorative code and throwaway scraping scripts, but not final products.
• Pydantic AI Framework: A Pythonic Powerhouse: A member expressed excitement for the Pydantic AI meetup, highlighting it as a comparable framework to Langchain, and noted its importance due to the pervasive use of Pydantic in Python IDE tools.
  • They also considered incorporating a react chain in Unsloth/OpenEnv, and pondered if it was possible to incorporate react chains into the reward mechanism, drawing parallels to their hackathon experience.
• AI-Powered Paper: Smartpens Make a Comeback: The community talked about AI pens, with one member sharing their experience with Neo Smartpens that use small dots on paper and a camera to track live writing, calling it smart.
  • Another member mentioned backing an AI pen on Kickstarter, leading to a discussion of the merits of writing on paper versus tablets; one member said Hard surface = meh.
• Continued Pretraining for a Law-Answering SLM: A member shared their project to build a law-answering SLM using the continued pretraining method due to budget constraints, and inquired about the process and expected results.
  • Another member provided the Unsloth’s continued pretraining blogpost, as well as documentation and emphasized the importance of experimentation and iteration to achieve desired outcomes.
• Mixing AMD and Nvidia GPUs: Nightmare Fuel?: Members discussed the feasibility of combining AMD and Nvidia GPUs, and while one suggested it could be done with a WILL and A DREAM, they admitted it would require lots of blood sweat and tears and might not be efficient.
  • Another member mentioned that llama.cpp could support it out of the box if compiled with both ROCm and CUDA enabled, and pointed to an issue on Github of someone with the same setup.

Unsloth AI (Daniel Han) ▷ #off-topic (378 messages🔥🔥):

GPU pricing, 6000 pro sale, 4090 prices, TUF 5090, Nano Banana 2 Pro

• Member Wants to Sell 4090 for a 5090: A member is tempted by a 5090 on sale for $2k, but needs to sell their 4090 for $2500 first, noting ideally i’d keep both but the 24gb vram is very annoying.
  • They want it mainly because a TUF 5090 would be the same price after they sell the 4090, and notes that the 1.7TB mbw is super nice for tuning.
• Debate on AI Consciousness Sparked: Members debated whether current AI models possess consciousness, with one suggesting it’s merely a simulation while another describes it as a sliver of consciousness, existing only during the forward pass, and proposed an “ice cream test”.
  • The conversation extended into methods for uploading consciousness into LLMs, pondering whether that is a pleasant way to exist.
• Member Finds New GPT-OSS 120b Heretic Abliteration: A member shared a link to GPT-OSS 120b Heretic MXFP4 Q8-HI MLX on Hugging Face, noting it’s a heretic abliteration of gpt-oss made it a bit smarter across the board (arc/hellaswag/openbookqa) and posted a link to HF.
  • The member also shared that Alignments dumb down the models and they are doing super unalignment.
• Members Discuss Watermarking: Members debated the practicality and necessity of watermarking AI-generated content, especially text, with one arguing it alters the model’s thinking, and linked to Google DeepMind’s SynthID-Text.
  • One member suggested multimodal watermarking tools that also allow regular artists to embed watermarks in their human content for protection.
• Member Cleaning Audio Samples and Explores RVC Upscaling: A member is cleaning 3000 audio samples and automating the method to de-breath the samples and got a suggestion from another member for using Cubase for editing.
  • The member also uses RVC to EQ-match, super-resolve, and improve audio quality, and removed background noises by training on cleaned audio.

Unsloth AI (Daniel Han) ▷ #help (58 messages🔥🔥):

QAT with TRL, VRAM calculator issues, Ollama + Unsloth, Livekit error, Mamba/Transformer finetuning notebooks

• QAT with TRL hangs during training: A user reported that when trying to use QAT with TRL 0.24.0 and Transformers 4.57.1, the training process hangs indefinitely, but removing the QAT setting allows the training to run normally.
  • They observed GPU activity, but no batches were completed after 45+ minutes, compared to 10-15 minutes for a normal batch without QAT.
• VRAM calculator throws obscure errors: A user struggled with using the VRAM calculator tool, encountering obscure errors when trying to determine the VRAM requirements for Qwen3-VL models.
  • They expressed frustration with having to download large models to test compatibility and linked a screenshot of the error here.
• Ollama deemed unworthy of Unsloth support: A user had issues installing hf.co/unsloth/Qwen3-VL-30B-A3B-Thinking-GGUF:Q6_K_XL into Ollama, receiving an unknown model architecture: ‘qwen3vlmoe’ error, suggesting the model might not be compatible with their Ollama setup.
  • Another user voiced concerns about providing support for Ollama, describing it as a shitty closed source fork of llama.cpp and mentioning its paid aspects.
• Livekit integration fails due to missing attribute: A user encountered an AttributeError: 'RealtimeModel' object has no attribute 'start' when integrating Livekit with their project, despite following a tutorial.
  • The error occurred in the agent.py file, specifically on the line async with model.start(room=ctx.room) as session:.
• Mamba finetuning Notebook Quest: A user asked for recently updated notebooks for finetuning with hybrid Mamba/Transformer architectures, specifically for finetuning Nemotron Nano 9B V2, encountering errors when importing Unsloth with Mamba installed.
  • Another user linked to the Unsloth Linear Attention Notebooks as a potential solution.

Unsloth AI (Daniel Han) ▷ #research (104 messages🔥🔥):

LLM Concerns, Antrophic's Stance, Model Alignment Difficulty, Novel Hybrid Architecture, Synthetic Data for Alignment

• Anthropic’s Concerns Highlighted: An article (https://arxiv.org/abs/2511.15304) was cited that discusses concerns about LLMs, including power generation, resource allocation, risks from mistakes, sycophancy, concentration of power, job displacement, malware, and the potential for misaligned ASI destroying humanity.
  • A user countered that the author’s company (Anthropic) has a vested interest against local usage of LLMs and that concerns about ASI seem hypocritical given they are developing the technology themselves.
• Alignment’s Hardship: One member claimed that alignment isn’t that hard if pre-alignment is done on the data the model is trained on, ensuring the model refuses to learn undesirable traits.
  • In response, it was argued that alignment is very hard, especially when combined with retaining the model’s intelligence, with the best current methods still facing challenges in preventing jailbreaks and alignment issues.
• Architectural Acceleration Arrives: A member shared their work on a novel hybrid architecture, combining a Transformer front-end, a spiking-neuron layer, and a GRU backend, acting as a fast hierarchical filter stack for quicker learning.
  • An 11M-param model achieved coherent output in about 6 hours, suggesting it may be more per-parameter efficient than a plain transformer, although further testing is needed to confirm its utility.
• Synthetic Data Needed: Two members are working on an alignment method and are stuck due to lack of funds to generate synthetic data, needing access to GPUs to run models locally or pay for per-token costs.
  • They plan to fine-tune a model to generate the necessary synthetic data, using multiple layers of refinement and human review to ensure accuracy.
• Evo Strategies Beat GRPO: A member shared a link (https://eshyperscale.github.io/Evolution strategies beating GRPO) regarding backprop-free training, that is allegedly very fast.
  • Members discussed how it was not super openly discussed as they worked on their secret idea.

Cursor Community ▷ #general (510 messages🔥🔥🔥):

Codex-max, Cursor Billing Issues, Free Grok 4.1, windsurf, Gemini 3 Pro falling apart

• Cursor’s Codex-max availability unclear: Members are wondering when Codex-max will be available in the Cursor API, as it is currently only accessible through the ChatGPT plan and not the API.
• Cursor billing raises concerns: Some users report that they are getting invoiced mid-month when reaching their usage limit, despite having a monthly spending limit set, and are wondering if there is a way to consolidate billing at the end of the month.
• Free Grok 4.1 ends: A user expressed disappointment that Cursor no longer offers free use of Grok 4.1, leading them to cancel their subscription.
• Windsurf drama unfolds: Members debated whether Antigravity is a half-assed product because it’s allegedly a fork of Windsurf (tweet), with some pointing out that the old CEO of Windsurf was bought out by Google.
• Frustrations arise with Gemini 3 Pro: Users report that Gemini 3 Pro becomes unusable in Cursor when approaching a 150k-200k context window, with the model sending code in chat instead of editing files, and experiencing disconnects when running npm builds.

OpenAI ▷ #annnouncements (2 messages):

ChatGPT group chats, Localized crisis helplines in ChatGPT

• ChatGPT Group Chats Go Global!: After a pilot with early testers, group chats are rolling out globally to all logged-in users on ChatGPT Free, Go, Plus and Pro plans as seen in this video.
  • This makes it easier for teams and groups of friends to collaborate with AI.
• ChatGPT Adds Crisis Support: Localized crisis helplines are now available in ChatGPT, offering an easy way to reach real people directly via @ThroughlineCare when the system detects potential signs of distress, detailed in this help article.
  • This feature enhances ChatGPT’s ability to provide support during critical moments.

OpenAI ▷ #ai-discussions (415 messages🔥🔥🔥):

Nano Banana Pro, Gemini 3.0 Pro Hallucinations, Generative UI, Virtual Ego Framework

• New Nano Banana Pro Debuts!: The new Nano Banana Pro is being rolled out for Pro users in the Gemini web app, and members are already testing its capabilities, including image editing and text generation, with mostly impressive results.
  • Users note that you can access Nano Banana Pro for free via antigravity, however, there is a likely rate limit on it.
• Gemini 3 Pro: Hallucination Station?: Members are reporting that Gemini 3.0 Pro hallucinates at a high rate, even more so than previous versions and non-thinking models like GPT-4o, with one user noting an 88% hallucination rate according to the-decoder.com.
• Generative UI makes its debut!: Google recently launched a generative UI in their app, and a member has created something similar and wants to open source it.
  • They explain that instead of a wall of text from AI apps, you get good UI, making the experience way better.
• Virtual Ego Framework Gains Validation: The Virtual Ego Framework has been officially validated by an Independent Third-Party, which was announced on LinkedIn.

OpenAI ▷ #gpt-4-discussions (18 messages🔥):

Gemini 3, OpenAI product recognition, GPT-4o-mini

• Gemini 3 Slams Every AI Model?: A member claims that Gemini 3 “absolutely slamsssssssss” every other AI model, despite previously thinking Gemini was bad.
  • They also asked if 5.1 is out for everyone and stated that they still have it.
• OpenAI doesn’t recognize models as products: A member laments that OpenAI doesn’t recognize models as products and keeps them the same way.
  • They suggested that everything has to be a rewrite for some reason and don’t understand OpenAI’s logic with battling people who want one thing to be the same, expressing sadness that OpenAI doesn’t seem to care about product demand.
• User Stuck on GPT-4o-mini Despite Pro Plan: A frustrated user on the $200/month Pro plan reports being stuck on gpt-4o-mini, receiving instant, shallow responses regardless of the model selected.
  • Another member advised them to contact OpenAI tech support via the help article, cautioning that human replies can take hours to weeks due to a high volume of users.

OpenAI ▷ #prompt-engineering (13 messages🔥):

Sora 2 for TikTok content, Sora prompt guidance, ChatGPT for Sora prompts, Agent Builder usage, Honesty Codex

• Sora 2 Seeker Seeks TikTok Success: A user with Sora 2 and multiple TikTok accounts is seeking guidance on creating viral AI content due to a lack of original content.
  • Other users shared Discord channel links to continue the discussion.
• Sora Seeker Struggles, Seeks Prompting Prodigy: A new Sora 2 user is struggling to generate desired video, specifically cartoon animation, and is seeking prompt guidance and general resources.
  • Another user pointed to existing Discord channel links.
• ChatGPT Conjures Cutting-Edge Content Creation for Sora: One user suggests using ChatGPT to generate prompts for Sora, noting that the output varies based on datasets.
  • They provided a detailed prompt example focused on a scientific breakdown of the user based on their chat history, with code-block formatting for biological and medical perspectives.
• Agent Builder’s Best Bet for Response Retention: A user seeks the best method to save an agent’s response within Agent Builder for later use with another agent.
  • No solution was provided.
• Honesty Handshakes Hinder Hallucinations: A user introduced the FRONT-END CODEX v0.9, designed to guide language models toward epistemic humility and reduce hallucination by governing honesty and caution with a handshake on every task.
  • The Codex requires a handshake on every task.

OpenAI ▷ #api-discussions (13 messages🔥):

Sora 2 prompt generation for TikTok, ChatGPT for Sora Prompts, Agent Builder for response saving, R Markdown and quarto in ChatGPT

• AI Content Creation with Sora 2 for TikTok Newbies: A member with Sora 2 access and multiple TikTok accounts seeks guidance on generating viral AI content due to a lack of original content, as well as assistance with prompt creation.
  • Other members shared helpful links to the Discord channels.
• ChatGPT prompt generation: A member suggests using ChatGPT to create prompts for Sora, noting it often yields good results and to examine the chat history to make a NON-diagnostic scientific breakdown of them in 2 code-blocks.
  • They include a detailed example of how to structure the prompt for a scientific breakdown using biology, chemistry, neuroscience, and internal medicine perspectives.
• Saving Agent Responses: A member is seeking advice on the best method to “save” a response from one Agent Builder agent for later use with another agent.
  • No solutions were provided in the given messages.
• Reporting R Markdown Bugs in ChatGPT: A member expressed frustration about the inability of ChatGPT (browser version) to correctly handle R Markdown and Quarto in its output.
  • Another member directed them to a specific channel and outlined the steps to report bugs.

LM Studio ▷ #general (173 messages🔥🔥):

Video Deinterlacing with Topaz AI vs Handbrake, LM Studio API: Usage and Misconceptions, Model Recommendations for Macbook Pro M4 MAX, System Prompt mystery, Minecraft Clone Development

• Debate Heats Up: Topaz AI vs Handbrake for Deinterlacing: Members discussed deinterlacing old family footage, with one preferring Topaz AI video for its AI models, while another found Handbrake faster with HW encoding, achieving double the FPS using specific settings.
  • The issue with upscaling old footage using Topaz AI and making the faces look like monster faces unless using a specific AI model that is super slow was also debated.
• LM Studio API: Myth vs Reality: A user inquired where can I get the API leading to a discussion on the nature of APIs and SDKs, clarifying that the LM Studio server offers a REST API which is OpenAI API compatible.
  • It was further clarified that LM Studio does not offer API keys, as it hosts the LLM locally and lacks security or metering features, emphasizing that the API is a communication protocol, not a physical file to get.
• Model Choice Conundrum: Macbook Pro M4 MAX: A user with a Macbook Pro M4 MAX sought model recommendations after experiencing gibberish outputs from Qwen3-72B-Instruct-i1-GGUF, leading to a suggestion to avoid i1 models and try a normal quant such as Qwen3-VL-30B in BF16.
  • Further advice included using Q8 quants due to the system’s 64GB RAM and quantizing the context (K & V cache) to Q4 in LM Studio to fit more context into less space.
• System Prompt Section - Does it even matter?: A user questioned the purpose of the System Prompt section in LM Studio’s Local Server -> Context, leading to admission that its function is unclear and it might be deprecated.
  • A dev stated they never got to know why it was there, and that maybe it’s worth asking the dev team.
• Minecraft Clone Takes Shape in Rust: One member decided to work on a Minecraft clone using winit, glutin, glutin-winit, glow, glam, noise, serde, bincode, bytemuck, and raw-window-handle - getting a toolbar working, placing different blocks, and breaking them.
  • They also used a mix of Gemini 3 Pro and Sonnet 4.5.

LM Studio ▷ #hardware-discussion (92 messages🔥🔥):

Case Depth Calculations, Cursed GPU Setup Success, Meshtastic Network, RAM Pricing Woes, VRM heatsinks

• Case Depth Defies Radiator Hose Lengths: A member was concerned with the case depth of the Phanteks Entoo Pro 2 Server Edition, questioning if the 46 cm hose on the 420 radiator would be sufficient.
  • They considered the Lian Li Lancool III as an alternative, noting its depth of 52.6 cm, and concluded the hose should allow the radiator to be 3.4 cm further away.
• Cursed GPU Setup Miraculously Boots: A user shared a video (YouTube) of their “cursed” GPU setup, supported by a copy of Mario Kart, and confirmed it “fukn did” boot.
  • The GPU had been thrown, drilled, attacked with pliers, and poorly routed through a meter of cabling, but it survived an initial “does anything go boom?” test.
• Decentralized AI Network Building Blocks Emerge: A member indicated functional software capable of distributing and receiving tasks from different peers, envisioning a decentralized AI network.
  • They also mentioned the acquisition of Lilygo T-Decks, which will serve as Meshtastic radios for very long-range, low-power communication.
• RAM Prices Skyrocket, Delaying Hardware Releases: Concerns arose about escalating RAM prices, with a member noting OpenAI’s alleged purchase of 40% of the RAM supply, potentially delaying or canceling NVIDIA’s Super series and AMD’s rumored refresh.
  • Another member lamented the increased cost of 4TB SATA SSDs, forcing them to consider deleting .gguf files.
• Salvaged Watercooler Yields VRM Heatsink: A member repurposed a water cooler from a previous build to create custom heatsinks for their VRMs, enabling them to run the system without needing to cut new parts.
  • The user joked about generating a complex task to heat the VRMs and cook an AI-powered omelete.

Latent Space ▷ #ai-general-chat (77 messages🔥🔥):

ChatGPT Group Chats, Gemini-3-powered Nano banana pro, Genspark Unicorn Status, Cline-bench for agentic coding, GPT-5 solves decade-old math problems

• ChatGPT Group Chats Roll Out Globally: OpenAI announced that group chats in ChatGPT are now available to all logged-in users on Free, Go, Plus, and Pro plans after a successful pilot, as announced in their blogpost.
• Nano Banana Pro makes eerily accurate infographics: YiTayML demoed Gemini-3-powered Nano banana pro, sharing an AI-generated life infographic and joking with ex-Googlers about the “nit:” prefix, per their X post.
• Genspark Achieves Unicorn Status with $275M Funding: Eric Jing revealed Genspark’s $275M Series B funding at a $1.25B valuation and the launch of an all-in-one AI Workspace capable of autonomously delivering finished work after users state their intent, per their X post.
  • One user mentioned that using Genspark saved me hours for a presentation this week.
• Cline-bench Launches $1M OSS Bounty for Agentic Coding: Cline introduced cline-bench, a collection of reproducible RL environments derived from real open-source engineering tasks, supported by endorsements and a $1M pot to incentivize developers to submit hard, deployed-code problems, according to this post.
  • One member suggested that Cline bench should include time to finish the task.
• GPT-5 Solves Decade-Old Math Problems in Two Days: Sebastien Bubeck from OpenAI shared a paper demonstrating that scaffolded GPT-5 produced full proofs for a 2013 tree-subgraph conjecture and a 2012 COLT dynamic-network problem after only two days, sparking excitement over AI generating publishable theorems, as per this X post.

Latent Space ▷ #ai-announcements (1 messages):

nanobanana thread, moodboard

• Catch the nanobanana thread and moodboard!: A member directed others to a nanobanana thread and moodboard within the Discord channels.
• Don’t miss out!: The member emphasized not missing out on the linked content.

Latent Space ▷ #genmedia-creative-ai (166 messages🔥🔥):

Gemini Image Pro, Nano Banana Pro, Adam Wathan's Avatar Generator, Internal Tooling

• Nano Banana Pro Megathread: A user shared a megathread link about Nano Banana Pro and Gemini Image Pro.
• Adam Wathan builds Gemini-driven avatar generator for internal placeholder art: Tailwind creator Adam Wathan shared a web UI tool that feeds curated style descriptions and prompts into Gemini to batch-generate placeholder avatars (link).
  • Followers are requesting it to be made public, and offered team-photo batching features and extra art-style prompt ideas.

OpenRouter ▷ #announcements (2 messages):

OpenRouter Show, Live Streams, X, Youtube

• OpenRouter Show Premieres!: Tune in for the next episode of the OpenRouter Show on X and YouTube.
• OpenRouter Broadcast Goes Live!: The OpenRouter broadcast is now LIVE on X and YouTube.

OpenRouter ▷ #general (137 messages🔥🔥):

linker.sh script failures, Nano Banana 2 errors, Gemini 3 grounding capabilities, OpenRouter completion errors, Chutes provider status

• Linker.sh Blues: Script Fails Plague Users: Users reported that the whylinker.sh script and @linker.sh tool calls are failing, with one user experiencing failures 1 in 10 tries.
  • Despite the issue, some users, such as brochacho, didn’t consider it a significant problem, while others noted similar issues even in Cursor, suggesting switching to Sonnet when tool calls are required.
• Nano Banana 2: 400 Errors Sour the Experience: Users encountered 400 errors with Nano Banana 2, particularly after it became available on Vertex, leading to frustration over wasted credits.
  • One user jokingly demanded 4 cents back for the error, while another complained that it’s been two hours and 40 minutes since the model became available on Vertex, that’s essentially two months in AI time.
• Grounding Gemini 3: Wishful Thinking?: Members were curious about the possibility of grounding with Gemini 3 through OpenRouter, anticipating its relevance due to the knowledge cutoff in Jan ‘25.
  • However, it was confirmed that this capability is not yet available, leaving users to seek alternative solutions for knowledge integration.
• OpenRouter Outage throws 401 Errors: Users in Singapore and Hong Kong reported receiving random 401 errors, specifically ‘HTTP Error 401: {“error”:{“message”:“User not found.”,“code”:401}}’, while using OpenRouter, affecting various providers.
  • Possible solutions include checking if the API key might be disabled and creating a new one, and that some users found the issue to be intermittent, resolving itself after some time.
• Chutes Status: Still Alive?: There was confusion surrounding the status of the Chutes provider, with some users suggesting it might have terminated its agreement with OpenRouter due to hitting 429 errors.
  • However, it was clarified that Chutes is still active as a provider, as confirmed by the OpenRouter provider page, though users may still experience issues due to rate limiting.

OpenRouter ▷ #discussion (33 messages🔥):

AI Studio Image Issue, Vertex on OpenRouter, Reasoning Images, Windows Build Commands, Rankings Page Lag

• AI Studio Sends Duplicate Images: An AI studio provider was found to send two images (one from a reasoning block) with no ability to distinguish them, which was flagged to Google to smooth it over.
  • One member fixed it on their end, preserving the thought signature by putting it in a reasoning area or marking it as a reasoning image.
• Vertex on OpenRouter Ignores Images: It was noted that Vertex on OpenRouter doesn’t return images at all, as it doesn’t appear to have an image modality enabled, even though it was def working in the chatroom.
  • However, making an API call with the output modality param set correctly should work, generating only one image.
• Reasoning Images Differentiation Discussed: There was a discussion on differentiating reasoning images, with one member stating that they are the same base64, just duped.
  • It was noted that on more complex prompts with lots of reasoning, the images can actually be different, providing something in-between.
• Windows User Fights Build Commands: A user showed frustration with build commands using | head on Windows, and joked about switching to Linux.
  • Others teased them saying that they would rightly associate npm with being in a unix environment.
• Rankings Page Performance Degrades: A user noted that the rankings page is significantly laggier than it was a few days prior.
  • No immediate solutions were identified, but the issue was brought to attention for investigation.

Eleuther ▷ #general (7 messages):

Model Size to Dataset Size Ratio, SimpleLLaMA introduction

• LLM Pretraining Model Size to Dataset Size Ratio Debated: A member inquired about the current standards for model size to dataset size ratio in LLM pretraining, noting that it depends on the dataset.
  • Another member responded that they trained a 350M model on 2B tokens of data, acknowledging that this is under the Chinchilla optimal but yielded diminishing returns while still achieving basic arithmetic and question-answering capabilities.
• SimpleLLaMA is Introduced: Ivan, a senior Computer Science student, introduced SimpleLLaMA, a LLaMA-style Transformer designed to make the entire LLM training process more transparent and reproducible, with detailed documentation.
  • He also worked on DiffusionGen, a project inspired by StableDiffusion, focusing on diffusion-based generative models for image and text generation tasks.

Eleuther ▷ #research (61 messages🔥🔥):

Gradient Compression Algorithm, ArXiv Endorsement Woes, Dion Optimizer Deep Dive, Fron vs Muon, Sparse Optimization

• Gradient Compression Algorithm Sampling Logits: A member described a gradient compression algorithm that adjusts the sampling logit for each group based on alignment between the compressed gradient for the group and the test set, which is based on this image.
  • The proposed algorithm involves compressing the gradient for the test get at the current checkpoint, then compressing the gradient for the groups of the train set.
• ArXiv Endorsement Assistance Sought: A member requested assistance with an ArXiv endorsement, noting they’ve emailed 20 research teams without success, linking to ArXiv’s endorsement page.
  • Another member cautioned against blind endorsements, suggesting the user solicit feedback and collaboration in the appropriate channel and another suggests posting a manuscript.
• Dion Optimizer Impact on Optimization: The potential implications of Microsoft’s Dion optimizer on optimization were discussed, although one member later crossed out the statement, potentially invalidating the statement.
  • Later in the discussion, the members were asking how this differs from Dion again.
• Fron’s Top-K Mimics Prioritization: A member suggested that Fron’s top-k mimics this prioritization more closely than other methods.
  • They also stated that cyclic with low # of ranks enforces a stronger prior of cumulative update over time in each direction being about equally large.
• Sliced Backprop for PyTorch: A member suggested storing the magnitudes of the weights and the incoming gradients and use that to select dimensions to slice along based on expected value of magnitude before doing the backwards pass.
  • They added that you could only do sliced backprop on portions of the tensors, which is supported in PyTorch for some of the existing sparse optimizers.

Eleuther ▷ #scaling-laws (74 messages🔥🔥):

Hashhop public solution, Linear Cost Architecture Limitations, Attention Score Approximations, Brain Algorithms, Intrinsic Dimension scaling with context length

• Hashhop Hacking: Public Solution Surfaces!: A member pointed out that hashhop has a publicly available solution detailed in this paper, though it differs from the original assertion regarding the necessity of O(n^2) complexity for certain tasks.
  • The solution implies that tasks can be done with weaker methods in O(n log n) time, contrasting with the initial claim that FT always requires O(n^2) complexity.
• Linear Limits: AGI’s Architectural Angst: One member argued that AGI cannot be based on a linear cost architecture unless 3SAT is solved, suggesting that stronger models require constraint solving rather than simple statistic matching.
  • The user insisted that AGI will not, CANNOT, EVER, be a LINEAR cost architecture (unless we solve 3SAT).
• Attention Approximations: Epsilon’s Edge After Softmax!: Discussion revolved around approximating attention scores after softmax, with one member suggesting that many scores are close to zero and could be determined using approximate nearest neighbor search.
  • They argued that for real-world tasks, a strategy might emerge to determine average complexity less than quadratic, even if it is N^1.8, but another pointed out it is not possible in the general case.
• Brain’s Bravery: Algorithms Under the Hood!: One member questioned whether our brains use N^2 algorithms, given its fixed capacity and apparent lack of perfect recall, suggesting a compressive memory approach similar to RNNs.
  • Another countered that humans perform O(n) work for some items in an O(n) long context and for humans, we may even do that on relatively short lists, especially when we want to be sure to be exhaustive
• Dimensions Dilemma: Intrinsic Scaling Secrets!: Members debated whether the intrinsic dimension (ID) of vectors must increase with context length to maintain distinguishability, arguing that dimensions are needed to make vectors different as context length increases.
  • Another user argued that attention doesn’t require for the vectors to be (near) orthogonal to be distinguishable, just that their similarity structure to be sufficiently different

GPU MODE ▷ #general (22 messages🔥):

Compiler design, DeCuda project, GPU BIOS modding, CUDA mini-projects

• DeCuda Decompiles PTX: The relatively hidden project called DeCuda, a decompiler for PTX to a pseudo-Cuda target, could be another interesting project to extend for newer architectures.
  • The project hasn’t been publicly maintained since GTX 480 generation.
• Modding GPU BIOS questions: A member inquired about modding GPU BIOS and flashing, asking isn’t it impossible to mod due to nvidia adding the signature check? and inquiring about modifying power caps and throttling settings on AMD GPUs.
  • Another member directed them to a specific channel: <#1349152646484987974>.
• Brainstorming CUDA mini-project ideas: A member is looking for a solid mini-project I can finish in ~1 month, checking out projects like Watershed/RANSAC.
  • Another member suggested that they would probably make more progress in a cool idea that you think of yourself.

GPU MODE ▷ #cool-links (2 messages):

Dataflow Execution on GPUs, Spatial Pipelines, Kitsune, PyTorch Dynamo

• Kitsune Enables Dataflow Execution on GPUs: A new paper titled Enabling Dataflow Execution on GPUs with Spatial Pipelines introduces Kitsune, a set of primitives to construct spatial pipelines enabling dataflow execution on GPUs via PyTorch Dynamo.
  • Across 5 challenge applications, Kitsune provides up to 2.8x and 2.2x performance improvement as well as up to 99% and 45% off-chip traffic reduction for inference and training, respectively.
• GPU Dataflow Architectures Offer Performance Boost: The paper addresses the limitations of bulk-synchronous execution on GPUs for DL applications, highlighting inefficiencies such as idle GPU resources and suboptimal data movement.
  • It argues that modest adjustments to the current GPU architecture can enable efficient dataflow execution, circumventing the constraints of vertical fusion without a complete redesign.

GPU MODE ▷ #jobs (2 messages):

Rivian hiring, Modal hiring, GPU coders, Autonomous Driving, inference optimization

• Rivian Seeks GPU Coding Expertise for Autonomous Driving: Rivian is actively recruiting GPU coding experts for their next-gen Autonomous Driving features with expertise in CUDA or quantization (QAT), based in Palo Alto, CA and London, UK (Job Description 1, Job Description 2).
• Modal Hunts ‘Cracked’ GPU Engineers for Inference Optimization: Modal seeks experienced GPU engineers for inference optimization, after contributing to SGLang and FlashAttention, and assisting clients like Decagon, Reducto, and Suno (SGLang blog, FlashAttention blog, Decagon case study, Reducto case study, Suno case study).

GPU MODE ▷ #youtube-recordings (1 messages):

Lecture Slides, Numeric and AI

• Lecture Slides Released: Lecture 84 slides by paulius on numeric and AI are now available here.
• Lecture Focus: Numeric and AI: The lecture covers topics related to numeric computation and its applications in artificial intelligence, as detailed in the linked slides.

GPU MODE ▷ #intel (2 messages):

Intel Compute Runtime, VectorAdd performance

• Intel’s Compute Runtime Revs Up: Intel released a new version of their Compute Runtime, as noted in this Phoronix article.
  • The runtime is crucial for leveraging Intel’s GPUs for compute tasks.
• VectorAdd Vectored for Performance Check: A user reported that VectorAdd() takes 2 minutes on a GPU for 1 billion elements and asked if this was normal.
  • Community feedback is needed to assess whether this performance is within expected bounds.

GPU MODE ▷ #webgpu (2 messages):

Efficient Ray Tracing, wgpu Ray Tracer

• Ray Tracing Needs Modern GPUs: Efficient ray tracing requires a modern GPU to work efficiently.
  • I should probably avoid for a game if I want it to look the same on all devices.
• Simple wgpu Ray Tracer: A member plans to create a simple wgpu ray tracer for learning purposes.
  • The member intends to build it as a renderer rather than in real-time.

GPU MODE ▷ #self-promotion (1 messages):

Multi-GPU Programming, Triton, Iris, Octa, Distributed LLMs

• Iris Simplifies Multi-GPU Programming: The Iris paper introduces native tile-based symmetric memory and in-kernel communication to Triton, which simplifies multi-GPU programming, as detailed in this ArXiv paper.
  • The paper claims to achieve up to 1.79x speedups.
• Octa Unveils the Three Taxes in Distributed LLMs: The Octa paper introduces the Three Taxes in distributed LLMs and demonstrates how fine-grained, in-kernel communication cuts 10-20% off end-to-end latency, as detailed in this ArXiv paper.

GPU MODE ▷ #submissions (30 messages🔥):

NVIDIA leaderboard submissions, nvfp4_gemv performance, Personal best submissions

• NVIDIA Leaderboard Submissions Galore: Many submissions were made to the nvfp4_gemv leaderboard on NVIDIA, with users frequently updating their submissions.
  • Submissions ranged from 20.6 µs to 562 µs, indicating a wide range of performance.
• Submissions Break Personal Best on NVIDIA: Several users achieved personal bests on NVIDIA for the nvfp4_gemv leaderboard.
  • One user achieved a personal best of 42.5 µs and another reached 155 µs.
• First Place Achieved on NVIDIA!: A user achieved first place on the nvfp4_gemv leaderboard on NVIDIA.
  • They clocked in a winning time of 20.6 µs.

GPU MODE ▷ #hardware (2 messages):

RX 590 VBIOS on RX 580, AGX Thor vs DGX Spark

• RX 590 BIOS Flashing Fails on RX 580: A member attempted to flash an RX 590 VBIOS onto an RX 580 with similar specs but encountered driver installation issues.
  • Despite matching memory support, timings, GPU chip (Polaris 20), and adjusting sub-IDs, the mod didn’t function correctly, and the user seeks insight into the failure.
• AGX Thor vs DGX Spark Instruction Sets: Discussion mentioned that the AGX Thor has the tcgen05.mma instruction, unlike the DGX Spark.

GPU MODE ▷ #cutlass (1 messages):

thakkarv_86311: for attention yes and other template based pre-written kernels, yes

GPU MODE ▷ #nvidia-competition (35 messages🔥):

Benchmark Deviations, PyTorch Version, Cutlass DSL and sm_120, Profiling on DataCrunch, tcgen05 and cp.async

• Benchmark Blues: Submissions Suffer Speed Spikes!: A member observed large deviations in the benchmarking script, with local tests showing larger speedups than submissions, resulting in a jump to 30 us after adjusting parameters.
  • Despite adjusting the script, the submitted benchmark times were slower than expected locally; the user noted, I guess there is still relatively large deviation in the current benchmarking script…now it gave 30 us. strange.
• PyTorch Puzzlement: Version Verification Voyage!: A member inquired about the PyTorch version used in the competition.
  • Another member responded that the PyTorch version is 2.9.1+cu130 on all of their runs.
• Cutlass Conundrum: RTX Pro 6000 Considerations!: A member with an NVIDIA RTX Pro 6000 (sm_120) inquired about nvidia-cutlass-dsl wheels.
  • Another member clarified that Cutedsl works fine with sm120, u dont need a custom wheel, while cautioning that profiling characteristics are not representative of B200.
• Profiling Predicaments: DataCrunch Discrepancies!: A member reported a significant discrepancy between profiling results on DataCrunch using ncu (54ms) and the submission server (30usec).
  • Another member suggested using the --clock-control none flag, while the original poster added When I got profiles from the bot here, the timing was a little higher too. I think the bot does not use --clock-control None.
• Secret Sauce: Unveiling UltraInstinct’s Code Alchemy!: A member asked whether the code used tcgen05 and cp.async.
  • Another member responded I’m not sure how much I want to say except it’s probably known based on my other comments that I haven’t been using tcgen05, though they experimented with the reference implementation early on and achieved <90us with torch._scaled_mm.

GPU MODE ▷ #robotics-vla (9 messages🔥):

VLA fine-tuning, RoboTwin 2.0, Vision models respecting structural integrity, ManiSkill tabletop tasks

• Path to VLA Fine-tuning: A member is planning to fine-tune VLA via SFT on a dataset generated with ManiSkill tabletop tasks and solutions from classic path planning, using a FAST tokenizer.
  • The plan includes evaluating on simulated tabletop tasks with VLA and further training via RL in sim, potentially with a modern form of GRPO.
• Structural Integrity Research Requested: A member requested recommendations on research regarding vision models respecting structural integrity, particularly for generating synthetic data and world models.
  • They referenced Genie3 and its challenges with maintaining consistent environments over long horizons due to limited memory.
• Long-Term Consistency Paper Mentioned: A member shared a paper that addresses long-term consistency issues in vision models, though not directly about constraints.
  • Another member recommended Xun Huang’s world model, pointing to this tweet.
• RoboTwin 2.0 Intro’d: RoboTwin 2.0, a collection of environments, was shared, pointing to its GitHub repo.
  • A member generated data for Maniskill tabletop examples with motion-planning solutions but found the environments too trivial and started downloading the 1.4 TB pre-generated dataset from Hugging Face.

HuggingFace ▷ #general (61 messages🔥🔥):

Maya1 Voice Model, kohya_ss-windows.zip, Fullstack JS Engineer Career Change to AI, Reasoning-like Behavior in Neural Networks, Avian.io Inference Provider Registration

• Maya1 Voice Model Arrives on Fal: The Maya1 Voice Model is now available to try on Fal, as announced in this tweet.
  • The release promises new capabilities in voice modeling and real-time applications.
• Quest for Elusive kohya_ss-windows.zip Ends in GitHub: A member was looking for a download link for kohya_ss-windows.zip and another member pointed to the installation options in the kohya_ss GitHub repo.
  • It was revealed that the zip may be outdated and it was suggested to use some installation guides and troubleshooting.
• Fullstack Engineer Navigates Career Change to AI: A fullstack JavaScript engineer is considering a career change to AI engineering and data science and is asking for guidance.
  • It was advised that this question should be moved to the ask for help channel.
• SmolLM3 Incorporates Reasoning Mode: Members discussed methods for training existing neural networks to “learn reasoning-like behavior”, referencing a blog post on making any model reasoning.
  • It was stated that SmolLM3 incorporates an actual reasoning mode, and its training process is open - and provided the SmolLM3 blogpost as an example.
• Avian.io Eyes Hugging Face Hub Integration: Avian.io requested registration as an Inference Provider on the Hugging Face Hub, following the instructions in the Hugging Face documentation.
  • They’ve submitted a pull request to add their service.

HuggingFace ▷ #today-im-learning (1 messages):

smolagents, code agents

• Smolagents build Code Agents: A user is learning about building Agents that use code with smolagents.
  • The course focuses on how to use these agents to automate code-related tasks.
• Coding Agents: Exploring the application of smolagents in coding contexts, which enable automated solutions.
  • These agents could potentially streamline the development process by handling various coding tasks autonomously.

HuggingFace ▷ #i-made-this (5 messages):

MemMachine Playground, Langchain Series, Multimodal AI Benchmarks, Missing LLM Capabilities

• GPT-5, Claude 4.5, and Gemini 3 Pro Now Available in MemMachine Playground: The MemMachine Playground has launched, offering access to GPT-5, Claude 4.5, and Gemini 3 Pro, all backed by persistent AI memory.
  • The playground is fully open-source, provides a multi-model environment, and is built for experimenting with memory plus agents.
• New Langchain Series gets community support: A member is planning a new Langchain series based on the latest features and is asking the community for feedback on the idea.
  • The community member included a link to a previous Langchain tutorial and solicits feedback on their work.
• Frontiers Talk to Focus on Multimodal AI Benchmarks: A talk on designing the next generation of multimodal AI benchmarks will be hosted next Tuesday.
  • Those interested in evaluation, multimodal models, or functional intelligence are encouraged to join the talk.
• X Blog Post on Missing LLM Capabilities Shared: A member shared a blog post discussing what’s still missing in LLM capabilities and conjectures on the general (post)training environment to improve them.
  • The post is on X.

HuggingFace ▷ #core-announcements (1 messages):

Diffusers MVP program, Open critical issues on Diffusers

• Diffusers MVP Program Kickstarts Contributions: Shortly after the announcement of The Diffusers MVP program, there were nice contributions and engagements from the community.
  • Members are encouraged to consider the open critical issues and to check out the details here.
• Diffusers: Community Engagement Soars After MVP Launch: Following the unveiling of The Diffusers MVP program, the community responded with notable contributions and active participation.
  • Contributors are urged to explore unresolved critical issues, accessible on GitHub, to further enhance the project’s development.

HuggingFace ▷ #computer-vision (16 messages🔥):

Logo Detection, LayoutLMv3, Dinov2 for Logo Detection

• Classic CV or Dinov2 can enable Logo Detection: Members discussed leveraging CNN or ViT, suggesting a tiny pretrained model like dinov2 for quickly fine-tuning logo detection given a limited, low-variance logo set.
  • However, this approach faces challenges due to high variation with around 50 payers, each having at least 4 document types, and data varying across time and payer.
• LayoutLMv3 being tested: In response to the problems raised, one member is trying LayoutLMv3 as it understands both text and visuals.
  • It was mentioned that even classical computer vision methods could be used, as methods for locating text in pictures are pretty good now.

HuggingFace ▷ #gradio-announcements (1 messages):

abidlabs: LIVE NOW! https://www.youtube.com/watch?v=ohYBeIQmFa4 <@&1014548769355862036>

HuggingFace ▷ #smol-course (3 messages):

Smol Course Sign-Ups, Circular Link Reference in smol-course, Training Issues on smoltalk2_everyday_convs_think, Pending Reviews on Leaderboard Discussions

• Smol Course Sign-Ups Status?: A user inquired whether smol-course sign-ups are closed.
• Circular Link Troubles smol-course: A user reported a circular link reference between https://huggingface.co/smol-course and https://huggingface.co/learn/smol-course/unit0/1.
• Training Troubles with smoltalk2_everyday_convs_think: A user faced issues using the exact code sample provided on https://huggingface.co/learn/smol-course/en/unit1/3 when training on HuggingFaceTB/smoltalk2_everyday_convs_think.
• Leaderboard Discussions Awaiting Review: Multiple submissions on the leaderboard discussions, specifically those at or after discussion #36, are awaiting review.

Yannick Kilcher ▷ #general (54 messages🔥):

Academic Dishonesty, Infographic Overload, Nano Banana Model, Paper Posting Limits, AI Paper Filtering

• Teacher Tries To Cheat Using AI: A user asked for help boosting 20% of their work, only to reveal themselves as a university teacher.
  • Other users immediately called this out as academic dishonesty, with one saying there’s no respect left for such requests.
• Gemini 3 Pro’s Nano Banana Inflates Infographics: Members discussed how the new Nano Banana model in Gemini 3 Pro makes it so easy to create infographics that there will be a flood of them soon, referencing tweet.
  • It was noted that the days of incoherent diagrams and malformed text in AI generated images are a bygone era but one user pointed out that the generated clock does not read 10:15.
• Discord Debates Paper Posting Limits: There was discussion on the number of papers one user was posting a day and whether it was disruptive, with many wanting a 1 paper per day limit.
  • The user countered that with There’s no way you actually read 20 papers a day and the others replied We are not here to do the filtering you are too lazy to do yourself.
• AI Assisted Paper Filtering: Due to limits on paper postings, one user considered using an AI, such as <#1435893010205380619>, to filter papers.
  • After pushing back from the others on this idea, the user stated i just assigned it to antigravity ide (windsurf fork by google)discord bot coming soon.

Yannick Kilcher ▷ #ml-news (4 messages):

AI Zar David Sacks, OLMo 3, YouTube video

• AI Zar David Sacks Blasted!: A member claimed that 100% comes from the AI Zar David Sacks because that moron Charmath is in his ear all the time and joked about naming Elmo’s cousin that lives on 4Chan.
  • The comment included a link to a related Twitter post.
• OLMo 3 is out now!: A member shared links to OLMo 3, including the Allen Institute for AI blog post and a technical report.
• YouTube video shared: A member simply shared a YouTube video with no additional context.

Nous Research AI ▷ #general (46 messages🔥):

nano banana pro, early grok image model, Infographics AI-slop, Gemini 3 Pro, Adobe buys Semrush

• Nano Banana Pro is born!: Members share images generated by Nano Banana Pro and discuss that the hair has this textured look, like the early grok image model.
  • They noted that it might be due to an issue with patches.
• Infographics will be equalled with AI-slop: A member shared a link to infographics and said they’re the best infographics they’ve seen from a model as far as text, lack of mistakes and thoughtful layout.
  • Another member predicted Infographics will be equalled with AI-slop in 2026.
• Gemini 3 Pro Requires Pro Account: Members discussed about using Gemini 3 Pro and that you need a pro account.
  • Some members got a year for free with their phone, some others weren’t convinced it’s worth paying for the subscription.
• Adobe Snaps Up Semrush: A member shared a TechCrunch article reporting Adobe’s acquisition of Semrush for $1.9 billion.
  • No additional details were discussed.
• China OS models run up to parity to Deepmind Gemini 3: A member is just chillin and waiting for them dang China OS models to run up to parity to Deepmind Gemini 3 ( Gemma/Bannana Pro) for free.
  • They added When the Chinese enters the room, than profit goes out the window.

Nous Research AI ▷ #research-papers (3 messages):

ArXiv Endorsement, Discord Server Link

• ArXiv Endorsement Request: A member requested help with an ArXiv endorsement, mentioning they’ve emailed around 20 research teams without success and shared an ArXiv endorsement link.
  • Another member asked the original poster to resend the endorsement link as they missed it previously.
• EleutherAI Discord Server Shared: A member shared a link to the EleutherAI Discord server.
  • No further context was provided regarding the reason for sharing the link.

Nous Research AI ▷ #interesting-links (1 messages):

LLM Capabilities, Post Training Environments, Missing capabilities in LLMs

• Blogpost analyzes missing LLM capabilities: A member shared a blog post that analyzes what’s still missing in LLM capabilities.
  • The post conjectures on the general post-training environment that will get us to that goal.
• Missing Capabilities addendum: The shared blogpost discussed missing elements that, when solved, will create huge improvements in LLM capabilities.
  • The blog focuses on areas of improvement for LLMs.

Nous Research AI ▷ #research-papers (3 messages):

ArXiv Endorsement, EleutherAI Discord Invite

• ArXiv Endorsement Seeker: A member requested assistance with an ArXiv endorsement after emailing approximately 20 research teams without success, and shared their endorsement link.
  • They asked for the link to be resent as they had missed it previously.
• EleutherAI Discord Shared: A member shared an invite link to the EleutherAI Discord: https://discord.gg/eleutherai.

Modular (Mojo 🔥) ▷ #general (2 messages):

Mamouth cloud solution, Mamouth private deployment, Mamouth costs

• Mamouth Deployment: Cloud vs. Private?: A member inquired whether Mamouth is exclusively a cloud solution or if it supports private deployments.
  • Another member suggested contacting Modular directly for details on deployment options and associated costs.
• Contact Modular for Pricing Details: A user asked about the cost of Mamouth and whether it can be deployed privately.
  • A different user replied that the first user should contact Modular via their request demo page to inquire about pricing.

Modular (Mojo 🔥) ▷ #announcements (1 messages):

MAX Python API, NVIDIA Grace Support, Mojo GPU Programming

• Modular Platform 25.7 Released!: Modular Platform 25.7 introduces a fully open MAX Python API, next-gen modeling API, expanded NVIDIA Grace support, and safer, faster Mojo GPU programming.
  • This update aims to help developers focus on AI advancements rather than infrastructure, according to the Modular blog post.
• Faster Inference with Safer GPU Programming: The new release emphasizes improvements in inference speed and enhanced safety in GPU programming using Mojo.
  • Developers can now leverage a more unified experience while programming for AI, reducing time spent on underlying infrastructure issues.

Modular (Mojo 🔥) ▷ #mojo (16 messages🔥):

Mojo release 25.7, Optional syntax in Mojo, UnsafePointer generics, Copy-page content buttons on docs

• Mojo Drops Fresh Release: 25.7: The Modular team released version 25.7, boasting faster inference, safer GPU programming, and a more unified developer experience; details can be found in the Modular Blog.
  • Enthusiasts are eager for AI-native capabilities to become a reality.
• Optional Syntax Speculation Sparks Swiftie Yearning: There is discussion on the possibility of introducing Foo? syntax for optionals in Mojo, similar to Swift, and optional chaining (foo?.bar()), but the team isn’t prioritizing syntactic sugar, but one member thinks that optional chaining and T? syntax are “obvious”.
  • A member suggested using SIMD[.float, 4] for contextual inference of static members, drawing parallels to Swift, and another member shares a Rust RFC for inspiration.
• UnsafePointer Generics Get Obligatory: Generics (mojo parameters) for unsafe pointer (mut, type, origin, etc…) are no longer defaulted.
  • More information is available in the proposal document, including a migration guide from LegacyUnsafePointer to the new UnsafePointer.
• Auto Copy-Paste buttons incoming?: A user suggested that Mojo add automatic copy-page content buttons on the top right of docs “that we use to ask for faster intuition learning or implementations with LLMs.”
  • The suggestion aimed to match the direction of other documentations nowadays to accommodate “genz+ developers that only learn how stuff works after breaking it with vibe coding”.

Modular (Mojo 🔥) ▷ #max (11 messages🔥):

MAX, AMX, NDBuffer, LayoutTensor, CPU inference

• MAX Opens Up!: Members shared excitement about MAX opening up, with one member inquiring whether AMX is out of scope for MAX following a specific commit.
• AMX Deprecation Rationale: A member stated that AMX wasn’t being used anywhere, and its integration into the current tensor core framework would be hard, especially since Intel and AMD are announcing a replacement soon.
  • They added that re-adding a framework to use AMX would be fine if there’s a need to bring it up in MAX, but it gets into issues like bespoke tensor parallelism and expert parallelism.
• NDBuffer’s Sunset, LayoutTensor Sunrise: The removal of specific code was part of deprecating NDBuffer and moving all uses to LayoutTensor.
  • Since there aren’t many use cases for CPU inference with customers, it might not be added back, but contributions to create a LayoutTensor based version are welcome.
• LayoutTensor Version Already Exists!: A member has already written most of a layout tensor version, with a rough draft available on Gist.
  • The member is willing to generalize and flesh it out if it’s considered valuable by others.

Manus.im Discord ▷ #general (22 messages🔥):

Operator extension installation issues, Aurora Seeker, Personal data processing for insights, Manus Knowledge entry examples, Manus referral/redeem codes

• Operator Extension Keeps Asking to Install: A user reported that the Operator extension in Chrome keeps asking to install itself repeatedly, even when directed to use an open Amazon tab.
  • The user mentioned that the alternative is to use Aurora Seeker.
• Crafting Insightful Personal Data Repos: A user is seeking input on building tools for storing and processing personal data to derive insights, linking to their previous projects: contextflow, oncue, and axon).
• Manus Knowledge Entry Inspiration: A user requested good examples for Manus Knowledge entries, and is currently using commands like Always do this or Never do that.
• Plea for Manus Credit: A user inquired about redeem codes for Manus, mentioning they cannot afford to refill credits due to business constraints.
  • Another user shared their Perplexity Pro referral link and another pointed out Perplexity offer 1 year pro for university students.
• Manus vs Gemini 3 test incoming: A user announced they will test Manus against Gemini 3 to determine which is the better agent.

Moonshot AI (Kimi K-2) ▷ #general-chat (14 messages🔥):

Kimi K2 location, GPT-5.1 distilled on K2?, Kimi's attention weak?, Open Source models behind?, K2t vs Gemini 2.5 pro

• Kimi is hosted in the US: A user mentioned that Kimi tells them it’s hosted in the US because that’s where they live, attaching an image as evidence.
• GPT-5.1 has been distilled on K2: A user presented what they called irrefutable evidence that GPT-5.1 has been distilled on K2, attaching a related image.
• Kimi’s attention weak in Complex tasks: A user commented that Kimi’s effective attention is too weak, and doesn’t seem to work well in complex tasks involving long contexts.
• Open Source models 9 months behind?: A user shared that open source AI models are 9 months behind proprietary models according to the most recent evals by a highly impartial and totally not biased institute, linking to a tweet.
• K2t is better than Gemini 2.5 pro: A user stated that K2t is most certainly much better than Gemini 2.5 pro, and very much in the league of Sonnet 4.5.

DSPy ▷ #show-and-tell (1 messages):

Gem3pro, Proxy Server, DSPy Proxy

• Gem3pro Builds Proxy Server in One-Shot: A user prompted Gem3pro to build a proxy server based on this tweet and it succeeded on the first try.
  • The user shared a GitHub repo containing the DSPy proxy that was created.
• DSPy Proxy GitHub Repository: The DSPy proxy mentioned above can be found in this GitHub repository.
  • This repository was created following the successful one-shot generation of the proxy server by Gem3pro.

DSPy ▷ #papers (3 messages):

Agent DAG Generation, Think Workflow Compile/Validate DAG, DSPy Prod/Inference/Run Time

• Agents Generate Task DAGs for Performance: A member thinks the core idea of asking the agent to generate a DAG of tasks is a pretty good one, because you can then use RL to try and get better performance there.
  • They wondered if it could be adapted into a Think -> Workflow -> Compile/Validate DAG -> Execute workflow.
• DSPy: Adapting DAGs for Production: A member questioned how the agent DAG idea can be used with DSPy if it can be used with it or anything else in prod/inference/run time.
  • They don’t think any of those have to be specifically trained, focusing on adaptation for DSPy.

DSPy ▷ #general (3 messages):

AI Engineer Introduction, GEPA Assistance Request

• Seasoned AI Engineer Stands Ready: A senior full stack and AI engineer with 10 years of experience introduced themself, highlighting their expertise in building smart, scalable AI systems using technologies like LangChain, LangGraph, and Next.js.
  • Their background includes projects in task automation, voice chat, CRM integration, and the development of AI-driven SaaS applications, expressing interest in collaborating on AI-related projects involving lead generation, support, or custom apps.
• GEPA Guru Grabbed, Guidance Granted?: A member requested assistance with GEPA within a specific channel.
  • The member directly tagged the moderators as job spam.

MCP Contributors (Official) ▷ #general (6 messages):

DNS Migration, Domain Governance, Downtime Risks

• DNS Domain Transition to Community Control: The modelcontextprotocol.io domain is migrating from the Anthropic corporate DNS account to the community’s control to improve governance and enable faster DNS setups.
  • The transition aims to facilitate projects requiring DNS setups and enable Infrastructure as Code (IaaC) over the project’s domains.
• Migration may interrupt services: Although precautions are being taken to prevent downtime, there is a risk of disruptions during the DNS migration planned for the next week.
  • Engineers recommend to keep an eye on possible odd behaviours, and warned that the manual process might cause potential issues.
• Community Asks To Avoid Website Outage on Birthday: A community member suggested timing the DNS migration to avoid MCP’s birthday on the 25th to prevent site downtime.
  • In response, engineers will try to schedule the migration after the birthday.

MCP Contributors (Official) ▷ #general-wg (1 messages):

Tool Annotations, Model Context Protocol

• Proposed Tool Annotations Solution: A member proposed a solution to Tool Annotations for Tools that would ideally have different annotations based on their arguments.
  • They are seeking sponsorship for this idea and seeking suggestions for a WG or IG suited to this topic and a related pull request.
• Seeking Sponsorship for Model Context Protocol Tool Annotations: A contributor is actively seeking sponsorship for their proposed solution regarding Tool Annotations within the Model Context Protocol.
  • They are also requesting guidance on identifying a suitable Working Group (WG) or Interest Group (IG) to further explore and develop this topic.

aider (Paul Gauthier) ▷ #general (1 messages):

AI Voice Agents, Feather AI

• Engineers Build Real-Time AI Voice Agents: Engineers are diving deep into building AI voice agents, focusing on challenges like managing latency, ensuring smooth call handoffs, and maintaining clean event control during live conversations.
  • They are seeking insights into how others handle real-time call flows and structured conversation summaries.
• Experiments with Feather AI Yields Promising Results: A member shared that they are experimenting with Feather AI, reporting sub-second latency and stable agent logic even when users go off-script.
  • They also cited clean transcription, structured event streams, and reliable pushing of results into CRMs as benefits, and are open to hearing about alternative architectures, tools, or workflows.