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Company: "google"
Execuhires Round 2: Scale-Meta, Lamini-AMD, and Instacart-OpenAI
o3-pro o3 o1-pro gpt-4o gpt-4.1 gpt-4.1-mini gpt-4.1-nano meta-ai-fair scale-ai lamini amd openai gemini google anthropic model-release benchmarking reasoning fine-tuning pricing model-performance direct-preference-optimization complex-problem-solving alexandr_wang sharon_zhou fidji_simo sama jack_rae markchen90 kevinweil gdb gregkamradt lechmazur wesrothmoney paul_cal imjaredz cto_junior johnowhitaker polynoamial scaling01
Meta hires Scale AI's Alexandr Wang to lead its new "Superintelligence" division following a $15 billion investment for a 49% stake in Scale. Lamini's Sharon Zhou joins AMD as VP of AI under Lisa Su, while Instacart's Fidji Simo becomes CEO of Apps at OpenAI under Sama. Meta offers over $10 million/year compensation packages to top researchers, successfully recruiting Jack Rae from Gemini. OpenAI releases o3-pro model to ChatGPT Pro users and API, outperforming o3 and setting new benchmarks like Extended NYT Connections and SnakeBench. Despite being slower than o1-pro, o3-pro excels in reasoning and complex problem-solving. OpenAI cuts o3 pricing by 80%, making it cheaper than GPT-4o and pressuring competitors like Google and Anthropic to lower prices. Users can now fine-tune the GPT-4.1 family using direct preference optimization (DPO) for subjective tasks.
Gemini 2.5 Pro (06-05) launched at AI Engineer World's Fair
gemini-2.5-pro qwen3-embedding-8b openthinker3-7b google qwen lighton morph-labs openai nvidia benchmarking reasoning coding math embedding-models late-interaction dataset-release model-performance model-architecture ai-conferences greg_brockman jensen_huang christian_szegedy swyx
At the second day of AIE, Google's Gemini 2.5 Pro reclaimed the top spot on the LMArena leaderboard with a score of 1470 and a +24 Elo increase, showing improvements in coding, reasoning, and math. Qwen3 released state-of-the-art embedding and reranking models, with Qwen3-Embedding-8B topping the MTEB multilingual leaderboard. OpenThinker3-7B emerged as the top open reasoning model trained on the OpenThoughts3-1.2M dataset, outperforming previous models by 33%. LightOn introduced FastPlaid, achieving up to a 554% speedup for late-interaction models. Morph Labs hired Christian Szegedy as Chief Scientist to lead Verified Superintelligence development. The AI Engineer World's Fair featured a fireside chat with Greg Brockman and NVIDIA CEO Jensen Huang, highlighting the return of basic research and engineering best practices.
not much happened today
codex claude-4-opus claude-4-sonnet gemini-2.5-pro gemini-2.5 qwen-2.5-vl qwen-3 playdiffusion openai anthropic google perplexity-ai bing playai suno hugging-face langchain-ai qwen mlx assemblyai llamacloud fine-tuning model-benchmarking text-to-video agentic-ai retrieval-augmented-generation open-source-models speech-editing audio-processing text-to-speech ultra-low-latency multimodality public-notebooks sama gdb kevinweil lmarena_ai epochairesearch reach_vb wightmanr deeplearningai mervenoyann awnihannun jordirib1 aravsrinivas omarsar0 lioronai jerryjliu0 nerdai tonywu_71 _akhaliq clementdelangue _mfelfel
OpenAI rolled out Codex to ChatGPT Plus users with internet access and fine-grained controls, improving memory features for free users. Anthropic's Claude 4 Opus and Sonnet models lead coding benchmarks, while Google's Gemini 2.5 Pro and Flash models gain recognition with new audio capabilities. Qwen 2.5-VL and Qwen 3 quantizations are noted for versatility and support. Bing Video Creator launched globally enabling text-to-video generation, and Perplexity Labs sees increased demand for travel search. New agentic AI tools and RAG innovations include LlamaCloud and FedRAG. Open-source releases include Holo-1 for web navigation and PlayAI's PlayDiffusion for speech editing. Audio and multimodal advances feature Suno's music editing upgrades, Google's native TTS in 24+ languages, and Universal Streaming's ultra-low latency speech-to-text. Google NotebookLM now supports public notebooks. "Codex's internet access brings tradeoffs, with explicit warnings about risk" and "Gemini 2.5 Pro is cited as a daily driver by users".
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chatgpt o3 o4 bagel-7b medgemma acereason-nemotron-14b codex gemini openai bytedance google nvidia sakana-ai-labs deep-learning-ai gemini agenticseek anthropic agentic-systems multimodality reasoning code-generation prompt-engineering privacy ethical-ai emergence synthetic-data speech-instruction-tuning low-resource-languages humor scaling01 mervenoyann sakananailabs _philschmid omarsar0 teortaxestex andrewlampinen sedielem cis_female
OpenAI plans to evolve ChatGPT into a super-assistant by 2025 with models like o3 and o4 enabling agentic tasks and supporting a billion users. Recent multimodal and reasoning model releases include ByteDance's BAGEL-7B, Google's MedGemma, and NVIDIA's ACEReason-Nemotron-14B. The Sudoku-Bench Leaderboard highlights ongoing challenges in AI creative reasoning. In software development, OpenAI's Codex aids code generation and debugging, while Gemini's Context URL tool enhances prompt context. AgenticSeek offers a local, privacy-focused alternative for autonomous agents. Ethical concerns are raised about AGI development priorities and Anthropic's alignment with human values. Technical discussions emphasize emergence in AI and training challenges, with humor addressing misconceptions about Gemini 3.0 and async programming in C. A novel synthetic speech training method enables instruction tuning of LLMs without real speech data, advancing low-resource language support.
OpenAI buys Jony Ive's io for $6.5b, LMArena lands $100m seed from a16z
gemini-2.5-pro gemini-diffusion openai lmarena a16z mistral-ai google google-deepmind multimodality reasoning code-generation math model-fine-tuning ai-assistants voice memory-optimization sundar_pichai
OpenAI confirmed a partnership with Jony Ive to develop consumer hardware. LMArena secured a $100 million seed round from a16z. Mistral launched a new code model fine-tune. Google DeepMind announced multiple updates at Google I/O 2024, including over a dozen new models and 20 AI products. Key highlights include the release of Gemini 2.5 Pro and Gemini Diffusion, featuring advanced multimodal reasoning, coding, and math capabilities, and integration of Gemini in Google Chrome as an AI browsing assistant. Deep Think enhanced reasoning mode and Project Astra improvements were also introduced, focusing on voice output, memory, and computer control for a universal AI assistant.
Google I/O: new Gemini native voice, Flash, DeepThink, AI Mode (DeepSearch+Mariner+Astra)
gemini-2.5-pro gemini-2.5 google google-deepmind ai-assistants reasoning generative-ai developer-tools ai-integration model-optimization ai-application model-updates ai-deployment model-performance demishassabis philschmid jack_w_rae
Google I/O 2024 showcased significant advancements with Gemini 2.5 Pro and Deep Think reasoning mode from google-deepmind, emphasizing AI-driven transformations and developer opportunities. GeminiApp aims to become a universal AI assistant on the path to AGI, with new features like AI Mode in Google Search expanding generative AI access. The event included multiple keynotes and updates on over a dozen models and 20+ AI products, highlighting Google's leadership in AI innovation. Influential voices like demishassabis and philschmid provided insights and recaps, while the launch of Jules as a competitor to Codex/Devin was noted.
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kernelllm-8b gpt-4o deepseek-v3 mistral-medium-3 qwen3 blip3-o xgen-small anisora stable-audio-open-small alphaevolve meta-ai-fair mistral-ai qwen deepseek salesforce bilibili stability-ai google benchmarking model-performance multilinguality hardware-optimization multimodality image-generation video-generation text-to-audio model-parallelism chain-of-thought instruction-following reasoning mitigation-strategies reach_vb lmarena_ai theadimeline adcock_brett jxmnop dair_ai omarsar0
Meta released KernelLLM 8B, outperforming GPT-4o and DeepSeek V3 on KernelBench-Triton Level 1. Mistral Medium 3 debuted strongly in multiple benchmarks. Qwen3 models introduced a unified framework with multilingual support. DeepSeek-V3 features hardware-aware co-design. BLIP3-o family released for multimodal tasks using diffusion transformers. Salesforce launched xGen-Small models excelling in long-context and math benchmarks. Bilibili released AniSORA for anime video generation. Stability AI open-sourced Stable Audio Open Small optimized for Arm devices. Google’s AlphaEvolve coding agent improved Strassen's algorithm for the first time since 1969. Research shows chain-of-thought reasoning can harm instruction-following ability, with mitigation strategies like classifier-selective reasoning being most effective, but reasoning techniques show high variance and limited generalization. "Chain-of-thought (CoT) reasoning can harm a model’s ability to follow instructions" and "Mitigation strategies such as few-shot in-context learning, self-reflection, self-selective reasoning, and classifier-selective reasoning can counteract reasoning-induced failures".
ChatGPT Codex, OpenAI's first cloud SWE agent
codex-1 openai-o3 codex-mini gemma-3 blip3-o qwen-2.5 marigold-iid deepseek-v3 lightlab gemini-2.0 lumina-next openai runway salesforce qwen deepseek google google-deepmind j1 software-engineering parallel-processing multimodality diffusion-models depth-estimation scaling-laws reinforcement-learning fine-tuning model-performance multi-turn-conversation reasoning audio-processing sama kevinweil omarsar0 iscienceluvr akhaliq osanseviero c_valenzuelab mervenoyann arankomatsuzaki jasonwei demishassabis philschmid swyx teortaxestex jaseweston
OpenAI launched Codex, a cloud-based software engineering agent powered by codex-1 (an optimized version of OpenAI o3) available in research preview for Pro, Enterprise, and Team ChatGPT users, featuring parallel task execution like refactoring and bug fixing. The Codex CLI was enhanced with quick sign-in and a new low-latency model, codex-mini. Gemma 3 is highlighted as the best open model runnable on a single GPU. Runway released the Gen-4 References API for style transfer in generation. Salesforce introduced BLIP3-o, a unified multimodal model family using diffusion transformers for CLIP image features. The Qwen 2.5 models (1.5B and 3B versions) were integrated into the PocketPal app with various chat templates. Marigold IID, a new state-of-the-art open-source depth estimation model, was released.
In research, DeepSeek shared insights on scaling and hardware for DeepSeek-V3. Google unveiled LightLab, a diffusion-based light source control in images. Google DeepMind's AlphaEvolve uses Gemini 2.0 to discover new math and reduce costs without reinforcement learning. Omni-R1 studied audio's role in fine-tuning audio LLMs. Qwen proposed a parallel scaling law inspired by classifier-free guidance. Salesforce released Lumina-Next on the Qwen base, outperforming Janus-Pro. A study found LLM performance degrades in multi-turn conversations due to unreliability. J1 is incentivizing LLM-as-a-Judge thinking via reinforcement learning. A new Qwen study correlates question and strategy similarity to predict reasoning strategies.
Prime Intellect's INTELLECT-2 and PRIME-RL advance distributed reinforcement learning
intellect-2 dreamo qwen gemini-2.5-pro dynamic-byte-latent-transformer gen-4-references mistral-medium-3 le-chat-enterprise primeintellect bytedance qwen gemma meta-ai-fair runwayml mistral-ai google distributed-training reinforcement-learning gpu-clusters model-optimization quantization multimodality agentic-ai video-understanding fine-tuning _akhaliq reach_vb osanseviero aiatmeta c_valenzuelab lmarena_ai adcock_brett
Prime Intellect released INTELLECT-2, a decentralized GPU training and RL framework with a vision for distributed AI training overcoming colocation limits. ByteDance launched DreamO, a unified image customization model on Hugging Face. Qwen released models optimized for GPTQ, GGUF, and AWQ quantization. Gemma surpassed 150 million downloads on Hugging Face. Meta released weights for the Dynamic Byte Latent Transformer and the Collaborative Reasoner framework to improve language model efficiency and reasoning. RunwayML introduced Gen-4 References, a near-realtime model requiring no fine-tuning. Mistral AI released Mistral Medium 3, a strong multimodal model, and Le Chat Enterprise, an agentic AI assistant for business. Google updated Gemini 2.5 Pro Preview with video understanding and UI improvements. "Airbnb for spare GPUs from all over the world" highlights the ongoing challenges and potential of distributed GPU training.
not much happened today
open-code-reasoning-32b open-code-reasoning-14b open-code-reasoning-7b mistral-medium-3 llama-4-maverick gemini-2.5-pro gemini-2.5-flash claude-3.7-sonnet absolute-zero-reasoner x-reasoner fastvlm parakeet-asr openai nvidia mistral-ai google apple huggingface reinforcement-learning fine-tuning code-generation reasoning vision on-device-ai model-performance dataset-release model-optimization reach_vb artificialanlys scaling01 iscienceluvr arankomatsuzaki awnihannun risingsayak
OpenAI launched both Reinforcement Finetuning and Deep Research on GitHub repos, drawing comparisons to Cognition's DeepWiki. Nvidia open-sourced Open Code Reasoning models (32B, 14B, 7B) with Apache 2.0 license, showing 30% better token efficiency and compatibility with llama.cpp, vLLM, transformers, and TGI. Independent evaluations highlight Mistral Medium 3 rivaling Llama 4 Maverick, Gemini 2.0 Flash, and Claude 3.7 Sonnet in coding and math reasoning, priced significantly lower but no longer open-source. Google's Gemini 2.5 Pro is noted as their most intelligent model with improved coding from simple prompts, while Gemini 2.5 Flash incurs a 150x cost increase over Gemini 2.0 Flash due to higher token usage and cost. The Absolute Zero Reasoner (AZR) achieves SOTA performance in coding and math reasoning via reinforced self-play without external data. Vision-language model X-REASONER is post-trained on general-domain text for reasoning. Apple ML research released FastVLM with on-device iPhone demo. HiDream LoRA trainer supports QLoRA fine-tuning under memory constraints. Nvidia's Parakeet ASR model tops Hugging Face ASR leaderboard with MLX implementation. New datasets SwallowCode and SwallowMath boost LLM performance in math and code. Overall, a quiet day with significant model releases and performance insights.
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qwen3-14b qwen3-32b qwen3-235b phi-4-reasoning o3-mini command-a gemini-2.5-pro o4-mini olm-o2-1b o3 alibaba together-ai scaling01 microsoft deepseek cohere google epoch-ai-research inception-labs openai allenai quantization fine-tuning reinforcement-learning benchmarking video-generation diffusion-models model-performance model-evaluation model-release text-generation cline _philschmid iscienceluvr alexalbert__ _lewtun teortaxestex sarahookr reach_vb
Qwen model family released quantized versions of Qwen3 models including 14B, 32B, and 235B parameters, with promising coding capabilities in Qwen3-235B. Microsoft launched Phi-4-reasoning, a 14B parameter model distilled from OpenAI's o3-mini, emphasizing supervised fine-tuning and reinforcement learning, outperforming larger models in some benchmarks. Cohere's Command A leads SQL performance on Bird Bench. Google introduced the TRAJAN eval for video generation temporal consistency and updated the Gemini OpenAI compatibility layer. Inception Labs launched a diffusion LLM API claiming 5x speed improvements over autoregressive models. Community rankings show OpenAI's o3 model debuting strongly in web app-building tasks. Other releases include AllenAI's OLMo2 1B and additional Phi 4 variants. "Qwen3-235B shows promise for coding" and "Phi-4-reasoning tech report emphasizes SFT gains" highlight key advancements.
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gpt-image-1 o3 o4-mini gpt-4.1 dam openai google anthropic epoch ai research image-generation model-benchmarks vision-language-models music-ai ai-experiences ai-research supercomputers
AI news for April 23-24, 2025, covering new model releases, benchmarks, and research developments from companies like openai, google deepmind, anthropic, and epoch ai research.
not much happened today; New email provider for AINews
gpt-4.1 gpt-4o gpt-4o-mini gemini-2.5-flash seaweed-7b claude embed-4 grok smol-ai resend openai google bytedance anthropic cohere x-ai email-deliverability model-releases reasoning video-generation multimodality embedding-models agentic-workflows document-processing function-calling tool-use ai-coding adcock_brett swyx jerryjliu0 alexalbert omarsar0
Smol AI is migrating its AI news email service to Resend to improve deliverability and enable new features like personalizable AI news and a "Hacker News of AI." Recent AI model updates include OpenAI's API-only GPT-4.1, Google Gemini 2.5 Flash reasoning model, ByteDance Seaweed 7B-param video AI, Anthropic Claude's values system, Cohere Embed 4 multimodal embedding model, and xAI Grok updates with Memory and Studio features. Discussions also cover agentic workflows for document automation and AI coding patterns.
Gemini 2.5 Flash completes the total domination of the Pareto Frontier
gemini-2.5-flash o3 o4-mini google openai anthropic tool-use multimodality benchmarking reasoning reinforcement-learning open-source model-releases chain-of-thought coding-agent sama kevinweil markchen90 alexandr_wang polynoamial scaling01 aidan_mclau cwolferesearch
Gemini 2.5 Flash is introduced with a new "thinking budget" feature offering more control compared to Anthropic and OpenAI models, marking a significant update in the Gemini series. OpenAI launched o3 and o4-mini models, emphasizing advanced tool use capabilities and multimodal understanding, with o3 dominating several leaderboards but receiving mixed benchmark reviews. The importance of tool use in AI research and development is highlighted, with OpenAI Codex CLI announced as a lightweight open-source coding agent. The news reflects ongoing trends in AI model releases, benchmarking, and tool integration.
SOTA Video Gen: Veo 2 and Kling 2 are GA for developers
veo-2 gemini gpt-4.1 gpt-4o gpt-4.5-preview gpt-4.1-mini gpt-4.1-nano google openai video-generation api coding instruction-following context-window performance benchmarks model-deprecation kevinweil stevenheidel aidan_clark_
Google's Veo 2 video generation model is now available in the Gemini API with a cost of 35 cents per second of generated video, marking a significant step in accessible video generation. Meanwhile, China's Kling 2 model launched with pricing around $2 for a 10-second clip and a minimum subscription of $700 per month for 3 months, generating excitement despite some skill challenges. OpenAI announced the GPT-4.1 family release, including GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano, highlighting improvements in coding, instruction following, and a 1 million token context window. The GPT-4.1 models are 26% cheaper than GPT-4o and will replace the GPT-4.5 Preview API version by July 14. Performance benchmarks show GPT-4.1 achieving 54-55% on SWE-bench verified and a 60% improvement over GPT-4o in some internal tests, though some critiques note it underperforms compared to other models like OpenRouter and DeepSeekV3 in coding tasks. The release is API-only, with a prompting guide provided for developers.
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gpt-4.1 o3 o4-mini grok-3 grok-3-mini o1 tpuv7 gb200 openai x-ai google nvidia samsung memory model-release hardware-accelerators fp8 hbm inference ai-conferences agent-collaboration robotics model-comparison performance power-consumption sama
OpenAI teased a Memory update in ChatGPT with limited technical details. Evidence suggests upcoming releases of o3 and o4-mini models, alongside a press leak about GPT-4.1. X.ai launched the Grok 3 and Grok 3 mini APIs, confirmed as o1 level models. Discussions compared Google's TPUv7 with Nvidia's GB200, highlighting TPUv7's specs like 4,614 TFLOP/s FP8 performance, 192 GB HBM, and 1.2 Tbps ICI bandwidth. TPUv7 may have pivoted from training to inference chip use. Key AI events include Google Cloud Next 2025 and Samsung's Gemini-powered Ballie robot. The community is invited to participate in the AI Engineer World's Fair 2025 and the 2025 State of AI Engineering survey.
Google's Agent2Agent Protocol (A2A)
kimi-vl-a3b gpt-4o llama-4-scout llama-4-maverick llama-4-behemoth deepcoder-14b o3-mini o1 llama-3.1-nemotron-ultra-253b deepseek-r1 google google-deepmind moonshot-ai meta-ai-fair uc-berkeley openai nvidia hugging-face togethercompute deepseek agent-interoperability multimodality vision math reinforcement-learning coding model-training open-source model-benchmarking context-windows streaming push-notifications enterprise-authentication model-release reach_vb _akhaliq epochairesearch artificialanlys winglian danielhanchen yuchenj_uw jeremyphoward
Google Cloud Next announcements featured the launch of Google and DeepMind's full MCP support and a new Agent to Agent protocol designed for agent interoperability with multiple partners. The protocol includes components like the Agent Card, Task communication channels, Enterprise Auth and Observability, and Streaming and Push Notification support. On the model front, Moonshot AI released Kimi-VL-A3B, a multimodal model with 128K context and strong vision and math benchmark performance, outperforming gpt-4o. Meta AI introduced smaller versions of llama-4 family models: llama-4-scout and llama-4-maverick, with a larger Behemoth model still in training. DeepCoder 14B from UC Berkeley is an open-source coding model rivaling openai's o3-mini and o1 models, trained with reinforcement learning on 24K coding problems. Nvidia released llama-3.1-nemotron-ultra-253b on Hugging Face, noted for beating llama-4-behemoth and maverick and competing with deepseek-r1.
not much happened today
o3 o4-mini gpt-5 sonnet-3.7 gemma-3 qwen-2.5-vl gemini-2.5-pro gemma-7b llama-3-1-405b openai deepseek anthropic google meta-ai-fair inference-scaling reward-modeling coding-models ocr model-preview rate-limiting model-pricing architectural-advantage benchmarking long-form-reasoning attention-mechanisms mixture-of-experts gpu-throughput sama akhaliq nearcyan fchollet reach_vb philschmid teortaxestex epochairesearch omarsar0
OpenAI announced that o3 and o4-mini models will be released soon, with GPT-5 expected in a few months, delayed for quality improvements and capacity planning. DeepSeek introduced Self-Principled Critique Tuning (SPCT) to enhance inference-time scalability for generalist reward models. Anthropic's Sonnet 3.7 remains a top coding model. Google's Gemma 3 is available on KerasHub, and Qwen 2.5 VL powers a new Apache 2.0 licensed OCR model. Gemini 2.5 Pro entered public preview with increased rate limits and pricing announced, becoming a preferred model for many tasks except image generation. Meta's architectural advantage and the FrontierMath benchmark challenge AI's long-form reasoning and worldview development. Research reveals LLMs focus attention on the first token as an "attention sink," preserving representation diversity, demonstrated in Gemma 7B and LLaMa 3.1 models. MegaScale-Infer offers efficient serving of large-scale Mixture-of-Experts models with up to 1.90x higher per-GPU throughput.
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gemini-2.5-pro chatgpt deepseek-v3 qwen-2.5 claude-3.5-sonnet claude-3.7-sonnet google anthropic openai llama_index langchain runway deepseek math benchmarking chains-of-thought model-performance multi-agent-systems agent-frameworks media-generation long-horizon-planning code-generation rasbt danielhanchen hkproj
Gemini 2.5 Pro shows strengths and weaknesses, notably lacking LaTex math rendering unlike ChatGPT, and scored 24.4% on the 2025 US AMO. DeepSeek V3 ranks 8th and 12th on recent leaderboards. Qwen 2.5 models have been integrated into the PocketPal app. Research from Anthropic reveals that Chains-of-Thought (CoT) reasoning is often unfaithful, especially on harder tasks, raising safety concerns. OpenAI's PaperBench benchmark shows AI agents struggle with long-horizon planning, with Claude 3.5 Sonnet achieving only 21.0% accuracy. CodeAct framework generalizes ReAct for dynamic code writing by agents. LangChain explains multi-agent handoffs in LangGraph. Runway Gen-4 marks a new phase in media creation.
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gemini-2.0-flash imagen-3 mistral-small-3.1 mistral-3 gpt-4o-mini claude-3.5-haiku olm0-32b qwen-2.5 shieldgemma-2 julian fasttransform nvidia google mistral-ai allen-ai anthropic langchainai perplexity-ai kalshi stripe qodoai multimodality image-generation context-windows model-pricing open-source-models image-classification frameworks python-libraries partnerships jeremyphoward karpathy abacaj mervenoyann
At Nvidia GTC Day 1, several AI updates were highlighted: Google's Gemini 2.0 Flash introduces image input/output but is not recommended for text-to-image tasks, with Imagen 3 preferred for that. Mistral AI released Mistral Small 3.1 with 128k token context window and competitive pricing. Allen AI launched OLMo-32B, an open LLM outperforming GPT-4o mini and Qwen 2.5. ShieldGemma 2 was introduced for image safety classification. LangChainAI announced multiple updates including Julian powered by LangGraph and integration with AnthropicAI's MCP. Jeremy Howard released fasttransform, a Python library for data transformations. Perplexity AI partnered with Kalshi for NCAA March Madness predictions.
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aya-vision-8b aya-vision-32b llama-3-2-90b-vision molmo-72b phi-4-mini phi-4-multimodal cogview4 wan-2-1 weights-and-biases coreweave cohereforai microsoft alibaba google llamaindex weaviate multilinguality vision multimodality image-generation video-generation model-releases benchmarking funding agentic-ai model-performance mervenoyann reach_vb jayalammar sarahookr aidangomez nickfrosst dair_ai akhaliq bobvanluijt jerryjliu0
Weights and Biases announced a $1.7 billion acquisition by CoreWeave ahead of CoreWeave's IPO. CohereForAI released the Aya Vision models (8B and 32B parameters) supporting 23 languages, outperforming larger models like Llama-3.2 90B Vision and Molmo 72B. Microsoft introduced Phi-4-Mini (3.8B parameters) and Phi-4-Multimodal models, excelling in math, coding, and multimodal benchmarks. CogView4, a 6B parameter text-to-image model with 2048x2048 resolution and Apache 2.0 license, was released. Alibaba launched Wan 2.1, an open-source video generation model with 720p output and 16 fps generation. Google announced new AI features for Pixel devices including Scam Detection and Gemini integrations. LlamaCloud reached General Availability and raised $19M Series A funding, serving over 100 Fortune 500 companies. Weaviate launched the Query Agent, the first of three Weaviate Agents.
not much happened today
gemini-2.0-flash-thinking-experimental-1-21 zonos openr1-math-220k huginn-3.5b deepseek-r1 o1 claude google zyphraai hugging-face anthropic deepseek openai vision multilingual-models text-to-speech voice-cloning math reasoning latent-reasoning chain-of-thought dataset-release fine-tuning model-training model-performance context-windows benchmarking jeremyphoward andrej-karpathy tom-goldstein reach_vb iscienceluvr
Google released Gemini 2.0 Flash Thinking Experimental 1-21, a vision-language reasoning model with a 1 million-token context window and improved accuracy on science, math, and multimedia benchmarks, surpassing DeepSeek-R1 but trailing OpenAI's o1. ZyphraAI launched Zonos, a multilingual Text-to-Speech model with instant voice cloning and controls for speaking rate, pitch, and emotions, running at ~2x real-time speed on RTX 4090. Hugging Face released OpenR1-Math-220k, a large-scale math reasoning dataset with 220K problems and 800K reasoning traces generated on 512 H100 GPUs. Tom Goldstein introduced Huginn-3.5B, an open-source latent reasoning model trained on 800B tokens that outperforms larger models on reasoning tasks like GSM8K. Discussions by Jeremy Howard and iScienceLuvr highlight advances in implicit latent reasoning and debate the future of human-readable reasoning traces. Anthropic launched the Anthropic Economic Index to analyze AI's economic impact using millions of Claude conversations.
Bespoke-Stratos + Sky-T1: The Vicuna+Alpaca moment for reasoning
sky-t1-32b-preview qwen-2.5-32b r1 o1-preview gpt-4o claude-3-sonnet bespoke-stratos-32b gemini-2.0-flash-thinking berkeley usc deepseek bespoke-labs google llmsys stanford lm-sys reasoning supervised-finetuning reinforcement-learning multimodality model-distillation context-windows code-execution model-repeatability behavioral-self-awareness rlhf teortaxestex cwolferesearch madiator chakraai philschmid abacaj omarsar0
Reasoning Distillation has emerged as a key technique, with Berkeley/USC researchers releasing Sky-T1-32B-Preview, a finetuned model of Qwen 2.5 32B using 17k reasoning traces for just $450, matching benchmarks of o1-preview. DeepSeek introduced R1, a model surpassing o1-preview and enabling distillation to smaller models like a 1.5B Qwen to match gpt-4o and claude-3-sonnet levels. Bespoke Labs further distilled R1 on Qwen, outperforming o1-preview with fewer samples. This progress suggests that "SFT is all you need" for reasoning without major architecture changes. Additionally, DeepSeek-R1 uses pure reinforcement learning with supervised finetuning to accelerate convergence and shows strong reasoning and multimodal capabilities. Google's Gemini 2.0 Flash Thinking model boasts a 1 million token context window, code execution, and excels in math, science, and multimodal reasoning. Critiques highlight challenges in model repeatability, behavioral self-awareness, and RLHF limitations in reasoning robustness.
Titans: Learning to Memorize at Test Time
minimax-01 gpt-4o claude-3.5-sonnet internlm3-8b-instruct transformer2 google meta-ai-fair openai anthropic langchain long-context mixture-of-experts self-adaptive-models prompt-injection agent-authentication diffusion-models zero-trust-architecture continuous-adaptation vision agentic-systems omarsar0 hwchase17 abacaj hardmaru rez0__ bindureddy akhaliq saranormous
Google released a new paper on "Neural Memory" integrating persistent memory directly into transformer architectures at test time, showing promising long-context utilization. MiniMax-01 by @omarsar0 features a 4 million token context window with 456B parameters and 32 experts, outperforming GPT-4o and Claude-3.5-Sonnet. InternLM3-8B-Instruct is an open-source model trained on 4 trillion tokens with state-of-the-art results. Transformer² introduces self-adaptive LLMs that dynamically adjust weights for continuous adaptation. Advances in AI security highlight the need for agent authentication, prompt injection defenses, and zero-trust architectures. Tools like Micro Diffusion enable budget-friendly diffusion model training, while LeagueGraph and Agent Recipes support open-source social media agents.
not much happened today
deepseek-v3 chatgpt-4 openai deepseek google qwen overfitting reasoning misguided-attention model-evaluation model-architecture finetuning open-source sam-altman
Sam Altman publicly criticizes DeepSeek and Qwen models, sparking debate about OpenAI's innovation claims and reliance on foundational research like the Transformer architecture. Deepseek V3 shows significant overfitting issues in the Misguided Attention evaluation, solving only 22% of test prompts, raising concerns about its reasoning and finetuning. Despite skepticism about its open-source status, Deepseek V3 is claimed to surpass ChatGPT4 as an open-source model, marking a milestone 1.75 years after ChatGPT4's release on March 14, 2023. The discussions highlight competitive dynamics in AI model performance and innovation sustainability.
Genesis: Generative Physics Engine for Robotics (o1-2024-12-17)
o1 gemini-2.0-pro openai google carnegie-mellon-university universal-physics-engine robotics-simulation physics-simulation photo-realistic-rendering generative-data simulation-platform open-source function-calling vision performance-benchmarks sdk realtime-api zhou-xian aidan_mclau sundar-pichai
Genesis is a newly announced universal physics engine developed by a large-scale collaboration led by CMU PhD student Zhou Xian. It integrates multiple state-of-the-art physics solvers to simulate diverse materials and physical phenomena, targeting robotics applications with features like lightweight, ultra-fast simulation, photo-realistic rendering, and generative data capabilities. The engine is open source and designed for robotics simulation beyond just video generation. Additionally, OpenAI released the o1 model to API with advanced features like function calling and vision support, showing strong math and coding performance. Google teased updates on Gemini 2.0 Pro, accelerating deployment for advanced users.
o1 API, 4o/4o-mini in Realtime API + WebRTC, DPO Finetuning
o1-2024-12-17 o1 o1-pro 4o 4o-mini gemini-2-0-flash claude-3.5-sonnet claude-3.5 openai google google-deepmind function-calling structured-outputs vision reasoning webrtc realtime-api preference-tuning fine-tuning api model-performance aidan_mclau kevinweil simonw michpokrass morgymcg juberti
OpenAI launched the o1 API with enhanced features including vision inputs, function calling, structured outputs, and a new
reasoning_effort parameter, achieving 60% fewer reasoning tokens on average. The o1 pro variant is confirmed as a distinct implementation coming soon. Improvements to the Realtime API with WebRTC integration offer easier usage, longer sessions (up to 30 minutes), and significantly reduced pricing (up to 10x cheaper with mini models). DPO Preference Tuning for fine-tuning is introduced, currently available for the 4o model. Additional updates include official Go and Java SDKs and OpenAI DevDay videos. The news also highlights discussions on Google Gemini 2.0 Flash model's performance reaching 83.6% accuracy. OpenAI Sora Turbo and Sora.com
sora-turbo o1 claude-3.5-sonnet claude-3.5 gemini llama-3-3-euryale-v2.3 mistral-large behemoth endurance-v1.1 openai google nvidia hugging-face mistral-ai text-to-video-generation quantum-computing coding-capabilities transformers algorithmic-innovation storytelling roleplay model-parameter-tuning anti-monopoly-investigation sama sundarpichai bindureddy denny_zhou nrehiew_
OpenAI launched Sora Turbo, enabling text-to-video generation for ChatGPT Plus and Pro users with monthly generation limits and regional restrictions in Europe and the UK. Google announced a quantum computing breakthrough with the development of the Willow chip, potentially enabling commercial quantum applications. Discussions on O1 model performance highlighted its lag behind Claude 3.5 Sonnet and Gemini in coding tasks, with calls for algorithmic innovation beyond transformer scaling. The Llama 3.3 Euryale v2.3 model was praised for storytelling and roleplay capabilities, with users suggesting parameter tuning to reduce creative liberties and repetition. Alternatives like Mistral-Large, Behemoth, and Endurance v1.1 were also noted. Additionally, Nvidia faces an anti-monopoly investigation in China. Memes and humor around GPU issues and embargo mishaps were popular on social media.
$200 ChatGPT Pro and o1-full/pro, with vision, without API, and mixed reviews
o1 o1-pro claude-3.5-sonnet pali-gemma-2 openai google llamaindex multimodality vision fine-tuning benchmarking model-performance image-generation document-processing model-release sama bindureddy mervenoyann fchollet
OpenAI launched the o1 model with multimodal capabilities, faster reasoning, and image input support, marking it as a state-of-the-art model despite some bugs and mixed community reviews. The new o1-pro tier offers unlimited access for $200/month with notable benchmark improvements but some performance trade-offs compared to claude-3.5-sonnet. Google released the PaliGemma 2 vision-language model family in sizes 3B, 10B, and 28B, excelling in visual question answering, image segmentation, and OCR, with day-0 support for fine-tuning. LlamaIndex announced discounts and feature updates for large-scale document processing. The AI community also reacted humorously to the new pricing tiers and model comparisons. "o1 can see now, which makes it the SOTA multimodal model" and "most users will be best served by free/Plus tiers" were notable sentiments.
not much happened today
ic-light-v2 claude-3-5-sonnet puzzle nvidia amazon anthropic google pydantic supabase browser-company world-labs cognition distillation neural-architecture-search inference-optimization video trajectory-attention timestep-embedding ai-safety-research fellowship-programs api domain-names reverse-thinking reasoning agent-frameworks image-to-3d ai-integration akhaliq adcock_brett omarsar0 iscienceluvr
AI News for 11/29/2024-12/2/2024 highlights several developments: Nvidia introduced Puzzle, a distillation-based neural architecture search for inference-optimized large language models, enhancing efficiency. The IC-Light V2 model was released for varied illumination scenarios, and new video model techniques like Trajectory Attention and Timestep Embedding were presented. Amazon increased its investment in Anthropic to $8 billion, supporting AI safety research through a new fellowship program. Google is expanding AI integration with the Gemini API and open collaboration tools. Discussions on domain name relevance emphasize alternatives to .com domains like .io, .ai, and .co. Advances in reasoning include a 13.53% improvement in LLM performance using "Reverse Thinking". Pydantic launched a new agent framework, and Supabase released version 2 of their assistant. Other notable mentions include Browser Company teasing a second browser and World Labs launching image-to-3D-world technology. The NotebookLM team departed from Google, and Cognition was featured on the cover of Forbes. The news was summarized by Claude 3.5 Sonnet.
Perplexity starts Shopping for you
pixtral-large-124b llama-3.1-405b claude-3.6 claude-3.5 stripe perplexity-ai mistral-ai hugging-face cerebras anthropic weights-biases google vllm-project multi-modal image-generation inference context-windows model-performance model-efficiency sdk ai-integration one-click-checkout memory-optimization patrick-collison jeff-weinstein mervenoyann sophiamyang tim-dettmers omarsar0 akhaliq aravsrinivas
Stripe launched their Agent SDK, enabling AI-native shopping experiences like Perplexity Shopping for US Pro members, featuring one-click checkout and free shipping via the Perplexity Merchant Program. Mistral AI released the Pixtral Large 124B multi-modal image model, now on Hugging Face and supported by Le Chat for image generation. Cerebras Systems offers a public inference endpoint for Llama 3.1 405B with a 128k context window and high throughput. Claude 3.6 shows improvements over Claude 3.5 but with subtle hallucinations. The Bi-Mamba 1-bit architecture improves LLM efficiency. The wandb SDK is preinstalled on Google Colab, and Pixtral Large is integrated into AnyChat and supported by vLLM for efficient model usage.
not much happened today
smollm2 llama-3-2 stable-diffusion-3.5 claude-3.5-sonnet gemini openai anthropic google meta-ai-fair suno-ai perplexity-ai on-device-ai model-performance robotics multimodality ai-regulation model-releases natural-language-processing prompt-engineering agentic-ai ai-application model-optimization sam-altman akhaliq arav-srinivas labenz loubnabenallal1 alexalbert fchollet stasbekman svpino rohanpaul_ai hamelhusain
ChatGPT Search was launched by Sam Altman, who called it his favorite feature since ChatGPT's original launch, doubling his usage. Comparisons were made between ChatGPT Search and Perplexity with improvements noted in Perplexity's web navigation. Google introduced a "Grounding" feature in the Gemini API & AI Studio enabling Gemini models to access real-time web information. Despite Gemini's leaderboard performance, developer adoption lags behind OpenAI and Anthropic. SmolLM2, a new small, powerful on-device language model, outperforms Meta's Llama 3.2 1B. A Claude desktop app was released for Mac and Windows. Meta AI announced robotics advancements including Meta Sparsh, Meta Digit 360, and Meta Digit Plexus. Stable Diffusion 3.5 Medium, a 2B parameter model with a permissive license, was released. Insights on AGI development suggest initial inferiority but rapid improvement. Anthropic advocates for early targeted AI regulation. Discussions on ML specialization predict training will concentrate among few companies, while inference becomes commoditized. New AI tools include Suno AI Personas for music creation, PromptQL for natural language querying over data, and Agent S for desktop task automation. Humor was shared about Python environment upgrades.
The AI Search Wars Have Begun — SearchGPT, Gemini Grounding, and more
gpt-4o o1-preview claude-3.5-sonnet universal-2 openai google gemini nyt perplexity-ai glean nvidia langchain langgraph weights-biases cohere weaviate fine-tuning synthetic-data distillation hallucinations benchmarking speech-to-text robotics neural-networks ai-agents sam-altman alexalbert__ _jasonwei svpino drjimfan virattt
ChatGPT launched its search functionality across all platforms using a fine-tuned version of GPT-4o with synthetic data generation and distillation from o1-preview. This feature includes a Chrome extension promoted by Sam Altman but has issues with hallucinations. The launch coincides with Gemini introducing Search Grounding after delays. Notably, The New York Times is not a partner due to a lawsuit against OpenAI. The AI search competition intensifies with consumer and B2B players like Perplexity and Glean. Additionally, Claude 3.5 Sonnet achieved a new benchmark record on SWE-bench Verified, and a new hallucination evaluation benchmark, SimpleQA, was introduced. Other highlights include the Universal-2 speech-to-text model with 660M parameters and HOVER, a neural whole-body controller for humanoid robots trained in NVIDIA Isaac simulation. AI hedge fund teams using LangChain and LangGraph were also showcased. The news is sponsored by the RAG++ course featuring experts from Weights & Biases, Cohere, and Weaviate.
DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing
bitnet-b1.58 llama-3.1-nemotron-70b-instruct gpt-4o claude-3.5-sonnet uc-berkeley deepmind openai microsoft nvidia archetype-ai boston-dynamics toyota-research google adobe openai mistral tesla meta-ai-fair model-optimization on-device-ai fine-tuning large-corpus-processing gpu-acceleration frameworks model-benchmarking rohanpaul_ai adcock_brett david-patterson
UC Berkeley's EPIC lab introduces innovative LLM data operators with projects like LOTUS and DocETL, focusing on effective programming and computation over large data corpora. This approach contrasts GPU-rich big labs like Deepmind and OpenAI with GPU-poor compound AI systems. Microsoft open-sourced BitNet b1.58, a 1-bit ternary parameter LLM enabling 4-20x faster training and on-device inference at human reading speeds. Nvidia released Llama-3.1-Nemotron-70B-Instruct, a fine-tuned open-source model outperforming GPT-4o and Claude-3.5-sonnet. These developments highlight advances in model-optimization, on-device-ai, and fine-tuning.
not much happened today
aria o1-preview o1-mini gemini-1.5-pro gemini-1.5-flash gemini-1.5 claude-3.5-sonnet rhymes-ai openai anthropic google meta-ai-fair oxylabs multimodality mixture-of-experts long-context retrieval-augmented-generation benchmarking software-engineering llm-evaluation prompt-engineering web-scraping python production-applications mervenoyann osanseviero dbrxmosaicai ylecun ofirpress clefourrier omarsar0 rohanpaul_ai svpino finbarrtimbers _philschmid
Rhymes AI released Aria, a new 25.3B parameter multimodal MoE model supporting text, code, image, and video with a 64k token context window and Apache-2.0 license. OpenAI's o1-preview and o1-mini models show consistent improvement over Anthropic and Google Gemini 1.5 Pro/Flash on long context RAG benchmarks up to 128k tokens, while Google Gemini 1.5 models excel at extreme context lengths up to 2 million tokens. Meta AI expanded rollout to 21 countries with new language support but remains unavailable in the EU. The one-year anniversary of SWE-bench benchmark for software engineering tasks was celebrated, alongside the introduction of SWE-bench Multimodal. New AI tools include OxyCopilot by Oxylabs for web scraping, Taipy for Python-based production apps, and Latitude for prompt engineering. Industry insights highlight changing AI funding dynamics and OpenAI's strategic focus on consumer products like ChatGPT. "all recaps done by Claude 3.5 Sonnet, best of 4 runs."
not much happened today
o1-preview o1-mini qwen-2.5 gpt-4o deepseek-v2.5 gpt-4-turbo-2024-04-09 grin llama-3-1-405b veo kat openai qwen deepseek-ai microsoft kyutai-labs perplexity-ai together-ai meta-ai-fair google-deepmind hugging-face google anthropic benchmarking math coding instruction-following model-merging model-expressiveness moe voice voice-models generative-video competition open-source model-deployment ai-agents hyung-won-chung noam-brown bindureddy akhaliq karpathy aravsrinivas fchollet cwolferesearch philschmid labenz ylecun
OpenAI's o1-preview and o1-mini models lead benchmarks in Math, Hard Prompts, and Coding. Qwen 2.5 72B model shows strong performance close to GPT-4o. DeepSeek-V2.5 tops Chinese LLMs, rivaling GPT-4-Turbo-2024-04-09. Microsoft's GRIN MoE achieves good results with 6.6B active parameters. Moshi voice model from Kyutai Labs runs locally on Apple Silicon Macs. Perplexity app introduces voice mode with push-to-talk. LlamaCoder by Together.ai uses Llama 3.1 405B for app generation. Google DeepMind's Veo is a new generative video model for YouTube Shorts. The 2024 ARC-AGI competition increases prize money and plans a university tour. A survey on model merging covers 50+ papers for LLM alignment. The Kolmogorov–Arnold Transformer (KAT) paper proposes replacing MLP layers with KAN layers for better expressiveness. Hugging Face Hub integrates with Google Cloud Vertex AI Model Garden for easier open-source model deployment. Agent.ai is introduced as a professional network for AI agents. "Touching grass is all you need."
o1 destroys Lmsys Arena, Qwen 2.5, Kyutai Moshi release
o1-preview o1-mini qwen-2.5 qwen-plus llama-3-1 deepseek-v2.5 openai anthropic google alibaba deepseek kyutai weights-biases mistral-ai chain-of-thought multimodality model-benchmarking model-performance streaming-neural-architecture llm-observability experiment-tracking rate-limiting sama guillaumelample
OpenAI's o1-preview model has achieved a milestone by fully matching top daily AI news stories without human intervention, consistently outperforming other models like Anthropic, Google, and Llama 3 in vibe check evaluations. OpenAI models dominate the top 4 slots on LMsys benchmarks, with rate limits increasing to 500-1000 requests per minute. In open source, Alibaba's Qwen 2.5 suite surpasses Llama 3.1 at the 70B scale and updates its closed Qwen-Plus models to outperform DeepSeek V2.5 but still lag behind leading American models. Kyutai Moshi released its open weights realtime voice model featuring a unique streaming neural architecture with an "inner monologue." Weights & Biases introduced Weave, an LLM observability toolkit that enhances experiment tracking and evaluation, turning prompting into a more scientific process. The news also highlights upcoming events like the WandB LLM-as-judge hackathon in San Francisco. "o1-preview consistently beats out our vibe check evals" and "OpenAI models are gradually raising rate limits by the day."
not much happened today + AINews Podcast?
superforecaster-ai llama-3 reflection-70b glean sambanova cerebras stanford google apple hugging-face lmsys prompt-engineering research-ideas inference-speed retrieval-augmented-generation evaluation-methods visual-intelligence on-device-ai model-performance benchmarking novelty-detection danhendrycks benjamin-clavie bclavie bindureddy swyx borismpower corbtt drjimfan clementdelangue rohanpaul_ai
Glean doubled its valuation again. Dan Hendrycks' Superforecaster AI generates plausible election forecasts with interesting prompt engineering. A Stanford study found that LLM-generated research ideas are statistically more novel than those by expert humans. SambaNova announced faster inference for llama-3 models, surpassing Cerebras. Benjamin Clavie gave a notable talk on retrieval-augmented generation techniques. Strawberry is reported to launch in two weeks. Google Illuminate offers AI-generated podcast discussions about papers and books. Apple unveiled new AI features in iOS 18, including visual intelligence and improved Siri, with on-device and cloud processing for camera-based event additions. The Reflection 70B model sparked controversy over performance claims. Experts highlighted the unreliability of traditional benchmarks like MMLU and HumanEval, recommending alternative evaluation methods such as LMSys Chatbot Arena and Hugging Face's open-sourced Lighteval suite. The AI research community continues to explore AI's role in generating novel research ideas and improving benchmarking.
Everybody shipped small things this holiday weekend
gpt-4o-voice gemini claude jamba-1.5 mistral-nemo-minitron-8b xai google anthropic openai cognition ai21-labs nvidia langchain fine-tuning long-context parameter-efficient-fine-tuning latex-rendering real-time-audio virtual-try-on resource-tags low-code ai-agents workspace-organization model-benchmarking dario-amodei scott-wu fchollet svpino
xAI announced the Colossus 100k H100 cluster capable of training an FP8 GPT-4 class model in 4 days. Google introduced Structured Output for Gemini. Anthropic discussed Claude's performance issues possibly due to API prompt modifications. OpenAI enhanced controls for File Search in their Assistants API. Cognition and Anthropic leaders appeared on podcasts. The viral Kwai-Kolors virtual try-on model and the open-source real-time audio conversational model Mini-Omni (similar to gpt-4o-voice) were released. Tutorials on parameter-efficient fine-tuning with LoRA and QLoRA, long-context embedding challenges, and Claude's LaTeX rendering feature were highlighted. AI21 Labs released Jamba 1.5 models with a 256K context window and faster long-context performance. NVIDIA debuted Mistral-Nemo-Minitron-8B on the Open LLM Leaderboard. LangChain introduced resource tags for workspace organization, and a low-code AI app toolkit was shared by svpino. Legal AI agents and financial agent evaluations using LangSmith were also featured.
CogVideoX: Zhipu's Open Source Sora
cogvideox llama-3-1 llama-3-405b moondream phi-3.5 llama-rank zhipu-ai alibaba meta-ai-fair google hugging-face nvidia togethercompute salesforce video-generation serverless-computing vision document-vqa text-vqa mixture-of-experts retrieval-augmented-generation long-context model-routing webgpu background-removal long-form-generation superposition-prompting rohanpaul_ai philschmid vikhyatk algo_diver jayalammar davidsholz
Zhipu AI, Alibaba's AI arm and China's 3rd largest AI lab, released the open 5B video generation model CogVIdeoX, which can run without GPUs via their ChatGLM web and desktop apps. Meta AI announced trust & safety research and CyberSecEval 3 alongside the release of Llama 3.1, with Llama 3 405B now available serverless on Google Cloud Vertex AI and Hugging Face x NVIDIA NIM API. Updates include Moondream, an open vision-language model improving DocVQA and TextVQA tasks, and the lightweight MoE chat model Phi-3.5 with 16x3.8B parameters. Together Compute introduced the Rerank API featuring Salesforce's LlamaRank model for document and code ranking. Research highlights include superposition prompting for RAG without fine-tuning, the AgentWrite pipeline for long-form content generation over 20,000 words, and a comparison showing Long Context methods outperform RAG at higher costs. Tools include Not Diamond, an AI model router, AI command line interfaces, and an open-source WebGPU background removal tool. "You don't even need GPUs to run it," referring to CogVIdeoX.
The DSPy Roadmap
dspy litel-lm gemini chatgpt-4o grok-2 hermes-3 databricks mit google openai x-ai nous-research astribot apple sakana-ai model-optimization fine-tuning optimizers interactive-optimization robotics autonomous-systems voice image-generation open-source-models scientific-research streaming caching omar-khattab giffmana
Omar Khattab announced joining Databricks before his MIT professorship and outlined the roadmap for DSPy 2.5 and 3.0+, focusing on improving core components like LMs, signatures, optimizers, and assertions with features such as adopting LiteLLM to reduce code and enhance caching and streaming. The roadmap also includes developing more accurate, cost-effective optimizers, building tutorials, and enabling interactive optimization tracking. On AI Twitter, Google launched Gemini Live, a mobile conversational AI with voice and 10 voices, alongside Pixel Buds Pro 2 with a custom Tensor A1 chip. OpenAI updated ChatGPT-4o, reclaiming the top spot on LMSYS Arena. xAI released Grok-2 in beta, achieving SOTA in image generation with FLUX 1. Nous Research released open-source Hermes 3 models in 8B, 70B, and 405B sizes, with the 405B model achieving SOTA. Robotics updates include Astribot's humanoid robot and Apple's tabletop robot with Siri voice commands. Sakana AI introduced "The AI Scientist," an autonomous AI research system.
Gemini Live
gemini-1.5-pro genie falcon-mamba gemini-1.5 llamaindex google anthropic tii supabase perplexity-ai llamaindex openai hugging-face multimodality benchmarking long-context retrieval-augmented-generation open-source model-releases model-integration model-performance software-engineering linear-algebra hugging-face-hub debugging omarsar0 osanseviero dbrxmosaicai alphasignalai perplexity_ai _jasonwei svpino
Google launched Gemini Live on Android for Gemini Advanced subscribers during the Pixel 9 event, featuring integrations with Google Workspace apps and other Google services. The rollout began on 8/12/2024, with iOS support planned. Anthropic released Genie, an AI software engineering system achieving a 57% improvement on SWE-Bench. TII introduced Falcon Mamba, a 7B attention-free open-access model scalable to long sequences. Benchmarking showed that longer context lengths do not always improve Retrieval-Augmented Generation. Supabase launched an AI-powered Postgres service dubbed the "ChatGPT of databases," fully open source. Perplexity AI partnered with Polymarket to integrate real-time probability predictions into search results. A tutorial demonstrated a multimodal recipe recommender using Qdrant, LlamaIndex, and Gemini. An OpenAI engineer shared success tips emphasizing debugging and hard work. The connection between matrices and graphs in linear algebra was highlighted for insights into nonnegative matrices and strongly connected components. Keras 3.5.0 was released with Hugging Face Hub integration for model saving and loading.
not much happened today
qwen2-math-72b gpt-4o claude-3.5-sonnet gemini-1.5-pro llama-3.1-405b idefics3-llama-8b anthropic google mistral-ai llamaindex math fine-tuning synthetic-data reinforcement-learning bug-bounty visual-question-answering open-source retrieval-augmented-generation agentic-ai ai-safety policy rohanpaul_ai anthropicai mervenoyann jeremyphoward omarsar0 ylecun bindureddy
Qwen2-Math-72B outperforms GPT-4o, Claude-3.5-Sonnet, Gemini-1.5-Pro, and Llama-3.1-405B on math benchmarks using synthetic data and advanced optimization techniques. Google AI cuts pricing for Gemini 1.5 Flash by up to 78%. Anthropic expands its bug bounty program targeting universal jailbreaks in next-gen safety systems. Tutorial on QLoRA fine-tuning of IDEFICS3-Llama 8B for visual question answering released. A Chinese open weights model surpasses previous MATH benchmark records. Surveys on Mamba models and LLM-based agents for software engineering highlight advancements and applications. Open-source tools like R2R RAG engine and LlamaIndex Workflows simplify building complex AI applications. Mistral AI introduces customizable AI agents. Concerns raised about California bill SB 1047's focus on existential risk and debates on banning open-source AI. Memes and humor continue in AI communities.
GPT4o August + 100% Structured Outputs for All (GPT4o mini edition)
gpt-4o-mini gpt-4o-2024-08-06 llama-3 bigllama-3.1-1t-instruct meta-llama-3-120b-instruct gemma-2-2b stability-ai unsloth-ai google hugging-face lora controlnet line-art gpu-performance multi-gpu-support fine-tuning prompt-formatting cloud-computing text-to-image-generation model-integration
Stability.ai users are leveraging LoRA and ControlNet for enhanced line art and artistic style transformations, while facing challenges with AMD GPUs due to the discontinuation of ZLUDA. Community tensions persist around the r/stablediffusion subreddit moderation. Unsloth AI users report fine-tuning difficulties with LLaMA3 models, especially with PPO trainer integration and prompt formatting, alongside anticipation for multi-GPU support and cost-effective cloud computing on RunPod. Google released the lightweight Gemma 2 2B model optimized for on-device use with 2.6B parameters, featuring safety and sparse autoencoder tools, and announced Diffusers integration for efficient text-to-image generation on limited resources.
How Carlini Uses AI
gemma-2-2b gpt-3.5-turbo-0613 mixtral-8x7b gen-3-alpha segment-anything-model-2 stable-fast-3d groq intel deepmind box figure-ai openai google meta-ai-fair nvidia stability-ai runway benchmarking adversarial-attacks large-language-models text-generation multimodality robotics emotion-detection structured-data-extraction real-time-processing teleoperation 3d-generation text-to-video nicholas-carlini chris-dixon rasbt
Groq's shareholders' net worth rises while others fall, with Intel's CEO expressing concern. Nicholas Carlini of DeepMind gains recognition and criticism for his extensive AI writings, including an 80,000-word treatise on AI use and a benchmark for large language models. Chris Dixon comments on AI Winter skepticism, emphasizing long-term impact. Box introduces an AI API for extracting structured data from documents, highlighting potential and risks of LLM-driven solutions. Recent AI developments include Figure AI launching the advanced humanoid robot Figure 02, OpenAI rolling out Advanced Voice Mode for ChatGPT with emotion detection, Google open-sourcing Gemma 2 2B model matching GPT-3.5-Turbo-0613 performance, Meta AI Fair releasing Segment Anything Model 2 (SAM 2) for real-time object tracking, NVIDIA showcasing Project GR00T for humanoid teleoperation with Apple Vision Pro, Stability AI launching Stable Fast 3D for rapid 3D asset generation, and Runway unveiling Gen-3 Alpha for AI text-to-video generation.
Execuhires: Tempting The Wrath of Khan
gemini-1.5-pro gpt-4o claude-3.5 flux-1 llama-3-1-405b character.ai google adept amazon inflection microsoft stability-ai black-forest-labs schelling google-deepmind openai anthropic meta-ai-fair lmsys langchainai execuhire model-benchmarking multilinguality math coding text-to-image agent-ide open-source-models post-training data-driven-performance noam-shazeer mostafa-mostaque david-friedman rob-rombach alexandr-wang svpino rohanpaul_ai
Character.ai's $2.5b execuhire to Google marks a significant leadership move alongside Adept's $429m execuhire to Amazon and Inflection's $650m execuhire to Microsoft. Despite strong user growth and content momentum, Character.ai's CEO Noam Shazeer returns to Google, signaling shifting vibes in the AI industry. Google DeepMind's Gemini 1.5 Pro tops Chatbot Arena benchmarks, outperforming GPT-4o and Claude-3.5, excelling in multilingual, math, and coding tasks. The launch of Black Forest Labs' FLUX.1 text-to-image model and LangGraph Studio agent IDE highlight ongoing innovation. Llama 3.1 405B is released as the largest open-source model, fostering developer use and competition with closed models. The industry is focusing increasingly on post-training and data as key competitive factors, raising questions about acquisition practices and regulatory scrutiny.
FlashAttention 3, PaliGemma, OpenAI's 5 Levels to Superintelligence
flashattention-3 paligemma-3b gemma-2b numinamath-7b deepseekmath-7b codellama-34b wizardcoder-python-34b-v1.0 chatgpt-3.5 openai together-ai google hugging-face deepseek code-llama attention-mechanisms fp8-training vision prefix-lm superintelligence fine-tuning chain-of-thought tool-integrated-reasoning self-consistency-decoding python coding-capabilities elo-ratings ilya-sutskever lucas-giffman
FlashAttention-3 introduces fast and accurate attention optimized for H100 GPUs, advancing native FP8 training. PaliGemma, a versatile 3B Vision-Language Model (VLM) combining a SigLIP-So400m ViT encoder with the Gemma-2B language model, emphasizes a prefix-LM architecture for improved image-query interaction. OpenAI reveals a framework on levels of superintelligence, signaling progress toward Level 2 and highlighting internal safety disagreements. On Reddit, NuminaMath 7B, fine-tuned from DeepSeekMath-7B, wins the AI Math Olympiad by solving 29 problems using iterative supervised fine-tuning and tool-integrated reasoning. Open-source LLMs like CodeLlama-34b and WizardCoder-Python-34B-V1.0 are closing the coding performance gap with closed models such as ChatGPT-3.5.
Gemini Nano: 50-90% of Gemini Pro, <100ms inference, on device, in Chrome Canary
gemini-nano gemini-pro claude-3.5-sonnet gpt-4o deepseek-coder-v2 glm-0520 nemotron-4-340b gpt-4-turbo-0409 google gemini huggingface anthropic deepseek zhipu-ai tsinghua nvidia model-quantization prompt-api optimization model-weights benchmarking code-generation math synthetic-data automatic-differentiation retrieval-augmented-generation mitigating-memorization tree-search inference-time-algorithms adcock_brett dair_ai lmsysorg
The latest Chrome Canary now includes a feature flag for Gemini Nano, offering a prompt API and on-device optimization guide, with models Nano 1 and 2 at 1.8B and 3.25B parameters respectively, showing decent performance relative to Gemini Pro. The base and instruct-tuned model weights have been extracted and posted to HuggingFace. In AI model releases, Anthropic launched Claude 3.5 Sonnet, which outperforms GPT-4o on some benchmarks, is twice as fast as Opus, and is free to try. DeepSeek-Coder-V2 achieves 90.2% on HumanEval and 75.7% on MATH, surpassing GPT-4-Turbo-0409, with models up to 236B parameters and 128K context length. GLM-0520 from Zhipu AI/Tsinghua ranks highly in coding and overall benchmarks. NVIDIA announced Nemotron-4 340B, an open model family for synthetic data generation. Research highlights include TextGrad, a framework for automatic differentiation on textual feedback; PlanRAG, an iterative plan-then-RAG decision-making technique; a paper on goldfish loss to mitigate memorization in LLMs; and a tree search algorithm for language model agents.
Gemini launches context caching... or does it?
nemotron llama-3-70b chameleon-7b chameleon-34b gemini-1.5-pro deepseek-coder-v2 gpt-4-turbo claude-3-opus gemini-1.5-pro nvidia meta-ai-fair google deepseek hugging-face context-caching model-performance fine-tuning reinforcement-learning group-relative-policy-optimization large-context model-training coding model-release rohanpaul_ai _philschmid aman-sanger
Nvidia's Nemotron ranks #1 open model on LMsys and #11 overall, surpassing Llama-3-70b. Meta AI released Chameleon 7B/34B models after further post-training. Google's Gemini introduced context caching, offering a cost-efficient middle ground between RAG and finetuning, with a minimum input token count of 33k and no upper limit on cache duration. DeepSeek launched DeepSeek-Coder-V2, a 236B parameter model outperforming GPT-4 Turbo, Claude-3-Opus, and Gemini-1.5-Pro in coding tasks, supporting 338 programming languages and extending context length to 128K. It was trained on 6 trillion tokens using the Group Relative Policy Optimization (GRPO) algorithm and is available on Hugging Face with a commercial license. These developments highlight advances in model performance, context caching, and large-scale coding models.
Talaria: Apple's new MLOps Superweapon
gemma mixtral phi dbrx apple google mistral-ai microsoft mosaic quantization on-device-ai adapter-models model-optimization model-latency lossless-quantization low-bit-palletization token-generation model-benchmarking human-evaluation craig-federighi andrej-karpathy
Apple Intelligence introduces a small (~3B parameters) on-device model and a larger server model running on Apple Silicon with Private Cloud Compute, aiming to surpass Google Gemma, Mistral Mixtral, Microsoft Phi, and Mosaic DBRX. The on-device model features a novel lossless quantization strategy using mixed 2-bit and 4-bit LoRA adapters averaging 3.5 bits-per-weight, enabling dynamic adapter hot-swapping and efficient memory management. Apple credits the Talaria tool for optimizing quantization and model latency, achieving about 0.6 ms time-to-first-token latency and 30 tokens per second generation rate on iPhone 15 Pro. Apple focuses on an "adapter for everything" strategy with initial deployment on SiriKit and App Intents. Performance benchmarks rely on human graders, emphasizing consumer-level adequacy over academic dominance. The Apple ML blog also mentions an Xcode code-focused model and a diffusion model for Genmoji.
Ways to use Anthropic's Tool Use GA
claude-3-opus haiku opus convnext anthropic amazon google tool-use function-calling agentic-ai streaming vision parallelization delegation debate specialization open-science superintelligence convolutional-networks self-attention ai-research yann-lecun alex-albert sainingxie
Anthropic launched general availability of tool use/function calling with support for streaming, forced use, and vision, alongside Amazon and Google. Alex Albert shared five architectures for agentic tool use: delegation, parallelization, debate, specialization, and tool suite experts. Anthropic also introduced a self-guided course on tool use. Yann LeCun emphasized ethical open science funding, gradual emergence of superintelligence with safety guardrails, and convolutional networks for image/video processing as competitive with vision transformers. He also noted growth in AI researchers across industry, academia, and government.
Ten Commandments for Deploying Fine-Tuned Models
claude-3-opus claude-3 gpt-4o anthropic google openai fine-tuning prompt-engineering model-evaluation feature-alteration benchmarking model-performance open-source-models kyle-corbitt bindureddy alexalbert__
Gemini-in-Google-Slides is highlighted as a useful tool for summarizing presentations. Kyle Corbitt's talk on deploying fine-tuned models in production emphasizes avoiding fine-tuning unless necessary, focusing on prompting, data quality, appropriate model choice, and thorough evaluation. Anthropic showcased feature alteration in Claude AI, demonstrating control over model behavior and increased understanding of large language models. Open-source models like GPT-4o are approaching closed-source performance on benchmarks like MMLU for simple tasks, though advanced models remain necessary for complex automation.
Google I/O in 60 seconds
gemini-1.5-pro gemini-flash gemini-ultra gemini-pro gemini-nano gemma-2 llama-3-70b paligemma imagen-3 veo google google-deepmind youtube tokenization model-performance fine-tuning vision multimodality model-release model-training model-optimization ai-integration image-generation watermarking hardware-optimization voice video-understanding
Google announced updates to the Gemini model family, including Gemini 1.5 Pro with 2 million token support, and the new Gemini Flash model optimized for speed with 1 million token capacity. The Gemini suite now includes Ultra, Pro, Flash, and Nano models, with Gemini Nano integrated into Chrome 126. Additional Gemini features include Gemini Gems (custom GPTs), Gemini Live for voice conversations, and Project Astra, a live video understanding assistant. The Gemma model family was updated with Gemma 2 at 27B parameters, offering near-llama-3-70b performance at half the size, plus PaliGemma, a vision-language open model inspired by PaLI-3. Other launches include DeepMind's Veo, Imagen 3 for photorealistic image generation, and a Music AI Sandbox collaboration with YouTube. SynthID watermarking now extends to text, images, audio, and video. The Trillium TPUv6 codename was revealed. Google also integrated AI across its product suite including Workspace, Email, Docs, Sheets, Photos, Search, and Lens. "The world awaits Apple's answer."
Apple's OpenELM beats OLMo with 50% of its dataset, using DeLighT
openelm llama-3 llama-3-8b-instruct llama-3-70b apple meta-ai-fair google layer-wise-scaling context-length quantization ai-alignment open-source ai-regulation eric-schmidt sebastian-raschka
Apple advances its AI presence with the release of OpenELM, its first relatively open large language model available in sizes from 270M to 3B parameters, featuring a novel layer-wise scaling architecture inspired by the DeLight paper. Meanwhile, Meta's LLaMA 3 family pushes context length boundaries with models supporting over 160K tokens and an 8B-Instruct model with 262K context length released on Hugging Face, alongside performance improvements in quantized versions. A new paper on AI alignment highlights KTO as the best-performing method, with sensitivity to training data volume noted. In AI ethics and regulation, former Google CEO Eric Schmidt warns about the risks of open-source AI empowering bad actors and geopolitical rivals, while a U.S. proposal aims to enforce "Know Your Customer" rules to end anonymous cloud usage.
Mixtral 8x22B Instruct sparks efficiency memes
mixtral-8x22b llama-2-7b olmo-7b mistral-ai hugging-face google microsoft intel softbank nvidia multilinguality math code-generation context-window model-performance model-release retrieval-augmented-generation deepfake ai-investment ai-chip hybrid-architecture training-data guillaume-lample osanseviero _philschmid svpino
Mistral released an instruct-tuned version of their Mixtral 8x22B model, notable for using only 39B active parameters during inference, outperforming larger models and supporting 5 languages with 64k context window and math/code capabilities. The model is available on Hugging Face under an Apache 2.0 license for local use. Google plans to invest over $100 billion in AI, with other giants like Microsoft, Intel, and SoftBank also making large investments. The UK criminalized non-consensual deepfake porn, raising enforcement debates. A former Nvidia employee claims Nvidia's AI chip lead is unmatchable this decade. AI companions could become a $1 billion market. AI has surpassed humans on several basic tasks but lags on complex ones. Zyphra introduced Zamba, a novel 7B parameter hybrid model outperforming LLaMA-2 7B and OLMo-7B with less training data, trained on 128 H100 GPUs over 30 days. GroundX API advances retrieval-augmented generation accuracy.
Multi-modal, Multi-Aspect, Multi-Form-Factor AI
gpt-4 idefics-2-8b mistral-instruct apple-mlx gpt-5 reka-ai cohere google rewind apple mistral-ai microsoft paypal multimodality foundation-models embedding-models gpu-performance model-comparison enterprise-data open-source performance-optimization job-impact agi-criticism technical-report arthur-mensch dan-schulman chris-bishop
Between April 12-15, Reka Core launched a new GPT4-class multimodal foundation model with a detailed technical report described as "full Shazeer." Cohere Compass introduced a foundation embedding model for indexing and searching multi-aspect enterprise data like emails and invoices. The open-source IDEFICS 2-8B model continues Google's Flamingo multimodal model reproduction. Rewind pivoted to a multi-platform app called Limitless, moving away from spyware. Reddit discussions highlighted Apple MLX outperforming Ollama and Mistral Instruct on M2 Ultra GPUs, GPU choices for LLMs and Stable Diffusion, and AI-human comparisons by Microsoft Research's Chris Bishop. Former PayPal CEO Dan Schulman predicted GPT-5 will drastically reduce job scopes by 80%. Mistral CEO Arthur Mensch criticized the obsession with AGI as "creating God."
Mergestral, Meta MTIAv2, Cohere Rerank 3, Google Infini-Attention
mistral-8x22b command-r-plus rerank-3 infini-attention llama-3 sd-1.5 cosxl meta-ai-fair mistral-ai cohere google stability-ai hugging-face ollama model-merging training-accelerators retrieval-augmented-generation linear-attention long-context foundation-models image-generation rag-pipelines model-benchmarking context-length model-performance aidan_gomez ylecun swyx
Meta announced their new MTIAv2 chips designed for training and inference acceleration with improved architecture and integration with PyTorch 2.0. Mistral released the 8x22B Mixtral model, which was merged back into a dense model to effectively create a 22B Mistral model. Cohere launched Rerank 3, a foundation model enhancing enterprise search and retrieval-augmented generation (RAG) systems supporting 100+ languages. Google published a paper on Infini-attention, an ultra-scalable linear attention mechanism demonstrated on 1B and 8B models with 1 million sequence length. Additionally, Meta's Llama 3 is expected to start rolling out soon. Other notable updates include Command R+, an open model surpassing GPT-4 in chatbot performance with 128k context length, and advancements in Stable Diffusion models and RAG pipelines.
Music's Dall-E moment
griffin command-r-plus gpt-4-0613 gpt-4-0314 mistral-8x22b codegemma stable-diffusion-1.5 command-r gemini-1.5 google mistral-ai lmsys cohere model-architecture benchmarking open-source model-quantization memory-optimization inference-speed multimodality finetuning performance-optimization audio-processing andrej-karpathy
Google's Griffin architecture outperforms transformers with faster inference and lower memory usage on long contexts. Command R+ climbs to 6th place on the LMSYS Chatbot Arena leaderboard, surpassing GPT-4-0613 and GPT-4-0314. Mistral AI releases an open-source 8x22B model with a 64K context window and around 130B total parameters. Google open-sources CodeGemma models with pre-quantized 4-bit versions for faster downloads. Ella weights enhance Stable Diffusion 1.5 with LLM for semantic alignment. Unsloth enables 4x larger context windows and 80% memory reduction for finetuning. Andrej Karpathy releases LLMs implemented in pure C for potential performance gains. Command R+ runs in realtime on M2 Max MacBook using iMat q1 quantization. Cohere's Command R model offers low API costs and strong leaderboard performance. Gemini 1.5 impresses with audio capabilities recognizing speech tone and speaker identification from audio clips.
Gemini Pro and GPT4T Vision go GA on the same day by complete coincidence
gemini-1.5-pro gpt-4-turbo llama-3 orca-2.5-7b functionary-v2.4 cosxl google openai meta-ai-fair hugging-face cohere million-token-context-window audio-processing file-api text-embedding function-calling reasoning direct-nash-optimization contrastive-learning code-interpreter diffusion-models neural-odes inference-speed multilingual-dataset image-editing no-code-development
At Google Cloud Next, Gemini 1.5 Pro was released with a million-token context window, available in 180+ countries, featuring 9.5 hours of audio understanding, a new File API for nearly unlimited free uploads, and the Gecko-1b-256/768 embedding model. GPT-4 Turbo with Vision became generally available in the API with a major update improving reasoning capabilities. Meta Platforms plans to launch smaller versions of Llama 3 next week. The Orca 2.5 7B model using Direct Nash Optimization outperforms older GPT-4 versions in AlpacaEval. New releases include Functionary-V2.4 with enhanced function calling and code interpretation, and CosXL models for image editing. Research highlights include continuous U-Nets for diffusion models achieving up to 80% faster inference and a massive multilingual dataset with ~5.6 trillion word tokens. Creative applications include a no-code touch screen game made with Gemini 1.5 and AI-generated novel trailers.
Fixing Gemma
gemma claude-3-opus claude-3 mistral-large gpt-4 google unsloth anthropic mistral-ai finetuning numerical-precision benchmarking structured-data-extraction adaptive-equalizer information-theory hallucination-detection model-stability daniel-han yann-lecun francois-chollet arav-srinivas _aidan_clark_
Google's Gemma model was found unstable for finetuning until Daniel Han from Unsloth AI fixed 8 bugs, improving its implementation. Yann LeCun explained technical details of a pseudo-random bit sequence for adaptive equalizers, while François Chollet discussed the low information bandwidth of the human visual system. Arav Srinivas reported that Claude 3 Opus showed no hallucinations in extensive testing, outperforming GPT-4 and Mistral-Large in benchmarks. Reflections from Yann LeCun highlight ongoing AI progress toward human-level intelligence. The community is shifting pipelines to work better with Claude models, and emotional experiences in ML development were shared by Aidan Clark.
Not much happened today
claude-3 claude-3-opus claude-3-sonnet gpt-4 gemma-2b anthropic perplexity langchain llamaindex cohere accenture mistral-ai snowflake together-ai hugging-face european-space-agency google gpt4all multimodality instruction-following out-of-distribution-reasoning robustness enterprise-ai cloud-infrastructure open-datasets model-deployment model-discoverability generative-ai image-generation
Anthropic released Claude 3, replacing Claude 2.1 as the default on Perplexity AI, with Claude 3 Opus surpassing GPT-4 in capability. Debate continues on whether Claude 3's performance stems from emergent properties or pattern matching. LangChain and LlamaIndex added support for Claude 3 enabling multimodal and tool-augmented applications. Despite progress, current models still face challenges in out-of-distribution reasoning and robustness. Cohere partnered with Accenture for enterprise AI search, while Mistral AI and Snowflake collaborate to provide LLMs on Snowflake's platform. Together AI Research integrates Deepspeed innovations to accelerate generative AI infrastructure. Hugging Face and the European Space Agency released a large earth observation dataset, and Google open sourced Gemma 2B, optimized for smartphones via the MLC-LLM project. GPT4All improved model discoverability for open models. The AI community balances excitement over new models with concerns about limitations and robustness, alongside growing enterprise adoption and open-source contributions. Memes and humor continue to provide social commentary.
Claude 3 just destroyed GPT 4 (see for yourself)
claude-3 claude-3-opus claude-3-sonnet claude-3-haiku gpt-4 anthropic amazon google claude-ai multimodality vision long-context model-alignment model-evaluation synthetic-data structured-output instruction-following model-speed cost-efficiency benchmarking safety mmitchell connor-leahy
Claude 3 from Anthropic launches in three sizes: Haiku (small, unreleased), Sonnet (medium, default on claude.ai, AWS, and GCP), and Opus (large, on Claude Pro). Opus outperforms GPT-4 on key benchmarks like GPQA, impressing benchmark authors. All models support multimodality with advanced vision capabilities, including converting a 2-hour video into a blog post. Claude 3 offers improved alignment, fewer refusals, and extended context length up to 1 million tokens with near-perfect recall. Haiku is noted for speed and cost-efficiency, processing dense research papers in under three seconds. The models excel at following complex instructions and producing structured outputs like JSON. Safety improvements reduce refusal rates, though some criticism remains from experts. Claude 3 is trained on synthetic data and shows strong domain-specific evaluation results in finance, medicine, and philosophy.
... and welcome AI Twitter!
mistral-large google-gemini google openai apple stripe ai-ethics multilinguality on-device-ai convolutional-neural-networks synthetic-data financial-transaction-systems corporate-culture humor margaret-mitchell john-carmack guillaume-lample sundar-pichai delip-rao santiago-l-valdarrama alex-wang yann-lecun pieter-levels francois-chollet dheliat
The AI Twitter discourse from 2/27-28/2024 covers a broad spectrum including ethical considerations highlighted by Margaret Mitchell around Google Gemini's launch, and John Carmack's insights on evolving coding skills in the AI era. Guillaume Lample announced the release of the Mistral Large multilingual model. Discussions also touched on potential leadership changes at Google involving Sundar Pichai, and OpenAI's possible entry into the synthetic data market as noted by Delip Rao. Technological advancements include Yann LeCun's commentary on running LLMs on mobile devices and Alex Wang's praise for the Apple Vision Pro. Financial platform issues were raised by Pieter Levels regarding Stripe's payment policies. The cultural dynamics within big tech were discussed by François Chollet and Dhéliat. The lighter side of AI was represented by memes and humor from Pieter Levels and AISafetyMemes. This summary reflects the fast-evolving AI landscape blending technical innovation, corporate strategy, ethics, and community culture.
Ring Attention for >1M Context
gemini-pro gemma-7b gemma-2b deepseek-coder-6.7b-instruct llama-cpp google cuda-mode nvidia polymind deepseek ollama runpod lmstudio long-context ringattention pytorch cuda llm-guessing-game chatbots retrieval-augmented-generation vram-optimization fine-tuning dynamic-prompt-optimization ml-workflows gpu-scaling model-updates liu zaharia abbeel
Google Gemini Pro has sparked renewed interest in long context capabilities. The CUDA MODE Discord is actively working on implementing the RingAttention paper by Liu, Zaharia, and Abbeel, including extensions from the World Model RingAttention paper, with available PyTorch and CUDA implementations. TheBloke Discord discussed various topics including LLM guessing game evaluation, chatbot UX comparisons between Nvidia's Chat with RTX and Polymind, challenges in retrieval-augmented generation (RAG) integration, VRAM optimization, fine-tuning for character roleplay using Dynamic Prompt Optimization (DPO), and model choices like deepseek-coder-6.7B-instruct. There was also discussion on ML workflows on Mac Studio, with preferences for llama.cpp over ollama, and scaling inference cost-effectively using GPUs like the 4090 on Runpod. LM Studio users face manual update requirements for version 0.2.16, which includes support for Gemma models and bug fixes, especially for MacOS. The Gemma 7B model has had performance issues, while Gemma 2B received positive feedback.
Google AI: Win some (Gemma, 1.5 Pro), Lose some (Image gen)
gemma-2b gemma-7b gemma gemini-pro-1.5 llama-2 llama-3 mistral google hugging-face nvidia benchmarking license-policies image-generation video-understanding long-context dataset-editing model-integration gpu-hardware bug-fixes quantization
Google's Gemma open models (2-7B parameters) outperform Llama 2 and Mistral in benchmarks but face criticism for an unusual license and poor image generation quality, which Google partially acknowledges. The upcoming Gemini Pro 1.5 model features a 1 million token context window, excelling in video understanding and needle-in-haystack tasks. Discord communities like TheBloke and LM Studio discuss mixed reception of Gemma models, anticipation for Llama 3 release, challenges in dataset editing, and hardware considerations such as NVIDIA GeForce RTX 3090 and RTX 4090 GPUs. LM Studio users report issues with version 0.2.15 Beta and ongoing integration of Gemma models, with resources shared on Hugging Face.
Gemini Ultra is out, to mixed reviews
gemini-ultra gemini-advanced solar-10.7b openhermes-2.5-mistral-7b subformer billm google openai mistral-ai hugging-face multi-gpu-support training-data-contamination model-merging model-alignment listwise-preference-optimization high-performance-computing parameter-sharing post-training-quantization dataset-viewer gpu-scheduling fine-tuning vram-optimization
Google released Gemini Ultra as a paid tier for "Gemini Advanced with Ultra 1.0" following the discontinuation of Bard. Reviews noted it is "slightly faster/better than ChatGPT" but with reasoning gaps. The Steam Deck was highlighted as a surprising AI workstation capable of running models like Solar 10.7B. Discussions in AI communities covered topics such as multi-GPU support for OSS Unsloth, training data contamination from OpenAI outputs, ethical concerns over model merging, and new alignment techniques like Listwise Preference Optimization (LiPO). The Mojo programming language was praised for high-performance computing. In research, the Subformer model uses sandwich-style parameter sharing and SAFE for efficiency, and BiLLM introduced 1-bit post-training quantization to reduce resource use. The OpenHermes dataset viewer tool was launched, and GPU scheduling with Slurm was discussed. Fine-tuning challenges for models like OpenHermes-2.5-Mistral-7B and VRAM requirements were also topics of interest.
MetaVoice & RIP Bard
mixtral nous-mixtral-dpo miqu-70b gpt-4 llama-2-70b-instruct llama-2 llama-2-70b llama-2-70b-instruct coqui metavoice google openai thebloke text-to-speech voice-cloning longform-synthesis prompt-engineering direct-preference-optimization lora-fine-tuning transformers gpu-acceleration apple-silicon content-authenticity metadata ai-censorship open-source-ai model-comparison usability model-limitations
Coqui, a TTS startup that recently shut down, inspired a new TTS model supporting voice cloning and longform synthesis from a small startup called MetaVoice. Google discontinued the Bard brand in favor of Gemini. On TheBloke Discord, discussions focused on AI training with models like Mixtral, Nous Mixtral DPO, and Miqu 70B, comparing them to OpenAI's GPT models, and debated prompt engineering, lorebooks, and removing safety features via LoRA fine-tuning on models such as Llama2 70B instruct. Technical topics included transformer layer offloading limitations and adapting LLaMa 2 for Apple Silicon. On OpenAI Discord, DALL-E images now include C2PA metadata for content authenticity, sparking debates on AI censorship, metadata manipulation, and open-source AI models versus commercial giants like GPT-4. Users discussed GPT-4 usability, limitations, and practical applications.
1/4/2024: Jeff Bezos backs Perplexity's $520m Series B.
wizardcoder-33b-v1.1 mobilellama-1.4b-base shearedllama tinyllama mixtral-8x7b perplexity anthropic google nous-research mistral-ai hugging-face document-recall rnn-memory synthetic-data benchmarking multi-gpu-support context-length model-architecture sliding-window-attention model-parallelism gpu-optimization jeff-bezos
Perplexity announced their Series B funding round with notable investor Jeff Bezos, who previously invested in Google 25 years ago. Anthropic is raising $750 million, projecting at least $850 million in annualized revenue next year and implementing "brutal" changes to their Terms of Service. Discussions in Nous Research AI Discord cover topics such as document recall limits from gigabytes of data, RNN memory and compute trade-offs, synthetic datasets, and benchmarking of models like WizardCoder-33B-V1.1, MobileLLaMA-1.4B-Base, ShearedLLaMA, and TinyLLaMA. Other highlights include UnsLOTH optimizations for multi-GPU systems, AI rap voice models, context-extending code, and architectural innovations like applying Detectron/ViT backbones to LLMs, sliding window attention in Mistral, and parallelizing Mixtral 8x7b with FSDP and HF Accelerate.
1/3/2024: RIP Coqui
sdxl diffusers-0.25 coqui mozilla hugging-face google text-to-speech performance-optimization token-management transformer-architecture image-datasets web-crawling pytorch leaderboards
Coqui, a prominent open source text-to-speech project from the Mozilla ML group, officially shut down. Discussions in the HuggingFace Discord highlighted skepticism about the claimed
3X faster speed of sdxl, attributing improvements more to techniques like torch.compile and removal of fp16 and attention rather than diffusers 0.25 features. Users confirmed that a HuggingFace user token can be used across multiple machines, though distinct tokens are recommended for safety. The Learning Loss Minimization (LLM) Leaderboard briefly experienced issues but was later confirmed operational. A Kaggle notebook was shared demonstrating how to build Transformer architectures from scratch using PyTorch. Additionally, a new image dataset with 15k shoe, sandal, and boot images was introduced for multiclass classification tasks. Explanations about the workings of the Common Crawl web-crawling process were also shared. 12/24/2023: Dolphin Mixtral 8x7b is wild
dolphin glm3 chatglm3-ggml mistral-ai ollama google openai fine-tuning hardware-compatibility gpu-inference local-model-hosting model-integration rocm-integration performance-issues autogen linux model-training eric-hartford
Mistral models are recognized for being uncensored, and Eric Hartford's Dolphin series applies uncensoring fine-tunes to these models, gaining popularity on Discord and Reddit. The LM Studio Discord community discusses various topics including hardware compatibility, especially GPU performance with Nvidia preferred, fine-tuning and training models, and troubleshooting issues with LM Studio's local model hosting capabilities. Integration efforts with GPT Pilot and a beta release for ROCm integration are underway. Users also explore the use of Autogen for group chat features and share resources like the Ollama NexusRaven library. Discussions highlight challenges with running LM Studio on different operating systems, model performance issues, and external tools like Google Gemini and ChatGLM3 compilation.
12/19/2023: Everybody Loves OpenRouter
gpt-4 gpt-3.5 mixtral-8x7b-instruct dolphin-2.0-mistral-7b gemini openai mistral-ai google hugging-face performance memory-management api prompt-engineering local-language-models translation censorship video-generation
OpenRouter offers an easy OpenAI-compatible proxy for Mixtral-8x7b-instruct. Discord discussions highlight GPT-4 performance and usability issues compared to GPT-3.5, including memory management and accessibility problems. Users debate local language models versus OpenAI API usage, with mentions of Dolphin 2.0 Mistral 7B and Google's video generation project. Prompt engineering and custom instructions for GPT models are also key topics. Concerns about censorship on models like Gemini and translation tool preferences such as DeepL were discussed.
12/8/2023 - Mamba v Mistral v Hyena
mistral-8x7b-moe mamba-3b stripedhyena-7b claude-2.1 gemini gpt-4 dialogrpt-human-vs-machine cybertron-7b-v2-gguf falcon-180b mistral-ai togethercompute stanford anthropic google hugging-face mixture-of-experts attention-mechanisms prompt-engineering alignment image-training model-deployment gpu-requirements cpu-performance model-inference long-context model-evaluation open-source chatbots andrej-karpathy tri-dao maxwellandrews raddka
Three new AI models are highlighted: Mistral's 8x7B MoE model (Mixtral), Mamba models up to 3B by Together, and StripedHyena 7B, a competitive subquadratic attention model from Stanford's Hazy Research. Discussions on Anthropic's Claude 2.1 focus on its prompting technique and alignment challenges. The Gemini AI from Google is noted as potentially superior to GPT-4. The community also explores Dreambooth for image training and shares resources like the DialogRPT-human-vs-machine model on Hugging Face. Deployment challenges for large language models, including CPU performance and GPU requirements, are discussed with references to Falcon 180B and transformer batching techniques. User engagement includes meme sharing and humor.
12/7/2023: Anthropic says "skill issue"
claude-2.1 gpt-4 gpt-3.5 gemini-pro gemini-ultra gpt-4.5 chatgpt bingchat dall-e gpt-5 anthropic openai google prompt-engineering model-performance regulation language-model-performance image-generation audio-processing midi-sequence-analysis subscription-issues network-errors
Anthropic fixed a glitch in their Claude 2.1 model's needle in a haystack test by adding a prompt. Discussions on OpenAI's Discord compared Google's Gemini Pro and Gemini Ultra models with OpenAI's GPT-4 and GPT-3.5, with some users finding GPT-4 superior in benchmarks. Rumors about a GPT-4.5 release circulated without official confirmation. Concerns were raised about "selective censorship" affecting language model performance. The EU's potential regulation of AI, including ChatGPT, was highlighted. Users reported issues with ChatGPT Plus message limits and subscription upgrades, and shared experiences with BingChat and DALL-E. The community discussed prompt engineering techniques and future applications like image generation and MIDI sequence analysis, expressing hopes for GPT-5.
Is Google's Gemini... legit?
gemini gemini-pro gemini-ultra gpt-4 gpt-3.5 claude-2.1 palm2 google openai chain-of-thought context-windows prompt-engineering model-evaluation multimodality speech-processing chatbot-errors subscription-management swyx
Google's Gemini AI model is generating significant discussion and skepticism, especially regarding its 32-shot chain of thought MMLU claim and 32k context window. The community is comparing Gemini's performance and capabilities with OpenAI's GPT-4 and GPT-3.5, highlighting the upcoming Gemini Pro and Gemini Ultra models on the Bard platform. Users report various OpenAI service issues including chatbot errors and subscription problems. Discussions also cover prompt engineering techniques, AI model evaluation comparing GPT-4, Claude 2.1, and PaLM2, and improvements in speech and multimodal capabilities. The bot now supports reading and summarizing links from platforms like arXiv, Twitter, and YouTube, enhancing user interaction.