All tags
Company: "runway"
not much happened today
vllm-0.12.0 gemma3n qwen3-omni qwen3-vl gpt-5.1-codex-max gemini-3-pro runway-gen-4.5 kling-video-2.6 vllm nvidia huggingface langchain-ai together-ai meta-ai-fair sonarsource openrouter runway gemini arena gpu-programming quantization multimodality agent-platforms reinforcement-learning static-analysis reasoning inference-infrastructure model-optimization economics audio video-generation jeremyphoward mervenoyann sydneyrunkle swyx maximelabonne
vLLM 0.12.0 introduces DeepSeek support, GPU Model Runner V2, and quantization improvements with PyTorch 2.9.0 and CUDA 12.9. NVIDIA launches CUDA Tile IR and cuTile Python for advanced GPU tensor operations targeting Blackwell GPUs. Hugging Face releases Transformers v5 RC with an any-to-any multimodal pipeline supporting models like Gemma3n and Qwen3-Omni. Agent platforms see updates from LangChain with content moderation and cost tracking, Together AI and Meta AI collaborate on RL for long-horizon workflows, and SonarSource integrates static analysis into AI codegen. Economic insights from OpenRouter highlight coding as a key AI application, with reasoning models surpassing 50% usage and market bifurcation between premium and open models. Additionally, Kling Video 2.6 debuts native audio capabilities, and Runway Gen-4.5, Qwen3-TTS, and Gemini 3 Pro advance multimodality.
not much happened today
kling-2.6 kling-o1 runway-gen-4.5 gemini-3 deepseek-v3.2 ministral-3 evoqwen2.5-vl hermes-4.3 intellect-3 openai anthropic google runway elevenlabs freepik openart deepseek mistral-ai alibaba nous-research video-generation audio-processing multimodality image-generation reasoning model-quantization sparse-attention model-pricing multimodal-models retrieval-augmentation model-training model-release
OpenAI's Code Red response and Anthropic's IPO are major highlights. In AI video and imaging, Kling 2.6 introduces native audio co-generation with coherent lip-sync, partnered with platforms like ElevenLabs and OpenArt. Runway Gen-4.5 enhances lighting fidelity, while Google's Gemini 3 Nano Banana Pro supports advanced image compositing. Open model releases include DeepSeek V3.2 with sparse attention and cost-effective pricing, and Mistral's Ministral 3 multimodal family with strong 14B variants. Retrieval and code models from Alibaba's EvoQwen2.5-VL and Nous Research's Hermes 4.3 show competitive performance with permissive licensing and HF availability. The community arena sees additions like INTELLECT-3 (106B MoE). "coherent looking & sounding output" and "auto-lighting to match scene mood" are noted advancements.
Mistral 3: Mistral Large 3 + Ministral 3B/8B/14B open weights models
mistral-large-3 ministral-3 clara-7b-instruct gen-4.5 claude-code mistral-ai anthropic apple runway moondream sparse-moe multimodality benchmarking open-source model-licensing model-performance long-context inference-optimization instruction-following local-inference code-generation model-integration anjney_midha _akhaliq alexalbert__ _catwu mikeyk
Mistral has launched the Mistral 3 family including Ministral 3 models (3B/8B/14B) and Mistral Large 3, a sparse MoE model with 675B total parameters and 256k context window, all under an Apache 2.0 open license. Early benchmarks rank Mistral Large 3 at #6 among open models with strong coding performance. The launch includes broad ecosystem support such as vLLM, llama.cpp, Ollama, and LM Studio integrations. Meanwhile, Anthropic acquired the open-source Bun runtime to accelerate Claude Code, which reportedly reached a $1B run-rate in ~6 months. Anthropic also announced discounted Claude plans for nonprofits and shared insights on AI's impact on work internally.
not much happened today
qwen3-vl-4b qwen3-vl-8b qwen2.5-vl-72b deepseek-v3.1 alibaba arena runway nvidia togethercompute ollama model-optimization fine-tuning inference-speed video-generation diffusion-models representation-learning local-ai speculative-decoding fp8-quantization context-windows karpathy
Alibaba released compact dense Qwen3-VL models at 4B and 8B sizes with FP8 options, supporting up to 1M context and open vocabulary detection, rivaling larger models like Qwen2.5-VL-72B. Ecosystem support includes MLX-VLM, LM Studio, vLLM, Kaggle models, and Ollama Cloud. In video AI, Arena added Sora 2 models leading in video benchmarks, with Higgsfield Enhancer improving video quality. Runway launched domain-specific workflow apps for creative tasks. Research on Representation Autoencoders for DiTs (RAE-DiT) shows improved diffusion model performance. On local training, NVIDIA DGX Spark enables strong local fine-tuning, while Nanochat by Karpathy offers a minimal stack for training and inference. Together AI introduced ATLAS, a speculative decoding method achieving up to 4× faster inference on DeepSeek-V3.1. These developments highlight advances in efficient model deployment, video AI, local fine-tuning, and inference speed optimization.
not much happened today
glm-4.5 glm-4.5-air qwen3-coder qwen3-235b kimi-k2 grok-imagine wan-2.2 smollm3 figure-01 figure-02 vitpose++ chatgpt zhipu-ai alibaba moonshot-ai x-ai figure openai runway mlx ollama deeplearningai model-releases model-performance moe image-generation video-generation pose-estimation robotics training-code-release interactive-learning in-context-learning yuchenj_uw corbtt reach_vb ollama deeplearningai gdb sama c_valenzuelab adcock_brett skalskip92 loubnabenallal1 hojonathanho ostrisai
Chinese AI labs have released powerful open-source models like GLM-4.5 and GLM-4.5-Air from Zhipu AI, Qwen3 Coder and Qwen3-235B from Alibaba, and Kimi K2 from Moonshot AI, highlighting a surge in permissively licensed models. Zhipu AI's GLM-4.5 is a 355B parameter MoE model competitive with Claude 4 Opus and Gemini 2.5 Pro. Alibaba's Qwen3 Coder shows strong code generation performance with a low edit failure rate, while Moonshot AI's Kimi K2 is a 1 trillion-parameter MoE model surpassing benchmarks like LiveCodeBench. In video and image generation, xAI launched Grok Imagine, and Wan2.2 impressed with innovative image-to-video generation. Robotics advances include Figure's Figure-01 and Figure-02 humanoid robots and ViTPose++ for pose estimation in basketball analysis. SmolLM3 training and evaluation code was fully released under Apache 2.0. OpenAI introduced Study Mode in ChatGPT to enhance interactive learning, and Runway rolled out Runway Aleph, a new in-context video model for multi-task visual generation. The community notes a competitive disadvantage for organizations avoiding these Chinese open-source models. "Orgs avoiding these models are at a significant competitive disadvantage," noted by @corbtt.
not much happened today
gpt-5 gpt4-0314 qwen3-235b-thinking runway-aleph imagen-4-ultra smollm3 grok-4 openai alibaba runway hugging-face google anthropic pytorch lmarena reinforcement-learning reasoning video-generation image-generation model-optimization open-source model-performance inference-speed integration stability sama clementdelangue xikun_zhang_ teknnium1 chujiezheng
OpenAI has fully rolled out its ChatGPT agent to all Plus, Pro, and Team users and is building hype for the upcoming GPT-5, which reportedly outperforms Grok-4 and can build a cookie clicker game in two minutes. Alibaba's Qwen team released the open-source reasoning model Qwen3-235B-Thinking, achieving an 89% win rate over gpt4-0314 using a new RL algorithm called Group Sequence Policy Optimization (GSPO). Runway introduced Runway Aleph, a state-of-the-art in-context video model for editing and generating video content. Hugging Face highlights the growing momentum of open-source AI, especially from Chinese teams. Other updates include Kling's upgrades for image-to-video generation and Google's Imagen 4 Ultra being recognized as a top text-to-image model. Anthropic integrated Claude with Canva for branded visual designs but faces stability issues. The PyTorch team released optimized checkpoints for SmolLM3 to speed up inference.
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.
Cursor @ $9b, OpenAI Buys Windsurf @ $3b
llama-nemotron-ultra llama-nemotron-super llama-nemotron-nano qwen3-235b-a22b prover-v2 phi-4-reasoning ernie-4.5-turbo ernie-x1-turbo suno-v4.5 gen-4-references o1-mini openai cursor nvidia alibaba deepseek microsoft baidu suno runway keras reasoning inference-efficiency open-license moe-models math-reasoning theorem-proving model-performance music-generation image-generation recommender-systems tpu-optimization _akhaliq adcock_brett lmarena_ai fchollet
OpenAI is reportedly close to closing a deal with Windsurf, coinciding with Cursor's $900M funding round at a $9B valuation. Nvidia launched the Llama-Nemotron series featuring models from 8B to 253B parameters, praised for reasoning and inference efficiency. Alibaba released the Qwen3 family with MoE and dense models up to 235B parameters, ranking highly in coding and math benchmarks. DeepSeek introduced Prover-V2, an open-source AI for math reasoning with an 88.9% pass rate on MiniF2F-test. Microsoft released reasoning-focused Phi-4 models, outperforming OpenAI's o1-mini. Baidu debuted turbo versions of ERNIE 4.5 and X1 for faster, cheaper inference. Suno v4.5 added advanced AI music generation features, while Runway Gen-4 References enable placing characters into scenes with high consistency. KerasRS, a new recommender system library optimized for TPUs, was released by Fran ois Chollet.
DeepCoder: A Fully Open-Source 14B Coder at O3-mini Level
deepcoder-14b o3-mini o1 gemini-2.5-pro kimi-vl-a3b gpt-4o llama-4-scout maverick behemoth gen-4-turbo imagen-3 together-ai agentica opena bytedance google-deepmind moonshot-ai meta-ai-fair runway open-source reinforcement-learning code-generation multimodality model-training mixture-of-experts l2-normalization image-generation model-performance context-windows philschmid lepikhin reach_vb akhaliq yuchenj_uw epochairesearch danielhanchen c_valenzuelab
Together AI and Agentica released DeepCoder-14B, an open-source 14B parameter coding model rivaling OpenAI's o3-mini and o1 on coding benchmarks, trained with an open-source RL framework from ByteDance and costing about $26,880. Google DeepMind launched Gemini 2.5 Pro with experimental "Flash" versions available to subscribers. Moonshot AI introduced Kimi-VL-A3B, a multimodal model with 128K context outperforming gpt-4o on vision and math benchmarks. Meta AI released Llama 4 Scout and Maverick, with a larger Behemoth model in training, featuring mixture-of-experts and L2 norm techniques. Runway launched Gen-4 Turbo with 10x better results than Gen-3 at the same cost. Google announced Imagen 3, a high-quality text-to-image model now in Vertex AI, enabling easier object removal. The report highlights open-source contributions, reinforcement learning training optimizations, and significant model performance improvements across coding, multimodal, and image generation domains.
not much happened today
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.
not much happened today
gpt-2 r1 gemma-3 gemmacoder3-12b qwen2.5-omni openai deepseek berkeley alibaba togethercompute nvidia azure runway langchain bmw amazon open-source function-calling benchmarking code-reasoning multimodality inference-speed image-generation voice-generation animation robotics realtime-transcription webrtc sama clémentdelangue lioronai scaling01 cognitivecompai osanseviero jack_w_rae ben_burtenshaw theturingpost vipulved kevinweil tomlikesrobots adcock_brett juberti
OpenAI plans to release its first open-weight language model since GPT-2 in the coming months, signaling a move towards more open AI development. DeepSeek launched its open-source R1 model earlier this year, challenging perceptions of China's AI progress. Gemma 3 has achieved function calling capabilities and ranks on the Berkeley Function-Calling Leaderboard, while GemmaCoder3-12b improves code reasoning performance on LiveCodeBench. Alibaba_Qwen's Qwen2.5-Omni introduces a novel Thinker-Talker system and TMRoPE for multimodal input understanding. The TogetherCompute team achieved 140 TPS on a 671B parameter model, outperforming Azure and DeepSeek API on Nvidia GPUs. OpenAI also expanded ChatGPT features with image generation for all free users and a new voice release. Runway Gen-4 enhances animation for miniature dioramas, and LangChain launched a chat-based generative UI agent. Commercial deployment of Figure 03 humanoid robots at BMW highlights advances in autonomy and manufacturing scaling. New tools include OpenAI's realtime transcription API with WebRTC support and Amazon's Nova Act AI browser agent.
OpenAI beats Anthropic to releasing Speculative Decoding
claude-3-sonnet mrt5 openai anthropic nvidia microsoft boston-dynamics meta-ai-fair runway elevenlabs etched osmo physical-intelligence langchain speculative-decoding prompt-lookup cpu-inference multimodality retrieval-augmented-generation neural-networks optimization ai-safety governance model-architecture inference-economics content-generation adcock_brett vikhyatk dair_ai rasbt bindureddy teortaxestex svpino c_valenzuelab davidsholz
Prompt lookup and Speculative Decoding techniques are gaining traction with implementations from Cursor, Fireworks, and teased features from Anthropic. OpenAI has introduced faster response times and file edits with these methods, offering about 50% efficiency improvements. The community is actively exploring AI engineering use cases with these advancements. Recent updates highlight progress from companies like NVIDIA, OpenAI, Anthropic, Microsoft, Boston Dynamics, and Meta. Key technical insights include CPU inference capabilities, multimodal retrieval-augmented generation (RAG), and neural network fundamentals. New AI products include fully AI-generated games and advanced content generation tools. Challenges in AI research labs such as bureaucracy and resource allocation were also discussed, alongside AI safety and governance concerns.
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.
Problems with MMLU-Pro
mmlu-pro llama-3-8b-q8 gpt4all-3.0 chatgpt claude llama gemini mobilellm runway-gen-3-alpha meta-3d-gen huggingface meta-ai-fair salesforce runway nomic-ai pineapple argil-ai benchmarking prompt-engineering model-evaluation model-performance multimodality automated-dataset-generation video-generation open-source-models ai-assistants text-to-3d deepfake transformers reasoning wenhu-chen danhendrycks clementine ylecun adcock_brett svpino rohanpaul_ai
MMLU-Pro is gaining attention as the successor to MMLU on the Open LLM Leaderboard V2 by HuggingFace, despite community concerns about evaluation discrepancies and prompt sensitivity affecting model performance, notably a 10-point improvement in Llama-3-8b-q8 with simple prompt tweaks. Meta's MobileLLM research explores running sub-billion parameter LLMs on smartphones using shared weights and deeper architectures. Salesforce's APIGen introduces an automated dataset generation system for function-calling tasks outperforming larger models. Runway Gen-3 Alpha launches an AI video generator for paid users creating realistic 10-second clips. Nomic AI's GPT4All 3.0 offers an open-source desktop app supporting thousands of local models. AI assistants with multimodal capabilities and affordable access to multiple LLMs like ChatGPT, Claude, Llama, and Gemini are emerging. Meta 3D Gen advances text-to-3D asset generation, while Argil AI enables deepfake video creation from text threads. Research on transformer grokking and reasoning highlights advances in robust reasoning capabilities.