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Person: "jaseweston"
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.
Stripe lets Agents spend money with StripeAgentToolkit
gpt-4o gemini-exp-1114 stripe openai anthropic meta-ai-fair ai-computer-interfaces agentic-ai model-overfitting benchmarks scaling-laws agi chain-of-thought image-captioning dialogue-systems memory-efficient-fine-tuning diffusion-models mixture-of-experts adaptive-decoding creativity-optimization factuality-optimization pair-programming document-parsing retrieval-augmented-generation abacaj francois-fleuret lmarena_ai goodside jxmnop jaseweston stevenheidel
Stripe has pioneered an AI SDK specifically designed for agents that handle payments, integrating with models like gpt-4o to enable financial transactions and token-based charging. The AI developer tooling trend emphasizes better "AI-Computer Interfaces" for improved agent reliability, with tools like E2B and the
llms.txt documentation trend gaining traction, notably adopted by Anthropic. In AI model news, Gemini-Exp-1114 topped the Vision Leaderboard and improved in Math Arena, while discussions continue around model overfitting and the limits of scaling laws for AGI. OpenAI released a ChatGPT desktop app for macOS with integrations for VS Code, Xcode, and Terminal, enhancing developer workflows and pair programming. Anthropic introduced a prompt improver using chain-of-thought reasoning, and Meta AI shared top research from EMNLP2024 on image captioning, dialogue systems, and memory-efficient fine-tuning. Highlights from ICLR 2025 include diffusion-based illumination harmonization, open mixture-of-experts language models, and hyperbolic vision-language models. A new adaptive decoding method optimizes creativity and factuality per token. Tools like LlamaParse and RAGformation were also introduced for document parsing and retrieval-augmented generation.