All tags
Company: "langgraph"
not much happened today
gemma-3n hunyuan-a13b flux-1-kontext-dev mercury fineweb2 qwen-vlo o3-mini o4-mini google-deepmind tencent black-forest-labs inception-ai qwen kyutai-labs openai langchain langgraph hugging-face ollama unslothai nvidia amd multimodality mixture-of-experts context-windows tool-use coding image-generation diffusion-models dataset-release multilinguality speech-to-text api prompt-engineering agent-frameworks open-source model-release demishassabis reach_vb tri_dao osanseviero simonw clementdelangue swyx hwchase17 sydneyrunkle
Google released Gemma 3n, a multimodal model for edge devices available in 2B and 4B parameter versions, with support across major frameworks like Transformers and Llama.cpp. Tencent open-sourced Hunyuan-A13B, a Mixture-of-Experts (MoE) model with 80B total parameters and a 256K context window, optimized for tool calling and coding. Black Forest Labs released FLUX.1 Kontext [dev], an open image AI model gaining rapid Hugging Face adoption. Inception AI Labs launched Mercury, the first commercial-scale diffusion LLM for chat. The FineWeb2 multilingual pre-training dataset paper was released, analyzing data quality impacts. The Qwen team released Qwen-VLo, a unified visual understanding and generation model. Kyutai Labs released a top-ranked open-source speech-to-text model running on Macs and iPhones. OpenAI introduced Deep Research API with o3/o4-mini models and open-sourced prompt rewriter methodology, integrated into LangChain and LangGraph. The open-source Gemini CLI gained over 30,000 GitHub stars as an AI terminal agent.
AI Engineer World's Fair Talks Day 1
gemini-2.5 gemma claude-code mistral cursor anthropic openai aie google-deepmind meta-ai-fair agent-based-architecture open-source model-memorization scaling-laws quantization mixture-of-experts language-model-memorization model-generalization langgraph model-architecture
Mistral launched a new Code project, and Cursor released version 1.0. Anthropic improved Claude Code plans, while ChatGPT announced expanded connections. The day was dominated by AIE keynotes and tracks including GraphRAG, RecSys, and Tiny Teams. On Reddit, Google open-sourced the DeepSearch stack for building AI agents with Gemini 2.5 and LangGraph, enabling flexible agent architectures and integration with local LLMs like Gemma. A new Meta paper analyzed language model memorization, showing GPT-style transformers store about 3.5–4 bits/parameter and exploring the transition from memorization to generalization, with implications for Mixture-of-Experts models and quantization effects.
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.