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Company: "langgraph"
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.