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…Recap MiniMax M2 open-weights release: sparse MoE for coding/agents, strong evals, and architecture clarifications MiniMax M2 (open weights, MIT): MiniMax released M2, a sparse MoE model reported as ≈200–230B total with 10B active…
…still exists regarding its broader applications. Mistral Agents broaden functional integration: Mistral Agents can now utilize Python in various workflows, highlighting their greater adaptability. Users are keen on features that facilitate …
…are probably the most powerful LLMs for powering agents in the world right now. This is thanks to the native support for MCP, Search and Code Interpreter which are 3 of the Big 5 LLM OS primitives. Apart from the new webhook modality, you…
…the other usecases? Surely with 2025 being the year of coding agents, in 2026 the other fields will play catch up right? Congratulations, you just made the classic egocentric error and joined the permanent underclass. There is no wall.…
…of 60s audio on 1x A10G GPU. LangChain for Complex AI Agents: @omarsar0 shared a free 2-hour workshop on building complex AI agents using LangChain for automating tasks in customer support, marketing, technical support, sales, and content…
…updates: LangChain added content‑moderation middleware for agents (screen inputs/outputs/tool results with programmable handling) @sydneyrunkle and cost tracking beyond LLM calls (custom tool/API costs in unified traces) @LangChainAI. Their…
…released: An open-source framework for building in-app AI agents, CopilotKit v0.9.0 supports GPT-4o, native voice, and Gemini integration, enabling easier development of AI-powered applications. WebLLM Chat enables in-browser model…
…demonstrates how to use LangGraph Assistants to turn static agents into flexible, runtime-configurable systems. The Rise of MCP: The MCP standard is gaining traction for enabling agents to use tools. @vikhyatk remarked that after…
…IDEs/editors (announcement), and an Agent SDK to build custom agents (link). A “Kimi Product” account is explicitly aimed at distributing prompts/use-cases (launch), with a viral demo of “video-to-code” website cloning (demo). Open…
…chips, creating powerful servers capable of real-time voice agents, improved coding, and running trillion parameter models. Further open-source research and the development of Nous-Forge are also in the pipeline. OpenAI Community's Various …
…that can make individuals stand out. Long-Running, Stateful Agents: @hwchase17 expressed being bullish on long-running, stateful agents, asking who is building one. Speed as a Key Factor for Startup Success: @AndrewYNg emphasized speed as a…
…generate their own rewards, potentially leading to superhuman agents and suggesting a self-sustaining future for AI training. Meta and the AI Space: Conversations about Meta's LLaMa 3 and comparisons to GPT-4 reflected anticipation of AGI…
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A conversation with Greg Brockman about OpenAI’s path to AGI, alongside our analysis of GPT-5, Codex, and the shift to agentic coding.
Thariq Shihipar on Claude Code’s next era: prompts, harnesses, plugins, and agents—and what it takes to keep pace with the frontier.
Marc Andreessen on the future of the browser, Pi and OpenClaw, and why this wave of AI feels different.
Priscilla Chan and Mark Zuckerberg on Biohub’s plans for frontier AI and virtual biology, and the ambition to cure or prevent disease.
Anima Anandkumar on modeling the physical world, from weather to fusion reactors, and why physics needs more than language models.
John Platt on automating science, tackling climate change, and how the next generation can contribute in the age of AI.
Anthropic brings interactive apps into Claude with an open MCP standard for richer AI interfaces.
What Sam Altman’s town hall reveals about building startups in the age of AI.
Moonshot’s multimodal model brings competitive coding, native image and video understanding, and parallel agents.
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