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…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 …
…example is a farmer supervising several autonomous machines: agents make routine decisions, and the farmer intervenes at critical decisions or disengagements. Supervision could span several machines, with people still involved where the…
…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…
…professor who ran a nonprofit developing AI chemistry research agents, and characterized the use case as benign. In Pliny’s account, jailbreaking restored access to information needed for that work. Earlier history: prompting and contract…
…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.…
…with customers. Poolside connected the acquisition to deploying agents inside private enterprise environments and translating customer problems into reinforcement-learning tasks. The announcement acknowledged that reliable, long-running…
…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…
…agent to a desktop workspace that can also run other companies’ agents. The public Laguna releases followed several years of enterprise-focused model development. Poolside’s founding team also brought earlier experience in developer tools…
…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…
…in model weights, and consensus. The episode also considered agents that interact with websites and take actions on users’ behalf. That episode carried sponsor listings for Framer and the Midwest AI Summit and directed listeners to prior…
…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…
…can reproduce a style from a few examples. Customer-support agents can benefit from better adaptation while still needing customer context, brand-specific behavior and integrations with internal systems. Skilled human-data providers occupy …
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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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