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…semi-humanoid robot. Slack and Microsoft introduced AI-powered agents in their platforms. Research highlights include a paper on Dual Chunk Attention enabling Llama-2-70b to handle 100k+ token contexts without retraining, and KV cache…
…CPUs or Nvidia K80 GPUs. Public views on retrieval and coding agents In February 2026, Dean proposed systems that give the effect of attending to trillions of tokens through staged retrieval. Lightweight processing would identify…
…an Apache 2.0 license as announced by @LoubnaBenAllal1. AI Agents, Tooling & Applications ChatGPT Study Mode: OpenAI is rolling out Study Mode in ChatGPT, an interactive feature designed to guide users through learning concepts…
…whether access to prior successes and failures could help agents learn. Growing multi-turn conversations exposed instructions that were present but ignored. Huber cautioned that the report's comparative findings applied to its particular…
…before you ever go into production.” He notes that although agents handle about half of customer support queries, they are careful about what requires human assistance — with safety issues, for example. “So while we solve 50% of the…
…inference infrastructure, the adoption and security of agents, and a model ecosystem combining open and proprietary development. Inference and agent deployment Huang framed future computers as systems for “manufacturing tokens”, according…
…AI UX AI Product Management Autonomy, Robotics, and Embodied Agents Computer-Using Agents (CUA) SWE Agents Vibe Coding Voice Sales/Support Agents The Great AI Debates Anything Else Apply here! {% if medium == 'web' %} Table of Contents…
…to their mission. On January 8 they launched Boltz Lab, with agents for small-molecule discovery and protein design, to address practical barriers including compute at scale, reliable infrastructure and interfaces suited to scientific…
…worktrees for transactional parallel writes, while long-horizon agents focus on context engineering and persistent file-centric workspaces.
…Model Context Protocol (MCP), Block’s goose and OpenAI’s AGENTS.md. These projects address different parts of agent development: MCP connects models to tools, data and applications; goose combines language models, extensible tools and MCP…
…made sense when humans wrote code and needed fresh eyes. When agents write code, “fresh eyes” is just another agent with the same blind spots. The value is in the iteration loop here, not as an approval gate. We know from experience agents …
…generation (RAG). He is CEO of Hornet, which builds search for agents, and formerly served as Vespa’s chief scientist. His published evaluations emphasize testing neural methods against strong keyword-search baselines. In an essay bearing a…
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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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