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…dependable across updates. Interest in AutoGPT and autonomous agents remains strong, but one participant sees a central product problem: narrowing general-purpose ambition into useful scope. Evaluation tools are emerging to monitor prompt…
…tool connection used here to pass Figma information to coding agents, so an implementation can reuse the team’s existing components. Setup is acknowledged to be cumbersome; easier setup and broader access are described as ongoing work,…
…than accessing external information. Cosine’s criticism of agents built by wrapping foundation models in tools did not mean those tools were unimportant. Genie had a URL-reading tool, used Perplexity’s API to ask questions and had…
…step is to scale the architecture toward more generalizable agents, including robots that perform tasks from language instructions. Chelsea Finn begins with early robot policies—models that choose motor actions from observations—with just…
…support. Multi-agent orchestration—the coordination of several agents—tool selection and memory are possible next targets for learned behavior. As more of this coordination moves into model weights, the harness may need less scaffolding to …
…which applications much faster generation will make possible. Agents are not necessarily rational infrastructure buyers. A participant argues that they are vulnerable to prompt injection and tend to reinforce products already prominent in…
…treats this as an intuition, not a formal definition of agents. As with human colleagues, collaboration reveals working styles, communication habits, and implicit preferences. Consistent performance builds the trust needed to delegate more.…
…paths. By the interview, the team described more open-ended agents guided by planning, decisions, and feedback from their environment. That broader autonomy did not imply replacing a whole person. The founders expected the outer…
…Should it fund foundation models, data centers, GPUs or agents? Alessio opens with this allocation problem. In Singapore, senior financial executives had asked him about state-space models and alternatives to Transformers. He sees technical…
…a demonstrated result against a defined benchmark. Tool use and agents are suggested as further opportunities, with the speaker disclaiming expertise in agents. A nonpublic document attributed to Noam Shazeer introduces the importance of…
…The more immediate request is for vendors to build tools for agents and robots, allowing scientists to operate integrated research systems rather than each instrument separately. The career advice is to bring your specialization into…
…to delete email is a straightforward mitigation, but useful agents need capabilities that carry consequences. The planned competition aims to test those practical boundaries, including the risk of agents escaping their sandboxes, using…
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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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