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The organization behind Python’s Pydantic validation library expanded into AI agents, observability, evaluation and controlled execution of agent-written code.
Applied Intuition’s co-founder and CEO focuses on putting AI into physical machines, with an emphasis on production constraints and sustainable commercialization.
AI systems engineer whose work spans distributed model training, practical training guidance, and hardware-aware model design.
Amp CEO and Sourcegraph co-founder whose work centers on code understanding, autonomous coding agents, and verification of generated software.
AI researcher whose collaborative work spans unsupervised feature learning, sequence-to-sequence models, language-model pretraining, neural architecture search, and chain-of-thought prompting; cofounder of Discovery Loop.
Alibaba’s foundation-model team develops open-weight language and multimodal models, agent tools and interpretability research alongside hosted AI services.
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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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