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From selecting wind-tunnel experiments to evaluating generative applications, Humanloop’s story follows a changing bottleneck: turning model behavior into evidence a team can act on.
Keycard cofounder focused on task-scoped access, accountable delegation, and control over autonomous AI agents.
Leash Bio co-founder building the experimental data and cross-disciplinary teams behind models of protein–molecule interactions.
Promptfoo co-founder whose work connects systematic LLM evaluation with application security and adversarial testing.
Part 1 follows the VAE retrospective, Würstchen’s compressed image generation, concept-based controls for diffusion, the compression argument for unsupervised learning, and the opening of Christian Szegedy’s adversarial-examples retrospective.
Part 1 follows the path from rebuilding an NLP course after ChatGPT to web agents, social evaluation, code optimization and the compute constraints shaping academic research.
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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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