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2098 results
Machine-learning researcher and Periodic Labs co-founder working on AI systems that learn from physical experiments.
An AI research company combining scientific reasoning models with automated laboratories across biology, chemistry and materials science.
Experiments have runtimes. Part 1 follows Lila’s effort to turn physical laboratories into training feedback for scientific AI, from callable instruments to catalysts, materials, and cell therapies.
AI researcher and Lil’Log author whose work includes robotics vision and technical syntheses of autonomous agents, reasoning, and self-improving systems.
Fireworks AI co-founder and CEO, former PyTorch leader, and advocate for workload-specific inference and compound AI systems.
Lindy’s redesign makes required actions explicit while leaving models room to interpret information—a division of labor that shapes its workflows, memory, evaluations, and product strategy.
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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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