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2093 results
AI researcher whose collaborative work examines how language models use computation, acquire capabilities, and learn to complete user-specified tasks.
How community comparisons became a model benchmark—and what style, voter expertise, private testing and inference cost mean for its scores.
Shared tools, persistent files and inspectable outputs extend Codex beyond software development. Making that useful requires helping people discover tasks, preserve context and distinguish activity from progress.
A launch-day discussion moves from video editing and plugin distribution to personal assistants, context limits and the permissions models need to act.
Stanford professor and Physical Intelligence cofounder working on robot learning, fast adaptation, and reliable general-purpose robots.
Writer and computer scientist focused on bringing AI into production, from machine learning systems design to foundation-model applications and agent evaluation.
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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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