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2102 results
An AI podcast hosted by Daniel Whitenack and Chris Benson, launched with Changelog in 2018 to make AI practical, productive, and accessible.
From incompatible datasets to efficient training: how Axolotl turns model-building experience into reusable configuration.
Conviction partner and former Neeva engineer whose writing examines AI business durability, search infrastructure and enterprise automation.
Creator of Galileo’s Agent Leaderboard, focused on evaluating whether AI agents complete tasks and turning failures into verifiable improvements.
Machine-learning researcher and DatologyAI founding member studying how training data shapes foundation-model capabilities, memorization, and safety.
Prime Intellect builds open models and infrastructure for improving them, spanning distributed compute, reinforcement learning, executable environments, and agent tooling.
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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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