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MosaicML built tools and infrastructure for training custom AI models, released the MPT transformer family, and joined Databricks in July 2023.
Affordable models depend on frontier research. This conversation with Jeff Dean follows that connection through search, chip design, model specialization, and coding agents.
How MosaicML combined attention implementations, data choices, and automated recovery—and why cheaper experiments mattered as much as a finished model.
Software engineer and Gemini Deep Research tech lead in 2025, whose work helped turn web research into reports and whose public interests included personalized learning and multimodal research agents.
From coding agents that do too much to tools that get called but ignored, the training problem is deciding which actions deserve credit.
Worked on Goodfire’s founding team, connecting mechanistic interpretability research to model customization, production guardrails, and interfaces for controlling AI systems.
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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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