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Glean turns scattered workplace information into searchable context, conversational answers, and agent workflows, with permissions and personalized retrieval at the center of its architecture.
An AI interpretability research lab developing tools to inspect model internals, monitor behavior, and guide training.
Production monitoring, live steering, and scientific discovery expose both the promise of mechanistic interpretability and the distance between finding a feature and controlling a capability.
Google connects AI research, custom computing infrastructure and widely used products, from Search to Gemini and Google Cloud.
Google’s AI research team helped turn neural-network research into translation systems, open-source infrastructure, and experiments in robotics and creativity before joining DeepMind in 2023.
Google’s AI research and model-building organization, combining multimodal models, scientific tools and research into reasoning, robotics and security.
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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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