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Neural-network researcher, OpenAI cofounder and SSI leader whose work spans image recognition, sequence learning and the problem of reliable generalization.
An AI research company whose work spans reasoning models, coding-agent interfaces, and open tools for automated research.
From image search to conversational characters, useful AI depends on matching hardware, model size and training data to the task—and meeting its response-time budget.
Part 2 of 2 follows inference engineering from distributing a model across GPUs to keeping video coherent, training for efficient serving, and preserving knowledge across requests.
Part 1 follows a long request through caching, speculative decoding and production serving, then examines quantization fidelity, meaningful speed comparisons and the constraints of local inference.
Poolside Infrastructure Company, called “PIC infraco” in Latent.Space, develops Project Horizon, an AI data center campus in West Texas.
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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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