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Marble turns text and images into editable 3D scenes. Its camera control makes that useful today; learning how worlds behave remains a larger challenge.
A July 2023 conversation between Latent Space and Practical AI explores what turns model capabilities into useful systems: operations, evaluation, local data, customization and user experience.
How model size, data quality, human preferences, and tool use shaped Llama—and the research still needed to make agents more capable.
Agents can assemble financial research faster than an analyst can, but judgment, market regimes, and trusted data still matter. Part 2 of 3 follows a forecasting experiment into the economics of AI infrastructure and Microsoft’s software dilemma.
Fast experiments, reproducible trials, changing inputs, and production feedback belong in the same engineering workflow.
Part 3 of 3 follows the closing Q&A, research AMA recap, and two demos: reasoning limits, immigration drafting, and a prototype that turns o1’s plans into executable code.
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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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