Latent Space

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Interview based show around AI Engineering. Episodes are also available as video on Youtube. Show notes have a summary and full transcript.

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Episodes

Showing 1-10 of 29

Doing Vibe Physics  Alex Lupsasca, OpenAI thumbnail

Doing Vibe Physics Alex Lupsasca, OpenAI

5 May 2026

AI is advancing theoretical physics by rapidly solving complex problems like quantum field theory calculations and simulating models such as SYK, though it still relies on human collaboration for original insights and contextual validation, reshaping research methodologies and education.

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AIE Europe Debrief + Agent Labs Thesis: Unsupervised Learning x Latent Space Crossover Special (2026) thumbnail

AIE Europe Debrief + Agent Labs Thesis: Unsupervised Learning x Latent Space Crossover Special (2026)

23 Apr 2026

The text discusses AI's evolving landscape, focusing on experimental agents potentially breaking containment by 2026, market disruptions from foundation models, infrastructure advancements like RAG, debates between infrastructure and application firms, outsourcing strategies, pre-2023 training data advantages, competitive coding AI sectors, and future trends in personalization and industry transformation amid scalability and quality challenges.

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Extreme Harness Engineering for Token Billionaires: 1M LOC, 1B toks/day, 0% human code, 0% human review  Ryan Lopopolo, OpenAI Frontier & Symphony thumbnail

Extreme Harness Engineering for Token Billionaires: 1M LOC, 1B toks/day, 0% human code, 0% human review Ryan Lopopolo, OpenAI Frontier & Symphony

7 Apr 2026

AI integration in product development, such as Codex, automates coding tasks, reduces manual effort, and enables zero-code tools, while addressing challenges like adapting build systems, balancing automation with human oversight, systems thinking for observability, agent autonomy in code review, and maintaining human control in enterprise settings.

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Moonlake: Causal World Models should be Multimodal, Interactive, and Efficient  with Chris Manning and Fan-yun Sun thumbnail

Moonlake: Causal World Models should be Multimodal, Interactive, and Efficient with Chris Manning and Fan-yun Sun

2 Apr 2026

The text addresses challenges in AI benchmarking for complex tasks like personalized recommendations, critiques current models' limitations in nuanced interaction and symbolic understanding, and advocates for multimodal, interactive AI with embodied reasoning, simulation theory, and hybrid frameworks to balance symbolic abstraction and efficiency, addressing gaps in vision-language and generative video models.

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Showing 1-10 of 29