55: Wise of the Machines (with Sina Fazelpour)
How can we make AI wiser? And could AI make us wiser in return? Sina Fazelpour joins Igor and Charles to discuss the problem of bias in algorithms, how we might make machine learning systems more diverse, and the thorny challenge of alignment. Igor considers whether interacting with AIs might help …
Artificial Analysis: Independent LLM Evals as a Service — with George Cameron and Micah-Hill Smith
Happy New Year! You may have noticed that in 2025 we had moved toward YouTube as our primary podcasting platform. As we’ll explain in the next State of Latent Space post, we’ll be doubling down on Substack again and improving the experience for the over 100,000 of you who look out for our emails an…
Unsupervised Learning x Latent Space Crossover Special
If you’re in SF: Join us for the Claude Plays Pokemon hackathon this Sunday!
If you’re not: Fill out the 2025 State of AI Eng survey for $250 in Amazon cards!
Unsupervised Learning is a podcast that interviews the sharpest minds in AI about what’s real today, what will be real in the future and wha…
China is winning the AI Adoption War. We Just Haven't Admitted It Yet.
In 2025, the AI race quietly split in two: one for building the smartest model, and another for getting everyone to use yours. Chinese labs chose the second race — and the data says they're winning. Dale and Nick break down how DeepSeek, Alibaba, and Kimi captured developers, startups, and soon ent…
The inevitable need for an open model consortium
Recently, I was talking with Percy Liang, Stanford professor and lead of the Marin project (another fully-open model lab), and it set in on me that there will eventually be a consortium of companies funding a foundational set of open models used across industry. It’s not clear when this’ll emerge, …
The Code Inside the Code
[HOST] A leaked source code file from Claude Code reveals that the biggest AI coding tool isn’t pure deep learning at all — it’s a neurosymbolic hybrid with classical AI at its core. Meanwhile, NASA’s Artemis II crew returns from the Moon running on AWS, and a quiet movement to build an open model …
Your AI Chats Aren't Private (And How "Unlinkable Inference" Can Help)
Ken Liu (Computer Science PhD at the Stanford AI Lab) and Erik Chi (CS PhD at UMich) are the Creators of the Open Anonymity Project, which lets people prove things about themselves online without revealing their identity. In this episode we explore what it means for AI systems to "know" you; why to…
HN Daily - June 1, 2026
Monday roundup:
Instagram AI support bot lets attackers reset any account with a username and a VPN
Red Hat npm packages compromised in a supply chain attack hitting 30+ libraries
Anthropic files a confidential draft S-1 with the SEC, three days after its $65B Series H
Stanford CS336 + Claude.…
Simulation: the new Scaling Law — Joon Sung Park, Simile AI
When we first dicsussed the Summer of Simulative AI in 2024 we knew it would be a brief summer, but it has recently come back with a vengeance with SimGym in April and now Simile AI’s $2B Series B, backed by GreenOaks and Index Ventures with prominent backers like Fei-Fei Li and Andrej Karpathy, ru…
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