Article · Lead story
AI Is Getting Good at Math. Here’s Why.
AI models are solving more mathematical problems. A pattern is emerging in their successes that could help us predict which problems they’ll solve next.
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A little closer to the frontier.
Original analysis, the Latent Space podcast and the daily AI News briefing, for engineers building with AI.
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Meet the builders
Open the wiki705 profiles and 281 grounded writeups on the people and organisations behind the conversations.
Person
Ronen Eldan
Mathematician and coauthor of TinyStories and approximate-unlearning research, with earlier contributions to neural-network theory and high-dimensional probability.
Person
Pushmeet Kohli
Google DeepMind researcher applying machine learning to scientific problems, including protein structure prediction.
Person
John V
AI red teamer and prompt engineer whose work spans open-source security communities, structured prompting, and AI risk assessment.
Person
Yineng Zhang
Inference engineer and open-source maintainer whose work spans SGLang, FlashInfer, production model serving, and inference-team leadership.
Organization
Boltz
A public-benefit biomolecular AI company that grew from MIT research into open models, molecular-design pipelines and hosted scientific software.
Organization
Figma
A browser-based design and product development company expanding into prompt-to-app creation, design context for coding agents, and AI editing on its shared canvas.
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