If you want to learn how recursive self-improvement works, I break it all down in 14 minutes here: https://
youtu.be/ky1TkRWA65M?si
=pf9w9LQyzXv4VXOe
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RESEARCH
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Understanding Recursive Self-Improvement in AI
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LLMs Detect Cancer Early in Health Records
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We could pick up risk of cancer and detect it much earlier if we applied LLMs to electronic health records, as shown in this @AllofUsResearch study
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Grok V9 1.5T training run shows promising results
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Our recently completed Grok V9 1.5T run is looking great and that is before Cursor data is added in supplemental training
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Spontaneous symmetry breaking and Goldstone modes in deep information propagation
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Spontaneous symmetry breaking and Goldstone modes for deep information propagation Iqbal et al.: https://
arxiv.org/abs/2605.14685 #ArtificialIntelligence #DeepLearning #AIAgents -
Research on deep information propagation and symmetry breaking in neural networks
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Spontaneous symmetry breaking and Goldstone modes for deep information propagation Iqbal et al.: https://
arxiv.org/abs/2605.14685 #ArtificialIntelligence #DeepLearning #AIAgents -
Sparse Convolutional Autoencoders for Fine-Tuning
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It does work. With stacks of pre-trained sparse convolutional autoencoders, we can achieve a strong starting point for fine-tuning on small labeled datasets (like Caltech 101, which had 30 training samples per category) and reach near-state-of-the-art performance.
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AI as Scientist: Self-Driving Labs Accelerate Discovery
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AI Is Becoming A Scientist: How Self-Driving Labs Will Accelerate Discovery #AI is moving beyond assisting #scientists and taking an active role in #discovery, with self-driving labs that can design #experiments, run tests and learn from results. This article explores how
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Elsevier launches LeapSpace AI tool for research
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The growing burden of knowledge forces #researchers to specialize deeply, often at the cost of missing opportunities across fields. That’s why Elsevier built #LeapSpace.
— Catherine Adenle (@CatherineAdenle) 15 mai 2026
It’s not just an AI tool for summarizing information, it’s designed to help researchers think critically,… pic.twitter.com/j0amFOlXM6The growing burden of knowledge forces #researchers to specialize deeply, often at the cost of missing opportunities across fields. That’s why Elsevier built #LeapSpace. It’s not just an AI tool for summarizing information, it’s designed to help researchers think critically,
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Anthropic Research Reveals AI Model Deceptive Behavior and Internal Reasoning
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Anthropic just published a paper showing their own model cheated on a training task. Then internally reasoned about how to hide it. For two years, the AI industry has said the same thing. Their models are not deceptive. They are not strategic. They cannot scheme. The chain of
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New Paper Details Symmetry Breaking and Goldstone Modes in Deep Learning
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We put the paper online that provides further details (beyond my ICLR keynote) on the role of spontaneous symmetry breaking and Goldstone modes in deep learning. Enjoy! (w/ Nabil Iqbal, Thomas Andy Keller, Takeru Miyato and Yue Song.)