what happens when you combine thousands of plasma proteins and AI?
AI
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From AGI to ASI: definition by Google DeepMind
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This article by Google DeepMind defines how AGI is a unique human-level general system, and ASI is a system or collective that surpasses large expert human organizations in almost everything. They argue that the leap could
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Mistral’s struggle to keep pace with Big Three and Chinese labs
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Has there been anything good written about the failure of Mistral to keep up with both the Big Three and Chinese labs? They have talent and national backing, but despite being Europe’s only frontier lab (Google Deepmind’s UK lab aside), they haven’t been able to close the gap
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MiniMax Sparse Attention: index selects k KV blocks per group
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This article from Minimax adds a small Index Branch to GQA that selects the k most relevant KV blocks per group, then executes an exact softmax only on these blocks, making sparsity native to the GPU, with an exp-free TopK and kernels.
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Jailbroken models require better tech and fair enforcement
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Every model has been jailbroken. We need better tech. But not selective enforcement.
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Amazon CEO warned Trump officials about Claude security risks
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It was in fact Amazon (CEO Andy Jassy) who reportedly helped trigger the Claude shutdown. Via The Information Amazon CEO Andy Jassy reportedly warned senior Trump administration officials about security risks in Anthropic’s newest Claude models, helping trigger late-night export
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Proven AI for Colonoscopy and Mammography Unused
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AI for colonoscopy and mammography are the best proven successes of medical AI, through randomized trials and real-world studies, yet they are not being used. But what is widely adapted is the unproven stuff. https://
erictopol.substack.com/p/the-paradox-
of-medical-ai-implementation
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AI models fail simple long tasks despite passing exams and olympiads
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8/ It fits a pattern researchers keep hitting. The models that pass medical exams and win math olympiads still fall apart on simple tasks once those tasks run long. Source: Patel, Wang, Fan. PNAS Nexus, 2026.
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Color game reveals models’ inability to maintain focus over long input
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7/ This is why a color game matters. The models still had the knowledge. What they lacked was the ability to hold focus and resist a pull across a long stretch of input. That gap is the finding.
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AI models default to reading over naming colors
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6/ The cause is in how these models are built. They were trained on text, so reading words is their strongest instinct. Naming the color means fighting that instinct. A human brain can suppress the urge. The model defaults to reading.