Bitcoin DNA in AI or the Mirage of Decentralized Intelligence

The Bitcoin blueprint—decentralized trust, transparent incentives, scarcity baked into the code—has inspired a lot more than digital money. Some researchers have tried to transplant the blueprint into the realm of artificial intelligence, hoping to build a decentralized marketplace for models, evaluations, and compute. The paper we’re looking at today asks a simple, stubborn question: does…

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Can external trial controls ever be trusted again?

Highlights A new statistical approach makes externally controlled single-arm trials more trustworthy by marrying two ideas: balancing covariates to mimic a randomized comparison, and modeling outcomes to guard against misspecification. The result is a doubly robust method that performs well when either the covariate balance model or the outcome model is correct, improving precision and…

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A New Window into Toric Geometry’s Derived World

The study of toric varieties has long inhabited the crosscurrents of geometry, combinatorics, and algebra. In this story, symmetry serves as a guide through the labyrinth of derived categories—the library of all coherent sheaves that encode geometric information. Xiaodong Yi’s new work builds on Bondal’s conjecture and adds a flexible twist: a generalized Thomsen collection…

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AI Can’t Handle a Simple Interruption

The Uncanny Valley of Conversation: Why Even the Best AI Struggles with Interruptions We’ve all been there. Mid-sentence, a friend chimes in, a question pops into your head, or a sudden noise distracts you. Human conversation is a messy, beautiful dance of interruptions, digressions, and overlapping speech. But for AI, even the most advanced conversational…

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