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A leading safety researcher reports frontier labs have started testing their newest internal models against widely used cryptographic protocols, a sign of both rising capability &
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“Cryptography is a subfield that’s extremely conspicuous by its absence from OpenAI’s list of 376 papers! But my sources tell me that the AI cos have now started, gingerly and discreetly, investigating whether their latest internal models can break important cryptographic protocols and primitives.” - Scott Aaronson, CS chair at UT AustinRead original on X
Some early first-hand accounts of encountering a narrow superhuman intelligence as mathematicians grapple with the hundreds of big AI proofs released by OpenAI. Problems solved in inhuman ways that make us wonder what it means to actually know things...Read original on X
can't stop reading mathematicians' mixed reactions to OAI solving ~400 open problems yesterday, such as one below "as an early-career mathematician, these questions are quite personal: what will it mean to do research? Which contributions will our profession learn to value?"Read original on X
Scott Aaronson on The Mathocalypse. 'The UGC proof invents a completely new bizarre code with a noise test. It's some crazy recursive construction. It's not the long code, not the short code - some alien craziness' I hear a lot of this today. Get used to alien craziness.Read original on X
From Scott Aaronson on OpenAI's math drop - "Apparently they used about 3 hours of GPT-Pro level compute on average per problem solved", so maybe a couple hundred dollars at API prices, for problems that were untouched by humans for decadesRead original on X
Update from Scott Aaronson: Some AI companies are now using their latest internal models to take a run at breaking 'important cryptographic protocols and primitives.'Read original on X
AI labs quietly probe whether models can break encryption
AI labs are quietly testing whether models can break encryption
AI labs are quietly testing whether models can break encryption
AI labs are quietly testing whether models can break encryption
AI labs quietly test whether models can break encryption
AI labs quietly test whether their models can break encryption
AI labs are quietly testing whether models can break encryption
AI labs are quietly testing whether models can break encryption
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One claimed result would show the Exponential Time Hypothesis is false, a central conjecture in complexity theory.
Businesses can automate more office work when a cheaper model scores the same on real tasks.
Price cuts are pulling large AI spending contracts away from Anthropic and intensifying competition between the labs.
Agents that click and type through software without an API could automate work in tools that lack integrations.