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AI labs quietly probe whether models can break encryption

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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This brief comes from Tech Twitter’s edited headlines. The posts below are the sources grouped with the story; statements in them belong to their authors.

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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 Austin
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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...
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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?"
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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.
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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 decades
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How the headline evolved

  1. AI labs quietly probe whether models can break encryption

  2. AI labs are quietly testing whether models can break encryption

  3. AI labs are quietly testing whether models can break encryption

  4. AI labs are quietly testing whether models can break encryption

  5. AI labs quietly test whether models can break encryption

  6. AI labs quietly test whether their models can break encryption

  7. AI labs are quietly testing whether models can break encryption

  8. AI labs are quietly testing whether models can break encryption

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