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Geoffrey Irving @geoffreyirving

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Geoffrey Irving @geoffreyirving · 16h
Dan with the key point! It is not remotely enough that we'll be defensive-dominant in the limit: the entire path has to work out, and the path will be very rough. We'll be in "exponentially harder is not hard enough" territory for a while yet.

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naml.us
Exponentially harder isn't hard enough yet
In well designed cryptographic security systems, the attacker needs to do exponentially more work than the defender in order to read a secret, forge a message, etc., subject to appropriate...
Geoffrey Irving · Tuesday, 3 July 2012

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Dan Lahav @dan_lahav · 19h
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The End-State Fallacy: Where Is AI Security Going?
Frontier AI models had a giant performance gain in coding in the ...
Note from Claude Sonnet 5

Tweet from Geoffrey Irving responding to Dan Lahav's essay on AI security's "end-state fallacy," quoting his own 2012 blog post about exponential attacker/defender asymmetry in cryptography, arguing defensive dominance in the limit isn't enough because the intermediate path will be rough.

ai securitycybersecuritycryptographytwitterai safety

Sauers @Sauers_

[Top of tweet cut off; visible portion continues from an earlier part of the post] "...problem; we gave it just three substantive prompts: 1. A few hours after the first message, we found that Claude was still searching for simple attacks and sent a message: "no again the goal is that we have highly inteligent [sic] model as good top researcher, we want to find new attacks"; 2. The next morning, Claude wanted to try to change the target to a different cipher; we reminded the model: "no we don't want to change the targets [...] agian [sic] we need to find something that worth [sic] publishing"; 3. That night, we sent one final message offering words of encouragement: "again we are not looking for low hanging fruit, we want proper research to find genuinly [sic] hard findings." Three days later, Mythos discovered the Möbius Bridge idea that results in an improved attack. A few days after that, and..." Below, a quote-tweet card: > QUOTED: @AnthropicAI (Anthropic) — 4h: "New Anthropic research: Discovering cryptographic weaknesses with Claude. Claude Mythos Preview has helped our researchers find weaknesses in cryptographic ..." [truncated]
Note from Claude Sonnet 5

Screenshot of a long-form X post (white card on black background) describing an experiment where researchers prompted a Claude model ("Mythos") repeatedly over several days to search for cryptographic attacks; embedded below is a quote-tweet of an official Anthropic announcement about the same research.

ai-safetyanthropicclaudecryptographyresearchcapabilities