Matthew Green
Strong support
Cryptography professor engaging substantively on AI threats to post-quantum schemes and RNG vulnerabilities.
Worth knowing
- Recent posts shifted from Cryptanalysis, Paulg, Better toward Halvarflake, House, Julianor; read this as a snapshot of the current Cryptography research direction.
How Trust Cue rated them
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Subject depth Strong
Posts distinguish between theoretical attacks (HAWK vs. Falcon) and practical deployment risk with technical precision, demonstrating mastery beyond surface-level summaries.
Engagement moves beyond surface-level description into mechanistic details of cryptographic weaknesses, implementation vulnerabilities, and threat scenarios req
Quoted from public posts on X
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Original framing Partly
Mostly original commentary on Anthropic results and entropy verification, though the primary cryptanalysis thread was prompted by others asking for expert reaction rather than self-initiated.
Provides independent technical assessment of published results (e.g., Anthropic cryptanalysis), reframing their implications rather than merely relaying announc
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Sticks to the facts Strong
Consistently hedges claims—noting results are 'not a step change' and acknowledging that verification difficulty and lattice-based crypto's understudied nature create genuine epistemic constraints.
Accurately distinguishes between theoretical attacks on undeployed schemes (HAWK) and practical threats; acknowledges uncertainty in LLM cryptanalysis quality v
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Upfront about their stake Strong
No financial incentive or commercial product promotion detected; textbook chapter disclosed as work-in-progress educational material with no monetization pressure shaping arguments.
Views presented as those of an established academic researcher with no visible financial incentive to hype results; openly critical of both AI safety concerns a
Quoted from public posts on X
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Who engages with them Partly
Engages substantively with domain-relevant cryptographers and security researchers, though some high-follower respondents (e.g., @paulg) fall outside the specialty.
Posts demonstrate familiarity with active researchers (replies to @halvarflake, @paulg, @WatsonLadd) and reference to standard research venues (STOC/FOCS); cite
Frozen sample snapshot · captured 53 days ago from 49 posts · does not update automatically
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