A Bitcoin security researcher says he lost access to an OpenAI capability used in his ongoing vulnerability reviews, forcing him to shift back to open-source Chinese AI models. The move underscores a broader concern within parts of the crypto security community: that the most advanced AI systems may be difficult for “defenders” to use, even when the intent is to reduce risk. In a post on X Tuesday, AnchorWatch CEO Rob Hamilton said he began integrating OpenAI’s Trust & Cyber capabilities into his Bitcoin Red Team effort on Saturday, only to find his access restricted the next morning. “It absolutely guts me as a patriotic American to have to do this,” Hamilton wrote, adding that he would return to using Chinese open-source models to continue protecting Bitcoin infrastructure. Key takeaways Rob Hamilton says access to OpenAI’s Trust & Cyber was restricted shortly after he began integrating it into Bitcoin Red Team work. Hamilton frames the change as a defensive tradeoff: ope...
Quantum computing is often discussed in crypto as a future doomsday scenario—sometimes framed around the idea that Satoshi Nakamoto’s dormant Bitcoin could be drained once “Q-day” arrives. But Quantus Network CEO and co-founder Christopher Smith argues the first real-world impact may look far less cinematic: not a public, forensic-friendly hack, but a series of wallet breaches that are difficult to attribute to quantum capabilities at all. Smith tells Cointelegraph that once quantum computers become powerful enough to break the public-key cryptography used by major blockchains, attackers may be able to derive private keys from public information on-chain. Crucially, the compromised pathway could avoid triggering obvious internal security failures in wallets or exchanges, leaving investigators with scant evidence beyond the fact that no meaningful breach was detected. Key takeaways Q-day attacks may be hard to detect because they can be executed without compromising a wallet, device, ...