Summary
- More than three dozen bitcoin and crypto firms are urging major AI labs to give open-source security researchers early access to their most powerful models, arguing defenders are using weaker tools than attackers.
- The letter, organized by the Bitcoin Policy Institute and signed by companies including Coinbase, Block and ARK Invest, says Bitcoin Core developers are locked out of trusted-partner programs and hampered by safety filters on public models.
- Recent exploits against BTCPay Server and Lightning nodes, uncovered in part by an AI-powered volunteer “Bitcoin Red Team,” underscore the signatories’ call for early model access, compute resources, secure testing environments and direct channels to lab security teams.
Bitcoin Security in Jeopardy
The security of the bitcoin network is at risk due to the limited access to advanced AI tools for its defenders. More than three dozen bitcoin and crypto companies, including Coinbase, Block, and BitGo, have requested that AI labs provide open-source security researchers with early access to their most capable models. This is because the current tools used by defenders are weaker than those used by attackers, putting a trillion dollars of infrastructure at risk.
The Bitcoin Policy Institute has organized a letter, signed by several major companies and nonprofit developer funds, to address this issue. The letter highlights that Bitcoin Core developers, who maintain the software that runs the network, cannot access the AI labs’ programs, which are only available to trusted security partners. As a result, they are forced to use publicly available models, which have safety filters that block efforts to find flaws before criminals do.
A Call for Equal Access
The companies are calling for equal access to the AI tools, arguing that attackers already have access to the same capabilities through various means. The letter states that the AI labs and their partners can see new offensive capabilities months before anyone else, while the defenders are left with limited and less capable tools. This imbalance puts the entire network at risk, and the companies are urging the AI labs to provide them with the same tools to level the playing field.
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Attackers face none of those constraints. The letter said the labs and a handful of partners can see new offensive capabilities months before anyone else. In contrast, those capabilities spread anyway through public models, stolen access to corporate systems and purpose-built hacking tools.
