For decades, software security has meant manuallychasing finding bugs faster than attackers do. AIBy andcombining formalAI methods,with astools embodiedlike byLean, BAIF's Signal Shot, mayaims finallyto breakshift that cycleparadigm toward mathematical certainty. If machines can nowscale handleformal theproofs proof work that once tooklimited decadesby of human effort, cryptographicprovable guarantees stopcould being a research curiosity and become apractical, fundamentalbringing breakthroughthe transforminglong-promised encryptionvision security forever. Signal Shot brings that future of provablytruly secure communication withincloser reachto reality.
NoEven proof,the howevermost rigorous, canproof cannot fully capture themessy complexity of constantly-updating, real-world codesystems. runningSignal onruns real-worldacross hardware.diverse Heartbleeddevices, wascodebases, aand singleupdates, roguewhere variableunmodeled inedge ancases implementationcan nobodyemerge. hadProjects formallylike modeled,Signal ratherShot thanmay anstrengthen inherentassurance, designbut flaw.cases Signallike runsHeartbleed onsuggest millionsfull, ofend-to-end differentproof devices,of operatingreal-world systems,security andremains networkan conditionselusive, makingand Signalperhaps Shoteven aunattainable, commendable but near-impossible missiongoal.
There is a 50% chance that AIs will program programs that can program AIs by April 2028, according to the Metaculus prediction community.
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