Large genome model: Open source AI trained on trillions of bases

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Sheriff Hall testified again. His sense of betrayal had not subsided. “As a person who’s spent thirty-five years believing the criminal-justice system should provide better opportunities and second chances, I stand before the court asking for neither,” he said. Describing the danger Friedmann had put his staff in, he choked up. “Friedmann has had second chances and deserves no more.”

Consider what happens at scale. A single bug in OpenSSL — Heartbleed — exposed the private communications of millions of users, survived two years of code review, and cost the industry hundreds of millions of dollars to remediate. That was one bug, introduced by one human, in one library. AI is now generating code at a thousand times the speed, across every layer of the software stack, and the defenses we relied on (code review, testing, manual inspection) are the same ones that missed Heartbleed for two years.

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