The Limits of Trust
Trusting AI to deliver perfect solutions can be misleading; even a 95% accurate output requires human intervention for the remaining 5%. As AI-generated code proliferates, the potential for increased security vulnerabilities rises, outpacing the number of experts available to address them. This growing landscape of code could lead to a significant rise in both the quantity and quality of errors, raising concerns about the future of software security.In this clip
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Machine Learning Street Talk (MLST)
Nicholas Carlini (Google DeepMind)
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