When AI Makes Execution Cheap, Verification Captures the Value
As agentic execution gets cheaper, verification becomes the scarce production input. A new model traces value toward ground truth, provenance, and liability.
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As agentic execution gets cheaper, verification becomes the scarce production input. A new model traces value toward ground truth, provenance, and liability.
Matt Fredrikson is an associate professor at Carnegie Mellon University and the CEO of Gray Swan AI, where his research examines the intersection of formal methods, privacy, and machine learning security.
Zico Kolter is a professor and the head of the Machine Learning Department at Carnegie Mellon University, a board member at OpenAI, and co founder of the AI security startup Gray Swan.
Richard Dickson has built a career returning legacy consumer brands to the cultural mainstream. As CEO of Gap Inc. and former President and COO of Mattel, he updates core products by tying them directly to pop culture.
Guillaume Lample is a co founder and Chief Scientist of Mistral AI, and previously an AI researcher at Meta who led the development of the LLaMA language models.
Kyle Daigle spent over a decade building GitHub's platform and APIs after starting his career as a self taught teenage developer.
How AI service businesses should treat advancing models as market expanders rather than threats. New model releases threaten to commoditize orchestration and retrieval for AI service businesses.
Philip Kiely is a software engineer and developer relations professional focused on technical writing and AI infrastructure. He wrote Writing for Software Developers straight out of college and recently published Inference Engineering based on his time at Baseten.