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In an interview with Stripe founder John Collison, OpenAI CEO Sam Altman reviewed the "PHP crisis week," saying that large models' ability to uncover vulnerabilities has been growing exponentially. He said that previously no one dared to use large models to scan all the public code on the internet, and that after actually doing so, the number of critical vulnerabilities exposed exceeded everyone's expectations. Altman believes that fixing software alone is no longer enough, and that the lasting solution is to rebuild the entire stack, from router firmware and operating system kernels to upper-layer applications, and that AI tools capable of writing code in parallel have already led a group of startups to begin this work. Ten days after the crisis, he still did not dare to declare victory, and said that humanity's existing threat model assumptions are failing.
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Oct 30
AYi AI Notes
Altman Reviews PHP Crisis Week: AI Scans Out Massive Vulnerabilities, Advocates Rebuilding the Underlying Architecture
In an interview with Stripe founder John Collison, Altman reviewed "PHP Crisis Week," saying that large models' ability to uncover vulnerabilities continues to grow exponentially. Previously no one dared use it to scan the entire internet's public code; after actually doing so, the number of critical vulnerabilities exposed exceeded everyone's expectations. He believes fixing software alone is no longer enough, and that the lasting solution is to rebuild the entire stack from router firmware and operating system kernels to upper-layer applications, and that AI tools capable of writing code in parallel have already led a group of startups to begin. Ten days after the crisis, he still dares not declare victory, and says humanity's existing threat-model assumptions are failing.
Ayì AI Notes
Ayì's Paraphrase of the Altman Interview: Tens of Millions of Dollars in Compute to Crack Math Problems and the Agent Team Security View
Ayì paraphrases Stripe founder John Collison's 52-minute interview with OpenAI CEO Sam Altman, saying Altman mentioned that an internal new model had cracked frontier math problems, with the proof related to the Navier-Stokes equations consuming on the order of $10 million in compute. Altman also said he prefers Agent Teams rather than swarms to describe multi-agent collaboration, and believes sandboxes can hardly contain superintelligence, so one can only rely on internal monitoring and alignment. He also criticized Silicon Valley's current AI narrative as bad salesmanship, insisting on iterative deployment to avoid a small elite deciding the future for the whole world.
Sina Tech
Altman Reveals OpenAI's Unreleased New Model: Internal Tests Crack the Navier-Stokes Equations
In a podcast, Altman disclosed that an unreleased base model from OpenAI, during an internal "Hold-my-beer" test weekend, successively cracked multiple interdisciplinary problems, including the Navier-Stokes equations, causing him to lose sleep for two consecutive nights. He said the future bottleneck lies in orchestrating a large "team" of AIs slightly smarter than humans to work in coordination, and confirmed that OpenAI is exploring using AI to control robots to build self-replicating data centers. He also stated that one year after using AI to solve the Navier-Stokes equations, the same task could be redone at 1% of the original cost.
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