Alex Stamos joins Leo Laporte, Paris Martineau and Jeff Jarvis to discuss model securityAI safety is the field and practice of reducing harmful failures, misuse, loss of control, and unintended consequences from AI systems., access restrictions and their potential effect on users and developers. Stamos offers his own interpretation of reported security testing and its implications.
After the interview, the hosts examine competing accounts of the decisions and discuss public concerns about data centersAI compute infrastructure is the hardware, facilities, networks, power, cooling, storage, and software used to train and run AI models., AI governanceGovernance sets responsibilities, rules and oversight for decisions about how AI systems are used. and the limits of safeguards. They distinguish reporting from their own speculation.
The episode also considers data use in geospatial systems and selected technology news. Political interpretations and predictions in the discussion are the participants’ views.
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