Mo Bitar on AI Security and Model Weight Research

Less Bitter2h 17m
Mo Bitar in a light blue T-shirt beside the blue and white headline AI Security Risks on black.
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    Mo Bitar reacts to a reported cryptocurrency security incident and discusses social engineering, software dependenciesSoftware supply chain security protects the dependencies, tools and delivery processes used to build and distribute software, including AI applications. and the possible role of AI tools. His speculation about the attack and broader risks is presented as opinion rather than independently established fact.

    Mo Bitar reviews claims that language models can inspect or edit neural-network weightsWeight space learning treats the trained numerical parameters of neural networks as data a system can analyze, predict or transform., then considers criticism that some experiments use feedback and techniques available to human researchers. He treats the work as interesting while questioning stronger claims about its novelty.

    Mo Bitar experiments with AI-generated music and comments on the difference between technically coherent output and a distinctive creative style. His assessments are subjective and based on his own examples.

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    Video topic coverage

    • Agents & workflows0
    • Coding & tools34.1
    • Models & learning100
    • Infrastructure & compute0
    • Research & evaluation92.7
    • Safety & security95.1
    • Business & productivity0
    • Creative & media76.8
    • Robotics & perception0
    • Society & policy0

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    Mo Bitar in a light blue T-shirt beside the blue and white headline AI Security Risks on black. With WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 3 November 2026 and duration 2h 17m.

    Mo Bitar discusses security risks, research on editing model weights and his experiments with AI-generated music.