Reports that a $100 billion compute pact is on hold, alongside conditional approval for H200 chip sales, show how hardware policy is setting the pace for AI scale. At the same time, engineering leaders are formalizing guardrails for model-written code and debating how 100% automation affects learning, while growing concerns over AI intimacy and identity push data rights and consent to the forefront.
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