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One company supplies the chips, helps finance the buyers, and has spent decades following one CEO’s lead. What happens when all three arrangements come under pressure at once?
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What happens when the person holding together a critical company suddenly looks like its biggest governance risk?
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A chip company faces questions about influence. AI agents can look healthy while failing completely. And on a drone-covered battlefield, soldiers still have to take and hold ground.
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A few active neurons can carry a surprising amount of work. A design agent can improve its own drafts. And an allegation around NVIDIA could reshape a policy argument before anyone proves it.
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A chip company’s CEO faces an investigation, frontier labs are testing trillion-dollar price tags, and agents can finish complex work while getting the crucial decision wrong.
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A video can become a weekly software pipeline. An AI lab can report an $81 billion loss while describing strong operating margins. Both claims make more sense once you inspect what’s actually being measured.
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An AI can predict what a cell looks like, and a company can build a data center. The harder questions come next: can the model predict an intervention, and will the community accept the facility?
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A data center can promise jobs and still leave its neighbors asking a sharper question: who pays for the power?
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An AI agent can look astonishing in a demo and still fail the test that matters: can someone afford to keep using it?
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A polished AI draft can save its sender an hour and cost its reader two. A convincing account of machine consciousness poses a different problem: how would we know whether anything experienced it?
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From the publisher's feed
Recapping the latest AI news in less than ten minutes a week. Let the machine skim for you.
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