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What is Test-Time Compute?

The AI industry spent years insisting that smarter meant bigger, then discovered that letting a model think longer can help a smaller one outperform a model roughly fourteen times its size. In this episode, host Emily Laird breaks down test-time compute (the extra reasoning a model does after you h…
On this episode of Generative AI 101, host Emily Laird looks at Jensen Huang's sit-down with Ezra Klein, where the Nvidia CEO shrugged off forgetting basic math, called Geoffrey Hinton's warnings irresponsible, and then proposed shutting down any lab that can't contain its own experiments. The catc…
Anthropic's leaked IPO prospectus reveals a $42 billion loss, a two-trillion-dollar valuation, and $518 billion in take-or-pay computing contracts it owes whether it uses them or not. In this episode, host Emily Laird reads the fine print: why most of that loss is an accounting charge, what the wor…
Thursday, January 8, 2026 9:28 AM Most people use generative AI like a search bar, type two vague words into the box, and then blame the model when it hands back beige, forgettable text. In this episode, host Emily Laird makes the case for treating AI like a colleague who needs a real assignment:…
Zastrzeżenie: Podcast i grafika osadzone na tej stronie pochodzą z Emily Laird, który jest własnością jego właściciela i nie jest powiązany ani wspierany przez Listen Notes, Inc.