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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 ...
Three major AI models launched in a single afternoon (Claude Opus 5.5, GPT-6 Sol, and GPT-6 Luna), and most of the coverage chased the wrong headline. In this episode, host Emily Laird cuts through the release-day theater to show why the cheapest model may matter most, with Luna matching an olde ...
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 yo ...
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 c ...
Penafian: Podcast dan karya seni yang dibenamkan pada halaman ini adalah daripada Emily Laird, yang merupakan hak milik pemiliknya dan tidak bergabung dengan atau disokong oleh Listen Notes, Inc.