Why building big AIs costs billions – and how Chinese startup DeepSeek dramatically changed the calculus
A machine learning expert breaks down where the money goes in building big AIs, and how DeepSeek found ways to do it far more cheaply.
A machine learning expert breaks down where the money goes in building big AIs, and how DeepSeek found ways to do it far more cheaply.
The narrative that OpenAI, Microsoft, and freshly minted White House “AI czar” David Sacks are now pushing to explain why DeepSeek was able to create a large language model that outpaces OpenAI’s while spending orders of magnitude less money and using older chips is that DeepSeek used OpenAI’s data unfairly and without compensation. Sound familiar?…
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We start this week with Emanuel’s rundown on the DeepSeek situation, the Chinese-made AI that has rocked stock markets and the wider AI industry. After the break, Sam explains how metadata in U.S. government memos lists Project 2025 members as the memo authors. In the subscribers-only section, Jason and Sam explain how GitHub is showing…