The Korea Times
CHICAGO — Artificial intelligence (AI) tools will undoubtedly transform the nature of work. Large language models can already generate referee reports on my own research papers that rival those by human referees. Unlike humans, who are always pressed for time, an LLM “knows” or can access much more of the literature in an instant, and often exhibits fewer biases. AI points out my analytical weaknesses, checks proofs, and makes suggestions for improvement. Only rarely are human reports better, typically because they connect the dots and offer new insights. Nonetheless, the market euphoria around AI has become worrisome, especially given the extent of large-scale debt issuance by the sector. It is therefore worth considering where in the AI supply chain things could go wrong. The supply chain starts with producers and designers of AI infrastructure: firms like TSMC and Samsung, which fabricate chips; Nvidia, which designs them; and Cisco, which provides connectivity. Then come the hyperscalers like Amazon, Google, and Microsoft. They are building data centers both for the use of th
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