WHAT WE THINK1️⃣ Why US$1.5 billion is pennies for Anthropic  Why would Anthropic even want to scan all the books in the world? A shocking revelation from The Washington Post suggests that books can teach its models "how to write well," as the open internet is apparently too low-quality. This was revealed in filings from the class-action lawsuit filed by a group of authors that alleged Anthropic of infringing copyright. This led to the company paying US$1.5 billion as a settlement. This looks like a setback for Anthropic, but the settlement could still be considered a win for the company. While Anthropic paid up for how it acquired some of the books (piracy), a judge ruled that the act of training AI on them was "quintessentially transformative." So, provided the company buys the books to train its AI on, it's fair game. But that doesn't feel right. While yes, the act is legal, the fact that Anthropic is a giant corporation that has a product that hinges on the work done by these actual human writers has to matter here. Compared to the US$70 billion in revenue Anthropic is eyeing by 2028, what these authors make is minuscule. And with the valuations and funding rounds that AI companies have grown accustomed to, US$1.5 billion is chump change. 2️⃣ Hardware bets are off China has reportedly approved the first batch of imports for Nvidia's H200 AI chips. This stance shift was made to help meet the compute needs of Chinese companies. But there's a catch: China still requires local firms to reach a quota of domestic chip orders before getting approved to purchase Nvidia's hardware. Right now, the US gets the tax revenue, Nvidia gets the sales, and China gets the computing power. Win-win-win. But everyone knows that the moment China's domestic chips are "close enough," the country will kill the Nvidia deal. Or the moment China gets too close to the "frontier," the US will pull the plug and dangle its top-shelf hardware in front of its Eastern neighbors once again. It's just a matter of what happens first. |