Nvidia CEO Jensen Huang famously said in March this year that if an Nvidia engineer on $500,000 a year wasn't using at least $250,000 of tokens in that same period, he'd be alarmed. This isn't a rare sentiment, though. Many company CEOs are now bragging about the extent of their AI use, as if that alone equates to performance increases. As Business Insider reports, Airbnb's CEO proudly told investors that 60% of the company's code was now AI-generated. Chime claimed it was shipping 84% AI code earlier this year, and even Google is claiming 50% of its code is AI-generated (though crucially, alw
Antrhopic Before I get to Anthropic's specific policies, let's talk about why AI rate limits exist in the first place. When you type a prompt into a chatbot, a process called inference occurs. Behind the scenes, a large language model is applying the patterns it learned in training to an input it hasn't seen before. Inference is computationally expensive and, more importantly, there's no natural ceiling in terms of cost. As an AI company, you have a love-hate relationship with your most engaged users because, without putting restrictions on them, they can cost you thousands of dollars in proce