Artificial intelligence is expensive to use, many companies discovered. That has led to a new era of saving costs. Credit...Andrea Chronopoulos Supported by By Eli Tan Reporting from San Francisco ...

In the emerging generative AI economy, tokens that measure computing usage are the currency. They'll be at the center of Anthropic's and OpenAI's efforts to go public and will be repeatedly referenced ...

In this tutorial, we work with NVIDIA’s Nemotron-Pretraining-Code-v3 dataset as a large-scale metadata index for code pretraining research. Instead of downloading the full multi-gigabyte dataset, we ...

Across the industry, companies are starting to balk at the price of AI. Uber blew through its entire 2026 AI coding budget by April. Microsoft revoked its developers’ Claude Code licenses months after ...

OpenAI's employees are spending tokens on tokens on tokens. And yet it's someone outside the company who is spending the most. The AI lab's employees are known for their high AI spending. Peter ...

Just last month, the most important metric in Silicon Valley was tokens burned—the units of measurement for the computing power being used by AI models. CEOs were giving employees the Matthew ...

AI is turning out to be more expensive than enterprises expected, and CFOs are now trading future headcount for tokens. Roughly 95% of enterprise AI still runs on the priciest frontier models even for ...

When it comes to AI, tokens are the coin of the realm. Here’s how to understand their importance to both users and AI vendors. Google has only one way to measure the phenomenal AI growth it’s seen: in ...

Some time earlier this year, an employee at tech giant Meta built a system to track how much each staff member was using artificial intelligence (AI). Named “Claudeonomics” after the Claude chatbot, ...