AINave Daily

The economics of agents, from Anthropic's S-1 to GPT-6.1 Terra

A public S-1 from Anthropic puts numbers on frontier AI for the first time: $16.3 billion in first-half revenue, an $80.7 billion net loss driven mostly by noncash charges, and hundreds of billions in compute commitments. On the same day, OpenAI made computer-use agents cheaper with GPT-6.1 Terra, priced at $1 and $5 per million tokens, and former GitHub CEO Thomas Dohmke launched Entire, a Git forge built for the volume of code that agents push. Cost is a theme across the day, from Anthropic's case for single agents over sub-agent fleets to Tsinghua's AKV cache server. Here are the 3 stories that matter most, then 17 briefs.

By Ramit Koul