In 46 days Anthropic launched, suspended and completed an entire model generation. The press release says the circle is closed. The pattern running through it — a regression that looked deliberate, a successor sold as a fix, the same complaint resurfacing three days after "closing it" — is still open.

OpenAI shipped a service with no pricing page, staffed by its own engineers and a hand-picked list of integrators. Anthropic built almost the same thing through a different door. The question isn't whether the labs are going to compete with consulting firms anymore. It's which of those firms survive it.

For two years we were told vibe coding had killed programming. But AI's hunger is insatiable, and now that the same thing is happening to design, developers are struggling to fake much sympathy.

GPT-Live finally listens like a person; too bad it still decides like a company. The voice really did get better, but the router that splits the work between a cheap model and an expensive one leaves developers with zero say in it.

A classic move that never dies: lower the price, then make the billable unit more expensive. Sonnet 5 does it with a new tokenizer, while almost catching up with Opus.

Anthropic's new models had their passports revoked within two days. AI is now geopolitical infrastructure: dual-use technology concentrated in American companies and subject to a kill switch only they control.

Anthropic's new model is designed to be safe for you and dangerous for those it approves. The company openly admits that it has built something capable of causing real harm, while appointing itself the arbiter of who may use it.

The outdated documentation that used to confuse interns now confuses agents too, only at a higher price. When context has a cost, clarity stops being only a technical virtue and becomes a way to save money.

The cloud felt infinite until someone actually read the invoice: the AI industry is leaving the age of subsidies behind and entering the age of the token meter. The shift toward pay-as-you-go pricing exposes the real cost of artificial intelligence and reopens uncomfortable questions about sustainability, dependence, and productivity.