#ChatGPT

AI assistants are competing for the browser differently now: instead of asking users to move, they move into the browser users already have.

As agents start to work like teams, the bottleneck shifts from model capability to how much compute each user gets.

Once interfaces can be generated on the spot for each question, the line between an app and an answer blurs, and ChatGPT is competing not just to be where people ask but to be the screen where they finish the task.

Building a separate version for minors amounts to a public promise that the safeguards will work, and every miss from here on will be measured against that promise.

Subscriptions all cost $20 and $200, so the real price war is fought over allowances nobody can see, and whoever gives more is trading gross margin for users.

Delivering speed first while allowances are being questioned answers a question only heavy users calculate with a metric everyone can feel.

The chatbot has ended up on the same road as the search engine: gather users with a free product, then sell their attention to advertisers.

A well-liked model is withdrawn in under six months, so what a subscription buys is "the current latest," not a version you can rely on for long.

OpenAI has taken the app store's discovery function first and left payment for later, and the commission rate will only come up once developers cannot do without the entry point.

In a field with as much liability as medicine, a model company would sooner be the engine inside someone else's product, and the stronger its biology gets, the more it needs a clear tiering scheme to show it is under control.

Conversation improvement still relies on human labor; anonymization, stopping future training use and deleting historical data are distinct steps that cannot replace one another.