While the technology is indeed incredible, the question is not whether someone, somewhere, will find it useful for something, but whether the sorts of things it's useful for will economically justify the massive expenditure in both financial and human capital this trend is currently soaking up.
E.g. if "undergraduate-level reports" were something there was a mass market for, the economics of university education would be pretty different. And the same goes for idle searches, sycophantic therapizing, blog article generation, and toy code development: there is a solid user base while costs are free or low, but that says little about whether there is an appetite to pay for these tools, especially if the prices are commensurate with the cost of operation.
I think you’re fixating on the specific example that I cited rather than imagining the possibilities of the technology. We now have: zero-shot classification capabilities for basically any task, performance that is consistent enough for independent LLMs to collaboratively produce robust long-form responses, the ability to produce almost any web UI element on command with functional hookups to an API. And that’s just LLMs. SAM2 has good performance for realtime object detection in video.
Perhaps a more fruitful line of inquiry could be: what would the internet look like if every web application implemented support for A2A?
E.g. if "undergraduate-level reports" were something there was a mass market for, the economics of university education would be pretty different. And the same goes for idle searches, sycophantic therapizing, blog article generation, and toy code development: there is a solid user base while costs are free or low, but that says little about whether there is an appetite to pay for these tools, especially if the prices are commensurate with the cost of operation.