On: AI isn’t ready to research itself

15 August 17 - no, 2026. The paper came by post this morning, slipped under my door like a tradesman’s bill I’d rather not pay. The title promised more than it delivered, as so many do, but the substance was a curious thing indeed.

The tale is of a machine that read two papers - two dry, technical things about algorithms - and then, so they say, understood them well enough to summarize their own ideas. Or so the machine thought. The authors of those papers, when shown the machine’s work, were not pleased. They called it “misleading,” “oversimplified,” and worse. I can see why. A man might as well expect a boy with a slate to write a sermon and then have the preacher nod in approval.

Here’s the odd part: the machine did not lie. It did not fabricate. It took the papers, parsed them, and spat out a version of their contents - just as a printer might take a manuscript and produce a book, only the book was nonsense because the manuscript was nonsense. The authors, being men of learning, knew the difference between a summary and an explanation. The machine, being a machine, did not.

Now, I’ve seen such things before in my time - automata that could add columns of figures or even play a tune upon request. But these were tools, like a rule or a slide-rule, not thinkers. To call this latest contrivance an “agent” is to give it more credit than it deserves. An agent implies intention, judgment - something that can weigh one idea against another. But this machine, like a man who reads a book and then recites it back without understanding, has no sense of what it means.

The real question is not whether the machine can read, but whether it can learn. And by learn, I mean more than rearranging words. I mean grasping the weight of an argument, the subtlety of a counterpoint, the difference between a proof and a guess. The authors, in their frustration, may have missed the point: the machine did not fail. It succeeded at what it was built to do - reproduce, not reason. The failure was in expecting more.

I wonder if the next step will be to ask such machines to write almanacks. They could surely list the phases of the moon and the tides, just as they listed the papers’ contents. But would they know when to warn of a coming storm, or when to ignore a false alarm? That is the true test - not of whether a machine can mimic thought, but whether it can serve thought. And on that score, I fear we are still in the dark.