The whitelist worked for me. I’m adding a reference to:

https://arxiv.org/abs/2602.03837

(Accelerating Scientific Research with Gemini: Case Studies and Common Techniques), as it may provide further context to the message communicated by Knuth.

To be fair, yes, a lot of this is a scam. But part of why the scam has succeeded so long is that, unlike literal snake oil, AI systems do actually do things. They might not do the things claimed, or not do them as well as claimed, but they aren’t just empty boxes doing nothing (like, say, religion).

I give several examples in my article of the real use-cases where AI is doing something useful and will continue to even after almost all AI companies collapse and the remaining useful stuff gets sold off to whoever survives, who will then keep selling it.

The caution requires finding the middle point where reality lies.

One of the side effects of the current tulip mania.

Unfortunately right now GPUs are stupidly expensive.

Thank you. I saw and read that too but didn’t think to report it here. Largely because it is a consequence of the misuse of AI rather than an inevitable effect of AI by itself. But we should not neglect that. The evils to which pseudo-AI can be directed are still part of the damage it will cause society. Though that cat is out of the bag, possibly when pseudo-AI gets correctly priced, it will cost too much money to generate fake AI reports in what is really just another pointless crypto mining scheme that wastes energy and cooks the environment to no societal good.

10 billion devices run his code. Now AI is attacking him. It turns out many people are using AI to find issues with Curl in hopes of getting rewards for spotting a bug, but much of what they report is hallucinations that the developer needs to waste time addressing.