Putting my Asimov hat on, maybe one day tutor systems will be very good, at least for some people. But I can’t imagine being a kid and enjoying learning from a screen rather than from a person, in a spontaneous classroom environment. Most of us are social creatures.

The deeper the model goes into a topic the worse it gets (plain wrong or hallucinates refs), and I suspect it depends a lot on the field. Including when it is asked to create exercises. For basic things probably fine, but how can a student tell when the model strays from the truth?

420k malicious tokens (0.00016% of the total training tokens) were enough to ruin the model, even after fine-tuning. This means the public can attack these models by creating and uploading bad data to Github, Stackoverflow, blogs, etc...

At Starbucks I order a Short coffee. I suspect most people don’t even know that exists…

Coolest? It's a tie between Braitenberg's "Vehicles"
and Hofstadter "GEB".

He has never read a book in his life.

I feel sick.

We even got real close to curing HIV: www.iavi.org/press-releas.... But this uses mrna, and that has come to be a dirty word for these people. It shouldn't. It's a triumph of modern molecular biology.

I'm so sorry. Beyond words.

Interesting! I've no problem with that. This is crafted as a cartoon, so it is read top to bottom.

Thank you for doing this work, it is very interesting! Challenge: I suspect if you asked o1 to create an X-bar grammar sufficiently large to parse a couple of pages of English it would not do a good job
.

I've annotated the o1 trees here: drive.google.com/file/d/1we0S... I think these systems *are* amazing, and getting better and better, but have a long way to go. Major issues: inconsistent analyses (suggesting not a single grammar exists), wrong analysis, partial trees, and gibberish trees (only 2).

O1's results are impressive, but they are not as good as a professional human annotator, at least for these sentences.

This is a good one but the other outputs form o1, are not good, and often mutually inconsistent. E.g. in the "This town's only road's potholes' depths are driving me insane" example the VP is too flat, the "only road" NP is wrong, inconsistent with tree for "a medium-sized sturdy lamp" in next S

Maybe they are assuming AI will bring about those breakthroughs? What happens when that bubble eventually pops?

ps - Should have used NDL instead of HOL.

The LL mostly consists of US posts. Here are the 2024 posts for "Professor":

That's a great idea. Maybe mine ProQuest, LingBuzz, and similar venues?