jsomae

if you've forgotten your log-in info, contact customer service.

If you've previously downloaded your data, you can use that to help.

there's no "but" -- this is exactly the point the author is making.

The article is NOT satire -- it's provocative. The author argues that world hunger benefits the rich. Capiche?

I hope the UN restores the article.

Interview with author: https://fee.org/articles/un-deletes-article-titled-the-benefits-of-world-hunger-was-it-real-or-satire/

that's not satire. He unironically, disapprovingly, argues that this is the real state of the world.

https://fee.org/articles/un-deletes-article-titled-the-benefits-of-world-hunger-was-it-real-or-satire/

This I can believe tbh. It's a very useful tool in the hands of an expert. Otherwise it's like giving a chimp a gun.

Maybe this is why I am surprised at people's hatred of ChatGPT. It's borne of misuse of a tool for experts, like newcomers struggling with a C++ compiler error.

like, a video of Tao giving a demonstration?

LLMs are basically just good pattern matchers. But just like how A* search can find a better path than a human can by breaking the problem down into simple steps, so too can an LLM make progress on an unsolved problem if it's used properly and combined with a formal reasoning engine.

I'm going to be real with you: the big insight behind almost all new mathematical ideas is based on the math that came before. Nothing is truly original the way AI detractors seem to believe.

By "does some reasoning steps," OpenAI presumably are just invoking the LLM iteratively so that it can review its own output before providing a final answer. It's not a new idea.

I do agree that grad students don't exactly live in luxury, and frequently develop mental health crises. But their contributions and insight are what power their labs. Profs often have to spend so much time teaching and chasing grants that they can't do much real research. Academia overall is in a sad state.

But Tao is a superstar, and a charismatic blogger. I'd be disappointed to learn he mistreats his grad students. (I don't know if he even has any tbh)

machine learning?

U.S. vehicles currently emit 2 billion tons. So that's very bad news.

However -- I think 2030 is waaay too far in the future to predict anything about AI.

i like the last one

Charitably, the frog is actually saying "I don't like discussing our looming annhilation."