paulpauper

Last tweet by him just 2 days ago.

in other words, it doesn't do much of anything, similar to most powders, supplements, and minerals/vitamins

People are throwing away their money

This is also true for almost every other field, even within computer science. The only difference is that a lot of people operate at a very surface level without realizing just how much background knowledge they have accumulated. Think about the number of keywords your average SWE is expected to know. It is rather insane.

Nah, math is much harder because there is not just the lingo, but also all the math machinery behind it. Each math definition represents some long process behind it, which builds on another process, etc. The knowledge builds on itself , too much more so than computer science.

mathematicians have been using computers for well over half a century, but this was after "bounding" the problem first and then running through the cases with a computer. Now AI is doing the first part. However, mathematicians are still needed at crafting prompts, and knowing where to look, still. The prompt for the Jacobian conjecture was obviously not random. the search space is too big to just try all the combinations of 3 variable polynomials.

As far as comments are concerned, it's hard to establish causality but I have noticed being downvoted more often and lazier comments around 2022. But this could also be downstream of a more politicized climate. AI as a topic is also inherently controversial and divisive. People have strong opinions on either side of the debate.

The purpose of this article was, secretly, to tell the reader about another class of Diophantine equations which leads to the Langlands program, which studies from incredibly intricate hidden structure inside of number theory. The Langlands program studies Diophantine equations of the form

This is not what the Langlands program is

Just go to Costco: they only stock 4,500 items compared to Walmart's 100,000 per store

I would be flattered , but that is just me

remarkable also how it's not even greyed out either. I have been downvoted to oblivion for far more defensible claims

In other words, what will differentiate people is not how smart they are but their relationship to mental effort.

Yeah, so smarter people? A smart person will quickly whip up a solution with AI, and use AI optimally, as I have observed online. It's already smart people with math degrees who are using AI to create proofs. Ordinary, non-math people are not doing this. I think it's more like AI magnifies the talents of already talented people.

Blogging as medium is thriving despite AI and LLMs. It has moved to Substack + Twitter and newsletters, and away from Google and Facebook as a source of traffic generation. Many people are easily making 6 figures on Substack now, and also combined with Twitter monetization. This didn't exist 5 years ago.

There are way more blogs now compared to 2013, and much longer and technically proficient writing compared to the terse blog posts that dominated 1-2 decades ago. Even major media sources such as the NY Times The Atlantic are copying the substack contrarian style that is thriving now.

yeah, but also the entire crypto market crashed, too. Collectively investors lost hundreds of billions, of which Trump coin related losses were just a small fraction of this.

As far as the US is concerned, given how badly bitcoin has done since Trump was inaugurated, the worst performing asset class by far, I would say the ROI has been pretty bad. Industries and sectors that donated nothing still got bailouts and other initiatives, such as AI, quantum, metals, and semiconductors. Noting for crypto donors. No bailouts, or even mentions on twitter. Politicians can take money but they don't have to honor their end of the deal to give anything in return.

It's more like a year of underperformance, sometimes longer

Same for META

Oh man this again? People have bene making this prediction since 2023.

Yeah, so much for AI making mathematicians obsolete.

It's amazing how much attention this issue has gotten. What is lost in the hype is no AI can tell you if a proof is correct. An AI can produce a convincing looking proof, but it can have a subtle but critical error or make an assumption that is unfounded. Thus, it ultimately comes down to humans. A mathematician has to craft the prompt, and mathematician to interpret/check the results. Also, these programs are very expensive and propitiatory. They are not like the commercial AI that regular people use. It takes considerable prompting and trial an error to solve even Olympiad/Putnam problems, and tons of work by humans pouring over the results to see if it's correct. For every Erdos problem that captures the headlines, there are many where it failed or untold hours of prompting and token burn to get that result, and manhours verify it.

attention, bandwidth, and status cannot be replicated with AI. Those will remain scarce despite breakthroughs in AI

Their silence says nothing about your worth. They might be busy, taking a break from email, or not in a place where they can engage with new folk…who knows? And what does it matter?

Or it gets filtered as spam. very common

Healthcare is a huge sink if you have the income to afford it . People will spend hundreds of thousands of dollars on various protocols to look younger, beat aging, and so on.

It's not just that. It's anyone who wants to live longer and look younger. Pretty much anyone with the income to afford it. As society becomes wealthier , it means more $ spend on elective procedures and healthcare overall. Wellness clinics are a huge deal now.

This is a good point. So many stories on Reddit of college grads in computer science unable to find work despite being qualified.

How much time has to pass before we can dismiss the widely cited predictions by the media (and also many popular bloggers and podcasters) that AI will lead to mass joblessness? Those people need to at the very least acknowledge that their forecasts are so far wrong.

You can also look at the BLS unemployment rate. Its also low. The predicted mass joblessness due to AI shows no sign of happening

You can look at the official unemployment rate, too. It's still low despite rapid advances in LLMs

If America becomes wealthier due to AI, it will mean more follow-on jobs such as people using their newfound fortunes to remodel their homes, consume more , vacation, etc. Companies will expand and hire. All of this creates jobs even if AI may also destroy some jobs. The net result is more jobs. There is a huge market for upper-middle-class people in their 30-50s to look younger. This means more health clinic jobs and demand for pharma.

It's always 2-3 years away. 2027 was supposed to be the inflection point. That was 1-2 years ago.

I don't think it matters much. People are not mice. The vast majority of people will not overconsume or under-consume protein. There is a huge range where people are eating enough protein.

Imagine how much $ ppl could have made hijacking famous accounts to promote crypto or other crap. I wonder how often this happened.