Recent submissions

Comment · 25 days ago
I think we all need to update our priors on what LLMs can do today. Here is one anecdote:

Scott Aaronson says "Dana tells me she now mostly understands the proof of the UGC, and is amazed by the new ideas in it, and wants to give talks about it soon."

Dana Moshkovitz is a professor at UT Austin who is an expert in the area and has been working on solving this exact problem for decades!

Comment · 26 days ago
True but the explanations will get better.

Meanwhile you can use the model to help you out as Scott comments "Just now, however, Dana tells me that she’s been asking Astra all day to explain the new proof of the UGC to her and it’s been doing an amazing job and she’s starting to understand the construction."

Comment · 26 days ago
No one knows the answer. However, trusting your curiosity and going where it takes you may be a reasonable strategy. If the model asymptotes, you will be ready to figure out how to build upon it and if not, at least you will have had fun satiating your curiousity!
Comment · 2 months ago
Terence argues that explanation of results ("understanding") will be the new bottleneck in math research but I am not sure this is the real bottleneck for progress.

Understanding was critical for the field to progress when only humans were involved but if humans are not needed to make progress, I wonder if we split into two worlds: an AI math-world where amazing new results continue at a rapid pace bottlenecked only by compute/cost and a human math-world where we understand a subset of the AI math-world as a hobby (similar to Stockfish vs human chess).

Comment · 3 months ago
Wow, this comment thread clearly shows that at least Anthropic has not been a great communicator.

If one reads this with a charitable lens, Dario is simply saying that 1) Nation state actors are a threat which needs to be combatted by chip bans and distillation prevention and 2) open-weight models can pose biological risk.

One may or may not agree with item 1 but item 2 above should have broad support given the unknown unknowns in play?

Comment · 6 years ago
Comment · 6 years ago
My favorite story when I hear someone dismiss an argument saying 'that is obvious':

Lazarsfeld was writing about “The American Soldier”, a recently published study of over 600,000 servicemen, conducted by the research branch of the war department during and immediately after the second world war. To make his point, Lazarsfeld listed six findings that he claimed were representative of the report. Take number two: '“Men from rural backgrounds were usually in better spirits during their Army life than soldiers from city backgrounds.”

“Aha,” says Lazarsfeld’s imagined reader, “that makes perfect sense. Rural men in the 1940s were accustomed to harsher living standards and more physical labour than city men, so naturally they had an easier time adjusting. Why did we need such a vast and expensive study to tell me what I already knew?” Why indeed.

But Lazarsfeld then reveals the truth: all six of the “findings” were in fact the exact opposite of what the study found. It was city men, not rural men, who were happier during their army life. Of course, had the reader been told the real answers in the first place, they could just as easily have reconciled them with other things they already thought they knew: “City men are more used to working in crowded conditions and in corporations, with chains of command, strict standards of clothing, etiquette, and so on. That’s obvious!” But this is exactly the point Lazarsfeld was making. When every answer and its opposite appears equally obvious then, as he put it, “something is wrong with the entire argument of ‘obviousness'”

More here: https://www.newscientist.com/article/mg21128210-100-the-huma...

Comment · 6 years ago
Nice summary of the Nassim-Nate debate. A formal analysis/discussion of election forecasting is in this paper: http://www.stat.columbia.edu/~gelman/research/published/jdm2...

Edward says that Nate's prediction should be interpreted as: “If nothing else changes between now and the election, Joe Biden has a 85% chance of winning.” (Silver’s argument) But the problem is this prediction is not testable as election only occurs once at the end. Thus, one should use Nate's early predictions as pure entertainment.

Nate's final predictions show that they are well-calibrated across all of his political predictions but it is hard to estimate how accurate his model predictions are just for presidential elections given he has predicted only a few so far (unless one assumes all elections have similar uncertainty, which is clearly not true).

Comment · 6 years ago
Greenwald was not claiming he is breaking the story. He was trying to shed light into the media blacklisting of the story. It is indeed Ironic that his story got blacklisted as well!

I think some editors are perhaps trying to avoid a repeat of the 'Hillary email/Comey announcement of 2016' scenario but didn't anticipate the Streisand effect.

In hindsight, best approach may have been to cover the story, get a sound bite from Biden denying that he benefitted, say there is no evidence he benefitted and leave it at that.

Comment · 6 years ago
I don't get this obsession with comparing Sweden, a remote, sparsely-populated country, to more dense, well-connected, large population centers. If you really want to compare Sweden, please restrict your comparisons to its closely similar, equally remote and sparsely populated neighbors, namely, Norway and Finland. The 10X difference between them will be immediately obvious.
Comment · 6 years ago
Yes, I agree. This issue is super-nuanced and I believe Mark has spent years (since the 2016 election fiasco) looking into this as well as being advised by top minds to arrive at his current position. These employees are acting emotionally now but will realize the value of Mark's position over time (in my opinion).
Comment · 6 years ago
Comment · 6 years ago
John's analysis is cherry picking in many ways. Death rate in Diamond Princess is 1.1% today and 2% is listed as severe. Assuming 50% of severe make it, final fatality rate for the ship may end up closer to 2%. John then adds a 50% discount factor but it is not clear how he picked that number. Also, the 1% of population infected seems to be another number pulled out of a hat. If we are basing our figures based only on the ship with no other assumptions, we have to go with 20% infection rate. Thus, one reasonable estimate of risk from the ship data is 20%x2%x330M = 1.3M deaths if we wait for "evidence" and did nothing. Clearly, this argues for doing something!

Edit: Also, Germany does not test dead folks for coronavirus while Italy does. Further, SK death rate has gone up to 1.3% (0.9% is an old number) and many more are in severe category. Thus, the sub 1% numbers seem more like the outliers than the above 1% numbers.

Comment · 7 years ago
Classics have a way to taking things to extreme to illustrate various points. The Gulag example highlights that when a person had a choice to take the road to the left (selfish) or the right (selfless), they took the right road and gave up their self/happiness but ended up achieving meaning. Frankl's book on search for meaning also talks about meaning being more desirable than happiness.

The point is not that suffering makes ones life meaningful but the struggle or striving or the road seems to be preferred by the wise than an end state like happiness.

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton