Recent submissions

Comment · 3 months ago
1. Some of the "AI" proofs applied existing human work from lesser-known papers. AI proofs could solve the long-standing problem in math of almost all attention concentrating on less than 1% of authors. Human effort from the other 99% would have otherwise been wasted, which AI can rescue and give credit to thanks to its superhuman ability to match patterns across reams of text.

Humans may remain superior in spatial / non-verbal reasoning for a while longer yet, and, in the meanwhile, computers may aid us in collaborating to put that to use better.

2. AI-assisted, computer-verified proofs could further democratize mathematics by reducing the power of connections to get a reviewer to look at a journal submission. We can then also decouple the two tasks of

  a. Verifying a statement is true
  b. Explaining it
3. Searching for previous work and finding the edges of human knowledge are now easier. And we can leap across tedious terrain that the machine has the patience to plod through to find more interesting questions.
Comment · 2 years ago
Engineers would win many more arguments if that was their full-time job. Who has the energy after completing a blitz to solve a highly technical problem by deadline to debate a PM who has spent months cooking up a product story?
Comment · 6 years ago
Who are the geniuses / slimeballs at Microsoft who snatched the JEDI contract away from AWS for dubious reasons, and who partnered with Duck Duck Go, the most visible complainant about Google's search dominance, and central to the government's antitrust case that it just filed?
Comment · 6 years ago
Wow, none of my AP teachers back in '97 offered anything close to this advice. I wonder if that was normal for the time, or if I just experienced the low end of the variance of preparation.
Comment · 7 years ago
I believe this is the truest interpretation:

> In the days of the PDP-1 only one person could use the machine, at the beginning at least. Several years later they wrote a timesharing system, and they added lots of hardware for it. But in the beginning you just had to sign up for some time. Now of course the professors and the students working on official projects would always come in during the day. So, the people who wanted to get lots of time would sign up for time at night when there were less competition, and this created the custom of hackers working at night. Even when there was timesharing it would still be easier to get time, you could get more cycles at night, because there were fewer users. So people who wanted to get lots of work done, would still come in at night. But by then it began to be something else because you weren't alone, there were a few other hackers there too, and so it became a social phenomenon. During the daytime if you came in, you could expect to find professors and students who didn't really love the machine, whereas if during the night you came in you would find hackers. Therefore hackers came in at night to be with their culture. And they developed other traditions such as getting Chinese food at three in the morning. And I remember many sunrises seen from a car coming back from Chinatown. It was actually a very beautiful thing to see a sunrise, cause' that's such a calm time of day. It's a wonderful time of day to get ready to go to bed. It's so nice to walk home with the light just brightening and the birds starting to chirp, you can get a real feeling of gentle satisfaction, of tranquility about the work that you have done that night.

> Another tradition that we began was that of having places to sleep at the lab. Ever since I first was there, there was always at least one bed at the lab. And I may have done a little bit more living at the lab than most people because every year of two for some reason or other I'd have no apartment and I would spend a few months living at the lab. And I've always found it very comfortable, as well as nice and cool in the summer. But it was not at all uncommon to find people falling asleep at the lab, again because of their enthusiasm; you stay up as long as you possibly can hacking, because you just don't want to stop. And then when you're completely exhausted, you climb over to the nearest soft horizontal surface. A very informal atmosphere.

RMS lecture at KTH (Sweden), 30 October 1986 https://www.gnu.org/philosophy/stallman-kth.en.html

Comment · 7 years ago
JWZ draped camouflage netting around his desk to make an ad-hoc "Tent of Doom": https://www.jwz.org/tent-of-doom/ . Maybe an actual tent would be even better.

Surrounding yourself by whiteboards might also allow you to approximate walls.

Comment · 7 years ago
I think he meant the airport employees on the tarmac who wear giant ear muffs.
Comment · 7 years ago
The median Googler works there for about a year, too, so I guess they have little interest or ability to understand existing code.
Comment · 7 years ago
That would be useful information, but it would also need some way to judge how biased (or not) the promotions are.

There's also another likely contribution to higher pay for women: a shorter supply of them, and Google bidding to hire/keep them versus other companies.

Comment · 7 years ago
The Bible Belt is running out of notches
Comment · 7 years ago
Location with respect to what?
Comment · 7 years ago
Serious question, ignoring the other environmental impacts of logging old growth forest:

Is logging carbon negative?

Comment · 7 years ago
You'd probably find that ancient humans, just like many animals, formed cooperative groups that weren't limited to family, with children not infrequently cared for by nonfamily. A social safety net is nearly as ancient as life itself and seems to be contributing to the robustness of many lifeforms.
Comment · 8 years ago
If they blanket an area with cameras, as China does, they can use multiple vantage points to get more accurate measurements and, when a positive ID is made, they can persistently track that person crossing from one field of view to another.

I think the main advantage of gait analysis (or limb proportion measurement) is that it will encourage a more efficient, decentralized computation that first distills the observed data into a fingerprint that can be more easily transmitted over a wire to a massive database for matching, rather than the alternatives of either replicating that database or transmitting raw, high-bandwidth data.

Besides limb measurements, they could also use last known location, residence, and vehicle ownership information to increase the certainty of loose matches.

Comment · 8 years ago
This could be the product of sharing course materials they already mostly had, at a low additional cost.

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