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subroutine

3,134 karma · joined June 16, 2015

Computational Neuroscience PhD, UC Berkeley
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subroutine··on Why Twitter didn’t go down: From a real Twitter SRE
What a wild card. Has Musk said why he purchased twitter in the first place? IRL he seems so introverted. It's just odd to me he'd have any interest in a social media company.
subroutine··on Why Twitter didn’t go down: From a real Twitter SRE
The unemployment rate in Feb 2020 was 3.5%; by April 2020 it was up to 14%. It has never been lower than 3.5% since then. If there was a hiring glut due to covid it must have been a very industry-specific glut.
subroutine··on Why Twitter didn’t go down: From a real Twitter SRE
A bunch of people just got axed from Twitter because covid cash dried up? Shit I thought it was because Elon took over and fired anyone who refused to work at the office instead of at home.
subroutine··on Mercedes Makes Better Performance a $1,200 Subscription in Its EVs
What do you mean by relevant? Compared to all auto manufacturers in the world... if you're taking about revenue they rank 3rd. If you're talking about market cap they are 6th. The number of times mentioned in a rap song they rank 2nd. For those in the market for a entry-level luxury car it's among the most common choices along with BMW, Audi, Lexus, and Tesla.
subroutine··on First Tasting of Plant-Based Oysters in Berkeley, CA
Exactly my sentiments as well!

What's next, plant-based fugu based on the reasoning that it 100% eliminates the possibility of tetrodotoxin poisoning? Part of the reason puffer is considered a delicacy is there's a non-zero chance it could kill you. Not because it is so yummy.

Oysters are fleshy slime balls, and I'm able to get past the texture and actually enjoy the taste because of some je ne sais quoi. Slime grown in a lab and artificially flavored does not share the same mystique.

subroutine··on What the “superforecasters” predict for major events in 2023
It looks like they are simply providing the summary data to their multiple choice survey questions. Still, CI or SEM would not apply (there is no SEM for 80% of forecasters said 'yes'). These graphs are literally just telling you the percent of responders who picked a given answer to the corresponding question.

edit- the longer I browse their website for the exact methodology, the less impressed I am with this group. The "Introducing the Superforecasters" section is so cringe.

https://goodjudgment.com/about/

subroutine··on First Tasting of Plant-Based Oysters in Berkeley, CA
Trying to sell people a knockoff food 'delicacy' seems akin to trying to get people to buy cubic zirconia instead of diamonds or pyrite instead of gold. That is, the knockoff could be almost indistinguishable from the real thing but people are going to prefer the genuine article anyway.

I personally enjoy the oysters at my local fish shop, when i happen to be there on their 'oyster day' and they have them laid out on ice. If it weren't for that, oysters would never enter my psyche; I've never been at the supermarket thinking damn I'm really craving oysters. And if I did happen to see a bag of oysters next to a bag of foysters in the freezer section, you can bet I'm not buying either. I cant be alone on this.

subroutine··on Chess, but moves are simultaneous
Hurry gershy!

In the meanwhile, others might be interested in visualizing a Reddit (and HN) hug of death:

https://www.tylermw.com/visualizing-a-reddit-hug-of-death-an...

subroutine··on Which one of these will be the biggest “unicorn” failure ever?
Uber has a market cap of 58 billion (cf. "$25.2 billion funds raised"). Teladoc Health has a market cap of 5 billion (cf. "$0.17 billion funds raised"). The Funds Raised column in the article does not seem to include stock issuance.

https://finance.yahoo.com/quote/UBER

https://finance.yahoo.com/quote/TDOC

subroutine··on Well Known Short Seller Claims SBF Is a Fraud Weeks Ago
Larry David also predicted this in an ftx super bowl ad:

https://youtu.be/BH5-rSxilxo

subroutine··on Pokemon Card Animation
Also glitches like crazy on Chrome for iOS.
subroutine··on Bumble releases open-source A.I. feature to help combat unsolicited nudes
The dev team had a large training set for male anatomy due to availability and a large training set for female anatomy due to determination.
subroutine··on Hyundai investigating child labor in its U.S. supply chain
> In Texas, minors aged 14 and older can work without parental consent. If an employer chooses to do so, he or she may require the youth to submit a “Certificate of Age” form.

(n.b. 2017)

https://texaslodging.com/child-labor-laws-2017/

> Now minors [in New Jersey] will no longer need parental consent or anything from the school district to secure a work permit. Instead, the state Labor Department will create a centralized database for teens to register for work permits, which will be accessible to employers when interviewing potential employees.

https://newjerseymonitor.com/2022/07/06/teens-in-n-j-can-wor...

Instead of posting more links I will just summarize what I am finding... Instead of parental consent most states require a work permit which is more formal documentation than just a parent saying ok. Obtaining a work permit includes a review process, and require the submission of various materials which sometimes includes written permission from a parent, for some age groups.

subroutine··on Thanks to the Israeli accessibility law, I have to delete my websites
OP said "Google is specifically known to be using their fonts for tracking users across the web."

I mean... is it?

subroutine··on Thanks to the Israeli accessibility law, I have to delete my websites
If you are going to cite an article, make sure it provides an answer to the prompt. There is nothing in this article that can't be inferred directly from the google fonts privacy policy.
subroutine··on Thanks to the Israeli accessibility law, I have to delete my websites
Source?
subroutine··on Many Researchers Using Same Data and Hypothesis Reveals Universe of Uncertainty
I am making a single claim, that shouldn't be this controversial. Not sure why you are angrily misrepresenting what I've stated.

Here it is again, more generically: as the p-alpha level for rejecting the null hypothesis decreases, the tendency for Type-2 errors increases.

Do you disagree?

In a world where time and resources are not a factor, an infinite amount of data could be collected to ensure both types of error are minimized. In such a world, alpha can be made arbitrarily small. In worlds that have limited resources to dedicate to experiments, a judgement needs to be made as to whether we are more comfortable with Type-1 or Type-2 errors. If for a given experiment it is decided to set an extremely low alpha (e.g. 7-sigma) it is being implied that we would rather preserve the prevailing theory (null) than reject it in favor of the experimental data.

If a social science experiment was funded at the level of CERN/LHB I have no doubt they would choose a more restrictive alpha, and likewise if LHB had less resources they would likely drop their alpha accordingly based on some power analysis. I say this as someone with a phd in a hard science. Obviously it doesn't excuse the field completely for their reproducibility issues. They should make a more concerted effort with their limited funds, perhaps using the model of particle physicists who pool funds to make a fewer number of experiments more rigorous through higher amount of data collection. But this is all aside the small point I originally intended to make..

subroutine··on Many Researchers Using Same Data and Hypothesis Reveals Universe of Uncertainty
To clarify, instead of "is correct" I should have said "if our math based theory is being treated as the null". But yes, I completely agree with your statement.

As for you not understanding the first bit, that might be a personal limitation, or some sort of aphasia.

Setting the bar at 7 sigma means we will only reject the null (our math based theory) if the observed experimental data would have only occurred by chance, under the null, with a probability of less than one in ten million.

Hence, setting such a high bar to reject the math based theory means we are relatively biased towards preserving our mathematical preconception about the world rather than accepting (unexpected) physical evidence. If we set the bar at say, three sigma, the bias shifts towards accepting the physical evidence.

The point is, the p alpha criterion is not what makes an experiment rigorous.

subroutine··on Many Researchers Using Same Data and Hypothesis Reveals Universe of Uncertainty
Setting the bar at seven sigma just means natural sciences are more biased towards our mathematical preconceptions about the world than accepting physical evidence. There's nothing inherently wrong with that - the same could be done in social science. It just means the null hypothesis (the accepted preconception) will be sustained more often. And more type-II errors will be made. A six sigma result means there is a one in a million chance of getting the result we observed from our experiment if our maths-based theory is correct. And what you are saying is that such a result is just "meh, our math still checks out".
subroutine··on Even after $100B, self-driving cars are going nowhere
I actually do feel more comfortable with the idea that autopilot is landing the plane rather than a human pilot. Especially at night. And I don't even know if it actually works like that. Interesting. Good chat.
subroutine··on Even after $100B, self-driving cars are going nowhere
I'm not sure if "the breaks on the train failed" and "the train's ai suddenly decided to start running in reverse" would get the same reception even if the result was the same.
subroutine··on Even after $100B, self-driving cars are going nowhere
I'd agree with that estimate. But sheesh, 50 years from now seems like forever.

Two final thoughts...

(1) Maybe within the next 50 years devs can instill into AI, some meaning of death. As it is, I find some comfort knowing my driver realizes the difference between a field and a 40-foot cliff along the coast of Big Sur, and our shared theory of mind regarding the consequence of swerving to avoid something in those situations.

(2) Regarding humans being more tolerant of human error. I think this might be because when a human gets in an accident, there is always the ability to reason that person is different than us: old, tired, drunk, distracted, etc. And both the situation and the cognition are unique to one person. Naturally, we would have done something different to avoid the accident, we reason. If an AI gets into an accident, and we know that same exact AI is driving 10 million cars, including our own, that freaks us out a little.

subroutine··on Even after $100B, self-driving cars are going nowhere
This is the argument self driving car companies are currently trying to make. My contention is this reason doesn't seem compelling to the general public. For whatever reason the public seems more tolerant of human error than machine error. At this point anyway. I foresee a long period of trust-building before widespread adoption.

An interesting experiment would be for Uber to send two cars for pickup, one human and one self driving. And let people choose.

subroutine··on Even after $100B, self-driving cars are going nowhere
True, true. However, if I had to bet... I'd bet in a fully self driving world (using today's tech) there'd be overall far fewer fatal accidents. However there'd also be a lot of bullshit we are simply unwilling to deal with (e.g. cars going 10mph in the rain; slow motion fender benders; car unwilling to turn left; gridlock at intersections; lots of random oddities). I guess my point is that safety metrics are certainly important stats to gauge self driving progress, but certainly not the only metrics that matter, and perhaps not even the most important.
subroutine··on Even after $100B, self-driving cars are going nowhere
I think computers will become superhuman at driving under the right conditions.

However, there will inevitably be conditions that require the use of general intelligence (rather than driving heuristics), and in those situations all you can do is pray the computer acts rationally despite not having GI.

I think self driving cars have already passed the test of "number of crashes" or "number of fatalities" per mile driven. But I don't think that's enough to sway the public, if every once in a billion miles a self driving car slowly drives off a cliff for no apparent reason.

subroutine··on NYU Chemistry Professor Fired After Students Said His Class Was Too Hard
This article is so upsetting. The worst students among a cohort of underperforming zoomers (as compared to historical cohorts) were offered a free redo (retroactive withdrawal) of the course without consequence. And that wasn't good enough, so they pressed until the uni fired this prof (who had previously won teaching awards).

I'm sure they celebrated their great victory and validation, by further slagging this prof on tiktok.

Where is my cane...

subroutine··on Nobel Prize in Chemistry Awarded to Bertozzi, Meldal, and Sharpless
Wikipedia article:

https://en.wikipedia.org/wiki/Click_chemistry

subroutine··on The Full Chess Cheating Report of Hans Neiman
Trying to think of an example in 'physical' sports (give me some rope here)... in baseball you start by using light aluminum bats, then in college they impose weight rules on non-wood bats, then in the MLB they impose weight rules on wood bats. However, pro players sometimes train with non-regulation bats to work on bat speed or for pregame warm up. Rarely, a training bat will accidentally get used during a game. If such a bat breaks during the game, it will reveal itself as a hollowed or corked bat. The consequences, esp with regard to public perception, for such mistakes are severe.

https://fanbuzz.com/mlb/sammy-sosa-corked-bat/

subroutine··on Goal: Pass all 4259065 tests in sqllogictest in 1 week
Fair. I get your point. My only contention is of the magnitude - imo someone 10 times better than the average developer is a unicorn. But the term gets thrown around any time someone is 'just' really good; they wrote fairly optimal code, quickly. However, to your point, there may be an argument to be made that people who have made a huge impact on the CS landscape are 10x-ers (regardless of efficiency). Is Linus a 10x-er?
subroutine··on Goal: Pass all 4259065 tests in sqllogictest in 1 week
But probably the least subjective, and yeah, my position is that 10x is unrealistic.
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