Michael Westergaard
Posts
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Narrower roads rarely lead to more crashes and generally reduce speed and crashes, especially in urban areas with very few caveats (one being shared road with bicycles):
- mdpi.com/2071-1050/17/2/628
- journals.sagepub.com/doi/10.3141/2023-08
- nacto.org/wp-content/uploads/Part-III-Section-1-Citation-2_-Hamidi-and-Ewing.pdf
Increasing the number of lanes unambiguously increase traffic:
- sciencedirect.com/science/article/abs/pii/S1361920901000098
- aeaweb.org/articles?id=10.1257%2Faer.101.6.2616
Reducing the number of lanes reduces crashes and keeps traffic at worst little more congested than before (i.e., overall reduced), just with fewer lanes:
- journals.sagepub.com/doi/abs/10.3141/1784-11?download=true
- pedbikeinfo.org/downloads/WhitePaper_RoadDiets_PBIC.pdf
Which part of the assumptions or methods used do you disagree with?
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Reducing lanes makes going by car less attractive, increasing the number of people that seek alternatives (bike, public transport, or alternative routes), reducing overall traffic.
People get too comfortable with wide lanes, leading to less attentive drivers and more accidents. Narrower roads are much safer because they *feel* less safe.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Name it Naked Teams Roulette, then publish.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
In addition to SPF, DKIM, and DMARC, which are all mandatory these days, you need to make sure that your IP is not on a blacklist (and most cheap cloud providers that allow port 25 traffic are), and that your domain isn't (if you sent mails with invalid DMARC/SPF/DKIM or you don't have DMARC in a strict mode and somebody used your domain to send spam, it is on a blacklist).
They often employ graylisting (deny mails the first time around, only accepting on re-send) and nebulous anti-spam rules (proprietary SpamAssassin-like checks – nebulous to prevent spammers from working around them).
It's hard, very hard, to run a working mail server. It makes the 90s/00s with sendmail config woes seem nice in comparison. You cannot just boot up a Postfix and expect to be able to send mail.
For the most part, this is fair. Each of the rules is there to prevent spam and makes sense. The unfortunate fact is that it simultaneously makes it very hard for self-hosters/small companies to send legitimate mail. Because their mail looks exactly like spam.
I had a domain blacklisted at Google due to slightly wrong DMARC + DKIM setting; took a good 2 weeks to get it removed despite all checks saying it was fine.
mxtoolbox is only the beginning (it found no issue with my blacklisted domain); mail-tester is better, being on Google Postmaster is a must, and a DMARC monitor is close to a necessity.
BIMI often helps because it's so extremely expensive.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Using an LLM definitely doesn't teach you programming. But it does increase your skill in making programs using LLMs. They are different skills that accomplish something similar.
Using a high-level language allows you to write programs without having to worry about register allocations, call conventions, or memory models. Many modern developers don't even know what a register is, what a call convention is, or the difference between a stack and a heap. But that is ok: the compiler takes care of that, and you're just delegating to it to take care of the details that don't matter at your level.
For non-developers, the LLM can serve some of the same roles. It can write the code they don't understand and they can create by describing it, just as your or I create programs by describing it in our programming language of choice. It's fair if you don't see describing the program to an LLM as creating, but I see it as creating just on another level. And I hate using LLMs for coding or when try pushing me to using it.
The comparison with a compiler is a little flawed. It should be a comparison between compilers in the 1960s: back then, compilers were pretty garbage and frequently made mistakes. The fact that compilers eventually became great and better than humans should not be taken as an argument that the same will happen for LLMs. But either does allow making programs at a higher abstraction level.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Saying code made using an LLM isn't legitimate is just as meaningful as saying that code made using a high-level language is less legitimate than code made in assembler.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Their annoying mistake is that since AI enabled them to go from being unable to being able to make programs, it will make a developer who already can code better at making programs.
It's like offering a wheelchair to somebody that walks: just because it allows somebody with broken legs to move, it does not make the walking better at walking. But it has a place in aiding those that cannot move without it.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Vældig god pointe at få folk til at læse forslagene. Det gør det det værd i sig selv, IMO
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Et problem med at bruge lovansvar og beskrivelser direkte er at de kan være misvisende. Er en lov om markedsføring virkelig om konkurrence eller for at tillade fx prediction market reklamer? Har en lov om landbrug et urelateret afsnit om burkaer… Det er åbenlyst ikke let at omskrive neutralt, så det er mere en observation end et forslag.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Microsoft did usability tests of Clippy in the 90s. People responded positively, so they dialed the frequency/invasiveness to 11 leading to it becoming universally hated and eventually removed.
AI features can have some merit in some cases, we just don’t want it showed down our throats everywhere. It could succeed if they weren’t so pushy, but that’s not worth trillions in stock valuation.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
I did read that one company seemingly has a mostly sensible reaction to the hype. CEO of Apple, Tim Cook, has rejected buying several grifting companies (Tesla and Netflix) despite it being suggested by other higher ups, and SVP of Software Engineering Craig Federighi is hesitant to paying billions for AI grifters (Perplexity and Anthropic). macrumors.com/2025/08/26/apple-discussed-buying-mistral-ai-and-perplexity/
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Pretending I didn't notice your blatant attempt at whataboutism, I also complained about bitcoin wasting energy – and have for a decade now. You're using bitcoiners' fundamentally flawed argument that more efficient miners will solve the energy consumption: bitcoin has built in anti-efficiency so more energy efficient bitcoin mining will just lead to more bitcoin mining, not using less energy.
AI is exactly the same: while it might be more efficient to train per neuron or parameter (or other largely irrelevant parameters that grow faster than efficiency improvements), each subsequent model has taken more energy to train, disregarding theoretical and technical improvements to the process. There is absolutely no reason to expect it would be different in the future, and history has told us it is not.
Bitcoiners btw do the same thing you do: talk about their scam-tokens in future tense as if it is the present. They will be so great very shortly, so we might as well pretend they are great now.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
While some computers in 1985 may have been mainframes, a lot were Commodore 64s or Apple IIs, so it's unlikely the average power consumption was over 40 times more to outweigh the factor 40 in numbers.
Not even counting that a typical computer around 2000 had a 200W-300W PSU while a typical (desktop) computer today has a 500-1000W PSU, and ignoring all mobile devices even though they are more used and way more powerful than a super computer in 1985.
When things are more efficient and cheaper, more people buy them. Typically in numbers that make the overall cost/consumption to up, not down, when things improve.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.
Studying to be part of the problem. Listener of Britney songs, toucher of computers, knower of psychology.