refactor_master

Right? Maybe there's a follow-up: "...and that's why I built this stick-in-wet-clay emulating pen". I'm thinking it'd be like stamping, mostly.

If you ask Silicon Valley, any organizational problem can be a technical problem if you try hard enough.

Consider this simple example: Storing all your sensitive user data in one centralized location (e.g. a US server) would be great for any kind of analytics and modeling to tap into, and is technically very easy to do, but it also violates virtually every country's data privacy laws. So then you have to set up siloed servers around the world, deal with data governance, legal stuff, etc.

Sure, it then becomes a technical challenge to work around those limits, but that may be cost/time prohibitive.

Just to add a less opinionated take: https://www.citymonitor.ai/analysis/why-winter-is-a-poor-arg...

Personally I've also biked to work (and everywhere, really) in sub-zero degrees many times, because the bicycle lanes are cleared and salted. It's really not too bad. It actually gets a bit too hot even, because you start out by wearing so much.

I have colleagues who bought new EVs and made money selling them one year later, because the market was so wild back then. For a while you could still add some deductions here, some credit there, sell an old car and “girl math” your way to a “free car”. Now people are surprised pikachu when the bubble has burst.

The term is actually a Chinese loanword, 火爐. One could then argue that without writing it with characters it just becomes meaningless sounds, which could have originated from any number of characters, if given no context. So therefore, your example doesn’t work so well either.

I would argue that the loss of characters work for the Vietnamese because the intelligibility is “good enough”, in the same way that writing Vietnamese completely without diacritics for an English-language newspaper is also “good enough”.

I hate when libraries do that, or create a `def ClassLike`.

I’ve found the library `beartype` to be very good for runtime checks built into partially annotated `Annotated` types with custom validators, so instead of instance checks you rely directly on signatures and typeguards.

Pretty sure what went down in Late Holocene Patagonia isn’t common sense.

In relation to this, I really hate the South Korean convenience stores’ aggressive 2-for-1 on many of the most basic things, because you know you’re essentially being forced into buying the second item you didn’t need.

It's funny that you're using the word "deserve". Based on whose moral framework? I'm not sure current moral frameworks on Earth would be against colonizing the Universe if it was possible.

Ah yes, data citizens and no-code. I wonder what kind of insanity we’ll see in the future.

The Internet for example is thought to be “democratizing” for society, but in reality some argue we’re now living under a system of “technofeudalism” [1] which is anything but. E.g. just a handful of Internet-enabled companies essentially rule the world. You can sit down and code an Amazon clone with or without AI, and both of them will be highly unlikely to topple the existing monopolies.

[1] https://thebeautifultruth.org/the-basics/what-is-technofeuda...

Maybe these people are trying to keep their skills and degrees honed somehow in a bad market, rather than going straight for a less-distressing-but-also-lower-paying job that does nothing to their skillset.

Funny thing is, these communities aren’t readily visible in real life. At the Japanese language school I attend people are mostly regular people with regular lives and regular limitations. Online, you’d believe that everybody did Wanikani on Adderall for several hours a day.

Might as well go ahead and add https://tylervigen.com/spurious-correlations?page=135 from the looks of it.

The lifestyle with olive oil and fish, or pension fraud? [1]

[1] https://www.theatlantic.com/podcasts/archive/2025/04/are-blu...

“I vibe coded that part, but all the tests passed”

Well, I’ve been stethoscoped more than I’ve fixed any computer with a wrench of all tools, so not really.

This just sounds like a different way of saying "one more lane bro, trust me". Usually one doesn't "shut down" a road, but divert lanes, perform construction outside of peak hours (e.g. at night) etc.

Finally, some people may even consider the construction too much of a hassle and use the car less. Empirical studies suggest that "removing" a road does not cause productivity loss overall, since having the road in the first place induces a lot of "non-essential" demand.

My company’s use of code is a means to an end, not the goal. If we could just have all our code written in bash loops that’d be a brilliant time saver. Unfortunately, some of the code is very gnarly business-y, poorly tested, and may even have wrong assumptions about the business.

Additionally, we have multiple languages, both software and hardware products and finally there’s also the question of external stakeholders, of which there are many. So AI would need a tremendous amount of oversight for that to work.

I don't know if you'll be reading this, but my first intuition would be to determine my effective sampling rate, and determine if samples are comparable at all in the first place.

For example, if your phenomenon is observable at 50 Hz, maybe even 10 Hz, then any higher temporal resolution does not give you new information, because any two adjacent datapoints in the time-series are extremely correlated. Going the other way, at a very low sampling frequency you'd just get the mean, which might not reveal anything of interest.

If you bin 100 Hz data at 50 Hz, are they the same? Is the Fourier spectrum the same? If you have samples of different resolution you must choose the lowest common denominator for a fair statistical comparison. Otherwise, a recording between a potato and an advanced instrument would always be "statistically different", which doesn't make sense.

If you don't find "anything", the old adage goes "the absence of evidence is not the evidence of absence", so statistics don't really fail here. You can only conclude that your method is not sensitive enough.

I only got:

在ChinaChina中，有什么在中国在中国在中国在 中国在中国在ChinaChina。在中国在中国在中国 在中国在中国在ChinaChina在中国在中国在中国

There’s a common misconception that high throughput methods = large n.

For example, I’ve encountered the belief that just by recording something at ultra high temporal resolution gives you “millions of datapoints”. This then has all sorts of effects on the breakdown of statistics and hypothesis testing (seemingly).

In reality, the replicability of the entire setup, the day it was performed, the person doing it, etc. means the n for the day is probably closer to 1. So to ensure replicability you’d have to at least do it on separate days, with separately prepared samples. Otherwise, how can you eliminate the chance that your ultra finicky sample just happened to vibe with that day’s temperature and humidity?

But they don’t teach you in statistics what exactly “n” means, probably because a hundred years ago it was much more literal in nature. 100 samples is because I counted 100 mice, 100 peas, or 100 surveys.

There are a lot of boomers out there though, and you won’t reach them on TikTok.

Interesting. I’ve never encountered this before in Danish. Their examples seem very dialect-ish.

Interestingly this pattern also exists in Danish (though not for the same reasons). Correctly speaking you’d say “try to…” which is “prøv at…”, but since the infinitive “at” and “og” sort of both turned into /ə/ when quickly spoken and you get “prøv og…”.

Question as a complete outsider: If I run idempotent Python applications in Kubernetes containers and they crash, Kubernetes will eventually restart them. Of course, knowing what to do on IO errors is nicer than destroying and restarting everything with a really bigger hammer (as the article also mentions, you can serve a better error message for whoever has to “deal” with the problem), but eventually they should end up in the same workable state.

Is this conceptually similar, but perhaps at code-level instead?

Clearly there’s a very real need for binary data formats, or we wouldn’t have them. For one, it’s much more space efficient. Does the author know how much storage cost in 1985? Or how slow computers were?

If I time traveled back to 1985 and told corporate to adopt CSV because it’d be useful in 50 years when unearthing old customer records I’d be laughed out of the cigar lounge.

Maybe we can train a simpler model to come up with the correct if/else-statements for the prompt. Like a tug boat.