[1] https://gizmodo.com/pentagon-investigators-say-overreliance-...

[2] https://www.the-independent.com/news/world/americas/us-polit...

[3] https://www.nytimes.com/2026/08/24/world/europe/russia-drone...

The strength of correlation is NOT the only useful metric and should not be mistaken for more rigorous statistical analysis regarding causality.

> A generated parser's error is usually derived mechanically from the state machine, "expected one of: X, Y, Z, got W", which is correct but generic.

You are not describing the difference between hand-written and generated but rather top down vs. bottom up.

There may be some confusion here because hand-written parsers are almost always recursive decent (a form of top down), while the most popular parser generators (yacc, bison) are bottom up. However hand-written bottom up parsers do exist (Pratt parsing, recursive ascent), as do top down parser generators (ANTLR, Coco/R, Chumksy). Chumsky in particular gives pretty decent error messages out of the box.

Bottom up parsers can parse a larger set of languages than top down parsers, but the tradeoff is you don't know what you are parsing until you successfully reduce the rule (unlike top down parsers). This is why errors in bottom up parsers often lack comments on structure/context like "after return statement" and can only give a list of which alternative symbols would have been valid.

Several things.

First, private practice docs see patients with very good employer provided insurance, but residents are largely seeing patients that private practices wont see - patients who are far too medically complex to fit into a 10 minute slot and who also have particularly stingy insurance.

So as opposed to a private practice doc who is seeing 30 patients per day and billing an a average of $250 to $300 per patient (certainly not $1000 - that is unrealistic in my experience), a resident is seeing more like 10 to 15 patients per day (30 minute slots) and billing less than $100 per patient.

Second, residents have to be supervised. You have not included the salary of the physicians supervising them in your calculation.

Third, and I have mentioned this many times before on HN, training is limited by chiefly by the number of training sites that can offer quality training. For example, most hospitals will not see a single case of Guillan-Barre in a single year. Would you want to be treated by a nuerologist who trained at such a hospital? This is why neurology training is generally limited to places with a high volume of neurologic cases that would be considered rare at the average hospital, and these hospitals can only accommodate so many residents. Even for general medicine, you probably do not want to be treated by a doctor who trained at a hospital where any case that passed a certain complexity was transferred out to a bigger center.

However this is one of the weakest possible grievances you could raise because Putin also released rapists and murderers from prison to raise manpower, most famously during the spring 2023 Bakhmut offensive. There is no moral highground on that point.

Actually, this is actually a near universal issue with Russian grievances against Ukraine. Virtually any grievance that Russia can claim against Ukraine, Ukraine can claim that exact grievance back at equal or greater measure.

The absurdity of this claim should be self evident.

According to ICANN cutting the life cycle short doesn't have any effect on the life cycle?

ICANN corruption is at the level of FIFA corruption.

Maybe for very short phrases, but otherwise I disagree. Phrasing very quickly runs into a combinatorial explosion. In the words of Noam Chomsky, "Virtually every sentence that a person utters or understands is a brand-new combination of words, appearing for the first time in the history of the universe."

In my opinion, the difficulty in LLM/human text discrimination isn't that a person might coincidentally write exactly the same text as an LLM would, but rather that 1) LLMs aren't hard locked to a single phrasing (so this is a tougher problem than matching to a single static document, e.g. plagiarism detection) and 2) text has relatively low information density, so you need quite a bit of it to gather enough data to run a statistical test with a reasonably narrow confidence interval.

The point of regulation isn't for the state to turn a profit. In fact, I'd go as far as to say that regulations that drive a monetary profit for the state are generally bad because they create a perverse incentive. For example, municipal governments adversely affect traffic flow by lowering speed limits because those lower speed limits generate more ticket revenue.

There's also the phenomenon of having a memory of a memory. At age 10, I had a very solid recollection of my life at ages 5 to 6 (not so much of age 4). Now all I remember is that I used to remember a lot more than I do know.

US software devs also make 2x what their European colleagues do, but that never gets called out as bloat. Plus US software devs make that 2x pay without taking our additional loans for medical school at the rate of $75k per year or doing years of low pay residency where their salary doesn’t give them the means to pay off those loans.