datpuz

Very good point. Not everyone has the same degree of self preservation instinct.

If your situation is 100% totally hopeless, it's probably preferable to most people to take the clean shot than to try to escape and have a potentially much worse death.

My ex girlfriend was a doctor and we talked about this once. The gist of it that I got was that excessive early tests have a lot of risk factors that come along with them, because tests themselves being harmful (CT scans cause something like 5% of all cancers), and because false positives lead to unnecessary treatments, surgeries, medications, etc which can cause real harm. Basically, if the expected harm from the proactive testing is greater than the expected harm it would mitigate, you don't do it.

I don't think efficiency of navigating your IDE is a major factor in your productivity. If you like your setup, it's probably not going to matter a whole lot. The tool you make money with is your brain.

That's awesome. I set up Arch Linux a while ago, and despite working in Linux shops for more than a decade, let's just say I was very out of my element...

I would argue that they need heavy human oversight

Can you describe the cultural gap? I haven't really met these folks in the wild, so I'm curious what the programmers of yore were like.

Just wait til the honeymoon period ends and you actually have to stand behind that slop you didn't realize you were dumping into your codebase.

I dunno, but I'm pretty sure Jesus is not controlling my addiction, either.

Benchmarks in software have always been bullshit. AI benchmarks are just even more bullshit since they're trying to measure something significantly more subjective and nuanced than most.

Are you rich at least?

Okay, but the therapy industry is also a total grift. So I guess the trick is to reinforce your external locus of control by blaming your trauma, so that you go to a pseudoscience practitioner who will fix the problems that were created for you? That way they've got a lifelong customer!

It seems strange that one of the steps is admitting you have no control over your addiction. I feel like the first step should be deciding that you do. But that kind of self assuredness doesn't really align well with whole surrendering to Jeebus thing.

Yep that was a deal-breaker for me going to AA. I eventually just quit drinking on my own after a few years, but AA being the only option for addiction support groups in many places is a bummer.

Reading 80k tokens requires more than 80k tokens due to overhead

It's just another tech hype wave. Reality will be somewhere between total doom and boundless utopia. But probably neither of those.

The AI thing kind of reminds me of the big push to outsource software engineers in the early 2000's. There was a ton of hype among executives about it, and it all seemed plausible on paper. But most of those initiatives ended up being huge failures, and nearly all of those jobs came back to the US.

People tend to ignore a lot of the little things that glue it all together that software engineers do. AI lacks a lot of this. Foreigners don't necessarily lack it, but language barriers, time zone differences, cultural differences, and all sorts of other things led to similar issues. Code quality and maintainability took a nosedive and a lot of the stuff produced by those outsourced shops had to be thrown in the trash.

I can already see the AI slop accumulating in the codebases I work in. It's super hard to spot a lot of these things that manage to slip through code review, because they tend to look reasonable when you're looking at a diff. The problem is all the redundant code that you're not seeing, and the weird abstractions that make no sense at all when you look at it from a higher level.

If you've seen many such videos, certainly you can produce one where the officer refused to identify themselves, right?

Do you have evidence of federal law enforcement officers refusing to identify themselves when making an arrest?

Easy debunk: ICE is a federal law enforcement agency. Entering or remaining in the country illegally is, by definition, illegal. ICE agents are law enforcement officers, not "deputized Proud Boys." Federal law enforceent agencies like ICE have recruitment and training processes that are well-established and documented.

https://www.ice.gov/about-ice https://www.ice.gov/careers

Consider yourself lucky that you've never had to call the cops as a victim. People forget that cops also save lives.

I genuinely cannot wrap my head around spending this much money on hardware that is dramatically inferior to hardware that costs half the price. MacOS is not even great anymore, they stopped improving their UX like a decade ago.

The productivity gains decrease with user experience. A high-performing senior engineer won't get a lot, but I think they've reached a point now where even seniors will benefit a fair amount. For me it's not really that they increase my productivity directly, but they let me offload a lot of the cognitive load. I'm getting a similar amount of work done and I don't feel as drained at the end of the day.

Wait 'til you see the bill.

DeepSeek never mopped the floor with anyone... DeepSeek was remarkable because it is claimed that they spent a lot less training it, and without Nvidia GPUs, and because they had the best open weight model for a while. The only area they mopped the floor in was open source models, which had been stagnating for a while. But qwen3 mopped the floor with DeepSeek R1.

The average user of a developer API is quite a bit smarter than the average user of, say, a mobile game

AI agents can't even do very basic things without causing absolute mayhem. Do you really think it makes sense for your basic assumption to be that your user is dumber than a token generator?

Yes, let's cite the most biased possible source: the company that's selling you the thing, which is banking on a runway funded on keeping the hype train going as long as possible...

I guess the main (valid) concern is that LLMs get so good at thought

I don't think that's a valid concern, because LLMs can't think. They are generating tokens one at a time. They're calculating the most likely token to appear based on the arrangements of tokens that were seen in their training data. There is no thinking, there is no reasoning. If they they seem like they're doing these things, it's because they are producing text that is based on unknown humans who actually did these things once.

I've "written" whole apps by going to GitHub, cloning a repo, right clicking, and renaming it to "MyApp." Impressed?

Can you provide a source