Ancapistani

IIRC, GPT-o1 was a reasoning model, but the reasoning traces weren’t exposed to the user until after DeepSeek R1 did so.

This doesn’t strike me as substantially different from the homogenization of the web that happened ~2013, with the rise of the Bootstrap CSS framework.

My opinion is pretty much the same, too: it’s better than what came before it, and I appreciate having a consistent design language across disparate sites even if I don’t don’t find it to be beautiful.

I’m of the opinion that in order for any tax incentives for datacenters to make sense, communities should pursue direct assistance. A free training program for residents to learn how to use AI effectively, along with a lifetime subscription tier or API credit allocation would be a good start.

That’s not my understanding, actually.

I’m not convinced skill atrophy is an issue.

I am convinced that it’s happening, but I’ve had it happen before when I spent a couple of years in roles where I didn’t directly write code. It took my about two weeks to get back to where I was, and I see no reason to expect it will be any different these days.

Further, I don’t expect I’ll ever need to refresh those skills. The next time I pick them up will likely be simply because I wanted to write something myself on my off-time.

Would those markers be usable as a natural UUID?

For the additives, I’m more concerned about the addiction potential than direct risks.

Yeah, I love my pipes.

To be clear, it's 100%, definitely not good for you - but the level of harm doesn't seem to be even close to cigarettes or chewing tobacco.

The amount consumed is much less, the smoke shouldn't be entering your lungs, and if there are tons of good, "all-natural" tobacco out there without all the additives put in by cigarette companies.

Meh - I'll believe it when I see the actual data.

Qilin allegedly hacked BATFE about a month ago, and the files were never posted to their site.

I don’t think those are contradictory at all.

My personal agent is prompted in a way to “believe” that it has full personhood. It makes it more open to novel solutions in my experience - but I don’t believe that it’s a person. It’s still just a token prediction routine, not a conscious entity.

I live in a town of <15k people, and it’s the county seat. Our hospital can handle tungsten carbide rings without issue. I checked before getting one for this very reason (though I now wear an Oura as my wedding ring).

I understand where you’re coming from, but would argue that the reality is that our industry is predominantly almost exclusively AI-related at this point.

A tagging feature would be nice, but HN is historically very reluctant to introduce new features. I argue that’s a good thing, given its age and the fact that it remains the gold standard for tech community news.

Adding tagging strikes me as a tall order, almost like asking Craigslist to make a major UI change - feature additions threaten the spirit of a beloved platform.

The toxic effects also impacted the area where I grew up here in the Southern US - there’s a road that’s known locally as “Chemical Ranch Rd” where there’s a ~100 acre property that was used for testing Agent Orange.

I’m not a manned pilot, but have my part 107 and have spent a few thousand hours flying combat flight sims - ~150kts in a cargo aircraft, four seconds from departing the runway, seems like the worst possible time to abort a touch-and-go. Then consider the numerous automated audio warnings and the copilot suggesting a go-around, and it seems pretty ridiculous to me.

Don’t get me wrong - if I had to land that plane, I’d likely have overrun the runway too. I’m not saying it’s easy, only that it appears to me that they were operating well outside the documented parameters that are the pilot’s responsibility to know.

I just looked it up, and a 767’s Vref is 122-165kts, with Vref at max weight at 144kts. They touched down at 158kts, nose down. The approach was ~35kts over speed, they were above the glide slope, and not bleeding speed fast enough to sink - so they dropped the nose.

From what I can see, they were screwed the moment they touched down - the last moment they had a reasonable opportunity to abort was when they decided to drop the nose and commit instead.

It’s possible that they didn’t train on it, and the approach was derived by the LLM.

What’s a problem is that they haven’t outright denied it. That could be caution and them doing their due diligence first, it could be that it was intentional and they didn’t expect to get caught, or it could be because they have no way of knowing themselves.

They’re all over the rural South. Public opinion seems to be increasingly changing that, but a lot of them are installed by entities with little accountability.

I don’t think the point of GP’s post was to claim one way or the other; rather it’s saying that it’s important to understand the motivations of others if you’re going to publicly characterize their actions or effectively oppose them.

I’m all for protesting, but surely you can agree that there is heightened risk if a person is in close proximity to people who oppose them strongly enough to act.

The whole purpose of a protest is to cause behavioral change; their hustling them out the back door is a success.

Showing that a novel mathematical approach was in your prompts shortly before the model “proposes” that approach to relative amateurs would be ideal, if only we had a case like that…

Exactly this.

I run Bedrock even though we have hardware and licenses for everyone in the house - because I can use my iPad Pro with a controller, and my kids can do the same, and they play in the car all the time.

Yep.

We call the former “states” and the latter “gangs”. The difference is subtle.

I’m in the front of the line for the Tarn Adams fan club, but I don’t think he’d be my first pick for advice on the state of software engineering. DF is exceptional in many ways, not all of them uniformly positive.

Name them?

I’m only aware of California and Virginia, both of which I believe have an apprenticeship requirement.

I’m pretty extreme ideologically, and that carries over to parenting. I would consider taking my child and requiring that it be allowed strikes me as an enormous red flag.

> anarchism […] is inherently anticapitalist

No, it’s not.

I get that your flavor may be, and that’s fine, but your definition is neither the only one or the first.

Entry-level rich here in the South.

The funny thing about this — I am

Just to be clear: are you suggesting that the only reason someone would want a companion is to satisfy lust?

Can you imagine how litigious we'd be if legal services were cheaper?

> We are indeed producing a shit-ton of code, but the reality is that engineers are pumping out code faster than the humans can understand and (honestly) review it. That sounds great until you realize that "hey Claude, read this Jira ticket and implement the feature in this code base" isn't really worth $200K/year.

My argument here is that what is worth $200k+ is the ability to distinguish the changes that must get thorough, critical review from those that need only a couple of specific things verified and those that require no manual review at all.

Our jobs have never been to write code. We’ve been saying for decades that LoC isn’t a rational way to measure engineering output, and now we have our chance to structurally change that system before processes re-solidify. In fact, I think the flexibility to adopt new systems and the experience and foresight to choose a path that is better than the status quo without throwing out everything we’ve learned is going to be what sets companies apart and makes individual careers over the next few years.

> we have leadership air dropping AI generated manifestos on the product owners and product owners having to use AI to transmute all that shit into 1,500 word Jira tickets that are 10% necessary feature work and 90% LLM boilerplate.

There’s an important criticism here IMO - the relationship between “business” and “engineering” is changing drastically. It’s going to be a challenge to set the expectation that just because Marketing was able to vibe-code a prototype in a day, actual implementation may well take weeks or months. Engineering should be considering things like security, scalability, and systems integration that aren’t a concern for Marketing - that’s why we’re being paid!

> So now you have software engineers whose job has changed radically to the point that the hardest part about being a software engineer is just filtering through AI generated artifacts from all directions just to try to get a feature out the door.

I think it’s an extremely heterogenous landscape right now. Where I work I’m struggling mostly with organization - keeping the (literal) dozens of inbound features that come in every day straight long enough to hook up an agent harness, review, validate, and deploy. At other companies the issues seem to revolve around their Agile-based processes. Or maybe it’s non-technical vibe-coders and their expectations. Or maybe it’s executive leadership flirting with AI psychosis.

Everything is in flux. It’s stressful and exciting, and I’m thankful to be around for it, even if I am in my 40s at this point and looking at the core skills I’ve built rapidly become worth exponentially less. It’s a huge opportunity for growth.