Sivart13

I've heard this "reversing covid-era headcount growth" for every layoff for the past 4 years, how much headcount growth is there to reverse?

surely once there's been enough patches the code will be perfect though?

tons of people these days reflexively respond to long comments saying they're AI

one could wonder, how many of these reflexive AI replyers are themselves AI

This was the most male gazey article I've read linked from HN. Some real Don Draper vibes.

Well put. I've found that agents are great at adding features to areas of the code that I already understand, where I can phrase my goals coherently and keep them on the rails.

Any attempt to describe software by "specification" leaves enough ambiguity that the agent will do deranged stuff like add a ton of code to satisfy error cases that can't happen. Or, like you imply, it will confidently create a bunch of nonsense to "solve" a problem in a way that is not really possible.

I wish we could go just one day without a company proudly engaging in Torment Nexus related activities.

> a lot of people (myself included, a few years ago now) have been through this moment of existential crisis and come out the other side

It's not that binary for me. Sometimes I'm on board, sometimes I'm chewed up by existential dread.

It doesn't help that there's no time to really acclimate. The entire world economy is pointed directly toward making this thing as powerful (dangerous) as possible, as fast as possible.

Great idea, get an AI art tattoo so you can always be reminded how AI art looked in 2026.

Test coverage for its own sake is not always a worthwhile goal.

"Confidently wrong" is definitely a standard behavior model for LLMs.

I agree with the other reply that you're likely to get better results if it has some kind of test case to run that's more authoritative than its own reasoning.

> Here’s the problem. AI agents are not bound by human context limits in the same way. An agent can read the tangled function, trace every caller, and make sense of the mess that would have stopped a human cold. It can add the next branch correctly, and the one after that, working confidently inside code that no human on the team fully understands anymore.

They're not bound by the same limits but they're still bound by some limits, yeah?

I'm not an AI expert, so I don't honestly understand why LLM driven agents are as good as they are. But my impression is "trace every caller", most of the time, is still an approximation. Once the code has gotten convoluted enough, cases are going to get dropped.

> So the real news here is what "sustainable foundation" means.

I think that's answered pretty well by the 5 ads that open when I visit the announcement page on nexusmods.com link in the OP vs the speedy and clean UI that on the steamdb.info version (for now).

It's completely insane to me that the first search for Okta in the app store isn't the actual Okta app, it's a half-page ad for something that could easily be confused with the Okta app

substitute for literally any business name

Sure, I know the right one to click on, if I'm in a sound state of mind. What if I'm sleepy? Stressed? 65+ years old?

I guess if we failed to Prevent Nuclear Terror the bunker denizens of the future are gonna need somewhere to hang out.

The solution to most of these problems lies in policy, not in new tech advancements.

Maybe if our biggest companies did something other than suck up to science denying wackos, some progress could be made in these areas.

Why would we want to have robot cars that only drive as good as humans can?

no accountability so far

when I retire I'm opening a bar for AI Agents called The Honest Caveat

If anything Claude writes too many comments. Instead of clean code it dumps walls of text describing a given 'if' as a 'user-grained access-gated control-correcting flow-valve'.

you don't need to be an LLM to have LinkedIn brain, but it helps

This is the major part of her argument I didn't understand.

As I see it, the "infra as code" transition means going from more ad-hoc changes to less. Predictable, auditable.

Using LLMs to replace mostly-working code with a new, nondeterministically different version seems entirely different to me. You've identified a problem in the code, great, let's rewrite it from spec. Now it fixed the problem! But did it introduce more problems? Hope you used enough tokens, I guess!

This is the key, every AI company makes a big deal about how AGI will be transformative but we're just supposed to take it on faith that this transformation will be good.

absolute underpants gnomes reasoning

As someone who has seen srcset and picture but never used them in practice, the background was kind of useful. but I can understand people finding it annoying

I don't think they changed much about the ending. There's one scene added that's not in the book, but the outcomes are all the same.

FACO, f around and cash out

Not all tech employers are total weenies who would refuse to hire someone for taking this stance.

Most are, but not all.

...so?

> Maybe with 10 gigawatts of compute, AI can figure out how to cure cancer.

Something I've never understood: why do AGI perverts think that a superintelligence is any more likely to "cure cancer" than "create unstoppable super-cancer"

[flagged]

this was supposed to be exactly that