BlueMonday1984Mar 9

Stubsack: weekly thread for sneers not worth an entire post, week ending 15th March 2026

https://awful.systems/post/7536143

Stubsack: weekly thread for sneers not worth an entire post, week ending 15th March 2026 - awful.systems

Want to wade into the snowy surf of the abyss? Have a sneer percolating in your system but not enough time/energy to make a whole post about it? Go forth and be mid. Welcome to the Stubsack, your first port of call for learning fresh Awful you’ll near-instantly regret. Any awful.systems sub may be subsneered in this subthread, techtakes or no. If your sneer seems higher quality than you thought, feel free to cut’n’paste it into its own post — there’s no quota for posting and the bar really isn’t that high. > The post Xitter web has spawned so many “esoteric” right wing freaks, but there’s no appropriate sneer-space for them. I’m talking redscare-ish, reality challenged “culture critics” who write about everything but understand nothing. I’m talking about reply-guys who make the same 6 tweets about the same 3 subjects. They’re inescapable at this point, yet I don’t see them mocked (as much as they should be) > > Like, there was one dude a while back who insisted that women couldn’t be surgeons because they didn’t believe in the moon or in stars? I think each and every one of these guys is uniquely fucked up and if I can’t escape them, I would love to sneer at them. (Credit and/or blame to David Gerard for starting this.)

Show threadYourNetworkIsHaunted

FT reports from Amazon insiders that they’re investigating the role AI-assisted development has played in a spate of recent issues across both the store and AWS.

FT also links to several previous stories they’ve reported on related issues, and I haven’t had the time to breach the paywalls to read further, but the line that caught my eye was this:

The FT previously reported multiple Amazon engineers said their business units had to deal with a higher number of “Sev2s” — incidents requiring a rapid response to avoid product outages — each day as a result of job cuts.

To be honest, this is why I’m skeptical of the argument that the AI-linked job losses are a complete fabrication. Not because the systems are actually there to directly replace the lost workers, but because the decision-makers at these companies seem to legitimately believe that these new AI tools will let their remaining workforce cover any gaps left by the layoffs they wanted to do anyways. It sounds like Amazon is starting to feel the inverse relationship between efficiency and stability, and I expect it’s only a matter of time before the wider economy starts to feel it too. Whether the owning class recognizes what’s happening is, of course, a different story.

Amazon holds engineering meeting following AI-related outages

Ecommerce giant says there has been a ‘trend of incidents’ linked to ‘Gen-AI assisted changes’

Financial Times
Mar 10 at 2:59pmWeb
Show threadmirrorwitchMar 10

So oil prices are down again, and on nothing but a promise from Trump and a promise from the EU. The economy has proved remarkably resilient to me; the attack on Iran is like, wild nonsense number 17 that the USA regime did that I thought would trigger a major recession, and didn’t.

I mean don’t get me wrong, things are much worse now than 3 years ago, clearly. But they’re not like, Great Depression worse. They’re not even 2008 worse. It’s just a certain level of degradation (cost of living is higher, purchasing power is lower, concentration of wealth is higher etc.) that people got used to as the new normal. People can get used to lots of things.

To make the IT analogy, I think the global economy is like Twitter. Sure, it feels like a Jenga tower held up by thoughts and prayers, but it’s holding up. When Musk took over I really did think his catastrophic management philosophy would completely break Twitter, but no, it trudges on. Yes, moderation is now nonexistent, and I’m told it’s down more often, and often in “soft downtime” like notifications not working, or DMs, or some other feature, or it’s working but slow, and so on. But clearly the site is up most of the time and more or less functional. Users just get used to degraded quality as the new normal.

I predict AWS will 1) get slower and costlier thanks to “AI”, with higher downtime, at higher stress for the workers; 2) the leadership will refuse to see or admit or even consciously be aware of this; 3) the worsened services will be the new normal. I predict similar developments for the socioeconomic situation of the world, too; though I’m not ruling out a spiral into complete recession, either.

Show threadsamvinesMar 11

I somewhat agree although when the “other shoe drops” and these things start impacting the money men they may start to realise AI isn’t the magic cure they thought it was (he says kind of hopefully)

6 hours of downtime for Amazon shopping. A very simple back of a napkin calculation. They made $716.9bn in sales in q4 2025. So divide that by 90 days and then 24 hours and multiply by 6… We are talking a $2bn loss for 6 hours downtime… That is not an insignificant amount of money. I imagine most bosses would be screaming for heads having lost that much money in sane non-hyper-scaled businesses.

Show threadYourNetworkIsHauntedMar 11
It’s also a trend that I don’t see stopping without a major structural change. I don’t think there’s a point at which they’re going to say “we’ve cut enough corners and are going to stop risking stability and service degradation.” The principal structure driving the economy, especially in the tech sector, is organized around looking for new corners to cut and insulating the people who make those choices from accountability for their actual consequences.
Show threadlurkerMar 10
to follow this one up: there is now a new study about AI agents being dogshit at keeping code working for over 8 months
SWE-CI: Evaluating Agent Capabilities in Maintaining Codebases via Continuous Integration

Large language model (LLM)-powered agents have demonstrated strong capabilities in automating software engineering tasks such as static bug fixing, as evidenced by benchmarks like SWE-bench. However, in the real world, the development of mature software is typically predicated on complex requirement changes and long-term feature iterations -- a process that static, one-shot repair paradigms fail to capture. To bridge this gap, we propose \textbf{SWE-CI}, the first repository-level benchmark built upon the Continuous Integration loop, aiming to shift the evaluation paradigm for code generation from static, short-term \textit{functional correctness} toward dynamic, long-term \textit{maintainability}. The benchmark comprises 100 tasks, each corresponding on average to an evolution history spanning 233 days and 71 consecutive commits in a real-world code repository. SWE-CI requires agents to systematically resolve these tasks through dozens of rounds of analysis and coding iterations. SWE-CI provides valuable insights into how well agents can sustain code quality throughout long-term evolution.

arXiv.org
Show threadjaschopMar 10

Unfortunately the paper structure screams “AI senpai, notice me!”

AI coding agents seem bad at this job yet, but if you optimize for our benchmark…