Have you watched any TV shows recently you want to discuss? Any shows you want to recommend or are hyped about? Feel free to discuss anything here.

Please just try to provide fair warning of spoilers if you can.

I was talking to a dear friend of mine who told me years ago how he has been physically abused by his wife and how hard it was for him to share this, because so few people believed his story. Or laughed when he dared to share. Yesterday we talked about how hidden these stories are. He believes it is a lot more prevalent than it seems. People are just to ashamed to share or afraid they won’t be believed.

I recognised his trouble. I was abused by my mother for years, physically and mentally, after she separated from my dad (who she abused as well). In my life I have shared this story to only a handful of people, often being disappointed by their reactions.

What made this especially difficult was how my mom managed to convince me and the people around my family that my dad was actually the aggressor. ‘Woman gets beat up by man’ is just a lot more believable.

In hindsight, it feels like such a twisted dynamic, where my mom as a female abuser used the stories of actual female victims to hide or defend her own abuse.

Of course I do not in any way want to diminish the aggression that women experience. It is a lot more prevalent, and this issue needs all the attention it can get.

I was just wondering if there are any other men here who are victims from female abusers and if you recognise the difficulty in sharing your story as well.

Increasingly I'm looking at my backup solution and I'm not totally happy. My "threat model" I guess is if the house burns down and we only make it out with the shirts on our backs. Alternatively if I get hit by a bus I'd like a backup of passwords and maybe some instructions for my wife.

TL;DR What are decent medium term cold storage options for < 1gb that I can be really sure will be good for several years (maybe 10 or 20 years at the extreme end) and is fairly cheap. I was thinking optical media but I'm kind of lost as to what specifically to get and how to not get conned by buying fake media (m discs). I (somewhat randomly) have an m disc drive in my computer but I don't know if thats overkill or not? My important stuff may even fit on a CD actually...

I was really taken by the sound of Laufey’s Madwoman and am looking for the older music which inspired her.

The internet, however, has not been helpful. Between citing “The Great American Soundbook”¹ as her inspiration, or declaring its “clearly” bossa nova², i’m really lost. One person said “60s lounge,” which seemed promising³ but searching that brings a ton of AI-generated slop-and-slop-byproducts.

Is there a better term for what she’s referencing? Specific artists? Specific regions even?

1. which doesn’t sound the same to me at all
2. which no the fuck it is not, i, a brazilian, say
3. another person said “70s lounge”

For a long time programmers have had two types of program verification tools, static analysis (like a compiler's checks) and dynamic analysis (running a test suite). I find myself using LLMs to analyze newly written code more and more. Even when they spit out a lot of false positives, I still find them to be a massive help. My workflow is something like this:

1. Commit my changes
2. Ask Claude Opus "Find problems with my latest commit"
3. Look though its list and skip over false positives.
4. Fix the true positives.
5. git add -A && git commit --amend --no-edit
6. Clear Claude's context
7. Back to step 2.

I repeat this loop until all of the issues Claude raises are dismissable. I know there are a lot of startups building a SaaS for things like this (CodeRabbit is one I've seen before, I didn't like it too much) but I feel just doing the above procedure is plenty good enough and catches a lot of issues that could take more time to uncover if raised by manual testing.

It's also been productive to ask for any problems in an entire repo. It will of course never be able to perform a completely thorough review of even a modestly sized application, but highlighting any problem at all is still useful.

Someone recently mentioned to me that they use vision-capable LLMs to perform "aesthetic tests" in their CI. The model takes screenshots of each page before and after a code change and throws an error if it thinks something is wrong.

Server host: tildes.nore.gg (Running Java 1.21.11)
Verification site: https://tildes.nore.gg
BlueMap: https://tildes.nore.gg/map/
Patreon: https://www.patreon.com/TildesMC

The server operates on a soft whitelist. Anyone can log in and walk around, but you need a Tildes account to gain build access.

We recommend you install our mod web-chat so that you can chat while in your web browser. It turns the server into an old-school chat room.

<- Previous Thread Next Thread ->

This is a recurring post to discuss programming or other technical projects that we've been working on. Tell us about one of your recent projects, either at work or personal projects. What's interesting about it? Are you having trouble with anything?

The "nobody" in the title doesn't have to be literal -- it can be a battle that very few people know about. The important thing is that it's mostly hidden.

What is the struggle?
Is it hidden by choice?
Do you want more people to know about it? Why or why not?

I've found myself replying to different people about the early 2025 METR study kind of often. So I thought I'd try posting a top level thread, consider it an unsolicitied public service announcement.

You might be familiar with the study because it has been showing up alongside discussions about AI and coding for about a year. It found that LLMs actually decreased developer productivity and so people love to use it to suggest that the whole AI coding thing is really a big lie and the people who think it makes them more productive are hallucinating.

Here's the thing about that study... No one seems to have even glanced at it!

First, it's from early 2025, they used Claude Sonnet 3.5 or 3.7. Those models are no way comparable to current gen coding agents. The commonly cited inflection point didn't happen until later in 2025 with, depending on who you ask, Sonnet 4.5 or Opus 4.5

The study was comprised of 16 people! If those 16 were even vaguely representative of the developer population at the time most of them wouldn't have had significant experience with LLMs for coding.

These are not tools that just work out of the box, especially back then. It takes time and experimentation, or instruction, to use them well.

It was cool that they did the study, trying to understand LLMs was a good idea. But it's not what anyone would consider a representative, or even well thought out, study. 16 people!

But wait! They did a follow up study later in 2025.

This time with about 60 people and newer models and tools. In that study they found the opposite effect, AI tools sped developers up (which is a shock to no one who has used these tools long enough to get a feel for them). They also mentioned:

However the true speedup could be much higher among the developers and tasks which are selected out of the experiment.

In addition they had some, kind of entertaining, issues:

Due to the severity of these selection effects, we are working on changes to the design of our study.

Back to the drawing board, because:

Recruitment and retention of developers has become more difficult. An increased share of developers say they would not want to do 50% of their work without AI, even though our study pays them $50/hour to work on tasks of their own choosing. Our study is thus systematically missing developers who have the most optimistic expectations about AI’s value.

And...

Developers have become more selective in which tasks they submit. When surveyed, 30% to 50% of developers told us that they were choosing not to submit some tasks because they did not want to do them without AI. This implies we are systematically missing tasks which have high expected uplift from AI.

And so...

Together, these effects make it likely that our estimate reported above is a lower-bound on the true productivity effects of AI on these developers.

[...]

Some developers were less likely to complete tasks that they submitted if they were assigned to the AI-disallowed condition. One developer did not complete any of the tasks that were assigned to the AI-disallowed condition.

[...]

Altogether, these issues make it challenging to interpret our central estimate, and we believe it is likely a bad proxy for the real productivity impact of AI tools on these developers.

So to summarize, the new study showed a productivity increase and they estimate it's larger than the ~20% increase the study found. Cheers to them for being honest about the issues they encountered. For my part I know for sure that the increase is significantly more than 20%. The caveat, though, is that is only true after you've had some experience with the tools.

The truth is that we don't need a study for this, any experienced engineer can readily see it for themselves and you can find them talking about it pretty much everywhere. It would be interesting, though, to see a well designed study that attempted to quantify how big the average productivity increase actually is.

For that the participants using AI would need to be experienced with it and allowed to use their existing setups.

I want to add that this is not an attempt to evangelize for AI. I find the tools useful but I'm not selling anything. I'm interested in them and I stay up to date on the conversations surrounding them and the underlying technology. I use them frequently both for my own projects and to help less technical people improve their business productivity.

Whether AI agents are a good thing or not, from a larger perspective, is a very different, and complicated, conversation. The important thing is that utility and impact are two different conversations. There isn't a debate anymore about utility.

I know this probably won't stop people from continuing to derail conversations with the claim that developers are wrong about utility, but I had to try. It's just hard to let it pass by when someone claims the sky is green.

I understand that AI makes people angry and I think they have good reason to be angry. There are a lot of aspects of the AI revolution that I'm not thrilled about. The hype foremost, the FOMO as part of the hype, the potential for increased wealth consolidation really sucks, though I lay that at the feet of systems that existed before LLMs came along.

It's messy, but let's consider giving the benefit of the doubt to professionals who say a tool works instead of claiming they're wrong. Let them enjoy it. We can still be angry at AI at the same time.

I noticed bluesky is down.

I haven't seen news about this yet so I wonder if it is just a temporary tech problem or a DOS.

I'm getting this error or an error about rate limiting:

Hmm, some kind of issue occurred when contacting the feed server. Please let the feed owner know about this issue.
Message from server: Upstream server responded with a 503 error