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Feeling pretty discouraged after taking yet another spin around the tech interview circuit for naught
I was feeling pretty good this time around as I've interviewed with this company before and was runner up for previous role. The hiring manager contacted me for this new one, and again I aced it until the final stage where I got punted for the all nebulous "culture fit" reasoning. My mood isn't helped by the constant AI doom clouds hovering overhead that makes me wonder if I need to make bigger career changes.

How's everyone else fairing out there?

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?

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Have you watched any movies recently you want to discuss? Any films 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.

Did you fear adverse weather conditions like icy roads? How did you handle them?
Did you initially consider yourself as too incompetent to drive?
Were you afraid of breaking traffic laws?
Were you afraid of getting into an accident?
Did you face any of these situations and how did you handle them?
Are you still afraid of driving?

Has anyone solved the Wordle at wordleunlimited.org today? I just got the answer on my first try, which seems unlikely to say the least. I think it could be a malfunction. Would anyone mind posting the answer under a spoiler box so I can check? Thanks!

Update: Thanks, folks! It seems like the site uses a different word for each person. It also seems like it's working fine. So, go me! Or it was a one-off problem. My word was AUDIT, btw.

TLDR/Warning: this might be a tedious read. But I'm curious if I could have gone about rating my albums better.

I tend to simply either favourite an album or not. The idea of giving albums and tracks marks out of five stars seems tedious, difficult to match to how I feel and just doesn't match how my head works. But my collection has grown over the decades and I've been bed bound a lot lately, so I'm trying to organise/categorise based on my feelings towards the albums rather than genre. I'm also hoping to rejuvenate my old interest in music (playing in a band and recording for a living took the shine off of casual listening for me). I thought it would be an interesting experiment to try out, so I rated songs from over 50 albums.

I came up with a rigid and hopefully balanced definition for each rating:

• 1 star - Dislike. I hope I never hear this song again (but I'll keep it purely because it's part of the album)
• 2 stars - Neutral. It doesn't annoy me, but it's too generic to be interesting
• 3 stars - Sometimes this song hits the spot.
• 4 stars - This song usually hits the spot.
• 5 stars - This song always hits the spot.

Then I rate the album out of five stars based on the average of the song ratings. The result is that no albums got 5 stars, a seven got 4 stars, the vast majority of albums are rated at 3 or 2 stars. Even among the 3-star albums, some I like much more than others depending on whether they contain mostly consistent 3-star songs or half 4-star songs and half 2-star songs.

I wonder if the lack of 5-star albums is because of the definitions I gave each of the 1-5-star possibilities. For example, I don't know if any song "always hits the spot". Or maybe it's just that I'm not as into my music as I used to be.

Anyway, I thought maybe people interested in music and data might have thoughts on going about this differently. It's worth asking before I do the next 1,000 albums :) Maybe you'd define each of the 5 stars differently. Any takers?

Edit: thanks to everyone for reading all this and commenting their thoughts. I have a system I'm happy with now, but always happy to continue to chat with fellow (and reluctant) pedants about this.

I’m in the process of helping someone come up with lore and I was wondering if there was a website to help with suffixes related to lore and mythology. Things like adding ist, kin, age, folk, etc to try and make new words for beings or creatures.

Tildes is a very serious site, where we discuss very serious matters like sunsetting, subnautica.2 and delphi. Tags culled from the highest voted topics from the last seven days, if anyone was living under a rock.

But one of my favourite tags happens to be offbeat! Taking its original inspiration from Sir Nils Olav III, this thread is looking for any far-fetched offbeat stories lurking in the newspapers. It may not deserve its own post, but it deserves a wider audience!

For a while I've had a habit of collecting hobbies and moving from one thing to another. Sometimes I stay in the hobby for a long time, but eventually I move on. Even within a hobby I have some subhobbies that I move between (in TCG's I've moved from MTG to Flesh and Blood to now Riftbound, but I'll still jam some MTG games too of course). I used to be more into weightlifting, now I only go to the gym for chest day because I've been doing rock climbing for a year and have recently picked up archery.

For people who kinda do similar things, what's a favorite hobby you've collected? Have you dropped it or pulled back from it once you found a new hobby? What's your latest hobby that you've been into? Do you still keep your old ones, and how do you balance everything and find new hobbies to try?

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.

What have you been listening to this week? You don't need to do a 6000 word review if you don't want to, but please write something! If you've just picked up some music, please update on that as well, we'd love to see your hauls :)

Feel free to give recs or discuss anything about each others' listening habits.

You can make a chart if you use last.fm:

http://www.tapmusic.net/lastfm/

Remember that linking directly to your image will update with your future listening, make sure to reupload to somewhere like imgur if you'd like it to remain what you have at the time of posting.

I have a friend who recently started reading fiction books for the first time since he was a teenager. It's been great recommending him some books, and he is currently exploring different genres to find ones he likes with a goal of one book a month this year. I was chatting with him about his reading today and this got me thinking about the books I enjoy and associated tropes of different genres.

This made me think it might be fun seeing what my fellows tilders think about tropes in books.

• Do you have any tropes in books that you love?
• On the flip side, do you have any tropes that you can't stand?
• Are there any novels that execute these tropes well/poorly?
• Do you find yourself enjoying tropes being subverted?
• Anything else trope related you want to chat about!

As part of a weekly series, these topics are a place for users to casually discuss the things they did — or didn't do — during their week. Did you accomplish any goals? Suffer a failure? Do nothing at all? Tell us about it!