Recent submissions

Comment · 2 months ago
You're right, hunk is official git wording that I didn't know and I should know since I use --patch flag... It's just that I never heard a human (including online) reason about hunks. While at the same time (from my observation) people say things like code chunk, code snippet etc. a lot.
Comment · 2 months ago
Thank you, my dict.cc search history contains exactly some of these words. I felt like my english got much worse but when Claude kept talking about "hunk" over and over I felt like the problem is maybe not on my end.
Comment · 2 months ago
Not to bring LLMs into everything but I think they make using boring stuff more likely. Since training data contains a lot of it and less of the shiny new stuff.
Comment · 2 months ago
I can completely relate, what really bothers me is that I feel the early LLM generations overconfidence is back in Opus 5. Opus 5 wanted to tell me a training run will only take 30min while having access to the logs where earlier runs took 4x as long. I also didn't ask to estimate how long the run will take it just stated confidently that it will take 30mins.
Comment · 2 months ago
> Making a decision based on only qualitative data

I suppose you meant quantitative and it's just a typo

Comment · 3 months ago
Maybe LLMs don't usher in the end of software engineering but they definitely end the whole "made with love (and coffee) in X". Nobody cares if you put effort into something software related. "Does it work? Yes? Ok build the next thing." Its the same with the notion of "taste" (see "sometimes tasteless computer code" from the Goedecke article), your colleague who is also a SE might respect your choices as good taste. But it ends there. This was also the case pre-LLMs I would argue. What is worse now is that communicating any uncertainty in decisions related to implementation will result in an immediate "Have you asked Claude?".
Comment · 8 months ago
Comment · 8 months ago
Is the 1 cm spec 1σ (or less) or worst-case? It’s a safety-critical application.
Comment · 8 months ago
There seems to be a moat like infrastructure/gpus and talent. The best models right now come from companies with considerable resources/funding.
Comment · 9 months ago
That was not mar a Lago but in New Jersey
Comment · 9 months ago
Comment · 9 months ago
"4,000 tons is almost four million kilograms"
Comment · 9 months ago
What does "wolf in sheep's clothing" mean for you, concretely, outside of metaphors?

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