stochastictrebuchet

I agree with you. I just wanted to share some nuance. The point I wanted to make is that it is in fact possible to incorporate LLMs in a fairly controlled way while calculating (estimates of) the risk of failure as well as the associated social and financial costs. I do it every day, but I’m no tech bro and dislike the ‘AI will fix everything’ types as much as everyone here.

Just fyi, that’s not entirely true. If we’re just focusing on LLMs, structured and guided generation exists. Combine that with an eval set (= unit tests), you can at least track how well you’re doing. For sure, prompt engineering misses the feeling of being in control. You’ll also never be able to claim 100% coverage (although even with unit tests that’s not something you can claim, as there are always blind spots). What you gain over traditional coding, however, is that you can tackle problems that might otherwise take an infinite number of years to express in code. For example, how would you define the rules for detecting whether an image shows a bird?

It’s just a tool like any other. Overuse is currently detestably rife. But its value is there.

Source: ML engineer who secretly hates a lot about ML but is also in awe at the developments of the last few years.

Same energy: this legendary comment in an issue on the Docker github repo (by the issue OP, no less)

https://github.com/docker/cli/issues/267#issuecomment-695149477

Huh… I had no idea. I lived there as a kid, and now you mention it, yeah – flyovers all over the place and lots of cars. I miss being able to get anywhere cheaply with the combo of KCR/MTR and taxis though.

Thanks for teaching me something new!

Row after row of copy-pasted high-rise apartment buildings does not spark joy.

Unfortunately, Hong Kong has so little buildable land, its terrain hilly with scattered flat patches, that this approach is the only one that gets you enough units for everyone. Last I heard though property prices were absolutely skyrocketing.

More to the point, a huge mall does not compare with green outdoor space to walk around in. On the other hand, there’s at least four months each year when outside is a fucking steam oven and a mall with air conditioning is 100% where you want to be.

Wait, what happened to LinkedIn?

I’d love to switch back to Linux but this is why I moved back to macOS for good several years ago. Once I got a taste of reading code at 4k/retina (faux-4k) – not to mention the better font support – there was no going back, for me at least.

If it’s considered user error for someone to want a high DPI display in 2024, then I can only surmise that people who share that sentiment have convinced themselves that more eye strain is a worthwhile tradeoff for FOSS. Commendable but a tough sell.

Another vote for hx!

Getting a productive setup for Python work is a matter of a few extra lines of TOML. The pre-release version on master also allows for multiple LSPs per language, which means I can combine pyright with ruff.

The modal key chords are verb-object instead of object-verb. It’s not a main selling point to me. However, you get multi-cursors out of the box, which I’ve always found simpler than e.g. macros. In general, keybindings are discoverable. I learn something new every week.

All in all, despite a few rough edges, it’s a nice alternative to needing to get a PhD in neovim configuration to get anywhere remotely near the cool setups other people are rocking.