One of the points the article makes is that people boost such content despite knowing it’s fake because it confirms what they’re ’feeling’. Want to feel outrage? Here’s an image that will let you and others feel that. Truth? Irrelevant.
In short: it’s the ‘facts don’t care about your feelings’ crowd doing what they do best: recasting reality as a jumble of vague feelings.
Pastes 300k tokens worth of scp and creepy pasta lore into the prompt
“Sweet dreams, Timmy”
Just a few more years until we’ve fully migrated to SAP’s WiFu system
Vivaldi is chrom_ium_. Been trying out the last month on macOS. Great browser, although it’s funny how for some settings you get taken to a different page that looks 100% like Chrome except with Vivaldi branding.
Vivaldi on iOS doesn’t feel as great though – less ‘native’. Certain gestures and animations just don’t quite fit.
Shoutout to Webkit-based Orion for both platforms. Slowly gravitating to that
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.
Guess they made it a bit too easy to access
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
Out of curiosity, do you have to refine it somehow, or is it good to eat straight from the tree?
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.
You forgot Quora. That site used to be semi-useful. These days I can never tell whether I’m reading an actual answer to the question or just some random recommended post that’s been shoved in in between.
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.
All my old macbooks eventually get the Linux treatment. On modern hardware, however, the trade-offs of non-macOS just don’t make sense to me.
For now, Apple Silicon has made a fanboy out of me. I can’t overstate how big the jump in performance felt going from intel to my first M1 – not to mention the improved thermals. And obviously part of that is due to excellent alignment between hardware and software.
Still, once that first M1 hits retirement, I’ll no doubt experience that familiar pang of gratitude towards those engineers that put up with the trade-offs of running Linux on it today in order to get everything working.
‘Small businesses’