FWIW, I've found Codex with GPT-5.4 to be better than Opus-4.6; I would say it's at least worth checking out for your use case.
8,831 karma · joined August 15, 2007
Edit: no, it won't...
And yeah, it's terrible. Apple doesn't make good apps anymore.
(This is part of why I think electron does so well -- it's not as good as a really good native app [e.g. Sublime Text], but it's way better than the sort of default whatever you'll get doing native. You get a lot of niceness that's built into the web stack.)
(With this perspective, I can feel my own brain subtly oferring up a panoply of possible responses in a similar way. I can even turn up the temperature on my own brain, making it more likely to decide to say the less-obvious words in response, by having a drink or two.)
(Similarly, mimicry is in humans too a very good learning technique to get started -- kids learning to speak are little parrots, artists just starting out will often copy existing works, etc. Before going on to develop further into their own style.)
(†And even then is kind of overly-dismissive and underspecified. The "most probable word" is defined over some training data set. So imagine if you train on e.g. mathematicians solving problems... To do a good job at predicting [w/o overfitting] your model will have to in fact get good at thinking like a mathematician. In general "to be able to predict what is likely to happen next" is probably one pretty good definition of intelligence.)
> I'm not here to disparage the work that came before — I'm here to start a conversation about what can potentially come next.
Terrible LLM-slop style. Is Mr Snell letting an LLM write the article for him or has he just appropriated the style?
(Actually I have been playing with Omarchy recently a tiny bit, inspired by the absolutely devestatingly bad macOS update. Initial tire-kicking was very positive. They had a "universal copy-paste" feature that still seemed WIP at the time...i.e. didn't work everywhere...)
Suggestionms:
A version where you actually need to find sets -- "have two, find third" is way too easy.
Monospaced font -- it's too hard visually to see difference in word length right now, w/o counting letters.
Some people are perhaps overly focussed on superficial things like em-dashes. The real tells for ChatGPT writing are more subtle -- a tendency towards hyperboly (it's not A, it's [florid restatment of essentially A] B!), a certain kind of rhythym, and frequently a kind of hard to describe "emptiness" of claims.
(LLMs can write in mang styles, but this is the sort of "kid filling out the essay word count" style you get in chatgpt etc by default.)
In general I'd contend that the mindest which leads you to believe "we need to lie to our users because they are dumb" isn't conducive to making good software.
Briefly poked around w/ linux again for the first time in years (Omarchy, DHH's tune of Arch + hyprland), and hoo boy, it's come a long way! Nothing like the KDE/Gnome+X jankery of the olden times. Very polished, very slick, very nice.
E.g., "Zig takes a different path. It reveals complexity—and then gives you the tools to master it."
If we had a reliable oracle, I would happily bet a $K on significant LLM authorship.
K2 hosted on groq is pretty crazy for intellgence/second. (Low rate limits still, tho.)
(Software quality has also fallen off a cliff, though that's more a loss of instutional competence, I think, than active anti-user behavior motivated by avarice.)
(The FYP, alas, sucks, and has since forever...)
In practice obj-c apps were snappy, e.g., good perf on extremely limited hardware of original iPhone. SwiftUI (I assume) of MacOS settings app much slower than the old version it replaced -- too much heavy programmer framework magic resulting in slower final code? That's my diagnosis/guess from afar (I might be wrong ofc), a pitfall that objc did not tend to lead developers into.