kranner

7 ms·

61.
by kranner 8mo ago
Great and important work! This is related to why current Babelfish-like devices make me uneasy: they propagate bad and sometimes dangerous translations along the lines of "Traduttore, traditore" ('Translator, traitor').
62.
by kranner 8mo ago
Allegedly the 'clear' answer is much easier to manipulate than gaming PageRank ever was: https://x.com/thomasgermain/status/2024165514155536746
63.
by kranner 8mo ago
r/macapps is also putting new requirements in place [1], requiring among other things a statement of what your app solves, how it's better than existing solutions and even a changelog/roadmap. I would bet just the first two t
64.
by kranner 8mo ago
Also, just a URL with no explanation and no supporting text in the post. If the poster can't be bothered to talk about why they made it... actually it's not even that. Just say hello, at least a hello. Show your audience you'
65.
by kranner 8mo ago
> Why? VERY good design signals this is tasteful and quality. Not an AI-slop-vibe-mess. I'm not too sure about this. Very good design, at least in terms of marketing materials such as screenshots, may be end up signalling the use of
66.
by kranner 8mo ago
> "Crystallized intelligence" and "emotional intelligence" are the consolation prizes no one really wants. Strongly disagree. Crystallized intelligence lets me see analogies and relations between disparate domains, ab
67.
by kranner 8mo ago
> I just don't think there was a great way to make solved problems accessible before LLMs. I mean, these things were on github already, and still got reimplemented over and over again. I'm not sure people wrote emulators, of al
68.
by kranner 8mo ago
I'm seeing the same thing with my own little app that implements several new heuristics for functionality and optimisation over a classic algorithm in this domain. I came up with the improvements by implementing the older algorithm and
69.
by kranner 8mo ago
How is it out of distribution? There are plenty of Python libraries for sound and music generation; it would be surprising if they were not in the training set. There's a general pattern becoming evident of people being surprised with
70.
by kranner 8mo ago
> Guess what, they got over it. You will too. Prediction is difficult, especially of the future.
71.
by kranner 8mo ago
> my hunch is if it's in it's training dataset and you know enough to guide it, it's generally pretty useful. Presumably humanity still has room to grow and not everything is already in the training set.
72.
by kranner 8mo ago
Assuming the prototypes are functional.
73.
by kranner 8mo ago
Me too! Sometimes I find it easier to ask an LLM to generate something and then it's easier to discard the whole thing, muttering under my breath "no no no that's not how you do this" and write my own code. It would be n
74.
by kranner 8mo ago
There must be another table. I got "Are you Australian?" for "dingo" and for "cicada" "don't you love their songs?" edit: https://rose.systems/animalist/eggs.js
75.
by kranner 8mo ago
It's a reference to this article about entirely automated software production (eventually and hypothetical): https://news.ycombinator.com/item?id=46739117
76.
by kranner 8mo ago
I suppose the billionaire-assigned AI will let you know if you have the gift of King and Koontz or not.
77.
by kranner 8mo ago
Film studies is kind of well known for being a vanity degree for rich people's kids. At least all the film studies students I know from India who're studying in the US are without exception the kids of super-rich businessmen and p
78.
by kranner 8mo ago
> The same pattern holds at the elite levels of most things. How does it hold for writing?
79.
by kranner 8mo ago
Fine, but is that the entirely of software development? It even seems a waste of time by your own reasoning if it's so automatable already.
80.
by kranner 8mo ago
Following an Olympic champion's training routine is not a bad idea if you don't expect it to make you an Olympic champion! It might be a great improvement on your current training routine though, if you're interested in the s
81.
by kranner 8mo ago
And how do you know you're not as good as Stephen King or Dean Koontz if you never even try? What AI seems to be amazing for is to persuade people to freeze themselves in place and accept their overlord-assigned stations in life. You&#
82.
by kranner 8mo ago
Maybe that works for industrialised production of completely well defined software. I don't think it leads to any kind of creative output.
83.
by kranner 8mo ago
The way you come up with ideas on how to break, red team and exploit; when to do this and how to stop: that part is not objective. The machine can't do this for you sufficiently well. There is a subjective process in there that you&#x2
84.
by kranner 8mo ago
You can't test everything. The input space may be infinite. The app may feel janky. You can't even be sure you're testing all that can be tested. The code may seem to work functionally on day 1. Will it continue to seem to wo
85.
by kranner 8mo ago
> If you ask AI to write a document for you, you might get 80% of the deep quality you’d get if you wrote it yourself for 5% of the effort. But, now you’ve also only done 5% of the thinking. This, but also for code. I just don't tru
86.
by kranner 8mo ago
> written Farsi doesn’t include short vowels… so can you derive pronunciation from the text using rules? You can't, but Farsi dictionaries list the missing short vowels/diacritics/"eraab" for every word. For inst
87.
by kranner 8mo ago
When they send these 30-question surveys, surely they must be aware that the people who respond are not a random sample of the customer population but a sample of the subpopulation that is willing to take a 30-question survey for them?
88.
by kranner 8mo ago
A lot of the context is not even explicit, unlike the case for toy problems like MNIST.
89.
by kranner 8mo ago
Ah, thanks for explaining!
90.
by kranner 8mo ago
Similar story here but for ADHD and Atomoxetine. I finally went and got diagnosed at age 46 for what had been an childhood-onset issue in retrospect. All the signs were there: inability to start work until enough challenge or novelty or a s

More ›