usrbinbash

10 ms·

31.
by usrbinbash 8mo ago
> Spending 4 years evaluating something that’s changing every month means almost nothing, sorry. No need to be sorry. Because, if we accept that premise, you just countered your own argument. If me evaluating these things for the past 4
32.
by usrbinbash 8mo ago
> but to catch any low hanging fruit before you spend your valuable time reviewing. And that would be great, if it wern't for the fact that I also have to review the reviewers review. So even for the "low hanging fruit",
33.
by usrbinbash 8mo ago
I mean, git is just as "local-first" (a git repo is just a directory after all), and the standard git-toolchain includes a server, so... But yeah, fossil is interesting, and it's a crying shame its not more well known, for th
34.
by usrbinbash 8mo ago
> It sounds to me like you may not have used a lot of these tools yet And this is more and more becoming the default answer I get whenever I point out obvious flaws of LLM coding tools. Did it occur to you that I know these flaws precise
35.
by usrbinbash 8mo ago
> My answer to this is to often get the LLMs to do multiple rounds of code review So I am supposed to trust the machine, that I know I cannot trust to write the initial code correctly, to somehow do the review correctly? Possibly multipl
36.
by usrbinbash 8mo ago
> What changed is the volume, clearly. The change in volume was the tipping point between bug bounties being offered and devs being able to handle bad reports, and bug bounty nixed because devs no longer willing to handle the floos. And
37.
by usrbinbash 8mo ago
The point is that "can happen without [THING] as well" does not mean the argument "[THING]s existence exacerbates the problem" is wrong.
38.
by usrbinbash 8mo ago
No shit? When I outsource thinking to a chatbot, my brain gets less good at thinking? What a complete and utter surprise. /s
39.
by usrbinbash 8mo ago
It very much is also a tool problem. LLMs have been marketed for years, with great meadia fanfare, as being almost magical, something that can do the job of software engineers. Every week, the hype is driven further. This matters. When peop
40.
by usrbinbash 8mo ago
> This is silly, people don't need AI to send you garbage People also don't need cigarettes to fall ill. But smoking still causes health problems.
41.
by usrbinbash 8mo ago
Scenario 1: US troops land and just stay there Scenario 2: US troops land and would now have to deal with some NATO soldiers. Regardless of how many NATO soldiers we're talking about, the geopolitical stakes in S2 are orders of magnitu
42.
by usrbinbash 8mo ago
> He said he had yet to find anyone who could refute this. Which is why it's so important for people understand the Principle of Parsimony (aka. Occams Razor), and Russels Teapot. Also, refuting it is rather easy, and doesn't e
43.
by usrbinbash 8mo ago
> I definitely prefer public private over case defined visibility. And I think `public` and `private` keywords are a verbose mess that adds nothing to a language. > You can't use an array for different types. Yes I can. I even pr
44.
by usrbinbash 8mo ago
> The mixed capitalizing based on function privacy, to me, is awful Awful compared to ... what? `private` and `public` keywords? Ugly hacks like pythons `_` and `__`? > it just feels very hacked together > the wonky generics What e
45.
by usrbinbash 9mo ago
> AI progress is stalling. Human equivalence was a mirage Oh how the turn tables :D
46.
by usrbinbash 9mo ago
Or customers will find other providers who don't annoy them.
47.
by usrbinbash 10mo ago
Okay, so, should I not ask it about facts? Because, one way or another, we will need to do that for LLMs to be useful. Whether the facts are in the training data or the context knowledge (RAG provided), is irrelevant. And besides, we are su
48.
by usrbinbash 10mo ago
Let's see: Is Walmart a utility provider, or a retailer? https://en.wikipedia.org/wiki/Walmart > Walmart Inc.[a] is an American multinational retail corporation
49.
by usrbinbash 10mo ago
> Time to retract your entire little rant. https://techrights.org/n/2025/08/22/Enshittification_of_Airp... You were saying?
50.
by usrbinbash 10mo ago
All privatizations of public infrastructur and services are failures, simply due to the discrepancy between the interests: The public wants: Cheap, reliable, quality services. A corporation wants: Maximized Revenue. The two inevitably clash
51.
by usrbinbash 10mo ago
Yeah, sorry, but if the user friendly alternative to the VT100 emulators is anything like Jupyter, then I'll happily keep using alacritty, konsole and xterm, thanks.
52.
by usrbinbash 10mo ago
> It's absolutely insane to me how bad the user experience is with video nowadays Has nothing to do with video per se. Normal embeddings, using the standard `<video>` element and no unnecessary JS nonsense, still work the same
53.
by usrbinbash 11mo ago
Yes, of course I can. I have a separate binding in my tmux config to copy to the clipboard.
54.
by usrbinbash 11mo ago
> Scaling applies to multiple dimensions simultaneously over time. A frontier model today could be replicated a year later with a model half the size Models "emergent capabilities" rely on encoding statistical information about
55.
by usrbinbash 11mo ago
> So convenient! Running in tmux, marking anything on my terminal immediately puts it into the tmux buffer, without me having to click anything on the keyboard. Pressing middle-mouse pastes it. THAT is convenience.
56.
by usrbinbash 11mo ago
> if it can be proven correct Then the first step would be to prove that this works WITHOUT needing to burn through the trillions to do so.
57.
by usrbinbash 11mo ago
> I don't think there's evidence that this issue would persist after continuing to scale models to be larger and doing more RL And how much larger do we need to make the models? 2x? 3x? 10x? 100x? How large do they need to get
58.
by usrbinbash 11mo ago
> They are good at repeating their training data, not thinking about it. Which shouldn't come as a surprise, considering that this is, at the core of things, what language models do: Generate sequences that are statistically likely
59.
by usrbinbash 11mo ago
> We really need something that could store data for 80 years minimum. We have that. We know how to put digital data onto paper, at high density. Not high compared to actual drives or even optic disks of course, but still enough that we
60.
by usrbinbash 1y ago
> the most useful and helpful is job ads That would certainly be the case, if it were not for the fact that [fake job postings][1] are a thing. [1]: https://globalnews.ca/news/10636759/fake-job-postings-warnin..

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