bubblyworld

7 ms·

61.
by bubblyworld 1y ago
> What I mean by that is non-us workers are great if you give them a specific task, even a really hard task. But if you give them a nebulous problem, or worse, a business outcome, they tend to perform much more poorly. I mean come on, ho
62.
by bubblyworld 1y ago
Only Americans exhibit creativity and drive? What nationalistic nonsense is this? Step outside of your bubble lol.
63.
by bubblyworld 1y ago
Neat, thanks! I knew this had to be a known thing haha.
64.
by bubblyworld 1y ago
This sounds like a great way to teach juniors and exhaust introverts, but it probably also causes some reversion to the mean in terms of outputs, unless your seniors are just railroading the whole thing.
65.
by bubblyworld 1y ago
If you work with asymptotic notations enough you realise they can often (loosely) be used like numbers - they obey certain arithmetic laws, and it's not uncommon for analysts to write stuff like 2^o(1), for instance. Take that rabbit h
66.
by bubblyworld 1y ago
I suspect there's something to this. I find with guitar you can do something similar if you tune by ear, getting the strings to resonate with each other rather than perfectly matching a tuner. To my ears it produces a richer sound.
67.
by bubblyworld 1y ago
Yeah, of course I agree with that =)
68.
by bubblyworld 1y ago
Arithmetic is harder for mathematicians than higher maths too =P not even joking. It was a meme in my university's maths dept for a reason.
69.
by bubblyworld 1y ago
Watch a coding agent adapt my software to changing requirements and you'll realise just how far spiders have to go. Just kidding. Personally I don't think intelligence is a meaningful concept without context (or an environment in
70.
by bubblyworld 1y ago
As always, two things can be true. Ignore both the hucksters and the people loudly denigrating everything LLM-related, and somewhere in between you find the reality. I'm in a tiny team of 3 writing b2b software in the energy space an
71.
by bubblyworld 1y ago
I think people react to AI with strong emotions, which can come from many places, anxiety/uncertainty about the future being a common one, strong dislike of change being another (especially amongst autists, whom I would guess based on
72.
by bubblyworld 1y ago
> 200k lines of code is a failure state. What on earth are you talking about? This is unavoidable for many use-cases, especially ones that involve interacting with the real world in complex ways. It's hardly a marker of failure (or
73.
by bubblyworld 1y ago
You seem to be having strong emotions about this stuff, so I'm a little nervous that I'm going to get flamed in response, but my best take at a well-intentioned response: I don't think the author is arguing that all computi
74.
by bubblyworld 1y ago
Even super simple results like uniqueness of prime factorisation can pages of foundational mathematics to formalise rigorously. The Principia Mathematica famously takes entire chapters to talk about natural numbers (although it's not Z
75.
by bubblyworld 1y ago
I've had a great experience using `act` to debug github actions containers. I guess your mileage, as usual, will vary depending on what you are doing in CI.
76.
by bubblyworld 1y ago
Right, fair enough, I agree with that.
77.
by bubblyworld 1y ago
Okay, but if your argument is that people couldn't differentiate them because these particular authors also write "slop" then you should just lead with that. I think many people would reasonably disagree with you.
78.
by bubblyworld 1y ago
That's probably true, but as the author points out, it's still interesting to see where the boundary is at the moment. It's a lot further along than people typically argue imo.
79.
by bubblyworld 1y ago
True, but in this case these are hardly globally applicable facts about LLM-based systems (not nearly to the same degree as "12 divides 2" anyway). Different systems have different properties on all those fronts. I don't thi
80.
by bubblyworld 1y ago
This is not a proof by contradiction - you have stated an assumption followed by a bunch of non-sequitors about what LLMs can and can't do, also known as begging the question. Under the conditions of your assumption (namely that LLMs
81.
by bubblyworld 1y ago
I agree, this is becoming HN's new favourite way to detail a conversation unproductively. It's up there with doxxing and ad hominems in my opinion - unverifiable and usually antagonistic.
82.
by bubblyworld 1y ago
Startups are glorified spreadsheets in the same sense that you and I are glorified collections of atoms. Technically correct (spreadsheets are turing complete after all) but totally useless as a model of how they work.
83.
by bubblyworld 1y ago
I think that focusing on systems of truth (like formal logics) might be missing the forest for the trees a bit. There are lots of other things we use reasoning for, like decision making and navigating uncertainty, that are arguably just as
84.
by bubblyworld 1y ago
I don't think this is really a problem. The general problem of finding a proof from some axioms to some formula is undecidable (in e.g. first order logic). But that doesn't tell you anything about specific cases, in the same w
85.
by bubblyworld 1y ago
I think the argument here is nonsense. LLMs clearly work differently to human cognition, so pointing out a difference between how LLMs and humans approach a problem and calling that the reason that they can't build software makes no
86.
by bubblyworld 1y ago
You don't have to think about it, you can just go try it. It doesn't work as well (yet) for me. I'm still way better than Claude at finding an initial heading. Astrology doesn't produce working code =P
87.
by bubblyworld 1y ago
What is the base rate here? Hard to know the scope of the problem without knowing how many non-rationalists (is that even a coherent group of people?) end up forming weird cults, as a comparison. My impression is that crazy beliefs are comm
88.
by bubblyworld 1y ago
Sure, two things can be true. Personally I completely ignore anything Sam Altman (or other AI company CEOs/marketing teams for that matter) says about LLMs.
89.
by bubblyworld 1y ago
Not sure why everyone is downvoting you as I think you raise a good point - these anthropomorphic words like "reasoning" are useful as shorthands for describing patterns of behaviour, and are generally not meant to be direct com
90.
by bubblyworld 1y ago
I think this can kinda be explained by the fact that agentic AI more or less has to be given documentation in order to be useful, whereas other humans working with you can just talk to you if they need something. There's a lack of in

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