namaria

7 ms·

31.
by namaria 1y ago
Unless you're pulling humans out of the streets at random and asking them questions or to do work, I guess you also shouldn't do that with statistical models of random human language.
32.
by namaria 1y ago
It is a problem that people who are unwilling to perform some basic research resort to 'learning' the output of LLMs. No one is entitled to answers.
33.
by namaria 1y ago
I thought it was a different kind of nonsense, but it still has a subtle error. Goes to show even more how risky it is to repeat LLM answers as factual.
34.
by namaria 1y ago
And also the seminal papers by Gödel, Turing, and the books on cybernetics (robotics and automation in 1950s) by Ashby and Wiener. The limits of what can be automated have been clear for almost a century now. Yet people insist in selling wa
35.
by namaria 1y ago
> So I ask ChatGPT and one of the things it said is that historically it meant "measure" This is a great example of why using LLMs to learn is perilous. This is nonsense.
36.
by namaria 1y ago
Are there fewer accountants now than there were in 1985? Also relevant, do companies find it hard to hire accountants now?
37.
by namaria 1y ago
> E.g it can be argued that the latest LLMs like Gemini 2.5 and Claude 4 in fact do complex reasoning. They most definitely don't. We attach symbolic meaning to their output because we can map it semantically to the input we gave it
38.
by namaria 1y ago
What strikes me the most is not even that people are willing to do that, to just fudge their work until everything is green and call it a day. The thing that gets me is how everyone is attaching subsidized GPU farms to their workflows, orga
39.
by namaria 1y ago
What happens if it makes a mistake and someone dies?
40.
by namaria 1y ago
A product that hypes itself. What a world. That does explain a lot of the cognitive dissonance going around.
41.
by namaria 1y ago
> Because I have absolutely gained tons of new insights and knowledge by asking ChatGPT to analyze an idea and suggest similar concepts. Are you going to test them by building something or using these concepts in conversation with specia
42.
by namaria 1y ago
> When I see you put the idea forward, I think, oh, neat, but surely it'd be much more effective if you did a 30s sketch for each word, and improved your drawing as you went. Or, you know, just imagine something. Which is what I hav
43.
by namaria 1y ago
It just means 'shameful happiness'.
44.
by namaria 1y ago
I really don't understand what is going on. I try to, I read the papers, the threads, I think about it. But I can't figure this out. How can it be that people expect that pumping more energy into closed systems could do anything e
45.
by namaria 1y ago
"Big data" -> "Cloud" -> "LLM-as-A(G)I" It's all just recycled rent seeking corporate hype for enterprise compute. The moment I had decided to learn Kubernetes years ago, got a book and saw microserv
46.
by namaria 1y ago
So a 4x slowdown?
47.
by namaria 1y ago
I could just watch less videos. Content quality has been declining for ages. Fresh stuff all looks and sounds the same. Video structures are all very similar, and even for niche channels they only look at very specific sorts of topics. The
48.
by namaria 1y ago
Everyone has choices to make in life.
49.
by namaria 1y ago
I question the intellect of anyone engaging in silly games with the sole purpose of impressing other people.
50.
by namaria 1y ago
> I think another good historical analogy is the invention of writing. In Phaedrus[0] Plato argued that it may make people dumber. No, he doesn't. Plato quotes Socrates quoting a mythical Egyptian king talking with the god that had
51.
by namaria 1y ago
I'll speak for myself, for me it's illustrated by the spam sketch from Monty Python. It crowds out everything, including my mental space. The hype and disconnect from reality make it intriguing to my brain so I am very likely to e
52.
by namaria 1y ago
I think it would be a good idea to start by reading Asbhy and Wiener on the foundations of cybernetics. They knew the limits of using computers to automate stuff. They wrote their books in the 50s. Since then we have tried and failed many t
53.
by namaria 1y ago
It has definitely gotten much worse. The only thing keeping me sane is hacking solo projects in languages with great tooling. I don't think I can even stomach interviews anymore, let alone the whole application process farce.
54.
by namaria 1y ago
Oh most definitely. Maybe my sarcasm was a bit too subtle. I definitely think that teams should think about what to log. Otherwise go with a live image kind of system like Smalltalk of LISP. The whole event sourcing paradigm and trying to j
55.
by namaria 1y ago
The bane of every cargo cult cloud op. I worked with a company that had maybe 20 devs total, > 30 "microservices" in kubernetes and one of the most complex bits of the deployment was handling Greylog and Elasticsearch. Still th
56.
by namaria 1y ago
Your unwillingness to engage with the limitations of the technology explains a lot of the current hype.
57.
by namaria 1y ago
The caveat is that intentional stupidity is indistinguishable from malice.
58.
by namaria 1y ago
"Extrapolation" https://xkcd.com/605/
59.
by namaria 1y ago
Exponential over which metric exactly? Training dataset size, compute required yeah these have grown exponentially. But has any measure capability? Because exponentially growing costs with linear or not measurable improvements is not a grea
60.
by namaria 1y ago
On Limitations of the Transformer Architecture https://arxiv.org/abs/2402.08164 Theoretical limitations of multi-layer Transformer https://arxiv.org/abs/2412.02975

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