Sigh. OK.
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@miss_rodent @glyph Corporate needs you to find the differences: "I have a system" and "prompt engineering."
@xgranade@wandering.shop @miss_rodent@girlcock.club @glyph@mastodon.social You can check whether or not the "system" brings results (usually not, besides blackjack(until you get kicked out)), you cannot check whether "prompt engineering" works.
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@crystallinefire @glyph @rmi
I'm not an LLM user, but from what I can see, it offers those who do use them a feeling of immense power and productivity. That definitely has parallels with the highs produced by some illicit substances: "Using this, I feel like I can do anything".The trail of destruction is similar too.
@KimSJ @crystallinefire @glyph @rmi
> a feeling of immense power and productivity.
Sure, and comfort, confirmation and reassurance alongside the confidence. And then for most of us, we start to spot the problems. It's not unlike working alongside a colleague who is super confident, but has little real world experience.
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Like this is a luminary in the field, mocking his critics for making a prediction he finds risible when that prediction HAS ALREADY COME TRUE. He did the thing, and it went badly, in the way that everyone who is mad at him was saying all along that it would go badly. But he still thinks that he's right! This is not an unrepentant dumb guy being dumb, this is one of the smartest engineers in the field BECOMING dumb right before our eyes. That ought to scare you!
@glyph or it could be the patch that caused the regression was written by him in a hurry to fix a security hole. Then he realised he needed better testing and used AI tooling to try and solve the lack of testing and validation. Reading skills can't be that shit around here, maybe use an AI to read his blog post.
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@snaums the trouble with open source is we conflate these two things
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RE: https://mastodon.social/@glyph/115839163441384816
@rmi My initial comparisons to substance abuse were somewhat tentative and reluctant, back in January. But these have gone from being a few troubling-but-subtle bits of hearsay and implication to a drumbeat of near-daily incidents and I wish I were not feeling so validated in this particular view
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@glyph In general,the smartest people you know are almost certainly only one context-switch away from acting like complete fools.
@miss_rodent this is so true!
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Sigh. OK. rsync discourse:
This is not a story about “vibe coding” or “slop” or regressions or even open source sustainability or whatever: it’s a story about mental health.
The timeline of Tridge’s response in particular can be broke down like so:
1. AI skeptics say "LLMs create difficult-to-evaluate defects, even if you're careful"
2. Tridge introduces defects even though he was careful
3. he gets yelled at
4. His response is to say "you dinosaurs don't appreciate how *careful* I was!"@glyph Just like „there are no atheists in the foxholes” adage doesn’t tell us much about atheists, successes of solo developers with AI don’t tell us much about AI.
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Sigh. OK. rsync discourse:
This is not a story about “vibe coding” or “slop” or regressions or even open source sustainability or whatever: it’s a story about mental health.
The timeline of Tridge’s response in particular can be broke down like so:
1. AI skeptics say "LLMs create difficult-to-evaluate defects, even if you're careful"
2. Tridge introduces defects even though he was careful
3. he gets yelled at
4. His response is to say "you dinosaurs don't appreciate how *careful* I was!"@glyph See also "Brexit"
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RE: https://mastodon.social/@glyph/115839163441384816
@rmi My initial comparisons to substance abuse were somewhat tentative and reluctant, back in January. But these have gone from being a few troubling-but-subtle bits of hearsay and implication to a drumbeat of near-daily incidents and I wish I were not feeling so validated in this particular view
@glyph @rmi I think it's worse than any drug addicts, because even with legal "soft" drugs like caffeine we don't tell people that they've to:
- Consume that shit or youcwill get fired.
- We'll fire people because someone OD'ing on caffeine is better than a well-adjusted being
- Allow execs to sout hateful garbage (i.e. that people refusing to do it should starve to death).
Like most junkies at least have the courtesy to keep their stuff away from small children, when the AIslop industry actively tries to target minors!
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@glyph I’ve seen this before, and no LLMs were involved. It’s addiction.
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@glyph or it could be the patch that caused the regression was written by him in a hurry to fix a security hole. Then he realised he needed better testing and used AI tooling to try and solve the lack of testing and validation. Reading skills can't be that shit around here, maybe use an AI to read his blog post.
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Sigh. OK. rsync discourse:
This is not a story about “vibe coding” or “slop” or regressions or even open source sustainability or whatever: it’s a story about mental health.
The timeline of Tridge’s response in particular can be broke down like so:
1. AI skeptics say "LLMs create difficult-to-evaluate defects, even if you're careful"
2. Tridge introduces defects even though he was careful
3. he gets yelled at
4. His response is to say "you dinosaurs don't appreciate how *careful* I was!"@glyph I keep reasoning about which logical fallacy is described in this pattern. Dunning-Kruger comes to mind: without knowing the subject being confident to have performed to the best knowledge.
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Sigh. OK. rsync discourse:
This is not a story about “vibe coding” or “slop” or regressions or even open source sustainability or whatever: it’s a story about mental health.
The timeline of Tridge’s response in particular can be broke down like so:
1. AI skeptics say "LLMs create difficult-to-evaluate defects, even if you're careful"
2. Tridge introduces defects even though he was careful
3. he gets yelled at
4. His response is to say "you dinosaurs don't appreciate how *careful* I was!"@glyph it always surprises me how a non-deterministic model could be taken seriously....
if you train it, due to its non-determinism it looses half its memory between hours of chatting with it. thats not a fault, thats *by design*
i can understand where hes coming from with "careful".
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