@glyph Did you quote post something?
-
@genehack I appreciate that they've been useful and I will probably keep on doing them until they're not, but I've been in the unfortunate position at a few times in my career of needing to simply repeat the same obvious (or at least, obvious to me) "insight" to an audience of people whose jobs depended, in some degree, on not really understanding what I was saying. the combination of getting praised for being intelligent and correct while nothing changes is a recipe for personal stagnation
@glyph ALWAYS prioritize your own well being. Period, full stop.
2nd, I have said that one part of leadership is repeating the same thing over and over again until you’re past sick of hearing it.
-
@glyph ALWAYS prioritize your own well being. Period, full stop.
2nd, I have said that one part of leadership is repeating the same thing over and over again until you’re past sick of hearing it.
@glyph that’s not quite the same thing as “to an audience that actively needs to not hear it”, to be fair, but I think that’s a matter of degree, not kind.
-
@glyph that’s not quite the same thing as “to an audience that actively needs to not hear it”, to be fair, but I think that’s a matter of degree, not kind.
@genehack hmmmmmm you make an interesting point here about repetition, one that I have brushed up on in various discussions of sprachspiel. a good antithesis to my thesis, will need to contemplate the synthesis!
-
@genehack hmmmmmm you make an interesting point here about repetition, one that I have brushed up on in various discussions of sprachspiel. a good antithesis to my thesis, will need to contemplate the synthesis!
@glyph the other version of that I’ve used is, “if you think you’re saying the same thing too much, that’s probably about the right amount”.
(May have stolen that from somebody, maybe…)
-
@glyph it is curious, to me, that this kind of money doesn’t chase massive infrastructure investments, such as pumped storage, grid infrastructure, or expanding companies in the supply chain. One would imagine predictable and reliable returns with a need for capital to make it happen.
-
@glyph it is curious, to me, that this kind of money doesn’t chase massive infrastructure investments, such as pumped storage, grid infrastructure, or expanding companies in the supply chain. One would imagine predictable and reliable returns with a need for capital to make it happen.
@benjohn those companies are profitable, but vulnerable to competitive pressures (i.e.: capitalism) which will reduce margins over time, rather than having a “moat” (illegal but unprosecutable monopoly due to intellectual property law) to defend their margins permanently. nobody hates capitalism more than a capitalist
-
@glyph I know his real name is Henry, but I learned that after watching him for years. Never gonna overwrite Joel in my brain
-
it's truly amazing what LLMs can achieve. we now know it's possible to produce an html5 parsing library with nothing but the full source code of an existing html5 parsing library, all the source code of all other open source libraries ever, a meticulously maintained and extremely comprehensive test suite written by somebody else, 5 different models, a megawatt-hour of energy, a swimming pool full of water, and a month of spare time of an extremely senior engineer
@glyph The troubling aspect to me is the question about labor power and the way the models are produced. If it is truly possible to reimplement a complex parser in a new language for 1MW/h and one developer month that seems like a good trade. The amount of security related churn and heartache that could be avoided by rewriting popular libraries away from memory-unsafe languages, that's a substantial benefit. I doubt it's quite that easy or it would be happening in more cases though.
-
@GroupNebula563 @AlsoCrowie my point was that only any drained or evaporated water is actually used up. Anything in a cooling pipe is constant and stable for years
@RichiH @GroupNebula563 @AlsoCrowie it seems they are not using closed circuits. And the water may not be suitable for consumption after they used it.
-
@riverpunk @rupert @stuartl @glyph This is truly the kind of discussion I'm here for.
-
it's truly amazing what LLMs can achieve. we now know it's possible to produce an html5 parsing library with nothing but the full source code of an existing html5 parsing library, all the source code of all other open source libraries ever, a meticulously maintained and extremely comprehensive test suite written by somebody else, 5 different models, a megawatt-hour of energy, a swimming pool full of water, and a month of spare time of an extremely senior engineer
@glyph seems like copy/paste with extra steps...
-
@glyph I never want to cast shade on addicts for being addicted, addictions are fucking awful.
I absolutely will cast shade on addicts *or anyone else* for insisting I should be addicted too, and for transforming all of society around the idea that my being addicted is a good thing.
-
@glyph I never want to cast shade on addicts for being addicted, addictions are fucking awful.
I absolutely will cast shade on addicts *or anyone else* for insisting I should be addicted too, and for transforming all of society around the idea that my being addicted is a good thing.
-
@glyph I just keep coming back to that LLMs put our brains directly on the inner loop of an optimization algorithm — that's already true to some degree with advertising and social media engagement algorithms, but LLMs tighten that loop even more, and we don't know what that does to brains!
-
@glyph This feels about right, and with this, the next trick is building a culture of healing and support for when those who have fallen prey to this addiction are ready for change.
-
@glyph This feels about right, and with this, the next trick is building a culture of healing and support for when those who have fallen prey to this addiction are ready for change.
@mttaggart unfortunately I have no concept of what "rock bottom" for an LLM user looks like. Step 0 is going to have to be that society stops massively rewarding them with prestige and huge piles of cash first
-
@glyph I just keep coming back to that LLMs put our brains directly on the inner loop of an optimization algorithm — that's already true to some degree with advertising and social media engagement algorithms, but LLMs tighten that loop even more, and we don't know what that does to brains!
@xgranade looks like we're gonna find out
-
@xgranade looks like we're gonna find out
@glyph Maybe! Or maybe it'll be like leaded gasoline where we never really are able to trace back which awful things were due to that source of lead and which things weren't because it all gets mixed up in the "heavy metal in head, things bad now" bucket.
