It's not meant to be idealistic at all. There very much should be a whole lot more that goes into the decision to raise prices or introduce ads or whatever that might upset your customers.
Humans can learn texts by heart, even lots of text (I have some expertise on that, having studied opera singing). They can reproduce these texts accurately, deterministically and repeatably. An LLM is a statistical machine. It does not know any text by heart and it is by pure chance that it sometimes reproduces existing texts verbatim.
Break it into small chunks and practice. Practice more. Put the chunks together and practice even more. Like any skill, it isn't something people are magically good at beyond minor proficiency.
Every performance- singing a song, playing an instrument, performing a stand-up routine, giving a speech, performing a theatrical role are all things that are best done from memory but require practice.
There are pneumonic tricks you can use- I've seen some people do it for tricks like memorizing the order of a deck of cards- but it's less useful for long term recital because it helps with order but not comprehension or fast indexing.
Humans sometimes don't remember things 100%. LLMs can produce certain text and be run deterministically.
I don't really understand this side of the debate other than as a gotcha tbh.
If LLM use atrophies your brain and skills that's bad. If it has a repulsive writing style that's bad.
I'm not sure what the debate about whether an AI is a statistical parrot unlike humans accomplishes. Is relying 100% on a bad human speechwriter somehow better?
It comes up frequently when discussing whether LLMs actually have intelligence or qualify as AI, especially in discussions on the path to achieving AGI.
The primary complaint seems to be that LLMs are held to a higher standard than humans, though I don't particularly buy that line of reasoning.
In my experience, proof is the gym reps that allows you to harness strong intuition elsewhere.
In practice as an engineer, intuition is far more useful, eg, being able to “feel” when something is off in our reasoning — but proofs are where I train those same sensibilities on “harder” problems, (eg) details about how to model identity, equality, and equivalence in a formal model.
There could be meta-faith, if you insert engineering into
Mathematics, physics, chemistry, astronomy, march in one front [lockstep]. Whichever lags behind is drawn after. Whichever hastens ahead helps on the others...
--Karl Schwarzschild
The problem or nonproblem before (elite) software engineers were pointed at rather bespoke conjectures, depending on one's specific denomination, was that the frontier mathematicians got too far ahead of the others to effectively drag them along (hence Tao's recent fundraising attempt using his one-off compressed-sensing work)
There is also the Experience<->Understanding "wave equation" if you will, codified by the popular engineers' joke about how mistakes/bugs mediate the two
Imho what academia+industry really need are GLM-wielding plumbers cheap but capable enough to find these abstraction leaks between silos. One taxes these plumbers so brutally that their clients can get by on basic tokens (morally speaking, so as not to drive demand in the farflung silos of billions bottles and babes)
There were interdisciplinarian buzzwords but these did not live outside the grant proposal, and probably won't survive better under the reign of Pangram
Trump himself only happened because Ds abandoned the working class for grievance politics circa 2010 — forming “public private partnerships” to tear open old wounds while screwing the working class on behalf of corporations.
You're a couple decades late there, it was Clinton and the Third Way(tm) Democrats that abandoned blue collar workers.
(Of course, that doesn't capture the full story either -- before '92, white blue collar workers were already abandoning the Democrats to support Reagan while he and the Republicans gutted private sector unions.)
Obama worked with Wall St to promote Woke/ESG/etc in public-private partnerships to dismantle the class solidarity forming in 2010 around anger over Wall St bailouts.
OWS itself fell apart when activists started with race and sex based grievances rather than class solidarity.
Trump is a result of that choice to institutionalize bigotry rather than address class issues — as Trump’s margin in 2016 seems to come down to working class voters uninterested in grievance politics. (And the large Obama -> Trump voter swing, eg, among Millennial men.)
> Ds abandoned the working class for grievance politics circa 2010
Which I already explained in the first part of my statement you selectively edited out.
This is a direct stab at the US imperialist faction — not MAGA, who want the US to break up with the EU.
I genuinely don’t understand this move through the lens of realpolitik: they’re mad at Trump, so they’re going to offend CFR et al who are aligned on Fortress America and neo-empire by threatening to take a critical vassal for the EU?
Okay — but you just turned being mad at MAGA into the MIC deep state viewing you as an enemy and therefore further military alliance with any EU member unviable. All because the EU couldn’t stomach four years of crass taunts from a TV conman.
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