Interesting. Might explain why the cerebellum and cortex work so differently? I wonder what the two ancient nervous systems looked like at the point where they merged.
Its a joke. You know they say ADHD types made great hunters thousands of years ago, because they can hyperfocus on that gazelle while constantly keeping their head on a swivel.
But your quote isn’t a quote from that post, you’ve made a straw man. What if what he says is true? What if less intelligent people are more inclined to believe those who seem intelligent, but without beging able to gauge their intelligence correctly? Or the same with authority figures, or simply agreeing with “what everyone knows”? All of these are heuristics we should expect when reasoning is difficult for a person.
These are also not the only ways that people can be misled about things, and susceptibility to them is likely not exclusively correlated to intelligence, but they might well be heuristics that LLMs can leverage effectively.
Also that correlation I mention likely can be quantified, but I doubt anyone is doing the research on it.
>What if less intelligent people are more inclined to believe those who seem intelligent,
I'm going to assume the actual truth behind this is complex, varied, and social.
When I was younger I had moved from a school that slightly above average to one that was below average in grades. The area had a really strong cult of ignorance feeling and I saw a lot of different behaviors in people that reflect themselves in political patterns. People that embrace ignorance seem much less likely to follow people that outwardly signal intelligence, quite often the opposite happens and they outright reject them. Instead of intelligence they are much more apt to believe those that broadcast success.
This quite often leads to power seeking individuals "playing dumb" and bolstering their success signal. "Awe shucks, that guy that got top scores at Harvard is just like me who didn't graduate high school" would be a good analogy to frame it.
You mean you don't independently know one way or the other?
So you are taking it on his authority?
Because it was stated with confidence?
According to him, you must be one of those low IQ people.
Does that help to see the irony here, and why the original claim is not only clearly wrong but inherently elitist and insulting towards its own intended audience?
The alternative, the world that all intelligent people must live in at all times accordinng to the comment, is epistemic solipsism, that everything is presumed false, everyone is lying or erroneous, because there is no guaranteed way a priori to separate true statements from false ones.
> I doubt anyone is doing the research on it.
Not only is there research on it, this is like Psych/Journalism/Philosophy/Law/Communication 101 stuff. There are textbooks on it written over a century ago. It is the topic that the field of "Social Psychology" was invented to study.
The dominant theory is the Elaboration Likelihood Model, which describes and predicts based on situations when a person is more likely to doubt a claimed statement of fact, taking into account past experience with the source, cultural norms, motivation, time, concentration/nondistraction, and domain knowledge.
There is also tons of research specifically on the impact of intelligence on susceptability to persuasion by authoritative tone, and the reality is the *opposite* of what was claimed: smarter people who enjoy deep thinking are more likely to believe falsehoods (Price & Stone, 2004), because they perceive the overconfidence as exciting new information to think about, just like you are doing now.
So congrats, by uncritically believing the guy who incorrectly said you were low IQ for believing him, you actually provided evidence that suggests you are high IQ, because science shows that gullibleness is a trait of high-IQ people.
You could also be right-wing authoritarian, that's the other thing that strongly predicts gullibleness but I'm gonna guess you're smart instead.
Not trying to combat you, trying to combat the other guy, who is being elitist and condescending and also incorrect in very ironic ways.
I'm guessing you didn't read what I wrote, or maybe I flubbed the communication in some ways because I was trying to be cooperative and complimentary towards you.
Edit: ok, you might object to me saying you're gullible, but the point I'm making is that that's not a bad thing and is actually evidence in favor of intelligence, the opposite of what the other guy was saying.
I'm gullible too. I'm also short, nearsighted, bad at communication, unable to bench over 90 lbs, and tend to spend way too much time researching fields irrelevant to my own work. Susceptibility to over-confidently incorrect messaging is a scientifically proven achilles heel of smart people. It's important for us to know that so that we can metacognitively account for it and hopefully avoid falling victim to it by way of scams, cults, and hallucinating AIs.
Let’s see, so if you get the same 1/9th the size compression ratio with GLM-5.3-Flash, then you’d end up with a ~72GB model that’s about as good as GPT-5.6 Sol (high), according to artificialanalysis.ai
Which is within reach of some higher end consumer hardware, especially with layer offloading.
You have to wonder what kind of trouble the “labs” are in when this is becoming possible. Lots of money, where’s the moat?
If we go with AA's benchmarks Qwen 3.8 27B is already slightly below Luna level which is in itself impressive, but with this compression it should be just slightly more below Luna level and could run on my old GTX 1070 that I'm now tempted to fire up. That's kinda nuts even allowing for small-model problems that I'm sure I'd see quite clearly.
The labs still have performance as a differentiator for coding usages and similar, and for other things there's still all the same reasons people switched cloud hosted stuff in the first place. AWS & friends didn't get popular because the hardware was out of reach, after all.
That is what avoid means. Avoiding something means staying away from it to the best of your ability. You may well be constrained by circumstances such that you sometimes have no choice, but the intention of avoiding something is to come into contact with it never.
> Avoiding something means staying away from it to the best of your ability
Yes, that's what I said. "To the best of your ability." often means "You have to occasionally spend small amounts of time working with really shitty people.". OP said:
following this advice would have made most of my professional life impossible...
Unless OP's professional life made them a ton of money, either they had a uniquely terrible professional life, or what you and I understand "avoid" to mean is not at all what OP thinks the word means.
Throughout the history, we had made some of the best mathematicians abandon math. In turn, they apply their math skills somewhere else (hedge fund), and the companies they founded absorbed all the people from academia.
This has happened numerous times in the past, and it will happen over and over again.
> But all insist that you engage in some sort of outwardly visible production in your field: books, articles, conference presentations, public lectures, exhibitions, performances, something.
My vote is for interpretive dance. Give the laity something for their money.
> making a case for the move toward nationalizing AI labs
He just needs to wait until the bubble bursts, the labs and datacenters go under, the US government bails them out and ends up owning everything at distressed prices and it all gets folded into OpenAI.
Having rolled my own RAG the other week, I personally would recommend talking through it with Claude Opus or a similar model.
My baseline was (vibe coded) full-text search with SQLite, and we landed on long chunks with overlap, with a really simple nearest-neighbor search: quantize the index to a sign bit per scalar, which makes it super cheap to estimate dot products, then calculate better (8-bit quant index times native precision for the query) dot products to sort the top documents. A vector database would make sense for a much larger corpus, but I currently have fewer than two million rows. Claude vibe-coded it to use an OpenAI-speaking local inference server and made semantic search an optional augmentation for the full-text search.
I still don't understand this. Whenever I ask a model how to go this they recommend rolling my own. Is this really too niche to be readily available and well maintained in a GitHub but also so common every LLM knows countless ways to do it?
LLMs do tend to reinvent the wheel. There are off-the-shelf solutions. In-process, the major options seem to be Meta's Faiss, Spotify's Annoy and Alibaba's zvec. zvec's shared libraries are tens of megabytes in size, and I haven't looked closely at the others. My program is in Go, so even C bindings can be a pain.
If you have billions of vectors, you should use a dedicated implementation: nearest-neighbor algorithms in high-dimensional space can be tricky, and there are a lot of trade-offs. My case is amenable to a simple implementation because I don't need huge scale. That's also why I did not need or want an out-of-process server.
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