745 karma · joined September 7, 2023
AI companies currently simply are a major contributor to climate crisis, justified by racing for future riches for a few people, provided by some imaginary moat. Probably right near the one built by Uber.
That is exactly the thing that doesn't seem to be true, or at least it is considered outdated in neuroscience. We very much have some concepts that are inert, and all other concept we learned in relation to the things that are already there in our brains - at birth mostly sensorymotor stuff. We decidedly don't learn new concepts from scratch, only in relation to already acquired concepts.
So our brains work quite a bit different than LLMs, despite the neuron metaphor used there.
And regarding your food example, the difference I was trying to point out: For LLMs, the word and the concept, are the same thing. For humans they are different things that are also learned differently. The memorization part (mostly) only affects the word, not the concept behind it. What you described was only the learning of the word "tall" - the child in your example already knew that the other person was taller than them, it just didn't know how to talk about that.
Just nitpicking here, but this isn't how humans learn numbers. They start at birth with competency up to about 3 or 5 and expand from that. So they can already work with quantities of varying size (i.e. they know which is more, the 4 apples on the left or the five on the right, and they also know what happens if I take one apple from the left and put it to the others on the right), and then they learn the numbers. So yes, they learn the numbers through memorization, but only the signs/symbols, not the numeric competency itself.
https://penntoday.upenn.edu/2012-05-10/research/bumpy-histor...
a) by disproportionally tax the poor vs. the rich. In the United States, "42 states tax the top 1 percent at a lower rate than the bottom 20 percent, while 46 states tax the top 1 percent less than the middle 60 percent of earners." https://media.itep.org/ITEP-Who-Pays-7th-edition.pdf
b) by using the taxes to disproportionately benefit the upper income brackets, e.g. by investing more in universities than schools, or infrastructure in wealthy neighborhoods than poor neighborhoods (both true for the US).
More importantly, according to the REE, PV played a mayor role in the current and successful black start.
That it's relative share in GDP is down during that time means that other sectors were growing even faster (think Google, Netflix and so on, so services instead of things). That the service sector gains in relative importance is actually a sign of an advanced economy, every modern economy looks like that, not just the US.
It's easy to fire employees in Germany (especially in small shops), e.g. when they steal, are always late, are badmouthing colleagues, are talking about company internals, are insolent to customers, deliver bad work, and on and on.
You simply have to follow a defined process (basically at least one written warning for the same thing before firing).
What you can't do is having a Musk style temper tantrum and fire someone at will because you feel like that.
Source: I had to fire multiple people in Germany.
Just compare how Apple cripples third party smartwatches on ios.
After all, in which other market are they expected to grow? China already shifts to domestic brands, and other regions lack the purchasing power.
For LLMs, the tokens (i.e. words) are what the weights are based on, as there isn't other input into them.
(Intel has to have some sketchy deals with manufacturers, otherwise why design a product like the Thinkpad X1 Carbon line only to put these Intel energy hogs in there?)
(Also a reason why I'm very sceptical that the current LLM approach will eventually lead to AGI, BTW)
Stories like what happened to Jack Ma have to be interpreted in that context, I think. In my reading that wasn't about politics at all, but about an unregulated peer to peer lending product (i.e. a tech based loan shark system for exploiting people in need) he was about to release.