Cognitive dissonance really is required to keep our “warm fuzzy empathic friendly” self image while simultaneously being ruthlessly pragmatic cold blooded killers when it suits us.
Just wait till these robot maximalists figure out that a pile of oxygen, carbon, hydrogen, and nitrogen is much cheaper than robots made out of steel and carbon fiber.
I mean, they haven't glommed onto the daily experience of giving a kid a snickers bar and asking them a question is cheaper than building a nuclear reactor to power GPT4o levels of LLM...
If we could directly convert the food energy of a Snickers bar to electricity we could easily power AI. A Snickers bar has 250 kcal, which is 1000 kJ or about 250 grams of TNT.[https://www.wolframalpha.com/input?i=250+kcal+in+joule] chatgpt-4 uses 3.6 kJ to 36 kJ per query so you could get potentially hundreds of queries on a single Snickers bar.
We only need a way to harness the power of the human body. Maybe we put people in VR for fun while using their body heat to power the AI.
TNT and other explosives have relatively little energy per kg compared to eg petrol or snickers.
That's explosives are chemicals selected / designed to be able to release their chemical energy really quickly and without needing any external oxidizer (because harvesting atmospheric oxygen would be too slow). That focus obviously leads to compromises in other areas, like energy density.
Temporarily, on the margin. A human would need multiple Snickers bars per day to survive, and can't survive on Snickers bars alone for more than couple days or weeks.
Also no human is anywhere close to being as knowledgeable and skilled as LLMs at all the things at the same time, so it hardly even compares.
They're fully aware of the obvious fact that LLMs are getting better at reasoning than humans at scale in general, and this includes power efficiency too. Meanwhile, what is not getting comparably better is robotics. This leads to obvious conclusion about natural order of things and division of labor: computers are for thinking, humans are for doing manual labor.
> the obvious fact that LLMs are getting better at reasoning than humans
I wanted to say that you were wrong, that LLMs can't reason and so it certainly isn't an obvious truth that they do it better than humans, but when I asked AI if LLMs can reason it told me that they can't which (while still not being reasoned by the LLM) seems to support the spirit of your claim since it gave a correct answer while you (a presumed human that can reason) got it wrong.
We might be elevating the importance of reasoning too much because us humans need to use it to solve many difficult problems. But if intuition was stronger, conscious/explicit/logical reasoning might not be needed. Didn't the famous mathemetician Ramanujan say that God gave him his answers in his dreams? That sounds like really powerful intuition like an LLM. Us humans can already solve a lot of incredibly complex problems intuitively, but they're quite domain-specific, like for spatial navigation and social interaction.
Anthropologist Gregory Bateson predicted we'll know machines are conscious when we ask a question and the computer responds, "That reminds me of a story."
That seems to be the hangup. I have to use a definition that would put it on equal footing to what we do as humans since that's the comparison being made.
Computers and software can be said to "understand", "think", and "reason" in their own way and informally people have always used those words in that context. Recently, software which has been trained on human-reasoned output is producing text that mimics reasoning well enough that it can be confused for the real thing, but nobody has been able to show that any reasoning (as a human reasons) is what's occurring.
To all of you complaining about LLMs hallucinating, do try to give the same prompt to a kid on a sugar rush and let me know if you're getting more reliable responses.
"The chickens are harvest when they’re 32 days old"
Let’s sprout some semence in the cow (or not).