It does zero good "for me" but hopefully someone thinks twice the next time before expressing such a dumb incorrect opinion. Not sure why adults are such precious little creatures that can't deal with a bit of criticism. If being correct was a virtue instead of being nice we wouldn't be backsliding into a world of misinformation in which science is being dismantled and people are lynched on the streets while billionaire corporations use dumb people free propaganda spreaders.
Where's the guidelines about misinforming people which has actual societal implications? Where are the guidelines for openly promoting products that harm people's mental and social health?
Wow it's almost like modern datacenters use way more power due to GPU consumption. Emit way more pollution. Use way more land. Make way more noise. Produce slop instead of functioning products. Do yall use your brain before chiming in and misinforming everyone?
Lol the entire pro-data US center is ran by elon musk and the other cronies that bribed the Trump admin to let them violate the clean air act. They use gullible losers that will swallow their propaganda whole and promise them "AGI."
Yes, the AI Datacenters are much worse for the environment. xAI is using methane-turbines to power theirs, and they are allowed to pollute your communities because they bribed the Trump admin.
We're gonna continue to push for scientific based approaches to education not some lunatic's idea of an educational experiment that waste's children's education. We tried this with Bill Gates already.
No, the rationality of humans is not defined by how gullible they are towards LLMs. Are yall getting your psychology degree from ChatGPT university, my god.
"this is akin to givin someone a textbook on an obscure subject that has certain factual errors." My brother all LLMs give factual errors so, no this is not a problem with the study. In your fake experiment you are hypothesizing a 100% factual LLM which does not exist.
"This study tested none of those" So the study is bunk because it didn't test your favorite LLM flaws?
What capabilities? Regurgitating a collage of training data? Again it's pretty easy to understand why this happens. The "magic" you are perceiving is language itself not these models. Language is a constantly evolving tool and we constantly imbue it with our collective knowledge.
Yes. When someone is teaching you language as a baby you have eyes and ears and 100 million nerve endings and constant "training" to understand language. You cannot understand the word "semantics" as a human without this crucial "training" step. My god you people will pull out the most bs metaphors to justify being in awe(and debt) to a software program.
We know exactly how LLMs work. you don't understand how they work and so you think they are free of physical limits like scaling. There are several rudimentary articles on hackernews for you to peruse to understand weights and scaling. IMO the "magic" derived from LLMs comes from one of humanity's actual greatest inventions and constantly evolving tools: language.
The last part is a bigger issue for me. I can use my usb to charge most of my tech but when it comes to the exact cable that my interface needs to use I now have like 30 cables I have to try before I know which one was the correct one.
google might have tons of integration. But if it invested too heavily into AI then it will also suffer when increased competition causes returns to fall: