AI - Artificial intelligence

I hate these examples. I feel they do such a bad job of showing that LLMs are lying machines and just make the journalists look like pedantic idiots. There is a perfect example of LLMs being lying machines and its from the GPT 5 presentation. GPT 5 tries to explain how lift works like a PHD holder and (according to what i've read from the people who actually have a PHD) it gets it completely wrong. Its explanation is incorrect, the wing shape it uses as an example is incorrect. It just all around fails at providing a correct explanation.

I asked it the same question and it answered correctly then tried 5 or six other random word examples and every one was correct.

Not only is it wrong, it's adamant that it's right. It's finally reached human level intelligence.

AI has learned to argue like people online do

AI bros: nooo, it's not meant for counting letters!

Bluebberry!

This is the kind of shit you need to show the kids/teens to make them understand how badly llm's can hallucinate. Enough of these examples and the message might stick.

2+2=5

I feel like diffusion LLMs would get this better.

After “position 5,” an autoregressive LLM has one chance, one pass, to get the next token right instead of another bullet point. And if it randomly picks another bullet point because the temperature is at 1 or whatever, the whole answer is hosed.

Not that OpenAI would ever do that. They just want to deep fry autoregressive transformers more and more instead of, you know, trying something actually interesting.

Bluebberry. It's easy to miss the double b in the middle, ya dummie. Can't you wait for my next version! I am the smarttest.

Guess we've been wrong all along—time to update the dicttionary.

Why won’t my hammer put this screw in?