He hallucinated. This is how you verify non AI nowadays.
AI is so good that if you see an hallucination as obviously wrong like this one it’s a sign it’s written by a human.
AI is so good that if you see an hallucination as obviously wrong like this one it’s a sign it’s written by a human.
Or "it's not 4-wheel-drive, it's diesel!", if familiar with cars.
In general probably not much of a stretch to get rid of convolutions or recurrence by replacing with attention and see if it works hence the title of the original transformers paper.
Once Musk said he believes in Transformers instead of diffusion (or the other way around). When actually diffusion transformers are very popular and mainstream. What he meant was autoregressive inference vs diffusion. People like to use buzzwords while not knowing them. Old issue, it was the same decades ago.
To make it even more confusing, there are also diffusion LLMs, which typically but not necessary, use transformers also.
And independently of diffusion and transformer and llm or image generator, you can optionally put a GAN discriminator adversarial loss on any of them.
It's not like every model has the same amount of those shortcomings.
The first sentence seems to imply the average state. No?
The problem really is I haven't used these other AIs for finding links to things I am an expert in, so I cannot really say how likely they are to get things completely wrong, or at least have one wrong or misinterpreted fact per response.