Isn't this the same paper that has been linked here multiple times in the past week? I can't see anything new on there that wasn't reported this time last week.
Most of Dylan's talks are good, but I liked this one in particular due to it talking about such a relatively old technology and how we've gotten used to some arbetary rules that aren't in the spec. I feel like it does say that we should be careful with the rules we put in place for things like protocols, since sometimes tougher constraints lead to a less ambiguous experience for users and maintainers.
I personally switched back to Firefox after 13 years earlier this year and was surprised just how easy it was. All my main extensions exist on Firefox and it gave me an opportunity to remove some extension bloat at the same time. Highly recommend.
LLMs act nothing like our brains and are not neural networks
Err, yes they are. You don't even need to read a paper on the subject, just go straight to the Wikipedia page and it's right there in the first line. The 'T' in GPT is literally Transformer, you're highly unlikely to find a Transformer model that doesn't use an ANN at its core.
Please don't turn this place into Reddit by spreading misinformation.
True, and this is the annoying thing about people unqualified to talk about AI giving their opinions online. People not involved in the industry hear "AI" and expect HAL-9000 or Ava from Ex Machina rather than the software that the weather service uses to predict if it will rain tomorrow, or the models your doctor uses to help determine your risk of Heart Disease.
This is compounded further when someone makes a video simplifying what an LLM is and mentioning that the latest models use it, which leads to the chimes of "bUt iT'S jUsT aN Llm BrO iTs nOt AI" and "ItS jUsT a LOaD oF DaTa aND aLGorItHMs, tHaTs NoT AI". A little bit of knowledge is a dangerous thing.
The gender I'm not attracted to? What one is that? Let me know if you find one.