Imo this is so overrated, the biggest difference is that children have 100% exposure and almost all language they come across is tailored exactly to the right level, just for them.
My experience has been the complete opposite, a bit of pressure goes a long way. There are many people who need to know X or Y and just dont have the maturity or innate motivation to do it properly. This comes from the experience of a Dutch school system so perhaps its different in other countries.
If you had an llm that could accurately predict when a claim is uncertain it would be very popular, I think. I would pay for that kind of reliability tbh
You dont have to literally send a null token. Train it to generate text that summarizes the evidence that is there but the uncertainty of the final answer to a prompt.
I think they mean that a phd doesn't mean much relatively speaking, since everyone around has one so it's less impressive and you're less of an expert when everyone around you is knowledgeable in the same domain.
Nonsense, some of my friends are lawyers and they're able to give you consistent interpretations on why they think about a certain aspect of a law a certain way.
The whole thing is that they work with this the entire time, so they have a really consistent 'head model' of how things work and why and how considerations should be weighted/ordered/whatever. LLMs just do not have this, there's no consistent underlying reasoning (the 'reasoning' traces in LLMs are really inconsistent)
The problem seems to be that many students going to college can't seem to read any substantial texts anymore, while somehow getting themselves into college. It's pretty worrying imo. There's a bunch of articles about this as well: https://www.theatlantic.com/magazine/archive/2024/11/the-eli...
Its unclear how they intend to fix these fundemantal problems tbh. Things like "Automate the 'must not fail' moments with rules, APIs, and triggers." And "Use policies, templates, function calling, and explicit do/don't constraints." Make sense but if you have deterministic workflows, what do the llms still add?
Using APIs makes sense but isnt the whole point of these things that they can automate away stuff, it feels like we're building really big complicated frameworks to put these things in. Does it still have any actual benefit for stuff like this?
I hope I'm wrong but I haven't seen anything like this in practice. I would imagine we have the same problem as before where we could use it as an extra filter but the amount of shit that comes out makes the process not actually any more accurate, just faster.
Having seen from close-up how these reviews go, I get why people use tools like this unfortunately. it doesn't make me very hopeful for the near future of reviewing.
I don't know. I don't really care about the details in this case, I just don't really get the dismissive attitude that often surrounds things like this. Do you think this is not something that is worth looking into if it happens at such as large scale?
Just do be clear, I use genAI all the time for finding info and answering questions, so my browsing habits changed as well. I'm the kind of person who this case would indirectly be about. But don't you think that it's valuable to look at how do we compensate people who create content when their content is being used by genAI.
Many people seem to have the feeling of 'oh it's too late and those websites were garbage anyway (whatever that means), who cares'. Don't you think that's a bit of a silly way to go about this?
If using data from those websites in a way decreases their visitors or something similar then I think there's an argument to be made for that. I don't know the details to case but just because something is publicly visible doesn't mean that you can just do anything you want with it.
Appropriate compensation is a non-issue? I have the impression many people jump on the hate-EU train for no other reason than there's many comments reinforcing it.
What do you really think about this case in particular? I'm pretty curious where this comes from.