BDPW

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.

What would you do instead to make sure the student actually possesses the skills they are intended to have learned by the end of a program?

And especially China. And Japan.

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.

Has nothing to do with size, see Japan and China.

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)

Who are you in this comparison?

Completely agree, I get that this is a stepping stone for future, more reliable robots but I found the demonstration underwhelming.

You're conflating coordinate and proper acceleration.

Physical classrooms don't really scale either, is that really a fundamental problem?

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.

LLM's still make stuff up routinely about things like this so no there's no way this is a reliable method.

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.

I just read the 'original affluent society' and (most of) your linked essay, I kind of agree with you. That said, the conclusions of Kaplan lead to estimates or 35-60 hours a week (excluding some depending on the group) and that surprised me a lot. That's very different from the image I got from some other comments in this thread talking about extremely long days with constant back-breaking work. Would you agree?

Whats the problem with attached bottle caps or volume warnings? I used to find these things annoying when I was younger but I do realise things like that can be very useful, even though they are small steps.

What do ILVA and AM stand for?

What is so fundamentally different about DID proposed in the UK or the US then? I read through some of the documents about it and the data scoping that will be available, which isn't with something like BankID seem to be the only difference. What am I missing here?

If an authoritarian state tells a bank to block you as a customer you get exactly the same result. All these options of blocking people are already available to states in general.

It's a pretty common thing that replanted forests turn into monocultures that don't have a lot of value for biodiversity. This then leads to all sorts of problems that healthy diverse forests don't have. I don't know if that's the case with the Appalachian forests but this is depressingly common. That being said, there are good steps being taken, e.g. the rewilding projects by mossy earth.

This wasn't because a Chinese CEO was appointed, it was because of his recent actions moving (apparantly critical) production away from the Netherlands. Where did you get this angle from?

I would argue that you can consider those thoughts. But this is the difficult bit, I've had the experience before of thoughts/feelings whatever ypu want to call them where words fall short. Knowing multiple languages helps a bit but it still falls short sometimes (very rarely).

Language is very effective at this, but I don't think thought is inherently linguistic.

To me language is just a way to label, group or organise these things. So when you learn a new one you learn a new 'labeling system/taxonomy' does that sound familiar?

Spotify is not a US company.

Having seen AstraZeneca inside, this is not the case. There's quite a lot of development going on. It is all non-fundamental though, the focus is heavily on late stage. No identification of disease mechanisms and such.