Oder “Fadenmäher” oder “Kantenschneider”

I answered in another comment:

https://feddit.org/comment/7183064

There seem to be conflicting opinions on the matter:

https://netzpolitik.org/2024/pay-or-okay-privatsphaere-nur-gegen-gebuehr/

https://www.etes.de/blog/pay-or-okay-pur-abo-modell-zulaessig/

In any case, the requirements for “pay or okay” being legal are: (translated with deepl)

Equivalent alternative

“In principle, the tracking of user behavior can be based on consent if a tracking-free model is offered as an alternative, even if this is subject to payment. However, the service that users receive in a paid model must firstly represent an equivalent alternative to the service that they obtain through consent. Secondly, the consent must meet all the conditions for effectiveness set out in the General Data Protection Regulation (GDPR), i.e. in particular the requirements listed in Art. 4 No. 11 and Art. 7 GDPR. Whether the payment option - e.g. a monthly subscription - is to be regarded as an equivalent alternative to consent to tracking depends in particular on whether users are given equivalent access to the same service in return for a standard market fee. Equivalent access generally exists if the offers include the same service, at least in principle.”

Data processing for ad-free use

If a user opts for the subscription option, only storage and readout processes that are technically absolutely necessary may take place (Section 25 (1) TTDSG). Furthermore, the permissions under Art. 6 para. 1 GDPR must be complied with.

Granularity/prohibition of general consent for non-subscribers

“If there are several processing purposes that differ significantly from one another, the requirements for voluntariness must be met to the effect that consent can be granted on a granular basis. This means, among other things, that users must be able to actively select the individual purposes for which consent is to be obtained (opt-in). Only if purposes are very closely related can a bundling of purposes be considered. A blanket overall consent for different purposes in this respect cannot be effectively granted.”

Transparency, comprehensibility and information

In addition, the consents must meet the other requirements of the GDPR. This applies in particular to the principle of transparency, comprehensibility and compliance with information obligations.

As I see it, at the very least the granularity requirement is not fulfilled in these cases.

No it’s not. For some reason, most of the larger German publications do this, as of now apparently they haven’t been sued.

I guess it comes down to whether it’s legal to train image generation models on copyrighted material. Midjourney etc can’t produce a very accurate image of copyrighted characters if those characters aren’t in the training set.

With discord already being pretty shitty, I am interested in what ideas they are coming up with.

Ublock and Sponsorblock make YouTube bearable.

If you’re on mobile, use tubular - it has AdBlock as well as Sponsorblock integrated.

Couch distance and especially screen size can vary a lot. I can clearly see the difference between full HD and whatever resolution DVDs have at the 2~3 meter distance at my parents’. (43" full HD screen). Same goes for 4K vs full HD on my 60" screen.

In any case, my main point was that DVDs are no viable alternative to streaming services since all of them offer much better quality. If you really want to replace streaming services at similar or better quality, go for Blu rays.

DVDs have atrocious quality. Blu rays are where it’s at

I work in this field. In my company, we use smaller, specialized models all the time. Ignore the VC hype bubble.

Funnily enough, this is also my field, though I am not at uni anymore since I now work in this area. I agree that current literature rightfully makes no claims of AGI.

Calling transformer models (also definitely not the only type of LLM that is feasible - mamba, Llada, … exist!) “fancy autocomplete” is very disingenuous in my view. Also, the current boom of AI includes way more than the flashy language models that the general population directly interacts with, as you surely know. And whether a model is able to “generalize” depends on whether you mean within its objective boundaries or outside of them, I would say.

I agree that a training objective of predicting the next token in a sequence probably won’t be enough to achieve generalized intelligence. However, modelling language is the first and most important step on that path since us humans use language to abstract and represent problems.

Looking at the current pace of development, I wouldn’t be so pessimistic, though I won’t make claims as to when we will reach AGI. While there may not be a complete theoretical framework for AGI, I believe it will be achieved in a similar way as current systems are, being developed first and explained after.

In the case of reasoning models, definitely. Reasoning datasets weren’t even a thing a year ago and from what we know about how the larger models are trained, most task-specific training data is artificial (oftentimes a small amount is human-generated and then synthetically augmented).

However, I think it’s safe to assume that this has been the case for regular chat models as well - the self-instruct and ORCA papers are quite old already.

The goalpost has shifted a lot in the past few years, but in the broader and even narrower definition, current language models are precisely what was meant by AI and generally fall into that category of computer program. They aren’t broad / general AI, but definitely narrow / weak AI systems.

I get that it’s trendy to shit on LLMs, often for good reason, but that should not mean we just redefine terms because some system doesn’t fit our idealized under-informed definition of a technical term.

Ah yes Mr. Professor, mind telling us how you came to this conclusion?

To me you come off like an early 1900s fear monger a la “There will never be a flying machine, humans aren’t meant to be in the sky and it’s physically impossible”.

If you literally meant that there is no such thing yet, then sure, we haven’t reached AGI yet. But the rest of your sentence is very disingenuous toward the thousands of scientists and developers working on precisely these issues and also extremely ignorant of current developments.

No, at least not in the sense that “hallucination” is used in the context of LLMs. It is specifically used to differentiate between the two cases you jumbled together: outputting correct information (as is represented in the training data) vs outputting “made-up” information.

A language model doesn’t “try” anything, it does what it is trained to do - predict the next token, yes, but that is not hallucination, that is the training objective.

Also, though not widely used, there are other types of LLMs, e.g. diffusion-based ones, which actually do not use a next token prediction objective and rather iteratively predict parts of the text in multiple places at once (Llada is one such example). And, of course, these models also hallucinate a bunch if you let them.

Redefining a term to suit some straw man AI boogeyman hate only makes it harder to properly discuss these issues.

You’re approaching this from a point where it’s already too late.

If you’re not capable of taking proper care of your pet, don’t get a pet in the first place. Picking up the shit your dog left in a public place is part of owning a dog.

If your kid has a baseball game the next day, don’t go drinking today. That’s the selfish part. Although I would argue if you do get drunk, you kind of just have to deal with it and go to your kids game regardless.

Well they published their source code.

It’s not as permissively licensed as usual open source projects, but I would argue that in the true sense of the phrase, this falls under “open source”.

There seems to be a kinda active ryujinx fork, but I agree that the switch emulation scene got decimated by Nintendo’s abhorrent legal practices.

Still, I’m sure it won’t take long after the switch 2 comes out for a working emulator to appear.

Don’t get me wrong, trump sucks, his tariffs are completely stupid, the US is probably fucked on so many levels.

But.

Don’t buy the switch 2. It’s an overpriced piece of shit with even more overpriced games. Honestly just buy a steam deck and run yuzu.

Removed by mod