variaatio

30 years away from it (reduced from the original 100 years they provided only 5 years ago)

More like estimates on this are completely unreliable. As in that 100 years could have as well been 1000 years. It was pretty much "until an unpredictable technological paradigm shift happens". "100 years in future" is "when we have warp drives and star gates" of estimates. Pretty "when we have advanced to next level of advancement and technology, whenever it happens. 100 years should be good minimum of this not being taken as an actual year number estimate".

30 years is "we see maybe a potential path to this via hypothetical developments of technology in horizon". It's the classical "Fusion is always 30 years away". Until one time it isn't, but that 30 year loop can go on indefinitely, if the hypothetical don't turn to reality. Since you know we thought "maybe that will work, once we put out mind in to it". Oh it didn't, on to chasing next path.

I only know of one project, that has 100 year estimate, that is real. That is the Onkalo deep repository of spent fuel in Finland. It has estimate of spending 100 years being filled and is to be sealed in 2120's and that is an actual date. Since all the tech is known, the sealing process is known, it just happens to take a century to fill the repository bit by bit. Finland is kinda stable country and radiation hazard such long term, that whatever government is to be there in 2120's, they will most likely seal the repository.

Unless "we invent warp drives" happens before that and some new process of actually efficiently and very safely getting rid of the waste is found in some process. (and no that doesn't include current recycling methods. Since those aren't that good to get rid of this large amount and with small enough risk of side harms. Surprise, this was studied by Finland as alternative and it was simply decided "recycling is not good enough, simple enough, efficient enough and safe enough yet. Bury it in bedrock tomb").

Main issue comes from GDPR. When one uses the consent basis for collecting and using information it has to be a free choice. Thus one can't offer "Pay us and we collect less information about you". Hence "pay or consent" is blatantly illegal. Showing ads in generic? You don't need consent. That consent is "I vote with my browser address bar". Thing just is nobody anymore wants to use non tracked ads.....

So in this case DMA 5(2) is just basically re-enforcement and emphasis of previous GDPR principle. from verge

“exercise their right to freely consent to the combination of their personal data.”

from the regulation

2. The gatekeeper shall not do any of the following:
   (a) process, for the purpose of providing online advertising services, personal data of end users using services of third parties that make use of core platform services of the gatekeeper;
   (b) combine personal data from the relevant core platform service with personal data from any further core platform services or from any other services provided by the gatekeeper or with personal data from third-party services;
   (c) cross-use personal data from the relevant core platform service in other services provided separately by the gatekeeper, including other core platform services, and vice versa; and
   (d) sign in end users to other services of the gatekeeper in order to combine personal data,

unless the end user has been presented with the specific choice and has given consent within the meaning of Article 4, point (11), and Article 7 of Regulation (EU) 2016/679.

surprise 2016/679 is..... GDPR. So yeah it's new violation, but pretty much it is "Gatekeepers are under extra additional scrutiny for GDPR stuff. You violate, we can charge you for both GDPR and DMA violation, plus with some extra rules and explicity for DMA".

I think technically already GDPR bans combining without permission, since GDPR demands permission for every use case for consent based processing. There must be consent for processing.... combining is processing, needs consent. However this is interpretation of the general principle of GDPR. It's just that DMA makes it explicit "oh these specific processing, yeah these are processing that need consent per GDPR". Plus it also rules them out of trying to argue "justified interest" legal basis of processing case of the business. Explicitly ruling "these type of processing don't fall under justified interest for these companies, these are only and explicitly per consent type actions".

There isn't much to sell, only the car design. All the manufacturing and major components are Magna International. Magna Steyr handled the manufacturing and the parts that went in were apparently a Magna International companies parts catalog special.

That is just its core function doing its thing transforming inputs to outputs based on learned pattern matching.

It may not have been trained on translation explicitly, but it very much has been trained on these are matching stuff via its training material. Since you know what its training set most likely contained..... dictionaries. Which is as good as asking it to learn translation. Another stuff most likely in training data: language course books, with matching translated sentences in them. Again well you didnt explicitly tell it to learn to translate, but in practice the training data selection did it for you.

Well it could also be a lever or a switch.

Newer ever take Klarnas word for anything. They are the fine and Dandy company whose business model involved by routine fishing for customers bank authorization credentials.

Nah. 2k$ was a cheap PR face save for them. Pay 2k$ or deal for weeks and months with "remember how Tesla was a stingy bad corporate and cancelled a large order to a small business without compensation".

Noh they can go "Well yeah the cancellation wasn't exactly gracefully, but hey we compensated the business for it. Our bad."

Mind you even just paying the while 15k$ would have been small change for them. So I guess they are not utterly (business relations wise) horrible company, but still a cheap conglomerate.

Well difference is you have to know coming to know did the AI produce what you actually wanted.

Anyone can read the letter and know did the AI hallucinate or actually produce what you wanted.

On code. It might produce code, that by first try does what you ask. However turns AI hallucinated a bug into the code for some edge or specialty case.

Hallucinating is not a minor hiccup or minor bug, it is fundamental feature of LLMs. Since it isn't actually smart. It is a stochastic requrgitator. It doesn't know what you asked or understand what it is actually doing. It is matching prompt patterns to output. With enough training patterns to match one statistically usually ends up about there. However this is not quaranteed. Thus the main weakness of the system. More good training data makes it more likely it more often produces good results. However for example for business critical stuff, you aren't interested did it get it about right the 99 other times. It 100% has to get it right, this one time. Since this code goes to a production business deployment.

I guess one can code comprehensive enough verified testing pattern including all the edge cases and with thay verify the result. However now you have just shifted the job. Instead of programmer programming the programming, you have programmer programming the very very comprehensive testing routines. Which can't be LLM done, since the whole point is the testing routines are there to check for the inherent unreliability of the LLM output.

It's a nice toy for someone wanting to make a quick and dirty test code (maybe) to do thing X. Then try to find out does this actually do what I asked or does it have unforeseen behavior. Since I don't know what the behavior of the code is designed to be. Since I didn't write the code. good for toying around and maybe for quick and dirty brainstorming. Not good enough for anything critical, that has to be guaranteed to work with promise of service contract and so on.

So what the future real big job will be is not prompt engineers, but quality assurance and testing engineers who have to be around to guard against hallucinating LLM/ similar AIs. Prompts can be gotten from anyone, what is harder is finding out did the prompt actually produced what it was supposed to produce.

If they made 4 models, two different sized trucks and two different sized SUVs

Yeah. The key is this will be a whole USA tastes specific brand for VW Group. Not just a single model. They are pouring lot of money into this and even VW Group don't make a 2 billion dollar factory on a whim.

Infact I would say what and how well the brand does couple first years isn't that important to VW. If course they want it ramped up and profitable as soon as possible. However this has to be long term play. Otherwise they would have just launched SUV and Pick-up under VW or one other of their existing brands.

Stellantis has Chrysler, RAM, Jeep and so on in place in USA. VW Group wants something similarly matching in place for North American Market. VW went through their brand and IP catalog and realised via Traton they own Navistar, which owns rights to International and well would you look at that International had a pick-up range named Scout. This all went on the burner pretty soon after the Traton-Navistar deal finalised in 2021.

I would even say I wouldn't be surprised, if other stuff wouldn't later on appear from the design catalog as Scout branded for US Market. For example I wouldn't be at all surprised say on a Scout Transporter cargo van later on and so on.

So it might be VW Group has existing model somewhere around the world in place and think it might sell in USA. Well send the blueprints to Scouts factory and have them slap Scout badging and maybe some design curves on the outer paneling. Badge-engineering is a thing.

Well ofcourse they have limited VW brand presence also, but we'll it might be once Scout is up and running Scout might fully take over. Depends I guess how they see the brand caches.

Statistical photography aka computational photography aka supersampling. Statistically bin together number of smaller pixels to cut the amount of noise to create picture of a lower resolution than sensor level, but better quality.

It isn't about need, but about want. Every extra notch of control they can get over workers employment opportunities, they want.

No it really isn't that popular, based on polling done just before the Hamas attack.

Like it is among the most supported among Palestinians, but that leaves out the little matter of majority of Palestinians support no one, trust no one. They support no one, see no hope of better future with any path and pretty much are living due to day trying to manage the practical matters of their lives.