Systemically nigh impossible due to spoilering effect, wasted votes, gerrymandering and so on under FPTP. Even then all would happen is the new party replacing on of the existing ones and still stuck with two party system.

YouTube, cgpgrey, animal Kingdom votes videos.

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;
   © 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”.

Always 50/50 because two party system, FPTP and electoral college.

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.

Lisäksi jättää täysin huomiotta, että töissä käynnissä on kuluja/haittapuolia. On riski työtapaturmasta. Pitemmät krooniset ammattisairaudet ja vaivat. Kulut, työmatka, työruokailu jne.

Töissä käynti ei ole ilmaista, joten ihan ensimmäiseksi työkorvauksen määrän täytyy kattaa syntyvät lisäkulut. Sen jälkeen voidaan alkaa puhua henkilökohtaisen työhön käytetyn ajan korvaamisesta ja niin edelleen.

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.

There not being a better play doesn’t mean that play is a good one. It is a bad play, just the least bad one. What it means the system overall is broken and careening ro a crash, since the actually good plays are not politically viable. Mind you not that they wouldn’t be voter viable, but the gatekeepers who get to choose what is put in front of voters viably don’t want them there, that kind of politically non viable.

Ehhhh. 2016, the year of an open no-incumbent primary? That is not called division, that is called primary democracy working as supposed. Primary is exactly the time, when party membership is under no obligation to show unity. That only needs to happen during the national election stage.

Also just due to winning primary one isn’t as candidate free to ignore other candidate bases. Not out of any high ideals, but hard political reality. No voter is obligated to show up and voters are emotional beings. Slight them and they might stay home (which is the actual risk, instead of them voting for the other party).

It might be “self-harming”, but again voters can be emotional instead of rational. One has to play to their actual psyche, instead of the idealistic perfect rational psyche one would want them to have. Atleast if one wants to win and shouldn’t the aim of democratic party be win by near any means begging, promising the moon to its base, being as enthusiastic and energetic as possible for the national good of avoiding another Trump presidency.

People talk about electorates obligation to avoid another Trump presidency. What about DNCs obligation to go above and beyond to avoid another Trump presidency.

Which is easier to change? The collective psyche layout of 300 million people or one party’s campaign program and political agenda? It’s easier to fix the candidate/candidates program to match the electorate, rather than fix the electorate to match the candidate.

So if there is “division” among party base, it is the candidates and party programs job to move to match, cover and repair the cracks. Not out of high ideals, but since that is the one practically fast enough way to fix the issue. Base isn’t going to suddenly change their psyche and emotional state just, because DNC says to do so out of national good. Again emotional beings, not robotic, rational automatons.

Well even on not being rare, lynxes are stalking predators. Given what noisy clumsy travels us humans are and their keen senses, one is lucky to see a lynx. Since firstly they are always stalking or hiding just naturally and specially so hiding upon most likely spotting human way before human spots them. One could go right by one and not notice it. We aren’t on their menu given our size and not being normally encountered prey species. Also as stalkers unless it is something like a mother lynx protecting its young, it won’t make itself known. Far rather hides and let’s you pass without encounter. Since one less risk of the lynx getting injured in fight, if it can’t just hide away and go unnoticed.

Though on top of that some species of lynx are very endangered.