> Unless review itself becomes cheaper or better, this just shifts work further downstream and disguising the change as "efficiency"
Or the providers of the models are capable of providing accepted/certified guarantees as to the quality of the output that their models and systems produce.
> There's something with the management from these massive German conglomerates that just lacks any sort of vision.
It's a universally hard tendency to resist as enterprises grow into big organisations.
Company starts small and lean; people involved in making product also do most of everything else. Over time specialist HR, Finance, Legal, Marketing etc functions are added. All try to do their best but all with their own non-product agenda. All usually hired and sitting at or close to the same top table decision making process, all diluting and distracting from the vision/mission of what was important to the organisation in the first place. Eventually, the company's top-level decisions becomes more about that than the product.
... developed a ranking of species most favourably and unfavourably associated with human health markers, called the ‘ZOE Microbiome Health Ranking 2025’. This system showed strong and reproducible associations between the ranking of microbial species and both body mass index and host disease conditions on more than 7,800 additional public samples. ....
The core point - that it's politically convenient to ban things for "other people", especially if they cannot vote you out - is well taken. And I share the scepticism about whether "do something" politics leads to good legislation. However, it is most definitely not hypocritical to have different rules for children and adults; the bodies and minds of children are not fully developed and there are many instances where research indicates they are both more prone to damage and unable to make effective judgement as to their own actions.
As to a social media ban making sense for children: should not the precautionary principle apply? To this end, who has the vested interests and deeper pockets to fund research backing the status quo? And yet where is the research indicating social media is good news for children?
In the article is mentioned gambling, and how the rules are more stringent to children, but rules exists for both, and were put in place together. It seems to me (but I don't have social media, don't watch TV, and am not from UK, so I may just have missed that, so please correct me if that's the case) that the current discourse on social media is all about ban for under 16, but with no consideration on damage control for adults, so it's the "do somethings, but not to voters" situation. To your second point, we don't have research indicating social media is good for adults as well, so shouldn't the same precautionary principle apply for both (maybe with different level of precaution)?
> This is a good way to regulate this. Criminalize people who abuse AI tools to cause harm.
In same way as is done so successfully with guns, speeding automobiles, etc?
These things are capable of inferring photorealistic av deepfakes; with a well drafted law they're more than capable of inferring if what they are being asked to is illegal.
It makes zero sense to wait for the poop to hit the fan and then waste taxes investigating the illegality, punishing criminals, and dealing with impact on victims when it can stopped at source.
That will be part of it. The main driver though that they've been working on for years is trying to figure out how to add just enough desktop to UIKit to allow them to kill off AppKit as a separate thing.
Coding agents like Claude are just one line of AI making inroads. There are lot of nearly tasks that can be almost, but not quite, implemented effectivly with existing tools like Excel and Word. As they seek a return on their investments, are MS likely to target those nearly cases with AI in their Access, Excel, Word etc product lines?
>> I mean, it's there any genuine case you can cover with SO that you cannot with your favorite LLM?
Perhaps better than current models at detecting and pushing back when it sounds like the individual asking the question is thinking of doing something silly/dubious/debatable.
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