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Comment Re:Everyone loves open source but ... (Score 3, Informative) 30

As others have already pointed out, there is plenty of "tech industry" in the EU, and there is not really anything fundamentally missing in terms of software if one stops using Microsoft or Apple. Way too often in the past, lazy/ignorant/bribed EU politicians could not be bothered to think outside of the Microsoft box, but now that an US president threatens to annex EU territory (Greenland) by military force, even the dumbest of those politicians may have noticed that depending on that kind of "friend" is a very bad idea.

Comment Maybe corruption, maybe defamation (Score 4, Insightful) 10

Given how many parties have big financial incentives to meddle with regulation of digital services, corruption is certainly lucrative in such positions - but at the same time, companies paying for smear campaigns and defamation of good intended regulators is likewise not improbable.

Comment No mention of bicycles? (Score 2) 171

In my home town, riding a bicycle, I am usually as fast as public transport buses without any wait times considered, and when I consider an average wait time for a bus, I am significantly faster on average. The comparison to "walking" makes no sense to me - why would I want to walk instead of riding a bus when I can just as well ride a bicycle, for also almost no cost at all?

Comment Re: Do you also blame cancer victims? (Score 1) 173

Nah, that's all bullshit. You know how I know? Aside from personal experience, biology, and physics? Statistics. Obesity in the US has **tripled** in the past 60 years. It used to be roughly 1 in 10, now it's more than 1 in 3. That's not genetics: genetics doesn't change like that. That's behavior.

It is not a contradiction to have both an increasing ratio of people that eat-to-much-and-move-too-little but also people who are genetically predisposed to easily gain weight. GLP-1 having an effect only while taken is probably bad news for both groups - and very good news for Pharma profits, so they probably already work on a successor that makes people regain their weight within one year of non-use.

Comment I have yet to see a use case for small LLMs (Score 1) 49

Since all shortcomings of the very large language models popular these days are much more pronounced and abundant in the not-so-large-language-models that fit in 8GB, I wonder what use cases this is meant for. I could understand why somebody would want to use some small "AI-upscaler" or "image recognition" in a Raspberry PI... but LLMs?

Comment It's almost as if massive subsidies on EVs... (Score 2) 199

... combined with extra high taxes on combustion engine cars plus low electricity prices and a population that is reasonably wealthy and often has a place to charge their own car at would make a difference for EV adoption. But it's getting tiring to read this same story time and again, while it does not change the different circumstances not favoring EVs elsewhere.

Comment HTML was not bad initially... (Score 2) 60

... when its original idea was to allow the reader to decide how to render pages/texts/fonts preferably, with just a few simple markup and linking elements. But HTML was made terrible later when pixel-pushers and corporations decided that HTML needs to primarily serve advertisements and "corporate identity"-styling, and tons of non-usability-improving and often browser-specific additional features were introduced.

That said, Markdown to me seems like a lesser evil today, which resembles early HTML more than contemporary HTML.

Comment Re:The cause is easy to see (Score 3, Insightful) 105

Those who look further, see enormous potential for AI to solve previously intractable problems in science, engineering, medicine and maybe even politics

But those possibilities are not what LLMs will be useful for, and LLMs are the one thing that billions are invested into - for the single reason that investors bet on LLMs being useful to make many employees redundant. Don't think for a second that those billions are invested into data-centers for LLMs because somebody wants to solve any scientific problems humans could otherwise not solve.

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