Islands are extremely vulnerable to climate change all over, as they are completely dependent in near-term precipitation for all their water (no rivers, no aquifers).
I think it's a bit of an exaggeration. There's an interference effect but there's people who compete in natural bodybuilding that run marathons as well.
> You don't trust the multi-billion dollar behemoth, but you trust the militarized multi-trillion dollar behemoth to play 'robin hood'?
Nobody's trusting anyone, we're just enjoying the benefits of true competition much like the working middle class gained benefits between the ideological competition of the Cold War.
I'm not really sure that I agree. The LLM paradigm basically allows for the same development techniques, for better or worse, but amplified.
So if you were lazily copying the first blog result in Google, getting the first answer from an LLM is equivalent, but the output is actually likely to be better.
If you wanted to do your research on various techniques and evaluate alternatives, LLMs can amplify your capacity to research and to have specific considerations for your specific problem.
LLMs aren't going to solve people's natural inclination towards laziness.
Additionally, while it's true that people may read and learn less about the "lower" levels of software plumbing, it enables enormous possibilities of higher level thinking that before were limited by the amount of manpower you needed.
For example, with LLMs I can try different test sharding strategies or trivially change from factories to fixtures in large test suites. This would have been busywork or drudgery; now I can evaluate several architectural solutions which would not have been possible before.
> till I have the feeling that this only works because of the vast accumulated knowledge pre-AI
I'm not about to say that there's nothing new under the sun, but parsers are a really well-understood problem where 99.9% of people don't need frontier knowledge and wouldn't be in a position to use it anyway.
And I don't think that people doing research on parsers would ever rely on LLMs for precisely that reason. But we're not parser researchers right?
He's not apologizing for young energy. Young energy is a wonderful thing but without accompanying wisdom and restfulness for the vast majority of people is just spinning your wheels in place burning out and not achieving anything of importance.
They are saying a very different, obvious thing if you don't want to be cynical. And I say this as someone with some very strong opinions about many things.
* The tech billionaries were not publicly associating with far-right figures or cryptofascist belives, or at least were doing so quietly while promoting ideas of technology as social progress
* A lot of the tech startups were seen as fighting entrenched interests grounded in regulatory capture and people had the illusion that the next generation of companies supplanting these wouldn't succumb to the same factors.
* Donald Trump as a phenomenon of current politics did not quite exist yet, so we didn't have to witness these people sucking up to him
I would also never use the word "solve", as this is just for human usage. The ecosystems themselves are irreversibly destroyed.