4 ms·
Are LLMs really going to own the world?
by OccamsMirror 2y ago
Are LLMs really going to own the world?
- ArtTimeInvestor 2y agoIt looks like neural network based software is to surpass humans in intelligence in every task in the forseeable future. If one country moves along this direction faster than the others, no country will stand a chance to compete with them militarily or economically.
- viraptor 2y ago> no country will stand a chance to compete with them militarily or economically. It really depends on how they go about it. It can easily instead end up with lots of people without work, no social security and disillusioned with the country. Instead of being economically great, the country may end up fighting uprisings and sabotage.
- hagbarth 2y agoHow so? First of all, assuming ASI is developed, as it stands now, it will be owned by a private corporation, not a nation state. ASI also will not be magic. Like what exactly would it be doing that enables the country to subject the others? Develop new weapons? We already have the capability to destroy earth. Actually come to think of it, if ASI is an existential threat to other nations, maybe the rational action would be to nuke whichever country develops it first. To safe the world. You see what I am saying? There is such a thing as the real world with real constraints.
- deleted 2y ago[deleted]
- rocmcd 2y agoIf this is true, then shouldn't we expect an economic "bump" from NN/LLMs/AI as they are today? I have not noticed companies or colleagues 10x'ing (hell, or even 1.5x'ing) their productivity from these tools. What am I missing?
- ArtTimeInvestor 2y agoWhat do your colleagues do? I see people getting replaced by AI left and right. Translators, illustrators, voice over artists, data researchers, photographers, models, writers, personal assistants, drivers, programmers ...
- mh- 2y agoThere's an implicit assumption here that if a colleague did figure out how to (e.g.) 10x their output with new tools, the employer would capture all (e.g.) 10x of that increased productivity.
- ben_w 2y agoLLMs aren't the only kind of AI. Having hardware and software suppliers all together makes it more likely even if you assume (like I do) that we're at least one paradigm shift away from the right architecture, despite how impressively general Transformers have been. But software is easy to exfiltrate, so I think anyone with hardware alone can catch up extremely fast.
- throw310822 2y agoIntelligence is everything. These things are intelligent- already superhuman in speed and a few limited domains, soon they're going to exceed humans in almost every respect. The advantage they give to the country that owns them is nuclear-weapons like.
- habinero 2y agoThis is just flat out not true. They're not intelligent and not capable of becoming so. They aren't reliable, by design. They're a wildly overhyped solution in search of a problem.
- throw310822 2y agoI don't understand this attitude and I am not sure where it comes from- either from generic skepticism, or from some sort of psychological refusal.(*) It's just obvious to me that you're completely wrong and you'll have a hard wake up, eventually. * "I know how this works and it's just numbers all the way down" is not an argument of any validity, just to be clear- everything eventually is just physics, blind mechanics.
- Amekedl 2y agoCheck out operations research. The amount of “work” done there is staggering and yet adoption appears abysmal, using such solutions with success only happens as part of a really “well oiled” machine. And what about the simple difficulty going from 99% to 99.9%. What percentage are we even talking about today? We don’t know, but very rich people think it is cool and blindly keep investing more billions.
- habinero 2y agoYou're entirely free to go on and on about how amazing the emperor's clothes are. Nobody can stop you. :) It's fine to chase hype for hobbyist or starter projects, but part of being an engineer is understanding how things actually work and what their limitations are. It's not a virtue to deify a statistics model and make it your entire personality.