Like "ok now that OpenAI Inc has a basic AI, lets be sure to close the door behind us so we don't have to deal with competing startups"
Like "ok now that OpenAI Inc has a basic AI, lets be sure to close the door behind us so we don't have to deal with competing startups"
It's important, in my opinion, to always ask 'who benefits from me believing this?'
What you did have was increasing skepticism that things like fully-realized door-to-door autonomous driving were going happen in the short-run--but a lot of the skeptics didn't think that would necessarily translate into an AI winter.
> who benefits from me believing this?
In the case of this article, presumably the exploited* laborers whose labor conditions might improve if the population to whom this article is addressed both became aware and started to care about the labor conditions of the people behind the systems they use. Trying to 4D chess ourselves into not having to actually address the issue at hand isn’t clever or insightful, it’s just abdication with numbers attached.
* I’m not arguing whether or not the behavior described in the article actually constitutes exploitation or is just the noble hand of the market more perfectly forming working conditions - that’s not my point. The point is if you DO read the article and you DO feel that behavior’s exploitative, scratching your head over who’s got an agenda to want this thing you find abhorrent changed, as opposed to trying to change the behavior you find abhorrent, is the kind of thing people think smart people are supposed to do, and tends to contribute to more things you find abhorrent happening in the world.
FTA:
>"MMC Ventures surveyed 2,830 AI startups in the EU and found that 40% of them didn’t use AI in a meaningful way."
While not the same as an AI winter, it can still be indicative of "peak hype". If accurate, a large portion of companies are claiming to have some nebulous AI advantage aren't really delivering on that promise. It's doesn't have to be astroturfing to be pointing out a hype machine. Particularly if that hype is predicated on a shaky ethical foundation.
If your ethical conundrum is between continuing to allow the exploitation of the post-colonial third world, and to stifle competition in first world markets, I think you need to retake an ethics class because that is not a conundrum.
And yes, somebody has to do the dirty work.
But we don't even know the countries that are being used! So we're back to the original question: is it a little? A lot? Average? Honestly, when I see people spout out raw numbers alarm bells go off in my head. Doesn't matter if it is wage, number of car crashes, or number of murders. We have so many fucking people on this planet that a small percentage of a large number is still a large number. There are definitely people using this in deceitful manners. There are also dumb people, but idiocracy can still be accidentally malicious. The reason it is easy to lie with statistics and data is because it is actually really difficult to compare numbers and data across differing conditions. In this case, it really does not make sense to compare the wages of an American to the wages of a Sri Lankan. The price of an apple in both places isn't equal.
Still, I don't know the answer to my question.
If your goal is to actually help people in a country get out of poverty this is actually quite a difficult goal to achieve without taking over that country (implicitly or explicitly). We don't want to physically invade. We don't want to economically invade. But we also don't want them to sit in poverty so we have to do something right? So how do you do that and let them maintain their independence? They might not even want to work with us to begin with! Don't pretend that these are trivial problems and us westerners sitting at a computer just know what's best. That's how colonialism started in the first place.
The two problems with trying to save the world via AI are the cheapest self driving car is a passenger train driven by "too cheap to automate" human, and an economy based on AI will be too poverty stricken from wealth inequality to permit the AI to generate a profit thus AI is not needed thus no need to destroy everything by applying AI.
The more AI is deployed, the poorer an economy will become, and the cheaper labor will become, making it quite a race to see if the AI gets smarter faster than economic activity implodes.
The most likely outcome of AI boosterism will be something like the environmentalist movement, but anti-AI. Who will be "The Lorax" of anti-AI?
If true information induces feelings in you, perhaps it's more constructive to reflect on the information rather than the motives of the reporter?
Like the movie says: there is no conspiracy. Big brother is not watching you. It’s a headless blunder operating under the illusion of a master plan.
The Sun, positive: https://mobile.twitter.com/rainey_knight/status/161239752558...
The Mirror, positive: https://www.mirror.co.uk/news/uk-news/prince-harry-confirms-...
The Sun, negative: https://www.thesun.co.uk/news/21085974/piers-morgan-harry-ta...
The Mirror, negative: https://www.mirror.co.uk/news/royals/army-fury-prince-harry-...
A simple phrasing like this does not reflect the reality of humanities evolution and resulting biology. We're social creatures, requiring that others make us feel things: https://www.apa.org/monitor/oct05/mirror
Unless you're a psychopath, perhaps: https://www.medicalnewstoday.com/articles/321839
The size of the advertising industry suggests otherwise.
This in 2023, when people feel offended by anything, sounds pretty off...
It'll make a cottage industry of "data made in the USA"
It continues to answer the question: can the west run without maintaining a dedicated underclass -- no.
Should we be paying even less to make sure that we can keep that going? If those people get richer, these systems that benefit us will stop working
*And here’s where I digress to say, again, that, indeed if you are the single mother of a child with a heart condition wholly reliant on the expensive company health care not lapsing for even a minute lest your child not just die but literally explode, taking your whole family and half the neighborhood with them, I’m not judging you. If, on the other hand, you’re a single dude between 20 and 35 with a college degree, significant assets, no debt, and a sellable skillset, yes, you’re the one I’m judging.
1. Companies standards would be much higher if classification was done by engineers paid engineering salaries. And engineers would be directly accountable for model biases instead of bias being excused on the basis of how sausage gets made.
2. Outsourcing classification explicitly means classification is not valuable as a core competency; not an area in which expertise is important; and not an activity deserving of the benefits of direct employment such as financial rewards correlated to business success (e.g. bonuses, raises, options, etc.).
Probably the best example here [0].
[0] https://syncedreview.com/2020/06/30/yann-lecun-quits-twitter...