Hoover Senior Fellow Paola Sapienza and Institute for Progress’ Distinguished Immigration Counsel Amy Nice examine recently obtained data and explain why the common claim—that immigrants are hired as a source of cheap labor—doesn't hold up under scrutiny. In fact, the opposite may be true…
My tier 2 US tech Bay Area office is 80% immigrants from one country on visa (H1-B or OPT). They never say no, and they are willing to work any hours and take meetings at any time. 90% of management up to CTO is from the same country. This is for tech, its a little less lopsided in non-tech divisions. Most of them used this pipeline (I've checked LinkedIn): 2 years of non-spectacular experience in home country, cheap US master, possibly internship in US company with same ethnic makeup, then OPT, then shoot for the H1-B in company with manager from same country.
American grads now compete with ethnic hiring, foreign work morals, and possibly billions of people with not-so-impressive experience, which I assume is why we see the crowding out of locals. Add to that some groups generally having less scruples about cheating and lying in the application process, as well as being trained in school for passing tests rather than performance, and you get what we see now.
Right. I've seen the same thing in Seattle Wworking places with large numbers of H1-Bs. By and large, the H1-B employees are so desperate to keep their jobs and see so little hope of advancement not extra rewards that they'll work as slow as possible while preserving their careers.
Around the kinds of people who politically put job security above excellent client results, you really do need to work harder to get less done.
Cool. And the other person implies that the queries can search across all rows if necessary? For example if all images have people and the question is which images have the same people in them. Or are you talking about a different project?
I think the previous post refers to a different project. But yes: ThalamusDB can process all rows if necessary, including matching all images that have the same persons in them.
I’m working on a new vision-language model architecture called Onida. Our aim is to match—or surpass—the performance of leading VLMs like LLavA and CogVLM, while operating at a fraction of the cost. Unlike most existing VLMs, which layer vision components onto a language model as an afterthought, Onida is designed from first principles with a truly integrated approach.
This document [1] outlines our key differentiators, and we’re now inviting beta participants to explore and test the technology.
I largely share Yann LeCun’s perspective that scaling LLM-based approaches will eventually hit a plateau, and that a paradigm shift will be necessary. While there is ongoing debate about what that next paradigm should be, I outline my own views on the subject in this paper [1].
Given a long enough timeframe, I think you're right. But I don't think that's a 'near future' state, but probably a 'in a few decades' state. More generally, I believe that eventually we'll reach a 'post-work society' (https://en.wikipedia.org/wiki/Post-work_society).
And that'll be interesting for humanity, as we derive at least some identity from the work we're doing.
Man, I wish I had your optimism. I can see us entering "post-work", but that's only because those who own the means of production no longer require us, and our resulting crises will be much lower on Maslow's Heirarchy of Needs.
Well, at the moment both "growth" and "wealth" have been removed from a lot humanity, having been abstracted into a market that most people can barely, if at all, participate in, and that has nearly entirely moved away from "you're worth $x because you make x widgets". I can't image that will disappear.
I'm not convinced that the indicators they use for growth would stop increasing. As people are so quick to point out, most of these people's worth is in the market, and that stopped being a rational actor a long while ago.
I'm talking about the belief that somehow AI will eventually do all our jobs for us. I don't personally believe that LLMs will get anywhere close to that.
Yeah, I'm definitely agreeing with you on this. Which is why I think we're probably decades out from a post-work society. I do think it's inevitable, but in an optimistic kind of way.
My take is that an LLM is not ever going to lead to AGI, it's fundamentally the wrong paradigm to develop true intelligence.
Either way, I doubt that will happen in my lifetime and I don't spend any time worrying about it.
Interesting indeed. Depending on the country you're in, "post work" will mean your value to the current violent, ruling regime is 0 or negative, with predictable consequences.
Luckily for the regime, the killbots are already here, AI-powered, and under their control.
When AI takes all the jobs, it better start ordering junk from Amazon, have a Costco membership, order in Tacos on Tuesday and watch Instagram reels all day on its brand new iPhone because all the jobless people won’t be able to.
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