When I use AI tools in topics that I know well, often which I learned in university, I can easily pick out errors in AI output. Those errors occur quite often.

In topics that I don't know, it's damn near impossible to pick out errors. I'm fairly confident those errors still exist. But, I can't see them due to my own knowledge limitations. Regardless, the AI remains confident regarding all output whether correct or not.

The knowledge provided by university which is denoted by those fancy degrees is arguably more valuable in the era of AI due to hallucinations. You need humans who can tell when the AI is correct or not.

The topic is China's K-visa, not the US.

Most people don't want to live under the CCP. China is also wildly racist in a way that is shocking to non-Chinese. I don't see China attracting large numbers of foreigners willing to move and work in the country.

The value of the SAT comes as an objective measure of test taking. Given that students take a lot of those kinds of tests in university, it's also an objective measure of how students ultimately perform in university. The better a student's SAT score, the better they'll tend to do in college.

The fact that it's an objective measure is important. Students can manipulate grades. Some will beg and plead with teachers to turn those B's into A's. Some can just pay off low-paid teachers. Some students can go to private schools that all but guarantee straight A's. The point is that grades can be manipulated. The SAT doesn't suffer from those same problems. Students aren't begging and pleading with SAT test personnel for a better score.

Companies relying on AI to do the work of humans will eventually realize their mistake when 95% of their AI projects fail. Say what you want about humans, at least their projects tend to succeed. Corporate leadership now laying off people are eventually going to reverse course when reality finally catches up with them.

They hit 40.

The smartphones we have today were copied from Apple. The only real comparison before then are Blackberries and Windows phones, both of which are very different implementations.

Eric Schmidt, Google's CEO at the time, was on Apple's board during the time Apple created the iPhone. He was later fired from Apple's board for conflict of interest. It's well known that Google copied other products from companies such as Microsoft. It's clear that Google took the ideas for it's smartphone from Apple.

When Google was founded, they were only a search engine. Android phones didn't come until years later when they stole the idea from Apple.

No, it's what tech leaders such as Zuckerberg have been stating publicly. It's why they're making predictions of AI taking over jobs.

Microsoft Lays Off 6,000, Including Director of AI https://www.informationweek.co...

American AI companies dominate the world in this technology. That tells me the American AI engineers are doing their jobs at the highest level in the world. Stating that American engineers are not "trying hard enough" is pure nonsense.

Right now, American tech companies are laying off workers. That includes companies such as Microsoft laying off engineers who work on everything across the company, including AI. American tech companies are legally required to provide work to Americans first before hiring anyone from outside the country. There's a shortage of work, not a shortage of workers.

So maybe focus on working in AI in your own country instead of trying to find your way into mine.

Remote work enables a race to the bottom. Why pay you a decent salary to work remotely when we can hire someone in Poland or India or China to do the same job for far cheaper? Maybe they're not as good as you as a coder. But, they can query AI just the same as you and get damn near the same result. Oh, and we can hire 5-10 of them for what we'd need to pay you.

The purpose of the H1-B program is to fill labor shortages in specialized fields in the US. We both agree there are no shortages. Therefore, there is no need for H1-B workers.

Regardless, the H1-B is an American program. Since it looks like you’re not an American, we don’t need your input on our laws and how we implement them.

If you would like to hire these workers, then please discuss that option with the leaders of your own country.

You like hiring folks at the peak of confidence on the Dunning-Krugar chart. They've learned just enough to become extremely confident in their own skills. In reality, they've only covered a fraction of what a graduate from a CS program has covered over 4 years.

I've worked with multiple people with this background. They can be very good when working in areas they know and have experience. Problem is that their knowledge is limited. They're often painfully ignorant in certain areas where it's obvious they haven't studied. They can be extremely difficult to instruct because they consistently want to reinvent new ways of working. It gets worse when they achieve any level of success on the team and get to the point where they can influence decisions. This becomes especially problematic when approaching topics such as security and authentication where there are known good standards to follow and not following those standards can result in catastrophic failure. I literally had one graduate of a javascript coding academy argue with me that his security proposal should be a new security standard. He literally wouldn't listen to me when I told him that's not how that works and to just implement OAuth 2. He was the front-end lead and wouldn't accept my answer.

There's too many workers in the market. We no longer need foreign workers for those jobs. Stop the H1-B program for tech jobs.