It's not about using LLM for calculation, it's about automation and agentic. The integration and deployment in enterprise will be a matter of time. Hiring fresh out of school used to be labor and training, but knowing in 5 years the industry will shrink while the senior staff will keep the boat floating aided by AI, the cutoff time is now. There is no need to keep sending young generation to industries that're bound to be automated enmass. And these are in the immediate near term.
Other industries are yet to see how AI will impact, it may or may not ever. But in some science fields, new graduated PhDs are seen the same hiring freeze. The complete outsourcing of school knowledge to LLM is coming to our life real soon, the only factor not making it faster is the data center and energy, which are being worked on to resolve in a couple years. These are the reason AI is not yet as cheap as search and ready for consumer market. But it's cheap or will be cheaper enough in two years for enterprise at a cost lower than human resource. The answer is obvious when looking at it on a 5 year horizon.
I beg to differ. AI made it possible for human to pursue critical thinking. Overwhelmed by the basic facts and routine works, limited by bandwidth and 8 hours a day, we hardly have the luxury to think above and beyond. That's when you hire consulting firms to stuff the content, the ocean of information, the type of work now potentially suitable for AI.
It is time for human to move up the game and focus on the critical thinking, even only the critical thinking while the AI is still unable to perform the critical thinking. Eventually there is the hope that AI would be able to handle the critical thinking, but it remains a hope at the current state of art.
You're in a pipe dream. All the money accrued can and always will feed the ever bigger oligarchs and spreading their power around the world, effectively why the west are more like china in the question. It's already made sure systemically there will never be a "bourgeoisie" united strong enough in china, not in another 500 years. And soon not in the west either.
The same can be said about a cell phone, a car or electric. It's just a matter of time before the globalization and modern way of life hit everybody. But it's always subject to individual who's decided to go offgrid, one can always say No to English and happily ever after. It's a choice with hefty consequences, that's all one needs to know.
Norse people are pretty amazing when it comes to English speaking, next comes German and Dutch. It seems EU people are generally potent in multilingual. Granted English may be like a dialect to them.
Nonetheless, it's the primary reason people are called to back to office, the in person face time is valued much more than remote chat/email. It's not a coincidence all leaders favor face time, hiring is done via the process of "interview", literally asking the "view". Need more proof?
Sure you did, all animal do. Without language, human would live just fine, evidently all animal live this way, deaf people can live, can reason, can triage, may not be sophisticated but they all the underlying reality in their heads, probably gained from try and fail, experiences.
You may not have said it directly but implied, for example if we said A to B, and B to C, the model would have learned the relation and tell you A will go to C, doesn't mean all the sudden it can reason. It's all already in the language and when it has learned enough of numerous forms of A to B, B to C, the relation it's built makes it to give A to C. Yet A to C may very well be some epiphany that we have never thought about. One advantage is the model never get sloppy, it remembers everything, it may overreact/overthink hence hallucination, but it doesn't overlook things or bias like human do (until alignment of course). This is why we're often surprised by the model, but we probably knew it too jut being blind about certain things sometimes so never made the connection.
GPT's model may be limited to language based, but the vast volume of knowledge it has accessed despite language only, is way beyond any individual human can possibly acquire in a life time. That fact alone makes the GPT world model, or whatever it might be, not to be underestimated. This partially explained why we don't feel GPT's answer is not terribly off mark, even brilliant sometimes.
Bing is crippled and nowhere near GPT-4 quality. But for people who don't keep a GPT plus subscription on side and constantly comparing, the difference is not noticeable.
I just upgraded yesterday to 22H2, now my two years old 10th gen i9 felt like a 7th gen i7 which I still have on the side but running Linux after obsoleted it from running Windows. But I just built the i9 two years ago, already I found myself checking on the 12th,13th gen intel cpu prices.
Like a time machine, it's back to 15 years ago when I used to upgrade my computer every two years.
The end of Wintel business model was over so long ago that the current generation of Windows users don't understand what people are talking about, e.g. "Oh, this is just upgrade from 22h1 to 22h2, not Windows 11", LOL.
In the old days of Wintel game, this is when the update will consume so much of your computer resource that you have no choice but upgrade the hardware then restart the cycle of new computer new windows OS, every a few years. It stopped around 10 years ago after Apple woke everybody up. I'm still using my iphone X from 5 years ago and on the latest iOS upgrade, compared to my kids iphone 14 I don't find anything terrible at all on iphone X. Windows has since dropped the "Wintel" model and follow Apple's steps, well, until now.
It is because 22H2 will make your windows 10 so slow (unlike any previous updates) that you ended up having to upgrade the hardware and then go to Windows 11. I knew this because it happened to me yesterday. Everybody knows 22H2 is the last update of Windows 10, from a marketing point it's not meant to make Windows 10 better but make you hate Windows 10. I had my doubt too but sadly I was right.
It may not be the oil industry, what's really going on right now is nuclear is making a comeback. The Renewable energy future may turn out have to be depending on it. Do people pay attention to how much it has cost of the electricity this summer? Without the battery technology there isn't much promise of the solar.
Bigger cars are actually safer in accidents. Not just cowboys, soccer Mom favoring big SUV is practically paying life insurance by paying the cost of gas. My guess is this is more true in rural areas.
Other industries are yet to see how AI will impact, it may or may not ever. But in some science fields, new graduated PhDs are seen the same hiring freeze. The complete outsourcing of school knowledge to LLM is coming to our life real soon, the only factor not making it faster is the data center and energy, which are being worked on to resolve in a couple years. These are the reason AI is not yet as cheap as search and ready for consumer market. But it's cheap or will be cheaper enough in two years for enterprise at a cost lower than human resource. The answer is obvious when looking at it on a 5 year horizon.