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FC/OT: Commencement speaker booed after praising AI as the next Industrial Revolution…

PSU Mike

PSU Mike

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Grant Green said:
Although I would say that part of the point is to reduce work (not necessarily eliminate jobs) I largely agree that the bigger goal is to improve the world. Accelerate technology, help to diagnose and cure disease, climate modeling, improving traffic, solve complex problems, research,etc.

Unfortunately there will be some bad side effects. Like people making music with AI. I HATE that ****.
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Anybody can believe this or not. There are limits to what needs to be solved, and the marginal aggregate value of those things diminishes rapidly. Once a solution is found the trick is to use the least resources possible to repeat it — AI can help with that optimization as well — and then tune it occasionally. The long run need for the capacity is much lower than what it will be at a near-term peak.

What the world will be is awful IMO. Think about how many rich and famous do stupid things because they’re bored, have everything, and keep looking for something more stimulating. Now think of the majority of the world being in that position of having their needs met.
 
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Moogy

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Midnighter said:
Why even bother? Money would be pointless. Yes, I’m a hard neg on AI.
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But think of all the time you'll have to watch all the shows marketed primarily to teenage girls! This is freeing.

Starting this summer, my older son is going to school to study CompSci - particularly AI ... I'll keep you informed how close we are to Skynet taking over, so you can futilely build your resistance.
 
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CFLion

CFLion

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CFLion said:
Yeah, but what "new" jobs will be needed as AI makes its way into every industry? All of those AI models still require human intelligence to initiate, coordinate, audit, validate and implement.
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Midnighter said:
You tell me. The whole point of it is to eliminate jobs.
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In full disclosure, I work in the data center and energy sector. While I’ve never personally met Jensen Huang, I know several people who work directly with him, including some of my clients. Through those relationships, I’ve had a number of discussions not only about how to deploy AI effectively, but also about the ethical considerations surrounding its use.

Outside of the AI industry itself, I’m also seeing many companies actively investing in retraining and retooling their workforce to work alongside AI — not to replace people entirely. There is still a critical need for a “human-in-the-loop.”

One of the best examples is in medical research. Traditionally, research has relied heavily on physical trial and error built around a scientific theory. With AI, researchers can now use digital twins and AI modeling to test theories in days instead of years, quickly eliminating approaches that are unlikely to succeed. That allows "humans" to focus on the most promising solutions.

If you follow Gartner, they recently released a report projecting that AI will become a net job creator by 2028, as organizations learn how to best integrate AI into their industries and identify the new roles and skill sets needed to support and optimize it.
 
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JVP_Yahweh

JVP_Yahweh

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Nov 29, 2004
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CFLion said:
In full disclosure, I work in the data center and energy sector. While I’ve never personally met Jensen Huang, I know several people who work directly with him, including some of my clients. Through those relationships, I’ve had a number of discussions not only about how to deploy AI effectively, but also about the ethical considerations surrounding its use.

Outside of the AI industry itself, I’m also seeing many companies actively investing in retraining and retooling their workforce to work alongside AI — not to replace people entirely. There is still a critical need for a “human-in-the-loop.”

One of the best examples is in medical research. Traditionally, research has relied heavily on physical trial and error built around a scientific theory. With AI, researchers can now use digital twins and AI modeling to test theories in days instead of years, quickly eliminating approaches that are unlikely to succeed. That allows "humans" to focus on the most promising solutions.

If you follow Gartner, they recently released a report projecting that AI will become a net job creator by 2028, as organizations learn how to best integrate AI into their industries and identify the new roles and skill sets needed to support and optimize it.
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I too worked in the industry as a consultant. I don't share your rosy perspective on the use of AI nor do I think this is just another job creation engine like the emergence of PC's in the 90's or cell tech in the 2000's. There is an ego race between about 5 people that want to become the 1st trillionaire in human history. I would name them but everyone knows who they are and it isn't just JH. There is also a desire to automate and reduce labor as much as possible and that is driven by shareholders, venture cap and institutional management of capital.

I believe what Andrew Yang has said is much closer to reality. We are looking at the need for some form of universal basic income in the next 5 years. That of course will be fought on both sides of the political spectrum and money will win that battle

As for Gartner, used them for years to gain niche perspective on many different trending in the IT space. Some of their experts were decent and some were people that had just read a whitepaper before we met with them and it was obvious. They are not agnostic at all either. The tech giants pursuing dominance in AI are funding a lot of what Gartner is writing because its a quid-pro-quo arrangement

If AI is so benign, why has no one done a human capital impact analysis of its implementation? Why is that being kept a secret? Why is no one asking the hard employment use case questions and instead focusing on things like electricity and water consumption and noise? All the talk about locations of data centers is a red herring
 
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Grant Green

Grant Green

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Jan 21, 2004
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PSU Mike said:
Anybody can believe this or not. There are limits to what needs to be solved, and the marginal aggregate value of those things diminishes rapidly. Once a solution is found the trick is to use the least resources possible to repeat it — AI can help with that optimization as well — and then tune it occasionally. The long run need for the capacity is much lower than what it will be at a near-term peak.

What the world will be is awful IMO. Think about how many rich and famous do stupid things because they’re bored, have everything, and keep looking for something more stimulating. Now think of the majority of the world being in that position of having their needs met.
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I'm not quite as pessimistic, as I think AI will provide amazing benefits. However, I share your concern that lack of work will have a negative overall effect. More than boredom, I think lack of a sense of purpose could lead a lot of people down a dark road.
 
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LionJim

LionJim

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Oct 12, 2021
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JVP_Yahweh said:
I too worked in the industry as a consultant. I don't share your rosy perspective on the use of AI nor do I think this is just another job creation engine like the emergence of PC's in the 90's or cell tech in the 2000's. There is an ego race between about 5 people that want to become the 1st trillionaire in human history. I would name them but everyone knows who they are and it isn't just JH. There is also a desire to automate and reduce labor as much as possible and that is driven by shareholders, venture cap and institutional management of capital.

I believe what Andrew Yang has said is much closer to reality. We are looking at the need for some form of universal basic income in the next 5 years. That of course will be fought on both sides of the political spectrum and money will win that battle

As for Gartner, used them for years to gain niche perspective on many different trending in the IT space. Some of their experts were decent and some were people that had just read a whitepaper before we met with them and it was obvious. They are not agnostic at all either. The tech giants pursuing dominance in AI are funding a lot of what Gartner is writing because its a quid-pro-quo arrangement

If AI is so benign, why has no one done a human capital impact analysis of its implementation? Why is that being kept a secret? Why is no one asking the hard employment use case questions and instead focusing on things like electricity and water consumption and noise? All the talk about locations of data centers is a red herring
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Thanks for the thoughtful response. I actually come to this board to learn the straight dope, lol.
 
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Moogy

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PSU Mike said:
Anybody can believe this or not. There are limits to what needs to be solved, and the marginal aggregate value of those things diminishes rapidly. Once a solution is found the trick is to use the least resources possible to repeat it — AI can help with that optimization as well — and then tune it occasionally. The long run need for the capacity is much lower than what it will be at a near-term peak.

What the world will be is awful IMO. Think about how many rich and famous do stupid things because they’re bored, have everything, and keep looking for something more stimulating. Now think of the majority of the world being in that position of having their needs met.
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Industry = just an excuse to keep people preoccupied so they don't harm themselves or others?

That's our species? Maybe AI should take over.
 
CrazyUncleTony

CrazyUncleTony

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May 31, 2022
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Pa$ky859 said:
Agree.

I have a guy putting up a new fence for me today. If AI takes my job and I’m struggling, I don’t pay for a new fence. The fence builders job in some way depends on my job. Trickle down effect.
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Exactly. The only ppl truly safe are plumbers, electricians, HVAC, etc. stuff that ppl point their noses up at bc they “didn’t go to college.” I went to college lol. I have friends who do HVAC and electric. Both out earn me by a long shot lol - especially the HVAC guy.
 
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