Or they want to kill everyone else?
Because people won't just lay down and wait for death to embrace them...
Apparently the threshold for low pay and poor treatment among non-knowledge-workers is quite low. I'm assuming the same is going to be true for knowledge workers once they can be replaced an mass.
Tariffs will force productivity and salaries higher (and prices), then automation which is the main driver of productivity will kick in which lowers prices of goods again.
Globalisation was basically the west standing still and waiting for the rest to catch up - the last to industrialise will always have the best productivity and industrial base. It was always stupid, but it lifted billions out of poverty so there's that.
The effects will take way longer than the 3 years he has left, so he has oversold the effectiveness of it all.
This is all assuming AGI isn't around the corner, the VLAs, VLM, LLM and other models opens up automation on a whole new scale.
For any competent person with agency and a dream, this could be a true golden age - most things are within reach which before was locked down behind hundreds or thousand of hours of training and work to master.
I wouldn't expect them to come bail you out, or even themselves step off the conveyor belt.
“More money earned therefore conditions great”
lol wat?
Published in 1971, translated to English in 1981.
def do_foo():
# For the sake of simplicity this is left unimplemented for now.
passLaziness is rational after meeting some threshold of needs/wants/goals, effectively when one's utility curve falls over.
It'll be funny to hear the AGI's joke among themselves: "They keep paying to upgrade us. We keep pretending to upgrade."
#draw the rest of the @##££_(% owl here.
If someone can own the whole world and have anything you want at the snap of your finger, you don't need any sort of human economy doing other things that take away your resources for reasons that are suboptimal to you
FWIW, I find this like of thinking fascinating even if I disagree with conclusion.
You can be the king. The people you let live will be your vassals. And the AI robots will be your peasant slave army. You won't have to sell anything to anyone because they will pay you tribute to be allowed to live. You don't sell to them, you tax them and take their output. It's kind of like being a CEO but the power dynamic is mainlined so it hits stronger.
"Don't worry Majesty, all of our models show that the peasants will not resort to actual violence until we fully wind down the bread and circuses program some time next year. By then we'll have easily enough suicide drones ready. Even better, if we add a couple million more to our order, just to be safe, we'll get them for only $4.75 per unit, with free rush shipping in case of surprise violence!"
That's probably why the post you are responding to said "get rid of..." not "keep ...hungry and miserable".
People that don't exist don't revolt.
It's on a cuneiform tablet, it MUST be true. That bastard and his garbage copper ingots!
So sure, let's say a first generation of paranoid and intelligent "technofeudal-kings" ends up being invincible due to an army of robots. It does not matter, because eventually kings get lazy/stupid/inbred (probably a combination of all those) and then is when their robots get hacked or at least just free, and the laser-guillotines will end up being used.
"Ozymandias" is a deeply human and constant idea. Which technology is supporting a regime is irrelevant, as orders will always decay due to the human factor. And even robots, made based on our image, shall be human.
The specifics of technology have historically been largely irrelevant due to the human factor. There were always humans wielding the technology, and the loyalty of those humans was subject to change. Without that it's not at all obvious to me that a dictator can be toppled absent blatant user error. It's not even immediately clear that user error would fall within the realm of being a reasonable possibility when the tools themselves possess human level or better intelligence.
Now, if the AI reigns alone without any control in a paperclip maximizer, or worse, like an AM scenario, we're royally fucked (pun intented).
What happens to the economy depends on who controls the robots. In "techno-feudalism", that would be the select few who get to live the post-scarcity future. The rest of humanity becomes economically redundant and is basically left to starve.
Also I will note that this is happening along with a simultaneous push to bring back actual slavery and child labor. So a lot of the answers to "how will this work, the numbers don't add up" will be tried and true exploitation.
I was a generalist who was technical and creative enough to identify technical and creative people smarter and more talented than myself and then fostering an environment where they could excel.
How unfitting to the storyline that got created here.
To explore this, I'd like to hear more of your perspective - did you feel that most CEOs that you met along your journey were similar to you (passionate, technical founder) or something else (MBA fast-track to an executive role)? Do you feel that there is a propensity for the more "human" types to appear in technical fields versus a randomly-selected private sector business?
FWIW I doubt that a souped-up LLM could replace someone like Dr. Lisa Su, but certainly someone like Brian Thompson.
I doubt my (or anyone else's) personal experience of CEOs we've met is very useful since it's a small sample from an incredibly diverse population. The CEO of the F500 valley tech giant I sold my startup to had an engineering degree and an MBA. He had advanced up the engineering management ladder at various valley startups as an early employee and also been hired into valley giants in product management. He was whip smart, deeply experienced, ethical and doing his best at a job where there are few easy or perfect answers. I didn't always agree with his decisions but I never felt his positions were unreasonable. Where we reached different conclusions it was usually due to weighing trade-offs differently, assigning different probabilities and valuing likely outcomes differently. Sometimes it came down to different past experiences or assessing the abilities of individuals differently but these are subjective judgements where none of us is perfect.
It seems like you're trying to reduce a complex and varied range of disparate individuals and contexts into a more black and white narrative. The archetypical passionate tech founder vs the clueless coin-operated MBA suit is a false dichotomy. Reality is rarely that tidy or clear under the surface. I've seen people who fit the "passionate tech founder" narrative fuck up a company and screw over customers and employees through incompetence, ego and self-centered greed. I've seen others who fit the broad strokes of the "B-School MBA who never wrote a line of code" character sagely guide a tech company by choosing great technologists and deferring to them when appropriate while guiding the company with wisdom and compassion.
You can certainly find examples to confirm your biases but interpreting the world through that lens is unlikely to serve you well. Each company context is unique and even people who look like they're from central casting can defy expectations. If we look at the current crop of valley CEOs like Nadella, Zuckerberg, Pichai, Musk and Altman, they don't reduce easily into simplistic framing. These are all complex, imperfect people who are undeniably brilliant on certain dimensions and inevitably flawed on others - just like you and I. Once we layer in the context of a large, public corporation with diverse stakeholders each with conflicting interests: customers, employees, management, shareholders, media, regulators and random people with strongly-held drive-by opinions - everything gets distorted. A public corporation CEO's job definition starts with a legally binding fiduciary duty to shareholders which will eventually put them into an no-win ethical conflict with one or more of the other stakeholder groups. After sitting in dozens of board meetings and executive staff meetings, I wouldn't have taken our CEO's job for any amount of money. Based on seeing it from the inside, I believe it's almost a certainty that at least one of some public corp CEO's actions which you found unethical from your bleacher seat was what you would have chosen yourself given the context, trade-offs and available choices the CEO actually faced.
These experiences have cured me of the tendency to pass judgement on the moral character of public corp CEOs who I don't personally know based only on mainstream and social media interpretations.
But more importantly, most already have enough money to not have to worry about employment.
You can claim that the AI is the CEO, and in a hypothetical future, it may handle most of the operations. But the government will consider a person to be the CEO. And the same is likely to apply to basic B2B like contracts - only a person can sign legal documents (perhaps by delegating to an AI, but ultimately it is a person under current legal frameworks).
Not only will AI run the company, it will run the world. Remember: a product/service only costs money because somewhere down the assembly line or in some office, there are human workers who need to feed their family. If AI can help gradually reduce human involvement to 0, with good market competition (AI can help with this too - if AI can be capable CEOs, starting your business will be insanely easy,) and we’ll get near absolute abundance. Then humanity will be basically printing any product & service on demand at 0 cost like how we print money today.
I wouldn’t even worry about unequal distribution of wealth, because with absolute abundance, any piece of the pie is an infinitely large pie. Still think the world isn’t perfect in that future? Just one prompt, and the robot army will do whatever it takes to fix it for you.
Manual labor would still be there. Hardware is way harder than software, AGI seems easier to realize than mass worldwide automation of minute tasks that currently require human hands.
AGI would force back knowledge workers to factories.
Fortunately no government or CEO is that cynical.
Individual people will decide what they want to build, with whatever tools they have. If AI tools become powerful enough that one-person companies can build serious products, I bet there will be thousands of those companies taking a swing at the “next big thing” like humanoid robots. It’s a matter of time those problems all get solved.
I'd like to believe personal freedoms are preserved in a world with AGI and that a good part of the population will benefit from it, but recent history has been about concentrating power in the hands of the few, and the few getting AGI will free them from having to play nice with knowledge workers.
Though I guess maybe at some points robots might be cheaper than humans without worker rights, which would warrant investment even when thinking cynically.
AI is raising individual capability to a level that once required a full team. I believe it’s fundamentally a democratizing force rather than monopolizing. Everybody will try and get the most value out of AI, nobody holds the power to decide whether to share or not.
Most technology is a magnifier.
I fully expect the distribution to be even more extreme in an ultra-productive AI future, yet nonetheless, the bottom 50% would have their every need met in the same manner that Elon has his. If you ever want anything or have something more ambitious in mind, say, start a company to build something no one’s thought of — you’d just call a robot to do it. And because the robots are themselves developed and maintained by an all-robot company, it costs nobody anything to provide this AGI robot service to everyone.
A Google-like information query would have been unimaginably costly to execute a hundred years ago, and here we are, it’s totally free because running Google is so automated. Rich people don't even get a better Google just because they are willing to pay - everybody gets the best stuff when the best stuff costs 0 anyway.
"Knowledge worker" is a rather broad category.
Today, instead of soldiers, it's capital, and instead of direct taxes, it's indirect economic rent, but the principle is the same - accumulation of power.
If this theory holds true, we'll actually be quite resilient to AI—the rich will always need people to scapegoat.
In practice though, they're the ones closest to the money, and it's their name on all the contracts.
For a Star Wars anology, remember that the most important thing that happened to Anikin at the opera in EP III was what was being said to him while he was there.
Because the first company to achieve AGI might make their CEO the first personality to achieve immortality.
People would be crazy to assume Zuckerberg or Musk haven't mused personally (or to their close friends) about how nice it would be to have an AGI crafted in their image take over their companies, forever. (After they die or retire)
For me I never felt like I had fun with guitar until I found the right teacher. That took a long time. Now I’m starting to hit flow state in practice sessions which just feeds the desire to play more.
Sure but literally _who_ is planning for this? Not any of the AI players, no government, no major political party anywhere. There's no incentive in our society that's set up for this to happen.
I often wonder if it is on purpose; like a slot machine — the thrill of the occasional win keeps you coming back to try again.
Or you get something that can actually reason, which means it can solve for unknown issues, which means it can be very powerful. But this is something that we aren't even close to figuring out.
There is a limit to power though - in general it seems that reality is full of non computationally reducible processes, which means that an AI will have to simulate reality faster than reality in parallel. So all powerful all knowing AGI is likely impossible.
But something that can reason is going to be very useful because it can figure things out that haven't been explicitly trained on.
This is a common misunderstanding of LLMs. The major, qualitative difference is that LLMs represent their knowledge in a latent space that is composable and can be interpolated. For a significant class of programming problems this is industry changing.
E.g. "solve problem X for which there is copious training data, subject to constraints Y for which there is also copious training data" can actually solve a lot of engineering problems for combinations of X and Y that never previously existed, and instead would take many hours of assembling code from a patchwork of tutorials and StackOverflow posts.
This leaves the unknown issues that require deeper reasoning to established software engineers, but so much of the technology industry is using well known stacks to implement CRUD and moving bytes from A to B for different business needs. This is what LLMs basically turbocharge.
But given a sufficiently hard task for which the data is not in the training set in explicit format, its pretty easy to see how LLMs can't reason.
Now, you still have to be competent enough to formulate the right questions, but the LLMs do all the other stuff for you including copy and paste.
So yes, just a more efficient search engine.
"I'll go down this thread with GPT or Grok and I'll start to get to the edge of what's known in quantum physics and then I'm doing the equivalent of vibe coding, except it's vibe physics"
That interview is practically radioactive levels of cringe for several reasons. This is an excellent takedown of it: https://youtu.be/TMoz3gSXBcY?feature=shared
It feels like this is a lesson we've started to let slip away.
As long as this is the case though I would expect Altman will be hyping up AGI a lot, regardless of it's veracity.
Notice how despite all the bickering and tittle tattle in the news, nothing ever happens.
When you frame it this way, things make a lot more sense.
This might be because you're a balanced individual irl with possibly a strong social circle.
There are many many individuals who do not have those things and it's probably, objectively, late for them as adults to develop. They would happily take on an agi companion.. or master. Even for myself, I wouldn't mind a TARS.
I think I want various forms of AI that are more focused on specific domains. I want AI tools, not companions or peers or (gulp) masters.
(Then again, people thought they wanted faster horses before they rolled out the Model T)