If AI works you'll be able to make more stuff with fewer people. While that could lead to unemployment historically it's not gone that way. You get more stuff.
Like agricultural employment has gone from ~70% to ~2% but the people who would have dug potatoes make cars, houses, aircraft and the like.
That's quite an unsubstantiated leap. The world has gone through plenty of digital transformations and the number of people in poverty has only _shrank_.
It's hard not to make that leap when so many layoffs are (according to PR releases anyway) attributed to AI adoption. Even if the reality on the ground is that many of these workforce reductions are to make the balance sheets look better (presumably as a bet on AI), it's impossible to ignore the accelerating wealth gap, especially in the context of the gutting of regulations and state actors leveraging world events on prediction markets. We will not be given a fair deal if we simply wait for our benefactors to provide one.
In particular, CS students are feeling it more than most majors. (Especially compared with the shock that most of them probably thought CS was the field for job security.)
Saw an article recently that said CS majors were up there with performing arts majors and art history majors in terms of unemployment rate.
Yes, but during those transformations, the CEOs of the companies selling the products involved weren't actively and aggressively marketing them as being able to replace all the humans they employ.
You can't have it both ways: either LLMs are an amazing, revolutionary technology that can replace many human jobs in unprecedented ways, or it's going to be a mild transition that really only helps people.
> the CEOs of the companies selling the products involved weren't actively and aggressively marketing them as being able to replace all the humans they employ
The assembly line was explicitly about replacing skilled with relatively unskilled labor.
That was exactly what a great many things were marketed as, such as the jacquard loom and dynamite.
What actually happened in each case was that employment went up for a good long while, as the efficiency boost to the sectors touched made investment far more viable. Eventually successive rounds of automation did reduce employment in each of weaving and mining, but it wasn’t an overnight catastrophe as initially advertised or feared.
It isn't the first time a new technology has been pitched to replace many worker's jobs, both successful and unsuccessful versions of the promise have come to pass several times.
I think what they are saying is "that something can replace a job does not inherently imply the next step is poverty". From that perspective, you can absolutely have it both (and many other combinations of) ways.
The number of people in absolute poverty has shrunk, but the proportion of national income held by the wealthy has increased, so economic mobility is declining. There are many reasons for this, but typically deployment of technology is a capital expense and employers aim to realize all the gains from their investment, notwithstanding the upskilling and/or deskilling effect it has on workers, who are treated as fungible economic units rather than people. Nobody likes this except capitalists.
Unemployment rampant. All production remains in the hands of a few. All power (tokens) remains in the hands of a few. Goods are cheaper but no one can buy them. Path to the upper class now guarded closely by tokens, potential avenues for entrepreneurs diminish rapidly. Own an AI or compute, get someone to give you tokens, or live in poverty.
Distribution of abundance in current time is close to evil, America reducing entitlements and support (not expanding). Rampant waste. No reason to think any of this will change.
I'm confused. It seems the parent comment is saying AI proliferation could make cost of goods drop orders of magnitude and you say it's detached from reality because people don't want goods, they want housing food and gas?
Yes they said "relative superabundance". Relative to history there is an abundance of most good and services (including food and housing).
As a Gen Z or Gen A I'm sure it doesn't feel this way, but that's mostly because they are comparing themselves to what they see on social media instead of comparing themselves to how people actually lived 100 years ago, or how people in developing nations lived 20 years ago.
I think point the OP was making is that as we grow abundance people will still be miserable because as expectations rise satisfaction falls. Also most people are susceptible to envy, and the more stuff there is the more statistically likely it is to be distributed unevenly.
Even if the average person's circumstances improve objectively from generation to generation, people's 's instinct are to fixate on the parts of their lives theyre unsatisfied with and to compare themselves with others who are better off - leading to subjective misery.
> Cost of goods and services drops by orders of magnitude at every point in the supply chain.
That sounds great, but how are LLMs supposed to achieve this? You can't just say "AI will make a utopia". You have to present a vision for how it will get us there.
I'm tired of hearing about how AI will solve all the worlds problems. I want to see actual progress towards achieving these goals. And for the most part that hasn't manifested. Most people would consider AI to have had a net negative impact on their lives.
How? The biggest cost of most products comes down to energy cost and the profit margins of each proccess and middleman. Actual labor costs are already a pretty small portion of most products and even if you mine and smelt twice as much material per worker with AI somehow, that is at best a few percentage off the final price. And adding in AI processing isn't going to reduce energy costs or increases wages.
> would 100% expect a commencement speaker to be hyping me up
That’s what this speaker was trying to do. The problem is it was stupid and dishonest. It could have been done properly. But none of that will rise to the level of a roadmap. If you’re looking for a roadmap at commencement, you were failed at multiple steps before.
The funny thing is that it's not even true. People invested in AI just glee at the thought of common men in abject poverty, so this is the marketing that stuck.
Shows you don't need to have red skin and horns to delight in the suffering of starving people.
Like agricultural employment has gone from ~70% to ~2% but the people who would have dug potatoes make cars, houses, aircraft and the like.