Preparing for Ai's Economic Impact: Exploring Policy Responses
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Anthropic's research on policy responses to AI's economic impact is met with skepticism and criticism from the HN community, who question the company's motives and the feasibility of its proposals.
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How seriously would you take a proposal on car pollution regulation and traffic law updates written by Volkswagen?
they more or less wrote the EU emission regulations
the only reason diesel cars were sold in huge numbers in the EU
LLM-Attention centric AI isn’t the end of AI development
So if they are successful at locking in it will be at their own demise because it doesn’t cover the infinity many pathways for AI to continue down, specifically intersections with robotics and physical manipulation, that are ultimately way more impactful on society.
Until the plurality of humans on the earth understand that human exceptionalism is no longer something to be taking for granted (and shouldn’t have been) there’s never going to be effective global governance of technology.
Could you elaborate more on this? FYI fully agreed on the former sentences.
The tasks humans are best at now are different than 10kya.
The world changes, new human jobs are made and humans collectively move up the abstraction chain. Schumpeter called this creative destruction and “capital + technology” is the transition function.
At the point where “capital + technology” does not need a human anymore and that will happen (if not in my lifetime then at least in the next 500 years) then there will be nothing more to argue for or retain.
So unless humanity recognizes this and decides to organize as humans (not as europeans, or alabamans or han etc…) then this is the only possible outcome.
Me personally, I don’t think that’s mathematically/energetically possible for humans to do because we’re not biologically capable of that level of eusocial coordination.
Why do you think this is the only possible outcome? Aren’t we already organized as humans? Won’t people revolt when this really hits the fan?
Revolt is a transitional process only, from one structure to another, it doesn’t change the fundamental math of the fact that humans are not eusocial
Either your definition of organized is different than mine or this is a silly conversation.
Organization means everyone is in the same singular organizational identity - eusocially
The closest formal group seems to be the European Union - but that’s still infinitely far away from what’s needed to survive
Humans either figure out how to form a biological superorganism or go extinct to non-human intelligence
This isn’t happening tomorrow, but on century time scales, it’s obviously the only likely trajectory
Not sure I would use the word organized to describe this though. It actually sounds more like hunter-gatherer society / commune / family. It does seem unlikely that this could happen on a global scale though. It’s more likely to occur in smaller groups, because without some familiarity between the people, they’re unlikely to open up with such personal activities like child rearing.
Anyway, I like your idea. Humans coming together to ensure fairness is going to be necessary. I just don’t think it’s a realistic expectation to expect this at the global scale.
What may be feasible is for people with similar occupations joining together in global labor unions for leverage against the corporations. These unions could have standards for how workers interface with corporations, especially global corporations utilizing AI and or other technologies that impact society in a potentially harmful way.
> I just don’t think it’s a realistic expectation to expect this at the global scale.
This is exactly my point. We dont have the biology for it - mammals don’t have eusocial traits because we’re too complex and egocentric, to the extent that game theoretic defections are individually risky but can have individual benefits.
A group of soldier ants can’t start their own colony because they physically cannot reproduce without a heirarchical queen because they are effectively sterile.
Dunbar number limits the possible social interactions at the depth you describe to 150-250 people at the most. That’s your tribal limit and it’s seen in extant hunter gatherer groups as you describe
While your ideas are valid about global labor cooperation, ultimately it’s stymied by the limitations of the cerebellum size, and you’re back to where you started.
Note that we already tried the hunter gatherer thing for about 250ky and it got overrun by transacional colonialism.
If you want to read my theory work on this here are some resources - note though it’s a lot of reading:
https://kemendo.com/Myth-of-Scarcity.html
https://kemendo.com/GTC.pdf
I wonder, though, whether the issue with humans coming together on a global basis for common issues like labor, has less to do with cerebellum size (or individual weakness) and more to do with active interference from governments and corporations to prevent these alliances from forming.
If people are upset and angry about more fringe issues, it is possible to distract them from the impactful issues they may agree on like wage growth, education, healthcare. I believe until people start to realize this tactic and recognize it and counteract it, the average human will continue to lose ground.
Maybe you are alcohol, gambling, and pornography resistant but maybe you have friends and family that aren't. Are you picking up their slack?
What circumstances make "going Amish" look, not just reasonable, but necessary for survival?
High school version: https://kemendo.com/basiccohesion.html
Full draft PDF https://kemendo.com/GTC.pdf
As the masses fade into permanent unemployment, this will likely coincide with (and be partially caused by) a corresponding proliferation in intelligent humanoid robots.
At a certain point, "turning on them" becomes physically impossible.
What skills won't be replaced? The only ones I can think of either have a large physical component, or are only doable by a tiny fraction of the current workforce.
As for the ones with a physical component (plumbers being the most cited), the cognitive parts of the job (the "skilled" part of skilled labor) can be replaced while having the person just following directions demonstrated onscreen for them. And of course, the robots aren't far behind, since the main hard part of making a capable robot is the AI part.
Robots are far behind.
Mechanical hands with human equivalent performance is as hard as the AI part.
Strong, fast, durable, tough, touch and temp sensitive, dexterous, light, water-proof, energy efficient, non-overheating.
Muscles and tendons in human hands and forearms self-heal and grow stronger with more use.
Mechanical tendons stretch and break. Small motors have plenty of issues of their own.
As a professional robotics engineer I can tell you for a fact they are coming soon.
Maybe you could clarify what your experience on the matter is, how the state of th art looks to you, and most of all what timelines you imagine?
There’s at least a half dozen products, two recently from Unitree and Allegro announced.
Rodney Brooks wrote about the challenges - but frankly it was a submarine piece for his work
https://rodneybrooks.com/why-todays-humanoids-wont-learn-dex...
Come on... show me a robot that can run a farm that grows organic produce at an affordable price. It is the lowest wage job out there. Automating it would make prices far out of range for the 99% - but the billionaires could care less?
But AI can't be held liable for its actions, that is one role. It has no direct access to the context it is working in, so it needs humans as a bridge. In the end AI produce outcomes in the same local context, which is for the user. So from intent to guidance to outcomes they are all user based, costs and risks too.
I find it pessimistic to take that static view on work, as if "that's it, all we needed is invented", and now we are fighting for positions like musical chairs
Daily reminder that the vast majority of value generated by productivity boost brought by technology in the last 50 years doesn't benefit the workers
https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSG4s-x...
but at least a couple of these proposals seem to boil down to needing to tax the absolute crap out of the AI companies. which seems pretty obviously true, and its interesting that the ai companies are already saying that.
This is just cheap PR to launder legitimacy and urgency. To create false equivalence between AI agent and an employee.
I think this is a sign of weakness, having seen AI rolled out in many companies where it already shows signs of being absolute disaster (like summaries changing meaning and losing important details - so tasks go in wrong direction and take time to be corrected, developers creating unprecedented amount of tech debt with their vibe coded features, massive amount of content that sound important, but it is just equivalent of spam, managers spending ours with LLM "researching" strategy feeding the FOMO and so on).
I can't speak to this particular proposal or the motivations behind it, but I think my approach is the smart play in the present circumstances. Why publish something brazenly self-serving that will at best be forgotten two weeks later, or at worst be added to the list of reasons a bunch of people have to hate you, when you could instead earn some goodwill as a benevolent thought leader and maybe get some academics and politicians to come out of the woodwork backing your ideas?
If the industry is successful and a particular player doesn't fall behind the competition, they're going to be making obscene amounts of money regardless. Better to have a happy and successful public that can't imagine life without you than a public in Great-Depression-like conditions that wants you dead and will only vote for politicians who campaign on banning your product.
As an aside, I'm not sold on the idea of taxes that specifically increase the cost of AI. I don't think it's wise to disincentivize AI usage or artificially inflate costs. (That would particularly hurt anyone with use cases that aren't connected to immediate profit.) If AI has the impact most of us would like it to have, the economy will become way more productive and the public will get its share of that through corporate taxes anyway. I'd rather just close tax loopholes and start laying the groundwork for a future system of distributing resources in a post-employment world.
My current preference is a guaranteed educational/training stipend for any unemployed adult who wants one, and changing the standard career advice for the next generation from "learn to code" to "learn to startup". Looking forward a decade from now, if employment as we know it is scarce, but the economy is flush with capital and automated labor is dirt cheap, it seems to me that self-employment will reemerge as the dominant career path — and anyone who can't raise funding for their business (or acquire grants for their research) will simply need to keep leveling up until they can. Maybe eventually we'll have the resources to transition to a full UBI, but in the meantime, we'd need a transitional system that could provide for the unemployed masses without incentivizing everyone else to suddenly quit jobs that were still necessary. Just my 2c.
I agree with this sentiment in the short term for people that have coding or startup skills already. We may need to ask ourselves at some point. Why work for a company when I can use AI to create a competitor to my employer in two months?.
However, this is not a long-term solution as not everyone can be a startup. Startups fail at a huge rate and they’re gonna fail even more and more startups and more people are competing to be startups. Startups don’t pay money until they start making a profit which could be years, so it’s not a legitimate replacement for a current position. This seems like a very, very competitive low, low cost of entry race to the bottom type of market so many of the benefits may quickly disappear.
If someone runs a startup that isn't providing a livable income and they don't have savings to live off of, that startup shouldn't be their full-time job. Of course startups aren't for everyone, just as coding isn't, but there are many other forms of self-employment. Even so, I'd imagine successful startups to be far more common than today in such an environment — if not by percentage, at least by absolute numbers. A world of cheap and abundant capital with engineering and physical labor available at a fraction of the cost of human employees would be an entrepreneur's dream.
Also, AI may be more capable by the time we even get there if we ever do and AI may be a better entrepreneur than a human. Once that happens, look for the cost of AI to go sky high and access to it highly restricted and only available to the elite.
For the same reason that the tech execs do all the other terrible things they do: because they want to own e v e r y t h i n g, and know that they can't do that by acting in good faith.
They want to be the new feudal overlords, and care much less about "goodwill" than they do about making it seem inevitable that they will be the gatekeepers of all thought and labor.
The more they can convince you, the people, and the policymakers that this "AI revolution" is real, and not just a bubble, the less likely everyone is to see through their exaggerations, misdirections, and outright lies to the fact that LLMs are not, and are never going to become, AGI. They are measurably not replacing any significant number of workers. They cannot do our jobs.
I don’t trust them. Their strategy is to say “don’t worry about all your jobs being taken by our technology. We (AI companies) are going to be taxed so much that you are going to be living a wealthy and fruitful life making meme photos and looking at AI porn. Don’t be concerned about how you’ll pay your bills. We’ll work it all out. Trust us.”
Not serious, not worth reading.
Anyone with anxieties over immigration should have those same concerns over AI, many times over.
Skilled immigrants just got a $100,000/year head tax in the US. Where is such a tax for AI?
Financial circularity could also lead to instability.
I hope people will eventually revisit these predictions and admit they were wrong.
Discrimination by law enforcement, exclusion from loan approval, bad moderation on social networking, cheating on exams, creating fake news or media about people, swallowing up user data... all the negative social impact of AI can be achieved without it, and much of it is already illegal anyway.
Legislation that is predicated on AI will fail in the long run. Legislation that focuses on the actual negative outcomes will stand the test of time much more.
Are you working on fixing those root problems? Or after dismissing short term policy bandaids, are you going to go back to working in an industry where you will probably make more money in the short run if governments don't do any tech regulation in the short run?
Your commitment to the long run will lead to paralysis and do nothing in the long run.
But most of the pushback I've seen to AI in policy is so over-fit to current AI that it would be trivial to work around it. You can argue that we'd be letting perfect be the enemy of good, but I think we'd be making policies that will be out of date by the time they even make it into law, and that we'll never make any progress at all.
That said, I'm all for being proven wrong. The US tends to write highly specific legislation so I'm sure it'll try a few of these. The EU tends to write much more vague legislation specifically for this reason. We'll see how they end up working.
I am not a patent attorney, but it seems like a clear violation of copyright. Based on your comment above regarding the breath and focus of laws and the fact that you feel the copyright law was not well specified for the AI situation. How could the current law have been written such that it would’ve handled the AI situation and avoided this mess that we’re in now?
My guess is none of it matters because now the AI is so important and so critical in the minds of many government leaders and business leaders that any violation of copyright will be excused, making the original law, meaningless in this situation, and undercutting this entire discussion.
Yeah we better let these important topics in the hands of very stable people like Musk or Thiel, they for sure know what the people want
> make more money in the short run if governments don't do any tech regulation in the short run?
"Money money money money", homo sapiens decerebration under capitalism is quite something to witness. Maybe just maybe there is more to life than raw productivity and money... The root causes you're talking about are greed and an unbound quest for "progress", piling more in top will certainly not help
If it closes its markets and creates an insular market that provides workers decent pay and focuses on the citizens by having a self reliant economy that minimally require inputs or outputs from other countries, what is stopping companies from leaving the country? Capitalism or at least pure capitalism with open markets appears to be not working for the vast majority of the population of the worldor at least unable to be reconciled with the disparities between different countries. The only groups that appeared to benefit or gain improvements are those at the bottom, because they can be easily exploited while at the same time feeling like they’re making more gains economically. Once this group’s wages reach the level that is higher than the another group, the cycle repeats all the corporations rotate to the new low cost region, causing all sorts of disruption, etc..
>> https://en.wikiquote.org/wiki/H._L._Mencken
With the big differences being massive automatisation, huge reduction of cost and no one to blame when things go wrong... It's like saying a nuke and a knife are the same because they both kill
For example things like privacy and surveillance laws obviously need updating in the face of advances in networking, data collection at scale, etc. Same with copyright in the face of plentiful copying.
But good laws will as you say address what is now possible or dangerous, as opposed to any specific implementation or general purpose technology involved. The tech just sets the context for what protections are needed.
Proposal written by billionaire trying to shift taxation even more away from themselves and even more to everyone else.
> Accelerate permits and approvals for AI infrastructure
Oh, they want that? Who would not say.
The reasons for that will be proposed as protecting the citizens from the evil other country that’s building AI. “Without strong AI, we can’t build weapons to defend the country.” and “without strong AI, our companies won’t be able to compete in the world marketplace.”
Without any modifications - MOOCs have single digit completion rates. This is high quality, free, publicly available educational material.
The vast majority of people do not simply have the time, money, or undivided attention - to get a new domain under their belt.
This is “help miners learn code” territory.
Not sure MOOCs can be taken as an useful alibi to measure success of upskill. Most (employers) won't honor the MOCC certs, and people do MOOC while working. Taking a MOOC doesn't inherently ensure that the learner has mastered the course they took, hence there is less incentive in completing too.
1. https://www.foreignaffairs.com/united-states/coming-ai-backl...
I’m aware that this level of nihilism is difficult for many to stomach - but it’s only nihilism if you believe in fairy tales.
If we are talking about reality then we have to deal with the impossible challenges we are facing.
The fact is that retraining will not work - nor is this the first time it’s been named as a hope up in the past 25 years. (“teaching miners how to code” comes from the last time this was a big hope in America.)
If it helps you feel better - I said unmodified MOOCs.
With some changes, you can increase MOOC completion rates - but there isn’t enough lift even after that.
I used to be a champion for education initiatives to up skill workers - from a time before MOOCs.
The failure of MOOCs was the end of that hope because it showed there was a gape between the ideal and reality.
People simply can’t retrain like that.
Retraining is a pipe dream which will be sold for another 5 years, till most people are underemployed.
This is what happened to factory workers, and to an extent is going to happen to knowledge workers.
The real menace is hidden in the details though - knowledge work is assumed to have one core component - information. Accurate information.
In reality it has two - emotional salience and informational accuracy.
LLMs generate content- I foresee a future where people are underemployed as output verifiers. So a PhD in physics helps you QC an LLM.
The only job left is to own a firm, but even that will be closed because you will either be selling to capital owners or the majority of humanity.
The only hope of technology is that it creates a revolution which upends the preexisting incumbents. But the issue here is the under employment.
Is AI the proverbial apple in Adam and Eve? Are we justifying taking a bite of it just because it’s there? Are we helpless and unable to defend ourselves against it? My worry is that thoughts like these and questions like these are going through young people and their decisions about how to provide and proceed into a career. Are we headed towards learned helplessness?
Incredible stuff...
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