A Lot of 'Unskilled' Workers Aren't
bloomberg.com
bloomberg.com
Hahaha. Yesterday I spent a half hour with Comcast's AI phone chatbot. No matter how I tried, it could not understand "cancel Hulu subscription." Finally, it connected me with a human who I said "cancel Hulu subscription" to, and he cancelled it. Mission Accomplished! But the AI chatbot was a total failure.
I am preparing my presentation for DConf, and thought I'd try some relevant pictures. I asked it to "draw a square wheel". It drew a round one. I tried many variations, never got a square wheel, although grok insisted it was a square wheel.
I now and then ask AI to write a function for me. The generated code always looks plausible, but there are always catastrophic bugs in them. The function will include tests (hooray!) but does not include answers to check the results against (boo!).
It doesn't take long to realize that AI has no idea what you're asking for.
AI has a loooong way to go.
Seems working as intended? I’ve used a bank and Starbucks chatbots for customer service. Both times they seem so rudimentary and bad that it seemed anything could’ve been better, no LLM required. It took so much effort to get thru to a human.
I have to believe it was designed that way, to fob off as many as possible.
I don't recall ever having a positive outcome with a customer service chatbot.
I gave the latter a very low rating.
Our Comcast internet connection went out a couple minutes later.
What i mean is, one could trivially craft an LLM prompt that lists various “automated capabilities” the business has as an array (each one maybe backed by an api) and then ask the LLM to rank the 3 closest matches based on the users query. Then have the user confirm if any of those choices are correct. If not, trigger the “speak to a rep” workflow.
When a call center tries that with me, I just respond to all their deflections with "cancel my _____". Eventually, they get the message.
There are different meanings to the word "worth". In the market place, your "worth" is how much value you can create for the person who pays you. Your worth to your family is something entirely different.
It's like the innumerable definitions of the word "free". I've seen many people try to make points by conflating multiple such definitions. The article does this with "worth". It's a worthless(!) argument.
This is not a judgement of the people working those jobs, and never has been really.
Besides, call them literally whatever you want - that will become the new slur on the treadmill of euphemisms.
the thing about automation is that it's a proxy for regulation and governance, and the "freeside" economy will still use a lot of manual work becuase nobody will want the administrative overhead of dealing with AI.
One example from the article was working as a caregiver. My brother worked as a disability carer while he was training to become an engineer. I was living with him at the time, and he started out with a baseline ability to care for others, no particular skills that an average person wouldn't have, and no qualifications other than a police check and a first aid certificate. He was essentially paid to drive people with mental disabilities around and not get frustrated with them.
On the one hand, I get why someone with 20 years experience as a disability carer wouldn't want their job to be seen as something a uni student can pick up in a week. On the other hand, my brother could just go become a carer, so it's not entirely wrong.
My impression is a pervasive disconnect (again, at least in the US) has started to develop between those types of mandatory credentials and the actual skills required for the jobs, or even for training for the jobs. So say, the credential starts to be equated with the skill in hiring or for training admission, when it only bears some weak relationship in reality.
There's lots of causes of this I think, but the net result is a spurious decrease in competition, increased prices, and greater income inequality and underemployment. I think the article is a little odd but is pointing to these kinds of issues.
That's the US classic labor history view.
IMHO more appropriate would be "low skilled labour".
We should use the correct term when describing jobs that require little specialised skill and separate them from the persons performing it (who may be very skillful in other non-related areas).
If there is cultural stigma in using this term, should we sacrifice accuracy and succinctness in technical/professional discussions on related topics by dancing around with terminologies? If we "evolve" and use a new term that is not currently associated with the same stigma, will this neutral term eventually still be associated with the same stigma? If so, is it worth the effort and penalties (e.g. interim confusion) as a whole?
I am genuinely curious about this, I think there are many good points on "both sides of the coin".
I have lots of skills that would be incredibly valuable in an ant context; that doesn't mean they count as "skills" in a human context.
This is pretty true. Though manual labor usually has less prestige at equal pay.
> Skills that pay poorly are skills that can be easily provided by whoever
This is much less true. There are plenty of skills that require a master's degree level of learning but also pay poorly.
There are many more of such masters than the market needs, so the pay drops until Demand meets Supply.
Skilled labor in terms of "needs many years training" outcast skills are practically a hypothetical, and are what I would call 'high entropy' in the sense that it would take a lot of work and rare combinations to achieve. Practically an exercise for science fiction writers to depict say, a society where say heart surgery is viewed as deeply shameful yet still managed to perfect the art of heart surgery anyway.
It's the Law of Supply and Demand.
I wonder if the amount of data needed for efficient central planning is now here.
The fundamental flaw of central planning at scale is that a small number of people will sustainably predict the future well enough to plan better than if they let individuals make decisions for themselves.
It doesn't matter how much data you scrape from sellers, you can only ever work out a lower bound price for goods. That isn't enough for even a super-intelligence to work out how much of that product is needed. You have to let a real market play out to figure out what prices should be. It isn't a question of processing more data from sellers before a centrally planned system can work, central planners literally can't have all the data until after the market's auctioning process has played out.
You can make reasonable guesses, but the supermarkets already do that. The goods on the shelves don't appear by coincidence, a lot of thought goes into it. Central planning can only do that well or (usually) worse.
Of course, this didn't work at all, and the country was a checkerboard of gluts and shortages.
Central economic planning has proven to be inept at handling the chaotic reality of actual markets.
Besides that, we don’t even have “actual markets” - take a look at all the places we’ve extremely distorted things; farm subsidies, for example. Do we have more than enough food, and is it cheap enough?
We’re already funding this stuff, and distorting the market - then playing pretend that it’s all fair competition by closing our eyes and saying “central planning doesn’t work”.
2) It wasn't a data quality issue. It doesn't matter how good the historic data is, they couldn't possibly have predicted future demand. Future demand isn't a function of past data.
3) If you think central planning is going to work, you're going to need an argument for why to have a meaningful conversation. At the moment you're claiming it fails due to data quality issues, but there is no evidence that the central planning failures are due data quality issues. Central planners are limited by the fact that the market-optimal price point for a product is unknown until after the market has cleared, and the market can't clear properly if supply is constrained by a central plan because there will be either a shortage or oversupply. That dynamic doesn't change by having better data, the problem is that the plan prevents the data needed from existing.
[0] In theory I suppose you could have a central plan where you just copy Walmart's existing internal quarterly plan, tell Walmart to do that then don't enforce anything if the situation changes, but that'd be pretty pointless even by government bureaucracy standards.
If demand drops for an uncommon/rare skill, then you can get an oversupply that lasts for decades. Wages can drop a lot despite the skill still being uncommon/rare.
In my younger days, the best programmers were usually physicists.
The law you mention is very nice, on paper. In the real world, there are a very large number of people whose interests it runs contrary to. And those people control quite a bit of our social, economic, and political systems.
The LoS&D is very much "in the real world".
Free markets perform better than any other system, over and over.
One that doesn't abuse the intellectual property system (e.g. patent trolling), or exploit their dominant market position in anti-competitive ways?
When deciding which system "performs better", there are deeper societal factors to consider than just return on investment for shareholders.
> When deciding which system "performs better", there are deeper societal factors to consider than just return on investment for shareholders.
Name an aspect where socialism performs better.
A free market requires a government in order to protect rights and enforce contracts. It's not anarchy.
Economic theory around supply & demand simply describe how economies work. It does not imply that it will lead to a better life for all. In short, the "law" of supply & demand is about price discovery and resource allocation efficiency. It has no moral or ethical component that you seem to feel it implies.