Horses: AI Progress Is Steady. Human Equivalence Is Sudden
Key topics
The debate rages on: is AI progress a steady march forward or a series of breakthroughs punctuated by periods of stagnation? Some commenters, like GaggiX, point to the rapid advancements in chatbots like ChatGPT over the past three years as evidence of explosive growth, while others, like barbazoo, argue that individual benchmarks don't tell the same story. As dcre and raincole counter that numerous benchmarks show continual improvement, others like jacobsenscott and whycombinetor share frustrations with AI's current limitations, particularly in code generation. Meanwhile, trollbridge and machomaster highlight AI's potential to augment human capabilities, while bluefirebrand provocatively suggests that AI's impact on job satisfaction and human flourishing is actually negative.
Snapshot generated from the HN discussion
Discussion Activity
Very active discussionFirst comment
58m
Peak period
107
0-6h
Avg / period
20
Based on 160 loaded comments
Key moments
- 01Story posted
Dec 8, 2025 at 7:26 PM EST
27 days ago
Step 01 - 02First comment
Dec 8, 2025 at 8:25 PM EST
58m after posting
Step 02 - 03Peak activity
107 comments in 0-6h
Hottest window of the conversation
Step 03 - 04Latest activity
Dec 12, 2025 at 9:14 AM EST
24 days ago
Step 04
Generating AI Summary...
Analyzing up to 500 comments to identify key contributors and discussion patterns
Want the full context?
Jump to the original sources
Read the primary article or dive into the live Hacker News thread when you're ready.
Before someone says "but benchmark doesn't reflect real world..." please name what metric you think is meaningful if not benchmark. Token consumption? OpenAI/Anthropic revenue?
This will never change because you can only use an LLM to generate code (or any other type of output) you already know how to produce and are expert at - because you can never trust the output.
If you're creating basic CRUDs, what on earth are you doing? That kind of thing should have been automated a long time ago.
It is true that LLMs make it easier to build these kind of things without having to become a competent programmer first.
W.r.t code changes especially small ones (say 50 lines spread across 5 files), if you can't get an agent to make nearly exactly the code changes you want, just faster than you, that's a you problem at this point. If it maybe would take you 15 minutes, grok-code-fast-1 agent can do it in 2.
Job satisfaction and human flourishing
By those metrics, AI is getting worse and worse
AI is able to speed up the progress, to give more resources, to give the most important thing people have - time. The fact that these incredible gifts are misused (or used inefficiently) is not the problem of AI. This would be like complaining that the objective positive of increased food production is actually a negative, because people are getting fatter.
1. Is there steady progress in AI?
2. What example do you need? In every single benchmark AI is getting better and better.
3. Job satisfaction and human flourishing.
Hence my answer "AI is very satisfied in doing the job, just ask it". It came about because of the stupid comment 3, which tried to link and put a blame on unrelatable things (akin to refering to obesity when asked what metrics make him say that agriculture/transportation have not made progress in the last 100 years) and at the same time anthropomorphed AI. I only accepted the premise and continued answering on the same level in order to demonstrate stupidity of their answer.
I was answering user "lomase".
I could not care less about AI's satisfaction in anything
The figures for cost are wildly off to start with.
And that really is the entire question at this point: Which domains will AI win in by a sufficient margin to be worth it?
This is an assumption for the best-case scenario, but I think you could also just take the marginal case. Steady progress builds until you get past the state of the art system, and then the switch becomes easy to justify.
Not detracting from the article, I think it's a fun way to shake your brain into the entirely appropriate space of "rapid change is possible"!
[0] https://pmc.ncbi.nlm.nih.gov/articles/PMC7023172/
https://en.wikipedia.org/wiki/Internal_combustion_engine
The question is how do our individuals, and more importantly our various social and economic systems handle it when exactly what humans can do to provide value for each other shifts rapidly, and balances of power shift rapidly.
If the benefits of AI accrue to/are captured by a very small number of people, and the costs are widely dispersed things can go very badly without strong societies that are able to mitigate the downsides and spread the upsides.
But from the perspective of a human being, an animal, and the environment that needs love, connection, generosity and care, another human being who can provide those is priceless.
I propose we break away and create our own new economy and the ultra-wealthy can stay in their fully optimised machine dominated bunkers.
They sure as shit won't be content to leave the rest of us alone.
That said my theory about power and privilege is that it's actually just a symptom of a deep fear of death. The reason gaining more money/power/status never lets up is because there's no amount of money/power/status that can satiate that fear, but somehow naively there's a belief that it can. I wouldn't be surprised if most people who have any amount of wealth has a terrible fear of losing it all, and to somebody whose identity is tied to that wealth, that's as good as death.
https://www.youtube.com/watch?v=J7GY1Xg6X20
You can definitely use AI and automation to help yourself and your family/community rather than the oligarchs. You set the prompts. If AI is smart enough to do your old job, it is also smart enough to support you be independent.
https://www.youtube.com/watch?v=J7GY1Xg6X20
AI, at the limit, is a vampiric technology, sucking the differentiated economic value from those that can train it. What happens when there are no more hosts to donate more training-blood? This, to me, is a big problem, because a model will tend to drift from reality without more training-blood.
The owners of the tech need to reinvest in the hosts.
The problem for me is the point of the economy in the limit where robots are better, faster and cheaper than any human at any job. If the robots don’t decide we’re worth keeping around we might end up worse than horses.
[1] https://en.wikipedia.org/wiki/Moravec's_paradox
But machines can experience neither pain nor pleasure.
LLMs have over 1B users and exchange over 1T tokens with us per day. We put them through all conceivable tasks and provide support for completing those tasks, and push back when the model veers off. We test LLM ideas in reality (like experiment following hypothesis) and use that information to iterate. These logs are gold for training on how to apply AI in real world.
Banks used to have rooms full of bank clerks who manually did double-entry bookkeeping for all the bank's transactions. For most people, this was a very boring job, and it made bank transactions slow and expensive. In the 50's and 60's we replaced all these people with computers. An entire career of "bank clerk" vanished, and it was a net good for humanity. The cost of bank transactions came down (by a lot!), banks became more responsive and served their customers better. And the people who had to do double-entry bookkeeping all day long got to do other, probably more interesting, jobs.
There are a ton of current careers that are just email + meetings + powerpoint + spreadsheet that can go the same way. They're boring jobs (for most people doing them) and having humans do them makes administration slow and expensive. Automating them will be a net good for humanity. Imagine if "this meeting could have been an email" actually moves to "this meeting never happened at all because the person making the decision just told the LLM and it did it".
You are right that the danger is that most of the benefits of this automation will accrue to capital, but this didn't happen with the bank clerk automation - bank customers accrued a lot of the benefits too. I suspect the same will be true with this automation - if we can create and scale organisations easier and cheaper without employing all the admin staff that we currently do, then maybe we create more agile, responsive, organisations that serve their customers better.
> There are a ton of current careers that are just email + meetings + powerpoint + spreadsheet that can go the same way.
Managing risks, can't automate it. Every project and task needs a responsibility sink.
I don't disagree, though I'd put it more as "machines cannot take responsibility for decisions, so machines must not have authority to make decisions".
But we've all been in meetings where there are too many people in the room, and only one person's opinion really counts. Replacing those other people with an LLM capable of acting on the decision would be a net positive for everyone involved.
The point about ai not having “skin” (I assume “skin in the game”) is well taken. I say often that “if you’ve assigned an ai agent the ‘a’ in a raci matrix, you’re doing it wrong”. Very important lesson that some company will learn publicly soon enough.
I'm not sure most of those organizations will have many customers left, if every white collar admin job has been automated away, and all those people are sitting unemployed with whatever little income their country's social safety net provides.
Automating away all the "boring jobs" leads to an economic collapse, unless you find another way for those people to earn their living.
Humans will continue to have certain desires far outstripping the supply we have for a long time to come.
We still don’t have cures for all diseases, personal robot chefs & maids, and an ideal house for everyone. Not all have the time to socialize as much as they wish with their family and friends.
There will continue to be work for humans as long as humans provide value & deep connections beyond what automation can. The jobs could themselves become more desirable with machines automating the boring and dangerous parts, leaving humans to form deeper connections and be creatively human.
The transition period can be painful. There should be sufficient preparation and support to minimize the suffering.
Workers will need to have access to affordable and effective methods to retrain for new roles that will emerge.
“soft” skills such as empathetic communication and tact could surge in value.
Or, as Cory Doctorow argues, the machines could become tools to extract "efficiency" by helping the employer make their workers lives miserable. An example of this is Amazon and the way it treats its drivers and warehouse workers.
Yes, that's what happens. All those people find other jobs, do other work, and that new work is usually much less boring than the old work, because boring work is easier to automate.
Historically, economies have changed and grown because of automation, but not collapsed.
I don't mean to pick on your example too much. However, when I worked in financial audit, reviewing journal entries spit out from SAP was mind numbingly boring. I loved doing double-entry bookkeeping in my college courses. Modern public accounting is much, much more boring and worse work than it was before. Balancing entries is enjoyable to me. Interacting with the terrible software tools is horrific.
I guess people that would have done accounting are doing other, hopefully more interesting jobs in the sense that absolute numbers of US accountants is on a large decline due to the low pay and the highly boring work. I myself am certainly one of them as a software engineer career switcher. But the actual work for a modern accountant has not been improved in terms of interesting tasks to do. It's also become the email + meetings + spreadsheet that you mentioned because there wasn't much else for it to evolve into.
I would hate that work, but luckily we have all sorts of different people in the world who enjoy different things. I hope you find something that you really enjoy doing.
it's interesting how it's never your job that will be automated away in this fantasy, it's always someone else's.
I can’t help but smile at the possibility that you could be a bot.
And not very long after, 93 per cent of those horses had disappeared.
I very much hope we'll get the two decades that horses did."
I'm reminded of the idiom "be careful what you wish for, as you might just get it." Rapid technogical change has historically lead to prosperity over the long term but not in the short term. My fear is that the pace of change this time around is so rapid that the short term destruction will not be something that can be recovered from even over the longer term.
At least currently humans do not need AI to reproduce.
Pray it’s still humans who ask these kinds of questions about AI, not the other way around.
That's what Sandy over the road (born 1932, died last year), used to hitch up every morning at 4am, when he was ten, to sled a tank of water back to the farm from the local spring.
https://time.com/archive/6632231/recreation-return-of-the-ho...
turns out the chart is about farm horses only as counted by the USDA not including any recreational horses. So this is nore about tractors for horses, not passenger cars.
So thats an optional future humans can hope for too.
---
City horses (the ones replaced by cars and trucks) were nearly extinct by 1930 already.
City horses were formerly almost exclusively bred on farms but because of their practical disappearance such breeding is no longer necessary. They have declined in numbers from 3,500,000 in 1910 to a few hundred thousand in 1930.
https://www2.census.gov/library/publications/decennial/1930/...
1. The release of Claude Code in February
2. The release of Opus 4.5 two weeks ago
In both of these cases, it felt like no big new unlocks were made. These releases aren’t like OpenAI’s o1, where they introduced reasoning models with entirely new capabilities, or their Pro offerings, which still feel like the smartest chatbots in the world to me.
Instead, these releases just brought a new user interface, and improved reliability. And yet these two releases mark the biggest increases in my AI usage. These releases caused the utility of AI for my work to pass thresholds where Claude Code became my default way to get LLMs to read my code, and then Opus 4.5 became my default way to make code changes.
Remember when we had two weeks of data, and governments acted like Covid was projected to kill everyone by next Tuesday?
As the potential of AI technical agents has gone from an interesting discussion to extraordinarily obvious as to what the outcome is going to be, HN has comically shifted negative in tone on AI. They doth protest too much.
I think it's a very clear case of personal bias. The machines are rapidly coming for the lucrative software jobs. So those with an interest in protecting lucrative tech jobs are talking their book. The hollowing out of Silicon Valley is imminent, as other industrial areas before it. Maybe 10% of the existing software development jobs will remain. There's no time to form powerful unions to stop what's happening, it's already far too late.
I think AI tools are great, and I use them daily and know their limits. Your view is commonly held by management or execs who don't have their boots on the ground.
and while we can’t know we can also… kind of know or look at data etc…
IntuitionLabs, “AI’s Impact on Graduate Jobs: A 2025 Data Analysis” (2025) -
https://intuitionlabs.ai/pdfs/ai-s-impact-on-graduate-jobs-a...
Indeed Hiring Lab, “AI at Work Report 2025: How GenAI is Rewiring the DNA of Jobs” (September 2025) -
https://www.hiringlab.org/wp-content/uploads/2025/09/Indeed-...
I didn’t read all of that, but what I gathered is that it’s relying on survey response about future expectation? And probably being conflated a bit with the end of ZIRP and the effect that had on the market in general. I think it’s rather more likely that tech companies were allowed to play with funny money for a while, driving up demand, and suddenly when we are on a rebound from that people want to point to AI as a scapegoat to avoid saying, “Yeah we over hired while it was advantageous and now we are cutting back to prior levels.” I’ve seen first hand what happens to tech businesses that try to go “all in on AI” and it isn’t a happy story for the company anymore than the employees.
I have noticed, however, that people who are either not programmers or who are not very good programmers report that they can derive a lot of benefit from AI tools, since now they can make simple programs and get them to work. The most common use case seems to be some kind of CRUD app. It's very understandable this seems revolutionary for people who formerly couldn't make programs at all.
For those of us who are busy trying to deliver what we've promised customers we can do, I find I get far less use out of AI tools than I wish I did. In our business we really do not have the budget to add another senior software engineer, and we don't the spare management/mentor/team lead capacity to take on another intern or junior. So we're really positioned to be taking advantage of all these promises I keep hearing about AI, but in practical terms, it saves me at an architect or staff level maybe 10% of my time and for one of our seniors maybe 5%.
So I end up being a little dismissive when I hear that AI is going to become 80% of GDP and will be completely automating absolutely everything, when what I actually spend my day on is the same-old same-old of trying to get some vendor framework to do what I want to get some sensor data out of their equipment and deliver apps to end customers that use enough of my own infrastructure that they don't require $2,000 a month of cloud hosting services per user. (I picked that example since at one customer, that's what we were brought in to replace: that kind of cost simply doesn't scale.)
I don't think you can characterise it as a sentiment of the community as a whole. While every AI thread seems to have it's share of AI detractors, the usernames of the posters are becoming familiar. I think it might be more accurate to say that there is a very active subset of users with that opinion.
This might hold true for the discourse in the wider community. You see a lot of coverage about artists outraged by AI, but when I speak to artists they have a much more moderate opinion. Cautious, but intrigued. A good number of them are looking forward to a world that embraces more ambitious creativity. If AI can replicate things within a standard deviation of the mean, the abundance of that content there will create an appetite for something further out.
But the temptation of easy ideas cuts both ways. "Oldsters hate change" is a blanket dismissal, and there are legitimate concerns in that body of comments.
even with year 2020 tech you could automate most work that needs to, if our industry wouldn't endlessly keep disrupting itself and have a little bit of discipline.
so once ai destroys desk jobs and the creative jobs, then what? chill out? too bad anyone who has a house won't let more be built.
Tech and AI have taken off in the US partially because they’re in the domain of software, which hasnt bee regulated to the point of deliberate inefficiency like other industries in the US.
(I pick this example because our regulation of insurance companies has (unintuitively) incentivized them to pay more for care. So it’s an example of poor regulation imo)
Stuff like this isn't Wall Street or Billionaires or whatever bogeyman - it's our neighbors: https://bendyimby.com/2024/04/16/the-hearing-and-the-housing...
However regulation is helpful for those already sick or with pre-existing conditions. Developed countries with well-regulated systems also have better health outcomes than the US does.
We've blundered into a system that has the worst parts of socialized health care and private health insurance without any of the benefits.
What do you mean? Several Asian cities have housing crises far worse than the US in local purchasing power, and I'd even argue that a "cheap" home in many Asian countries is going to be of a far lower quality than a "cheap" home in the US.
As it is now anyone with assets is only barely affected by inflation while those who earn a living from wages have their livelihood eroded over time covertly.
Compare sorting by median vs average to get a sense of the issue; https://en.wikipedia.org/wiki/List_of_countries_by_wealth_pe...
This is a recent development where the median wealth of citizens in progressively taxes nations has quickly overtaken the median wealth of USA citizens.
All it takes is tax on the extremely wealthy and lessening taxes on the middle class… seems obvious right? Yet things gave consistently been going the other way for along time in the USA.
The richest of the rich have purchased islands where they can hole up.
The bunkers are in case of nuclear war or serious pandemics, not this
If all that fails, they have their underground bunkers on faraway islands and/or backup citizenships.
Agreed and I think this is a result of a naive belief that we humans tend to have that controlling thoughts can control reality. Politicians still live by this belief but eventually reality does catch up. By that time all trust is long gone.
People usually change their behavior after some pretty horrific events. So I would predict something like that in future. For both Europe and US too.
You could tax 100% of all of the top 1%'s income (not progressively, just a flat 100% tax) and it'd cover less than double the federal government's budget deficit in the US. There would be just enough left over to pay for making the covid 19 ACA subsidies permanent and a few other pet projects.
Of course, you can't actually tax 100% of their income. In fact, you'd need higher taxes on the top 10% than anywhere else in the West to cover the deficit, significantly expand social programs to have an impact, and lower taxes on the middle class.
It should be pointed out that Australia has higher taxes on their middle class than the US does. It tops out at 45% (plus 2% for medicare) for anyone at $190k or above.
If you live in New York City, and you're in the top 1% of income earners (taking cash salary rather than equity options) you're looking at a federal tax rate of 37%, a state tax rate of 10.9%, and a city income tax rate of 3.876% for a total of 51.77%. Some other states have similarly high tax brackets, others are less, and others yet use other schemes like no income tax but higher sales and property taxes.
Not quite so obvious when you look closer at it.
How much of the current burden is shouldered by the middle class? How much by the 1%? How does that compare to other Western nations? What measurable effect would raising this on the 1% be? What about the middle class?
physical products & energy are the two things that are relevant to people's wellbeing.
right now A.I is sucking up the energy & the RAM - so is it gonna translate into a net positive ?
That's just an example, but the pattern will easily repeat. One thing that came out of the post-pandemic era is that the lowest deciles saw the biggest rises in income. Consequently, things like Doordash became more expensive, and stuff like McDonald's stopped staffing as much.
This isn't some grand secret, but most Americans who post on Twitter, HN, or Reddit consider the results some kind of tragedy, though it is the natural thing that happens when people become much higher income: you can't hire many of them to do low-productivity jobs like bus a McD's table.
That's what life looks like when others get richer relative to you. You can't consume the fruits of their labor for cheap. And they will compete for you with the things that you decided to place supply controls on. The highly-educated downwardly-mobile see this most acutely, which is why you see it commonly among the educated children of the past elite.
So the young want cheap affordable housing, right in the middle of Manhattan, never going to happen.
Think of it another way. It's not that these things are more expensive. It's that the average US worker simply doesn't provide anything of value. China provides the things of value now. How the government corrected for this was to flood the economy with cash. So it looks like things got more expensive, when really it's that wages reduced to match reality. US citizens selling each other lattes back and forth, producing nothing of actual value. US companies bleeding people dry with fees. The final straw was an old man uniting the world against the USA instead of against China.
If you want to know where this is going, look at Britain: the previous world super power. Britain governed far more of the earth than the USA ever did, and now look at it. Now the only thing it produces is ASBOs. I suppose it also sells weapons to dictators and provides banking to them. That is the USA's future.
If you were to buy that same house today, your mortgage would be about $5100/m-- about 6 weeks of pay.
And the reason is exactly what you're saying: the average US worker doesn't provide as much value anymore. Just as her factory job got optimized/automated, AI is going to do the same for many. Tech workers were expensive for a while and now they're not. The problem is that there seems to be less and less opportunity where one can bring value. The only true winners are the factory owners and AI providers in this scenario. The only chance anybody has right now is to cut the middleman out, start their own business, and pray it takes off.
The key issue upstream is that too many good jobs are concentrated in too few places, and that leads to consumerism stimulating those places and making them further more attractive. Technology, through Covid, actually gave governments a get out of jail free card by allowing remote work to become more mainstream. Only to just not grasp the golden egg they were given. Pivot economies more to remote working more actively helps distribute people to other places with more affordable home. Over time, and again slowly, those places become more attractive because people now actually live there.
Existing homeowners can still wrap themselves in the warm glow of their high house prices which only loses "real" value through inflation which people tend not to notice as much.
But we decided to try to go back to the status quo so oh well
- House prices increasing while wages are stagnant
- Home loans and increasing prices mean the people going for huge leverages on their home purchases
- Supply is essentially government controlled, and dependent, and building more housing is heavily politicized
- A lot of dubious money is being created, which gets converted to good money by investing it in the housing market
- Housing is genuinely difficult to build and labor and capital intensive
> The key issue upstream is that too many good jobs are concentrated in too few places
This no longer is the case with remote work on the rise, If that were the case, housing prices would increase faster in trendy overpriced places, but the increase as of late was more uniform, with places like London growing slower (or even depreciating, relatively speaking) to less in-demand places.
What is happening with house prices in london is a combination of the simple effects of high-ish interest rates v high house prices (limiting affordability) and also flats in general taking a beating from post-grenfell building regs changes and leasehold issues. When you look at granular data there is still a surprising amount growth in Zone 3-4 onwards in London because actual houses in those locations are still sort of achievable for decently paid couples.
Also regionally, a bit glib, but the price increases are happening in Manchester not Bolton or Sheffield not Scunthorpe. If remote working was truly acceptable then those latter locations would be seeing far more inward movement of people but they're not really
Pretty much everything gets more expensive, with the outliers being tech which has gotten much cheaper, mostly because the rate at which it progresses is faster than the rate at which governments can print money. But everything we need to survive, like food, housing, etc, keeps getting more expensive. And the asset class get richer as a result.
463 more comments available on Hacker News