https://chatgpt.com/share/69aaab4b-888c-8003-9a02-d1df80f9c7...
Claude's Cycles [pdf] - https://news.ycombinator.com/item?id=47230710 - March 2026 (362 comments)
Math seems difficult to us because it's like using a hammer (the brain) to twist in a screw (math).
LLMs are discovering a lot of new math because they are great at low depth high breadth situations.
I predict that in the future people will ditch LLMs in favor of AlphaGo style RL done on Lean syntax trees. These should be able to think on much larger timescales.
Any professional mathematician will tell you that their arsenal is ~ 10 tricks. If we can codify those tricks as latent vectors it's GG
Ergo these are latent vectors in our brain. We use analogies like geometry in order to use Algebraic Geometry to solve problems in Number Theory.
An AI trained on Lean Syntax trees might develop it's own weird versions of intuition that might actually properly contain ours.
If this sounds far fetched, look at Chess. I wonder if anyone has dug into StockFish using mechanistic interpretability
I love this and have a corollary saying: the last job to be automated will be QA.
This wave of technology has triggered more discussion about the types of knowledge work that exist than any other, and I think we will be sharper for it.
In any other context than when your paycheck depends on it, you would probably not be following orders from a random manager. If your paycheck depended on following the instructions of an AI robot, the world might start to look pretty scary real soon.
- Coherent customer interaction
- Common sense judgements
- Scheduling
- Quality control
All which are baked into humans but not so much into LLMs
Even if it were legal to have an LLM as a GM, I think it would fair poorly
Of course, because it takes multi-modal intelligence to manage a McDonalds. I.e. it requires human intelligence.
> I predict that in the future people will ditch LLMs in favor of AlphaGo style RL
Same for coding as well. LLM's might be the interface we use with other forms of AI though.
Programming is more multimodal than math.
Something like performance engineering might be free lunch though
I feel like something people miss when they talk about intelligence is that humans have incredible breadth. This is really what differentiates us from artificial forms of intelligence as well as other animals. Plus we have agency, the ability to learn, the ability to critically think, from first principles, etc.
Also animals thrive in underspecified environments, while AIs like very specific environments. Math is the most specified field there is lol
Edit: This is going to have huge ramifications for the tech security industry as these systems will be able to break security systems as easily it solved the proof. The sooner the good guys, if there are any left, understand this the better it will be for everybody.
> Super interesting but what does this mean for us mere mortals?
I would go for a 2 or 3 hour walk with my phone using the remote control feature looking every 5 - 10 minutes to make sure it doesn't need human help. I went to the coffeeshop and drank very good coffee listening to music. Then at night I sat and had a beer thinking about T.S. Eliot's 'The Wasteland', the effect of industrialization in England at that time and his views of how ennui affected the aristocracy.
Well, for those among us that are not aristocracy already, except for the vanishingly small number of people required to oversee such processes, we’re probably the closest we’re going to get to it. If they don’t need people to do the tech labor, we’ve got way more people than we need, so that’s a huge oversupply of tech skills, which means tech skills are rapidly becoming worthless. Glad to see how fast we’re moving in our very own race to the bottom!
Sounds like a great starting plot for an interesting story.
However…
I have to acknowledge my craft of SE has been putting people out of work for decades. I myself came up with business process improvement that directly let the company release about 20 people. I did this twice.
So… fair play.
Yeah, but why does it need to take the fun jobs first, like painting, writing poems, coding, making music, ...
I want the AI to cook, do the dishes, take out the trash, etc.
Like beg on the corners and starve in the street? Trying to figure out how the basics of capitalism where labor is exchanged for money is not going to work well when the only jobs left are side gigs. Something will have to change and a lot of People will fight said change.
The work will become even more fulfilling however.
1) It’s not my job to fix all the problems of Capitalism. It’s painful to try to fight the system without collective action. My family and I have to eat too.
2) We have had a solution all along for the particular problem of AI putting devs out of work. It’s called professional licensure, and you can see it in action in engineering and medical fields. Professional Software Engineers would assume a certain amount of liability and responsibility for the software they develop. That’s regardless of whether they develop it with LLM tools or something else.
For example, you let your tools write slop that you ship without even looking? And it goes on to wreak havoc? That’s professional malpractice. Bad engineer.
If we do this then Software Engineers become the responsible humans in the loop of so-called “AI” systems.
Say you found a job shooting people in the head for money. Like if you work for ICE or something…
You need to feed your family. Is this job ok? You may decide yes. I decided no. I will find another way to feed my family.
You don’t get to escape consequences because you are a small cog in a large system.
In the bigger picture, automation should free people from labor. But that requires some very greedy people to relax their grip ever so slightly. I imagine they see automation as a way to reduce reliance on labor, and if they don’t need labor, they don’t need people. So let them starve and stop having kids.
You probably choose not to steal, rob, impersonate someone else, or generally make money illegally.
It can be traitors all the way down.
What can the good guys do? Fire up Claude to improve their systems? Unless you have it working fully autonomously to counter-act abuse, I don't see how you can beat the "bad guys". There may be some industries where this is a solved problem (e.g. you can do all the validation server-sided, religiously follow best practices to prevent and mitigate abuse), but a lot of stuff like multiplayer video games will be doomed unless they move to a "you must use a locked down system we control" model. I honestly don't consider it liberating as someone that has various hobby projects, that now in addition to plain old DDoS I'll also have people spin up layer 7 attacks with just their credit card. It almost makes me want to give up instead of pushing forward in a world where the worst of the worst has access to the best of the best.
That is a nightmarish scenario tbh
>After a week, scores of iterations, it can reverse engineer any website
Cool, let’s see the proof.
It is proof-of-concept. Seriously burns some tokens (~80k - ~200k) but doesn't require AI after to scrape and automate a website so if all the people at Browser Use, Browser Base, and every one pounding every website used it, I think, the net benefit would be in the billions. I would recommend using it in isolation. Nonetheless, it works very very well on my machine.
> This type of slop comment is somehow worse than spam.
Please don't be mean.
It’s insane how insufferable this place is now.
2-3 hours "walking" while having to check in every 5-10 minutes?
If I have to check in every 5-10 minutes, I won't taste coffee or hear that there's good music playing.
I had a bad feeling we were basically already there.
However I do not trust AI anywhere near as much as I trust the humans. The AI is super capable but also occasionally a psychopath toddler. I sat in amused astonishment when faced with job 2 not running because job 1 was failing Claude went in to the database, changed the failure record to success, triggered job 2 which produced harmful garbage, and then claimed victory. Only the most troubled person would even think of doing that, but Claude thought it was the best solution.
we've had AlphaFold for a while. it's not a novel that we have ML solutions that can find, erm, novel solutions.
however, by and large, most LLMs as typically used by most individuals aren't solving novel problems. and in those scenarios, we often end up with regurgitated/most common/lowest common denominator outputs... it's a probability distribution thing.
Also that it is now good enough to make researchers faster.
The AI CEO's are pointing out that when chess was "solved", in that Kasparov was famously beaten by deep blue, there was a window of time after that event where grandmasters + computers were the strongest players. The knowledge/experience of a grandmaster paired with the search/scoring of the engines was an unbeatable pair.
However, that was just a window in time. Eventually engines alone were capable of beating grandmaster + engine pairs. Think about that carefully. It implies something. The human involvement eventually became an impediment.
Whether you believe this will transfer to other domains is up to you to decide.