Posted by dmarcos 13 hours ago
https://www.axios.com/2026/05/19/anthropic-openai-karpathy-a..., https://archive.ph/h6T3X
We ban accounts that do this and I don't want to ban you, so please write everything that you post to HN by hand.
Of course, it's impossible to know for sure what was LLM processed or not, but we're getting complaints about some of your posts and, upon inspection, the complaints seem justified.
It's good that there are avenues today for people to make tens or hundreds of $m in salaried positions at companies so that they don't have to do that stuff to get paid their value if they don't genuinely want to.
Which raises the question: what can he do at Anthropic that he couldn't on his own?
And then there's the uncertainty, will the AI "wars" be some winner-takes-all situation? Will the smaller labs eventually be acquired by the bigger ones, will they simply wash away if there's a crash?
I don't know. If you can land some exceptional gig at the big firms, maybe the financials are good enough to not start your own lab. Minimizing risk, and all that.
EDIT: Assuming such a startup would focus on frontier models.
This is my assumption.
> there's the uncertainty, will the AI "wars" be some winner-takes-all situation? Will the smaller labs eventually be acquired by the bigger ones, will they simply wash away if there's a crash?
He's Andrej Karpathy. He could wait to let the winner surface. Obviously better to get in with the winner earlier. But worse to get on the wrong team versus on the right team late.
And 2 years is probably pretty average for the whole tech industry.
maybe for a fungible CRUD engineer. I think Karpathy is in a different league and I'm certainly surprised to hear this fact. I would expect someone like him to sit within a certain lab for a long time
My impression with no inside knowledge, but understanding what Elon companies are like, is that he was assigned essentially an impossible task at Tesla and tried his very best, but it could not be done, and he semi-burned out. It makes sense for him to be getting back on the horse now.
The Elon approach to management as I see it is to assign what normally would be totally unreasonable goals to a small group of extremely bright people, and they work their asses off and somehow find a way. Sometimes this works, and sometimes it doesn't. If it works and the impossible was in fact, just barely possible, you dominate the market, everyone gets rich, and the people see it as the most exciting, intense, and rewarding part of their career. If it doesn't, they get depressed, divorced, and looking for other work. The Elon magic is threading the needle closely enough that a lot of the seemingly impossible things are in fact possible with enough hard work and brainpower, but although Elon is extremely good at this, the nature of the thing is that you can't predict which side you'll wind up on fully accurately.
I expect the people with low market value to be the ones sticking around labs for long periods of time, they don't have the option to move and they aren't getting poached.
Yes, and it is a problem
> maybe for a fungible CRUD engineer
And there's the cause.
We're in a meat grinder, and there is no $100M payout in sight for most of us
I mean, you always have to take the previous employers' statements with a grain of salt, but if they say they really employed for just that project, it's also good info.
I am not saying any of these don't have valid answers. What I am saying is that we would prefer juniors that are commited and do the hard work when the work gets hard. And, at least where I work now, this gets recognized, and they become seniors in time.
Two years is more than long enough to join a startup, build 3 things, and see that your equity is never going to be worth anything, and find a new job. This isn’t anomalous or weird.
And I work in games and 2-3 years at each company is pretty normal, with some exceptions people just finish a project and then move(or are let go, unfortunately). YMMV of course.
Yeah, being laid off every 2-3 years is a lot different from job hopping and shows exactly why the games industry is in its own little pocket of screwed in this market. Especially with games taking 3-5+ years to be made. How do you keep institutional knowledge when you kick it all out and basically start from scratch every cycle.
-sincerely, another game dev
- barely qualified, leaving to avoid getting PIP'ed
- overqualified/under-leveled, and moving is faster than getting promoted
1) advancements in AI are made by large teams of brilliant people (and individuals who take outsized credit)
2) AGI is defintionless buzz word
3) advancements in AI will need significant changes in either how the model works or fundamentally new non existent datasets.
Claude code was one person's idea as a pet project and now it's singlehandedly 5x'd Anthropic's valuation. Sometimes single people matter, that's life.
Anthropic is a large company, with thousands of employees, and seems to be 100% (maybe 200%) LLM and scale pilled. All the advances from one model generation to the next are the result of dozens of experiments first at small scale then at larger scale, all competing for the same "development compute" portion of their overall "development + inference" compute resource.
In this environment, even if there are researchers who have ideas not on the "LLM + scale is all you need" path that Dario seems hell bent on, there seems to be not much chance that these ideas can compete for resources and compute with the mainstream experiments that the company believes their future depends on.
Maybe an individual developer like Sutskever, engaged purely in research rather than manning a barely turnable oil tanker, can make a difference, but at a company like Anthropic it seems way less likely. Cherny's baby is 100% aligned with Anthropic's mission of selling LLM tokens. Someone else fighting the mission, trying to pivot Anthropic in a new better direction is not likely to have such luck.
I strong suggest you better learn your recent history —- and how generally these things work
im also going to guess that whatever research he does would be free roam research that primarily serves to market the fact that claude was able to help perform the research.
the visible stuff he's been working on has been mostly agent soft skills. off the top of my head is autoresearch and his the wiki knowledge stuff. nothing particularly groundbreaking, but has helped devs expand their understanding of the utility that these models can provide.
not a diss to andrej i know he's reading this now
I think Andrej has the experience (and now ressources) to productionize this research into something very interesting.
p.s. called it
> Karpathy will help launch a new team focused on using Claude itself to accelerate pretraining research — an increasingly important frontier as AI companies race to automate parts of AI development. (https://www.axios.com/2026/05/19/anthropic-openai-karpathy-a...)
They just became "famous" because Karpathy is effectively an AI celebrity, so he could throw shit at a wall and post it on X and it would get 10k Github stars.
But seriously, people have been using the models to tweak hyperparemeters, or using LLMs to help create a second brain using markdown or json files or 100X other combinations of files, for a long time already.
That implies Karpathy is either dumb or desperate and he is neither of those by a long shot.
Generally, when a "good" developer has a huge public presence and reputation, that's quite valuable to a company when they're competing in a tough space. Many a time, more so than the (very high) technical skill of the developer in question.
I've seen large funded companies gather good popular developers like pokemon cards and just have them go around give talks and write blog posts. It creates an aura around them which makes things like hiring, fund raising etc. much easier.
So, it's not really a statement about Karpathy himself. It's more about the company hiring him.
There’s a lot of value for the business world in learning AI from someone who has been at the top of their game but now is doing a general service by being a great educator and translator between the fields.
His recent Wiki approach may be simple to devs but is certainly an aha moment for the rest of the peanut gallery paying attention!
This kind of thing happens to big names in software all the time. Carmack going to Facebook is a prime example - he joined with the idea of using all those resources to build world-changing tech, and instead he ended up headlining conferences, and fighting a losing battle against the corporate types who were put in charge of Oculus.
Andrej seems like a great guy, but him joining Anthropic feels a bit like a transactional relationship (rich old guy marries hot young chick). Anthropic get a "glorified marketer", and he gets a front row seat at SOTA LLM dev 2026. I don't think they hired him expecting he's going to change the direction/pace of their research.
Scandalous!
A regular marriage is transactional to some extent too right, but not quite the same as Anna Nicole Smith marrying a 90yr old.
As an aside, an Indian guy I used to work with once explained to me how traditional Indian arranged marriages, like his own, work, and they are HIGHLY transactional. It's not just a matter of same caste, same social status etc, but an explicit trade off. In my co-worker's case he cheerfully told me how his wife was very dark skinned, therefore considered not that attractive/desirable (to other Indians!), but her family had money and social status so it was considered a fair trade for a nice looking boy like himself!
No it implies that he is more valuable for being famous than the hands-on work he can produce. This is the IC endgame
Last thing I saw Karpathy talk about was this, which I find hard to believe that it came from a smart person.
And, my objection was that he clearly had no understanding of the supply-chain risk he was worsening by advocating widespread use of Obsidian for agentic engineering tasks.
Since his announcement, Obsidian has taken proactive steps to mitigate the risks, or at least study threat model. Hopefully, they will implement proper RBAC or something before someone else with his visibility announces an even more irresponsible half-baked idea.
"Improve yourself, no mistakes" in a loop. Woooah sooo revolutionary...
But he has always been known for his communication rather than his research. He got famous by putting out a (very well made) course on machine learning that was available to the public. Since graduating he hasn't exactly delivered on revolutionary new stuff at the businesses that employed him but he has continued to be extremely good at communicating thoughts about the current and future state of AI. Businesses want that and he knows that he can deliver that.
There are things that you can only explore and learn in those places, for obvious reasons.
I don't know his personal life goals but he's a great communicator and educator, if this decision makes him more up to date, and allows him to create even more relevant content then is something everyone will benefit. I understand the risks of being bias toward one company and not the other, but if you look at the content he created so far, he always talk principle first and specific tool later.
I think people here should give him the benefit of the doubt.
his value to Anthropic is his influence..he has over 2 million followers, and value is that he is the Top influencer for AI right now, like it or not. just like Selena Gomez might be for top for women age 21-29...
Every AI nerd I know reposts his (very thoughtful posts and projects mind you) like religon
meanwhile in the real world:
claude --permission-mode=auto --model=opus -p '/onboard --user=karpathy'All we hear is Altman, Musk, ...
Reason? What is the value of that other than entertainment? And it's not in the interest of companies to make celebrities that then are poach targets (if they can avoid they would yes there are exceptions as noted elsewhere in this thread).
And if you did 'hear' (via articles) to what extent what was said even be correct vs. a writer just fluffing things up to the max.
Tech is not sports where you can actually see the superlatives and know that the person who praise is being lavished on actually won or threw or caught and so on. (Or even music where you can hear it and see the stadium that is packed with fans..)
I suppose that with modern ML they can just toss it in the blender and reap the benefits ...
Apollo Go 100k driverless rides a day.
Tesla 0-5? driverless rides a day.
Sorry I'm out of the loop... What inflection point are you referring to?
Around the time Karpathy left, Ilya Sutskever, another OpenAI founder, started playing with Google's new "Transformer" architecture, which was the beginning of the "GPT" series, GPT-1, GPT-2 and eventually ChatGPT (GPT 3.5 + RLHF). In retrospect OpenAI's early Transformer experiments and GPT-1 was the inflection point that moved OpenAI from a company that wanted to build AI, as soon as anyone else did, to one that was actually doing so, although I think it would be revisionist for anyone to claim they knew what they were doing at the time. The early GPT-1 and GPT-2 papers read more like "wow, this is a bit unexpected, look at all of the things it can do!".
So pretty sure the original poster is talking about 2017.
not everyone does things to be rich.
And tesla is not a good place for science development. Tesla is structured from narcissistic mindset: results driven, cynical, and position-based. This doesn’t bode well for long term sciences.
I dont see how he could be helping anthropic
OpenAI’s hiring recently has been much stronger, whether through luck or structure. The “no-name” guys have actual taste. I love that. I don’t care that they’re no-names.
I don’t know Karpathy personally, I won’t speak bad about a man I don’t know. I hope he makes CC better. I just read this as hype. My point is that there’s nothing he has that an empowered no-name product manager doesn’t. It’s like Alex Wang at Meta. That acq didn’t redeem Meta. They actually lost LeCun. Where’s Llama today?
Regardless of what Anthropic’s share price is, OpenAI has been fucking killing it recently. I don’t take particular pleasure in saying that, i’ve been a google and gemini guy for years
My lens is meritocratic. My experience is as an extremely heavy user of both company’s full suite of products in the range of 5 digits per month. My interest is better products not hype.
Can you cite specifics? "I won't speak bad about someone, but also won't speak good about others" resulted in a comment that seems to contribute nothing
I’m hoping Karpathy will make Claude Code better, in the meantime I’m super happy seeing a small product manager like Tibo fucking crushing it on Codex
My point is that product velocity is visible in shipped workflow improvements, not prestige hires
Prestige is fickle, look at academia today
Joking aside, there are small communities pushing codex and AI to the bleeding edge of what's possible.
Here I'll give you an example. The last few updates from Boris at CC have been tweaks to the system prompt to make it use less compute, effectively making the system dumber, making it tell you to go to bed. I mean come on! Tibo has been impressing me, bc they're building the things these small communities are building.
One of the things these bleeding edge guys and girls have been working on is a /goal feature, essentially ralph loops. Codex released it as a feature the other day. I can't help but be impressed. As an ex-pm, this is product management.
Then you take a look at what the Chinese are doing on their own forums, and it just makes what Google and Anthropic are doing look outdated. OpenAI feels competitive, which I like. What's coming will not be kind to us, we adapt or we die.
I am sure there is an element of reality in it's capabilities, but there's also a significant amount of "We don't have the compute to handle this at scale", and "look look, we have the best model. It's so good that you can't even compare it to other models. That is how good we are."
The Claude maximalists that can never see any wrong in anything and the users that care about actual capability
These guys are going to be in for a rude awakening when the Chinese are steamrolling us with data centers you can see from space and better models, Amodei will tell you that himself
Adapt or die
What codex is a few steps away from doing is changing fundamentally a lot of workflows.
Remote codex with their computer use is basically you at your computer doing things, 24/7.
Then they added gpt images 2.0
what codex can do, in a few more product iterations, is show you visually side by side “would you prefer this (A) or that (B)” in a series of questions. This is what some open source researchers have been up to. That’s no longer guessing.
I’m not trying to hype a company i have no stake in, but they’ve been killing it.
It’s extremely compute intensive, but also very satisfying.
Example 1, just from top of my mind, Composer 2.5 released today. Go look at their benchmark.
Composer 2.5 and Opus 4.7 ranked around the same, meanwhile gpt-5.5 was miles ahead.
You wouldn’t have caught me dead using a gpt model 2 years ago
They are all going to get their lunch eaten by the Chinese.
In the USA with access to most of the world's capital, they've succumbed to the temptation of "bigger, faster, harder"
Whilst the Chinese, with enough capital only, have had to think.
The Chinese models are already miles ahead on cost/inference basis and will probably pass all the USAnian companies in five years
The age of UASnian engineering dominance are coming to an end.
Let's all hope she goes quietly - not at the moment
He had both the technical and executive authority to determine if the product was fit for customer usage. He had direct executive responsibility for the product on the road between 2017-2022.
If he, the lead architect and executive responsible felt the product was dangerous and then he was overridden, he can not get away with claiming he was “just following orders”, he had a moral duty to not sign-off or quit otherwise he is clearly complicit in deploying a dangerous product for his own self-enrichment.
When people talk about engineering ethics, this is literally a completely uncontroversial textbook example. The only way you accept this is if you do not want ethics in engineering.
Furthermore, he was extremely hireable with numerous job opportunitys available to him. He would not be destitute or even particularly worse off if he did quit for ethical reasons. Any self-preservation defense is also invalid.
[1] https://techcrunch.com/2017/06/20/tesla-hires-deep-learning-...
He heard Elon say “I drive with eyes, so cars just need eyes” & shipped?
:( happy to have my impressions corrected (but I was kind of pretending it’s a 2026 scenario where you could slap Lidar, ship a Waymo, if you were just willing to spend the friggin MONEY - 2017 was too early for most any “self” driving IIRC)
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*edit - in a scenario where his refusal to skip Lidar catalyzed change
"2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors." "4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts."
https://www.abet.org/accreditation/accreditation-criteria/cr...
Unfortunately, rather important courses like engineering ethics have become lumped in with mandatory DEI objectives and similar 'grievance studies' requirements, classes which many suffer through quietly, regurgitating the Correct responses while they count the minutes until they can get back to more substantive classwork. Some undergraduates may unfortunately gloss over ethics just as they gloss over lectures on privilege.
When rumors started that GPT-4 design would be kept secret, he likely wanted to know what architecture it would be. Perhaps he left Tesla, waited out the non-compete clause, and joined OpenAI to learn its details.
When Mythos dropped, there were hints that it had a new architecture. He might similarly want to know how it works.
Either way, there is enough cross-lab hiring that those secrets eventually get known, but only by the labs.
It actually feels like a signal that it is in a tapering phase.
As in, if it was in a growth phase a freeform, solo - collab with who you want, would be more beneficial. But in a tapering phase you'd want structure and to be in the private formal meetings.
just an idea
Growth is when you want to have institutional support, to be at the tip, backed by infinite money and best compute infra, and benefit disproportionally from compounding. Conversely tapering is when you're best flying under the radar, and there's plenty of value both in ideas and in hardware, as the leading players shed excess they can't support anymore, ...
But to your point, then the growth is not in the ideas that can be generated with AI, and more in the structure. Which feels like a different stage. Maybe "growth", wasn't a good word.
Stuff is still happening and you need to be part of a big lab to see it. NanoGPT is fun but at some point you need that datacenter.
I also feel like there are many ways he can access compute for use of his own ideas.
So, does Anthropic pivot to military tech or pretend to do so before the IPO?
Or is this simply a deal where he uses his formidable influencer skills for Anthropic and gets to cash in on the IPO?
OpenAI looks a lot more like early Yahoo -- earlier, quite a spectacle at first, definitely a game-changer and disruptor, but overspent, less focused, and subject to slow collapse under its own fragmentation and lack of overwhelming clarity of mission and purpose.
All that said, history rhymes but does not repeat, and trying to map present-day companies onto previous generations is an exercise in futility. The future is fundamentally unique.
Of course, there could be some future lab or startup which completely revolutionizes the field by going for some approach that doesn't require a boatload of money to train a model, but for now, we're stuck with the LLMs and the costs they come with..
Looking familiar: VTI or VOO, VTSAX or VFIAX