There's so much compression / time-dilation in the industry: large projects are pushed out and released in weeks; careers are made in months.
Worried about how sustainable this is for its people, given the risk of burnout.
But when I sink my teeth into something interesting and important (to me) for a few weeks’ or months’ nonstop sprint, I’d say no to anyone trying to rein me in, too!
Speaking only for myself, I can recognize those kinds of projects as they first start to make my mind twitch. I know ahead of time that I’ll have no gas left the tank by the end, and I plan accordingly.
Luckily I’ve found a community who relate to the world and each other that way too. Often those projects aren’t materially rewarding, but the few that are (combined with very modest material needs) sustain the others.
Being passionate about something and giving yourself to a project can be amazing, but you need to have the bandwidth to do it without the people you care about suffering because of that choice.
As for caring for a newborn, that is the least impactful moment you have with your kids.
Seems like he made a reasonable trade-off and will be there for all their formative years.
This is what ex-employees said in Empire of AI, and it's the reason Amodei and Kaplan left OpenAI to start Anthropic.
Obvious priorities there.
This guy is young. He can experience all that again, if it is that much of a failure, and he really wants to.
Sure, there are ethical issues here, but really, they can be offset by restitution, lets be honest.
Something about youth being wasted on young.
people conflate the terms "burnout" and "overwork" because they seem semantically similar, but they are very different.
you can fix overwork with a vacation. burnout is a deeper existential wound.
my worst bout of burnout actually came in a cushy job where i was consistently underworked but felt no autonomy or sense of purpose for why we were doing the things we were doing.
You can love what you do but if you do more of it than is sustainable because of external pressures then you will burn out. Enjoying your work is not a vaccine against burnout. I'd actually argue that people who love what they do are more likely to have trouble finding that balance. The person who hates what they do usually can't be motivated to do more than the minimum required of them.
Well given the amount of money OpenAI pays their engineers, this is what it comes with. It tells you that this is not a daycare or for coasters or for the faint of heart, especially at a startup at the epicenter of AI competition.
There is now a massive queue of lots of desperate 'software engineers' ready to kill for a job at OpenAI and will not tolerate the word "burnout" and might even work 24 hours to keep the job away from others.
For those who love what they do, the word "burnout" doesn't exist for them.
I don't think this makes OpenAI special. It's just a good reminder that the overwhelming majority of "why I left" posts are basically trying to justify why a person wasn't a good fit for an organization by blaming it squarely on the organization.
Look at it this way: the flip side of "incredibly bottoms-up" from this article is that there are people who feel rudderless because there is no roadmap or a thing carved out for them to own. Similarly, the flip side of "strong bias to action" and "changes direction on a dime" is that everything is chaotic and there's no consistent vision from the executives.
This cracked me up a bit, though: "As often as OpenAI is maligned in the press, everyone I met there is actually trying to do the right thing" - yes! That's true at almost every company that ends up making morally questionable decisions! There's no Bond villain at the helm. It's good people rationalizing things. It goes like this: we're the good guys. If we were evil, we could be doing things so much worse than X! Sure, some might object to X, but they miss the big picture: X is going to indirectly benefit the society because we're going to put the resulting money and power to good use. Without us, you could have the bad guys doing X instead!
Given how vengeful Altman can reportedly be, this goes double for OpenAI. This guy even says they scour social media!
Whether subconsciously or not, one purpose of this post is probably to help this guy’s own personal network along; to try and put his weirdly short 14-month stint in the best possible light. I think it all makes him look like a mark, which is desirable for employers, so I guess it is working.
Every, and I mean every, technology company scours social media. Amazon has a team that monitors social media posts to make sure employees, their spouses, their friends don’t leak info, for example.
I worked for a few years at a company that made software for casinos, and this was absolutely not the case there. Casinos absolutely have fully shameless villains at the helm.
Do these people have even minimal self-awareness?
Much more common for OpenAI, because you lose all your vested equity if you talk negatively about OpenAI after leaving.
There is a reason why there was a cult-like behaviour on X amongst the employees in supporting to bringing back Sam as CEO when he was kicked out by the OpenAI board of directors at the time.
"OpenAI is nothing without it's people"
All of "AGI" (which actually was the lamborghinis, penthouses, villas and mansions for the employees) was all on the line and on hold if that equity went to 0 or would be denied selling their equity if they openly criticized OpenAI after they left.
Considering the high stakes, money, and undoubtedly the ego involved, the writer might have acquired a few bruises along the way, or might have lost out on some political in fights (remember how they mentioned they built multiple Codex prototypes, it must've sucked to see some other people's version chosen instead of your own).
Another possible explanation is that the writer's just had enough - enough money to last a lifetime, just started a family, made his mark on the world, and was no longer compelled (or have been able to) keep up with methed-up fresh college grads.
Well it depends on people’s mindset. It’s like doing a hackathon and not winning. Most people still leave inspired by what they have seen other people building, and can’t wait to do it again.
…but of course not everybody likes to go to hackathons
We're talking about Sam Altman here, right, the dude behind Worldcoin? A literal bond-villainesque biological data harvesting scheme?
I'd be more worried about the guy who tweeted “If this works, I’m treating myself to a volcano lair. It’s time.” and more recently wore a custom T-shirt that implies he's like Vito Corleone.
> I returned early from my paternity leave to help participate in the Codex launch.
10 years from now, the significance of having participated in that launch will be ridiculously small (unless you tell yourself that it was a pivotal moment of your life, even if it objectively wasn't) versus those first weeks with your newborn will never come back. Kudos to your partner though.
The opposite is true: Most ex-employee stories are overly positive and avoid anything negative. They’re just not shared widely because they’re not interesting most of the time.
I was at a company that turned into the most toxic place I had ever worked due to a CEO who decided to randomly get involved with projects, yell at people, and even fire some people on the spot.
Yet a lot of people wrote glowing stories about their time at the company on blogs or LinkedIn because it was beneficial for their future job search.
> It's just a good reminder that the overwhelming majority of "why I left" posts are basically trying to justify why a person wasn't a good fit for an organization by blaming it squarely on the organization.
For the posts that make HN I rarely see it that way. The recent trend is for passionate employees who really wanted to make a company work to lament how sad it was that the company or department was failing.
Yeah I had to re-read the sentence.
The positive "Farewell" post is indeed the norm. Especially so from well known, top level people in a company.
Sure, but this bit really makes me wonder if I'd like to see what the writer is prepared to do to other people to get to his payday:
"Nabeel Quereshi has an amazing post called Reflections on Palantir, where he ruminates on what made Palantir special. I wanted to do the same for OpenAI"
Usually the level 1 people are just motivated by power and money to an unhealthy degree. The worst are true believers in something. Even something seemingly mild.
I don't think people who work on products that spy on people, create addiction or worse are as naïve as you portrayed them.
FWIW, I have positive experiences about many of my former employers. Not all of them, but many of them.
The operative word is “trying”. You can “try” to do the right thing but find yourself restricted by various constraints. If an employee actually did the right thing (e.g. publish the weights of all their models, or shed light on how they were trained and on what), they get fired. If the CEO or similarly high-ranking exec actually did the right thing, the company would lose out on profits. So, rationalization is all they can do. “I'm trying to do the right thing, but.” “People don't see the big picture because they're not CEOs and don't understand the constraints.”
This is a great insight. But if we think a bit deeper about why that happens, I land on because there is nobody forcing anyone to do the right thing. Our governments and laws are geared more towards preventing people from doing the wrong thing, which of course can only be identified once someone has done the wrong thing and we can see the consequences and prove that it was indeed the wrong thing. Sometimes we fail to even do that.
I liked my jobs and bosses!
> Sure, some might object to X, but they miss the big picture: X is going to indirectly benefit the society because we're going to put the resulting money and power to good use. Without us, you could have the bad guys doing X instead!
Those are the easy cases, and correspondingly, you don't see much of those - or at least few are paying attention to companies talking like that. This is distinct from saying "X is going to directly benefit the society, and we're merely charging for it as fair compensation of our efforts, much like a baker charges you for the bread" or variants of it.
This is much closer to what most tech companies try to argue, and the distinction seems to escape a lot of otherwise seemingly sharp people. In threads like this, I surprisingly often end up defending tech companies against such strawmen - because come on, if we want positive change, then making up a simpler but baseless problem, calling it out, and declaring victory, isn't helping to improve anything (but it sure does drive engagement on-line, making advertisers happy; a big part of why press does this too on a routine basis).
And yes, this applies to this specific case of OpenAI as well. They're not claiming "LLMs are going to indirectly benefit the society because we're going to get rich off them, and then use that money to fund lots of nice things". They're just saying, "here, look at ChatGPT, we believe you'll find it useful, and we want to keep doing R&D in this direction, because we think it'll directly benefit society". They may be wrong about it, or they may even knowingly lie about those benefits - but this is not trickle-down economics v2.0, SaaS edition.
I mean, that's a leap. There could be a bond villain that sets up incentives such that people who rationalize the way they want is who gets promoted / their voice amplified. Just because individual workers generally seem like they're trying to do the best thing doesn't mean the organization is set up specifically and intentionally to make certain kinds of "shady" decisions.
> It's just a good reminder that the overwhelming majority of "why I left" posts are basically trying to justify why a person wasn't a good fit for an organization by blaming it squarely on the organization.
https://en.wikipedia.org/wiki/Pascal%27s_wager#Analysis_with...
Which god should I believe in, though? There are so many.
And what if I pick the wrong god?
Not sure how you can say this so confidently. Many would argue they're already pretty close, at least on a short time horizon.
There is a decade + worth of implementation details and new techniques to invent before we have something functionally equivalent to Jarvis.
There was nothing hypothesized about next-token prediction and emergent properties (they didn't know scale would allow it to generalize for sure). What if it's true is part of LLMs story, there is a mystical element here.
Nobody ever hypothesized it before it happened? Hard to believe.
The comparison here should clearly be with the other frontier model providers: Anthropic, Google, and potentially Deepseek and xAI.
Comparing them gives the exact opposite conclusion - OpenAI is the only model provider that gates API access to their frontier models behind draconic identity verification (also, Worldcoin anyone?). Anthropic and Google do not do this.
OpenAI hides their model's CoT (inference-time compute, thinking). Anthropic to this day shows their CoT on all of their models.
Making it pretty obvious this is just someone patting themselves on the back and doing some marketing.
Probably because Deepseek trained a student model off their frontier model.
CloseAI.
Some points that stood out to me:
- Progress is iterative and driven by a seemingly bottom up, meritocratic approach. Not a top down master plan. Essentially, good ideas can come from anywhere and leaders are promoted based on execution and quality of ideas, not political skill.
- People seem empowered to build things without asking permission there, which seems like it leads to multiple parallel projects with the promising ones gaining resources.
- People there have good intentions. Despite public criticism, they are genuinely trying to do the right thing and navigate the immense responsibility they hold.
- Product is deeply influenced by public sentiment, or more bluntly, the company "runs on twitter vibes."
- The sheer cost of GPUs changes everything. It is the single factor shaping financial and engineering priorities. The expense for computing power is so immense that it makes almost every other infrastructure cost a "rounding error."
- I liked the take of the path to AGI being framed as a three horse race between OpenAI (consumer product DNA), Anthropic (business/enterprise DNA), and Google (infrastructure/data DNA), with each organisation's unique culture shaping its approach to AGI.
Wouldn't want to forget Meta which also has consumer product DNA. They literally championed the act of making the consumer the product.
[0] https://techcrunch.com/2025/07/14/mark-zuckerberg-says-meta-...
Twitter is a one-way communication tool. I doubt they're using it to create a feedback loop with users, maybe just to analyse their sentiment after a release?
The entire article reads more like a puff piece than an honest reflection. Those of us who live outside the US are more sceptical, especially after everything revealed about OpenAI in the book Empire of AI.
This sets off my red flags: companies that say they are meritocratic, flat etc., often have invisible structures that favor the majority. Valve Corp is a famous example for that where this leads to many problems, see https://www.pcgamer.com/valves-unusual-corporate-structure-c...
>It sounds like a wonderful place to work, free from hierarchy and bureaucracy. However, according to a new video by People Make Games (a channel dedicated to investigative game journalism created by Chris Bratt and Anni Sayers), Valve employees, both former and current, say it's resulted in a workplace two of them compared to The Lord of The Flies.
Note he was specifically on the team that was launching OpenAI's version of a coding agent, so I imagine the numbers before that product existed could be very different to the numbers after.
Lots of good info in the post, surprised he was able to share so much publicly. I would have kept most of the business process info secret.
Edit: NVM. That 78k pull requests is for all users of Codex, not all engineers of Codex.
I don't know what's the rationale for not hiring tech writers other than nobody suggesting it yet, which is sad. Great dev tools require great docs, and great docs require teams that own them and grow them as a product.
People look at it as a cost a and nothing else.
I appreciate where the author is coming from, but I would have just left this part out. If there is anything I've learned during my time in tech (ESPECIALLY in the Bay Area) it's that the people you didn't meet are absolutely angling to do the wrong thing(TM).
I also don't trust that people within the system can assess if what they're doing is good or not. I've talked with higher ups in fashion companies who genuinely believe their company is actually doing so much great work for the environment when they basically invented fast-fashion. I've felt it first hand personally how my mind slowly warped itself into believing that ad-tech isn't so bad for the world when I worked for an ad-tech company, and only after leaving did I realize how wrong I was.
Edit: And that's to say nothing of the very generous pay...
I would argue that there are very few benefits of AI, if any at all. What it actually does is create a prisoner's dilemma situation where some use it to become more efficient only because it makes them faster and then others do the same to keep up. But I think everyone would be FAR better off without AI.
What keeping AI free for everyone is akin to is keeping an addictive drug free for everyone so that it can be sold in larger quantities later.
One can argue that some technology is beneficial. A mosquito net made of plastic immediately improves one's comfort if out in the woods. But AI doesn't really offer any immediate TRUE improvement of life, only a bit more convenience in a world already saturated in it. It's past the point of diminishing returns for true life improvement and I think everyone deep down inside knows that, but is seduced by the nearly-magical quality of it because we are instinctually driven to seek out advantags and new information.
OK, if you're going to say things like this I'm going to insist you clarify which subset of "AI" you mean.
Presumably you're OK with the last few decades of machine learning algorithms for things like spam detection, search relevance etc.
I'll assume your problem is with the last few years of "generative AI" - a loose term for models that output text and images instead of purely being used for classification.
Are predictive text keyboards on a phone OK (tiny LLMs)? How about translation engines like Google Translate?
Vision LLMs to help with wildlife camera trap analysis? How about to help with visual impairments navigate the world?
I suspect your problem isn't with "AI", it's with the way specific AI systems are being built and applied. I think we can have much more constructive conversations if we move beyond blanket labeling "AI" as the problem.
Personally, my life has significantly improved in meaningful ways with AI. Apart from the obvious work benefits (I'm shipping code ~10x faster than pre-AI), LLMs act as my personal nutritionist, trainer, therapist, research assistant, executive assistant (triaging email, doing SEO-related work, researching purchases, etc.), and a much better/faster way to search for and synthesize information than my old method of using Google.
The benefits I've gotten are much more than conveniences and the only argument I can find that anyone else is worse off because of these benefits is that I don't hire junior developers anymore (at max I was working with 3 for a contracting job). At the same time, though, all of them are also using LLMs in similar ways for similar benefits (and working on their own projects) so I'd argue they're net much better off.
you could just as well argue the internet, phones, tv, cars, all adhere to the exact same prisoner's dilemma situation you talk about. you could just as well use AI to rubber duck or ease your mental load than treat it like some rat-race to efficiency.
its impossible to get benefit from the woods if youve brought a bug net, and you should stay out rather than ruining the woods for everyone
That’s ok.
Just don’t complain about the cost of daycare, private school tuition, or your parents senior home/medical bills.
How does any of this relates to the amount of hours one works?
An actual offering made to the public that can be paid for.
I really can't see a person with at least minimal self-awareness talking their own work up this much. Give me a break dude. Plus, you haven't built AGI yet.
Can't believe there's so little critique of this post here. It's incredibly self-serving.
Considering all the people who led the different safety teams have left or been fired, Superalignment has been a total bust and the various accounts from other employees about the lack of support for safety work I find this statement incredibly out of touch and borderline intentionally misleading.
https://github.com/sponsors/tiangolo#sponsors
https://github.com/fastapi/fastapi?tab=readme-ov-file#sponso...
Why go through all that? Instead what would have been a much better scenario is openai carefully assessing different approaches to agentic coding and releasing a more fully baked product with solid differentiation. Even Amazon just did that with Kiro
Maybe you’re thinking of the confusingly named Codex CLI?
One thing I was interested to read but didn't find in your post is: does everyone believe in the vision that the leadership has shared publicly, e.g. [1]? Is there some skepticism that the current path leads to AGI, or has everyone drunk the Kool-Aid? If there is some dissent, how is it handled internally?
As impressive as LLMs can be at one-shotting certain kinds of tasks, working in a sprawling production codebase like the one described with tight performance constraints, subtle interdependencies, cross-cutting architectural concerns, etc. still requires a human driving most of the time. LLMs help a lot for this kind of work, but the human is either carefully assimilating their output or carefully choosing spots where (with detailed prompts) they can generate usable code directly.
Again, just a guess, but this my impression of how experienced engineers (including myself) are using LLMs in big/nontrivial codebases, and I’ve seen no indication that engineering processes at the labs are much different from the wider industry.
it was however interesting to know that it isn't just Meta poaching OpenAI, but the reverse also happened.
OpenAI is currently selected for the brightest and young excited minds, (and a lot of money).. bright, young (as in full of energy) and excited people will work well anywhere- esp if given a fair amount of autonomy.
Young people talking about how hard they worked is not a sign of a great corp culture, just a sign that they are in the super excited stage of their careers
In the long run who knows, I tend to view these companies as groups of like minded people and groups of people change and the dynamic changees overnight -so if they can sustain that culture sure, but who knows..
The cadence we're talking about isn't sustainable --- has never been sustained anywhere --- but if insane sprints like this (1) produce intrinsically rewarding outcomes and (2) punctuate otherwise-sane work conditions, they can work out fine for the people involved.
It's completely legit to say you'd never take a job where this could be an expectation.
This is a very interesting nugget, and if accurate this could become their Achilles heel.
Most top-of-their-field researchers are on top of their field because they really love it, and are willing to sink insane amount of hours into doing things they love.
Not that unusual nowadays. I'd wager every tech company founded in the last ~10 years works this way. And many of the older ones have moved off email as well.
>...
>OpenAI is also a more serious place than you might expect, in part because the stakes feel really high. On the one hand, there's the goal of building AGI–which means there is a lot to get right.
I'm kind of surprised people are still drinking this AGI Koolaid
CosmosDB is trustworthy? Everyone I know that used CosmosDB ended up rewriting their code because of throttling.
I know a few other teams when I was working elsewhere that had to migrate off Spanner due to throttling and random hiccups, though if Google uses it for zanzibar, they must not have that problem internally. Maybe all these companies increase throttling limits for first party use cases.
My current team uses dynamo, which has also given throttling issues, but generally only when they try to do things that it's not designed for (bulk updating a bunch of records in the same partition). Other than that, it seems reliable (incredibly consistent low latencies) and a bit cheaper than my experience with cosmos, though with fewer features.
They all seem to have their own pros and cons in my experience.
Discounting Chinese labs entirely for agi seems like a misstep though. I find it hard to believe there won’t be at least a couple contenders
I wonder one year is enough time for programmers to understand codebase, let alone meaningfully contributing patches? But then we see that job hopping is increasing common, which results in the drop in product qualities. I wonder what values are the job hoppers adding to the company.
Umm... I don't think Zuckerberg would agree with this statement.
:-)
The bottom line is that scaling requires money and the only way to get that in the private sector is to lure those with money with the temptation they can multiply their wealth.
Things could have been different in a world before financial engineers bankrupted the US (the crises of enron, salomon bros, 2008 mortgage debacle all added hundreds of billions to us debt as the govt bought the ‘too big to fail’ kool-aid and bailed out wall street by indenturing main street). Now 1/4 of our budget is simply interest payment on this debt. There is no room for govt spending on a moonshot like AI. This environment in 1960 would have killed Kennedy’s inspirational moonshot of going to the moon while it was still an idea in his head in his post coital bliss with Marilyn at his side.
Today our govt needs money just like all the other scrooge-infected players in the tower of debt that capitalism has built.
Ironically it seems china has a better chance now. It seems its release of deep seek and the full set of parameters is giving it a veneer of altruistic benevolence that is slightly more believable than what we see here in the west. China may win simply on thermodynamic grounds. Training and research in DL consumes terawatt hours and hundreds of thousands of chips. Not only are the US models on older architectures (10-100x more energy inefficient) but the ‘competition’ of multiple players in the US multiplies the energy requirements.
Would govt oversight have been a good thing? Imagine if General Motors, westinghouse, bell labs, and ford competed in 1940 each with their own manhattan project to develop nuclear weapons ? Would the proliferation of nuclear have resulted in human extinction by now?
Will AI’s contribution to global warming be just as toxic global thermonuclear war?
These are the questions that come to mind after Hao’s historic summary.
This paragraph doesn't make any sense. If you read a lot of Zvi or LessWrong, the misaligned intelligence explosion is the safety risk you're thinking of! So readers "guesses" are actually right that OpenAI isn't really following Sam Altman's:
"Development of superhuman machine intelligence is probably the greatest threat to the continued existence of humanity. There are other threats that I think are more certain to happen (for example, an engineered virus with a long incubation period and a high mortality rate) but are unlikely to destroy every human in the universe in the way that SMI could."[0]
To quote Jonathan Nightingale from his famous thread on how Google sabotaged Mozilla [1]:
--- start quote ---
The question is not whether individual sidewalk labs people have pure motives. I know some of them, just like I know plenty on the Chrome team. They’re great people. But focus on the behaviour of the organism as a whole. At the macro level, google/alphabet is very intentional.
--- end quote ---
Replace that with OpenAI
[1] https://archive.is/2019.04.15-165942/https://twitter.com/joh...
- The company was a little over 1,000 people. One year later, it is over 3,000.
- Changes direction on a dime.
- Very secretive place.
With the added "everything is a rounding error compared to GPU cost" and "this creates a lot of strange-looking code because there are so many ways you can write Python".
Is not something that is going to last.
Is that why they have a dozens of different models?
> Many leaders who were incredibly competent weren't very good at things like presenting at all-hands or political maneuvering.
I don't think the Sam/Board drama confirms this.
> The thing that I appreciate most is that the company is that it "walks the walk" in terms of distributing the benefits of AI. Cutting edge models aren't reserved for some enterprise-grade tier with an annual agreement. Anybody in the world can jump onto ChatGPT and get an answer, even if they aren't logged in.
Did you thank your OpenAI overlords for letting you access their sacred latest models?
+-+-
This reads like an Ad for Open AI or an attempt by the author to court them again? I am not sure how anyone can take his words seriously.
I doubt many people would say something contrary to this about their (former) colleagues, which means we should always take this with a (large) grain of salt.
Do I think (most) AT&T employees wanted to let the NSA spy on us? Probably not. Google engineers and ICE? Palantir and.. well idk i think everyone there knows what Palantir does.
This past week I canceled my $20 subscription to GPT, advocated my friends do the same (i got them hooked) and just will be using Gemini from now on. It can create AI maps instantly for road trip travel routes to planning creek tubing trips and more. GPT does not do maps and I was paying $20 for it while Gemini is free? Bye!
Further and more important this guy says in his blog he is happy to help with the destruction of our (white collar) society that will cause many MANY financial to emotional pain while he lives high off the hog? Impending 2030 depression .. 100 years later Im unfortunately betting!
Now AI could indeed help us cure disease but if the major are destitute while a few hundreds or so live high of the hog the benefits of AI are canceled out.
AI can definitely do the job ten people use to yet NOW its just one person typing into a text prompt to complete the tasks ten use.
Why are we here..sprinting towards this goal of destruction let China destory themselves!!!
If anything about OpenAI which should bothers people is how they fake to be blind to the consequences because of "the race". Leveraging the decision IF and WHAT should be done to the top heads only never worked well.
That is literally how openAI gets data for fine-tuning it's models, by testing it on real users and letting them supply data and use cases. (tool calling, computer use, thinking, all of these were championed by people outside and they had the data)
What i haven't seen much is the split between eng and research and how people within the company are thinking about AGI and the future, workforce, etc. Is it the usual SF wonderland or is there an OAI specific value alignment once someone is working there.
a research manager there coauthored this under-hyped book: https://engineeringideas.substack.com/p/review-of-why-greatn...
This is super interesting. I work in a group where everything is on slack and some pieces are/were super hard. So much so that I want an AI assistant that can manage my slack feed etc... I feel like an AI bot/slack integration is a thing that needs to be done well.
It seems like Claude code via screen / multiple terminal windows is strictly better than the Codex approach given it keeps the developer in the loop.
Only advantage of async Codex is ability to carry on when using a different device like your phone to code.
Of course they are. People in orgs like that are passionate, they want to work on the tech cause LLMs are once-in-a-lifetime tech breakthrough. But they don’t realize enough that they’re working for bad people. Ultimately all of that tech is in the hands of Altman, and that guy hasn’t proven to be the saint he hopes to become.
When I go to AWS it looks similar except role assignments can't be scoped, so needs more duplication and maintenance. In that way Azure seems nicer. In everything else, it seems pretty equivalent.
But I see it catching flak occasionally on HN, so curious what others dislike.
Seems like an awful place to be.
Kind of interesting that folks aren't impressed by Azure's offering. I wonder if OpenAI is handicapped by that as well, compared to being on AWS or GCP.
I clicked that other story just to see what that author said about his time at that company. The fundamental urge is to slap some bloody sense into him, because the only thing amazing about the article is just how obtuse it is.
Under all the glowy, wide-eyed applause for many aspects of how Palantir operates, he's not really internalizing just what kind of parasitic, corporate/government surveillance monster he was working for.
To put it simply, he speaks as if he were a useful idiot, praising selectively, glossing around a very serious moral swamp with mealy-mouthed categorizations about what's cool and not cool, ideological whitewash and generally failing to see the fucking forest for the trees. Palantir and its kind represent a disgusting possibility for the future of how society is managed by increasingly autocratic government tendencies and their hustling corporate allies. And I can think of no more chilling a notion than just what that management could entail for hundreds of millions of people under the guise of supposedly fighting all kinds of ambiguous or outright invented "bad actors"
With OpenAI, you get a lot of corporate mendacity and the usual stew of trying to game the rules for the company's own favor. However, underneath this is a product that's largely used by ordinary people for doing fairly ordinary things, even if many of them contribute to the burial of culture in the cheapest auto-generated sludge imaginable.
With Palantir, the fruits of the labor are... squarely something else entirely.
Some of the details seem rather sensitive to me.
I'm not sure if the essay is going to stay up for long, given how "secretive" OpenAI is claimed to be.
as an early stage founder, i worry about the following a lot.
- changing directions fast when i lose conviction - things breaking in production - and about speed, or the lack of it
I learned to actually not worry about the first two.
But if OpenAI shipped Codex in 7 weeks, small startups have lost the speed advantage they had. Big reminder to figure out better ways to solve for speed.
Sleeping on Keen Technology I see
The choice of name continues providing incredible amusement.
So it let me wonder if employees are really believing that and drinking the kool-aid of their own marketing, or if this is just a communication move again.
Where is this AGI that you've built then? The reason for the very existence of that term is an acknowledgement that what's hyped today as AI isn't actually what AI used to mean, but the hype cycle VC money depends on using the term AI, so a new term was invented to denote the thing the old term used to denote. Do we need yet another term because AGI is about to get burned the same way?
> and LLMs are easily the technological innovation of the decade.
Sorry, what? I'm sure it feels that way from some corners of that particular tech bubble, but my 73 year old mom's life is not impacted by LLMs at all - well, except for when she opens her facebook feed once a month and gets blasted with tons of fake BS. Really something to be proud of for us as an industry? A tech breakthrough of the last decade that might have literally saved her life were mRNA vaccines though, and I could likely come up with more examples if I thought about it for more than 3 seconds.
- no such thing as open ai as a decision unit, there are people at the top who decide + shareholder pressure
- a narcissist optimizes for himself and has no affective empathy: cruel, extremely selfish, image oriented, power hungry, liar etc.
- having no structure means having a hidden structure and hence real power of the few above, no accountability (narcissists love this too)
- framing this meritocracy is a positive framing, it is very easy to hide incompetence
- people want to do good, great, perfect naive and you can utilize this motivation to let them burn out and work for YOUR goals as a leader... another narcissist is great doing this to people and the richest man in the world per share price
all in all, having this kind of mindset is good for start ups or get the lucky punch, but AGI will be brought by Anthropic, Google and Ilya :) you will not have series of lucky punches, you have to have a direction
I think Sam Altman, a terrible narcissist, uses open AI to feel great and he has no strategy but using others for their own benefit, because narcissists dont care, they just care about their image and power... and that is why open AI goes down... bundling with Microsoft was a big red flag in the first place...
when i think of openAI, it is a bit like Netscape Navigator + Internet Explorer in one :)
Anthropic is like Safari + Brave
Google is like ... yeah :)
Ilya is like Opera/Vivaldi or so
this does not sound fun lol
... then the next paragraph
> As often as OpenAI is maligned in the press, everyone I met there is actually trying to do the right thing.
not if you're trying to replace therapists with chatbots, sorry
making human beings obsolete is not the right thing. nobody in openAI is doing the right thing.
in another part of the post he says safety teams work primarily on making sure the models dont say anything racist as well as limiting helpful tips on building weapons of terror… and that AGI safety is basically not a focus. i dont think this company should be allowed to exist. they dont have ANY right to threaten the existence and wellbeing of me and my kids!
Grok be like. okey. :))