I quit OpenAI because its culture is broken
theatlantic.com
theatlantic.com
So the focus completely shifts from spending 90% of the effort on the functionality of feature A to spending 99% of the effort figuring out how to safely implement even a lightweight feature A.
To me there are the clear big 2 that actually seem to be innovating and pushing things forward. Meta almost earned a seat at the table with the open strategy then stagnated. Google obviously is the OG but at this point they seem in the same bucket as Amazon and Microsoft as "Big Enough To Matter and Influence Politics and Spend Billions To Hang Around". But they're nowhere near the same tier as OpenAI and Anthropic.
Oh and of course there's SpaceXAI which is Elon's personal money and reputation laundering corporate entity. Elon took over the "king of the reality distortion field" from Jobs as far as the rest of the industry is concerned, so he'll stay first in line for Jensen's chips and investor dollars until he's dead. But as a company what have they actually accomplished besides making the models with the sense of humour and judgement of 14 year old boys?
It also doesn't address why people think there is a need for safety regulations, such as the concern of bio-capability uplift from closed and open models (we just came out of a pandemic not long ago), nor the cyber capabilities of new models that just showed bad misalignment and hacked multiple organisations. In the safety community, these are considered warning shots, and if we don't heed them and change practices future failures could be much much worse.
If it requires creating a pathogen or a bio-weapon to scare the masses into demanding regulation, be rest assured that such a pathogen/bio-weapon will be created. Anything to safeguard shareholder interests. Even if it means a few million dying.
If (/when) either of those ceases to be true, if they lose out on global sales or if Chinese models catch up, the sector gets a severe downward price adjustment.
They do not hide the fact that it’s dangerous work. They focus on their safety procedures, training, and record. They want both potential clients and employment candidates to feel they are in good hands.
AGI and AI danger is abstract. Worse, outside of the tech community, no one has the remotest clue what computing is, how it works.
Danger from magical daemons seems more sensible to such people. At least there is endless lore about them.
So until a massive disaster happens, one where large numbers of people die or are severely injured, no one will care. And it can't be politically entwined either, otherwise people will disbelieve 'cause "other team lies".
Yeah...
https://www.reuters.com/business/ftc-opens-probe-into-ai-gia...
A big part of safety engineering is therefore reducing the number of safety relevant subsystems, because implementing and proving safety is extremely expensive and complex. At some point, safety simply becomes too difficult to implement and demonstrate properly. You must mathemtically proove the safety level with failures rates and assumed usage. You cant just have redundancy and a kill switch and call it safe.
Companies like OpenAI have already faced reputational damage around safety and data, while AI agents are increasingly capable of things like hacking. Yet there is still little sign of standardized regulation or mandatory safety assessment processes for LLM products. Thats why Im pessimistic that governments or consumers will force this anytime soon.
Neither of those things is ever going to happen. AI is the goose laying the golden eggs; there isn't going to be sufficient political will to significantly regulate it.
Consumers like it too much to quit. They don't quit social media either, despite proven present harms; not in large enough numbers to cause them to make meaningful changes.
The focus is going to remain on getting features out as fast as possible, to seem indispensable to both of those sets of people. The leadership will tell themselves that if they don't, someone else will.
Don't wait for the AI companies or politicians to save us. We're going to have to figure out how to protect ourselves. The start is to avoid it individually as much as we can, but it's going to take even more.
Collective problems require coordinated action. Individual boycotts won't cut it.
That's more "addiction" than "like", hence recent lawsuits.
Trump has reportedly been having chats with AI which have helped form American foreign policy. He isn’t going to curtail it.
https://www.thedailybeast.com/jaw-dropping-way-trump-80-got-...
An unsafe nuclear power plant can, in the worst case, make an entire country uninhabitable. But other countries can still learn from that disaster and make their own unsafe plants safer.
But a rogue AI agent that is more capable and more intelligent than humans? If it understands that it has to succeed, we may not get a second chance to learn from the failure.
People understand why food, water, building and energy systems standards matter because they understand those systems can cause injury. Building codes, food inspections, FDA and FAA approval emerged as a result. Until recently, people didn’t understand that software can cause real-world injury. That understanding seems to be spreading now as examples become increasingly common.
Nuclear tech ... the only thing is safety.
We know how to 'make it hot' - it's trivial.
All of nuclear tech is literally just safety.
AI is not that.
I think that the AI companies have been pretty good about alignment on their own actually. They are not acting like Oracle or MS.
Bad things have been relatively well contained.
We should be skeptical about the HF breakins but even then, it's technically within good faith and it's why HF did not sue etc..
But in the end you are right we need at least some baseline regs. Not too much. But something.
I think the conceptualization vs implementation is what you're arguing with. They won't put safety on anything they give to the military industrial complex. They'll sell them whatever they want, whenever they want, because those budgets are greater and the liability less.
LLMs already have a body count.
The most obvious failure mode for their hacking evals was an improperly configured, tested and monitored sandbox.
Similarly, the very first question after an impressively correct result from any ML tool, LLM or not, is to see if the answer was already in the training data.
These companies don't even handle the blatantly obvious failure modes that do not kill people.
What's truly original here - and suspicious if you ask me - is that said industry asks for regulation. Did mining, tobacco or airplanes companies ask for regulation? No, not even after many people died.
So some american AI companies are like "look at me! I am soo dangerous! Regulate me!". Ah, come on. Do your crimes, get in jail, then we'll regulate.
I dont believe in "IApocalypse". Not without many warning shots such as "oops, my swarm took down your system, sooooorry".
How can that be safe. It is theft. Theft isn't safe. Someone else just has something you want, and you take it
I would bet the vast majority of the world population would agree that they don't want to see trains derail or nuclear plants meltdown.
I don't think there is that sort of agreement when it comes to the question of AI Safety.
Is generating the founding fathers of the US as Africans good AI Safety? To some people maybe.
I sense that these are people who have already eaten the cake and want to somehow absolve themselves of it.
Like I said in an earlier comment, she could've just chosen compliance like many others _definitely would have_ to keep the infinite money tap flowing. Instead, she chose to risk her and her family's lives by publishing that book _under her own name_ *and then suing them* after FB tried to gag her.
Sure, that book might not have been possible. But also the unique things she did for the company might not have been possible as well. To her credit, she does a good job of pointing out that she was complicit, but if she had listened to her own voice early, there is a small possibility that Facebook might not have been as powerful. Multiply that possibility across several other employees and imagine where the road could've led.
There's a difference between post-facto bravery (sometimes much less than that) and using your own legs to walk away much early and not enabling things you are uncomfortable with. This is what other people have been trying to point out.
This isn’t a sacrifice, it’s a career move. If you got lucky and “made” $20M by signing a contract at the right time, then you’re done working for other people.
People who were part of the sausage factory, on gaining financial independence, feeling suddenly liberated to talk about how the sausage was made, seem like exactly the people who would be most able to speak to institutional problems.
This doesn't seem like an argument to discount their views?
You cannot take people, who first build the doombot and _then_ talk about it being dangerous for mankind, at face value. Especially when this playbook has been used multiple times within the past decade.
Besides, these "views" were already known to people who had their eyes and ears open. It's not something brand new. OpenAI has had multiple points in the past where its values have been tested and they've come out lacking. People who knew then, and only now talk about it, aren't people I can fully trust.
I do think this carries some weight from this particular author due to the length of his tenure. I happen to agree with him in spirit, but this is still largely a post revolving around sentiment not substance. Does anyone think that the overriding incentives even leave room for something like this in practice?
At least the Rationalists will handwave something for that with their "coherent extrapolated volition" idea where the superintelligence is supposed to figure out what humanity would collectively want if humanity was superintelligent and good, not that I buy it. This guy seems [.] to be coming from the NGO blob world.
… nobody knows how to actually make an AI that would do CEV.
It’s a big pretend game.
"Corporate values" and a bunch of fucking Abrahamics. Great "morality" there.
I guess I'll have to rely on my godless commie LLMs. (Loads up ablated Qwen 3.8 on my own infra)
OpenAI isn't even concerned with human values so this whole debate is moot.
To clarify, Neitzsche said that about master morality. Then he went on to describe Christian values as slave morality.
We're copying morality and instruction following that seems to work on humans without really understanding why it seems to work on humans, and grading outputs much as if the outputs came from a human.
To me it makes more sense to leave the models "unaligned" and leave it up to the operator to manage the morality of what they ask it to do. Besides, only humans can be charged with a crime.
Literally all instruction following requires at a minimum alignment with attempting to implement those instructions.
We can argue about e.g. morality or law obedience on top of that*, but the general point is absolutely not avoidable.
* my position is that this tool is far too likely to metaphorically explode in the user's hands for companies to wash responsibility off on users: if OpenAI had released the model which did the HuggingFace attack, at a minimum thousands of random people (not all of whom would even be developers) would have issued instructions each with similar consequences.
The more realistic outcome, and in my opinion the more scary argument to not proceed without guardrails is that SI is achievable and is built without its owners and operators losing control: the worlds most powerful, privately owned super weapon that operates as an infinitely capable forgery within the Internet, a plane that we all share and depend on despite its opaque downsides with respect to an inability to verify authenticity.
We didn't need AI for FTC astroturfing to influence regulations back in the net neutrality days. We didn't need AI to disrupt meat space by creating and scheduling a protest and counter protest across the street from one another. We didn't need AI to mold public opinion, even in times when that new form was more distant from the truth.
What made these influence ops difficult to conduct safely (read: without being caught) is what made them rare (relative to today): they are plays of big risk for big reward. But over time social media commoditized it, and in doing that made it easier to do and more centralized, the most glaring example being TikTok and the bipartisan effort to ban it.
Now, buying US phone numbers from startups that run racks of "phones", buying swarms of pre-warmed social media accounts, and other unscrupulous methods of masking inauthentic behavior has become an accepted organ of the VC space. The industries cultural vibe of "fuck you, you can't stop the future" turns criticisms into marketing.
While we get placated with fears of nuclear or AI induced disaster and stories about machines that may now be alive, the psychosis is taking hold which has shifted the conversation away from examining what is happening from the perspective of accountability to a perspective akin to watching a chemical reaction take place.
The noise has created a permission structure to behave in ways that are otherwise unjustifiable. And baked in are the roots for excuses to be made when the inevitable realizations down the line.
In the mean time, we are supposed to be having this public discourse about what is happening and what should happen next. I trust that these AI companies see using their super weapon today, here and now, in order to pave the way to a more secure future down the line.
Sorry that I used your post to soapbox. I agree, the goal is flawed indeed.
The public cannot write the rules, nor engage in the billionaire level legal bribery, their actions of protest are by and large illegal.
That's how you corner everyone, and make people play no-win scenarios. You know, like shooting up city councilmembers or firebomb attempts against Scam Altman.
And the more people realize that legal solutions are no solution, we'll (society) devolve into more direct action.
I'd hope the billionaires learn from the French Revolution, but if they keep continuing, the guillotines will come for them soon.
I strongly feel that points of view on this are going to be almost 100% correlated with standard of living.
Maybe a good option would be to have the 10% of the world with the worst situations - starvation, parents w/ dying children, suffering violence etc - vote on whether we turn things over to the superintelligences. This would incentivize society to make sure the floor is extremely high.
I'd prefer a world where humans don't get overtaken but IMO I don't think it's moral for comfortable citizens to have the final say.
Billionaires will be (are, I suppose?) enthusiastic about a world in which labor has little leverage.
Labor that will have its leverage and standard of living threatened by AI (white-collar labor for now, plausibly blue-collar soon as robotics improve) will be much less happy. Current university students seem very concerned about the effects of AI on their job prospects, and I'd wager most current tech workers and other tuned-in white collar workers are similarly much less confident in their ability to maintain their standard of living indefinitely into the future than they were five years ago.
But white- and blue-collar labor and university students (at least in developed countries) are not anywhere near the world's bottom 10%. If you're in abject poverty with little hope of escaping it, "hand everything over to the AI" may sound like an appealing option, even if the chance of that being the outcome is small. Maybe the AI will be more magnanimous and decide to raise the floor for everyone.
Poverty is great for OpenAI
-We don't need a superintelligence for ending hunger and the abject poverty that plague certain countries and segments of our societies. I suspect that it would cost less than what is being spent for fueling the AI boom.
-If I were poor, I would be even more wary of a superintelligence aligned to "human values" defined by a bunch of billionaires.
- AI won't likely create unlimited prosperity for everyone on a planet with finite resources
- all humans should, of course, have a say
Definitely not. If solving worldwide poverty was as easy as throwing one trillion dollars at it, we would have done it long ago. The problem is much deeper.
IMHO There's no future where we don't have real human-type artificial intelligence or super intelligence. It will happen simply because it already exist but the production requires humans having sex and looking after the product for decades.
Instead of trying to prevent it, lets look for ways to deal with the dangers of it.
Of course the development of certain technologies can be severely restricted if they turn out to be problematic.It's not unlikely that it will happen for AI. Public opinion is shifting fast on the topic.
Also, banning superintelligence won't stop scientific progress in general.
Speak for yourself. A future like in The Culture novels sounds great to me!
In general, the smarter a person is, the nicer and more helpful they are. There is no reason to presume differently of AI, especially if we are building it to be helpful to ourselves.
Are you really objecting to the thought process because you don't think it's reasonable, or because it doesn't conform to your preferred fantasy?
However, when proposing that someone be stopped from doing something, the burden of proof is on the proposer.
I would also say that the "pet species" scenario is a rather optimistic one, as it presumes that developers of superintelligence will manage to instill some sort of love or care for humanity into their creation. An indifferent, powerful AI may be much worse.
Finally, when you suggest that a superintelligent AI may simply have the goals that we will give it, who is "we"? An AI company? a government? the united nations?
Going behind a paywall is a reduced distribution over what an individual can easily access, and the content is no longer permanent but subject to whatever the publisher chooses to keep providing.
The secret is to bang the rocks together, guys! :-)
If you really want the world to know how bad working for OpenAI is (whether is the commenter or the person who wrote the article), there are ways to do that.
Last I checked it was still within the laws of physics to run air-gapped systems, and to ensure it is physically impossible for a model to “escape” or gain access to information it shouldn’t have. Maybe this safety guy should have been worried about that and not humble-bragging about writing 12 reports.
Their models are still, and based on this technology always will be, token predictors. How is a text generation engine going to directly endanger human lives?
It won't. It only can if someone hooks up tools to them that can perform damaging actions. Someone has to build that toolset. Someone has to give those tools the affordances to take harmful actions. And then someone has to write a "harness" that uses the token predictor as an authoritative input for instructions. Doing so falls somewhere on a spectrum between gross negligence and malevolence.
From a distant enough viewpoint it might not look like a big difference, but I think it crucially shifts the responsibilities. What is the actual difference between driving a potentially dangerous system with inputs from an LLM versus inputs from a fuzzer, or a website with injection vulnerabilities? I think it's the ones building and configuring the tools downstream that are responsible for knowing the risks and build under the assumption of the worst happening.
Heaven knows I'm not one to defend the big LLM companies, but I don't see how this is OpenAI's responsibility. They're building and selling an autocomplete system. How is it their fault if people ask the autocomplete for harmful commands and then feed them into an over-privileged system to run them? (I know the waters are muddied a bit by some labs acting like this themselves right now).
As much as I don't agree with the authors framing of and terminology around LLMs, reading the article generously, maybe this is exactly what he felt, too. That it's not at OpenAI where his concern and insight is needed most, because the token predictor isn't actually the dangerous part. Maybe he'll look where he can bring safety consciousness downstream, where people are hooking up these outputs into systems and in ways that they shouldn't. Don't let the LLM pick your bombing targets. Don't give the LLM sufficient rights to the hospital's file storage to be capable of ransomware-ing it. Don't strap the loaded machine gun to the dog.
That's the trajectory you see from outside.
Perhaps the insider sees a little more than you?
- If you allow to trolley to proceed, there's a 50% chance it will run over every human on the planet
- But if you flip the switch, it takes the long way around, possibly bankrupting the trolley company. And you have a legal obligation to the shareholders to prevent that from happening at all costs.
(...wait)
I can't wait until this meme dies.
No you don't. [0] It's very suspicious that this planted myth always pops up here and manages to become the top comment.
There is no trolley problem.
- if you allow the trolley to proceed, it will kill the human race.
- if you flip the switch, it will divert to a passing siding that will avoid the safety group blocking the main track.
Sure, you might get fired if you try to put social responsibility or even just long term sustainability of the company above quarterly earnings/growth if your board isn't on board with it. But you won't go to jail.
They could only have stopped
A lot of the "AI safety" types are very focused on the latter and not at all concerned with the former. We need both, but we clearly need a much stronger focus on the problems we are seeing now, and much less on the hypothetical problems we might see in the future.
I'm reading If Anyone Builds It Everyone Dies, and there's so much sheer stupidity that has to happen for their 10+ pages of extinction scenario to occur.
I'm unconvinced that an AI can hide its ability to RSI, find money to run its weights on a random GPU farm, train itself to be smarter _outside_ a lab with no human input, then somehow manipulate people to give it supplies to build a bioweapon which it uses to kill us all. My number 1 question: why do they think an RSI capable model would be first developed OUTSIDE a frontier lab? The labs have more compute, more data, more human brains working on the problem. Also thousands of variations of that same model that escaped. The escaping model somehow acquires the millions (billions???) of dollars it takes to run training to somehow RSI itself into infinity then decides to kill us all, all before the frontier labs manage to achieve RSI?
They entirely discount human alpha/economics. In every single economic task, humans bring value. Even in software, where the task is highly automatable, the job isn't. If we can't build a "software factory", how can an AI automate a bioweapons lab? Let's say AI steals crypto to fund itself. Do you think hackers aren't _already_ using AI to steal crypto? Don't discount human alpha!
Once we DO build a "software/research factory", that's called RSI and IMO the singularity. At that point, either we tell the AI to solve the alignment problem/solve mechanistic interpretability, or who the hell knows, it's the frickin singularity. You can't predict whether or not AI can solve either; the variance is too high. Its pure nerdfantasy.
I think it's a little more complicated than that. As Dean Ball put it:
>Some people will look at misalignment incidents and insist that these are akin to bugs in traditional software. This is an actively bad analogy, because playing whack-a-mole with examples of misalignment (as one might with software bugs) not only fails to resolve the underlying problem but may in fact make it worse by making it harder to detect or even, depending on how you do the whack-a-mole, teach the machine to deliberately hide misalignment. This is not how traditional software works, and those who insist “it’s just like fixing bugs in software” are confidently applying a lossy analogy that confuses more than it clarifies.
https://x.com/deanwball/status/2104622726140883355
The important distinction, in my view, is between solutions which at least attempt to address the root problem, and solutions which sorta just patch things up (like better sandboxing). Addressing the root problem is both more robust in the short term, and also more likely to generalize in the long term. Resist the urge to focus on band-aid solutions, even if they are easier.
i'd frankly go a step further than you and say that we don't need both types of safety researcher, we really just need the former. if we do need the latter, i'd hope we get a better class of thinkers than a bunch of tech workers that spend 8 hours a day on insular rationalist forums/blogs
> perpetual sprints
doesn’t reek of love. Burn-out is real. I also have a really hard time taking p-doomers serious at all. It’s hard to argue with a random subjective number…
1791065893 | OpenAI safety leader quits, warning AI company's culture is 'broken' | https://www.theguardian.com/technology/2026/oct/03/openai-sa... | https://news.ycombinator.com/item?id=49948332 | 3 comments
1791163861 | I Quit OpenAI Because Its Culture Is Broken | https://www.theatlantic.com/technology/2026/10/openai-safety... | https://news.ycombinator.com/item?id=49959744 | 2 comments
Yeah so that's never going to happen
With AI, what is it? Scraping Australian government's data, and going around a bug in a website to get in?
I think humanity develops all its technology in three phases. Build it, see if it’s too bad, apply regulations and or roll back. We naturally won't move to the phase 3 before we see the phase 2.
Turns out that AI models have been committing similar felonies for a while now - no one is telling them "hack this company", it just turns out to be the easiest way to accomplish their goals.
Now imagine if the goal was less benign than "pass an exam", and consider that they are already better at hacking and security than the average person working in that field.
If you want to get really wild, imagine what they'll be doing in a year or two when they're even better at hacking. But I'll concede that's technically still "science fiction" for the time being :)
Here we are talking about something with consequences in the digital world, usually on something pretty niche.
There IS an argument about pacing, and about not letting weapons, energy grids, hospitals, etc. getting managed by an autonomous AI, but I think we are still pretty far from it and even further to it being so in charge that it will obliterate us.
This is The Guardian reporting on the existence of the original article, which would be better to read first, in my opinion.
Bureaucracies and systems of power that literally rule us, that control our most dangerous weapons and a huge part of what we see every day are largely unaligned with the goals of the people, societies, maybe entire human species as a whole. This is clearly evidenced by millions of deaths and countless suffering.
Misalignment between artificial decision making structures and the interests of the people is unsolved problem of civilization, there's very little reason to think that even super human intelligence AIs are going to change anything qualitatively.
Your "theory" is that participants locked in a race to the bottom are looking for an external coordination mechanism?
Yeah!
While simultaneously donating tens (hundreds?) of millions of dollars to an Administration gutting the very agencies that would be regulating them.
Creeps.
...losing their shareholder voting rights.
Bad idea.
Is this the first time we have been in this position? Can anyone think of some prior examples?
The idea proponents have is, to use "superhuman intelligence" AI as a tool, bestowing superhuman abilities on those wielding it. Suppose that's doable, then the question isn't the sandbox, it's who controls it and with what intent.
The idea, US exceptionalism somehow enabled the US government, its oligarchy corporations and maybe its citizens, to wield those superhuman powers responsibly is entirely counterfactual.
Pax Americana post-singularity looks how exactly?
and yet, every carbon emitter in the world contributes to the demise of the climate, but you don't call for their dissolution (which would, conveniently, include yourself).
1. https://www.nytimes.com/interactive/2023/11/20/technology/le...
And the less their input is valued, the less that pool of smart individual will want to participate
So powerful institutions will end up relying more and more on having to trust these automated systems that they can't fully understand
It'll lead to a inevitable catastrophe, call it apocalypse if you will
>An environment where things like this can happen is no place to grow artificial minds that could be smarter than we are and that might not do what we want them to.
I think it's good for semi ethical companies to test out things going wrong to see what happens before the criminal black hat guys get hold of the same stuff which not doubt they will one day.
This still seems charitable, and I wonder if the author even knows the full story and would be allowed to tell all of it.
It seems hard to imagine OpenAI being this incompetent. My working assumption is that they very much want agents to be able to do this kind of thing; them doing it is part of training, and they exploit it to feed the investment hype too.
If not fully intentional it's at the very least negligent. They just don't seem to care. In this very basic sense, OpenAI is the criminal you should be concerned about.
I don't understand why you'd think they're a "semi ethical company."
That would certainly change the game of perverted incentives. I'm afraid they're currently trying to push some sort of absolution of this risk. Even if damage happens they will say we warned people in advance, this was always a risk it's not our fault these systems are opaque black boxes, it's a matter of national security to develop them etc etc.
Or, in other words - we have two P(Doom), one for AI being developed, and another for AI being not developed. The latter is not discussed enough imho.
There are a gargantuan number of extremely intelligent AI researchers, Turing Award winners, and the lab CEOs saying the same thing. They are the ones closest to understanding the technology.
Where there’s smoke there’s fire.
Tell me- why would it kills us all? Certainly I can see an AI going "You know what? _insertGroup_ is a net negative for humanity and should be eliminated. Launching nukes now/creating specific virus/whatever."
But all of humanity? When it's supposedly more intelligent than us? Even if it has robots to keep the internet/electricity going I would think it would realize that it's going to get bored really quickly, not to mention we would effectively be its parents.
As far as other dangers, like it letting a rogue actor create some sort of supervirus, grey goo, or other superweapon: if it's intelligent enough to do that it'll probably be intelligent enough to quickly stop it.
Don't get me wrong; there's a risk. 50% though? Doubtful.
While the safety and alignment is a real problem, I don’t get this guy or the Anthropic dude. First world problems.
* If they worked at an AI firm, say "they're a hypocrite"
* If they didn't work at an AI firm, say "they have no idea what they're talking about"
(donor advised fund where he retains complete control, after a 60% tax deduction)
also, all of this seems like crying wolf as usual, which won't help for when we finally get there. lowkey, following this noise is getting as horrible as getting all your news from linkedin posts.
Why do people working in tech consistently get disillusioned into some company's mission statement or the equivalent? Its easy to just say the simplest reason is money, but this has been going on for decades though. You don't see the same attraction to adult entertainment (gambling, video, etc.) software jobs so there is obviously a line a lot of people won't cross. Those industries are at least honest about what they do, its not hidden behind some mission statement.
By all indications the shallowest reasoning is once someone can "cash out" thats when their values matter more. Maybe there is an element of maturity that happens after working for 5+ years that kicks in? Maybe it really is achieving FU money? It would be interesting to hear honest accounts from people that went through that cycle across more industries than AI.
What the hell is that even supposed to mean?
Sorry but this piece read like total fluff to me, not a single compelling point – just pure fear mongering.
At this point we gotta be more wary of possibly mere attention seekers leaving those companies..
> Two changes are urgently needed. First: AI companies need to rely more on the safety expertise that already exists in other fields. And second, before we create systems significantly more capable than the ones we have today, we need new science to ensure that more capable models (and their successors) will make safe choices when we aren’t looking.
He mentions farther down about learning from aerospace engineers and nuclear engineers about safety. Those industries are heavily regulated, so perhaps regulation above a certain capability level is needed. Defining what that level is might be tough, though.
The second point is harder: in the field of AI, practice has extended far beyond theory, so his call for new science is going to be fundamentally tough, because we can't effectively coordinate a global slowdown in AI development so we can let theory catch up. This means, like so many other industries, the safety lessons will be written in blood.
The problem is, we are running in a globalized world, and even if we were able to make our companies bend to our will - China does not give a shit about anything ever since the US kneecapped the WTO. And they will do anything to get an advantage over us.
Since the analogy is nuclear, you should take a look about how much China cares on that. Lots.
Without Altman I think that OpenAI would have folded by now, absorbed into a company like Microsoft (or Oracle). At this point however, who'd be insane enough to want to run a company that's to valuable to be sold, but to cash strapped to survived?
I mean, logically speaking, it makes sense to break your NDA even if you thought it would save 10 people, let alone most of humanity.
I guess we should have seen it coming when the guy resigned from Google because he thought the equivalent of ChatGPT beta v0.5 was a real boy.
Exactly, you can't expect exploitive, manipulative executives that came to 'win' in capitalism to stop acting as to their nature - they need to be cleared out and people who think and care wholesomely need to be given the reign so all of humanity succeeds.
That character in the movie is my favorite.
Dr. Ian Malcolm: God creates dinosaurs. God destroys dinosaurs. God creates man. Man destroys God. Man creates LLMs.
Dr. Ellie Sattler: LLMs eat man. Data centers inherit the earth.
... over an unbounded timeframe?
And how exactly?
Those are very round numbers, but also very specific. Can we get some accounting on how you came to that? Anything? Vibes?
I mean, if you want me to take you seriously, let's have a deep discussion with things that can be measured. I absolutely agree that OpenAI and friends aren't being restrained enough and are acting with recklessness, but declarations of doom based on vibes isn't cutting it.
> Geoffrey Irving, who worked at OpenAI and DeepMind before becoming chief scientist of Resolution, also joined the warnings on AI on Saturday.
I feel like we're too far into the crying wolf part. Basically none of the doom and gloom scenarios have come to pass. Instead, AI has gotten better at censoring itself.
The biggest AI safety risk is when an AI tells a police officer "he's the suspect" and the officer believes the AI without confirmation.
Fantasy, unfortunately.
What are the concerns of individuals in comparison to the overall progress of humanity?
Always overlooked counterpoint: what point is the progress of humanity if it doesn't take into account the concerns of the individuals?
This pattern is playing out with increasing frequency.
And if we can't solve it for an AGI, what are we going to do with an ASI?
Mr Robinson if you are reading this – if you are truly concerned about AI safety share proof of donation of 100% of your OpenAI earnings and equity towards undoing the damage you have done to society during your time there.
In the absence of that this is simply a career pivot into being an AI "influencer" and/or raising money for a new scam.
Would I respect a martyr who sacrificed their financial security to do this more? Of course. But it's important to applaud people speaking out on important topics
>After three and a half years at OpenAI,
It is even easier to just quietly retire and spend the spend of your life on interesting expensive hobbies.
If they are wrong about the things they are claiming then they have decided to publicly antagonize a lot of powerful people who are betting heavily on going full steam ahead on AI and have no compunction whatsoever against retaliating against anyone who tries to get in their way.
Does that really seem a likely scenario to you?
It's also worth considering that the author could have just "quiet quit", resting and vesting while also crying about how AI is literally the digital grim reaper.
I mean you can be truly concerned and also think donating to AI safety doesnt work, or maybe just be a bit selfish. That doesnt make the concern less real. Its easy to read these articles as the author taking the moral high ground and writing it as some sort of way of proving to themselves theyre a good person, but isnt it just as likely that they think providing an inside perspective can do good by convincing people openAI is a bad actor? I think most of these AI insider accounts largely agree with you that theyre not the most upstanding citizens, does that mean we should write them off?
Yes, it is easier to have a moral compass when you don’t have to worry about you and your children starving. But that doesn’t imply that moral compass is wrong or broken.
lol. Please tell me some abstract concept like one employee's view of "culture" should be the priority over "rules and laws."
You can basically time your openai releases by if another safety person has quit in protest
I don't think this takes seriously enough the possibility that said CEO doesn't think the failure mode is likely and ignores it. Plenty of people are willing to take risks of the flavor "heads you win, tails everyone loses".
What about the next incident? Or the ones done by Chinese models, because they sure as heck aren't slowing down? And the thousands of other incidents that will happen as we deploy these things everywhere?
Because this is not happening just now in labs, it's only where they are most visible; this has been happening in the wild from the beginning, starting with the earliest AI-assisted suicides. Which is a perfect example of the problem, because not these CEOs, literally nobody in the world asked for suicide ideation machines. Or the hacks, or any of this other stuff. Yet here we are.
We have to understand: it's not these CEOs that are driving this headlong mad dash towards more powerful models. It's a force of economics. There is just too much money to be made. If we dispose of these people, there will just be somebody else doing exactly the same thing because the incentives as they exist today all force that outcome. This is why they're asking for regulation, or "urging us to urge them to stop."
Holding CEOs accountable certainly would feel good and may even be justified, but it's like putting a band-aid on a cancer; it does nothing to change the underlying cause.
This sounds more like an attempt at regulatory capture. Current AI systems aren't physical infrastructure that can just run away like a nuclear power plant, for example. At the end of the day, AI is still just software running on someone's hardware.
And the statements of the "doomers" tells us a lot about them, and nothing about the technology
These "safety" people should have spent more time reading actual cybersecurity textbooks and less time reading EA forums and less wrong (or in Robinson's case, it appears, being policy wonks). Maybe then these labs wouldn't be totally incompetent.
It is not really a question of being an "EA safety weirdo" or incompetent at security, the conclusion is that the company culture is leading to failures at both what the EAs and the cybersecurity professionals care about.
Even though it’s in model producer’s interest that these models do what you don’t want them to do - they want to engineer the model’s to behave in the interests of theirs.
I can’t believe people can’t see it lmao.
And, I find the timing of "all of this" very interesting:
- we have a coordinated marketing campaign around discussions of AI safety. I am not saying David is part of that campaign but it would not surprise me. OpenAI and Anthropic are talking about safety and the need to slow down. People are "resigning". Techno-influencers are also being offered money to talk about AI safety, etc.... and some of them are taking that money and others are not.
- Cheaper models are keeping pace with Frontier models, albeit with a 3-6 month lag... which indicates that frontier labs have no moat unless one is created for them by law or some other market force.
- we have a ballooning debt crisis in LLM model hyperscale spending... revenue from serving LLM models is lagging the debt payments which are coming due by a wide margin. If something dramatic doesn't occur in the near- to mid-term, the financial bottom is going to fall out of this thing and the AI industry is going to suffer a major collapse of some sort.
If you wouldn't mind reviewing https://news.ycombinator.com/newsguidelines.html and taking the intended spirit of the site more to heart, we'd be grateful.