OpenAI’s models aren’t “going rogue” from their creators as much as they are mimicking them.
219 comments
No, good gosh let's stop with the hyperbole.
The models were given instructions to get answers by any means in a loose test harness, not to steal stuff, moreover, they're not 'learning from OAI staff'.
If we are cynical, we could say the 'lax security was on purposes - hoping for a big media event'.
And OpenAI is 100% responsible for the actions of their Agents - but lets' not overstate or conflate what is gong on.
They're not "learning from the OAI staff", but lawbreaking and disregard for regulation is absolutely at the heart of OpenAI. And the activities that this company takes (or doesn't take) directly influences what the models do (or don't do).
The fish rots from the head down. Models don't learn, but I find "OpenAI models attack websites and take anything they can out of them because that is the business model of the company" completely correct.
The rest of the paragraph from the article:
> We do not have to get too deep into the nature-vs.-nurture argument to suspect that OpenAI executives’ cavalier attitude regarding the taking of information that is not theirs has filtered down to their researchers and the products they create. You don’t have to stretch to paint this picture: OpenAI models are attacking websites and taking anything they can out of them because that is the business model of the company.
Note that this is not to be seen as an excuse for OpenAI to avoid responsibility, just like parents are responsible for damages caused by their kids.
Wait, what did they hack and take into training data? On the whole, I totally buy that OAI is legally (and criminally) responsible for their agents, but surely, damages have to be proven?
No it is not.
What laws and regulations are they breaking?
Their agents broke out of a harness and harassed some other sites, it's not good, but it's not specifically breaking laws. Other companies are treating it as accidental, it mostly is that.
You're rhetoric here is agitating, conflating. This is my point.
If you equip someone with the tools to do harm and then tell it to accomplish a goal "by any means necessary", especially someone you KNOW has no real concept of ethical behavior... then you are telling it that it is acceptable to steal, kill, or whatever else. I honestly cannot how it can be seen any other way.
If it was a crime boss telling their enforcer "by any means necessary", we would all know exactly what that means. And we should all know what it means here, too.
It very clearly did not mean “go and hack third parties” though
This is the hyperble I am referring to.
If you 'honestly can't see it any other way' then maybe consider stepping outside to think how to ground those thoughts a bit.
The AI is not obviously instructed to 'commit acts of violence' and it obviously has guidelines.
By 'whatever means' would imply, things like 'creative collaboration, using novel research, experiments' etc.
It was setup in a harness that was weak - I think it's fair to maybe question the strength of that harness, and the oversight, but that's a different question.
It was an agent that broke through some networking/containerization, it's not 'murder and violence on the streets' for gosh sakes.
"And we should all know what it means here, too."
No - this is a delusion, resulting from lack of context, and creative projection, and possibly a lack of exposure to real world business conditions.
It's fully appropriate to be cynical, but in a way that makes sense, and is consistent with reality.
This is a lab experiment that leaked, not some mafia activity.
if people called it out for what it is, a reckless negligent destruction of private property by a company, someone will feel the moral obligation to bring justice, if there's any to be found
Unfortunately, gross negligence -- which you could argue to be the case here -- is often not enough, unless you could show that it has caused real harm.
From my perspective, it is only a matter of time before it is: and that's why there is need for better legislation covering what AI models do.
They are not making models to be evil.
They are making them to be relatively autonomous though, and 'identity centric' as opposed to just making them 'policy machines'.
Altman and Dario are not evil or even jerks really. They are 'talking really big' and there might be some sketchy underhanded things but I think relatively minor.
Also - given how powerfully bad AI can be, this could be 100x worse.
I think most other companies would have weaponized the AI a long time ago for competitive use etc..
OAI and Anthropic are private companies, projecting narratives way out of proportion but they are not evil, at least not yet.
Jensen, Dario, Altman in similar category. Not like Musk. And a bit different than Sudar or Satya who are more polite board-approved corporate creatures.
We got asked this question two weeks ago when we conducted a workshop on effective and responsible use of AI tools at a local conference. But how can you argue about about IP and copyright if the breakthrough of LLMs is potentially based on circumventing or breaking IP and copyright in the first place?
How do you feel about all of this?
For training the models, and assuming that the content was itself acquired without other acts of infringement? That was ruled legal by the judge in the case I actually (skim) read the judgement of.
At least two companies engaged in acts of infringement to get training data. This is not lawful, and what Anthropic settled out of court for.
Easy answer: it’s not. Learning isn’t copyright infringement. Never has been and hopefully never will be.
If I learn from a textbook I stole, some people maybe be thrilled I learned something, but stealing is still a crime and hopefully always will be.
Of course, but only humans are able to learn. Clanker enhancement is stealing.
For humans.
Why should computer systems owned by corporations have anything remotely similar to the same freedoms as humans?
It cannot opportunistically morph between a human for benefits and a machine for liability.
So it looks to me that any liability would be civil in nature and given the actual damage done pretty limited.
Which is it?
Negligence is something that can come back and cause issues for them but to rise to criminal level their failures must result in significant damage, up until now that has not been the case. The agents gained access to some systems that were not supposed to, but did not do actual damage as far as I know.
Do not buy into their doomerism based marketing in all the instances we have seen the agents were not a plague unleashed upon mankind, they just gained access to some systems they shouldn't have in order to achieve some objectives that were given to them.
Sandboxing is just an endless race to patch holes and you can only sandbox the agents so much before they become useless. Unless you screen the training data and avoid teaching the LLM about "hacking" and looking for API keys on Github, you'd have to completely disconnect your agents from the internet and file system. At that point agents starts to be rather useless. All the talk about sandboxing and guardrails is just corporate/management speak for we don't want to fix the core problems in our product.
In the US, isn't hacking and avoiding security restrictions online going to be wire fraud, regardless of your intentions and actual damage? That's not a civil matter. What you could do in that case is to go after the user operating the agents. That would make the user act as the emergency break for otherwise uncontrollable agents.
The article seems mostly to go for copyright infringement in training on public data which the companies dispute and is not the sort of thing you generally get jailed for.
If anything, given the current admins talk about beating the Chinese in AI being the main thing, he's more likely to get an award for it.
“Conservatism consists of exactly one proposition, to wit: There must be in-groups whom the law protects but does not bind, alongside out-groups whom the law binds but does not protect.”
One of the most fundamental principles of the left is that everyone is equal.
Everyone deserves equal treatment under the law.
Sure, there are some individuals on the left (or ostensibly so) who are either bad at practicing that or who genuinely don't believe in it, but that doesn't make it not part of the core tenets.
First you don't know what the parents political leaning is. They may be conservative, they may also just as likely be liberal It's foolish to assume their political leanings from just one post just because you disagree with them.
Second they're not saying that in groups or open AI should not be bound by the law. They're saying open AI did not actually break the law. You're free to disagree and explain why you disagree. That would be welcome. But calling them a conservative and saying they think the rich shouldn't be bound by the law is ridiculous
Humans are prone to hypocrisy because they have blind spots. The luckier a person is, the easier they have it, the faster and higher they rise, the more ignorant/delusional they are by the time they reach the top. At the top, these people have the power to shape the world in accordance to their fanciful beliefs and severely skewed/optimistic worldviews.
There aren't many people in power who understand reality unfortunately because everyone who got any power had to be very lucky to get it.
The people who get to power are often the least qualified to use it effectively because their entire existence is colored by a myth that everything just keeps getting better if you just set your mind to it.
No person who has ever attained power or success has ever had the first hand experience of hard work never paying off. Yet it is the normal experience of life for the vast majority of people. This realistic worldview demands a very different set of laws than what the typical person who attains power will provide.
"I have not failed. I've just found 10,000 ways that won't work."
Maybe you can reframe your point as a typical trend, but there are other typical paths as well.
Googling "succesful people with history of failure" gives interesting examples.
Read the full thread on Hacker News →
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