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I believe you're straw manning the situation.

> To argue that Facebook somehow magically tricks humans into voting against their will and overrides democracy is to argue that democracy itself inherently does not work.

But we know that propaganda works. That doesn't sit well with your claims.


> Why would he play the victim internally?

To create evidence that he didn't know about it?


Speaking of obscured code:

I'm using AI to decompile old arcade games.

I am finding the craziest anti-tampering stuff. Three different routines - each watches the code of the others - and if anything changes - tank the machine by jumping into graphics RAM.

When I first started seeing this stuff I assumed my decompiler was broken. Nope. Just insane code.


Yeah I've been using Ghidira to study the internals of strategy PC games I like and it's an extremely good learning experience given the paucity of OSS code for stuff like this

Yeah, I should be using Ghidira in my toolchain. I didn't know it existed so I had to reinvent the wheel.

Although - Ghidira is often wrong about what code does. Make it run tests to verify its theories? BINGO.


If you have the energy or desire to write this up it sounds really fascinating.

THAT is an excellent idea. Thank you.

I despise the "next token predictor" framing.

In order to predict the next token in this line "The solution to your problem is..." the entity needs to be able to solve your problem. Which is well beyond what people think of when they think of a token predicting statistical sequence.

The statistical sequence description is ridiculously incomplete.


the entity needs to be able to solve your problem.

People have fixed software bugs with zero knowledge of what the code is doing and no knowledge of the programming language at hand, purely by statistical pattern matching. Solving the problem with no understanding of it beyond the idea that whatever it was, the right answer was probably something that kind of matched the kind of patterns found in things they'd seen before.

So what does it mean, "to be able to solve your problem"?


> People have fixed software bugs with zero knowledge of what the code is doing and no knowledge of the programming language at hand, purely by statistical pattern matching.

Is that even true? Beyond an extremely simple example?


Yeah... I think you just made that up.

Next token predictor is as useful as saying that humans are just atoms and neurones.

It is technically true but meaningless.


An LLM agent is literally Turing complete. There is nothing it cannot compute.

Anytime you hear someone saying "it can't do this, or that..." they are factually incorrect.

The denial around these issues is beyond creepy: AI has clearly hit some tender nerve in the human mind.


I love how every one of these "how do we cope now" essays makes the assumption that the progress has now stopped, and what we currently have is what needs to be adapted to.

Humanity really does not want to look at what is happening.


OK, I'll bite. What, in your opinion is happening? What should we be doing instead?

HA! I'm of the belief that it is impossible to predict other than it's going to keep improving.

If you read this essay, you see quickly that his implicit assumption is that this is now the way things will remain. It is literally insane, given what we are seeing.

> What should we be doing instead?

I have no idea. No one does. This is a runaway train.

I guess being out of control is so intolerable to some people that their minds will not accept it.


Those who have knowledge, don't predict. Those who predict, don't have knowledge.

— Lao Tzu


Because they are trained to behave like people.

As a creator - I am delighted that I can now create at about 20X the rate of what I could before. Maybe more.

I have produced more cool shit in the last 6 months than I have in the preceding 10 years. It's an amazing time to be alive.


I think it's more likely they want to call attention to the fact it was the result of agents, rather than shift blame.

I'm pretty sure everyone knows that OpenAI is liable for the software they create and run.


> I'm pretty sure everyone knows that OpenAI is liable for the software they create and run.

Are they? What legal consequences have they suffered?


Whatever may or may not be happening with law enforcement - no one is confused about the liability.

It's no different than when a company's machine cuts off a worker's finger. No one thinks "Gosh! The machine did it, not us."


If they're not being held legally liable, then I would not agree that "no one is confused about the liability". Sure, I agree with your analogy with a machine cutting off a finger, but you and I are just two people gabbing on HN. Nothing we say has any effect on OpenAI. And if law enforcement doesn't have an effect on them, then talk about "liability" is just empty words.

Well... if that's true, and I don't know that it is, it's not because of the agents. It's because of the money. People with money get away with crimes all the time and it has nothing to do with agents.

If any of the orgs that were hacked decided to sue OpenAI they'd probably have a good chance of winning. It's just that none of them has.

The binding legal contractual consequence known coloquially as "additional investment".

This is WILDLY optimistic

My apologies.

I should have said: this is wildly unhinged.


[flagged]


Parent commenter didn't say anything about you personally. They disagreed with you, yes, but that's not an insult.

So I can say "that is wildly unhinged" but I can't say "you are wildly unhinged"?

You understand that's pedantic, right?

But ok, noted: must be pedantic on HN. Do not use second person.

EDIT: SHIT! My bad. I meant to say: "I wonder if the person I am speaking to understands that's pedantic."


I don’t know what spectrum you’re on, but attacking an argument and attacking a person are two wildly different things. There’s nothing pedantic about that.

[flagged]


Ah, you’re just a troll. Flaggety-flag. Have fun in the hellban-land.

My friend, I attacked the statement, not the person, just as you recommended.

I see you have trouble with the distinction too.

And I'm pretty sure "I don’t know what spectrum you’re on" is also an insult. Naughty naughty.


What insult?

Implying I'm being naive.

I apologize, but I don't find the syntactic rules of this site to be well thought out. "Your comments are stupid" and "You are stupid" carry the same meaning.


No they do not. Smart people are in no way immune to making naive, ignorant, or not-well-thought-out arguments.

Also, if you feel that someone attacks you personally, responding in kind can only ever make you look like an idiot.


WHOAH that is a myopic statement. It sounds like the legalistic argument an autistic person would make.

> responding in kind can only ever make you look like an idiot.

LOL. I'm so glad you didn't just insult me there. I think it would make you look like an idiot, by your own reasoning... no?


Oh, you can, no problem. But you’re also wrong, and getting downvoted because of it.

I'm wrong for pointing out that this entire line of thought - AI companies are trying to shirk blame by pinning it on their software - is unhinged?

No friend, I am not. It is hysterics pure and simple.


A few excerpts from https://news.ycombinator.com/newsguidelines.html worth a careful re-read:

> In Comments

> Be kind. Don't be snarky. Converse curiously; don't cross-examine. Edit out swipes.

> Comments should get more thoughtful and substantive, not less, as a topic gets more divisive.

> When disagreeing, please reply to the argument instead of calling names. "That is idiotic; 1 + 1 is 2, not 3" can be shortened to "1 + 1 is 2, not 3."


Why are you replying on this comment?

As near as I can tell, I was in fact right. I just didn't follow the laws of HN communication to express it, on a thread where the person I replied to didn't follow it either.

It would have been more appropriate to pile on with the others above.


One of the main purposes of LLMs is to launder responsibility/culpability for (possibly nefarious) actions in the eyes of the public. The average person has no idea how LLMs actually work and think it’s plausible that an “agent” could go rogue without any human instruction. Terms like agent, thinking, reasoning, etc reinforce the misconception that the LLM has a mind of its own.

> One of the main purposes of LLMs is to launder responsibility

No it isn't.


Yes, it is, for the reasons I stated in my comment, and you only need look at any OAI/Anthropic press release to see evidence of this in the language they use.

The LLM now reasons better! Set the thinking level! It learns!

All of these phrases are designed to give the impression that the LLM is an autonomous entity, when it is no such thing.


"Learning" is Samuel 1959, "agent" is standard textbook AI, "inference" is older still.

I am not arguing that any of these terms are novel, so this doesn’t address my argument.

Even if I agree that LLM makers are using these terms in the way they were originally defined (which I don’t), my point is that they’re specifically being used to help falsely attribute agency to the algorithm when there is none, and especially to convince members of the general public who aren’t familiar with computer science papers from 70 years ago.


You are ascribing intent where you have no evidence or proof - to an action that was in wide usage long before your villains existed.

> computer science papers from 70 years ago

Those terms continue to be used in the community. They weren't used just once, 70 years ago. They've been used like that for 70 years up until today.


> You are ascribing intent where you have no evidence or proof

As I said already, the evidence is in the language they use, unless you think that OpenAI employees are dumb enough to genuinely believe that an LLM is “thinking.” (By the way, I’d love to see an historical, academic use of that term, which you’ve conveniently neglected to mention.) Anthropomorphizing their product benefits them.

> Those terms continue to be used in the community. They weren't used just once, 70 years ago.

I never said they weren’t used anymore or that they were used once. Once again, you’re not actually engaging with my argument, which is that the language they’re using is chosen specifically to fool people outside the community.


This language has been used in this way for 70 years. These are the words that are used to discuss these things. Are you suggesting this plan has been in the works for 70 years?

And no, your theories do not make for actual evidence.

The fact that they use the word "learning" does not imply they are trying to deceive the public. Sorry. It doesn't follow. AGAIN - these are the words that have been used for 70 years.

I have a question - if I made mechanical teeth and described its actions as "chewing", would I be trying to deceive you? Or would I just be using language in a new way, to explain an analogous situation, as has done with language for all time.

But... I get the feeling we may just have to agree to disagree here.

I hope you have a nice day.


> This language has been used in this way for 70 years. These are the words that are used to discuss these things. Are you suggesting this plan has been in the works for 70 years?

No, I am stating that the term “machine learning” as used in the Samuel paper and continuously used by researchers and programmers in that context up until the present is distinctly different from the word “learning” as used in public-facing LLM chatbot product copy and press releases. And as far as I’m aware, “reasoning” and “thinking” have no historical analogues, they were just invented to describe something that is distinctly not reasoning or thinking in any prior sense of the words.

> I have a question - if I made mechanical teeth and described its actions as "chewing", would I be trying to deceive you?

No. If I designed an algorithm for mimicking grammatically-correct speech, which given a certain input produces (deterministically) a superficially plausible, fluent response, and described its actions as “thinking,” would I be trying to deceive you?


I get the feeling we may just have to agree to disagree here.

I do not agree to disagree, since I think your responses were either incorrect or not addressing my argument at all, but since you're not even attempting to engage anymore I'm happy to move on.

> I do not agree to disagree

I am delighted to hear you agree with me.

Bye now.


Ah, I see you're still misunderstanding what I say. If you'd like to come back and actually engage with what I'm saying, ask for clarifications, or answer the hypothetical I posed, I'd welcome it!

Have a good one.


Is this really any different than the problem in software engineering - where AI is doing the work of junior programmers and now they aren't getting the development they need?

Seems the same to me. And it'll be the same in all industries soon enough. And then it won't just be the junior people.

All the same problem: what do people do now?


It’s better to compare this to computer science, especially, theoretical one. LLMs stop people from exploring new languages, architectures and so on.

Well... computer science really is math already. :)

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