James Cameron on AI: “I warned you guys in 1984 and you didn’t listen”::undefined
It’s getting old telling people this, but… the AI that we have right now? Isn’t even really AI. It’s certainly not anything like in the movies. It’s just pattern-recognition algorithms. It doesn’t know or understand anything and it has no context. It can’t tell the difference between a truth and a lie, and it doesn’t know what a finger is. It just paints amalgamations of things it’s already seen, or throws together things that seem common to it— with no filter nor sense of “that can’t be correct”.
I’m not saying there’s nothing to be afraid of concerning today’s “AI”, but it’s not comparable to movie/book AI.
Edit: The replies annoy me. It’s just the same thing all over again— everything I said seems to have went right over most peoples’ heads. If you don’t know what today’s “AI” is, then please stop assuming about what it is. Your imagination is way more interesting than what we actually have right now. This is why we should have never called what we have now “AI” in the first place— same reason we should never have called things “black holes”. You take a misnomer and your imagination goes wild, and none of it is factual.
Isn’t that also referred to as Virtual Intelligence vs Artificial Intelligence? What we have now I’d just very well trained VI. It’s not AI because it only outputs variations of what’s it been trained using algorithms, right? Actual AI would be capable of generating information entirely distinct from any inputs.
I really think the only thing to be concerned of is human bad actors with AI and not AI. AI alignment will be significantly easier than human alignment as we are for sure not aligned and it is not even our nature to be aligned.
I just listened to 2 different takes on AI by true experts and it’s way more than what you’re saying. If the AI doesn’t have good goals programmed in, we’re fucked.It’s also being controlled by huge corporations that decide what those goals are. Judging from the past, this is not good.
If the AI doesn’t have good goals programmed in, we’re fucked
When they built a new building at my college they decided to to use “AI” (back when SunOS ruled the world) to determine the most efficient route for the elevator to take.
The parameter they gave it to measure was “how long does each wait to get to their floor”. So it optimized for that and found it could get it down to 0 by never letting anyone get on, so they never got to their floor, so their wait time was unset (which = 0).
They tweaked the parameters to ensure everyone got to their floor and as far as I can tell it worked well. I never had to wait much for an elevator.
Not much, because it turns out there’s more to AI than a hypothetical sum of what we already created.
That type of reductionism isn’t really helpful. You can describe the human brain to also just be pattern recognition algorithms. But doing that many times, at different levels, apparently gets you functional brains.
Mate, a bad actor could put today’s LLM, face recognition softwares and functionality into an armed drone, show it a picture of Sara Connor and tell it to go hunting and it would be able to handle the rest. We are just about there. Call it what you want.
I’m not saying there’s nothing to be afraid of concerning today’s “AI”, but it’s not comparable to movie/book AI.
THANK YOU. What we have today is amazing, but there’s still a massive gulf to cross before we arrive at artificial general intelligence.
What we have today is the equivalent of a four-year-old given a whole bunch of physics equations and then being told “hey, can you come up with something that looks like this?” It has no understanding besides “I see squiggly shape in A and squiggly shape in B, so I’ll copy squiggly shape onto C”.
Regardless of if its true AI or not (I understand its just machine learning) Cameron’s sentiment is still mostly true. The Terminator in the original film wasn’t some digital being with true intelligence, it was just a machine designed with a single goal. There was no reasoning or planning really, just an algorithm that said "get weapons, kill Sarah Connor. It wasn’t far off from an Boston Dynamics robot using machine learning to complete a task.
You don’t understand. Our current AI? Doesn’t know the difference between an object and a painting. Furthermore, everything it perceives is “normal and true”. You give it bad data and suddenly it’s broken. And “giving it bad data” is way easier than it sounds. A “functioning” AI (like a Terminator) requires the ability to “understand” and scrutinize— not just copy what others tell it without any context or understanding, and combine results.
GAI - General Artificial Intelligence is what most people jump too. And, for those wondering, that’s the beginning of the end game type. That’s the kind that will understand context. The ability to ‘think’ on its own with little to no input from humans. What we have now is basically autocorrect on super steroids.
And we were warned about Perceptron in the 1950s. Fact of the matter is, this shit is still just a parlor trick and doesn’t count as “intelligence” in any classical sense whatsoever. Guessing the next word in a sentence because hundreds of millions of examples tell it to isn’t really that amazing. Call me when any of these systems actually comprehend the prompts they’re given.
EXACTLY THIS. it’s a really good parrot and anybody who thinks they can fire all their human staff and replace with ChatGPT is in for a world of hurt.
Not if most their staff were pretty shitty parrots and the job is essentially just parroting…
At first blush, this is one of those things that most people assume is true. But one of the problems here is that a human can comprehend what is being asked in, say, a support ticket. So while an LLM might find a useful prompt and then spit out a reply that may pr may not be correct, a human can actually deeply understand what’s being asked, then select an auto-reply from a drop down menu.
Making things worse for the LLM side of things, that person doesn’t consume absolutely insane amounts of power to be trained to reply. Neither do most of the traditional “chatbot” systems that have been around for 20 years or so. Which begs the question, why use an LLM that is as likely to get something wrong as it is to get it right when existing systems have been honed over decades to get it right almost all of the time?
If the work being undertaken is translating text from one language to another, LLMs do an incredible job. Because guessing the next word based on hundreds of millions of samples is a uniquely good way to guess at translations. And that’s good enough almost all of the time. But asking it to write marketing copy for your newest Widget from WidgetCo? That’s going to take extremely skilled prompt writers, and equally skilled reviewers. So in that case the only thing you’re really saving is the amount of wall clock time for a human to type something. Not really a dramatic savings, TBH.
The real question is how much time do we have before a Roomba goes goes back in time to kill mother of someone who was littering to much?
I’m not afraid of Ai, I’m afraid of greedy capitalist mfs who owns the AI.
James Cameron WOULD make this about James Cameron.
