Zico Colter
speaker
161 appearances
1 recordings
1 series
first heard Sep 2024
last heard Sep 2024
Zico Colter’s voice in public audio — every appearance, attributed to the second.
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Appearances
That's not how these models actually work. These models are trained once on a very large collection of data. And if you use some of the things like API access and stuff like that, your data's not going to be trained. The model will not be retrained on that. And even if it was, That is not the same thing. The fact that a model can answer your question does not mean the model is training on it.
This is honestly just very simple levels of misunderstanding, I think, that a lot of people have a very hard time getting over. And I still see these misconceptions when I talk with companies. So it's not like we've done, in some sense, maybe a very bad job of marketing because we just don't really always, people don't really understand at some level, sort of, this is not...
in certain use cases, any riskier than just having your data in the cloud to begin with, which all of them typically do. They've all moved that way. So I think this will just happen naturally with progression of time.
The thing that frustrates me most, honestly speaking, is the degree of certainty that some people have about whether we will definitely get there very, very soon or even more on the flip side, that there's absolutely no way that we will ever achieve AGI with these current models because of X, Y, Z, right? This does actually kind of start to irk me a little bit.
Because I personally, even as a product of the AI winter skepticism, I see what's happening in these models. And I am amazed by it. And the people that have been sort of ringing this bell for a while and saying, look, this is coming. They've, in many cases, in my view, been proven right. And I've updated my sort of posterior beliefs based upon the evidence I've seen.
And so what irks me the most about a lot of people's philosophy of AGI is that, to a certain extent, how little it seems like observable evidence has changed their beliefs one iota. They had certain beliefs about what it would take to get to general AI, or maybe that AI was impossible by definition, or AGI was impossible by definition. And they kind of maintained those beliefs, in my view,
in the face of overwhelming evidence, at least pointing to contrary outcomes.
Yeah, so I have a huge number of concerns here and sort of different tiers of concerns, I would say. Let's talk about misinformation, deep fakes, in general, kind of using these tools to proliferate different kinds of misinformation. This is a massive concern, of course, and I am deeply, deeply worried about this.
But the net result of this outcome is not going to be that people start to believe everything that they see in misinformation. The real negative outcome is that people are not going to believe anything that they see anymore, right? So
arguably, we are already well along this way, or well along this path already, where people basically don't believe anything that they read or that they see or anything else that doesn't already conform to their current beliefs. It didn't even need AI to get there. But AI is absolutely an accelerant for this process. What I will say, though, this is not a new phenomenon.
This is actually the human condition as we evolved. It is a relatively new phenomenon that we have a record of objective fact in the world. I mean, things like video didn't exist more than 100 years ago. Humans evolved at a time during an environment where all we could do was trust our close associates. That's how we believed things.
It's in some ways, we see it as tragic right now that we are maybe no longer in a world where we have a record of objective truth. But in another sense, maybe we're just getting back to kind of the world that we used to live in, where all we could do was trust our close associates about what we believe about the world.
Yeah. I mean, so obviously there are massive negative externalities, but we did evolve knowledge very well at a time before video, right? Before videos existed, we still made scientific progress. So there will be groups that decide that the certain bodies of scientific knowledge are valuable and they will advance them.
even in light of large other portions of the population, which have existed throughout all of history too, that don't value those scientific advances or think differently about the nature of scientific advances. We are already in this world, right? This is the world we already live in.
I think it is definitely an accelerant and a shame that this sort of puts us more toward the camp of failing to have an objective reality. But humans, it's arguably our natural state is to not agree on the nature of objective reality.
You could argue that it's going to be a whole group of people that don't believe anything the New York Times says. There is already that group, by the way. There's plenty of countries where they would not believe anything that's published in the New York Times, right? So we're already there to a certain extent.
And I think, yes, we will need to rely arguably more on groups, but also sort of their associated belief structures about this. But this is the human condition to a certain extent. Not to get too philosophical here, but this is how we've always kind of had to be.
Video is a short blip where we sort of think that there's some objective evidence for 100 years of our history, and that's going to be now. That's no longer true pretty soon.
There are some things I believe that should not be shared on social media. And by the way, everyone else agrees with this too, right? There's obviously content that is outright considered illegal that you cannot post to social media. Everyone agrees on this.
Everyone also agrees that, well, not everyone, but a lot of people also agree that in general, there should not be a requirement to conform to certain ideologies and opinions if you want to express yourself on social media.
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