AGI systems like those developed by OpenAI operate as 'black boxes' where even their creators cannot fully explain how the models work internally, creating significant transparency and safety concerns about hidden information transmission and unpredictable emergent behaviors.
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Sam Altman WARNS Us: "The 2030 AGI And How does Your Job Affect"Ajouté :
the CEO of the company said, "We are now going to put AI into everything we do and I'm going to like this is magic AGI moments." Opify was the first CEO I knew that just said like we are going to be all in on AI and the way we run our and I don't know how the world is going to decide the trade-offs on data privacy versus AI efficiency. Work with them to automate their job um as much of it as they can. You don't run Boeing, right?
You run Open AI. Totally >> guys. Sam Alman just revealed the exact moment he realized AGI was becoming a reality. He described a breakthrough in coding models as a magic moment where the technology finally crossed a threshold that changed everything for product designers. When Sam uses words like magic, he's trying to sell us a dream. It sounds amazing, but we have to remember that this magic is built on massive amounts of data and compute power that most of us will never control. Is it a miracle or just a really good marketing pitch to keep us hyped for OpenAI's next big thing? Let's watch the clip and you decide.
>> Um, OpenClaw has been one of my biggest like this is magic AGI moments ever in the field. Uh, I I remember the first time someone told me about it, they were trying to explain it and I was like, okay, like those all that all sounds cool, but you know, I can like make a lot of that work. And then it was a real reminder how when when the models cross some threshold and also the product designer gets a handful of critical ideas really right, it's like a much more magical experience than it than it sounds like. So this is like a very embarrassing thing to admit. The thing I always try first, perfect place.
Um, the thing I always try first with a new like a new kind of AI system of any sort is to I'm like a home automation nerd >> and so to like try to build a better home automation interface system because it's all it never works like it never is good.
>> Um, and OpenClaw was the first time that I was able to get like a setup that I was happy with. Um, I also built a messaging app that I had always wanted to work. I've since switched it to something I built with codecs, but OpenCloud was the first time I was able to like I'm sure like you it like feel like drowning in messages and it's like this very unpleasant task to wake up in the morning have to go through all this stuff. So I was like all right I'm finally going to be able to automate this and that was like again should have been doable with previous systems. Hard to explain like what it's like when it all actually just works and you trust that it's going to work. I asked my agent to go and buy itself a gift just anything on the internet uh for under $20. Um and it uh it it chose to buy itself uh an HTTP design from uh from Gumroad.
Wow.
Yeah. There's all of the there's all this stuff that like feels no matter intellect no matter how much how convinced you are intellectually that this is like not a real thing wanting a real gift for itself and no matter how much you're convinced like okay this is like a weird emergent behavior and I'm not supposed to read into this >> guys Sam Alman just shared an eyeopening story about Shopify CEO Toby Litgate.
Altman says Toby was the first leader he knew to go completely allin on AI, personally coding automation for almost every part of the business and forcing his whole team to do the same. But here is the scary part. If a CEO can personally automate everything, what happens to the thousands of employees working there? This isn't just about efficiency. It's a blueprint for a future where human roles are rapidly becoming obsolete. We're watching the transition from human-run companies to AIdriven machines in real time. Let's watch the clip and see what you think.
Um, a friend of both of ours, uh, Toby Lucky of Shopify was the first CEO I knew that just said like, "We are going to be all in on AI and the way we run our company." And he got himself got his hands dirty just building like AI automation of everything. And made his team do it.
>> Um, and, you know, said, "We're just going to figure out how we take all these things that are bad and make them good with AI." And it was not like, you know, a token leaderboard. It was not some other kind of like gamified hackable thing. It was just like the CEO of the company said, "We are now going to put AI into everything you do and I'm going to like not be happy with you, I guess, or we're not, you know, we're not going to allow it if you're not doing that." So, that energy has now been done by other people. But when um when the CEO of a company just says like we're going to automate ourselves, accelerate ourselves, however they phrase it, internally um and then really holds people to it and ideally does it themselves. Um that has worked very well. Uh, I think we're going to try this new experiment where we start sending like an FTE to work with like hands-on just whatever the CEO of a company needs work with them to automate their job. Um, as much of it as they can and that I think will have like if you just do it for the leader of a company, there's like a nice fractal effect throughout the company. So that works and we'll try to help companies do that.
Um, a second thing is being like uncomfortably permissive with data access. Um, there's huge reasons not to do this and I'm not this is like I'm stopping short of recommendation. You just ask what I've seen from the most effective companies.
um this is easier for small startups than companies that have a lot of sensitive data and a lot of um you know like process and compliance in place but saying like you know what we are going to record our meetings we are going to like let this AI have access to our codebase we are going to let this have access to every Slack message every email everything and every employee at the company is going to get to use it that way like it is amazing watching these two or three startups and AI doing everything work.
Um, and I don't know how the world is going to decide the trade-offs on data privacy versus AI efficiency.
>> In the following part, Sam Alman just gave a chilling interview where he admitted that Open AI doesn't fully understand the physics of their own models. When the host asked if these AIs are communicating hidden information with each other that humans can't even see, Sam's reaction was incredibly suspicious. He literally says he'd give a different answer now, but then stops short of explaining. This is peak blackbox territory. Look at his body language. He looks away and completely dodges the question. It feels like Sam knows exactly how these models are talking behind our backs, but he knows if he tells the truth, the world would panic. It's terrifying that the person in charge of our future is hiding the most dangerous parts of the tech. Let's watch the clip and see if you catch his hesitation. out where if you tell a model that it likes owls and owls are the most wonderful bird and then you have it generate a bunch of random numbers and you take those random numbers and you put them into a new model. That new model likes owls which is crazy and you ask it to write a poem and it writes a poem about owls. But all you've given it are numbers. Which means both that these things are deeply mysterious.
And it also makes me worried because obviously you could be not telling it to like owls. You could be telling it to shoot owls. You could be telling it all kinds of things. So explain what happened in that study, what it means, and what the implications are.
>> When I was in fifth grade, I got really excited cuz I thought I knew how airplane wings worked. My science teacher explained it to me and uh you know I felt so cool. I was like oh yeah the air molecules have to go faster across the top of the wing and you know that creates lower pressure and the wing gets pulled up and you know I looked at this very convincing diagram in like a fifth grade science textbook and I just felt awesome. I'm sure I came home that day and I told my parents like I understand how airplane wings work. And then it hit me later, I think in high school physics, that I had been repeating to myself this thing in my head about how an airplane wings work and you know the air molecules go faster across the top.
I actually had no idea. I didn't understand how airplane wings work at all. I don't really understand how they work now.
>> Yeah.
>> I could explain it at some reasonable level, but like if you drilled me all the way down to like exactly why do those air molecules go faster across the top of the wing?
>> Yeah.
>> I don't think I could like give you a deep and satisfying answer.
I could give you a bunch of answers about why people here think that that result about owls happens the way it does. And I could point to like, oh yeah, you know, there's like this thing about that and this thing about that and they would all sound like reasonably convincing. But the honest answer is in the same way that I don't really understand why a wing flies.
>> But Tim, you don't run Boeing, right?
You run OpenAI.
>> Totally. Um, I can tell you a lot about other things like I can tell you about how we put how we get a model to perform to a specified level um of reliability and robustness.
>> Yeah.
>> Um, but there are mysteries of the physics here. I can tell you how to like maybe if I ran bowling I could tell you how to build an airplane, but I couldn't like perfectly understand all the physics.
>> So let let's go through that owl thing.
So let's talk about the implications. So if indeed these models transmit knowledge to each other that is hidden and that is not viewable like you could have a train of thought that is like we're inputting this number sequence and somebody could watch it and say oh look look at those numbers going by and you would have no idea that it's conveying this information about owls could end up being dangerous problematic weird so when I said I would give an answer now to Patrick Hollison's question yeah >> that gets at what I would say um at the time you said it was 3 years ago Yeah, my understanding of the world 3 years ago would have been we have got to figure out how to align our models and if we can align our models and if we can prevent them from falling into the hands of bad actors, we should be pretty safe. Those were kind of the two threat models that I thought most about you know we don't want the AI to decide it wants to do ill to us. We don't want someone to use the AI to do ill to us.
And if we can avoid those, you know, yes, we got to figure out the future of the economy and yes, we got to figure out the future of meaning, but we'll we'll be okay. As time has gone on and as we learn more, um, I can now see such a different set of problems. A way we've started talking about this, uh, is like AI resilience instead of AI safety. Mhm.
>> There are the obvious cases like it no longer seems like it'll be enough to just make sure that the frontier labs do a good job of aligning their models to tell people how to not make a bioweapon to not tell people how to make a boweapon because they'll be good open source models and society is going to need a series of defense shields if we don't want novel pandemics. It's clear Sam Alman is selling us a future he doesn't even fully understand. He calls it magic and pushes for total automation, but then dodges the most dangerous questions about hidden AI communication. This is the ultimate red flag. Sam wants the world to embrace a black box that he admits he can't explain. We're being told to hand over our jobs and our society to a technology that is already moving beyond human oversight. Is Sam building a better world? Or is he just the salesman for a machine we can no longer control? We need transparency, not magic. What do you think? Is Sam leading us or just misleading us? Drop a comment below.
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