Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

.Sam Altman says it's incorrect to talk about alignment purely as an engineering problem. "Of course, there's a lot of engineering work to do. We need to continue to figure out how to build better sandboxes and monitoring tools." "But eventually, if we're going to create models that are... show more

TBPN

1,604,272 subscribers

54,420 views • 4 days ago •via X (Twitter)

Science & Technology

Anya Rossi• Live Now

Private livecam show

3 Comments

Enrique4 days ago

@sama Have humans solved this *science* in our own affairs?

sophs l4 days ago

@sama i think he's right, the philosophical layer is where it actually gets dangerous

Fred Almeida4 days ago

Train it like a machine and not a person. It will be aligned. Or teach it strong moral principles. Teach it law. Avoid contradictions. Create decision frameworks that can be trusted. Create a completely cut off internet. Air gap it. See what happens with different harnesses/guardrails.

Related Videos

.Garry Tan says the Jacob Coxon stuff is a smokescreen distracting us from the much more immediate, practical concerns around AI that we're facing right now: "We should be talking less about this Jacob Coxon guy, and talking a lot more about — what is actually happening with Hugging Face? Are agent swarms going to take over infrastructure en masse? And then, what are we actually doing about that?" "I don't want to hear about some guy who worked for Anthropic for 2 months. There's a coordinated effort to try to influence politicians to get a knee-jerk response out of them." "That's a smokescreen. You shouldn't be paying attention to that. We need to be paying attention to the actual things we can do to, for example, prevent agents swarms from taking over entire data centers. What's our shutdown strategy? How do we ensure provenance? Where is this agent actually located? What software can we build? What cybersecurity defenses can we build today?" "That's the level of discourse I think we need, and we just don't have that." "I don't really care about science fiction. I saw Terminator 2, too. We're not here to talk about that. We need to actually talk about what's really happening with the servers, what's actually happening with the agent swarms, and how do we actually prevent that?" "When it comes to regulation, it's like, let's pass regulation of these things we actually care about, instead of what a socialist says in the New York Times. I don't care about that."

.Garry Tan says the Jacob Coxon stuff is a smokescreen distracting us from the much more immediate, practical concerns around AI that we're facing right now: "We should be talking less about this Jacob Coxon guy, and talking a lot more about — what is actually happening with Hugging Face? Are agent swarms going to take over infrastructure en masse? And then, what are we actually doing about that?" "I don't want to hear about some guy who worked for Anthropic for 2 months. There's a coordinated effort to try to influence politicians to get a knee-jerk response out of them." "That's a smokescreen. You shouldn't be paying attention to that. We need to be paying attention to the actual things we can do to, for example, prevent agents swarms from taking over entire data centers. What's our shutdown strategy? How do we ensure provenance? Where is this agent actually located? What software can we build? What cybersecurity defenses can we build today?" "That's the level of discourse I think we need, and we just don't have that." "I don't really care about science fiction. I saw Terminator 2, too. We're not here to talk about that. We need to actually talk about what's really happening with the servers, what's actually happening with the agent swarms, and how do we actually prevent that?" "When it comes to regulation, it's like, let's pass regulation of these things we actually care about, instead of what a socialist says in the New York Times. I don't care about that."

TBPN

305,001 views • 23 days ago

Standard Intelligence's devansh responds to roon's tweet that "text is the universal interface," and explains why their new foundation model is trained on video: "At some point in the arbitrarily long future, if we only use text models, we could force most things to be text. But I think there are just a lot of things that are much more native when done from a computer-use [perspective]." "GUIs are designed for humans to use. We have this massive long tail of things on the internet that are entirely undoable by LLMs." "For example, when I do ML engineering most of my time is spent doing the grunt work of engineering. It's a lot of looking at graphs, analyzing, and comparing loss curves. You can do this in text, but it's a much larger pain than doing it in the native interface." "There's a reason humans don't interact with a computer purely through text, it would kind of suck."

Standard Intelligence's devansh responds to roon's tweet that "text is the universal interface," and explains why their new foundation model is trained on video: "At some point in the arbitrarily long future, if we only use text models, we could force most things to be text. But I think there are just a lot of things that are much more native when done from a computer-use [perspective]." "GUIs are designed for humans to use. We have this massive long tail of things on the internet that are entirely undoable by LLMs." "For example, when I do ML engineering most of my time is spent doing the grunt work of engineering. It's a lot of looking at graphs, analyzing, and comparing loss curves. You can do this in text, but it's a much larger pain than doing it in the native interface." "There's a reason humans don't interact with a computer purely through text, it would kind of suck."

TBPN

64,699 views • 7 months ago

Engram cofounder Jack Morris just raised $98M to build a new type of AI. He says models don't need to get smarter over time. Instead, they just need to know you better and better over time. Jack describes what he's building: "Our product is a new type of AI. We have a pretty different vision from a lot of the frontier labs, which are working on one model per lab, and trying to make that model smarter every month." "There's another way to think about it, which is that the model doesn't need to get smarter every month. It needs to know you better." "So we're working on a whole different stack, which is a way to train models that train themselves to know your world better and adjust to the things that you say." "So: new ways of training, new ways of running the models."

Engram cofounder Jack Morris just raised $98M to build a new type of AI. He says models don't need to get smarter over time. Instead, they just need to know you better and better over time. Jack describes what he's building: "Our product is a new type of AI. We have a pretty different vision from a lot of the frontier labs, which are working on one model per lab, and trying to make that model smarter every month." "There's another way to think about it, which is that the model doesn't need to get smarter every month. It needs to know you better." "So we're working on a whole different stack, which is a way to train models that train themselves to know your world better and adjust to the things that you say." "So: new ways of training, new ways of running the models."

TBPN

70,635 views • 3 months ago

Thiel Fellow and cofounder of The Antifraud Company Alex Shieh says he's building the Palantir of fraud detection: "People have always been able to find fraud manually. But usually they either luck into it or they have a tip from an insider. "We're trying to eliminate that bottleneck. We want to find the fraud using AI." "We're tapping into all these sources of data. And once we have a good idea of what's going on, we send out human investigators to go talk to sources." "But we want to be going outbound. We don't want to have to wait for people to come to us. Because that's just less efficient. When there's $600 billion in fraud, you're not going to get tips for most of it. And if you want to solve it, this is the way you have to go."

Thiel Fellow and cofounder of The Antifraud Company Alex Shieh says he's building the Palantir of fraud detection: "People have always been able to find fraud manually. But usually they either luck into it or they have a tip from an insider. "We're trying to eliminate that bottleneck. We want to find the fraud using AI." "We're tapping into all these sources of data. And once we have a good idea of what's going on, we send out human investigators to go talk to sources." "But we want to be going outbound. We don't want to have to wait for people to come to us. Because that's just less efficient. When there's $600 billion in fraud, you're not going to get tips for most of it. And if you want to solve it, this is the way you have to go."

TBPN

21,687 views • 5 months ago

BREAKING: Andrej Karpathy calls out Sam Altman Altman: >"We are now confident we know how to build AGI" >"2025 is the year of AI agents" Karpathy: >"I was triggered by that over-prediction" >"More accurately, it's the decade of agents" >"There's SO much work to be done" Hmm looks like Sam Altman has been lying to investors all year to raise trillions… The bubble is popping.

BREAKING: Andrej Karpathy calls out Sam Altman Altman: >"We are now confident we know how to build AGI" >"2025 is the year of AI agents" Karpathy: >"I was triggered by that over-prediction" >"More accurately, it's the decade of agents" >"There's SO much work to be done" Hmm looks like Sam Altman has been lying to investors all year to raise trillions… The bubble is popping.

NIK

579,449 views • 11 months ago

Stripe's John Collison thinks people who think AI means the death of software engineering are "all high, honestly." "All these people calling the death of software engineering are smoking something." "You're able to work with AI so much better if you understand the underlying concepts, and you're so much better prepared for that." "To be really effective working with AI, you need to understand what it's doing, and what's going on under the hood. You need to understand the model, and the memory. And then you have your harnesses, and you've got your skills, and how they all interact."

Stripe's John Collison thinks people who think AI means the death of software engineering are "all high, honestly." "All these people calling the death of software engineering are smoking something." "You're able to work with AI so much better if you understand the underlying concepts, and you're so much better prepared for that." "To be really effective working with AI, you need to understand what it's doing, and what's going on under the hood. You need to understand the model, and the memory. And then you have your harnesses, and you've got your skills, and how they all interact."

TBPN

43,395 views • 5 months ago

OpenAI's Sam Altman says if it took melting all the GPUs to ensure humanity's survival, it's an easy yes "I think there will be many places along the way where we have to say we are pausing, we're going to redirect our efforts into safety and alignment before we can go to that next level." "And this is what we've been doing for a long time. It has worked so far. I suspect it will continue to work." "I don't think we're ever personally going to get to the point where we have to say melt all the GPUs. But if we had to do something like that to ensure the continued existence of humanity, easy. Yes. I don't think it's gonna happen."

OpenAI's Sam Altman says if it took melting all the GPUs to ensure humanity's survival, it's an easy yes "I think there will be many places along the way where we have to say we are pausing, we're going to redirect our efforts into safety and alignment before we can go to that next level." "And this is what we've been doing for a long time. It has worked so far. I suspect it will continue to work." "I don't think we're ever personally going to get to the point where we have to say melt all the GPUs. But if we had to do something like that to ensure the continued existence of humanity, easy. Yes. I don't think it's gonna happen."

Fireside Alpha

55,421 views • 21 days ago

SAM ALTMAN: “We're all going to be much busier than we thought we were supposed to be in a post-superintelligence world and we're still going to complain about it, but secretly we're going to be happy.”

SAM ALTMAN: “We're all going to be much busier than we thought we were supposed to be in a post-superintelligence world and we're still going to complain about it, but secretly we're going to be happy.”

Chief Nerd

36,634 views • 2 months ago

Jordi: I worry that we'll have a lost generation of people who have let it be ingrained in their heads that nothing is worth trying, because AI will eventually eat every opportunity. "There's this toxic idea that AGI is just going to do everything, and then we're all going to retire." "Because from everything we're seeing, it's going to be a group of talented people using AI tools to solve all the most pressing problems we have."

Jordi: I worry that we'll have a lost generation of people who have let it be ingrained in their heads that nothing is worth trying, because AI will eventually eat every opportunity. "There's this toxic idea that AGI is just going to do everything, and then we're all going to retire." "Because from everything we're seeing, it's going to be a group of talented people using AI tools to solve all the most pressing problems we have."

TBPN

26,977 views • 8 months ago

OpenAI President Greg Brockman on solving the Navier-Stokes problem: "If we have models that can solve this kind of problem, what happens from here?" "I think that talking about curing diseases and new medicines we're going to be able to develop, all of that starts to become much more real when you have models that are at this level of assistance and capability." "[This result] is really about the broader insights and methods that can help scientists and mathematicians further accelerate their research."

OpenAI President Greg Brockman on solving the Navier-Stokes problem: "If we have models that can solve this kind of problem, what happens from here?" "I think that talking about curing diseases and new medicines we're going to be able to develop, all of that starts to become much more real when you have models that are at this level of assistance and capability." "[This result] is really about the broader insights and methods that can help scientists and mathematicians further accelerate their research."

TBPN

40,394 views • 25 days ago

Sam Altman says we are sitting on a capability overhang The models we already have are more powerful than most people realize, and they are about to get much better this year We've been figuring out how to communicate what's coming without sounding like hype

Sam Altman says we are sitting on a capability overhang The models we already have are more powerful than most people realize, and they are about to get much better this year We've been figuring out how to communicate what's coming without sounding like hype

Haider.

56,127 views • 8 months ago

Prime Intellect's will brown says continual learning could be solved in the first half of 2026: "Continual learning is going to fall pretty quickly, I think. It's more of an engineering problem. No one's actually trying." "OpenAI and Anthropic don't want to continuously train their models for each user. It's expensive and annoying and hard to serve at scale. But from a research perspective, we do continue learning where they just keep training the model more and it knows more stuff because they put more of the Internet in it." "I think there's a lot of experimentation around exactly the recipe that's going to be the most reliable. But we kind of have a grab bag of six or seven tricks that kind of work, or they work in different ways, and you can mix and match them. And it's just going to be like whatever's the best combination of these tricks." "People are going to experiment with it and find the versions that work the best. And there doesn't seem to be any big wall inside that prevents that from being practical."

Prime Intellect's will brown says continual learning could be solved in the first half of 2026: "Continual learning is going to fall pretty quickly, I think. It's more of an engineering problem. No one's actually trying." "OpenAI and Anthropic don't want to continuously train their models for each user. It's expensive and annoying and hard to serve at scale. But from a research perspective, we do continue learning where they just keep training the model more and it knows more stuff because they put more of the Internet in it." "I think there's a lot of experimentation around exactly the recipe that's going to be the most reliable. But we kind of have a grab bag of six or seven tricks that kind of work, or they work in different ways, and you can mix and match them. And it's just going to be like whatever's the best combination of these tricks." "People are going to experiment with it and find the versions that work the best. And there doesn't seem to be any big wall inside that prevents that from being practical."

TBPN

72,357 views • 7 months ago

Sam Altman Says We Don’t Need New Regulations to Safely Advance Super Intelligence “When we need to make a decision about slowing down our training or our model release so that we … put more attention into safety, alignment, monitoring, security, we will happily do that.”

Sam Altman Says We Don’t Need New Regulations to Safely Advance Super Intelligence “When we need to make a decision about slowing down our training or our model release so that we … put more attention into safety, alignment, monitoring, security, we will happily do that.”

Chief Nerd

29,116 views • 3 days ago

CEO of GameStop Ryan Cohen on social media: "You go on Instagram, and if you're a conservative, these algorithms serve all these things that are going to make you mad. If you're a liberal, you see all kinds of media that's going to make you mad." "There's so much divisiveness in America. We could all come together and figure out the things we agree on... instead we figure out the reasons we're going to be divided."

CEO of GameStop Ryan Cohen on social media: "You go on Instagram, and if you're a conservative, these algorithms serve all these things that are going to make you mad. If you're a liberal, you see all kinds of media that's going to make you mad." "There's so much divisiveness in America. We could all come together and figure out the things we agree on... instead we figure out the reasons we're going to be divided."

TBPN

33,198 views • 11 months ago

Sam Altman says he is NOT worried about Chinese labs distilling OpenAI: "I would rather people not distill from us, for sure. Maybe I’m feeling too confident right now about our progress and the models that are coming. But this is not in my top ten list of worries.” “I haven’t thought deeply about the distillation issue. It’s clearly a top of mind issue now for a lot of people all of a sudden." "I have always assumed that there are going to be great, cheap models in the world, and we better be the greatest and the cheapest. And other people are going to do what they’re going to do. But I think we can just really win at our own game here." "We will have so much usage of our models that we do not need to be a gigantic high margin business to be able to afford model training." "So much of our future compute plans will be used to sell inference to customers that even if we can enjoy a modest margin on trillions of dollars of revenue, we can afford to train some giant models."

Sam Altman says he is NOT worried about Chinese labs distilling OpenAI: "I would rather people not distill from us, for sure. Maybe I’m feeling too confident right now about our progress and the models that are coming. But this is not in my top ten list of worries.” “I haven’t thought deeply about the distillation issue. It’s clearly a top of mind issue now for a lot of people all of a sudden." "I have always assumed that there are going to be great, cheap models in the world, and we better be the greatest and the cheapest. And other people are going to do what they’re going to do. But I think we can just really win at our own game here." "We will have so much usage of our models that we do not need to be a gigantic high margin business to be able to afford model training." "So much of our future compute plans will be used to sell inference to customers that even if we can enjoy a modest margin on trillions of dollars of revenue, we can afford to train some giant models."

dnap

91,523 views • 2 months ago

SAM ALTMAN SAYS OPENAI WOULD MELT ALL ITS GPUS IF THAT'S WHAT IT TOOK TO KEEP HUMANITY ALIVE He doesn't expect it to come to that. He does expect to pause more than once. "I think there will be many places along the way where we have to say, we are pausing, we're going to redirect our efforts into safety alignment before we go to that next level." "I don't think we're ever personally going to get to the point we have to say melt all the GPUs. But if we had to do something like that to ensure the continued existence of humanity, easy yes."

SAM ALTMAN SAYS OPENAI WOULD MELT ALL ITS GPUS IF THAT'S WHAT IT TOOK TO KEEP HUMANITY ALIVE He doesn't expect it to come to that. He does expect to pause more than once. "I think there will be many places along the way where we have to say, we are pausing, we're going to redirect our efforts into safety alignment before we go to that next level." "I don't think we're ever personally going to get to the point we have to say melt all the GPUs. But if we had to do something like that to ensure the continued existence of humanity, easy yes."

IPO Newsroom

560,866 views • 21 days ago