YouSaid · the spoken record

Ethan Mollick

lines on the record: 77
first: 2024-07-31
most recent: 2024-07-31
sittings or episodes: 1
sources: podcast

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“I think OpenAI abandons products like crazy. I think these products are passion projects from various people. Again, they want to build the machine god. If you have any talented people, you're going to have them building the next technology for AGI. If you have staff, that's what you throw it at. If you have compute, that's what you throw it at. I mean, they're incidentally making $3 billion run rate this year, I think, by like just accidents. But there isn't really a product there right now. It's the chat bot and the API and the system gets smarter, solve more problems. I think a lot of people in this space are just assuming scale solves issues. So why would I or development solves issues? So why would I bother spending some time that give out, you know, how to productize this when the product would be obsolete in a year anyway?”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“The main area almost all the documentation is technical documentation, and almost all the interested use cases are not being discovered by technologists who are actually quite bad at using AI often because it doesn't work like a normal technology. They're being discovered by end users, managers, and the system's not built for those things. So there's just this huge gap between technology and use.”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“I think that's such an important question. There is just the products being released are just super weird, right? Like I think there's very little consideration of use cases. I mean, you look at the number of people inside these organizations who've worked at large companies. I often joke when I go to the West Coast, there's like, you know, it's all like cold plunges and how do you live forever and really, you know, and then in the East Coast, it's like we're drinking coffee until we die. And the goal is get our work done, get home. In a large company, it's very different. And there's a lot of contempt, I think, for large companies. That's where most smart people are, right, are in large organizations doing other work that is not Silicon Valley work. For every coder, there are 16 managers. I think that there's not a sense of what this stuff does for them. And as a result, there's a lot of half-built products that are brilliant and then get walked away from code interpreter is a huge world-changing product for data analysts that got partially abandoned by OpenAI that haven't moved the needle in that since. Chatbots and APIs remain.”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“An empirical result from a bunch of studies, companies that Zoom only gets you so far. The average distance between a VC and a company invests in is about 40 miles. That's because when you look at where VCs spend their time, it's networking and it's monitoring. It's networking and learning about companies and then it's monitoring the portfolio companies. And that's much easier when you're local. Zoom doesn't let you do monitoring the same way. In fact, when a direct flight is added between SFO and another city, VC investment in that city goes up because it's just easier to fly there and help do monitoring there. It's a local business, right? Everyone's like, oh, it's global, it's connected. It's a local business.”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“US thing. London did okay for a while there. But aside from that, more money went to graduates from Penn, from the school I teach at than everybody in France and Germany put together. We already have a whole bunch of innovation ecosystem problems in place. Regulation is one of them. I think a lot of people are pointing at EU regulation being like, this is the cause. There's a multi-causal problem here in terms of Europe versus the US on technology development. Everyone moves to Silicon Valley because you kind of have to. And all the stats show that's actually a really good idea for almost every venture. There's a machine here that keeps working, right? And so to go back to the bigger issue, I think a lot of putting a lot of tight regulation on AI at the beginning is definitely an issue because Lama breaches the high security risk level in terms of number of flops with the EU.”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“I mean, I think that not being fast and reactive is a problem, right? You want to have people develop this new technology, you want to develop by the societies that you want to develop these technologies in. Like you want to be used in democratic ways. All of that stuff indicates we want to see continued growth. It just feels like it's either or for so many conversations. Like either there's no regulation and no scrutiny whatsoever in technology always benefits everybody. And technology optimists, like it does benefit people, but like it's weird to have no downside risk. On the other hand, you have the, we must regulate in advance to stop a bunch of harms that haven't occurred yet and that the current levels of models clearly will not cause, right? We're not going to get a runaway superintelligence from a llama 3.1. So we have to have some sort of balance here. I think the EU has definitely put in a lot of stringent things in place. I don't know whether Europe would be leading in AI anyway. I mean, there's a weird ecosystem problem. Talk about, you know, 20 BC. VC is always been.”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“World one way or another. There doesn't seem to be. To me, a really responsible view would be sure, let's release open source, but then let's be watching over the next six months to get a sense of what this is good or bad at and react to it. And that's what's worrying me a little bit.”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“I think that we need to be built for fast reaction to these models. What I'm worried, so there's Joshua Gans, who's a professor at University of Toronto, I think has a really nice model for AI regulation that I think is probably right, which is when you have a new technology, you don't know what the problems and issues are going to be, you do fast follow-up regulation. You don't try and pre-regulate because you don't know what it's good or bad at, but you do watch what's happening and have rules that you put into place and policies and fast reaction. Now, we can talk all about how government's not built to do that, how it's not cooperating well with industry. That's the same way if you think about open source right now. So we've just released a very powerful model open source. Who is setting up to learn for what the implications of this are going to be? And do they have a pipeline back to the open source makers of these models? Is there something that would stop meta? Is there an event that would stop meta from outsourcing from open sourcing its models? I don't know. Who's watching that stuff? Is there any kind of monitoring system out there to find out how this is disrupting the”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“Very expensive to spear fish somebody. This does spear fish at scale. What do we feel about that? Like you could do this. These systems are going to be harnessed for very good catfishing campaigns. How do we feel about that stuff? I just feel like there's not this conversation. So I think the open models both carry risk and reward. I don't think there's a lot of thought going into this stuff. I think it's all corporate strategy at this point, right? So Meta doesn't really want to make money from models. So they're going to spoil their rivals. Microsoft has a chance to go after Google, so it adds AI into Bing. Like there's a lot of back and forth among a few firms. And I don't think we actually know the full meaning of open source AI. And it's a little weird to both say it's super powerful and can do everything. And therefore, it's high risk. And also, it's not that big a deal.”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“I am generally in favor of technological progress, and I think that openness frees people to do lots of really interesting things. There's a very obvious low-hanging fruit with AI and healthcare and education that I think are going to be very helpful in large parts of the world don't have access to good doctors or good tutors, right? For places that do have access to that, there's a lot more nuanced discussion about when do you turn to AI for some of these things. So I think open models will make a big difference. They'll spark entrepreneurship. We know that people who get advice from AI do better as founders in Kenya if they're already doing well. There's a lot of really exciting stuff here about openness, but there's also downside risks, and it feels very weird for people to say like it's all one thing or another. I do think that open models will immediately have their guardrails breached. And we already know three or four low-hanging threats. I think people are overly worried about science fiction threats, right? It's not good enough to help you build a virus at this point, but it could be in the future. We just don't know. But what I am worried about is our entire computer security system depends on it being...”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“There's not even a disadvantage, like there's not even a set of points about what AI is good and what it's bad at. As a result, I would call it documentation by rumor. It's a bunch of people on Twitter. There's like 17 people posting about how they're figuring out how LMs work. And then everybody else is just kind of using it like a chatbot. It is a very weird situation.”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“I think that if you talk to Silicon Valley people, they are very obsessed with the race for superintelligence. And I totally get it, right? If you could build a machine god, you win. So that's kind of the secret story behind what's going on here. So there's a real belief that if Scale solves everything, the biggest thing you could do to waste your time is do anything that isn't scaling. You're smartest people have to be scaling. All of your compute has to be scaling. And the bigger models will solve all problems, as you were saying. That's a sort of view in Silicon Valley. So they're going to come back and figure this out later because why would you bother? And there's some truth to that, right? I spoke to a very large financial institution, spent a huge amount of money building a GPT-3 powered sales assistant tool that as soon as ChatGVD came out was instantly obsolete, right? So like, why bother with this guy? I mean, it was a smart idea at the time. They were way ahead of the curve, right? But I think that the real issue is that as a result, all use of this stuff has kind of been dropped, right? There is no manual out there for this stuff.”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“This thing that can make power go back and forth. How do I create the gearing to connect that to my, you know, my spinning Jenny, my ammunition manufacturing machine, my bottle shaping tool? And it was a skilled artisans that made all of this work and made the manufacturers capture all the money. So you want to be a skilled artisan right now. You want to figure out how to take the back and forth power of an LLM and convert that into usable work inside your organization.”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“It's a great question. I just analogies are really powerful, and we have very bad ones in AI. VC people get taken in by this, right? So I hear you want to sell picks and shovels. And first of all, I don't 100% know like everyone defines that slightly differently. They're like, oh, no, no, you want to sell compute. You want to sell the tools that help people scale up and pick their, you know, first of all, it's unclear what the analogy is. But the second deeper problem of this is that isn't actually how a new technology spreads across an organization. You know, I sell picks and shovels of the people trying to mine gold. What you want to do is figure out how to get them to use this new technology, which doesn't have a gold rush at all, right? Instead, the steam power, the secret was not James Watts' steam engine, which was important, right? Huge breakthrough. Two interesting things, by the way. Things didn't really take off until Watts' patents expired and it could be openly adapted. But the real value of the steam engine came from having skilled artisans in your factory who said, I've got”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“New economy, it's been batteries. So there's huge amounts of work going into batteries because solar panels are good, but batteries aren't good. I kind of feel like we're just going to hit a whole bunch of reverse salience, right? So like, oh, the data pipeline isn't good enough. Great. Is it going to be real world data, synthetic data? Or maybe this is the end. But once all of science concentrates on one thing, we tend to find ways forward. So I think it's going to be a bunch of debates over what the trailing indicator is. And then everyone forgets about that because it gets solved. It's not a bad approach. It also is just kind of how technology works, right? Because the money is all to be made in the reverse salient. If you can make a billion dollars as a data company, but, you know, because that's the area everyone's stuck on, you become a data company, right? This is capitalism and science at work. The hard problems are the ones where all the money and prestige comes from.”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“Try and answer that, but I want to get the contrarian view first that I always want to indicate first, which is for most people, they just don't care. Let's say that LLMs top out, and it turns out we have to switch to Mamba or some other. Like, who cares? Nobody cares. They're using these systems. There's a lot of like in the weeds that you get when you're watching this like a sports game of like, who's winning and what situation the top line capabilities matter. And there's a lot of room left there. Like to me, the thing that gets left on these computer science discussions are often the system, the human systems that these things have to interact with. the organizational system they have to interact with. And that's where we need to see kind of more growth, right? That being said, we don't know what the bottleneck is, right? There's this idea in the history of science called the reverse salient, which is that technology sort of moves forward, but there's always something that's kind of lagging. And all the effort goes into fixing the lag. In the early days of electricity, we had generators where transmission was a problem. So there's a huge amount of work to make transition better. And our current electrical sort of”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“Right, now we're at the classic sort of top end of a technology where it's all about like the calculator was a major factor in the release of the new iOS. And you're like, this is where we are right now is much better calculator. I think hilarious. So there is a topping out. Now, if you look at a process like Moore's Law, it's been a sustained exponential curve for years. The difference is that it's a bunch of underlying technology that gets swapped out for each other. So the real question is, what is this sort of top line intelligence? What does that max out at for what an AI can do? Are its limitations exceedable? Right now, AI is jagged. So it's really good at some stuff, really bad at other things. And as a result, it can't sub in for all of human work because on one hand, it'll do a great job on some of the stuff will do a bad job on other things, just like any machine does. The question is, can that jaggedness get overcome? We don't know the answers to these questions yet.”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“180th percentile. We don't know. So I think a large part of this is that kind of world. And a linear growth world where the models get a little better every year. I think that's much more adjustable to one where it continues to grow exponentially and we sort of get close to that AGI world.”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“Systems. But that's one option, right? Nothing much happens. Then option four is the machine god, right? We sort of achieve this AGI plus superintelligence thing. Machines are smarter than humans. We have an intelligence explosion and God knows what happens next. We've had a good couple hundred thousand year run as a species. We'll figure out what our successes are. And there's a lot of obsession with this because I think that's where everybody, both boosters and people who feel negative about this, this is where their minds go first, right? It's like super intelligence. I think the more common scenarios when we see a technology are either continued exponential growth or else linear growth and ability. And I think that's what we're under preparing for. So if you look at the trends lines of this stuff, everyone's like trying to anticipate that every model is either going exponential from here or is, you know, everything's going to top out. I think much more likely, you know, our study AI was as good at the 80% level of consultants. Next year is the 85th percentile, 90th percentile, 81st.”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“Okay. Of the four outcomes, Twitter only talks about, and the press only talks really about one in four. So let me go through one and four first. And I'll give you the boring middle, right? So option one is this is it. Models don't get much better. And it's sort of this whole thing sort of fizzles out. I think this is unlikely because I think not only will models get better, but also we haven't even started integrating them into work yet, right? Like the way you work with these things is an insane process of actually using a chat bot and having a conversation with a chat bot is how people are using it for work at this stage. So we're not even at the stage of integrating, but it's possible that things kind of, you know, in which case we have 10 years or so of integrating the system slowly into human systems, I think everything sort of stabilizes out where it is. We're not going to see, we'll see an economic improvement, but we probably don't see kind of a massive large-scale shift, except some industries change more than others, right? I think it's very likely that photography changes a lot and that there's other fields and customer service changes a lot with our currency.”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“It makes complete sense. I mean, it doesn't help that social media likes buzz. For normal people, sitting back, like everyone's just going to keep using ChatGPT because that's what they're using, right? They might gradually switch to club. Like the enthusiast community is very different than when I talk to the outside world about this stuff. And I think that on the grand sweep of things, what really matters is when these models top out and how long that takes. And I think worrying about who's in the lead at one moment.”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“I think we don't know a lot, and even the people train the models don't know a lot. I mean, part of the weird bit here, right, is that people train the models are all computer scientists, basically. I mean, doing computer science. And they don't have a huge idea of the implications of their systems. When OpenAI released GPT 3.5, they didn't expect to destroy higher education, education, and they would have to rebuild it because everyone's cheating all of a sudden, right? I mean, they're already cheating, but now they're just cheating really well. But we weren't expecting a large-scale revision of how the world works, right? Everything I'm hearing from everybody is in the next generation of models is going to be smarter, right? The exponential continues. Whether or not that translates to real world implications of different kind of concern.”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“So there's like four or five dimensions that the llama model is super interesting in. We could talk about open weights and open source being one model. I'm not surprised that they caught up with the leading edge state of the art models. I think people are underestimating how much ammunition the closed source labs have and are going to release in the near future. I think it's great. We now have an open source GPD-4 capable model and it's going to be everywhere. It's just interesting because how much of that gap gets closed by that model. So every national government had worse AI than every kid in Mozambique had access to through GPT-40. So now there's an openly available fine-tunable model. We're going to see a lot of weird effects from AI that were delayed happen as a result. Actually using it, it's pretty good. I mean, I don't think it stands out compared to a claude at this point or something else, but it will soon because people will be working on it. And it is a downloadable open weights model, which is kind of a big deal.”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“Like, oh, I know business stuff and entrepreneurship stuff and education. And these things are actually quite useful. And I already had a fairly large Twitter following. So I just sort of became the go-to person. And then there is this Matthew effect of like all the labs started talking to me and I get insider information and everything and it becomes a sort of self-reinforcing prophecy.”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“I'm a former entrepreneur myself, so the startup company I help co-found embedded the paywall. So I still feel like I'm trying to make up for that in the late 90s. So just trying to pay back after that. Then I've been a professor of entrepreneurship. I got trained in MIT. And then I've been at Wharton ever since. You know, I do a lot of work on teaching and research on how entrepreneurs become successful. But I also had this side gig of thinking about AI and teaching for a long time. So I worked at the Media Lab with a guy named Marvin Minsky, who's one of the founders of AI. And I was like the non-technical person there who was like trying to translate what the lab was doing for the world. And then I was building tools for how do we teach entrepreneurship at scale because it turns out it really matters a little bit of entrepreneur training make a huge difference in people's lives. And we're playing with AI and other tools. So when AI sort of came out, I was in the weird place of actually practically using these tools for a long time beforehand. It turned out everybody else who was taking this stuff seriously was computer scientists. So I sort of was there at the early days of”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“I'm thrilled. It's great. And I've been an entrepreneur professor for a very long time before anyone knew about my AI work. So it's always great to be connecting to the VC and entrepreneurship world.”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source
“OpenAI abandons products like crazy. They want to build the machine god. If you have any talented people, you're going to have them building the next technology for AGI. If you have compute, that's what you throw it at. I mean, they're incidentally making $3 billion run rate this year, I think, by like just accidents. But there isn't really a product there right now. It's the chat bot and the API. I think a lot of people in this space are just assuming scale solves issues. The real problem right now is every startup in the world is betting against AGI, which I find really funny because all the funders are like, yeah, AGI is coming in next five years. If it is, why are you funding these startup companies? None of them survive in an AGI world.”
2024-07-31 · The Twenty Minute VC · 20VC: Is More Compute the Answer to Model Performance | Why OpenAI Abandons Products, The Biggest Opportunities They Have Not Taken & Analysing Their Race for AGI | What Companies, AI Labs and Startups Get Wrong About AI with Ethan Mollick · IDENTIFIED FROM THE TRANSCRIPT · source