YouSaid · the spoken record

Jack Morris

lines on the record: 51
first: 2025-09-26
most recent: 2025-09-26
sittings or episodes: 1
sources: podcast

Every line below is reproduced as it was said and linked to the record it came from. Nothing here is summarised or generated. Directory · Search · Corrections

“Yeah, exactly. Seriously, the title is like, okay, maybe before you were a researcher, now you get to be like a head researcher. You get to have people under you. You're a chief scientist. And all these things do matter to people.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, I think different people assign different amounts of weight to each of those things. In my experience, like most of the people I know come from academia, which means they already kind of gave up more of a salary to do study things more deeply for several years. So I think people that I know are more biased against money, but like people do care about that. But I think that the ego thing really matters. And so some people want to feel like they're very important and they're working on a problem that matters. One way some companies are able to pull researchers away from other companies is by saying we'll assign you more importance in your role and we'll give you.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Right. But you don't really like your job Yeah, yeah, but you can remind yourself that the job you take once isn't the job that defines you forever. Maybe the right thing to do is to take it for a few years, but not the whole time and then go do something. Everyone says they're going to do that.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Congratulations, but so yeah, I think like There's more of a desire to be there the next time something really interesting happens. And that kind of supersedes the money. Like any of these places will pay you what's like a really good salary to live on. And so it's actually not a big consideration. It only becomes complicated when you have like one option that's going to pay you like 40 times more than the other option and then things get confusing.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“We were talking amongst ourselves, what does this even mean at this point? Like you're, you know, a 28 year old computer scientist that's been coming from a PhD, so you make more on the order of tens of thousands of dollars per year. I honestly think personally the marginal difference between having like 10 and $20 million is like very low. Like I don't even know what I would do with 10.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Wasn't sure if she wanted to work there. And I think originally she said no. And then they doubled her offer. And then like, it's the exact same amount of cash, but twice as much per year for a certain number of years.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“It's all about the paycheck. I'm just kidding. No, no, not at all. Yeah, it's funny you ask. So this hasn't happened to me, but just in the past two weeks or so, a good friend of mine has been dealing with this problem because she got an offer on the order of like tens of millions of dollars per year from a big AI company. And she...”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Definitely happens from time to time. I think usually the scientific process is something like you start with other people's models and you run them and you see what happens and then you decide on some part of that process that you think could be improved or could be explored further and you make some tiny changes to it and then you run it again and you compare like numbers or you make graphs of what happened before and what happens after. So actually quite a bit of it like for example the GPT2 model from OpenAI which was 2019 or something their first kind of really Larger scale chatbot. Like I've spent hundreds of hours kind of like playing with that code and talking to the model and stuff like that. So thank goodness for open source for that reason.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Think if you're running a company, there are a lot of downsides potentially to open source. If you have some brand new fancy way of doing computation inside the model that's actually better, you might want to keep that information to yourself. And when you release the model to make it runnable, you have to release all the code to run the model, which might contain your secrets. And so I think that's why people are hesitant to do it. The other reason is because when you release the model, it actually contains quite a lot of residual information about how you actually trained it. Like you might be able to infer what the data set was and what the training process was, or even reconstruct the entire training dataset given just the weights of the model. And so if you're worried about people”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, I think that's definitely a good argument for why open source is important. And if you ever fall in love with a model, you should fall in love with an open source.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, that was a really interesting story. So I think the model before GPT-5 was 40. And they said that they thought internally, like all the scientists and coder people, that the new model was superior in every way. It gives you shorter responses. It's a bit nicer. It's much smarter. And then people got really upset because they had spent so much time talking to the old model that they felt like they'd experienced like a serious loss in their life.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Having a higher ceiling in terms of what it can do. It's more like it needs to be more consistent or like dependable than actually smarter.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, yeah, that's a great question. Like, we could have really good interns without ever getting better scores on the Math Olympiad. Like, that's not necessarily something that we ever had to go after. I think part of the reason for that is the AI labs are engaged in this kind of neck and neck race to have the smartest model. But I totally agree that AI could be economically transformative without”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, yeah, that's right. That seems like Yeah, yeah, I think this is a big problem. It's like we have to wait six months for the chat GPT 5.1 to come out and then maybe they'll include your problems as the training data. And so maybe it'll get better, but it might not. And instead, I think people need to think about ways to do that update more dynamically like every time you talk to it or maybe every night when you go to sleep, the model kind of like gets to work and studies what it was talking to you about and crafts better tests for itself and then learns. And then when you wake up, the model's actually better.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Like ChatGBT is the same model that gets served to everyone, so it has to store information about random restaurants in countries you never go to. But instead, if you had a ChatGPT that's specific to Bloomberg or specific to your work, it might be able to use more of its brain to do work for you. And then the second thing is if it was updated every day, so like if you ask it to make your odd lots calendar or RSS feed and you're like, no, that was wrong. Like you did it wrong for this reason, this reason. And you try again tomorrow, it'll still break tomorrow because it doesn't like continuously improve its capabilities. Oh, yeah. I think that's the direction things are going.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Thanks for asking I think I mentioned before I'm really trying to figure out what's coming next. There are some obvious things like we can get computer usage data and train better agents or we can get more coding data and make them better at coding or writing. My personal opinion is that the next round of improvements in AI models will come from some type of personalization and online learning, which means like models that one, are trained like per person or per company. So like you could think of”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Thousands of old books for several years. So they have this division. I think they're based in New York that buys like shipping containers full of old manuscripts, cuts off the spines, and puts them in these scanning machines. And then they turn them into like really high quality text. And so I'm noting Claude has this weird aspect to it, maybe part of the reason is they've gathered like Trillions of words worth of like old book data over many years, and that's pretty hard to replicate elsewhere. So I think that Head Start really does mean a lot.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“It's pretty unclear to me. I think there are different beliefs you can have. You can believe that the ideas and the people are really the thing that differentiates the models. And in that case, I think we haven't so far seen a lot of like the top USAI researchers going to work at Chinese labs. So that seems stable. You could think that chips really matter. And in that case, the chip race is really happening between big American companies. Like I think actually China has a pretty big deficit coming up in terms of the GPUs we're exporting. Or you can think that the data matters. And I guess actually any of these point in the favor of the US, I think. If you think the data really matters, maybe the data they gather through deepseek.com usage is really good and they can use it to like bootstrap a better model. But I think the American companies really do have an advantage. You all might have heard this story just as an anecdote. Apparently at Anthropic, they've been buying and scanning.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, I'd be like an asset to the United States government or something if I knew how to do that. So I guess it depends on what kind of problems you work on. Like I'm more interested in understanding how things work so it becomes a bit less financially dire, I think.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, I think that over time it's gotten harder and harder to do things that are just like cool ideas or seem cute but don't have any necessary application. And things are getting closer and closer to products. You know, even like the language models that Power ChatGPT, I was working on those before ChatGPT and they had some uses, but also they're intellectually interesting and fun to build. But now if I came up with a better way to train ChatGPT, that's like a multi-billion dollar innovation.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, I think it's really useful because they released all their model weights and they said exactly what they did to train it, although they didn't say what the data was. But it gave me the impression there may be six to 12 months behind the American AI Labs in terms of how well they can do the training and stuff. But it still was a pretty big update for me to know that, wow, there are 100 people that don't have PhDs working at a Chinese hedge fund that are training these like cutting edge models. It is incredible and they work very hard. They're very good.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Your grandma starts asking you, and there was nothing else so far, I think, in the AI space that's made quite that much news.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“I was pretty surprised at how much of a splash they made. The model is really good, and I think a lot of people are building on it, including me and most people that are at AI companies that aren't super, super big are building on DeepSeek. But it was surprising a huge deal it was to people. Like my mom's asking me about DeepSeek. I think my grandma knew about DeepSeek and she barely knew about ChatGPT. That's when you know it's gone main.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“So, yeah, like I think they wouldn't release the models that are potentially trained on scraped or copyrighted data, but if that's the way to get better Math Olympiad scores, then people will, I think, I would guess, do that. But you're right that the Chinese modelmakers can just sort of. Take all the books that they can pirate from the internet and train on them, and they're not violating any laws, and they can release the model to the public, and it's all fine, which is honestly great for us because then people like me could probably download a model that's better than we would get otherwise.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, I think. The American AI Labs will probably do things behind the scenes that they wouldn't tell you about to get good data.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“I think certain people talk all the time to the chip makers. Like there's a big community of people, you know, the AI models all run on GPUs and there are a lot of people that are getting really good at writing fast GPU code. It's called kernels. And all those people who work on kernels talk to the chipmakers all the time.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Right, right, right. They're in a problem where they have the data, they just have to take the right algorithms and scale it up to train the model to be as good as Claude is. But that actually seems a lot more feasible than other companies that have no data and want to train good models, even if they know how. It seems very difficult”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, actually, cursor is a great example. So they are very technical. They have really smart people. They're very small. So they haven't quite scaled to, at least in terms of the number of people. But I think about this, like every time I was like, oh,”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Used to train O3 or GPT 5 or whatever, if there is a really good website that should have been scraped and downloaded into the model, it should probably be used. But there are apparently is a much larger amount of private data than public data. I mean, you all work for Bloomberg, so you're probably intimately familiar with this. But if you think about the different AI labs that exist, they actually now do kind of have different data related modes like XAI, they have all of the Twitter data that's basically impossible to get elsewhere. ChatGBT now has all of the user conversations with ChatGPT, which are really useful. Claude has a ton of coding data that other people don't have. Google has YouTube, which some people think might be like the next source of making really good models. And none of those things are really included, at least not much in today's models.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, yeah, I think this is really getting to the heart of what people are trying to figure out right now in all these different labs. So I think you're pretty much right that all of the public data sets we have are pretty much”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“The most recent big scientific breakthrough like 01 and then 03. What's next? And then like where will that actually be happening? That's kind of what I'm thinking about right now.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“And data, presumably. And a ton of really good data. And so I think as that gap has widened, I felt like a lot of what we're doing is like kind of devising these toy scenarios where we can study interesting things. But I feel a bit disconnected from the real progress of humanity. If you really agree that this is like the biggest problem of our time, I don't want to say it's like the Manhattan Project, but like it's more like trying to go to the moon in the 60s, the space race. It's kind of like a space race going on in these different private labs. You want to be a part of it. Like there's crazy energy in that. It has huge implications for the future of society. So I think I am interested in participating in that. My big question is, if you think that the reinforcement learning thing was”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, it's a really hard question. Like, I've struggled with this in my own personal decision making. I was originally thinking, oh, I'd love to become a professor and mentor younger students and get a whole like group of these ideas going and start working on similar related problems to the stuff I was talking about. And I still think that would be fun. But there's a big gap in terms of the things we can do at Cornell and the things that you can do at OpenAI. Like they just have like crazy infrastructure for training models really easily.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, I think the second thing is probably the biggest barrier in terms of time. Like it just takes a really long time to figure out what data you need and collect it properly and actually train the models on that data. But at the same time, there are people like me who are trying to work on better conceptual frameworks for training the models. So to go back to the 03 example doing reinforcement learning on chat GPT like that seems to me like a huge breakthrough. Like we didn't know how to do that before. It unlocks all sorts of doors and ways to train the models. So even if maybe you don't think that model was that much better than the previous one, it seems like it will give us huge improvements in the future.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“I don't think there's any conceptual roadblock. Like, there's no reason why you couldn't collect data for that and train them either in a supervised way or using reinforcement learning. It just hasn't happened yet. So I think maybe behind the scenes, it turned out that the problem was harder than people thought. Like getting data from all those scenarios is really hard.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“I think it's kind of like the market where it's like always it gets faster for a little while and then it feels like things have slowed down and the progress is never quite in the areas that you expect. As one example, people really thought this year was the year when the assistants would start being able to act like actual assistants like the year of agents. People actually coined that term, I think like the year of agents. And it really, it didn't happen for whatever reason. Maybe it will in the next three months, but the agents are still pretty bad, the ones that you can use. But they did get way better at competitive math. Like now they can do these world-class proofs that they couldn't do before. So it's almost unpredictable like which areas the AI will kind of conquer next, but it does feel like progress is continuing.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Emulate Reddit posts very well. And there was a tiny bit of reinforcement learning, but people didn't know how to do it right. And then you mentioned this 03 model, which is kind of in some ways like a big jump. Like it made the models much better at math, much better at certain things. And the way they did that is actually through reinforcement learning. So they found out a way to kind of like let the model think for a while and then give it a reward when it like gets the answer at the end. It's kind of scary”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“I'm saying that it worked for them. And so it might be possible. But in the case of language models, there's something a little more interesting happening because we now have two ways to learn. If you guys are ready, we could get into something a little technical, which I think gives you some insight. So there's essentially two ways you can teach machines to learn from data. One is called supervised learning, where the computer will copy what you did, which is like basically what we're talking about now. And the other is called reinforcement learning, where the computer just does something and then you give it a reward if it does something well. And so for a long time, like the original chat GPT was mostly just trained with supervised learning, like it would just copy the text from all of the internet. And so the best it could ever do is”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“I definitely agree. I think one counterexample is people said this for a long time about self-driving cars. Like everyone was really excited about them for a long time. And then they kind of didn't really work like eight or so years ago. And there was this period where they were saying, oh, the models can't do green cones. We're going out there trying to take videos of green cones. And yeah, they can't do snowball. So you're saying eventually you can just patch your way.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, that's a really good example. I think they kind of successively include these kinds of things in more rounds of training data. And so every time a new model comes out, they kind of patch little holes that appeared in the previous models. So you're pointing to this, like they probably started with the classic riddle that's like a pound of bricks or a pound of feathers. And they're equal. But then like the models got that wrong. And so they add it to some part of the training data.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Definitely the AI companies like to use price as a metric, which is kind of interesting because there's a lot that goes on behind the scenes, including just sort of like Free money that drives the prices down, but they also do benchmark speed. And I think you make a good point that the benchmarks can be pretty misleading. Like, for example, there's a bunch of recent open source models that came from different Chinese AI labs that have really, really high scores on certain benchmarks, but people kind of think they're not as good for real world usage for whatever reason.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“I like it a lot better, but I don't know how you would design a data set that can really capture that. The second way they do the evaluation is by they call it its ELO scores, like in chess. So they, for example, ask the two models to write a limerick, and then they have humans rank, which one is better, and they make this kind of ladder of ELO rankings for models. So I think right now Claude or GPT-5 or maybe the Google model is top on this Elo ladder.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, there are a lot of tests like that. There's some creative writing benchmarks and some poetry related ones. But I think you. Point out something interesting that, for example, I mostly use Claude for anthropic, and I think Claude does have this something to it that's like a little bit different, and it's very difficult to characterize. It's just sort of the way it speaks to you and the way it thinks of itself.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Coding tests and a big one that specifically OpenAI has been advocating for is math. Like they did the International Math Olympia and they said essentially GBT5 scored at the level of The best high school mathematicians, which is pretty cool, but you raise a good question of how. Figured out”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Okay, yeah, that's more tractable. We can start there and then we can talk about O3 and GPT-5. So there's essentially two ways people do this kind of model evaluation. The main one is just by testing them on different data sets. So for example, there's this data set called Sui Bench. That's a bunch of software engineering related coding problems. And they all have a human written solution and tests. And so you can ask GPT-5, can you write the code for this and then run the test and see if it's right. And still the models are pretty bad at that. I think they can do about half of them. They're very hard. They're like entire days of work for professional software engineers. But when a new model comes out, they can say, oh, look, we actually got a higher score on Sweepenge. And there's a ton of different data sets like that. So when GPT-5 comes out, they say, you know, it's better at these types of.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“There's this old field of information theory from the 20th century where they talk about bits like a zero or a one as a bit and you can add them up and have kilobytes and megabytes. And so I've been trying to think about what that means in like the chat GBT world. If you train a model on a certain number of bits, how many bits does it actually learn? And like, can you look at the model and figure out like if you have one slice of the model, how many bits that is and stuff like that? So maybe the easiest way to explain is if you had for some God-forsaken reason to use chat GPT as like a flash drive, like you had a certain set of data and it had to memorize all that data, like how much data could it actually store. That's the kind of area I've been working in. And then, you know, once you're there, you kind of realize we could do this or maybe next semester if we have time, we could try this other thing. And so there's it kind of branches out and there's a lot of little problems that you can try.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, and good news for me too because it means I can still get a degree and be gainfully employed. But I think it's still helpful, but we still need like humans to make these improvements. And in terms of what the actual day-to-day work looks like, I think it really varies. Like there are some people working on trying to make the models run faster or trying to make the hardware that runs the models run faster, more efficiently. And there's people that try to work on the data, like what should we train on more coding problems or more textbooks or more Reddit posts, what works best to make the models. And then there's a lot more people working on different areas of the stack, like training algorithms. I kind of have my own little niche.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, that's actually a very smart idea. And like, people are really worried about that, actually. Like, if we get to the point where the AI can improve itself and do research on it sort of gets smarter and then it proves itself again and it ends up being this kind of exponential improvement that ends up with all of our demise.”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“We're going to hear from you again, except for something like that. Yeah, I'll make sure they have a clause in my contract that I can still talk to Joe and Tracy. Okay”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source
“And all the academic institutions do public research and the AI labs like OpenAI Anthropic, Google DeepMind, they essentially do private research where they have these people in-house that are running experiments and learning more about their systems, but they don't publish anything or share any of their knowledge. And so a cool thing about getting your PhD right now is you can do research, write about it, and then publicize it, like put it online. I tweet about it. I kind of like can talk to you about it. And there's a few places left that'll still kind of...”
2025-09-26 · Odd Lots · Jack Morris on Finding the Next Big AI Breakthrough · IDENTIFIED FROM THE TRANSCRIPT · source