In short
AI Today Podcast Episode Summary
Episode Title
Is Privacy Dead in the AI Era?
Overview In this episode, the host discusses recent advancements in AI, focusing on the implications of privacy in an era dominated by algorithms. The conversation touches on innovations like privacy-preserving machine learning and the challenges of maintaining anonymity in a highly interconnected digital landscape.
Key Themes and Topics
- Recent Innovations in AI
- Introduction of privacy-preserving machine learning.
- Discussion of whether individuals can maintain privacy in an algorithm-driven world.
- Current Events in AI Competitions
- Announcement of OpenAI and Google achieving gold medal scores in the International Math Olympiad (IMO).
- Analysis of the significance of these achievements in the context of AI development.
- OpenAI vs. Google: The Drama
- OpenAI announced their results prior to Google, leading to tension between the two companies.
- Google’s response to OpenAI's premature announcement and their own results sharing.
- Importance of the IMO competition, where AI models demonstrated significant advancements from previous years.
Detailed Breakdown of Events
Competition Context
- The International Math Olympiad is a prestigious competition typically for high school students.
- AI models were able to solve complex problems, with OpenAI and Google achieving notable scores.
- The models’ performance improved from silver to gold, indicating rapid development in capabilities.
Conflict Between OpenAI and Google
- OpenAI’s decision to announce results ahead of IMO’s official verification resulted in criticism.
- Google’s leadership emphasized adherence to the IMO's request for a unified announcement.
- Both companies showcased advancements in their AI models, indicating a closer competitive landscape.
Insights and Conclusions
- Rapid Advancement: The episode highlights the fast-paced evolution of AI technologies, particularly in solving complex mathematical problems without human intervention.
- Industry Competition: It reflects a growing competition between leading AI companies, with performance metrics becoming a key point of differentiation.
- Privacy Concerns: As AI continues to develop, questions around privacy and data security remain paramount.
Key Takeaways
- OpenAI and Google are making strides in AI capabilities, as evidenced by their performance at the IMO.
- The competition between these tech giants is intensifying, showcasing a shift in leadership within the AI landscape.
- Privacy remains a critical issue as AI technologies evolve and integrate deeper into daily life.
Recommendations
- Listen to the full episode for an in-depth understanding of the ongoing AI developments and ethical considerations.
- Explore tools like AIbox to engage with multiple AI models and understand their capabilities and limitations.
Additional Links
- [AI Box](https://aibox.ai)
- [AI Chat YouTube Channel](https://www.youtube.com/@JaedenSchafer)
- [AI Hustle Community](https://www.skool.com/aihustle)
Conclusion The podcast episode is a robust discussion surrounding the implications of AI advancements on privacy and the competitive dynamics among major players in the field. It underscores the need for ongoing dialogue around ethical considerations in AI development.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00OpenAI and Google have both announced that they have received gold medal scores in the International Math Olympia. That's the IMO this year in 2025. Now, I want to break down exactly what this competition is, because it might not be as, I guess, intense as some people would think it is. And like, I'll also preface this by saying this is really impressive, but I'll break down exactly what it is, why they have achieved this. And I think most hilariously, I cannot do this podcast episode without covering all of the drama that is actually going on right now between OpenAI and Google. Google throwing some massive shade over at OpenAI for the way that they announced their results, which technically seems to have been against some rules and stuff.
0:43So anyways, we're going to get into all of that. Overall, these AM models are progressing very fast, I think is the big takeaway. But I do need to explain this, I think, for people to fully understand the context of the situation here. Before we get into that, if you want to try all of the latest models out of OpenAI and out of Google, I'd love for you to try my own platform, which is AIbox.ai. So I actually have the top 40 AI models. We have text, we have image, and we have audio models. You can chat with all of them in one chat thread. So it's like ChatGPT, but you can switch between Anthropic, Cohere, DeepSeek, Google, Meta, OpenAI, XAI, tons of other AI companies, including a bunch of image generators you may never have tried.
1:22And the nice thing that I love to use it for is when I'm having a conversation, I'll use ChatGPT sometimes to do some sort of analytical breakdown of something. But then I like the tone that Claude comes up with. So just right in the same chat, you just switch the model to Claude and all of a sudden Claude is talking with you and it will, you know, finish the conversation and look at the context of what you talked before. You can switch between tons of different models. You can also get it to regenerate the response. So if you're like, hey, I want, you know, Anthropic, Coher, Deep Seek, and Google all to answer this question, you can regenerate the response with all of the models and see which one you like the best.
1:51You can compare them side by side. So a lot of really cool features. I'll leave a link in the description if you want to try it out. It's$20 a month. So you save a ton of money instead of having to have subscriptions to all of these platforms, but you can go check it out currently in beta. And I'd love to hear your thoughts on it. All right, let's get into everything going on between OpenAI and Google. So this kind of all started with a tweet, which is from, well, actually, backing up a week ago, almost or last week, OpenAI announced that they had achieved the score. So basically, that means they got four out of five questions correct on the math Olympiad this year.
2:26And so four to five is a gold medal score. These are really complex problems. And this is usually competed on by high school students. And so, you know, people in the end of high school are going to go and kind of compete in this. OK, so this is that was last week. And then we just got the news that Google also got a gold medal. And when I heard this, I was like, oh, that's funny. Like Google must have, you know, heard OpenAI did it and they tried to compete. I wasn't super aware of the competition and didn't realize they're both competing at the same time in the same competition. Just OpenAI, I guess, wanted to get a leg up.
2:56on Google and announced the results first because it made big headlines. And now it almost feels like a tag on that Google's like, Oh, we did it too. Um, Google evidently is not happy to feel like they are a tag on to this. So this is, uh, Demis Hassabi. He is a Nobel laureate. He's a co-founder and CEO of Google DeepMind. If you probably know him, um, this is what he said on Twitter. He said, official results are in Gemini achieved gold medal level in the international mathematical Olympiad and advanced version was able to solve five out of six problems. Okay, sorry, not four to five, five out of six problems, incredible progress, huge congrats to I'm thing and the team.
3:35Okay. So he also said we achieved this year's impressive result using an advanced version of Gemini deep think. So advanced means not everybody has access to this. If you're going and using it's, you know what this is exactly like, this is exactly like when car companies will make, you know, they'll show off in, you know, Mercedes will have this absolutely insane car that they built and it goes and races and sets all sorts of records at that. What is it? The people are going to hate me for it, but it's the famous racetrack in Germany, the the non brick or I know it's not the name case. Y 'all can hate me for forgetting the name of that.
4:10But the famous racetrack in Germany that everyone sets the records at, they do not send production cars to that racetrack. They make all sorts of insane modifications. I remember when Porsche and Tesla a few years ago, we're having this big competition there. And Tesla was like, look, we can make this electric car just to like beat all the records. And but they sent this like Tesla Model S Plaid with a whole bunch of customizations that were not in, you know, your standard Teslas. And it went and set a bunch of records. But the thing is, it's like we show off the absolute fastest our car could be, but we never actually put that car into production, right?
4:41And so it's kind of like annoying for consumers. This is exactly like these AI models. They're like, There was an advanced version of Gemini Deep Think. It's like basic people don't get it. We just gave it tons of compute and tons of money to spend on these questions. And if we give it unlimited money and compute, we can solve really cool questions. But for your Gemini version you're using, you do not get any of these features. That was kind of funny. They said, our model operated end to end in natural language, producing rigorous mathematical proofs directly from the official problem description, all within the 4.5 hour competition time limit.
5:13We'll make it a version of this deep think model available to a set of trusted testers, including mathematicians before rolling it out to Google AI ultra subscribers. OK, unlike the cars, they will be giving some people this now. Google AI ultra. Go look at the price tiers on that. It's not cheap. So definitely most people are not getting this, but I'm kudos to them for making available. OK, now we get to the drama. So basically these models are getting way better. And I will bring up that these models have actually attempted this test before. This isn't the first time they've taken the test. So we've I believe Google got a silver medal score last time it took this.
5:49But here's the caveat. OpenAI and Google last time that they took this test, probably I think was last year when they took it. They essentially allowed the researchers to take the math questions and convert them into something that the model could understand. Right. So like if there is a picture of a really complex math problem, the researchers could like write it down in like a computerized text. format that's easy to understand and do. This time, they did not do that. These models were just basically with their vision, with everything that they had, were able to look at the problems and solve them to this level.
6:23So this is actually a really big step, I think, in that. Like, obviously, we're not going to have mathematicians sitting there breaking down questions to make it easier for AI models to solve. That definitely feels like cheating. So this is really cool. They were able to see the problem and they solved it better than before, from silver to gold, and it did the whole thing itself. Okay, so I am impressed. Like, consider me very impressed on that, the progress. But now we get into the drama with OpenAI. Why did OpenAI release theirs a week before Google? What happened here? Demi says, by the way, as an aside, we didn't announce on Friday because we respected the IMO's board's original request that all AI labs, cough, cough, OpenAI, he didn't say that, I did, share their results only after the official results had been verified by the independent experts and the students had rightly received the acclimation they deserved.
7:12We've now been given permission to share our results and are pleased to have been part of this inaugural cohort to have our model results officially graded and certified by the IMO coordinators and experts receiving the first official gold level performance grading for an AI system. So he said receiving the first official gold level performance, but OpenAI also got one. The one thing I will say, so I mean the first, also the second, the tie with OpenAI, you both got, you both got a gold medal status, but whatever. What I did think was interesting here. So basically what happened was open AI. Um, I think tech crunch like reached out to them and was like, what the heck happened?
7:49Like, how come you guys did your results early? They weren't supposed to basically the, um, the IMO was like, Hey, like take, come take the test with all of the students. And then let's like give the students their flowers. So this whole thing, isn't just a big, you know, a big celebration about AI model progress. And we'll announce whoever wins, then you can do it. Well, OpenAI didn't really want to wait for that. So apparently what happened was OpenAI hired their own researchers after it took the test to go and look at the results and grade it themselves. Typically, you would wait for the IMO to have their researchers or their officials to go look at the content and then grade it.
8:29So apparently, opening i hired third-party evaluators three former imo medalists who understood the grading system so to be fair to opening i like they did a really good job they probably paid a lot of money they found people that formerly worked there um they used them to grade the ai model's performance after they learned of their gold medal score the company reached out to the imo which then told them to wait to announce until after the friday night ceremony did they do that no they didn't they just announced it anyways because they were you know excited or whatever um so yeah google's not really wrong here.
9:00They probably should have waited. One thing that I will say is interesting is it feels like opening. I used to have a huge lead in the industry. It feels like it's a lot closer now. Google has roared right up next to them. We have XAI that, you know, according to the benchmarks, people get mad at me all the time and go read some like YouTube comments. I mentioned recently that XAI was as good as a PhD researcher on a lot of topics, which is basically what their benchmark results showed. But in any case, people got mad at me. I understand that all the controversy around XAI. I think they do have a lot of dumb things.
9:32I think they're doing some smart things. Whatever. Don't get mad at me. Don't shoot the messenger. Their benchmarks are really good. They have the best benchmarks. It doesn't mean it's the best in the real world. You all can argue that, but it has the best benchmark. So there's a bunch of these top companies and it feels like they're a lot closer. Now, I will give the caveat that OpenAI allegedly is going to release GPT-5 soon, but I don't put too much weight in who the hearsay of who's going to release what next, because I like to just play with the cards that are, you know, the cards that are on the ground.
10:02I feel like I've been disappointed by a bunch of big announcements of, oh my gosh, this latest model GPT 4.5 is going to be insane. And it wasn't as crazy as you might've thought or hoped for, or it was too slow to be too useful or whatever. There's all these different things. I'm not saying pointing fingers at opening at all the companies. So I will say, um, it feels like the industry is quite matched right now. And every company that releases the latest model is the best model. We just had XAI before that it was Google before that it was Anthropica before that it was OpenAI. So it seems to just kind of go in a circle.
10:32But in any case, so we'll have more, but it feels like it's pretty evenly matched right now. No one is like leaps and bounds ahead of anyone else. And you would hope not. The only one I feel like that is leaps and bounds behind is Apple is like a million miles under the sea, 10 ,000 leagues under the sea. And then we have, of course, Meta who feels like they're lagging behind, but Zuckerberg is spending billions of dollars. The latest is that he offered a researcher$1.2 billion, an AI researcher over four years from OpenAI to come join Meta's super, uh, super intelligence team. And apparently they turned it down.
11:04Now, not all of them have turned it down. Many have actually left OpenAI to go over to Meta. Basically Meta, uh, has to look at how, what the value of the OpenAI shares are that that person has that if they leave, they'll lose the best. And they're like, I can't, it's the golden handcuffs, right? I can't leave OpenAI because I have like half of, you know, I have five hundred million dollars worth of shares that are going to invest over the next four years. And Zuckerberg's like, that's fine. We'll just we'll just pay you for whatever those are worth. Just come over, just get started now and you'll double your money and get paid for those shares.
11:29So it's been pretty crazy. And so I expect them to catch up quickly based off of the money that they're spending on it. But they're definitely not. I feel like at the head of head of the pack right now. So it feels like a lot of these companies are pretty close. And while it doesn't really matter who announced at first, OpenAI or Google in the same week, basically the models had the same results. So they both have gold medals. Now, beyond all the drama and who's best, whatever, I think it's a really good point to just say these models have progressed so much faster than I actually anticipated.
12:02In the last year, this is very impressive that on this particular test, they went from silver to gold and to be able to do it all by themselves, we're gonna see some amazing advancements. I'm really excited. Hey, if you enjoyed the episode today And if you learned anything new about these AI models and basically what's going on, I would love for you to leave a review of the podcast. It's the number one way you could say thank you. If you've got anything out of it, I make these podcasts. It's a ton of fun, but it really helps me stay motivated to keep making them. I want to see your guys' amazing reviews and, you know, subscribe over on YouTube if you're watching it there as well.
12:35So thanks so much for tuning into the podcast. Make sure to check out AIbox.ai for the top 40 AI models on one platform for one price. so you don't have to pay for subscriptions for every single AI model. And I will catch you in the next episode.
From the publisher
Is Privacy Dead in the AI Era? focuses on new innovations like privacy-preserving machine learning. We explore whether you can stay hidden in an algorithm-driven world.
Try AI Box: https://aibox.ai
AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchafer
Join my AI Hustle Community: https://www.skool.com/aihustle

