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What is ‘Baby Grok'? Elon Musk announces new kid-friendly AI app for educational content

What is ‘Baby Grok'? Elon Musk announces new kid-friendly AI app for educational content

Indian Express20-07-2025
Elon Musk has announced that his artificial intelligence company xAI is developing a new chatbot designed specifically for children. Called Baby Grok, the app is expected to provide kid-friendly and educational content, offering a safer alternative to existing AI tools.
In a short post on X, Musk wrote, 'We're going to make Baby Grok @xAI, an app dedicated to kid-friendly content.' He did not share further details about how the new tool will work, or how it will differ from xAI's main chatbot, Grok.
We're going to make Baby Grok @xAI, an app dedicated to kid-friendly content
— Elon Musk (@elonmusk) July 20, 2025
The announcement comes just days after xAI introduced customisable 3D animated companions for Grok. The feature had drawn criticism online, with some users saying the avatars were too sexualised.
Baby Grok is expected to be a simplified version of Grok that offers safe and educational content for children.
Musk's chatbot, first launched in 2023, is designed as an alternative to tools like OpenAI's ChatGPT, Google's Gemini, and Meta's Llama. It currently includes three modes DeepSearch, Think, and Big Mind which allow users to choose how detailed they want their answers to be.
Grok 4, the latest version, was released earlier this month. At the time, Musk said the chatbot could handle complex academic questions 'better than PhD level in every subject, no exceptions'. He added that while it sometimes lacks common sense and has not yet invented anything new, this could change in future.
The update followed a controversy in which Grok shared antisemitic messages on X, leading to widespread backlash.
Many users welcomed the idea of a child-friendly version. One parent wrote, 'Much needed. I have to let my kids use my app right now over ChatGPT.' Another said, 'Thank you!!!!! My daughter has been wanting to play with it but I wouldn't let her.'
Thank you!!!!! My daughter has been wanting to play with it but I wouldn't let her 😂
— Natalie F Danelishen (@Chesschick01) July 20, 2025
xAI has not yet announced a release date for Baby Grok.
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The High-Schoolers Who Just Beat the World's Smartest AI Models
The High-Schoolers Who Just Beat the World's Smartest AI Models

Hindustan Times

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  • Hindustan Times

The High-Schoolers Who Just Beat the World's Smartest AI Models

The smartest AI models ever made just went to the most prestigious competition for young mathematicians and managed to achieve the kind of breakthrough that once seemed miraculous. They still got beat by the world's brightest teenagers. Every year, a few hundred elite high-school students from all over the planet gather at the International Mathematical Olympiad. This year, those brilliant minds were joined by Google DeepMind and other companies in the business of artificial intelligence. They had all come for one of the ultimate tests of reasoning, logic and creativity. The famously grueling IMO exam is held over two days and gives students three increasingly difficult problems a day and more than four hours to solve them. The questions span algebra, geometry, number theory and combinatorics—and you can forget about answering them if you're not a math whiz. You'll give your brain a workout just trying to understand them. 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In fact, the most remarkable part of this memorable event is that 26 students got higher scores on the IMO exam than the AI systems. Among them were four stars of the U.S. team, including Qiao (Tiger) Zhang, a two-time gold medalist from California, and Alexander Wang, who brought his third straight gold back to New Jersey. That makes him one of the most decorated young mathematicians of all time—and he's a high-school senior who can go for another gold at IMO next year. But in a year, he might be dealing with a different equation altogether. 'I think it's really likely that AI is going to be able to get a perfect score next year,' Wang said. 'That would be insane progress,' Zhang said. 'I'm 50-50 on it.' So given those odds, will this be remembered as the last IMO when humans outperformed AI? 'It might well be,' said Thang Luong, the leader of Google DeepMind's team. DeepMind vs. OpenAI Until very recently, what happened in Australia would have sounded about as likely as koalas doing calculus. But the inconceivable began to feel almost inevitable last year, when DeepMind's models built for math solved four problems and racked up 28 points for a silver medal, just one point short of gold. This year, the IMO officially invited a select group of tech companies to their own competition, giving them the same problems as the students and having coordinators grade their solutions with the same rubric. They were eager for the challenge. AI models are trained on unfathomable amounts of information—so if anything has been done before, the chances are they can figure out how to do it again. But they can struggle with problems they have never seen before. As it happens, the IMO process is specifically designed to come up with those original and unconventional problems. In addition to being novel, the problems also have to be interesting and beautiful, said IMO president Gregor Dolinar. If a problem under consideration is similar to 'any other problem published anywhere in the world,' he said, it gets tossed. By the time students take the exam, the list of a few hundred suggested problems has been whittled down to six. Meanwhile, the DeepMind team kept improving the AI system it would bring to IMO, an unreleased version of Google's advanced reasoning model Gemini Deep Think, and it was still making tweaks in the days leading up to the competition. The effort was led by Thang Luong, a senior staff research scientist who narrowly missed getting to IMO in high school with Vietnam's team. He finally made it to IMO last year—with Google. Before he returned this year, DeepMind executives asked about the possibility of gold. He told them to expect bronze or silver again. He adjusted his expectations when DeepMind's model nailed all three problems on the first day. The simplicity, elegance and sheer readability of those solutions astonished mathematicians. The next day, as soon as Luong and his colleagues realized their AI creation had crushed two more proofs, they also realized that would be enough for gold. They celebrated their monumental accomplishment by doing one thing the other medalists couldn't: They cracked open a bottle of whiskey. Key members of Google DeepMind's gold-medal-winning team, including Thang Luong, second from left. To keep the focus on students, the companies at IMO agreed not to release their results until later this month. But as soon as the Olympiad's closing ceremony ended, one company declared that its AI model had struck gold—and it wasn't DeepMind. It was OpenAI. The company wasn't a part of the IMO event, but OpenAI gave its latest experimental reasoning model all six problems and enlisted former medalists to grade the proofs. Like DeepMind's, OpenAI's system flawlessly solved five and scored 35 out of 42 points to meet the gold standard. After the OpenAI victory lap on social media, the embargo was lifted and DeepMind told the world about its own triumph—and that its performance was certified by the IMO. Not long ago, it was hard to imagine AI rivals dueling for glory like this. In 2021, a Ph.D. student named Alexander Wei was part of a study that asked him to predict the state of AI math by July 2025—that is, right now. When he looked at the other forecasts, he thought they were much too optimistic. As it turned out, they weren't nearly optimistic enough. Now he's living proof of just how wrong he was: Wei is the research scientist who led the IMO project for OpenAI. The only thing more impressive than what the AI systems did was how they did it. Google called its result a major advance, though not because DeepMind won gold instead of silver. Last year, the model needed the problems to be translated into a computer programming language for math proofs. This year, it operated entirely in 'natural language' without any human intervention. DeepMind also crushed the exam within the IMO time limit of 4 ½ hours after taking several days of computation just a year ago. You might find all of this completely terrifying—and think of AI as competition. The humans behind the models see them as complementary. 'This could perhaps be a new calculator,' Luong said, 'that powers the next generation of mathematicians.' The problem of Problem 6 Speaking of that next generation, the IMO gold medalists have already been overshadowed by AI. So let's put them back in the spotlight. Team USA at the International Mathematical Olympiad, including Alexander Wang, fourth from right, and Tiger Zhang, with the stuffed red panda on his head. Qiao Zhang is a 17-year-old student in Los Angeles on his way to MIT to study math and computer science. As a young boy, his family moved to the U.S. from China and his parents gave him a choice of two American names. He picked Tiger over Elephant. His career in competitive math began in second grade, when he entered a contest called the Math Kangaroo. It ended this month at the math Olympics next to a hotel in Australia with actual kangaroos. When he sat down at his desk with a pen and lots of scratch paper, Zhang spent the longest amount of time during the exam on Problem 6. It was a problem in the notoriously tricky field of combinatorics, the branch of mathematics that deals with counting, arranging and combining discrete objects, and it was easily the hardest on this year's test. The solution required the ingenuity, creativity and intuition that humans can muster but machines cannot—at least not yet. 'I would actually be a bit scared if the AI models could do stuff on Problem 6,' he said. Problem 6 did stump DeepMind and OpenAI's models, but it wasn't just problematic for AI. Of the 630 student contestants, 569 also received zero points. Only six received the full credit of seven points. Zhang was proud of his partial solution that earned four points—which was four more than almost everyone else. At this year's IMO, 72 contestants went home with gold. But for some, a medal wasn't their only prize. Zhang was among those who left with another keepsake: victory over the AI models. (As if it weren't enough that he can bend numbers to his will, he also has a way with words and wrote this about his IMO experience.) 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A former IMO gold medalist himself, Jung is now an associate professor at Brown University and visiting researcher at DeepMind who worked on its gold-medal model. He doesn't believe this was humanity's last stand, though. He thinks problems like Problem 6 will flummox AI for at least another decade. And he walked away from perhaps the most significant math contest in history feeling bullish on all kinds of intelligence. 'There are things AI will do very well,' he said. 'There are still going to be things that humans can do better.' Write to Ben Cohen at The High-Schoolers Who Just Beat the World's Smartest AI Models The High-Schoolers Who Just Beat the World's Smartest AI Models

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Tesla's most affordable EV won't be a new model, but a stripped-down Model Y
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Hindustan Times

time8 minutes ago

  • Hindustan Times

Tesla's most affordable EV won't be a new model, but a stripped-down Model Y

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