
Google and OpenAI's AI models win milestone gold at global math competition
Alphabet's
and
OpenAI
said their artificial-intelligence models won gold medals at a global mathematics competition, signaling a breakthrough in math capabilities in the race to build powerful systems that can rival human intelligence.
The results marked the first time that AI systems crossed the gold-medal scoring threshold at the International Mathematical Olympiad for high-school students. Both companies' models solved five out of six problems, achieving the result using general-purpose "reasoning" models that processed mathematical concepts using natural language, in contrast to the previous approaches used by AI firms.
The achievement suggests AI is less than a year away from being used by mathematicians to crack unsolved research problems at the frontier of the field, according to Junehyuk Jung, a math professor at Brown University and visiting researcher in Google's DeepMind AI unit.
"I think the moment we can solve hard reasoning problems in natural language will enable the potential for collaboration between AI and mathematicians," Jung told Reuters.
OpenAI's breakthrough was achieved with a new experimental model centered on massively scaling up "test-time compute." This was done by both allowing the model to "think" for longer periods and deploying parallel computing power to run numerous lines of reasoning simultaneously, according to Noam Brown, researcher at OpenAI. Brown declined to say how much in computing power it cost OpenAI, but called it "very expensive."
To OpenAI researchers, it is another clear sign that AI models can command extensive reasoning capabilities that could expand into other areas beyond math.
The optimism is shared by Google researchers, who believe AI models' capabilities can apply to research quandaries in other fields such as physics, said Jung, who won an IMO gold medal as a student in 2003.
Of the 630 students participating in the 66th IMO on the Sunshine Coast in Queensland, Australia, 67 contestants, or about 11%, achieved gold-medal scores. Google's DeepMind AI unit last year achieved a silver medal score using AI systems specialized for math. This year, Google used a general-purpose model called Gemini Deep Think, a version of which was previously unveiled at its annual developer conference in May.
Unlike previous AI attempts that relied on formal languages and lengthy computation, Google's approach this year operated entirely in natural language and solved the problems within the official 4.5-hour time limit, the company said in a blog post. OpenAI, which has its own set of reasoning models, similarly built an experimental version for the competition, according to a post by researcher Alexander Wei on social media platform X. He noted that the company does not plan to release anything with this level of math capability for several months.
This year marked the first time the competition coordinated officially with some AI developers, who have for years used prominent math competitions like IMO to test model capabilities. IMO judges certified the results of those companies, including Google, and asked them to publish results on July 28.
"We respected the IMO Board's original request that all AI labs share their results only after the official results had been verified by independent experts and the students had rightly received the acclamation they deserved," Google DeepMind CEO Demis Hassabis said on X on Monday.
OpenAI, which published its results on Saturday and first claimed gold-medal status, said in an interview that it had permission from an IMO board member to do so after the closing ceremony on Saturday.
The competition on Monday allowed cooperating companies to publish results, Gregor Dolinar, president of IMO's board, told Reuters.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Time of India
43 minutes ago
- Time of India
Adani Power goes for a 1:5 stock split, Q1 net profit dips 15%
Adani Power on Friday said its board of directors has approved a stock split, dividing each existing equity share of face value '10 into five equity shares of face value '2 each. "The subdivision of shares is intended to encourage wider retail participation by making the stock more affordable," it said in a regulatory filing. The company on Friday also reported a 15.5% fall in its consolidated net profit for the first quarter ended June to '3,305 crore from '3,913 crore a year earlier. Revenue from operations declined 5.9% to '14,167 crore from '15,052 crore. Explore courses from Top Institutes in Please select course: Select a Course Category Data Science healthcare Cybersecurity Public Policy MBA Finance Artificial Intelligence Others Management Technology Degree Digital Marketing Product Management MCA PGDM others Healthcare Operations Management Data Science Design Thinking CXO Data Analytics Leadership Project Management Skills you'll gain: Duration: 10 Months IIM Kozhikode CERT-IIMK DABS India Starts on undefined Get Details Skills you'll gain: Duration: 11 Months IIT Madras CERT-IITM Advanced Cert Prog in AI and ML India Starts on undefined Get Details Skills you'll gain: Duration: 10 Months E&ICT Academy, Indian Institute of Technology Guwahati CERT-IITG Prof Cert in DS & BA with GenAI India Starts on undefined Get Details Skills you'll gain: Duration: 11 Months E&ICT Academy, Indian Institute of Technology Guwahati CERT-IITG Postgraduate Cert in AI and ML India Starts on undefined Get Details Skills you'll gain: Duration: 30 Weeks IIM Kozhikode SEPO - IIMK-AI for Senior Executives India Starts on undefined Get Details Its consolidated earnings before interest, taxes, depreciation and amortisation (Ebitda) from continuing operations stood at '5,744 crore in the first quarter, down from '6,290 crore a year ago, primarily due to lower revenue and added costs from recent acquisitions. The Ebitda rose 12.7% sequentially. Adani Power's scrip closed at '566.7 on the BSE on Friday, down 3.5% from its previous close. The company said the record date for its stock split will be determined after shareholder approval and will be communicated in due course. Live Events The split means the total number of authorised shares will increase fivefold, but the overall value of authorised, subscribed, and paid-up share capital will remain unchanged at '3,856.9 crore.


Hindustan Times
an hour ago
- Hindustan Times
Who is Matt Deitke? Meta offers $250 million to a 24-year-old AI prodigy
Meta just made one of the boldest moves yet in the fierce race for AI supremacy by offering a $250 million compensation package to a 24-year-old artificial intelligence researcher. Mark Zuckerberg's $250 million compensation to Matt Deitke highlights Meta's aggressive AI recruitment strategy,(X/Matt Deitke) ALSO READ| Meta offered up to $1 billion salary to poach talent from former OpenAI CTO: Report Who is Matt Deitke? Matt Deitke, who recently left his PhD program in computer science at the University of Washington, was initially offered about $125 million over four years to join Meta, according to The New York Times. However, when he turned it down, Mark Zuckerberg personally met with Deitke and doubled the offer to around $250 million. 'When computer scientists are paid like professional athletes, we have reached the climax of the 'Revenge of the Nerds!'' MIT economist David Autor told the New York Post. After leaving academia, Deitke worked at Seattle's Allen Institute for Artificial Intelligence, where he led the creation of Molmo, a chatbot designed to interpret not just text, but also images and audio. Then in late 2023, Deitke co-founded Vercept, a startup focused on autonomous AI agents capable of navigating and executing tasks online. The company, though just 10 people strong, secured $16.5 million in funding from investors including former Google CEO Eric Schmidt. The 24-year-old also gained recognition in the research community after receiving an Outstanding Paper Award at NeurIPS 2022. Meta's race to corner AI excellence Meta's push to recruit Deitke is part of a hiring spree, with the company reportedly spending more than $1 billion to build out its AI talent. It recently hired Ruoming Pang, who previously led Apple's AI models team, in a package said to be worth more than $200 million. Meta has also committed to spending $72 billion on capital expenditures in 2025. ALSO READ| Meta wants candidates to use AI during job interviews. Yes, even during coding - Report 'We're building an elite, talent-dense team. If you're going to be spending hundreds of billions of dollars on compute and building out multiple gigawatt of clusters, then it really does make sense to compete super hard and do whatever it takes to get that, you know, 50 or 70 or whatever it is, top researchers to build your team. There's just an absolute premium for the best and most talented people,' Zuckerberg clarified the investors.


India.com
an hour ago
- India.com
ChatGPT Personal Chats Leaked On Google: How It Happened, OpenAI CEO Responds, And What Users Should Do
ChatGPT Data Leak: In today's fast-paced digital world, ChatGPT has become as essential as the internet on our smartphones. For many, it is more than just a tool — it is a trusted companion that holds countless secrets. Remember that time you poured your heart out to ChatGPT? Whether it was a messy fight with your girlfriend, late night overthinking, weird 2 AM thoughts, embarrassing kitchen mishaps, career planning, or simply searching for happiness, you shared it all with an AI that patiently listened to your problems and offered advice. Most importantly, this AI never judged you. It felt more like a close friend, like confiding in a diary that actually talks back. Now, imagine if ChatGPT exposed users' personal conversations on Google and made them available for the world to read. Chats about your problems, wild thoughts, mental health struggles, relationship advice, and even someone asking how to write a punch line to impress a girl. Sounds wild, but that is exactly what happened. In a surprising incident, thousands of private ChatGPT conversations showed up in Google search results. Some of these chats included personal topics like mental health, job stress, and relationship issues shared with the AI chatbot. ChatGPT Leak Data: How Did This Happen? OpenAI, the company behind ChatGPT, had a feature that let users share their chats using a share button. When someone clicked it and chose 'create link,' ChatGPT made a URL that could be shared with others. There was also an option called 'Make this chat discoverable.' If this was turned on, search engines like Google could show those chat links in public search results. Many users didn't understand this and turned it on by mistake, thinking it was needed to share chats with friends, without realizing it could make their chats public. The issue was first reported by Fast Company. They found that around 4,500 ChatGPT links had been indexed by Google. While many of these chats were harmless, some revealed deeply personal and sensitive details shared by users—things they never expected the world to see. ChatGPT Leak Data: What Open AI Responded OpenAI fixed the privacy issue by removing the "discoverable" option from the Share window. An OpenAI employee said it was a short lived experiment that made it too easy to share chats by mistake. Now, OpenAI's FAQ clearly says that shared chats are not public unless users choose to make them discoverable. ChatGPT Leak Data: What Users Should Do Step 1: Open ChatGPT and go to Settings. Step 2: Tap on Data Controls from the menu. Step 3: Click on Manage next to the Shared Links option. Step 4: You will now see a list of all shared chats. From here, you can delete any links you no longer want to keep public. No Legal Privacy For ChatGPT Users Adding further, OpenAI CEO Sam Altman has said that users should not expect legal privacy when using ChatGPT. Since there are no clear laws or rules about AI chats yet. However, if a legal case ever comes up, OpenAI could be required to hand over some of your most sensitive chats.