Latest news with #InternationalMathOlympiad
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Business Standard
4 days ago
- Business
- Business Standard
Google DeepMind sees AGI within five years, bets big on India AI hub
Google DeepMind expects artificial general intelligence (AGI) within four to five years, with significant AI development being driven from its expanding India operations premium Peerzada Abrar Listen to This Article Google DeepMind expects artificial general intelligence (AGI) capabilities to emerge within four to five years, as the company accelerates AI development from its expanding India operations. Dr. Manish Gupta, senior director for India and APAC at Google DeepMind, said the company's Gemini models are already demonstrating 'superhuman capabilities' in areas like mathematics, with one model achieving gold medal-level performance on International Math Olympiad problems. 'We believe that you will see capabilities that could be at least arguably termed as AGI, perhaps in the next four to five years,' Gupta told Business Standard in an interview. Much of that development work
Indian Express
6 days ago
- Business
- Indian Express
OpenAI to unveil GPT-5 in August: Here's how it is different
OpenAI is gearing up to introduce its much-awaited GPT-5 model. While CEO Sam Altman has been hinting at a potential early launch, no reports suggest that the new LLM from OpenAI could arrive as early as August 2025. Reportedly, the new model will be launched along with nano and mini versions and API access for developers. The upcoming AI model has been in the making for a long time and has been delayed multiple times. In February this year, the company introduced GPT-4.5 Orion to ChatGPT Pro users. While the company has launched a number of AI models, the launch of GPT-5 has been repeatedly changed owing to safety tests and refinements. On July 19, when OpenAI's experimental reasoning LLM achieved a gold medal-level performance in the International Math Olympiad, CEO Sam Altman took to his X account to share the news. While lauding the company's efforts, he also said that they would be launching GPT-5 soon. Describing the model, Altman said that it was an experimental model that incorporates new research techniques that the company will be using in its future models. 'We think you will love GPT-5, but we don't plan to release a model with IMO gold-level capability for many months,' he wrote. we achieved gold medal level performance on the 2025 IMO competition with a general-purpose reasoning system! to emphasize, this is an LLM doing math and not a specific formal math system; it is part of our main push towards general intelligence. when we first started openai,… — Sam Altman (@sama) July 19, 2025 Murmurs around GPT-5 were heard earlier this month after 'GPT-5 Reasoning Alpha' appeared in the configuration file as shared on X by Tibor Blaho, an engineer. While earlier, Altman had said that GPT-5 will be arriving in Summer 2025, newer reports now suggest that the model will be arriving next month. When it comes to features, GPT-5 is expected to be a significant leap from its predecessors and would come with unified multimodal capabilities that would integrate text, audio, image, and video processing—all of this into one architecture. The model is also reported to feature advanced reasoning capabilities with hybrid architecture for enhanced logical reasoning and problem-solving. The context window is expected to be extended beyond one million tokens in contrast to GPT-4's 128,000 tokens. Other expected features include native Sora integration and advanced Canvas tools. GPT-5 will also be working towards reducing hallucinations substantially. And, this reportedly will be achieved by implementing a chain of thought (CoT) mechanism.
Time of India
7 days ago
- Business
- Time of India
OpenAI plans to launch GPT-5 in August: Report
OpenAI is gearing up to launch GPT‑5 in early August 2025, following a delay for additional testing. In April, Altman announced a shift in the company's AI model release schedule, revealing that intermediate models known as 'o3' and 'o4-mini' will be launched in the coming weeks, ahead of the much-anticipated GPT-5 rollout. Tired of too many ads? Remove Ads Tired of too many ads? Remove Ads Sam Altman-led OpenAI is planning to launch its much awaited advanced artificial intelligence (AI) model GPT 5 in August, according to a report by The news comes after Altman 's statement to make free copy of GPT-5 available to everybody. 'I am very interested in what it means to give everybody on Earth a free copy of GPT-5, running for them all the time," he also shared plans to roll out GPT-5 on microblogging platform X on July 19. However, he said it is not yet capable of solving the very hardest math problems, such as those in the International Math Olympiad (IMO).'We are releasing GPT-5 soon but want to set accurate expectations: this is an experimental model that incorporates new research techniques we will use in future models,' he said.'We think you will love GPT-5, but we don't plan to release a model with IMO gold level of capability for many months,' he April, Altman announced a shift in the company's AI model release schedule, revealing that intermediate models known as 'o3' and 'o4-mini' will be launched in the coming weeks, ahead of the much-anticipated GPT-5 this month, Reuters reported that the company is also preparing to launch an AI-powered web browser that would directly compete with Google Chrome. This follows the recent release of ChatGPT Agent , a new tool that can perform tasks on users' computers autonomously.
Geeky Gadgets
7 days ago
- Science
- Geeky Gadgets
The Truth Behind AI'd Gold Medal Math Olympiad : What the Media Isn't Saying
What if the next headline you read about AI wasn't just exciting—but also misleading? Imagine seeing 'AI Wins Gold at the International Math Olympiad' and immediately picturing a machine outsmarting the brightest human minds in real-world problem-solving. Sounds new, right? But here's the catch: while OpenAI's model did earn a gold medal, it also stumbled on the most creative problem, exposing the limits of its reasoning. This isn't just a story of triumph—it's a reminder of how easily we can misinterpret AI's achievements when headlines oversimplify the nuances. In a world captivated by AI breakthroughs, the way we read and interpret these milestones matters more than ever. This perspective AI Explained unpacks the layers behind AI's latest accomplishments, from its gold medal at the IMO to the unveiling of GPT-5, and explores what these advancements truly mean for society. You'll discover why AI's victories often come with caveats, how competition between tech giants shapes the narrative, and why transparency in AI research is more urgent than ever. Along the way, we'll challenge the hype and highlight the critical questions that often go unasked. Understanding AI's strengths and limitations isn't just about staying informed—it's about shaping how we prepare for the future. After all, the headlines may dazzle, but the real story lies in the details we often overlook. AI Wins Gold at IMO AI's Performance at the International Math Olympiad OpenAI's model successfully solved five out of six problems at the IMO, earning a gold medal. This is particularly noteworthy because the model was not specifically trained for mathematics. However, it struggled with the most complex problem, which required creative reasoning—a skill that remains challenging for AI to replicate. This limitation underscores a crucial distinction: while AI demonstrates exceptional computational efficiency, it often falls short in areas requiring nuanced ingenuity and abstract thinking. Achievements like these, though impressive, are confined to controlled environments and do not necessarily translate to solving real-world challenges. By highlighting both strengths and weaknesses, this milestone serves as a reminder of the boundaries of current AI technology. Competitive Dynamics in AI Research The announcement also sheds light on the competitive nature of AI research. OpenAI's achievement comes amid reports that Google DeepMind has achieved similar results, though detailed findings have not yet been released. The timing of OpenAI's announcement has sparked speculation about strategic positioning in the race for AI dominance. This rivalry reflects a broader trend in the field, where public perception and technological milestones increasingly shape the narrative. As organizations compete to showcase their breakthroughs, the focus often shifts from collaboration to competition. This competitive environment raises questions about transparency and the potential for shared progress, as companies prioritize proprietary advancements over open collaboration. How Not to Read a Headline on AI Watch this video on YouTube. Browse through more resources below from our in-depth content covering more areas on AI reasoning. Implications for the Workforce AI's growing proficiency in reasoning and professional tasks has profound implications for the workforce. Tools like OpenAI's agent mode demonstrate the potential to enhance productivity, but they also raise concerns about job displacement, particularly in entry-level roles. For example, AI can now draft reports, analyze data, and assist in legal research—tasks traditionally performed by humans. While these advancements streamline workflows and improve efficiency, they also challenge traditional career pathways. This shift emphasizes the need for workforce training and education to help individuals adapt to an evolving job market. Preparing for these changes will require proactive measures to ensure that workers can thrive alongside AI technologies. Limitations and Risks of AI Models Despite its achievements, AI remains far from flawless. One of the most significant challenges is hallucination, where the model generates incorrect or nonsensical information. This poses serious risks in high-stakes fields such as financial analysis, medical research, or legal decision-making. Moreover, AI's performance can vary widely depending on the context, with its weakest moments undermining its reliability. These limitations highlight the importance of cautious deployment and rigorous oversight, especially in industries where errors can have severe consequences. Making sure that AI is used responsibly requires a combination of technical safeguards, ethical guidelines, and regulatory frameworks. The Transparency Problem in AI Research A critical issue in AI development is the lack of transparency. OpenAI's announcement, while impressive, provided limited insight into the methodology, computational resources, or costs involved in training the model. This opacity makes it difficult for researchers, policymakers, and the public to assess the broader implications of such achievements. Greater transparency—through peer-reviewed publications, open data sharing, and detailed disclosures—could foster a more collaborative and accountable research environment. This would not only benefit the AI community but also help build public trust in these technologies. Transparency is essential for making sure that AI advancements are understood, scrutinized, and responsibly integrated into society. Broader Applications and Contextual Challenges AI's impact extends far beyond academic benchmarks like the IMO. In software development, for instance, AI tools can assist with coding and debugging. However, they may also introduce inefficiencies for experienced developers by generating suboptimal solutions that require additional refinement. On the other hand, AI has delivered tangible benefits in areas such as data center management, where it has optimized energy usage and reduced operational costs. These mixed results underscore the importance of context when evaluating AI's effectiveness. Success in one domain does not guarantee universal applicability, and careful consideration is needed to determine where AI can truly add value. Misinterpreting AI Achievements Headlines celebrating AI milestones can sometimes lead to overestimations of its capabilities. For example, solving IMO problems is undoubtedly impressive, but it does not equate to replacing human creativity or expertise in complex, real-world scenarios. Similarly, benchmarks like the IMO, while valuable, do not fully capture AI's practical utility across diverse applications. It is essential to maintain a nuanced understanding of these achievements to avoid misconceptions about AI's true potential. By critically evaluating such milestones, you can better appreciate both the opportunities and limitations of this rapidly evolving technology. Looking Ahead: Navigating the Future of AI The release of new models, such as GPT-5, promises further advancements in AI reasoning and problem-solving. Competitors like Google DeepMind are also expected to unveil their own breakthroughs, intensifying the pace of innovation. However, it is crucial to approach these developments with a balanced perspective. While AI's progress is undeniable, its limitations remain significant. Recognizing both its potential and its shortcomings is essential for navigating this complex field responsibly. As AI continues to evolve, staying informed and thoughtful will help ensure that its benefits are maximized while its risks are carefully managed. Media Credit: AI Explained Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Time of India
24-07-2025
- Business
- Time of India
Porsches, triple salaries & $100 million offers: AI startups go wild with hiring offers as tech giants scoop top talent
Startups are pulling out all the stops to attract AI talent, with Composio offering a Porsche for successful referrals and Cluely tripling salaries for designers. BENGALURU: When Karan Vaidya, co-founder of AI infra startup Composio, promised a Porsche to anyone who referred a product engineer who joined their San Francisco team and stayed for three months, it sounded like a spiel. "Not kidding," he wrote in the now-viral X post, complete with a photo of a black Porsche model he had in mind. You Can Also Check: Bengaluru AQI | Weather in Bengaluru | Bank Holidays in Bengaluru | Public Holidays in Bengaluru Just hours later, Roy Lee, co-founder of Cluely, another early-stage AI startup, chimed in with his own no-nonsense offer. "I'll triple your base salary," he posted, as he searched for a founding designer. "No questions asked." The timing is uncanny. This same week, Microsoft reportedly poached 24 AI researchers from Google DeepMind, including Amar Subramanya, the former engineering head of Gemini team who is now a corporate VP at Microsoft AI. Meta hired three DeepMind experts who had helped build a language model that achieved gold medal-level performance in the International Math Olympiad. Big money can hurt small AI teams, say experts Meta has also been aggressively staffing its new Superintelligence unit, reportedly offering compensation packages of over $100 million to lure top researchers from OpenAI and Anthropic. "There's a real risk that we're overpaying for momentum and mistaking it for durability," said Manav Garg, co-founder and managing partner at Together Fund. "High-visibility compensation moves can bring in mercenaries rather than missionaries. That's dangerous for early-stage companies where cultural fit and long-term belief in the vision are as critical as technical skill." For many investors, the current frenzy feels inevitable. "Talent is IP," said Avijeet Alagathi, founder of Shastra VC. "Capital solves for little in this space, so it's being used to buy and retain talent." Thiyagarajan Maruthavanan, co-founder at Upekkha, described the market as unforgiving. "In artificial intelligence , the fourth player doesn't even matter," he said. "The people who can orchestrate systems at scale are reaching infinite price." For now, in a winner-takes-all environment, founders are betting that conviction, like a Porsche, can still turn heads.
