Latest news with #GPT-3
Yahoo
3 hours ago
- Business
- Yahoo
OpenAI CEO Sam Altman Calls DeepSeek's Bluff: ‘I Don't Think They Figured Out Something Way More Efficient'
Sam Altman, CEO of OpenAI, is widely recognized as one of the most influential figures in artificial intelligence (AI). His recent comments on DeepSeek, a rising AI competitor, offer insight into both his leadership style and his perspective on innovation within the field. In a recent interview with Bloomberg, Altman remarked, 'The DeepSeek team is very talented and did a lot of good things. I don't think they figured out something way more efficient than we figured out.' This assessment highlights his respect for competing teams while underscoring his confidence in OpenAI's own technological progress. More News from Barchart Is Palantir Stock a Buy Above $150? Coinbase Stock Just Hit a New 52-Week High. How Much Higher Can Crypto Week Take COIN? This Bullish Catalyst for Nvidia Stock Is Coming in September Get exclusive insights with the FREE Barchart Brief newsletter. Subscribe now for quick, incisive midday market analysis you won't find anywhere else. DeepSeek caused a near-'flash crash' among stocks involved in the AI ecosystem at the beginning of 2025 after they released an AI model to rival U.S. models at a fraction of the cost. However, the DeepSeek team largely used the OpenAI API to train their model, and, ultimately didn't create anything novel, according to Altman. Altman's authority on the subject is well established. After dropping out of Stanford University to pursue entrepreneurial ventures, he co-founded Loopt, a location-based social networking startup that sold for $43.4 million. He then served as president of Y Combinator, where he played a pivotal role in launching and scaling numerous successful startups, cementing his reputation as a force in Silicon Valley. In 2015, Altman co-founded OpenAI, leading the organization through the development of groundbreaking technologies such as GPT-3, DALL-E, and ChatGPT. Under his guidance, OpenAI has secured major investments, including a multi-year $10 billion partnership with Microsoft (MSFT), and has become a central player in the global AI landscape. Altman's comment on DeepSeek is consistent with his broader approach to competition. While he acknowledges the achievements of other teams, he remains focused on the rigorous, incremental progress that has defined OpenAI's trajectory. His statement that DeepSeek has not discovered 'something way more efficient' than OpenAI's own methods suggests a belief in the robustness and scalability of his own company's research and infrastructure. This pragmatic outlook is characteristic of Altman, who has often emphasized the importance of responsible innovation and continuous improvement over comparing oneself to their competitors. The context of Altman's remarks is particularly relevant as the AI industry becomes increasingly crowded with well-funded entrants and rapid technical advances. His perspective that efficiency breakthroughs are rare, even among talented teams, reflects both the complexity of the field and the high bar set by leading organizations. Altman's leadership has positioned OpenAI at the forefront of this competition, with products like ChatGPT achieving historic adoption rates and shaping public discourse on AI's potential and risks. Altman's frank response also aligns with his reputation for transparency and realism. He has consistently advocated for open discussion about AI's capabilities and limitations, both within the industry and in broader society. As the market for advanced AI models continues to evolve, Altman's perspective serves as a reminder that progress is often incremental and that leadership in this space requires both innovation and humility. His experience navigating the challenges of rapid technological change lends weight to his assessments, reinforcing his status as a trusted voice in the ongoing evolution of artificial intelligence. On the date of publication, Caleb Naysmith did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. This article was originally published on Sign in to access your portfolio
Gulf Today
10-07-2025
- Business
- Gulf Today
RB Labs CTO Robin Krambroeckers leads Europe's AI and Blockchain innovation frontier
Robin Krambroeckers is a German-born tech entrepreneur recognized as the co-founder and Chief Technology Officer of RobotBulls, a blockchain project focused on predictive AI applications. He began writing code at the age of twelve and quickly developed a strong interest in computational logic and design. That early pursuit grew into a career in software architecture and machine-driven mechanisms for a completely digitized environment. After gaining experience in web-based engineering and artificial intelligence, he co-founded RobotBulls in 2020 and assumed responsibility for the technical operations. He led the development and implementation of the AI trading system that powers RobotBulls today. During this period, he also contacted Greg Brockman directly and secured beta tester access to GPT-3 before its public release. He then used the model to perform sentiment analysis across tweets and on-chain transactions. Over the years, his professional proficiency has been on full display. Remarkably, he spoke at Davos 2025, where he broke down how AI could influence financial configurations from a technical standpoint. His work also led him to IJCNN 2025, presenting research on how machines can read unpredictable data patterns and respond in ways that make sense outside of a lab. Now headquartered in Geneva, Robin Krambroeckers remains active, particularly in Europe, by advising startups, joining expert panels, and building products for long-term sustainability. His current focus includes the development of precision models that bring transparency to algorithmic behavior in public and private data systems. Each project he takes on is a representation of a consistent and comprehensive standard that aligns with the dynamic requirements of a rapidly evolving field.
Business Times
05-07-2025
- Science
- Business Times
Brain cells on silicon chips: The rise of ‘biological computers'
[SINGAPORE] The brain is full of unsolved mysteries. One startup thinks that it can crack these puzzles – and even open up new possibilities in computing – by fusing brain cells with silicon. In March, Australian startup Cortical Labs unveiled what it says is the first commercial 'biological computer'. Called the CL1, the device integrates lab-grown brain cells – derived from human stem cells – with hard silicon. The CL1 can be used for drug discovery, disease modelling and research into neuroscience and information systems, Cortical Labs' chief scientific officer, Dr Brett Kagan, told me over a Zoom call. The CL1 fuses lab-grown brain cells with hard silicon. PHOTO: CORTICAL LABS With its combination of brain cells and silicon, the CL1 is meant to be able to adapt and learn faster than purely silicon-based artificial intelligence (AI). Dr Kagan said: 'Cortical Labs was started with the question in mind: 'What if we use the most powerful information processor that we currently know of?' And that, ultimately, is brain cells. Whether it's flies, cats or us, we all can do amazing things – with very little power, very little data – using brain cells.' Indeed, I was surprised to learn that the brain uses just 20 watts of power, equivalent to what a light bulb would require. BT in your inbox Start and end each day with the latest news stories and analyses delivered straight to your inbox. Sign Up Sign Up In contrast, training an AI model, such as the GPT-3 large language model, guzzles as much as 1,300 megawatt hours of electricity – enough to power about 130 homes in the US for a year. The CL1's launch follows a widely publicised paper published in the journal Neuron in 2022, which gave an account of the Cortical Labs team's efforts to train brain cells in a dish to play the arcade game Pong. 'That paper was a proof of concept to see if you could get brain cells in a dish… to process information and do something in a goal-orientated way – in this case, control a paddle to 'hit' a ball,' said Dr Kagan. 'While we weren't that surprised to see that cells could learn and respond… the speed at which they learnt and responded was surprising. We expected it would take much longer to see some meaningful learning, but in fact, it was within minutes.' Untangling a paradox Dr Kagan is excited, not just about the current applications of the CL1, but what breakthroughs it could lead to. In the near future, applications could include personalised medicine – through which scientists could grow a person's cells in a lab and test drugs on them while measuring the cells' response, enabling the treatment to be tailored to that individual. Dr Kagan believes the use of biological computers for personalised medicine could be just a few years away with proper investment, given that the technical barriers are not high. In the long term, a biological computer could be used in fields such as robotics, cybersecurity or even systems with 'generalised intelligence', or in the human-like ability to solve general problems, surpassing current AI systems. 'I think the most exciting applications may be ones that I'm not even going to be able to tell you today,' the chief scientific officer said. Of course, there are a host of ethical issues that come with such work. For instance, some would be concerned if a biological computer would be able to feel pain. 'No, the system can't feel pain – it doesn't have pain receptors (and) it's not set up to feel pain,' Dr Kagan said, adding that the company has been working with bioethicists on how such technology should move forward. He noted that scientists have grown brain cells in labs for decades, but previously had no means to test the information-processing ability of these cells. What devices like the CL1 do is introduce new possibilities. Dr Kagan references a famous quote by the American scientist Emerson Pugh: 'If the brain was so simple that we could understand it, we would be so simple that we couldn't.' Pointing to Cortical Labs' work, he added: 'What we're building here might be a way to overcome that paradox.' The rise of biological computers is just one of many weird and wonderful phenomena out there. This column routes signals away from the motherboard of regular news and into peripheral curiosities, whether in finance, economics, science, psychology, or even beyond.
Time of India
04-07-2025
- Business
- Time of India
Billionaire Mark Cuban predicts 'who will be the world's first trillionaire?' And it is not Elon Musk
Billionaire entrepreneur and former 'Shark Tank' star Mark Cuban has made a bold prediction: the world's first trillionaire will not come from rockets or electric cars, but from artificial intelligence . Speaking on the 'High Performance' podcast, Cuban said someone will harness AI in a yet-unknown way that could redefine wealth forever—and it might just be 'some dude in a basement.' Cuban, who has long been vocal about emerging tech trends, explained that current uses of AI—like virtual assistants, smart scheduling, and corporate hiring tools—are just the beginning. 'We haven't seen the best, or the craziest, of what [AI] is going to be able to do,' he said, suggesting we are still in AI's 'preseason.' From Internet Skepticism to AI Boom Comparing the current AI moment to the early days of personal computers and smartphones, Cuban believes that what seems optional or even silly today will soon become indispensable. 'People were like, 'What's this internet thing? Why do we need it?'' he recalled. 'Then five years later, people couldn't live without it. The same thing will happen with AI. People will make a lot of money.' by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Tanjung Emas: Pendingin udara tanpa unit luar. (Klik untuk melihat harga) Tonton Sekarang Undo The real game-changer, Cuban said, won't necessarily be a corporation, but an individual innovator—someone who discovers an AI application so impactful, it redefines entire industries. AI's Upsides and Alarms The explosive potential of AI isn't without warning signs. Cuban acknowledged the technology's darker sides: job displacement, misinformation, and environmental concerns. Tools like ChatGPT and Gemini can now automate tasks that once required teams, while some companies, like Duolingo, are phasing out contractors altogether in favor of AI-powered workflows. You Might Also Like: This Shark Tank billionaire investor started first business at 24 and didn't take a vacation for 7 years, for one inspiring reason Even training AI models can be resource-intensive. A study cited in Popular Mechanics reported that developing GPT-3 used enough electricity to power 120 homes in the U.S. for a year. Yet Cuban urged people not to fear the tech, but to engage with it critically and creatively. 'You Don't Need to Be a Genius to Use It' For those still unsure how to enter the AI space, Cuban had one simple recommendation: just start. 'Download Gemini from Google. Download ChatGPT... ask your questions about anything,' he advised. But he cautioned users not to assume the answers are correct. 'It's not actually thinking... It's not actually smart,' he added. 'But what it can do is find information and package it in a way that people can understand.' Ultimately, Cuban's vision is one of opportunity. AI, he says, is not about replacing people—but about helping them unlock new levels of creativity, productivity, and wealth. And somewhere out there, maybe in a garage or basement, the future's first trillionaire might already be coding away. You Might Also Like: Billionaire Mark Cuban urges stockpiling consumables before Trump's tariffs hit, but experts disagree
Economic Times
04-07-2025
- Business
- Economic Times
Billionaire Mark Cuban predicts 'who will be the world's first trillionaire?' And it is not Elon Musk
From Internet Skepticism to AI Boom AI's Upsides and Alarms You Might Also Like: This Shark Tank billionaire investor started first business at 24 and didn't take a vacation for 7 years, for one inspiring reason 'You Don't Need to Be a Genius to Use It' You Might Also Like: Billionaire Mark Cuban urges stockpiling consumables before Trump's tariffs hit, but experts disagree Billionaire entrepreneur and former 'Shark Tank' star Mark Cuban has made a bold prediction: the world's first trillionaire will not come from rockets or electric cars, but from artificial intelligence . Speaking on the 'High Performance' podcast, Cuban said someone will harness AI in a yet-unknown way that could redefine wealth forever—and it might just be 'some dude in a basement.'Cuban, who has long been vocal about emerging tech trends, explained that current uses of AI—like virtual assistants, smart scheduling, and corporate hiring tools—are just the beginning. 'We haven't seen the best, or the craziest, of what [AI] is going to be able to do,' he said, suggesting we are still in AI's 'preseason.'Comparing the current AI moment to the early days of personal computers and smartphones, Cuban believes that what seems optional or even silly today will soon become indispensable. 'People were like, 'What's this internet thing? Why do we need it?'' he recalled. 'Then five years later, people couldn't live without it. The same thing will happen with AI. People will make a lot of money.'The real game-changer, Cuban said, won't necessarily be a corporation, but an individual innovator—someone who discovers an AI application so impactful, it redefines entire explosive potential of AI isn't without warning signs. Cuban acknowledged the technology's darker sides: job displacement, misinformation, and environmental concerns. Tools like ChatGPT and Gemini can now automate tasks that once required teams, while some companies, like Duolingo, are phasing out contractors altogether in favor of AI-powered training AI models can be resource-intensive. A study cited in Popular Mechanics reported that developing GPT-3 used enough electricity to power 120 homes in the U.S. for a year. Yet Cuban urged people not to fear the tech, but to engage with it critically and those still unsure how to enter the AI space, Cuban had one simple recommendation: just start. 'Download Gemini from Google. Download ChatGPT... ask your questions about anything,' he advised. But he cautioned users not to assume the answers are correct. 'It's not actually thinking... It's not actually smart,' he added. 'But what it can do is find information and package it in a way that people can understand.'Ultimately, Cuban's vision is one of opportunity. AI, he says, is not about replacing people—but about helping them unlock new levels of creativity, productivity, and wealth. And somewhere out there, maybe in a garage or basement, the future's first trillionaire might already be coding away.
