Latest news with #GPT
Economic Times
11 hours ago
- Business
- Economic Times
DeepSeek can undercut larger ChatGPT, ace investor Mary Meeker warns
Mary Meeker predicts AI will spawn numerous trillion-dollar companies, with competition intensifying from firms like China's DeepSeek. Rising training costs for leading US models, such as OpenAI's GPT, are creating opportunities for cheaper, task-specific alternatives. The current AI landscape resembles a capital-intensive commodity market, demanding deep funding and patient investors for startups to thrive. Tired of too many ads? Remove Ads Tired of too many ads? Remove Ads Artificial intelligence (AI) forerunners like OpenAI could soon face serious competition from cheaper rivals such as China's DeepSeek , according to renowned Silicon Valley analyst and investor Mary Meeker Meeker, an early investor in companies like Meta, Spotify, and Airbnb, told the Financial Times that AI will create 'multiple companies worth $10 trillion' — and not all of them will be based in North America. 'The wealth creation will be extraordinary. We've never had a five-billion-user market that was this easy to reach,' she a recent report, Meeker and others point out that US companies, such as OpenAI's GPT and Google's Gemini, leading the development of large language models (LLMs) are now facing rising training costs. At the same time, competition from players like DeepSeek has intensified.'The business model is in flux,' Meeker wrote. 'Smaller, cheaper models tailored for specific tasks are emerging, challenging the idea that one large, general-purpose LLM can do it all.'While AI companies have enjoyed rise in revenues and stock prices, they face growing threats. New, more powerful chips and improved algorithms are lowering the cost of running AI models. This is helping competitors like DeepSeek launch models that are more affordable and goes on to underscore that, in the short term, these AI businesses are starting to look like commodity operations that burn through venture capital at a rapid pace. Despite the advances in the space, training the most advanced AI models is still extremely expensive. Costs have increased 2,400 times in the past eight years, making it nearly impossible for smaller players to compete. Only a few companies can afford to keep up, and even those lack a clear path to lower prices and more model options benefit consumers, they create a tough environment for startups. To survive, these companies need deep funding and patient investors. Meeker compares their situation to companies like Uber, Amazon, and Tesla , which all spent heavily for years before turning a reported earlier this week how several Indian startups may have to tap external funding to scale up their GenAI-based applications as AI companies such as OpenAI and Anthropic pause steep price cuts of their generative AI rose to fame during her time at Morgan Stanley with bets like Google and Apple, earning the moniker "queen of the internet". She joined venture capital firm Kleiner Perkins in 2010 and later co-founded her own firm, Bond, in 2019.
Time of India
13 hours ago
- Business
- Time of India
DeepSeek can undercut larger ChatGPT, ace investor Mary Meeker warns
Artificial intelligence (AI) forerunners like OpenAI could soon face serious competition from cheaper rivals such as China's DeepSeek , according to renowned Silicon Valley analyst and investor Mary Meeker . Meeker, an early investor in companies like Meta, Spotify, and Airbnb, told the Financial Times that AI will create 'multiple companies worth $10 trillion' — and not all of them will be based in North America. 'The wealth creation will be extraordinary. We've never had a five-billion-user market that was this easy to reach,' she added. In a recent report, Meeker and others point out that US companies, such as OpenAI's GPT and Google's Gemini, leading the development of large language models (LLMs) are now facing rising training costs. At the same time, competition from players like DeepSeek has intensified. 'The business model is in flux,' Meeker wrote. 'Smaller, cheaper models tailored for specific tasks are emerging, challenging the idea that one large, general-purpose LLM can do it all.' While AI companies have enjoyed rise in revenues and stock prices, they face growing threats. New, more powerful chips and improved algorithms are lowering the cost of running AI models. This is helping competitors like DeepSeek launch models that are more affordable and efficient. Live Events She goes on to underscore that, in the short term, these AI businesses are starting to look like commodity operations that burn through venture capital at a rapid pace. Despite the advances in the space, training the most advanced AI models is still extremely expensive. Costs have increased 2,400 times in the past eight years, making it nearly impossible for smaller players to compete. Only a few companies can afford to keep up, and even those lack a clear path to profitability. Discover the stories of your interest Blockchain 5 Stories Cyber-safety 7 Stories Fintech 9 Stories E-comm 9 Stories ML 8 Stories Edtech 6 Stories While lower prices and more model options benefit consumers, they create a tough environment for startups. To survive, these companies need deep funding and patient investors. Meeker compares their situation to companies like Uber, Amazon, and Tesla , which all spent heavily for years before turning a profit. ET reported earlier this week how several Indian startups may have to tap external funding to scale up their GenAI-based applications as AI companies such as OpenAI and Anthropic pause steep price cuts of their generative AI models. Meeker rose to fame during her time at Morgan Stanley with bets like Google and Apple, earning the moniker "queen of the internet". She joined venture capital firm Kleiner Perkins in 2010 and later co-founded her own firm, Bond, in 2019.
Yahoo
a day ago
- Business
- Yahoo
Google's antitrust trial wraps up: What's next for Chrome
Google's (GOOG, GOOGL) battle with the Justice Department nears its end as attorneys deliver closing arguments in the high-profile antitrust case over Chrome and search dominance. Yahoo Finance Technology Editor Dan Howley joins Market Domination to explain what's at stake for Google's browser and how the rise of artificial intelligence (AI) search tools is reshaping the landscape. To watch more expert insights and analysis on the latest market action, check out more Market Domination here. All right, Google and the Justice Department's landmark antitrust trial coming to a close, attorneys making their closing arguments as the search giant fights to keep its Chrome business nine months after a federal judge ruled that Google has an illegal monopoly in the search engine market. Our finance is Dan Hali joins us now. Dan, the judge overseeing this case, uh, questioning the future of search engines amid the rise of AI? Yeah, Josh, Judge Mehta, he's the, uh, the same judge that, uh, sided with the DOJ originally, saying that Google maintains an illegal monopoly in the search industry. He's also now going to decide what happens to Google, uh, whether or not they get to hold on to their Chrome browser, whether or not they have to share some of their data with competitors, and whether or not they have to stop doing exclusive agreements with the likes of Apple and Samsung. So let's just kind of break that down. The first part, Chrome would be a dramatic change for Google. The base search on Chrome is obviously Google search and Chrome is the most used browser in the world. So if Google loses that, uh, and the, uh, Google is no longer the base search engine for Chrome, where some other company snaps it up, that could give rivals a big advantage. On the other side, when it comes to those exclusive agreements with the likes of Apple and Samsung, it would hurt both Google and Apple and Samsung to a degree. Basically, Google gets placement as the default search engine in Apple Safari and other services. In return, Apple gets $20 billion a year that goes into its services revenue, which is a nice chunk of change when it comes to the annual services revenue. So that would also be an issue overall. And then Google says that sharing its data would just give more advantage to its competitors. But this all comes as you've alluded to, is there's this backdrop of AI search that's kind of exploding now with, you know, the start of chat GPT, uh, in 2022, excuse me, 2023, moving on throughout. And, you know, we have chat GPT has its own search engine now, perplexity is a search engine. Uh, we have anthropic and Claude that can do real-time search as well. Uh, Google isn't sitting down, uh, sitting on the sidelines though. They have their AI overviews as well as their new AI mode, which is more or less a version of chat GPT or arrival to chat GPT. But there's also concerns that Google may be losing some of its market share. There was a portion of this trial where Apple SVP Eddy Cue came in and said, look, we saw the first decline in search queries in Safari in April. And that's, that was a first for them. Obviously, the fact that Google is the original search or the default search engine for Safari means that they saw a decline in Google search as well. But Google kind of shot back and said, look, we're seeing increases in Google search overall still, including on iOS devices. So it's going to be interesting to see how this all turns out. All right, we'll be watching. Dan, thank you. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Korea Herald
2 days ago
- Business
- Korea Herald
What OpenAI's expansion to Korea means for market?
OpenAI, the creator of ChatGPT, has officially established a Korean subsidiary, marking a significant step in its expansion into the Korean market. The move comes after earlier regional entries in Tokyo and Singapore, underlining Asia's growing importance in the company's global strategy. OpenAI's approach goes far beyond simply opening subsidiaries, according to industry sources on Friday. In each country, the firm is implementing a multilayered strategy that includes developing localized artificial intelligence models, forging enterprise partnerships, aligning with public policy and investing in digital infrastructure. Sources say there are compelling reasons for OpenAI's arrival in Korea. The nation continues to rank among the global leaders in key technological and societal metrics related to AI. The 2025 AI index report published by Stanford University's Institute for Human-Centered AI showed that Korea topped the world in AI patent applications per 100,000 people. As of 2023, Korea filed 17.3 AI patents per 100,000 people — surpassing Luxembourg (15.3), China (6.1) and the US (5.2). Korea also ranks high in AI receptiveness. The same report cited global surveys indicating that Koreans, along with people in China, Indonesia and Thailand, exhibit a particularly positive perception of AI. The environment fosters early commercialization, smoother beta testing and rapid user adoption of AI-based services. 'Korea is not merely a technology adopter,' said an industry source who requested anonymity. 'It is a proven test bed where global AI strategies can be executed and scaled. The new Seoul office should be seen not just as a local outpost, but as a strategic pivot point.' OpenAI's anticipated roles in Korea include: enhancing GPT models with Korean language optimization, deploying ChatGPT Enterprise for domestic corporations and public institutions, establishing research hubs in collaboration with academia and industry, recruiting and training local AI talent and engaging in policy and infrastructure partnerships. Of particular interest is the potential for deeper cooperation with the Korean government. Through initiatives like "OpenAI for Countries," the company may explore building AI data centers and testing infrastructure within Korea. OpenAI's Korean entry also raises questions about its possible impact on the local search engine landscape. With last year's debut of ChatGPT Search — a service that blends chatbot capabilities with real-time information retrieval — OpenAI has begun nudging into territory long dominated by domestic platforms. As of Wednesday, according to Internet Trend, Naver held 57.41 percent of Korea's search market, followed by Google at 34.45 percent and Microsoft Bing at 3.98 percent. However, this marks a notable decline from Naver's nearly 80 percent market share in 2015. Despite the shifting landscape, Naver CEO Choi Soo-yeon expressed confidence during the company's first quarter earnings call earlier this month, saying that 'there has been no negative traffic impact from generative AI services.' Instead of competing on raw market share, Naver is focusing on increasing user engagement through AI-powered features like 'AI Briefing,' launched in March. The tool summarizes search results and provides source citations in response to user queries. OpenAI, for its part, appears unbothered by the speculation. When asked if it now considers itself a 'search platform,' the firm's official responded with a smile, emphasizing that 'we're not here to target any specific portal's market share — it's simply a global trend unfolding.'
Geek Vibes Nation
2 days ago
- Business
- Geek Vibes Nation
From AI To Gen AI: How Cloud Computing Is Accelerating Intelligent Automation
Over the past few years, AI has gone from being a future idea to a basic technology used by many industries. AI allows organizations in both customer service and manufacturing to streamline their workflows and make better decisions. Our shift to Gen AI in AI is bringing about an increased use of intelligent automation, made stronger by cloud computing. When Gen AI is linked to cloud computing, it affects more than technology; it also reforms how enterprises work, experiment and reach their targets. Still, what roles does cloud computing play in this development? How can we help professionals keep up with these evolving trends? We're ready to get started. Being aware of the stance from AI to Gen AI To truly value cloud computing, you must be familiar with the movement of AI into Gen AI. AI systems that use traditional approaches receive training from organized data, then look for patterns and generate predictions or decisions. You might think about machine learning algorithms that distinguish images, estimate sales or recognize fraud. Generative AI is an even bigger development than creating repetitive text. It does not limit itself to understanding or forecasting; it also makes original work. With help from GPT and diffusion models for image generation, Gen AI generates text that reads like what a human would write, as well as types of coding, musical pieces, videos and anything else viable. Because of this capability, AI is starting to carry out creative and thought tasks that people previously did alone — writing advertisements, designing models and providing data for training other models. Cloud Computing Supports the Main Framework for Intelligent Automation Although Gen AI has a lot of promise, it takes a lot of effort and resources to create and implement these models. Very large language models (LLMs) cannot be trained unless one has a lot of data, powerful computers and enough storage — and all of these are readily available through cloud computing. Here's why cloud platforms are speeding up the Gen AI revolution for automation. Easily Scalable Resources for Model Training and Using the Model GPT-4 and Google's Gemini need billions of parameters and a large amount of data to develop their models. The way organizations run on their own servers is not flexible enough to tackle today's requirements. People working in AI can quickly increase or reduce compute power (AWS EC2, Google TPUs, Azure VMs) from the cloud as needed. This way, AI is accessible to startups, educational places, as well as technology leaders, since they can test and use the cloud or pay as needed. Qlouds offers a straightforward way to use pre-made models and APIs. Providers of cloud technology now make Gen AI models accessible via application programming interfaces. You can access OpenAI's models on Azure, as well as Google's PaLM models from Vertex AI. By doing this, Gen AI now allows developers to build apps using existing models, instead of having to build and train their own. It only takes calling an API for businesses to add tasks such as summarization, translation or the generation of images into their processes, resulting in much shorter development times. Artificial Intelligence development with integrated toolchains Developing AI in the cloud is supported by complete platforms used along the entire process. Such resources consist of data import tools, places to train models (for example, SageMaker and Azure ML Studio), tracking experiments, versions of the models and MLOps pipelines. With this integration, automated solutions are developed more easily as data science, engineering and operations teams work together without as many problems. Organizations should focus on Security, Compliance and Governance. Because AI is now central to business operations, data privacy and the integrity of models are very important. Thanks to advanced security measures, identity verification, logs for everything and compliance certifications, businesses can rely on the AI they create. Intelligent Automation in Real Business Settings Take a look at these ways in which Gen AI and the cloud are supporting intelligent automation: Gen AI courses are used to train agents of AI on specific information, letting them address consumer concerns with natural speech which reduces work for people. Developers can now use GitHub Copilot which uses Gen AI, to make programming faster and help avoid making errors. IDP systems supported by Gen AI enable people in financial services to retrieve information from invoices, contracts and KYC documentation much faster with fewer mistakes. AI diagnostics in healthcare work with cloud records and images to notice diseases early and form fitting treatment plans just for each person. Gaining new knowledge for the age of AI and the Cloud Since there is an upsurge in Gen AI-powered automation by companies, skilled people who can handle both AI and cloud are needed more than ever. All types of developers and data professionals need to learn more about these areas to stay important. Join an artificial intelligence course to gain solid knowledge of machine learning, deep learning and natural language processing. Most of these programs involve doing projects with data that is typical within a company setting. Find courses that cover large language models, prompt engineering, ethical AI and building things with APIs from companies including OpenAI, Cohere and Anthropic. Don't forget the basics — take on cloud computing courses to master cloud architecture, creating code for your infrastructure, dockerization and the services provided by AWS, Azure and Google Cloud. Connecting information from these three parts of engineering helps professionals build solutions that truly matter. What's ahead: Introducing the New Wave of Co-Pilots The future will see cloud computing and Gen AI working together as the main drivers of new digital change. We are headed toward having AI assistants at our sides in many fields such as HR, finance, law and creative industries. Not only will these systems take care of routine activities, but they will also work together with people to make work more effective and encourage new ideas. More mature quantum computing and edge AI will fuel the growth of cloud platforms as the central system for this smart enterprise. Conclusion Cloud computing is playing a big role in the growth of intelligent automation from AI to Gen AI. Because of this combination, businesses are able to invent more quickly, expand more wisely and use their resources more effectively. As technology advances, anyone focused on learning both AI, Gen AI and cloud computing will help design the future. No matter if you're new to AI or seeking greater expertise, now is the best time to look for the right courses on artificial intelligence, dabble in gen ai classes and build a stronger base with cloud computing courses. Caroline is doing her graduation in IT from the University of South California but keens to work as a freelance blogger. She loves to write on the latest information about IoT, technology, and business. She has innovative ideas and shares her experience with her readers.
