&w=3840&q=100)
OpenAI removes ChatGPT share tool after privacy risks, Google indexing
The feature, which was introduced as a limited experiment, enabled users to share chatbot conversations by selecting the option to 'Make this chat discoverable'. Once enabled, the chosen chat could be indexed by search engines, including Google. Although the tool required multiple opt-in steps and anonymised shared content, OpenAI acknowledged that users might unintentionally expose personal information.
'We just removed a feature from @ChatGPTapp that allowed users to make their conversations discoverable by search engines, such as Google,' Dane Stuckey, OpenAI's chief information security officer, said in a post on X on Thursday. 'Ultimately, we think this feature introduced too many opportunities for folks to accidentally share things they didn't intend to, so we're removing the option.'
Chats shared using ChatGPT feature appear in Google search results
Concerns emerged earlier this week after Fast Company reported that conversations shared using the feature were being indexed by Google. The issue gained further attention when a newsletter writer posted on X that some shared conversations contained personal content, including discussions of mental health and workplace issues. Several users responded by highlighting examples of private exchanges that had become publicly visible.
Although the feature required users to select specific chats and confirm sharing intent via a checkbox, OpenAI acknowledged the risk of users enabling the setting without fully understanding the consequences. The shared chats did not include user names or identifying details, but the content itself could reveal sensitive topics.
OpenAI removes feature, delisting in progress
OpenAI confirmed that the feature is being removed from all accounts and that it is working with search engines to delist any content that was indexed during the experiment. The company expects this process to be completed by Friday morning.
'Security and privacy are paramount for us,' Stuckey said. 'We'll keep working to maximally reflect that in our products and features.'
The feature was originally intended to support the discovery of useful or informative chatbot interactions that might benefit a broader audience. Its removal highlights the challenges technology companies face in balancing transparency and learning opportunities with strong privacy protections, particularly as AI tools see increasing use in personal and professional contexts.

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

Economic Times
21 minutes ago
- Economic Times
High school maths trumps Olympiad gold medalist AI models: Google Deepmind CEO answers why
Google Deepmind chief executive Demis Hassabis said that advanced AI models like Gemini can surpass benchmarks like the International Mathematical Olympiad (IMO) but struggle with basic high school maths problems due to inconsistencies. "The lack of consistency in AI is a major barrier to achieving artificial general intelligence (AGI), " he said on the "Google for Developers" podcast, adding that it is a major roadblock in the journey. Artificial general intelligence, or AGI, is generally understood as software that has the general cognitive abilities of human beings and can perform any task that a human can. He also referred to Google CEO Sundar Pichai's description of the current state of AI as "AJI", or artificial jagged intelligence, where systems excel in certain tasks but fail in others. Road towards AGI The Deepmind CEO said just increasing data and computing power won't suffice to solve the problem at highlighted that rigorous testing and challenging benchmarks can precisely measure an AI model's accurate progress."We need better testing and new, more challenging benchmarks to determine precisely what the models excel at and what they don't." Also Read: AI helps Big Tech score big numbers Not just Google ET reported that artificial intelligence (AI) agents, hailed as the "next big thing" by major tech players like Google, OpenAI, and Anthropic, are expected to be a major focus and trend this year. OpenAI launched Operator, its first AI agent, in January this year, for Pro users across multiple regions, including Australia, Brazil, Canada, India, Japan, Singapore, South Korea, the UK, and most places where ChatGPT is October, Anthropic launched an upgraded version of its Claude 3.5 Sonnet model, which can interact with any desktop application. This AI agent can perform desktop-level commands and browse the web to complete tasks. Also Read: ETtech Explainer | Artificial general intelligence: an enabler or a destroyer


News18
an hour ago
- News18
Who Is Aravind Srinivas? Meet Perplexity CEO Behind $34.5 Billion Bid For Google Chrome
He co-founded Perplexity AI in 2022 alongside Denis Yarats, Johnny Ho, and Andy Konwinski. An Indian-origin tech entrepreneur is making waves across the tech world after making an audacious offer to acquire Google Chrome. Aravind Srinivas, CEO of the AI startup Perplexity, recently sent a letter to Google CEO Sundar Pichai on August 12, proposing an all-cash acquisition of the popular web browser, as reported by Reuters. In a bold and unexpected move, Srinivas' company has offered a staggering $34.5 billion to purchase Google Chrome, despite Perplexity AI reportedly being valued at around $18 billion. The unsolicited bid, which significantly overshoots the company's own valuation, has sparked surprise and curiosity across the global tech landscape. Srinivas, 31, was born and raised in Chennai, India. A graduate of IIT Madras, he later pursued higher education at the University of California, Berkeley. He co-founded Perplexity AI in 2022 alongside Denis Yarats, Johnny Ho, and Andy Konwinski. The company's core product is an AI-powered search engine designed to deliver direct, conversational answers using real-time information, positioning itself as a potential challenger to traditional search engines like Google. Before launching Perplexity, Srinivas accumulated valuable experience in the AI and tech ecosystem, having previously worked at Google, and collaborated with influential AI researcher Yoshua Bengio. These formative roles helped shape his expertise in search and information retrieval technologies, which are now at the heart of his company's mission. The timing of the bid is noteworthy. Google is currently facing legal challenges following a major antitrust ruling in the United States. A US District Judge recently ruled that Google had maintained its search monopoly through illegal practices, including paying billions to remain the default search option on devices and browsers. Google has announced plans to appeal, but the litigation process could take years. So far, Google has not issued a public response to Srinivas' acquisition offer. While Perplexity has only raised around $1 billion to date, it claims that multiple investment firms have offered to fully fund the proposed deal. However, the company has not disclosed the names of these potential financiers. Whether Google will entertain the proposal remains unclear, but the bid has already placed Aravind Srinivas and Perplexity AI firmly in the global spotlight. view comments First Published: Disclaimer: Comments reflect users' views, not News18's. Please keep discussions respectful and constructive. Abusive, defamatory, or illegal comments will be removed. News18 may disable any comment at its discretion. By posting, you agree to our Terms of Use and Privacy Policy.
&w=3840&q=100)

Business Standard
2 hours ago
- Business Standard
GenAI paradox: Companies pouring billions into AI; it has yet to pay off
Nearly four decades ago, when the personal computer boom was in full swing, a phenomenon known as the 'productivity paradox' emerged. It was a reference to how, despite companies' huge investments in new technology, there was scant evidence of a corresponding gain in workers' efficiency. Today, the same paradox is appearing, but with generative artificial intelligence. According to recent research from McKinsey & Company, nearly eight in 10 companies have reported using generative AI, but just as many have reported 'no significant bottom-line impact'. AI technology has been racing ahead with chatbots like ChatGPT, fueled by a high-stakes arms race among tech giants and superrich start-ups and prompting an expectation that everything from back-office accounting to customer service will be revolutionised. But the payoff for businesses outside the tech sector is lagging behind, plagued by issues including an irritating tendency by chatbots to make stuff up. That means that businesses will have to continue to invest billions to avoid falling behind — but it could be years before the technology delivers an economywide payoff, as companies gradually figure out what works best. Call it the 'the generative AI paradox,' as McKinsey did in its research report. Investments in generative AI by businesses are expected to increase 94 per cent this year to $61.9 billion, according to IDC, a technology research firm. But the percentage of companies abandoning most of their AI pilot projects soared to 42 per cent by the end of 2024, up from 17 per cent the previous year, according to a survey of more than 1,000 technology and business managers by S&P Global, a data and analytics firm. Projects failed not only because of technical hurdles, but often because of 'human factors' like employee and customer resistance or lack of skills, said Alexander Johnston, a senior analyst at S&P Global. Gartner, a research and advisory firm that charts technological 'hype cycles,' predicts that AI is sliding toward a stage it calls 'the trough of disillusionment.' The low point is expected next year, before the technology eventually becomes a proven productivity tool, said John-David Lovelock, the chief forecaster at Gartner. That was the pattern with past technologies like personal computers and the internet — early exuberance, the hard slog of mastering a technology, followed by a transformation of industries and work. The winners so far have been the suppliers of AI technology and advice. They include Microsoft, Amazon, and Google, which offer AI software, while Nvidia is the runaway leader in AI chips. Executives at those companies have bragged how AI is reshaping their own work forces, eliminating the need for some entry-level coding work and making other workers more efficient. AI will eventually replace entire swaths of human employees, many predict, a perspective that is being widely embraced and echoed in the corporate mainstream. At the Aspen Ideas Festival in June, Jim Farley, the chief executive of Ford Motor, said, 'Artificial intelligence is going to replace literally half of all white-collar workers in the US' Whether that type of revolutionary change occurs, and how soon, depends on the real-world testing ground of many businesses. 'The raw technological horsepower is terrific, but it's not going to determine how quickly AI transforms the economy,' said Andrew McAfee, a principal research scientist and co-director of the Massachusetts Institute of Technology's Initiative on the Digital Economy. Still, some businesses are finding ways to incorporate AI — although in most cases the technology is still a long way from replacing workers. One company where AI's promise and flaws are playing out is USAA, which provides insurance and banking services to members of the military and their families. After several pilot projects, some of which it closed down, the company introduced an AI assistant to help its 16,000 customer service workers provide correct answers to specific questions. USAA is tracking its AI investments, but does not yet have a calculation of the financial payoff, if any, for the call center software. But the response from its workers, the company said, has been overwhelmingly positive. While it has software apps for answering customer questions online, its call centers field an average of 200,000 calls a day. 'Those are moments that matter,' said Ramnik Bajaj, the company's chief data analytics and AI officer. 'They want a human voice at the other end of the phone.' That's similar to an AI app developed more than a year ago for fieldworkers at Johnson Controls, a large supplier of building equipment, software and services. The company fed its operating and service manuals for its machines into an AI program that has been trained to generate a problem summary, suggest repairs and deliver it all to the technician's tablet computer. In testing, the app has trimmed 10 to 15 minutes off a repair call of an hour or more — a useful efficiency gain, but hardly a workplace transformation on its own. Fewer than 2,000 of the company's 25,000 field service workers have access to the AI helper, although the company is planning an expansion. 'It's still pretty early days, but the idea is that over time everyone will use it,' said Vijay Sankaran, the chief digital and information officer at Johnson Controls. The long-term vision is that companies will use AI to improve multiple systems, including sales, procurement, manufacturing, customer service and finance, he said. 'That's the game changer,' said Sankaran, who predicts that shift will take at least five years. Two years ago, JPMorgan Chase, the nation's largest bank, blocked access to ChatGPT from its computers because of potential security risks. Only a few hundred data scientists and engineers were allowed to experiment with AI Today, about 200,000 of the bank's employees have access to a general-purpose AI assistant — essentially a business chatbot — from their work computers for tasks like retrieving data, answering business questions and writing reports. The assistant, tailored for JPMorgan's use, taps into ChatGPT and other AI tools, while ensuring data security for confidential bank and customer information. Roughly half of the workers use it regularly and report spending up to four hours less a week on basic office tasks, the company said. The bank's wealth advisers are also employing a more specialized AI assistant, which uses bank, market and customer data to provide wealthy clients with investment research and advice. The bank says it retrieves information and helps advisers make investment recommendations nearly twice as fast as they could before, increasing sales. Lori Beer, the global chief information officer at JPMorgan, oversees a worldwide technology staff of 60,000. Has she shut down AI projects? Probably hundreds in total, she said. But many of the shelved prototypes, she said, developed concepts and code that were folded into other, continuing projects. 'We're absolutely shutting things down,' Ms. Beer said. 'We're not afraid to shut things down. We don't think it's a bad thing. I think it's a smart thing.' McAfee, the M.I.T. research scientist, agreed. 'It's not surprising that early AI efforts are falling short,' said McAfee, who is a founder of Workhelix, an AI-consulting firm. 'Innovation is a process of failing fairly regularly.'