Latest news with #ChatGPT-4
Time of India
3 days ago
- Business
- Time of India
Narayana Murthy says ChatGPT helps him write five times faster than before: 'Used to take about 25-30 hours to prepare a lecture'
Infosys founder NR Narayana Murthy has given a major review of the usage of the artificial intelligence (AI) tool ChatGPT. Speaking about the AI tool, the Indian billionaire businessman recently revealed that he uses the artificial intelligence tool to quickly draft speeches that used to take him over 25 hours to write. In a conversation with Moneycontrol, the 78-year-old businessman said that he now prefers using OpenAI's ChatGPT-4, as it helps him prepare drafts for lectures and speeches for his public appearances. According to Murthy, the AI tool helps him write anything way faster than before and significantly saves his writing time. 'In a matter of five hours, I could improve the draft' Murthy explained how he used to take about 20-30 hours to prepare a lecture because he likes to take things very seriously. He always thinks there should be a central theme with a connected sub-theme, and both must be closely linked. Ultimately, it should all lead to a powerful and meaningful message. The tech titan added that his son, Rohan Murty, introduced him to ChatGPT and asked him to use it to write his drafts. 'In a matter of five hours, I could improve the draft. In other words, I improved my own productivity by as much as five times,' he said. 🚨 "I used to take about 25-30 hours to prepare a lecture. Now i take just 5 hours using ChatGPT," - Narayana Murthy. Narayana Murthy urges ethical use of AI The Infosys founder had earlier supported the use of AI, describing it as a tool that boosts skilled labour rather than replacing it. Murthy noted that generative AI can speed up tasks such as coding and minimise errors. He believes that, overall, it will improve turnaround times and increase productivity within the tech industry. He also compared the rise of AI to the use of computers in the banking sector during the 1970s. He explained that machines were originally viewed as rivals to human beings and faced resistance from unions. However, those very machines ultimately enhanced productivity and enabled employees to finish work by 5 PM, allowing them more time to spend with their families.
Hindustan Times
3 days ago
- Business
- Hindustan Times
Narayana Murthy claims ChatGPT helps him write 5 times faster: 'Used to take 25-30 hours'
Infosys founder NR Narayana Murthy has revealed that he uses the artificial intelligence tool ChatGPT to quickly draft speeches that used to take him over 25 hours to write. Murthy said that he now uses OpenAI's ChatGPT-4 to help him prepare drafts for lectures and speeches for his public appearances, adding that the technology has significantly cut down his writing time. 'Earlier, I used to take about 25-30 hours to prepare a lecture, because I take these things very seriously. There must be a theme, a sub-theme; they must be interrelated. At the end, there must be a strong message, all of that," he told Moneycontrol. The 78-year-old tech titan said that his son, Rohan Murty, introduced him to ChatGPT and asked him to use it to write his drafts. 'In a matter of five hours, I could improve the draft. In other words, I improved my own productivity by as much as five times,' he said. The Infosys founder has advocated for the use of AI in the past, calling it an augmentative tool rather than a replacement for skilled labour. Murthy has said that generative AI can help accelerate tasks like coding and reduce errors. Overall, he believes it will help turnaround times while boosting productivity in the tech industry. 'The smartness is in defining the requirement well. That's what my son told me, unless you ask the right question, you won't get the right output. What will happen in the future is that our programmers and analysts will become smarter and smarter in defining better and better requirements, more complex requirements. They will solve bigger problems, more complex problems,' he said. Murthy compared the rise of AI to the use of computers in the banking sector during the 1970s. He said that the machines were initially seen as competition to humans and opposed by unions. However, the same machines helped increase productivity and helped employees go home by 5 PM every day, to spend more time with their families, he said.
Axios
3 days ago
- Science
- Axios
Study: ChatGPT's creativity gap
AI can generate a larger volume of creative ideas than any human, but those ideas are too much alike, according to research newly published in Nature Human Behavior. Why it matters: AI makers say their tools are "great for brainstorming," but experts find that chatbots produce a more limited range of ideas than a group of humans. How it works: Study participants were asked to brainstorm product ideas for a toy involving a brick and a fan, using either ChatGPT, their own ideas, or their ideas combined with web searches. Ninety-four percent of ideas from those who used ChatGPT "shared overlapping concepts." Participants who used their own ideas with the help of web searches produced the most "unique concepts," meaning a group of one or more ideas that did not overlap with any other ideas in the set. Researchers used ChatGPT 3.5 and ChatGPT-4 and reported that while ChatGPT-4 is creating more diverse ideas than 3.5, it still falls short ("by a lot") relative to humans. Case in point: Nine participants using ChatGPT independently named their toy "Build-a-Breeze Castle." The big picture: Wharton professors Gideon Nave and Christian Terwiesch and Wharton researcher Lennart Meincke found that subjects came up with a broader range of creative ideas when they used their own thoughts and web searches, compared to when they used ChatGPT. Groups that used ChatGPT tended to converge on similar concepts, reducing overall idea diversity. "We're not talking about diversity as a DEI type of diversity," Terwiesch told Axios. "We're talking about diversity in terms of the ideas being different from each in biology, we need a diverse ecosystem." Zoom in: A 2024 study found similar results. Participants were asked to write short fiction with and without ChatGPT. Generative AI–enabled stories were found to be more similar to each other than stories by humans. Yes, but: ChatGPT can be used as part of the brainstorming process. Terwiesch says idea variance comes from using ChatGPT to generate ideas, while also coming up with your own ideas and collecting original ideas from others. Terwiesch also recommends "chain of thought prompting," which means asking your chatbot to generate several ideas, but also specifically asking the bot to make those ideas different from each other. "If I just sit back and let ChatGPT do the work, I'm not taking the full advantage of what this tool has to offer. I can do better than that," Terwiesch told Axios. A spokesperson from OpenAI shared best practices for prompting ChatGPT, advice from writers on how to use the tool and a student's guide to writing with ChatGPT.
The Star
3 days ago
- The Star
The environmental cost of a ChatGPT query, according to OpenAI's CEO
The environmental impact of ChatGPT has been a subject of much debate since the creation of OpenAI's famous AI chatbot. — AFP What is the environmental impact of using large language models such as ChatGPT? It's difficult to say, although several studies on the subject have already been conducted. OpenAI founder Sam Altman has now provided a very precise estimate, but how does that stack up against other experts' calculations? What's the environmental cost of a single query on ChatGPT? This question has been on many people's minds since the creation of OpenAI's famous AI chatbot and, more generally, the advent of large language models (LLMs). It's a question that Sam Altman, CEO of OpenAI (the company behind ChatGPT), recently answered in a post on his personal blog. "People are often curious about how much energy a ChatGPT query uses; the average query uses about 0.34 watt-hours, about what an oven would use in a little over one second, or a high-efficiency lightbulb would use in a couple of minutes. It also uses about 0.000085 gallons of water; roughly one-fifteenth of a teaspoon," writes the CEO. He adds: "As datacenter production gets automated, the cost of intelligence should eventually converge to near the cost of electricity." However, Sam Altman's hypothesis does not address the increasingly widespread use of these rapidly expanding tools. When asked directly, ChatGPT itself points out that while a ChatGPT query may have a less significant environmental impact than most common digital uses, its footprint quickly accumulates with billions of daily uses. Multiplied by billions of daily interactions, the footprint can become significant, OpenAI's chatbot says. 4,300 return flights between Paris and New York Two years ago, the Greenly app (which allows companies to assess their CO2 emissions in real time) estimated that the overall carbon footprint of the first version of ChatGPT could be around 240 tonnes of CO2e, equivalent to 136 round trips between Paris and New York City. The learning systems alone were estimated to account for 99% of total emissions, or 238 tCO2e per year. In detail, operating electricity accounts for three quarters of that footprint (ie, 160 tCO2e), followed by server manufacturing (68.9 tCO2e) and refrigerant gas leakage (9.6 tCO2e), the report says. A more recent analysis also conducted by Greenly on the overall environmental cost of the new version of ChatGPT estimates that if an organization uses the tool to respond to one million emails per month, ChatGPT-4 would generate 7,138 tonnes of CO2e per year, divided between training and use of the model. This would be equivalent to 4,300 round-trip flights between Paris and New York. US researchers at the prestigious Massachusetts Institute of Technology estimate that training several AI language models would be equivalent to five times the emissions of an average US car over its entire life cycle (including manufacturing). The environmental cost of these rapidly expanding technologies is therefore a crucial issue. It is with this in mind that an emerging trend for smaller AI models that are more efficient, cheaper, and less energy-intensive is now gaining ground. – AFP Relaxnews
Mint
5 days ago
- Business
- Mint
How AI and Charter Schools Could Close the Tutoring Gap
(Bloomberg Opinion) -- The greatest school in history isn't Oxford, Cambridge, Harvard or any other university you know. And no matter how hard you try, your kids won't get in. Why? Partly because it was so selective it only admitted one student — but mainly because it closed in 336 BC. For me, Aristotle's seven-year tutelage of Alexander is the education against which all others should be judged (after all, more than 2,300 years later we still refer to the lone pupil as 'The Great'). It's the ultimate testament to the power of tutoring — a power that artificial intelligence is poised to unlock. The problem with tutoring is it can't scale. Or it couldn't. Because even as we're besieged by concerns that AI-aided plagiarism is destroying education, we're starting to see evidence that AI-enabled tutoring might supercharge it. Getting the technology right, though, will require lots of real-life experimentation. While there's a limit to how much our traditional public school system allows for this kind of test-and-learn approach, this need creates an opportunity for the country's growing crop of charter schools to make a unique contribution to the future of education. The wealthy's appreciation of tutoring did not die with Alexander. I paid rent my first year out of college as a private math tutor and today there are a host of companies offering tutoring services, with those at the high end often charging more than $1,000 per hour. But for every student who can afford tutoring, there are hundreds more who could benefit from it. A meta-analysis of dozens of experiments with K-12 tutoring, conducted with students of all socioeconomic statuses, found that the additional academic attention significantly boosts student performance. And let's say you could overcome the cost issue — with more than 50 million students in US primary and secondary schools, there will never be enough tutors to work with them all. Early experiments with AI-based tutoring suggest it might help fill the gap. In a study of three middle schools in Pennsylvania and California, researchers found that a hybrid human-AI tutoring model — where the technology supported human tutors, allowing them to work with many more pupils — generated significant improvements in math performance, with the biggest increases going to the lowest-performing students. And in a study of four high schools in Italy, researchers replaced traditional homework in English classes with interactive sessions with OpenAI's ChatGPT-4 and found that all the AI-aided groups did at least as well as those engaged in traditional homework — with some performing significantly better. It could help at a college level, too. In a Harvard University physics course, for example, professors trained an AI tutor to work with some students (replacing their normal class time) while others had a traditional instructor-guided class. Students with AI tutors performed better — in fact they learned twice as much — and were more engaged with the lessons than those in the normal class, even though they had less interaction with a human instructor. The most impressive findings may come from the developing world. Rising Academies, a network of private schools with more than 250,000 students across Africa, has implemented Rori, an AI-based math tutor for students, and Tari, a support system for teachers, both powered by Anthropic's Claude and accessible via WhatsApp. Students who used Rori for two 30-minute sessions twice a week for 8 months showed an improvement in their math performance 'equal or greater than a year of schooling.' None of this means AI-aided tutoring is a panacea. But it does suggest that such tutors are, if well-designed and implemented, very likely to be helpful even if they remain inferior to the best human options. Since many families can't access or afford traditional tutoring, what matters is if they are better than no tutors at all. But 'well-designed and implemented' is a crucial part of that sentence. We don't yet know what the best practices are for AI tutors. Learning this will require extensive experimentation. And, much as it pains me to say this as a proud product of public schools, that kind of free-form experimentation is likely to be a struggle for public school bureaucracy. Research by the Department of Education and the Center on Reinventing Public Education at Arizona State University suggests that charter schools, which operate with more freedom about how they staff and teach, are often more innovative than traditional public schools. And because charters are not private schools, they cannot charge tuition or be selective about who they admit. This lets them generate useful data about what does and doesn't work. Of course, this doesn't mean that charter schools are better than their public counterparts. Most innovations fail. But however painful failure is for an individual school, it can actually benefit the system because even bad outcomes produce useful information. Successful AI-based tutoring programs pioneered at charters can and will be adopted by public schools, and failed ones avoided. Given the potentially revolutionary change in education AI is driving, learning should be our primary goal — and charters are likely to be our best instrument toward in Bloomberg Opinion: This column reflects the personal views of the author and does not necessarily reflect the opinion of the editorial board or Bloomberg LP and its owners. Gautam Mukunda writes about corporate management and innovation. He teaches leadership at the Yale School of Management and is the author of 'Indispensable: When Leaders Really Matter.' More stories like this are available on
