At the World Economic Forum, the emergence of generative artificial intelligence has dominated both private and public discourse as the biggest tech corporations in the world—such as Microsoft, Google, and Salesforce—take over local businesses in a temporary move intended to intimidate conference attendees.
According to Intel Chief Executive Officer Pat Gelsinger in a CNBC interview, while 2023 showcased the technology's potential, 2024 will be about boosting the accuracy of outcomes so that leaders in high-stakes industries like manufacturing and healthcare can feel comfortable employing AI.
“You’ve now reached the end of today’s AI utility,” Gelsinger said. “This next phase of AI, I believe, will be about building formal correctness into the underlying models.”
Artificial general intelligence (AGI) is being used by doctors to diagnose patients, warehouses to use it to look for assembly line defects, and automated drivers. According to Gelsinger, people need to get used to the accuracy of this technology.
“Certain problems are well solved today in AI, but there’s lots of problems that aren’t,” Gelsinger said. “Basic prediction, detection, visual language, those are solved problems right now. There’s a whole lot of other problems that aren’t solved. How do you prove that a large language model is actually right? There’s a lot of errors today. So you still need you know, essentially, I’m improving the productivity of a knowledge worker. But at the end of the day, I need the knowledge worker to say is it right.”
Clara Shih, the CEO of Salesforce AI, stated that co-piloting testing and experimenting are the greatest ways to increase accuracy and promote acceptance. According to Shih in an interview, the AI may adapt to various standard deviation confidence levels as users become accustomed to trusting the system in high-stakes situations.
Adoption will follow three phases of AGI, according to Shih. The active use of technology as a job aid is phase one. To assure accuracy, phase two involves actively monitoring the equipment while it operates in autopilot mode. According to Shih, the last stage is letting go and having faith that the technology will function with the degree of confidence of one's choosing.
“You can tell the AI to be conservative for higher stakes until a human co-pilot essentially graduates it to autopilot,” Shih explained.
During a panel discussion with Bloomberg's Brad Stone on Tuesday, Open AI CEO Sam Altman stated that AGI should be less terrifying than previously thought because of the three-phase method, which mostly relies on human acceptance of the technology's dependability.
“This is much more of a tool than I expected,” Altman said. “It’ll get better, but it’s not yet replacing jobs. It is this incredible tool for productivity. This is a tool that magnifies what humans do, lets people do their jobs better and lets the AI do parts of jobs.”
"A year of discovery" has characterised the past year, according to Adena Friedman, CEO of Nasdaq, during an interview. According to Friedman, artificial intelligence (AI) will be used by the financial sector, including Nasdaq, to update outdated code and modernise ageing systems. This will improve automated operations and save workers hours every day.
“It came onto the scene a little over a year ago,” Friedman said. “We did some experimentation. We started to kind of understand the potential of it. This year will be the year of activations for us and for everyone.”
(Source:www.cnbc.com)
According to Intel Chief Executive Officer Pat Gelsinger in a CNBC interview, while 2023 showcased the technology's potential, 2024 will be about boosting the accuracy of outcomes so that leaders in high-stakes industries like manufacturing and healthcare can feel comfortable employing AI.
“You’ve now reached the end of today’s AI utility,” Gelsinger said. “This next phase of AI, I believe, will be about building formal correctness into the underlying models.”
Artificial general intelligence (AGI) is being used by doctors to diagnose patients, warehouses to use it to look for assembly line defects, and automated drivers. According to Gelsinger, people need to get used to the accuracy of this technology.
“Certain problems are well solved today in AI, but there’s lots of problems that aren’t,” Gelsinger said. “Basic prediction, detection, visual language, those are solved problems right now. There’s a whole lot of other problems that aren’t solved. How do you prove that a large language model is actually right? There’s a lot of errors today. So you still need you know, essentially, I’m improving the productivity of a knowledge worker. But at the end of the day, I need the knowledge worker to say is it right.”
Clara Shih, the CEO of Salesforce AI, stated that co-piloting testing and experimenting are the greatest ways to increase accuracy and promote acceptance. According to Shih in an interview, the AI may adapt to various standard deviation confidence levels as users become accustomed to trusting the system in high-stakes situations.
Adoption will follow three phases of AGI, according to Shih. The active use of technology as a job aid is phase one. To assure accuracy, phase two involves actively monitoring the equipment while it operates in autopilot mode. According to Shih, the last stage is letting go and having faith that the technology will function with the degree of confidence of one's choosing.
“You can tell the AI to be conservative for higher stakes until a human co-pilot essentially graduates it to autopilot,” Shih explained.
During a panel discussion with Bloomberg's Brad Stone on Tuesday, Open AI CEO Sam Altman stated that AGI should be less terrifying than previously thought because of the three-phase method, which mostly relies on human acceptance of the technology's dependability.
“This is much more of a tool than I expected,” Altman said. “It’ll get better, but it’s not yet replacing jobs. It is this incredible tool for productivity. This is a tool that magnifies what humans do, lets people do their jobs better and lets the AI do parts of jobs.”
"A year of discovery" has characterised the past year, according to Adena Friedman, CEO of Nasdaq, during an interview. According to Friedman, artificial intelligence (AI) will be used by the financial sector, including Nasdaq, to update outdated code and modernise ageing systems. This will improve automated operations and save workers hours every day.
“It came onto the scene a little over a year ago,” Friedman said. “We did some experimentation. We started to kind of understand the potential of it. This year will be the year of activations for us and for everyone.”
(Source:www.cnbc.com)
