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BBC News
4 hours ago
- Sport
- BBC News
Yorks bowlers impress as Sussex struggle on day one
Rothesay County Championship Division One, North Marine Road, Scarborough (day one)Sussex 210-9: Coles 47, Alsop 40, Lamb 40*; White 3-21Yorkshire: Yet to batYorkshire (3 pts), Sussex (0 pts)Match scorecard Yorkshire enjoyed a productive opening day of their key County Championship match with Sussex at Scarborough, on a day lit up by a stunning James Wharton catch in the inserted on a green-tinged pitch, were limited to 210-9 from 96 overs. James Coles top scored for them with 47 off 54 seamer Jack White impressed with 3-21 from 17 overs, with the first of his wickets coming courtesy of what was labelled in some quarters as one of the all-time great catches by Wharton running back towards deep visitors were 150-9, but were boosted late on by an impressively watchful last wicket partnership of 60 unbroken between Danny Lamb and Gurinder Sandhu, Lamb finishing on 40 and Australian Sandhu 24. Yorkshire came into this fixture second-bottom after 10 of 14 matches. They were seven points away from eighth-placed Durham, with Sussex only 21 ahead of the White Rose in two counties were promoted from Division Two last summer. Yorkshire beat Sussex here last fact, Sussex have never won a first-class match at North Marine Road. This is their 11th attempt. If Yorkshire's start is anything to go by, that run may where Wharton's catch stands on the list of all-time great grabs is difficult to say with can be said, however, is that it was a truly outstanding catch. You will struggle to see better at any county venue this Haines looked to whip White over the leg-side but skied a chance off a top-edge. Wharton, positioned at a short-midwicket, raced back towards deep square-leg and took the catch mid-air having dived full length. That left Sussex at 19-1 in the ninth over and from there, Yorkshire took wickets at regular intervals with Sussex reaching lunch at 92-3 in the 29th left-hander Daniel Hughes was bowled by a beauty from White which angled in from around the wicket, straightened and hit the top of off-stump to leave them and Tom Alsop steadied the ship, the former actually counter-attacking, including a six over long-on against the off-spin of Yorkshire's stand-in captain Dom Bess, with regular skipper with Jonny Bairstow on paternity leave, but Coles fell just before lunch when caught behind against George bowlers were very miserly as Sussex only scored 57 runs in an afternoon session which saw three more wickets fall to leave them got wicket number four when he had Danial Ibrahim caught at first slip pushing forwards, before visiting captain John Simpson feathered behind a drive at Matt Milnes, leaving Sussex at 113-5 in the 44th twice a fifty-maker in last year's clash, was then the second Sussex batter to fall in the forties, the left hander bowled through the gate for exactly 40 by one angled in from Revis with 129 on the board. More damage was done shortly after tea as Sussex lost three wickets for the addition of one run in eight balls, slipping to of them went to Will Sutherland's seam in the 66th over - Fynn Hudson-Prentice for 23 and Jack Carson for a duck. Henry Crocombe also fell without scoring in the next over to Hill, all caught in the Lamb and Sandhu's resistance for almost 30 overs took the score past 200 and leaves Yorkshire with work to do before they can begin their reply on day two. ECB Reporters' Network supported by Rothesay.
Economic Times
2 days ago
- Business
- Economic Times
You can still outpace AI: Wharton professor reveals a ‘skill bundling' strategy to safeguard your future from automation
iStock Artificial Intelligence is rapidly changing workplaces. Wharton professor Ethan Mollick suggests professionals focus on roles requiring diverse human skills. These include emotional intelligence and creativity. (Image: iStock) As artificial intelligence reshapes the modern workplace with stunning speed, one Wharton professor has a sobering message for today's professionals: the safest jobs of tomorrow aren't necessarily the most technical—they're the most complex. Ethan Mollick, associate professor at the Wharton School and author of Co-Intelligence: Living and Working with AI, says job security in the AI era will increasingly depend on choosing roles that bundle multiple human skills together. That means emotional intelligence, judgment, creativity, and domain expertise—all woven into one. 'AI may outperform you in one or two things,' Mollick tells CNBC Make It, 'but if your job requires five or six of them, it's a lot harder to replace.' It's the kind of insight that redefines how we think about employability in an increasingly automated world. And with AI usage surging—40% of U.S. workers now use it at least a few times a year, per a Gallup poll—these career choices have never mattered more. Mollick doesn't sugarcoat the AI wave ahead. Tech labs aren't just chasing progress—they're chasing a paradigm shift. 'Labs are aiming for machines smarter than humans within the next three years,' Mollick warns. 'They're betting on mass unemployment. Whether they succeed or not is still unclear, but we have to take it as a real possibility.' Even Nvidia CEO Jensen Huang, whose company powers some of the most advanced AI systems, echoes that sentiment—albeit from a different vantage point. In a recent All-In podcast, Huang predicted AI will create more millionaires in five years than the internet did in 20, while also cautioning: 'Anybody who is not using AI will lose their job to someone who is.' What's the solution? According to Mollick, job seekers must rethink their strategy. 'Don't go for roles that do one thing,' he says. 'Pick a job like being a doctor—where you're expected to be good at empathy, diagnosis, hand skills, and research. If AI helps with some of it, you still have the rest.' This idea of "bundled roles"—where a single job draws on varied skills and responsibilities—could be the firewall against replacement. These complex, human-centered positions are harder for AI to replicate wholesale and leave more room for humans to collaborate with AI, not compete against it. AI's evolution could make entry-level roles scarce—or at least, radically different. 'Companies will need to rethink entry-level hiring,' Mollick notes. 'Not just for productivity, but for training future leaders.' Without the chance to learn through repetition—what Mollick calls 'apprenticeship'—younger workers may miss out on foundational skills. The result could be a workforce with knowledge gaps AI can't fill, even as those same gaps are used to justify greater automation. Nvidia's Huang calls AI the 'greatest equalizer of our time' because it gives creative power to anyone who can express an idea. 'Everybody is a programmer now,' he says. But critics caution that this accessibility may also deepen divides between the AI-literate and those left behind. Eric Schmidt, former Google CEO, has a different concern: infrastructure. On the Moonshots podcast, Schmidt warned that AI's growth could be throttled not by chips, but by electricity. The U.S., he says, may need 92 more gigawatts of power to meet AI demands—equivalent to 92 new nuclear plants. As AI spreads into every corner of work, from payroll review (yes, Huang uses machine learning for that too) to high-stakes decision-making, the one thing that's clear is this: the rules are changing faster than most organizations can adapt. 'The tools are evolving fast,' Mollick says, 'but organizations aren't. And we can't ask employees to figure it all out on their own.' He believes the real danger isn't AI itself—but the lack of vision from leadership. Without a clear roadmap, workers are left adrift, trying to 'magic' their way into the future. In the race to stay relevant in the AI era, the best defense isn't to out-code or out-process a machine. It's to out-human it—by doubling down on the kind of nuanced, multi-layered work AI can't yet replicate. And by choosing jobs that ask you to wear many hats, not just one. Or as Mollick puts it: 'Bundled tasks are your best bet for surviving the AI takeover.'
Time of India
4 days ago
- Business
- Time of India
You can still outpace AI: Wharton professor reveals a ‘skill bundling' strategy to safeguard your future from automation
As artificial intelligence reshapes the modern workplace with stunning speed, one Wharton professor has a sobering message for today's professionals: the safest jobs of tomorrow aren't necessarily the most technical—they're the most complex. Ethan Mollick, associate professor at the Wharton School and author of Co-Intelligence: Living and Working with AI, says job security in the AI era will increasingly depend on choosing roles that bundle multiple human skills together. That means emotional intelligence, judgment, creativity, and domain expertise—all woven into one. 'AI may outperform you in one or two things,' Mollick tells CNBC Make It, 'but if your job requires five or six of them, it's a lot harder to replace.' Explore courses from Top Institutes in Please select course: Select a Course Category Project Management Data Science Operations Management Healthcare Data Analytics others Public Policy Product Management Others Digital Marketing Management Degree CXO Cybersecurity MBA Data Science healthcare Technology Leadership Finance MCA Artificial Intelligence Design Thinking PGDM Skills you'll gain: Portfolio Management Project Planning & Risk Analysis Strategic Project/Portfolio Selection Adaptive & Agile Project Management Duration: 6 Months IIT Delhi Certificate Programme in Project Management Starts on May 30, 2024 Get Details Skills you'll gain: Project Planning & Governance Agile Software Development Practices Project Management Tools & Software Techniques Scrum Framework Duration: 12 Weeks Indian School of Business Certificate Programme in IT Project Management Starts on Jun 20, 2024 Get Details It's the kind of insight that redefines how we think about employability in an increasingly automated world. And with AI usage surging—40% of U.S. workers now use it at least a few times a year, per a Gallup poll—these career choices have never mattered more. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Find out: this is how you clean your yoga mat! Kingdom Of Men Undo 'They're Aiming for Mass Unemployment' Mollick doesn't sugarcoat the AI wave ahead. Tech labs aren't just chasing progress—they're chasing a paradigm shift. 'Labs are aiming for machines smarter than humans within the next three years,' Mollick warns. 'They're betting on mass unemployment. Whether they succeed or not is still unclear, but we have to take it as a real possibility.' You Might Also Like: Nvidia CEO Jensen Huang calls AI the 'greatest equalizer of our time', predicts it will create more millionaires than the internet Even Nvidia CEO Jensen Huang , whose company powers some of the most advanced AI systems, echoes that sentiment—albeit from a different vantage point. In a recent All-In podcast, Huang predicted AI will create more millionaires in five years than the internet did in 20, while also cautioning: 'Anybody who is not using AI will lose their job to someone who is.' Pick the Job with Layers, Not Just Titles What's the solution? According to Mollick, job seekers must rethink their strategy. 'Don't go for roles that do one thing,' he says. 'Pick a job like being a doctor—where you're expected to be good at empathy, diagnosis, hand skills, and research. If AI helps with some of it, you still have the rest.' This idea of "bundled roles"—where a single job draws on varied skills and responsibilities—could be the firewall against replacement. These complex, human-centered positions are harder for AI to replicate wholesale and leave more room for humans to collaborate with AI, not compete against it. Gen Z's Entry-Level Catch-22 AI's evolution could make entry-level roles scarce—or at least, radically different. 'Companies will need to rethink entry-level hiring,' Mollick notes. 'Not just for productivity, but for training future leaders.' You Might Also Like: Former Google CEO Eric Schmidt warns of AI superintelligence outpacing Earth's energy limits: 'Chips will outrun power needs' Without the chance to learn through repetition—what Mollick calls 'apprenticeship'—younger workers may miss out on foundational skills. The result could be a workforce with knowledge gaps AI can't fill, even as those same gaps are used to justify greater automation. AI's Double-Edged Sword: Democratizer or Divider? Nvidia's Huang calls AI the 'greatest equalizer of our time' because it gives creative power to anyone who can express an idea. 'Everybody is a programmer now,' he says. But critics caution that this accessibility may also deepen divides between the AI-literate and those left behind. Eric Schmidt , former Google CEO, has a different concern: infrastructure. On the Moonshots podcast, Schmidt warned that AI's growth could be throttled not by chips, but by electricity. The U.S., he says, may need 92 more gigawatts of power to meet AI demands—equivalent to 92 new nuclear plants. As AI spreads into every corner of work, from payroll review (yes, Huang uses machine learning for that too) to high-stakes decision-making, the one thing that's clear is this: the rules are changing faster than most organizations can adapt. AI's Real Disruption? Leadership That Lags 'The tools are evolving fast,' Mollick says, 'but organizations aren't. And we can't ask employees to figure it all out on their own.' He believes the real danger isn't AI itself—but the lack of vision from leadership. Without a clear roadmap, workers are left adrift, trying to 'magic' their way into the future. In the race to stay relevant in the AI era, the best defense isn't to out-code or out-process a machine. It's to out-human it—by doubling down on the kind of nuanced, multi-layered work AI can't yet replicate. And by choosing jobs that ask you to wear many hats, not just one. Or as Mollick puts it: 'Bundled tasks are your best bet for surviving the AI takeover.'
CNBC
4 days ago
- Business
- CNBC
AI won't replace you just yet, Wharton professor says—but it'll be 'a huge concern' for entry-level workers
For many Americans, AI is rapidly changing the way we work. A growing number of workers now use AI at their jobs with some frequency. According to a recent Gallup poll, 40% of U.S. workers say that they use AI at work at least a few times a year, and 19% of workers use it several times a week. Both statistics have nearly doubled since last year, from 21% and 11%, respectively. At the same time, over half of American workers are worried about AI's impact on the workforce, according to a Pew Research Center survey. Their fears have merit: a World Economic Forum report published in January found that 48% of U.S. employers plan to reduce their workforce due to AI. Naturally, the rapid growth of AI in the workplace has raised plenty of questions. How will AI reshape our jobs? What new skills will we need to develop? Which industries will be impacted the most by AI? These questions don't have easy answers, says Ethan Mollick, an associate professor at Wharton and author of "Co-Intelligence: Living and Working with AI." Mollick, who is also the co-director of Wharton's Generative AI Labs, is well aware of concerns about AI replacing human jobs. "The idea that you could just sub in AI for people seems naive to me," he says. Still, as AI keeps improving, "there may be effects" for workers, he says. Here's what Mollick has to say about AI and the future of work. CNBC Make It: There's a lot of concern about AI replacing human jobs, including some big predictions from leaders like Bill Gates. What's your take on that? AI agents are not there yet. Right now, AI is good at some stuff, bad at some stuff, but it doesn't substitute well for human jobs, overall. It does some things quite well, but the goal of the labs is [to create] fully autonomous agents and machines smarter than human in the next 3 years. Do we know they can achieve it? We don't, but that is their bet. That's what they're aiming for. They are expecting and aiming for mass unemployment. That is what they keep telling us to prepare for. As for believing them or not, we just don't know, right? You have to take it as at least a possibility, but we're not there yet, either. A lot of it is also the choice of organizational leaders who get to decide how these systems are actually used, and organizational change is slower than all the labs and tech people think. A lot of the time, technology creates new jobs. That's possible, too. We just don't know the answer. As AI usage becomes more prevalent, what skills will we need to develop in the workforce? If you asked about AI skills a year ago, I would have said prompting skills. That doesn't matter as much anymore. We've been doing a lot of research, and it turns out that the prompts just don't matter the way they used to. So, you know, what does that leave us with? Well, judgment, taste, deep experience and knowledge. But you have to build those in some ways despite AI, rather than with their help. Having curiosity and agency also helps, but these are not really skills. I don't think using AI is going to be the hard thing for most people. What is the "hard thing," then? I think it's developing enough expertise to be able to oversee these systems. Expertise is gained by apprenticeship, which means doing some AI-level work [tasks that current AI models can do easily] over and over again, so you learn how to do something right. Why would anyone ever do that again? And that becomes a real challenge. We have to figure out how to solve that with a mix of education and training. How do you think AI will affect the entry-level job market? I think people are jumping to the conclusion that [AI is] why we're seeing youth unemployment. I don't think that's the issue yet, but I think that's a huge concern. Companies are going to have to view entry level jobs in some ways, not just as getting work done, but as a chance to get people who will become senior employees, and train them up to be that way, which is very different than how they viewed the work before. Are your students concerned about AI's impact on jobs? I think everybody's worrying about it, right? Consulting and banking, analyst roles and marketing roles — those are all jobs touched by AI. The more educated you are, the more highly paid you are, the more your job overlaps with AI. So I think everyone's very concerned and I don't have easy answers for them. The advice I tend to give people is to pick jobs that have as many 'bundled' tasks as possible. Think about doctors. You have a job where someone's supposed to be good at empathy and [surgical] hand skills and diagnosis and be able to run an office and keep up with the latest side of research. If AI helps you with some of those things, that's not a disaster. If AI can do one or two of those things better than you, that doesn't destroy your job, it changes what you do, and hopefully it lets you focus on the things you like best. So bundled jobs are more likely to be flexible than single thread jobs. How might AI adoption play out in the workplace? For me, the issue is that these tools are not really built as productivity tools. They're built as chatbots, so they work really well at the individual level, but that doesn't translate into something that can be stamped out across the entire team very easily. People are still figuring out how to operate with these things as teams. Do you bring it into every meeting and ask the AI questions in the middle of each meeting? Does everybody have their own AI campaign they're talking to? The piece I keep making a big deal about is that it is unfair to ask employees to figure it out. I'm seeing leadership and organizations say it's urgent to use AI, people will be fired without it, and then they have no articulation about what the future looks like. I want to hammer that point home, which is, without articulating a vision, where do we go? And that's the missing piece. It's not just up to everybody to figure it out. Instructors and college professors need to take an active role in shaping how AI is used. Leaders of organizations need to take an active role in shaping how AI is used. It can't just be, 'everyone figure it out and magic will happen.'
New Indian Express
5 days ago
- Health
- New Indian Express
Hyderabad startup reverses chronic liver failure in animal trials
HYDERABAD: A Hyderabad-based startup, Tulsi Therapeutics, has demonstrated the complete reversal of chronic liver failure in animal trials using an innovative stem cell-exosome therapy. Conducted on rats, the preclinical study showed 100% liver fibrosis reversal and zero mortality among treated subjects, in stark contrast to the untreated group that saw only 14% reversal and 43% deaths. Tulsi-28X is a first-in-class regenerative biologic derived from Wharton's Jelly mesenchymal stem cells and their native exosomes, a combination never before tested in any animal model globally. Tulsi Therapeutics, incubated at ASPIRE-BioNEST, University of Hyderabad, developed the platform entirely in India over three years. Chronic liver failure accounts for nearly 20% of all liver-related deaths globally, with liver transplantation being the only treatment. Founder and CEO of Tulsi Therapeutics Dr Sairam Atluri said, 'There have been individual successes with stem cells and exosomes, but we combined them because they operate through different mechanisms. This combination maximised the biological outcome and marks a major milestone for India's biotech sector.' Looking ahead, the chief scientific officer said the next goal is to initiate human clinical trials in partnership with Nizam's Institute of Medical Sciences (NIMS), with groundwork expected to take up to two years. The results were presented at the AASLD 2024 Liver Conference in San Diego and have also been accepted for publication in the Journal of Regenerative Medicine.
