This week in AI and ML news: The ‘Godfather of AI’ steps down, IBM pauses hiring in anticipation of automation, and more.
Where tried and true legacy processes meet a thirst for innovation, vision AI solutions drive transformative change for enterprises. In the conclusion to our two-part podcast conversation, the Smooth Ag team returns to discuss how computer vision is innovating on ranches and farms, potentially bringing a new generation into aging industries as they enter a tech-enabled era. Revisit Part 1 and then give this conclusion a listen.
Geoffrey Hinton Resigns from Google
Geoffrey Hinton, a pioneer of AI and ML, resigned from his position at Google on Monday. In a conversation with The New York Times, Dr. Hinton says that he left his employer of more than a decade so that he can address the potential risks of AI without restrictions. Sometimes referred to as “the Godfather of AI,” Hinton was an early developer of neural networks and received the Turing Award (Computing’s equivalent to the Nobel Prize) in 2018. Today, he expresses regret over his life’s work, though his was not among the signatures on a recent open letter encouraging AI developers to slow down with a six-month pause on development.
During the Times interview, Hinton suggests AI has the potential to cause upheaval, both replacing jobs and threatening our ability to tell truth from fiction with misinformation and fabricated imagery. The speed with which technology has evolved to rival human intelligence has taken Hinton by surprise. “I thought it was way off. I thought it was 30 to 50 years or even longer away,” he remarks, “Obviously, I no longer think that.” Google has responded in the press by thanking Hinton for his decade-plus of contributions while underlining its commitment to responsibility. In an official statement, Jeff Dean, a Chief Scientist, said, “We’re continually learning to understand emerging risks while also innovating boldly.”
IBM Expects AI to Replace Nearly 8,000 Jobs
According to a Bloomberg story published Monday, IBM will pause hiring for roles it believes artificial intelligence could automate away within the next few years. In an interview, Arvind Krishna, CEO since 2020, said, “I could easily see 30% of [non-customer-facing roles] replaced by AI and automation over a five-year period.” Fears about AI replacing human workers are nothing new, but the explosion of solutions like OpenAI’s generative suite have made them the stuff of daily conversation across industries. Krishna and IBM’s announcement represents one of the most notable strategy shifts in response to recent developments.
Elsewhere, AI is augmenting the workforce more than replacing them. Restaurants and agribusinesses are just two examples of the types of enterprises transforming legacy processes with AI while their human workforce evolves into new, more autonomous roles. In a recent episode of MarketScale’s The Main Course Podcast, our Co-Founder and CPO, Elizabeth Spears discusses the ways computer vision technology is empowering employees to change their roles for the better, make more informed decisions, and redefine customer service.
MLS Partners with ai.io for Tech-Powered Scouting
Breaking into Major League Soccer (MLS) isn’t just a matter of training hard and building the requisite skills on the pitch. No, unfortunately years and years of hard work aren’t nearly enough. Young players also need to plan carefully and ensure they’re able to demonstrate their talents to the right people at the right time. Without the approval of professional scouts, even the best players can’t hope to reach their sports’ biggest stages. Thanks to a new partnership between MLS and London-based ai.io, the path to fame could fundamentally change for young soccer players. With aiSout and athletes, athletes will soon participate in crucial assessments and drills without the need for expensive travel.
Beginning this December, teams from across MLS and its youth development leagues will have access to aiScout and the computer vision-powered solution will be available to players everywhere in early 2024. Fred Lipka, MLS Next’s Technical Director, touts the solution’s potential to broaden access to top-notch scouts and make sports stardom more attainable. “We believe this partnership is going to be a real solution for some of the most important issues faced in Soccer across North America,” Lipka says, “namely, cost, geography, and accessibility.” Check out our blog for more details on the ways AI is transforming sports for players and fans alike.
Striking Writers Take Aim at AI
A whole lot has changed since the Writer’s Guild of America last went on strike. Back in 2007, we had no idea what streaming was and Netflix’s primary competitor (in the discs-by-mail space) was Blockbuster. Today, disruptors like Netflix are the new standard-setters, legacy studios still struggle to embrace new service models, and many film and television fans subscribe to more streaming services than they can keep track of.
Among the key points of contention this time around is the potential role generative AI could play in the writer’s rooms of the future. Prior to going on strike this week, writers issued demands to studios and networks that included restricting AI from writing or rewriting literary material and forbid using material covered by contracts to train solutions. The proposal was rejected with the Alliance of Motion Pictures and Television Producers suggesting annual meetings to discuss advancements in tech instead. Check out details on the disagreements that led to the strike, thoughts on how AI could shake up entertainment, and updates from the picket line on The Hollywood Reporter.
About the Author & Plainsight
Bennett Glace is a B2B technology content writer and cinephile from Philadelphia. At Plainsight, he plays a central role in planning and delivering content that supports Plainsight’s efforts to make vision AI success a repeatable, scalable reality for enterprises across a range of industries.
Plainsight provides the unique combination of AI strategy, a vision AI platform, and deep learning expertise to develop, implement, and oversee transformative computer vision solutions for enterprises. Through the widest breadth of managed services and a vision AI platform for centralized processes and standardized pipelines, Plainsight makes computer vision repeatable and accountable across all enterprise vision AI initiatives. Plainsight solves problems where others have failed and empowers businesses across industries to realize the full potential of their visual data with the lowest barriers to production, fastest value generation, and monitoring for long-term success. For more information, visit plainsight.ai.