Dartmouth's Tuck School Adds AI Requirement

Russia Targets Western Power Systems with Cyber Attacks

Russia is retaliating against Western allies with coordinated cyber intrusions targeting power systems, exploiting the West's shift to digitized clean energy and AI's demands. This creates a vast, vulnerable digital attack surface, with state-sponsored hackers seeking to embed in utility software and cause micro-disruptions. The West's rush to build a digitized green grid, coupled with AI's power demands, is creating a massive target for foreign adversaries, with every energy object becoming a geopolitical target. The future of Western strength hinges on systemic resilience in utility software, and the West must now focus on protecting its energy infrastructure from these cyber threats.

Boy George Reclaims Song Rights with AI

Boy George is launching a new venture called Artists Included to help legacy artists reclaim ownership of their biggest songs. The company uses AI to recreate the artist's original voice, allowing them to re-record their songs and regain control over them. This matters because artists like George often lose control over their songs, with labels and owners of master recordings earning money from licensing deals. For example, a recent licensing deal for George's song "Karma Chameleon" earned $4 million, but George did not receive any of it. The company's first release is a newly recorded version of "Karma Chameleon" that uses AI to recreate George's 22-year-old voice. Boy George will continue to use AI to reclaim his music catalog.

AI-Generated "Slop" is Making Our World More Hyper-Palatable and Less Nuanced

AI-generated content, often referred to as "AI slop," is reshaping our cultural landscape in ways that feel increasingly simplistic and exaggerated. This phenomenon, called hyperslopification, occurs when AI outputs-like images, videos, or text-capitalize on human preferences for symmetry, cuteness, and other hyper-stimulating traits. These traits are akin to how junk food uses salt, fat, and sugar to entice us, but in the digital realm, they create content that's both addictive and oversimplified. The term "hyperpalatability" describes how AI exploits our evolved preferences for easy-to-consume aesthetics and visceral reactions. Social media and recommendation algorithms have already nudged culture toward clickbait and sensationalism, but generative AI amplifies this trend by prioritizing metrics that are simple to measure, like symmetry and legibility. Techniques like RLHF (Reward Learning with Human Feedback) inadvertently push AI toward these hyper-stimulating outputs, as they align closely with human preferences. Looking ahead, hyperslopification could further simplify and distort cultural norms, potentially eroding nuance in art, communication, and social interactions. As AI becomes more prevalent, the balance between satisfying immediate human desires and preserving complexity will be crucial to maintaining a rich and varied cultural ecosystem.

Students Concerned About AI Dependence

Students are using AI tools for coursework but are concerned about dependence on them. Four in 10 students are worried about relying too much on AI. At the same time, six in 10 see AI as a learning support tool. Many students expect AI to negatively impact their career prospects. Institutions have not been successful in helping students navigate AI and its impact on their futures. Students will likely continue to seek more guidance on using AI effectively.

AI Productivity Boost Remains Elusive

Companies are spending big on AI to boost productivity, but results are mixed. Some workers, like software engineer Iren Azra Zou, say AI tools like Claude Code help them complete tasks faster. Labor productivity has risen in the US since 2020, but researchers say this may not be due to AI. In fact, 90% of firms using AI reported no impact on productivity over the prior three years. Companies are under pressure to show that their AI spending is worthwhile. AI may create more work in the short term, as workers like Amazon data scientist Sarthak Gupta build out new systems and pipelines. The future of AI productivity gains will depend on how well companies can scale individual efficiency.