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AI Fuels Anti-ICE Content, While Experts Debate Path to AGI and Grid Resilience Amid Winter Storms
Artificial intelligence is generating both controversy and innovation, as AI-generated anti-ICE videos spread online and a startup challenges conventional approaches to artificial general intelligence (AGI). Meanwhile, experts are analyzing the performance of the power grid during recent winter storms and researchers are studying human foraging behavior.
AI-generated videos depicting confrontations with ICE agents have gained traction on social media. These videos, often tense and bombastic, show scenarios such as a New York City school principal stopping masked ICE agents with a bat, and a server flinging hot noodles at officers in a Chinese restaurant, according to Wired. The videos are part of a larger wave of anti-ICE AI content emerging online.
In the realm of AI development, San Francisco-based startup Logical Intelligence is pursuing an alternative path to AGI. The company appointed AI researcher Yann LeCun to its board on January 21. LeCun, formerly with Meta, has criticized the over-reliance on large language models (LLMs) in the pursuit of AGI, calling it a "groupthink problem," Wired reported. Logical Intelligence is developing an energy-based reasoning model (EBRM), based on a theory conceived by LeCun two decades ago, which they claim is better equipped to learn, reason, and self-correct.
The eastern half of the U.S. recently experienced a significant winter storm, putting strain on the power grid. According to MIT Technology Review, the grid largely kept up with freezing temperatures and increased demand. However, PJM, the nation’s largest grid operator, saw significant unplanned outages in plants that run on natural gas and coal. These facilities historically struggle in extreme winter weather. Experts are now analyzing the grid's performance to identify lessons and improve resilience for future extreme weather events.
In a separate study published in the journal Science, researchers are examining how social cues influence human foraging decisions, using ice fishing competitions in Nordic countries as a model. According to Ars Technica, human foraging is complex and has helped our species develop memory, navigational abilities, and social learning skills.
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