Artificial Intelligence

AI developers are pivoting from sheer model scale to architectural efficiency, with 27M parameter models now matching the logical performance of frontier LLMs. Research at MIT is bridging biological and artificial intelligence, demonstrating neural prosthetics that enable paralyzed users to operate commercial vehicles. To meet surging energy demands, the industry is repurposing retired power plants for data centers, cutting deployment timelines by 50%. Notable Insights: • Repurposing existing grid infrastructure and interconnection rights from retired power plants for AI data centers reduces construction and approval timelines by 50%. • Small-scale recursive models with only 27 million parameters can match the logical performance of frontier LLMs on benchmarks like ARC AGI by prioritizing iterative thought processes over sheer size. • Neural prosthetics now enable paralyzed patients to perform complex bimanual tasks, such as driving commercial vehicles, by decoding motor intent from the posterior parietal cortex.