A group of 23 Democratic US senators urged the top federal regulator overseeing prediction markets to avoid intervening in pending court cases regarding the legality of these platforms, according to a letter sent Friday. The senators' request comes as prediction markets, which allow users to wager on real-world outcomes, have surged in popularity, attracting both mainstream users and ethical and legal scrutiny.
The senators' letter, addressed to the top federal regulator, specifically requested that the agency refrain from weighing in on court cases related to the legality of offerings on prediction market platforms. These platforms have gained traction as a way to bet on events ranging from sports and fashion to geopolitical conflicts, as reported by Wired.
Meanwhile, Singapore is embracing artificial intelligence to future-proof its economy. Prime Minister Lawrence Wong highlighted two of the country's largest companies, DBS and Grab, as role models during his budget address on February 12, according to Fortune. Wong announced the establishment of a new AI council, which he will lead, to oversee national AI missions in advanced manufacturing, connectivity, finance, and healthcare. "Harnessed well, AI will be a strategic advantage for Singapore," Wong stated during his budget address. He added that AI could help overcome the country's structural constraints, including limited natural resources, an aging population, and a tight labor market.
In other news, researchers at Nvidia have developed a technique to reduce the memory costs of large language model (LLM) reasoning by up to eight times, as reported by VentureBeat. The technique, called dynamic memory sparsification (DMS), compresses the key value (KV) cache, which is temporary memory LLMs use to process prompts. Experiments show that DMS enables LLMs to "think" longer and explore more solutions without increasing memory demands.
In the realm of public health, US Deputy Health Secretary Jim O'Neill, who oversees a department with a budget of over a trillion dollars, discussed plans to increase human healthspan through longevity-focused research supported by ARPA-H, a federal agency dedicated to biomedical breakthroughs, according to MIT Technology Review. O'Neill's comments came in an exclusive interview earlier this month.
Finally, VentureBeat also reported that research indicates the ideal size for a productive real-time conversation is only about 4 to 7 people. As groups grow larger, each person has less opportunity to speak, increasing frustration.
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