An advocacy group is seeking discovery to collect documents it says the FCC has wrongfully kept private regarding the Department of Government Efficiency (DOGE), while Discord faces backlash over new age verification measures, and Riot Games is reducing staff on its new fighting game, 2XKO. These developments come as the AI market continues to boom, despite a recent software stock wipeout, and experts highlight data delivery as a key bottleneck for AI performance.
According to The Verge, the advocacy group's lawsuit aims to uncover information about the FCC's actions related to DOGE, with the group claiming the agency has withheld documents. The group is seeking discovery after one year and nearly 2,000 pages of documents.
Meanwhile, Discord announced that all users will soon be required to verify their ages to access adult content, a move that has sparked backlash. Users will need to share video selfies or upload government IDs, with the platform relying on AI technology to verify ages. Discord emphasized that selfie data will never leave the user's device, and both selfie and ID data will be promptly deleted after age estimation. The global rollout is scheduled to begin in early March, according to Ars Technica.
In the gaming world, Riot Games is reducing the team working on its recently-released free-to-play fighting game, 2XKO, according to a post from executive producer Tom Cannon, as reported by The Verge. The game, set in the League of Legends universe, launched in early access on PC in October and hit consoles just a few weeks ago.
The AI market continues to be a major story. Despite a $2 trillion wipeout in software stock market capitalization last week, the S&P 500 futures were up this morning, according to Fortune. Traders bought up stocks after most companies reported that they had beaten consensus earnings estimates. The software sector has undergone the largest non-recessionary 12-month drawdown in over 30 years, reducing its weight in the S&P 500 from 12.0 to 8.4, according to Dubravko Lakos-Bujas.
However, the rapid growth of AI is facing challenges. As enterprises pour billions into GPU infrastructure for AI workloads, many are discovering that their expensive compute resources sit idle far more than expected. "While people are focusing their attention, justifiably so, on GPUs, because they're very significant investments, those are rarely the limiting factor," said Mark Menger, solutions architect at F5, according to VentureBeat. "They're capable of more work. They're waiting on data." AI performance increasingly depends on an independent, programmable control point between AI frameworks and object storage, a point that most enterprises haven't deliberately addressed.
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