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Lloyds Banking Group Claims Microsoft Copilot Saves Staff 46 Minutes a Day
An anonymous reader quotes a report from The Register: Lloyds Banking Group claims employees save 46 minutes daily using Microsoft 365 Copilot, based on a survey of 1,000 users among nearly 30,000 deployed licenses. According to Lloyds Banking Group (LBG), the rollout is "helping teams summarize documents, prepare for meetings, and reduce administrative tasks." Almost 5,000 engineers are also using GitHub Copilot. Vic Weigler, chief technology officer at the finance corp, said in a statement: "We converted 11,000 lines of code across 83 files in half the expected time."
An insider at the bank, a self-professed fan of the technology, listed some of the ways it was being used in their business area. These ranged from the mundane -- drafting and summarizing emails, transcribing meetings, and comparing documents to group standards -- to the eyebrow-raising, such as drafting legal clauses, undertaking due diligence, and creating complex Excel formulas. They told us the next step is creating bots and agents to perform repetitive data-based tasks and rolling out the technology to customer-facing processes. That said, they also noted the AI tools occasionally make mistakes. The "golden rule," is to "never use the output without checking it."
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Alibaba Cloud Says It Cut Nvidia AI GPU Use By 82% With New Pooling System
Alibaba Cloud claims its new Aegaeon GPU pooling system cuts Nvidia GPU use by 82%, letting 213 H20 accelerators handle workloads that previously required 1,192. The advancements have been detailed in a paper (PDF) at the 2025 ACM Symposium on Operating Systems (SOSP) in Seoul. Tom's Hardware reports: Unlike training-time breakthroughs that chase model quality or speed, Aegaeon is an inference-time scheduler designed to maximize GPU utilization across many models with bursty or unpredictable demand. Instead of pinning one accelerator to one model, Aegaeon virtualizes GPU access at the token level, allowing it to schedule tiny slices of work across a shared pool. This means one H20 could serve several different models simultaneously, with system-wide "goodput" -- a measure of effective output -- rising by as much as nine times compared to older serverless systems.
The system was tested in production over several months, according to the paper, which lists authors from both Peking University and Alibaba's infrastructure division, including CTO Jingren Zhou. During that window, the number of GPUs needed to support dozens of different LLMs -- ranging in size up to 72 billion parameters -- fell from 1,192 to just 213. While the paper does not break down which models contributed most to the savings, reporting by the South China Morning Post says the tests were conducted using Nvidia's H20, one of the few accelerators still legally available to Chinese buyers under current U.S. export controls.
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SpaceX Launches 10,000th Starlink Satellite
SpaceX surpassed the 10,000-satellite milestone for its Starlink constellation after two Falcon 9 launches on Oct. 19 added 56 more satellites to orbit. The company now operates about two-thirds of all active satellites worldwide and continues to break reuse records. Space.com reports: A Falcon 9 rocket carrying 28 Starlink internet satellites lifted off from California's Vandenberg Space Force Base today at 3:24 p.m. EDT (1924 GMT; 12:24 p.m. local California time). Those 28 included the 10,000th Starlink spacecraft ever to reach orbit, which a SpaceX employee noted on the company's launch webcast: "From Tintin to 10,000! Go Starlink, go Falcon, go SpaceX!"
It was also the 132nd Falcon 9 liftoff of the year, equaling the mark set by the rocket last year -- and there are still nearly 2.5 months to go in 2025. [...] This launch was the second of the day for SpaceX; less than two hours earlier, another Falcon 9 sent 28 more Starlink satellites up from Florida's Space Coast. That earlier liftoff was the 31st for that Falcon 9's first stage, setting a new reuse record.
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