Alibaba Cloud to Start Second Data Center in South Korea by June
Alibaba Group Holding Ltd. will open a second data center in South Korea by the end of June, accelerating its multibillion-dollar bet on artificial intelligence and cloud computing.
The new facility is part of a 380 billion yuan ($52.9 billion) investment in AI and cloud infrastructure announced earlier this year, an Alibaba spokesperson said. The expansion comes in response to growing demand from South Korean businesses for cloud and AI services, the company said in a statement Thursday.
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Google AI is worse at Pokemon than I was when I was 5 – taking 800 hours to beat the Elite 4 and having a breakdown when its HP got low
When you buy through links on our articles, Future and its syndication partners may earn a commission. If you're someone who thinks AI is almost ready to take over the world, I have some good or bad (depending on your stance on things) news for you: Google's Gemini 2.5 Pro took over 800 hours to beat the 29-year-old children's game Pokemon Blue. There's a Twitch account called Gemini_Plays_Pokemon, a pale imitation of the incredible Twitch Plays Pokemon account that started this trend. First things first: how long did it take the AI to actually complete the game? Well, it was a staggering 813 hours. I feel like you could hit buttons randomly and beat the game faster than that. After some tweaks by the creator of this Twitch channel, the AI managed to halve its time to a still outrageous 406.5 hours. That is actually dead on half the time, which is interesting mathematically but still far too long to beat a game you can win with an overleveled Venusaur. Additionally, as spotted by our friends at PC Gamer, Google DeepMind reported on the Twitch account, and something unusual happens whenever its Pokemon get low on health or power points (PP). Whenever one or both of these conditions are met, "model performance appears to correlate with a qualitatively observable degradation in the model's reasoning capability – for instance, completely forgetting to use the pathfinder tool in stretches of gameplay while this condition persists." This, combined with the AI mistakenly thinking it was playing FireRed and LeafGreen and would need to find the Tea to progress, are part of the reasons it took so long to finish. Honestly, AI just isn't very good at playing Pokemon. Someone else made Claude Plays Pokemon, and that AI spent hours trying to get out of Cerulean city because it kept jumping down a ledge to talk to an NPC it had already spoken to dozens of times. So, these AIs aren't able to beat a game that we could when we barely knew our times tables. Let's not worry about them taking our jobs any time soon. In the meantime, check out the best Pokemon games of all time.
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FinThrive Introduces Agentic AI at HFMA 2025 to Help Customers Transform Healthcare Revenue Cycle Management Performance
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In addition to Agentic AI, FinThrive incorporates AI Machine Learning, Generative AI and RPA across its platform to optimize the revenue cycle from cash flow forecasting to prior authorization determination to expediting contract loading. FinThrive's cloud infrastructure and data lake allow for a broad array of use cases to be delivered and enhance existing RCM solutions. FinThrive leverages a broad integration across revenue cycle workflows, scalable payer connections, and a real-time data fabric layer that continuously analyzes trends for optimized execution. This differentiated approach ensures agentic AI delivers not just automation, but intelligent, enterprise-wide transformation across revenue operations. Agentic AI delivers significant advantages across the revenue cycle by enabling intelligent, autonomous operations. It allows digital agents to prioritize accounts, flag incomplete documentation, and apply real-time coding corrections. Complex tasks like payer rule adjustments, eligibility checks, and prior authorization determinations are streamlined through end-to-end automation. The system continuously learns by monitoring payer behavior, integrating feedback loops, and refining execution strategies dynamically – this reduces manual workloads, boosts staff productivity, and enables teams to focus on higher-value activities. At the same time, Agentic AI strengthens compliance by ensuring all documentation and AI-generated content align with regulatory standards. Agentic AI is a key element of a new intelligent data platform FinThrive is launching at the HFMA Annual Conference. This future-ready foundation is the modern operating system for revenue cycle transformation, bringing AI, analytics, and automation together to deliver faster insights, greater accuracy, and measurable performance improvement. By embedding intelligent decision-making and automation across the entire revenue lifecycle, FinThrive will empower healthcare organizations to operate more efficiently, recover revenue faster, and adapt at scale in an evolving payer environment. Agentic AI is only one component of a comprehensive, tech-forward infrastructure FinThrive will launch tomorrow at the conference. This exciting innovation establishes FinThrive as the modern foundation for exponential value creation in healthcare revenue operations, enabling AI, automation, and analytics to work better, faster, and at scale. As FinThrive continues to innovate, multiple AI-driven agents are slated for release in the future. FinThrive's commitment to redefining revenue cycle management through Agentic AI empowers providers to work smarter, recover revenue faster, and drive operational excellence. 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Onsite Debut: Denials & Underpayments Analyzer Attendees will also get a first look at FinThrive's new Denials & Underpayments Analyzer. The AI-powered tool helps providers convert payer data noise into actionable financial insights, pinpointing denial patterns, underpayment trends, and high-value recovery opportunities. Live demonstrations will be available throughout the event at the FinThrive booth. Visit FinThrive at Booth #631 during HFMA 2025 to explore the latest innovations, connect with our experts and experience what's next in healthcare revenue transformation. About FinThriveFinThrive helps healthcare organizations increase revenue, reduce costs, expand cash collections and ensure regulatory compliance across the entire revenue cycle continuum. 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The Cyberway Product Innovation Collaboration Platform is a powerful enabler for FMCG enterprises to enhance product innovation with AI, reduce waste, shorten R&D cycles, and create market bestsellers. From ideation to launch and ongoing optimization, the platform empowers excellence at every stage—allowing businesses to stand out in an intensely competitive landscape. We look forward to partnering with more brands to explore new ways of innovation and co-create the next market blockbuster! Website: Email：Marketing@ View original content: SOURCE Cyberway Information Technology Co., Ltd. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
