xiaohuiqin17

@xiaohuiqin17

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it is Saturday ! i take photo !!

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it is Sunday ! i take photo !!

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Share beautiful English Song!! Hope you love them!! https://youtu.be/7stfN34LFWg?si=lAe8fp3gzgEK6EQ1

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The set decrease in the generation rate would be called "money supply disinflation" if you want to, god forbid, use another modern economics term. And exchanging money for services at a faster rate than the generation rate has no deflationary effect, only the demand for currency itself affects its value. If the velocity of money increases to account for increasing exchange, there need not be any change in value.

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"Whilst recession talk may be premature, the mere prospect of this coming to fruition is enough to put traders into a defensive mindset." Ruth Foxe-Blader of Foxe Capital told the BBC's Today programme that Monday had been a "very difficult and chaotic day for the stock market in the US" and "the markets hate chaos".

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Stocks slide as Trump warns of US economy 'transition' Trump expands exemptions from Canada and Mexico tariffs "Trump is keeping political leaders guessing regarding his next moves on tariffs, but the problem is that he's also keeping investors guessing and that's reflected in the dire market mood," said Tim Waterer, chief market analyst at financial services firm KCM Trade.

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The dollar slid further against the pound and the euro on Tuesday, having fallen sharply since the beginning of the month. However, there was little sign of the turbulence spilling into Europe. While the FTSE 100 index, which tracks the biggest companies listed in the UK, dipped 0.1%, Germany's Dax index rose 0.4% and the French Cac 40 climbed 0.2%.

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So, does the currency circle really need more fresh blood? Of course not.

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The Sion upgrade expands Grass’s capacity, enabling sustained, petabyte-scale multimodal data scraping on a daily basis. By horizontally scaling compute and optimizing scraping algorithms, Sion removes the bottlenecks. This expansion allows the network to process and deliver high-quality multimodal datasets at scale. With Grass, developers can now access data at a scale unmatched by traditional solutions. Grass Network Before vs. After Sion

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Yet, acquiring this data at the necessary scale remains a challenge. AI companies developing frontier models need exponentially more data to stay competitive, but the current options for sourcing it are costly, fragmented, and difficult to scale. Training the next generation of AI requires petabytes of high-quality data, yet existing solutions cannot efficiently sustain data retrieval at this magnitude.

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Why Sion? The demand for multimodal data—especially video—has surged as AI advances into generative, autonomous systems, and robotics. Multimodal models require vast, high-quality datasets to improve realism and motion accuracy. From AI-generated video to autonomous perception, these systems rely on large-scale multimodal data to function effectively.

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Expanding network bandwidth to beyond 1 terabit per second – Phase 2 removes throughput bottlenecks by distributing workloads across more machines, allowing sustained 10x data retrieval efficiency. A scale which makes Grass one of the most performant decentralized data scraping networks in the world.

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Phase 2 - Scaling Infrastructure: Rolling out in the weeks ahead With the groundwork laid in Phase 1, Phase 2 is about deploying these optimizations at scale by: Horizontally scaling compute – Distributing workloads across more machines, allowing for parallel processing and higher sustained scraping speeds. Scaling multimodal data retrieval – New adaptive scraping techniques allow for processing 4K video, images, and text without bottlenecks.

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Phase 1 - Optimizing Network Efficiency: Complete The first phase of Sion focused on improving the way public web data was scraped and processed without adding additional compute. Optimizing scraping algorithms increased efficiency, leading to a significant spike in web data retrieval. This pushed the network to its operational limits, reinforcing the need for a broader infrastructure expansion in Sion Phase 2 to sustain long-term scaling.

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How does Sion work? Sion fundamentally changes how the Grass Network processes large-scale data retrieval by optimizing scraping efficiency and scaling infrastructure to sustain higher throughput.

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What is Sion? Sion is a network upgrade designed to optimize web data retrieval at scale, allowing Grass to scrape over 1 petabyte of multimodal web data per day. To put this into perspective, at this scale, Grass will be scraping enough data to fill approximately 92 football fields' worth of flash drives each day. This level of compute, bandwidth, and algorithmic efficiency makes Grass the most accessible multimodal data provider in the AI industry.

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In the weeks ahead, the Grass Network will roll out Phase 2 of the Sion upgrade, a major leap forward in scalability, efficiency, and data throughput. As a quick recap, Phase 1 delivered a breakthrough in scraping efficiency, maximizing public web data retrieval without increasing compute, driving a massive surge in network activity, and paving the way for Phase 2. Phase 2 of the upgrade horizontally scales compute, boosts network throughput by 10x, and enables real-time multimodal scraping (such as public video data) at petabyte scale.

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https://www.youtube.com/watch?v=xRE4Thcs2kA

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https://x.com/bishengkegs/status/1876981900205814233

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