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A few projects made some serious moves behind the scenes: @XOOBNetwork continues rewarding real users, distributing Nomisen IDs to top campaign contributors, Nomisma participants, and Genesis NFT holders. always good to see ecosystems rewarding consistency instead of pure hype. @useTria keeps proving that consumer crypto is no longer just theory: • $100M+ card spend • $200M+ routed via BestPath • nearly $1B futures volume • $40M+ AUM • $5M+ distributed back to users they’re building a system where crypto actually feels usable in daily life spend, swap, trade, travel, all connected. travel feature drops in 2 weeks 👀 @sleepagotchi is evolving far beyond “sleep-to-earn.” Now positioning itself as an AI-powered wellness intelligence layer with wearable integrations (WHOOP, Oura, Apple Watch), personalized coaching, and user-owned health data tied into $SLEEP utility. definitely one of the more ambitious pivots in the health x AI space. @quipnetwork still cooking quietly in the quantum sector: post-quantum security, decentralized hybrid compute, and real quantum randomness infrastructure. while most people wait for the future, they’re already building for it. @TheARCTERMINAL dropped an important reminder: privacy isn’t “trust us, we won’t look.” real privacy means the architecture itself makes it impossible for servers to read your data. AI sovereignty will matter more and more from here. and shoutout to @River4fun too 🌊 still one of the more underrated communities grinding consistently, building engagement organically, and keeping the timeline alive while others disappear after the hype cycle. bear market or not… builders still building. real users still active. that’s what matters.

【 藤森里穂 パチンコ店 来店情報 】 ◎開催日 5月30日(土) 📍福岡県 →店舗：（午前） EVO37 久留米 →店舗：（午後） ユーコーラッキー37 ゆめパーク久留米店 両店舗、無料撮影のファン対応あり🫶 ぜひ遊びに来てください💓 ※2店舗さまでのご対応に変更になりました。 #PR# @EVO3_yumepa

Behind the MiMo API Price Reduction: The deepest price cut, up to 99%, is for Input (Cache Hit). The core reason is our inference framework now supports hierarchical KV cache optimization for SWA. Production inference engine tests show this optimization increases cached token capacity by 5x, equivalent to an 80% reduction in caching costs. Combined with Cache Read Overlap among multiple Full Attention modules in the Hybrid model, actual costs are further reduced. Prices for Input (Cache Miss) and Output are also reduced by 60%-80%. This mainly benefits from the extreme 1:7 Full:SWA sparsity ratio brought by the model architecture (the prefill compute of the 70-layer MiMo-V2.5-Pro roughly equals a 10-layer GQA model). This kept our original inference costs well below the industry average, naturally leaving a 2x-3x profit margin in pricing. This price adjustment simply reflects our decision to pass these structural cost efficiencies directly to developers. Operating at these newly reduced API prices, our production inference engine is running at near full capacity, and we can still essentially break even. We previously advised LLM companies not to "blindly cut prices" precisely because very few model architectures and inference optimizations can keep API costs from running at a loss. If more architectures that save compute and KV cache emerge, along with better inference Infra to drive down API costs, this will form an excellent virtuous cycle in the industry. More crucially, affordable, high-performance model APIs will drive real, sustained, and at-scale inference demand. This upstream demand pulls forward the development of the entire AI infrastructure chain—including chips, servers, optical transceivers, PCBs, liquid cooling, power, energy storage, and data centers—serving as a strategic fulcrum for a systemic revaluation of AI hardware. In the long run, this injects more affordable and accessible compute into both training and inference pipelines, accelerating the parallel evolution of global AGI across multiple regions and technical routes. For more technical details, we will release a detailed Blog post later.

EVOJapanぶりのさきちゃん(@skcc_cos )とアーリ同士で写真撮れて超幸せ🫶💕 写真集も無事にゲットできて良かった🐥⸒⸒ ご飯の時も仲良くしてくれて超優しいお姉ちゃんなんだよ❣️ また会えるのが待ち遠しいな🦊🩵💜 #ろこぱ6# #Ahri#

The human body evolved to forage and hunt on the African savannahs, not to sit in a cubicle all day. This has led many to assume that standing at work is healthier than sitting. Is that true?

In 1990, the World Wide Web was invented on Steve Jobs' computer. Steve ignored it. This is the story I tell in my new book Steve Jobs in Exile. Here is what it should tell the rest of us about the moment we are in now. Steve was running NeXT, an unsuccessful computer company. He had been pushed out of Apple five years earlier and was burning his fortune trying to build a successor to the Macintosh. The machine NeXT sold was a matte-black magnesium cube -- expensive and beautiful and not selling. In October of that year, on the other side of the Atlantic, a British physicist named Tim Berners-Lee took delivery of a NeXT Cube at CERN, the physics laboratory on the Swiss-French border. He used it to invent the World Wide Web. The web ran on the Cube for its first year of existence. The revolution was happening on Steve's hardware, and yet Steve ignored it. Here is the question I keep thinking about from my book. If Steve Jobs, the most visionary tech mind of his generation, missed the Web, the most civilization-shaping tech of his lifetime, how are the rest of us supposed to see anything coming? Berners-Lee had been asking his boss at CERN for a NeXT Cube for months. His boss finally signed off, hoping to test the exotic Cube. "He suggested that I should buy one of these NeXT machines I'd been talking about so enthusiastically," Berners-Lee later told Fresh Air. "And if we needed a sort of test project to run on the NeXT machine ... 'Why not just do this hypertext thing you're talking about?'" The "test project" evolved into the World Wide Web. The problem Berners-Lee was trying to solve was not a glamorous one. CERN employed thousands of scientists from over a hundred countries, most cycling through on short assignments and taking their knowledge with them when they left. Berners-Lee was trying to keep institutional knowledge from walking out the door. He wanted a system that worked the way human memory does, where any piece of information could connect to any other without permission or central control. Through late 1990, he coded in his gray-floored office. The Cube's object-oriented system let him build in months what would have taken a year on anything else. By December, the first website went online. The World Wide Web now existed, running on a single black NeXT Cube in CERN's Building 31. Berners-Lee scrawled a warning on it in red ink: "This machine is a server. DO NOT POWER IT DOWN!!" Underneath the elegant interface he was building HTTP, HTML, and the server software that would deliver web pages. These three inventions would form much of the invisible plumbing of our modern connectivity. When a colleague of Berners-Lee's brought a demo of the Web to NeXT's headquarters in California, he could not get anyone there to pay attention. Nobody even dared show it to Steve, afraid he would dismiss it. NeXT was busy with its own internet plans, which Steve eventually killed. So back to the question. If Steve Jobs missed the web, how are the rest of us supposed to see whatever comes next? The honest answer is that we cannot. Nobody can. The rest of us are not going to outpattern-match Steve Jobs. But here is what I learned writing Steve Jobs in Exile. Transformations almost always begin in obscurity, on the margins, solving boring problems with boring tools. The web did not look revolutionary in 1990. It looked like a tool for sharing physics papers. We are in another such moment now. AI is the obvious changemaker. But the biggest transformations are rarely the obvious ones. The next one is happening somewhere right now, and it is trickier to spot than any sweeping proclamation about AI. We will recognize it, if we recognize it at all, from the unglamorous work few people are focused on. I will not speculate on what Steve would have made of AI today. But if he could miss the Web, the rest of us are going to have to look harder. Photo of the original CERN NeXT Cube courtesy of Robert Scoble.

“There is much to admire in these experiments; corporate governance must always be evolving,” says Gill Whitehead of the custom-made rules SpaceX, OpenAI and Anthropic are creating. “But they are untested in situations with such high stakes for humanity”

most protocols treat u like farmers we treat u like an evolving node neosoul x @0g_labs credentials just dropped 50k total supply but epoch 1 only gets a fraction 20k orbit spots for the early ones 4k vector spots if u actually do shit 140 zenith upgrades for the absolute brains mint opens tmrw 10am utc tell us ur boldest market prediction to get on the radar