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The whole class was stunned! The voice that came through the English listening test turned out to be their Chinese teacher's: "The composition is finished, but the article of life has just begun."

Liquidity pools are the engine behind @Allbridge_io They hold native stablecoins that power seamless cross-chain swaps — no wrapped assets needed. Every transfer = deposit in one pool, withdrawal from another. No minting. No friction. Users supply the liquidity, earn rewards, and keep the system running. That’s the foundation: real assets, real liquidity, real cross-chain movement.

发现一个宝藏应用，@dappOS_com 旗下的新产品 @xBubble_ai 简直惊喜。 记着明天得前几天晚上，为了制作一份详细的新项目投研简报，我全神贯注地在屏幕前与 AI 工具深度互动到了凌晨。 我尝试了多个不同的大模型，不断精进和打磨提示词，希望得到最完美的输出。 这个过程让我深刻意识到，熟练驾驭 AI 需要极高的耐心与时间投入。 我们都满怀期待地想让 AI 成为得力助手，但在实际操作中，为了让结果更精准，我们往往要投入大量精力去引导。 这让我开始思考：一定存在一种更流畅、更懂人心意的方式，让工具真正服务于我们的直觉。 于是，我发现了xBubble，它更加高效几乎能够一键解决我的烦恼，一图看清！ 2.如今大模型的迭代日新月异，获取强大现在各大平台的新模型层出不穷，算力早已不是瓶颈， 但真正拉开体验差距的是什么？是“会写神级提示词”与“不会写”的差距，是“懂代码和编写技能（Skill）”与“完全不懂”的差距。 为了让大家直观感受到这种体验上的天壤之别，我们可以从几个真实的投研和工作场景，来看看传统 AI 工具和采用“低提示词”理念的 xBubble 到底有何不同：  3.对于很多追求高效的专业人士和中小团队来说，这背后隐藏着巨大的隐性时间投入。 为了让 AI 的输出稳定可靠，我们需要持续评估不同模型在各类任务中的表现，精心挑选适配的工具组合。 很多创业团队也面临着权衡：增设专职岗位预算较高，而让现有团队从头学习 AI 调优，沟通和学习成本同样可观。 更重要的是，每当大模型迎来更新，我们积累的经验往往需要重新建立。 我们真正渴望的，是一个能精准理解模糊指令、即开即用的智能系统，让大家把宝贵的时间集中在核心业务上。 4.好消息是，技术创新的脚步总能为我们带来极佳的解决方案。 近期 dappOS 推出的 xBubble 就是那个让人充满期待的行业破局者！它创新性地提出了 Low-prompt AI0理念，简单来说，就是“AI 替用户使用 AI”。 其核心枢纽 Bubble Pilot 就像一位超级懂你的智能管家，你只需要像和朋友聊天一样输入一句简短的需求，Pilot 就会自动接管后续的所有统筹工作。 它能迅速识别任务类型，自动匹配最优的处理路径，将繁杂的模型挑选、提示词构建、工具调用全部包揽，让你轻松畅享一键直达结果的愉悦体验。 你可能会好奇，Pilot 为什么能如此精准地理解我们的意图？ 这要归功于其背后时刻都在成长进化的强大引擎——Bubble Engine。这是真正的“AI 学习 AI”。 当你提出一个新颖的需求时，Engine 会在后台自动生成海量的解决方案组合，  通过严格的测试框架与质量标准进行比对，最终将最高效、最完美的路径固化为通用的 SOP。 这意味着，在 xBubble 的生态里，随着大家的使用，高难度的技能会被自动沉淀，哪怕是零基础的小白 也能毫不费力地直接调用这些千锤百炼的最优解，获得大师级的交付品质。 为了满足极其多元的使用场景，xBubble 精心打造了两种极具安全感与实用性的运行环境。  第一种是云端的“Bubble Computer”，这是一个端到端的专属工作区。 面对需要搜集资料、撰写、排版等多步协同的复杂项目，它会自动开启安全的沙盒环境，按需加载所有技能，一气呵成地完成并交付最终成果。 第二种是主打本地陪伴的“Bubble Personal”模式，它能在你的设备上安全运行，协助管理本地文件与日程， 回想当初那个专注打磨提示词的夜晚，如果当时有 xBubble 的协助，我只需轻松输入一句“请帮我汇总今日链上热点并生成一份深度简报”， 便可去享受一杯香醇的咖啡，回来就能收获排版精美的专业成果。 科技演进的终极方向，永远是让人的创造力得到最大程度的释放。 正如 xBubble 所倡导的核心愿景：AI 应该学习 AI，AI 应该使用 AI，而用户，只需陈述目标。 兄弟们冲一波官网： dappOS 官网（

Elon Musk emphasizes that the complexity of developing a reusable orbital rocket is incredibly high. That's why "many smart people have tried it before, and no one has succeeded… most have kinda just been given up halfway through." “We live on a planet where the gravity is actually very strong... That means that you have to have ‘A pluses’ across the board, incredibly efficient engines, incredibly efficient structure, you do need scale, that’s why Starship is so gigantic... But if full and rapid reusability can be achieved, it reduces the cost of access to orbit by a factor of 100 or more... The difference between humanity being a multiplanet species or a single-planet species… It’s really that big of a deal.” Video: @SpaceX

. @XOOBNetwork is creating a space where builders, creators, and communities can thrive together in Web3 With @useTria delivering seamless cross-chain infrastructure and smoother onboarding, decentralized access keeps getting simpler @3look_io is driving SocialFi engagement and rewarding creator-powered interactions And @FIH_USD1 is bringing stable, efficient digital liquidity that helps power a stronger onchain economy The ecosystem keeps growing.

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.

🛸 @XOOBNetwork is starting to feel like one of those platforms where consistency really pays off. The more time you spend inside the ecosystem, the more you notice it’s not just about posting… it’s about community, activity and showing up every single day. What makes it fun is the competitive energy around the rankings. Everyone’s grinding, engaging, building and trying to climb higher at the same time. And honestly, that’s what keeps the platform interesting, I’m standing with 7739 total point, going for the top 50. It feels less like random farming and more like a live social leaderboard where active users actually get noticed. Still early too… which might be the most interesting part 👀

introducing pi-dynamic-workflows This is probably going to be a bigger token burner than pi-goal, BUT, dynamic workflows is the first implementation of subagents that i don't hate, mainly because it's "code mode" for subagents. agent writes a js-based workflow DSL into a dedicated tool, engine parses the workflow code and runs it. the dsl implements some primitives for the agent (agent(), parallel(), pipeline(), phase() and log()) to keep it as simple as possible. now available in @badlogicgames pi! pi install npm:pi-dynamic-workflows

When Elon Musk hilariously trolled the BBC interviewer. Elon Musk: "Do you like BBC?" Interviewer: "I see what you are doing, I am not going to respond to that" Elon Musk: "Surely you like BBC, come on" Interviewer: "I am not engaging" 😂😂😂 @elonmusk