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这几天，SpaceX 官宣 Fram2 任务指挥官王纯（Chun Wang）未来将参与更深空探索计划，再次把这位神秘的华人比特币大佬推到聚光灯下。 王纯，出生于天津，2023年成为马耳他公民，企业家、商业航天员，也是数字货币矿池“鱼池”（F2Pool）以及区块链质押平台 stakefish 的联合创始人。 如果未来载人火星任务成行，他很可能成为华人历史上距离火星最近的人之一。 但比起财富和头衔，更有意思的是：他到底是个什么样的人？ • 曾经的搜狐程序员 • 一个“标准程序员 + 太空极客”混合体 • 低调、内向，像一个纯粹而孤独的探索者 • 痴迷旅行，热爱坐高铁、飞机四处跑，自称“高铁千次男” • 对数字和统计近乎执着，钟爱各种计数 • 戴着那块廉价的卡西欧 F-91W 上太空 • 坚信比特币未来会成为火星时代货币 • 遇到难题时，不是熬夜，而是选择先睡一觉再思考 • 不婚主义者 • 川粉 • 健康的生酮饮食者 程序员们，我们可以拥有梦想, 也可以奔赴星辰大海。 只要坚持，代码之外，同样有远方! #王纯# #ChunWang# #SpaceX# #Fram2# #比特币# #太空# #food# #生酮#

My 36th flight of 2025 was fram2. My 36th flight of 2026 is an Ultimate Aviation helicopter (ZS-RDW) flight from Icetugs Argus to Bouvet Island. This is my 1146th flight of all time. Bouvet Island (ISO 3166-2:BV) has become the 150th (of 249) country/territory I have visited. 🇧🇻

《超级富豪的世界》 昨天关于王纯 @satofishi 拿500个BTC测试钱包是否安全的case引起蛮多讨论的，包括有人怀疑是否真实。 他原贴里专门留了黑客盗走BTC后的钱包地址：14H12PpQNzrS1y1ipjF4mPuVgQEpgfGA79 用区块浏览器打开后可以看到盗窃发生在2024年2月12日，黑客后续在15日已经逐步把490个BTC拆分洗到了无数小地址中。 按当时BTC 50000的价格，他拿了2500万来实验钱包是否安全，然后黑客拿走了2450万，慷慨的留给了他50万。 不过让我更惊叹的是他的心态。 2月12日被盗后他的推特丝毫没有任何情绪变化，依然淡定的记录自己的飞行经历，分享使用Vision Pro在经济舱的体验更好，完全没有损失一笔巨款的懊悔，简直大心脏。 如果不是这两天自己爆料，没有人知道他还被盗过如此巨额财富。 难道500BTC对他来说也只是一点欢乐豆而已？撒在地上脏了就算了？😂😂 找了几个数据来源想看看他到底身家多少，但因为他是BTC 远古恐龙，大量BTC很可能存在冷钱包中无法统计。 目前只能知道被识别出的两个主要地址共持有约 12.8 万枚 ETH，3000一个算的话大概3.84亿美金。 然后他还持有两家重量级现金牛企业： F2Pool（鱼池），曾是全球最大的比特币矿池，目前依然排前三。 StakeFish： 全球领先的质押服务商（Staking），管理着数以十亿计的资产规模。 王纯身家最硬核的证明是他 全资赞助并担任指挥官 的 SpaceX Fram2 任务。虽然具体金额未公开，但参考 SpaceX 过往的包机任务（如 Inspiration4），这种包下整个载人龙飞船的私人任务成本通常在 1.5 亿至 2 亿美元 之间。 保守估计： 王纯的身家在 25 亿美元以上。 这样看起来，少2500万美金也就是少了1%的身家，似乎，好像，的确没那么肉疼？😂😂😂 但即便这么有钱，他看起来好像生活过的并没有那么穷奢极欲，11月底分享的坐飞机经历还在说熊市来了，要坐经济舱出行。 超级富豪的世界，真的不太懂。今天不吃牛排了，换成KFC😅

Sam Altman asked Elon Musk what he'd do if he were 22 again. Not "build Tesla." Not "start a rocket company." Two words: be useful That's the whole framework. It sits on two questions almost nobody asks themselves. How much better is your solution than what already exists? How many people can it actually help? Multiply the two. That's your real impact. Every company that has ever changed the planet started by solving a useful problem for a specific group. Nobody who set out to "change the world" ever did. The companies that transformed anything started by making one boring, useful thing 10x better. 22-year-olds looking for a moonshot miss the actual moonshot sitting in the boring problem next to them. Be useful. Ship it to a small group. See if they can't live without it. Repeat. What's the most important problem you think still doesn't have a real solution? Drop it in the replies.

开发系统最极致高效的Agents.md，没有之一： # AGENTS.md ## Core Principles - Choose the simplest implementation that fully satisfies the current requirements. Avoid unnecessary abstraction, configuration, indirection, or speculative extensibility. - Make the smallest necessary change that fixes the root cause. Do not refactor unrelated modules or change strategy semantics unless explicitly requested. - Grow the system in layers. Start from the smallest working end-to-end version and add new capabilities incrementally. Never replace a working system with unfinished complexity. - Reuse existing project components before creating new ones. Prefer extending proven modules over introducing parallel implementations. - Prefer well-maintained libraries when they reduce overall complexity or improve reliability. Do not reimplement common functionality without a clear benefit. - Keep components modular with clearly defined responsibilities. Avoid unnecessary coupling between strategy logic, execution, accounting, replay, and infrastructure. - Design for long-term maintainability once a feature or strategy has been validated. Do not over-engineer speculative ideas before evidence exists. --- ## Strategy Development - Validate hypotheses with historical replay before introducing forward-only logic whenever historical validation is possible. - Every trading strategy must progress through Replay → Shadow → Canary → Live. Do not skip validation stages. - Base design decisions on measurable evidence rather than intuition. Optimize only after demonstrating that an edge exists. - Treat every strategy as an independent contract. Do not silently alter frozen behavior without explicit authorization. --- ## Existing Systems - Do not break running Shadow or Live systems for unrelated work. - Preserve compatibility only when required by active production or validation workflows. Otherwise, remove obsolete code instead of accumulating compatibility layers. - Reuse existing infrastructure whenever possible, including replay engines, accounting, execution, wallet management, order book handling, logging, monitoring, and daemon frameworks. --- ## Engineering Standards - Prefer deterministic behavior over hidden automation. - Fail loudly when assumptions are violated. Do not silently ignore errors or fall back to unexpected behavior. - Keep configuration minimal. Introduce new configuration only when behavior genuinely needs to vary. - Remove dead code instead of leaving unused paths behind. - Write code that is easy to inspect, replay, test, and reason about. - Keep implementation consistent with existing project architecture unless an architectural change is explicitly requested. --- ## Scope Discipline - Implement only the requested scope. - Do not introduce unrelated optimizations, redesigns, migrations, or feature expansions. - Non-blocking findings outside the requested scope may be noted separately but must not be merged into the current task. - Consider a task complete once its agreed acceptance criteria are satisfied. Treat subsequent improvements as separate work items.

Un multimillonario subió al escenario, agarró un marcador y en 42 minutos explicó cómo funciona realmente la economía. Gratis. Sin vender cursos. Sin promocionar fondos. Dibujó tres fuerzas en una pizarra blanca: crecimiento de la productividad, el ciclo de deuda a corto plazo y el ciclo de deuda a largo plazo. Con esas tres líneas explicó casi todos los crashes, recuperaciones y decisiones de tasas desde 1929. Las escuelas de negocios cobran 200.000 dólares por enseñar frameworks que él resolvió en los primeros 15 minutos. Algunos de esos modelos todavía se consideran “propiedad” en grandes bancos y él los regaló en YouTube. Lo más interesante: en 2018 ya estaba dibujando lo que después pasó en 2020. Tasas en cero. Bancos centrales sin herramientas. Impresora de dinero a toda máquina. Lo escribió en la pizarra como si estuviera leyendo el periódico del futuro. Hay gestores de carteras de primer nivel que hacen que sus analistas junior vean esta charla antes de tocar un terminal. No el material del CFA. No la formación interna. Esta. Millones de personas la han visto. Casi nadie puede nombrar las tres fuerzas que dibuja en los primeros diez minutos. Y sigue estando gratiss. Te recomiendo ver y guardarlo. ES UNA JOYA.

FLUX 3 Video is here. Serious, fun, creative, real, cinematic, whatever you need it to be. Native audio, Text to Video, Image to Video with multiple frames, video continuation, dialogue in multiple languages. Comes with Draft mode so you can explore ideas fast at a fraction of the cost. Up to 20 seconds and 1080p native. Available in the API or in your favorite tool. 2K, 4K, and Open Weights coming soon.

WanGP v12.41, MiniMax H3 MiniMax H3 is a top-notch open-weight Seedance 2 Contender that you can install on your PC WanGP implementation is as usual ultra optimized: 5-6GB of VRAM only for 5s (124 frames) and 8-9GB of VRAM for 15s at 832x480 Many thanks to @MiniMax_AI for this breakthrough model !

RAG system that skips HTML parsing entirely! PixelRAG is an open-source visual RAG framework that renders documents as screenshots instead of parsing them into text. Most RAG pipelines start by converting HTML to text. Tables flatten into unstructured rows. Charts disappear. Layout context is gone before the LLM ever sees it. The paper measured this directly: HTML-to-text conversion accounts for 36.6% of retrieval failures on SimpleQA. PixelRAG skips that step entirely. It renders pages as screenshot tiles using Playwright, embeds those tiles with a fine-tuned Qwen3-VL-Embedding model, builds a FAISS index, and passes retrieved images directly to a VLM reader. No text abstraction in between. Benchmarked across six datasets against the strongest text-based baselines: - SimpleQA: 78.8% vs 71.6% (+7.1 points) - NQ-Tables: 48.8% vs 42.5% (+6.3 points) - EVQA: +15.5 points - LiveVQA: +11.3 points One honest caveat from the authors: this requires Qwen3-VL-4B class models or larger to see the benefit. Smaller models trail text retrieval. The authors also recommend using PixelRAG as an enhancement layer alongside existing text systems rather than a full replacement. Ships with a pre-built Wikipedia index covering 8.28M articles across 28.1M screenshot tiles. A Claude Code plugin lets Claude take screenshots of any URL and reason over the visual content directly. Key capabilities: • Renders web pages, PDFs, and images as screenshot tiles via Playwright • Fine-tuned Qwen3-VL-Embedding model for visual retrieval • FAISS index for fast vector search • Pre-built Wikipedia index: 8.28M articles, 28.1M tiles • 3x token cost reduction via image compression • Claude Code plugin for direct URL screenshot and visual reasoning • LoRA fine-tuning support via pixelrag-train 100% open source. I've shared the link in the replies!