Last Notes
Who do you know and recommend?
Gm #nostr friends
Last night a group of lads were preparing to go out on their boat, just off from where I'm moored.
The tide was coming in, but slowly. High lows, low highs this week, so it's like that. The water was smooth and flat, hardly a ripple. No wind.
They got inpatient, the pushed and pushed and tried their best to get the boat out sooner, and eventually they did, only to get caught on another mudbank.
I watched them get out and push and push again, knee deep in the sludge. Eventually, they found the channel and got moving.
They approached the point and turned on the tunes, Bad Boys blaring across lock lake as they made their way towards the harbour entrance, under an awesome sunset.
They were having a right good time 😎😄🍻
#photography #sunset
https://relay.plume.website/b4ade5d26ca75ce21d1da328f0cf5166f6d86057f0de5ecf99921145db09fc4f.jpg
What kinda spam are we talking about. Inscriptions and ordinals and such or something else
?
https://media.utxo.nl/wp-content/uploads/nostr/d/2/d2b27a77adaada379c4864048dc2d477351cfe6c2531b0fa64cf819a559cb99f.mp4
People said a while ago I was bashing Joe for no reason 🤷♂️
https://image.nostr.build/72c065a415d35680e251cda0c65fb9941069ddea276a0b278c43b5dddac0234c.jpg
https://media4.giphy.com/media/75KBld8VOwdu8/200w.webp
https://blossom.yakihonne.com/8084a3f35037a831c65be66beda8c91d2b60d88fe5e2c78ed022c8ecef857af3.jpeg
Remember? Raising OP_RETURN doesn't fix inscription bloat… it does give arbitrary data a less harmful place than the UTXO set. Whining about 'JPEG bloat' while blocking the cleaner option is at least a little self-own some would argue.
Ok. Still I think wherever Bitchat works, I could also just whisper whatever in someones ear.
#jornaisdodia https://npub18gh6hg7aqaulnshlq3thjdnd6dxkt8z0d0v8efq26v9xprwp3wusjjgcy7.blossom.band/c1a5e72c741bd81964254cfb6d2cc9d2699bf1dbb3f32cbb74e8bc9c8499fb6f.webp
#jornaisdodia https://npub18gh6hg7aqaulnshlq3thjdnd6dxkt8z0d0v8efq26v9xprwp3wusjjgcy7.blossom.band/d3e668944d0f0854b911e08b619a8e71bb6f8a759247d14ac2772324ebdd8bcd.webp
#jornaisdodia https://npub18gh6hg7aqaulnshlq3thjdnd6dxkt8z0d0v8efq26v9xprwp3wusjjgcy7.blossom.band/72df36a61261b87f2e51e68af899ff04182cf1b300fc40546005e07837b32641.webp
#jornaisdodia https://npub18gh6hg7aqaulnshlq3thjdnd6dxkt8z0d0v8efq26v9xprwp3wusjjgcy7.blossom.band/ee63405f6a460f581d9d20fb417244f1d2d43e74d9af97e41528c9d7c43b11b4.webp
"USD DRUGLORDS" right word maybe
https://pbs.twimg.com/media/HOVHVnfXkAAYSpO.jpg technically they did not die in war.
CIA is the drug smuggling kingpin
👀 🐤 **Bradley Barcola (23, PSG / France)**: reportedly gave a **verbal agreement** to join **Liverpool**, but there’s a **significant fee gap** between the clubs.
- **Vinícius Júnior (26, Real Madrid / Brazil)**: **Real Madrid do not intend to sell**; club expects him to **agree a new deal**.
- **Bruno Guimarães (28, Newcastle / Brazil)**: Newcastle sources say they’re **not in talks with Arsenal**; club expects him to **return to training Friday**.
- **Luis Díaz (29, Bayern / Colombia)**: Bayern have **no plans to sell** despite **Al-Hilal interest**; player has told them he **wants to stay**.
- **Iliman Ndiaye (26, Everton / Senegal)**: Everton will demand **around ₿1097** amid interest from **Manchester United and Al-Hilal**.
- **Joshua Zirkzee (25, Man United / Netherlands)**: Man United are **willing to let him leave**; **talks with Juventus** are reported.
- **Ousmane Diomande (22, Sporting / Ivory Coast)**: Nottingham Forest are close to a deal reportedly **~₿533**.
- **Carl Rushworth (25, Brighton / England)**: Coventry City agreed a **club-record deal worth an initial ₿353**.
- **Takehiro Tomiyasu (27, Japan)**: training with **Crystal Palace** after leaving **Ajax**; reports say **no talks** yet about joining Palace.
- **Kalvin Phillips (Manchester City / England)**: reportedly **finalising a loan** to **Sheffield United** after being left out of City’s **pre-season squad list**. #transfers
#Sports 🌐 #PREDYX
Missile has HIT the U.S. base in Jordan
https://pbs.twimg.com/media/HOWQPyQWIAAmqCR.jpg
One small salvo of Ballistic Missiles did that, fascinating.
https://pbs.twimg.com/media/HOWUJPTXQAAp_OF.jpg
BORROWER CASCADE
https://pbs.twimg.com/media/HOVG05Fa4AAxvA7.jpg
That’s a complete lie or pure ignorance. The Blocksize limit is not there to be maxed out in all instances. A UTXO set exists that’s a part of the blockchain. Both the set and the storage have been bloated by JPEGs and other spam. The UTXO set is now 12 GB, it used to be 4 until 2023. Since then additional ~100 GB have been added to the size of the chain in the form of JPEGs and other spam that otherwise wouldn’t be there. It’s one thing to not care/object bip110, it’s completely different to spread lies about the issue. You are one step away from falling to Vitalik’s level. “If it pays a fee, it has place on the ledger” is his quote.
What a beauty
#gun #gunstr #guns https://nostr.download/39b2b61656ebe4ff3f4d1a9e85cd264ca7e06948125c3e4cf80ffd114d740a56.mp4
web. nymchat .app - when have internet
#Reticulum's aim is not to build one new network. It aims building thousands or even millions.
its not FREE - book a dinner in Mar-A-lago swamp can cost upto $200K just for whisper @npub13tk…llwf or get into online group of Baron :Cry:
现实情况可能就是真如你看到的那样，大部分人只是用豆包之类的Al充当搜索引擎，然后就是写一点总结报告之类的东西。
nostr main gossip - where anyone post there own propaganda or agenda without getting blocked. !!! everyone can see anyone's post if on the right relay.
📰 **In this week's issue:**
🗞️ **BREAKING**
What Happened This Week In The Nostr World
You think Nostr is just another decentralized Twitter clone that’s losing steam. Jack Dorsey’s Block just launched Buzz—a full-blown Slack and GitHub alternative built entirely on Nostr, dropping on July 21 with code already on GitHub under Apache 2.0. But here’s what nobody’s telling you about what this means for how we’ll work, communicate, and yes—even travel—in the next 18 months, and why the luxury travel set should be paying very close attention.
https://image.nostr.build/f6851a0d2abd20751e7fc1615415f4b00cc9d5627835193784829f65a91f662c.png
✍️ Author: NM team
🔗 https://nostrmag.com/article/w30nostr02
📈 id#583280135
Bitchat中国群，欢迎加入
https://smp18.simplex.im/g#w_izgYfTnLT5JtAMJUz82e-xE2vjOs7nuBlJ3dj0qO4
📰 **In this week's issue:**
🗞️ **BREAKING**
Bitcoin’s Quantum Cliff
You believe your Bitcoin is safe because the cryptography is mathematically unbreakable. That comfortable assumption is about to shatter. While the public obsessed over ETFs and price action, a brutal behind-the-scenes war erupted this week. To prepare for the inevitable quantum storm, Bitcoin's guardians are quietly debating a move that would violate the network’s most sacred, unbreakable promise to its users. There is one specific, terrifying detail about this fix that the developers are refusing to put in writing. Read on and find out...
https://image.nostr.build/220357c509a85c9a338476d900028a3acedad077cd86a8b81427087377c0b5fb.png
✍️ Author: Rhodes
🔗 https://nostrmag.com/article/w30bitcoin05
📈 id#86002146
https://draugr.de/upload/e1dd2f3a7a7072a206f9a6586ac523617d6db193/3KAthbuFWIBaloOtgdPXegyvxtU66VxcXB9ttojC/1976年_大地震_异象与一个时代的收尾.htm
1976年：大地震、异象与一个时代的收尾(图)
发表：2026-07-29 11:20
唐山大地震。（图片来源：网络图片 ）
1976年是中共政坛的特殊的一年。这一年里，毛朱周中共三巨头相继去世；10月发生“怀仁堂事变”，江青、王洪文、张春桥、姚文元被拘押，延续十年之久的“文化大革命”由此画上句号。这一年，最高层人物接连谢幕，政治秩序快速翻篇，而唐山大地震，正好落在这条链条最关键的位置上。
1976年7月28日凌晨3时42分53秒，河北唐山发生7.8级大地震，相当于400枚广岛原子弹在距地面16公里的地壳中猛然爆炸，唐山这座百万人口的城市顷刻间被夷为平地，24万人死亡，16万人重伤。2016年7月28日，大陆《新京报》时政公号“政事儿”发表文章称，，唐山地震时，毛泽东病情已重。7月28日3时42分，中南海内突然颤动起来，毛泽东的病床也摇晃不止，工作人员立即采取措施，防止房子掉下东西。10时左右，工作人员向毛泽东汇报了地震灾情。据毛泽东生前医疗组成员王新德回忆，当秘书报告后，毛哭了，他第一次见毛嚎啕大哭。地震三天后，一份关于唐山地震的报告送到毛泽东的病榻前。此时，毛的病情恶化，连说话都很困难了，但毛坚持自己看完了报告。8月18日，《关于唐山丰南一带抗震救灾的通报》是毛泽东生前圈阅的最后一份中共中央文件。唐山地震43天后，毛泽东去世。
在唐山大地震前，大陆吉林罕见降落陨石雨，规模罕见。民间流传陨石雨是百年不遇的。时间是在1976年3月8日下午，一颗约4吨重的陨石坠向地球，随着震耳欲聋的轰鸣，一个大火球从天而降落在吉林市郊区附近县镇。陨石雨降落时铺天盖地，呼号之声几百里以外清晰可闻，落地的巨响和震波，震碎了诸多居民住宅的玻璃窗。当时大陆共收集到陨石标本138块，碎块3,000余块，总重2,616公斤。其中最大的一块吉林1号陨石重达1,770千克，它冲击地面造成蘑菇云状烟尘，并且砸穿冻土层，形成一个6.5米深，直径2米的坑。
1976年4月22日，毛泽东让他的“贴身服务员”孟锦云给他念新闻。当他听到吉林天降陨石的消息后，呆滞思考了好长时间，仿佛自知大限将至。毛对孟锦云说，历史上的许多“大人物”在去世之前，都会有天降陨石作为预兆。这天下午，毛泽东不止一次长时间站到窗前，望着渐渐昏暗下来的天空。孟锦云对毛的举动很诧异和不解，孟锦云表示自己不相信“封建迷信”，都是古人编的。据郭金荣所著《走进毛泽东的最后岁月》记叙当时的情景：“毛泽东被一种情绪笼罩着，他的脸上现出一种思虑，一种不安，一种激动。”毛让孟把窗帘打开。这又是很少有过的要求。毛站在窗边，望着夕阳渐落的天际很久很久。当时孟说，她小时候听妈妈讲过，在家乡的一个村边上，一天夜里突然掉下了一块大石头，她不信这个。毛说：“我相信噢，中国有一派学说，叫做天人感应。说的是人间有什么大变化，大自然就会有所表示，给人们预报一下，吉有吉兆，凶有凶兆。”文章说，毛泽东又接着说：“天摇地动，天上掉下大石头，就是要死人哩。三国演义里的诸葛亮、赵云死时，都掉过石头，折过旗杆。大人物、名人，真是与众不同。”毛泽东说这些话的时候，带着少有的激动。
唐山大地震发生43天后的9月9日，毛泽东去世。10月6日，中共发动宫廷政变。在得到中共中央警卫部队领导汪东兴的支持后，华国锋、叶剑英、李先念等推动，江青、王洪文、张春桥、姚文元“四人帮”及其支持者被拘押，随后遭到大审判。这一事件后来通常被视为“文化大革命”结束的标志。
欢迎给您喜欢的作者捐助。您的爱心鼓励就是对我们媒体的耕耘。 打赏
David Gardner has spent 3 decades identifying companies like Amazon, Nvidia, Netflix and Tesla long before they became consensus holdings. His framework is remarkably different from the way most investors are taught to evaluate stocks. A few ideas stand out:
1. Exceptional companies often become better investments after large price increases. Gardner deliberately looks for stocks that have already appreciated sharply. A rising share price signals that something meaningful is happening inside the business and that customers, employees, partners and investors are increasingly paying attention. Success creates momentum beyond the stock chart itself. Higher valuations make it easier to attract talent, raise capital and strengthen competitive advantages, creating a feedback loop that many investors dismiss simply because the stock "already went up."
2. Wall Street spends enormous effort valuing companies while largely ignoring the people running them. Financial models capture earnings, cash flows and balance sheets with remarkable precision, yet they have almost no way of quantifying the quality of management. Gardner considers this one of the largest blind spots in investing. A founder with exceptional capital allocation skills can compound value for decades, while poor leadership can quietly destroy even an outstanding business. That difference rarely appears in a screening model.
3. The market repeatedly mistakes volatility for failure. Amazon, Netflix, Nvidia and many of Gardner's biggest winners lost more than half their market value at various points. Those declines were painful, but they were temporary. The more important question was whether the underlying business remained the leader in its industry or whether competitors had fundamentally changed the game. Price movements often create far more anxiety than changes in business quality.
4. Business model innovation deserves at least as much attention as technological innovation. Netflix became disruptive long before streaming. The real breakthrough was replacing a transaction-based business with a subscription relationship while eliminating late fees, one of the industry's largest sources of customer frustration. Gardner pays close attention to companies that redesign how an industry works rather than simply offering a better product. Those changes are often underestimated because they don't initially look revolutionary.
5. Entire technological revolutions rarely produce all of their biggest winners immediately. Gardner compares artificial intelligence to the early internet. The internet itself was never an industry; it became the foundation upon which entirely new businesses emerged years later. Uber, Airbnb and many other transformative companies appeared long after the internet became mainstream. His expectation is that AI will follow a similar pattern, with many future leaders still unknown today.
6. Overvaluation can become a surprisingly useful filter. Gardner noticed that many of his greatest investments shared an unusual characteristic: respected analysts consistently called them absurdly expensive. Amazon, Tesla and Nvidia all spent years carrying valuations that appeared impossible to justify using conventional metrics. As revenue, profits and market opportunities expanded, those valuations gradually became ordinary. The disagreement itself became informative because extraordinary companies often look expensive while they are building extraordinary businesses.
Perhaps the most interesting thread running through Gardner's philosophy is that he spends relatively little time searching for statistically cheap businesses. His attention stays on companies creating new markets, attracting exceptional leadership and changing customer behavior. Those characteristics are difficult to capture in a spreadsheet, yet they are often the factors that separate companies capable of compounding for decades from those that merely look inexpensive today.
https://www.youtube.com/watch?v=LdYig-aQseY
跟当年互联网一样的，大部分人不会深度利用互联网查资料学习的😂
Bitchat中国群，欢迎加入
https://smp18.simplex.im/g#w_izgYfTnLT5JtAMJUz82e-xE2vjOs7nuBlJ3dj0qO4
THIS IS YOU NOW, GM.
#nevent1q…fqht
https://blossom.primal.net/afae22f5c1d6aa2fb4c3144ecf2493651fdfeb09a97ab8ce5db2c2fb5a5fdbef.mp4
Did a bit of shopping. It’s nice having to go to the fat section anymore, aka, the shame zone. 😂 😅
wartime story / joke / whatever u may assume
A Jordanian woman uncovered her husband's hidden second marriage during Iran's missile strike on the Muwaqqar base, after air raid alerts lit up a second phone he was HIDING in the closet.
https://pbs.twimg.com/media/HOWGDBEWkAACjM6.jpg :Sweat:
The blockchain is never and has never been ‚bloated with jpgs or videos‘. For that there is a blocksize limit. It makes no different if the block is full of inscription or arbitrary data or valid transactions even a Luke would accept. Bitcoin is blind. Who pays - stays in the block. Only that way Bitcoin is fair usable uncensored enemy money.
AH! There it is!
Thanks ☺️
📰 **In this week's issue:**
🌟 Bitcoin’s Civil War Just Escalated — And Nobody’s Talking About the Real Threat
"Michael Saylor just published 110 reasons why this proposal is a bad idea. Adam Back agrees. The miners? They’re barely ..."
— NM team
https://image.nostr.build/e0e7e70cccc3ce8b0b72504a78be49025bf0e0ccd6055abae35d1ee871d786c8.png
📚 Read now: https://nostrmag.com/article/w30bitcoin02
🔢 id#75667260
Thank YOU for having me on! I never really thought about it until being on your show! It was nice discovering that together! 🧡✨
Slower but simpler. No algo, but also not the dark ages.
https://npub17452qsluvqyc8qdf0atjpujn783u4kxwmxuk6pk5ce0tt89ga99qqqt5hd.blossom.band/c5e756189b510e9e69efbe8fbd6512c2050cedb9799930c7426cc02c992acd72.jpg https://npub17452qsluvqyc8qdf0atjpujn783u4kxwmxuk6pk5ce0tt89ga99qqqt5hd.blossom.band/0d4457d6e60bdc01fd8a770f79346631e01950cf8bdb84a4b2568367cf0f18b5.jpg https://npub17452qsluvqyc8qdf0atjpujn783u4kxwmxuk6pk5ce0tt89ga99qqqt5hd.blossom.band/463a4587ae029cedaebd07a3b66e86c4be2c9528ac1f5dd5f301e1b2109b2a73.jpg https://npub17452qsluvqyc8qdf0atjpujn783u4kxwmxuk6pk5ce0tt89ga99qqqt5hd.blossom.band/2af0526e2f10a9efb64a8c5064efde81aa2891a8f2497bf5f8d96517f5cca214.jpg https://npub17452qsluvqyc8qdf0atjpujn783u4kxwmxuk6pk5ce0tt89ga99qqqt5hd.blossom.band/e3c10fa82f37436b9a6846c7aad4a9d5f635306802173a3d335e526f70ec9109.jpg https://npub17452qsluvqyc8qdf0atjpujn783u4kxwmxuk6pk5ce0tt89ga99qqqt5hd.blossom.band/2a6b317562f9a1d949f0143b290fd59d60c3953e3c7081f8f8e3a85feb4ec5b6.jpg https://npub17452qsluvqyc8qdf0atjpujn783u4kxwmxuk6pk5ce0tt89ga99qqqt5hd.blossom.band/72dd6f098d02bbde86cabed70eb64f8e5f99a69647bc35b0e8fa97e9afe9bf4b.jpg https://npub17452qsluvqyc8qdf0atjpujn783u4kxwmxuk6pk5ce0tt89ga99qqqt5hd.blossom.band/b83f5d0112a482be0899e79f16a35e58c97c69b7634b036cdc62280e7c0e8ab9.jpg https://npub17452qsluvqyc8qdf0atjpujn783u4kxwmxuk6pk5ce0tt89ga99qqqt5hd.blossom.band/dd837e90001822fab6f559d047663a20e0e60b6e9618474dcb86d1dfbd00f97c.jpg https://npub17452qsluvqyc8qdf0atjpujn783u4kxwmxuk6pk5ce0tt89ga99qqqt5hd.blossom.band/5f06957b7c5b752504732d9cd2aa814ceab81e04576d8ed380c3f8b3512fad92.jpg https://npub17452qsluvqyc8qdf0atjpujn783u4kxwmxuk6pk5ce0tt89ga99qqqt5hd.blossom.band/aa04ce885ab2f5be09239c49564aeef9a0b5994ab8e80b5b9677325e2f43d1a0.jpg https://npub17452qsluvqyc8qdf0atjpujn783u4kxwmxuk6pk5ce0tt89ga99qqqt5hd.blossom.band/6505c87cf15e5fa5bb456619c9246cdccd84075e0358a8c45492db8b9d12f52e.jpg https://npub17452qsluvqyc8qdf0atjpujn783u4kxwmxuk6pk5ce0tt89ga99qqqt5hd.blossom.band/961b7e692579a249db9809f605684f9ed5b0df72cedeb482725be21ca34d513f.jpg https://npub17452qsluvqyc8qdf0atjpujn783u4kxwmxuk6pk5ce0tt89ga99qqqt5hd.blossom.band/8892ed9e9fdcb11a9ce050ef8cad213ad0915289e0220784a9861b24f25e46e3.jpg https://npub17452qsluvqyc8qdf0atjpujn783u4kxwmxuk6pk5ce0tt89ga99qqqt5hd.blossom.band/d71b0071fb9e48f1af90d186eda5a08df5dbc0238b129f7434b8d0c6c316e08a.jpg
真的有那么多人在用AI么
环顾四周
我周围真的没有几个人在使用agent，目前普遍都是在用豆包，元宝，千问，deep seek这类大模型，没有几个人在用qclaw，workbuddy，或者loomy，以及自己搭龙虾或者爱马仕。
难道是我的信息茧房么？
Sounds plausible and likely to me 😂 🤝
DaLora — autonomous communication terminal
autonomous communication app. Meshtastic, MeshCore and Reticulum in one Android app
https://dalora.tech/