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聪明的朋友可能发现了，虽然BTC最低触及了66+, 但很多山寨币并没有下跌太多，比如 $Pump一夜价格没有任何波动。 这就是我经常说的理论，山寨没有那么多货可出了，也没有做市价值。 目前山寨币指数在54，以往的下跌末期都会降到30以下。 这不是偶然，是未来的趋势，BTC的波动会大于一些山寨币，反而更适合交易者操作，山寨的流动性逐渐被吸干，一些龙头会有更好的上涨，大部分逐渐死亡，不归零但没人交易。 所以抄底时也许可以多考虑一些标的。 Sharp observers might have noticed that even though BTC dipped to the $66,000+ range, many altcoins didn’t fall all that much—for instance, the price of $PUMP remained completely flat overnight. This aligns with a theory I often discuss: there simply isn’t much supply left to dump in the altcoin market, nor is there much value in market-making for these assets. The current altcoin index sits at 54; historically, toward the end of a market decline, this figure typically drops below 30. This is no coincidence—it’s a sign of a broader trend. BTC’s volatility is now exceeding that of many altcoins, making it a better vehicle for traders. Meanwhile, liquidity in the altcoin space is gradually drying up. While a few leading tokens may still see significant gains, the vast majority are effectively dying—not necessarily hitting zero, but simply becoming illiquid with no trading activity. Therefore, when looking for "buy-the-dip" opportunities, you might want to be more selective about which assets you target.

This is the biggest irony of the whole Alice Huang / Nvidia saga: the Chinese government actually doesn't want Nvidia chips and is actively keeping them out of the country. Last year it even ordered Alibaba and ByteDance to cancel their Nvidia orders ( and sent customs teams to the ports to check every advanced chip coming in ( And right now 600,000 Nvidia H200s are stuck in Hong Kong because Beijing won’t let them into the country ( Nvidia also explicitly frames this as a threat to its business in its latest annual report to the SEC: "The Chinese government has encouraged customers to purchase from our China-based competitors and discouraged customers from purchasing, importing, or using our data center products" ( Why does China do that? Because every Nvidia chip a Chinese company buys is one that Huawei or Cambricon doesn’t sell, and domestic chips can only catch up if people actually buy them (which means money for R&D, etc.). Which means that the notion that Chinese intelligence was running honeytraps to get more Nvidia chips into China gets the whole thing exactly backwards. In fact, it looks like Megaspeed - Alice Huang's company - was a counter-reaction to official Chinese policy: a private sector workaround to these efforts by the Chinese government to curtail Nvidia. As was widely reported - including by Western media - Megaspeed built data centers in Southeast Asia and rented their computing power to Alibaba, which the New York Times called "a backdoor way of getting access" to Nvidia chips ( That is a backdoor not only - allegedly - around Washington’s export controls, but also around China's own efforts to wean its companies off Nvidia. I can’t believe the Chinese government was too thrilled about it: it'd make just about zero sense for it to run countless domestic measures to prevent Alibaba from using Nvidia chips, yet at the same time have its top spy agency help the same Alibaba get Nvidia chips through the back door in Southeast Asia 🤷 At the end of the day, as with all such stories, you always need to look at "cui bono?": who benefits? Who benefitted is pretty clear: - Nvidia itself: it's in the business of selling chips so a customer willing to spend billions of dollars on chips in Southeast Asia is a godsend. Again, as they themselves state in their SEC filings, not being able to tap into Chinese demand would have "a material and adverse impact on our business" ( - Chinese companies like Alibaba: facts are, 1) Chinese chips haven't yet caught up, 2) Chinese chip companies' production capabilities are still limited and 3) Chinese tech firms' historical tech stack runs on Nvidia’s CUDA ecosystem, and rewriting years of code for Huawei chips is painful. Renting Nvidia chips in Southeast Asia is the easy way to stay competitive and serve customer demand in the meantime. - The US, according to core members of the Trump administration: back in July last year, US Commerce Secretary Howard Lutnick explained that the point of letting Nvidia sell more chips to China was to get Chinese developers "addicted to the American technology stack" ( Who does NOT benefit, according to official Chinese policy, is the Chinese state, which has made tech self-reliance one of its foremost priorities. Which means that, to believe the spy story, you have to believe that a person - Alice Huang - was effectively a spy paid by her own government while simultaneously sabotaging its tech self-reliance drive, which it has spent years and trillions of dollars on - pretty senseless. Stranger things have happened, I guess, but it doesn't pass the smell test. And there is another absolutely major contradiction in the media story. According to a Financial Times article published yesterday ( "a person who knows [Alice Huang] said they had been asked by MSS for information about her earlier this year after news emerged that Singapore was investigating the company in relation to chip-smuggling allegations. The agency wanted to find out more information about Huang, including the nature of her business and connections, the person said." Which raises a damn obvious question: if she were indeed an MSS asset, why on earth would the MSS need to ask the people around her who she was and the nature of her business? It's a complete contradiction with the spy story - but very much not a contradiction with what I described above: a private businesswoman running a workaround to Beijing’s own policy, which the Chinese security apparatus would naturally want to look into. Especially since, around about the same time, Shanghai police detained her business partner, reportedly her husband, in a stock manipulation case ( also coherent with Chinese authorities looking into her network, and much harder to square with her being a prized MSS asset. And, to top it all, there is - to this day - not a shred of evidence that's been published that she is, in fact, a Chinese spy: just anonymous intelligence officials, repeated by journalists who never verified it, as I detailed here ( and here ( with one of the key FT journalists on this story actually admitting that he has no idea what evidence US intelligence actually has. So the claim went to print without anyone seeing the evidence, without anyone being able to check it, and without anyone knowing whether it even exists. And given everything above, from Beijing blocking the very chips she was supposedly recruited to help get into China, to the MSS asking around about her, to her partner being detained in Shanghai, my bet is that the evidence doesn’t exist at all. If anything, everything we can check points the other way.

When I look at the next decade, I see these three technologies are coming together. The internet makes information global and instant. Crypto is making value global and programmable. And AI is making intelligence scalable and personalized. When these three technologies come together, financial services can fundamentally change. Money can move globally 24 hours a day. Markets can become more accessible. Payments can be cheaper. Financial products can become more personalized. And services that historically were only available to wealthy consumers can potentially become available to everyone. 展望下一个十年，我认为这三项技术将会融合。互联网让信息实现全球化、即时化；加密技术让价值能够全球化、可编程化；而人工智能，则让智能能力具备可扩展性与个性化。 当这三项技术融为一体，金融服务将会发生根本性变革。资金可以全天候在全球流转，市场门槛会进一步降低，支付成本会变得更低，金融产品可以更加个性化。那些过去只有富裕人群才能享受到的服务，未来或许人人都能使用。 摘录自昨天 OKX CEO @star_okx 的主题演讲！

Jack Ma told Elon Musk humans will always be smarter than machines. Musk’s reaction says everything. “Computers may be very clever, but human beings are much smarter. We invented the computer. I've never seen a computer invent a human being.” Ma's argument was simple. Computers are tools. They calculate faster, remember more, but humans still hold something machines don't: experience, judgment, wisdom. Musk clearly didn't buy it. “What would be an example of something that humans are better than a computer at?” Watching this exchange now feels completely different than it did then. AI agents aren't just calculating anymore. They're writing code, analyzing documents, planning tasks, deciding what to do next on their own. METR found that the length of software tasks frontier agents can complete autonomously has historically doubled roughly every seven months, with signs of even faster progress through parts of 2024. That's where Ma's argument starts to buckle. For decades, technology automated what humans did. AI is starting to automate what we assumed required a human to think. And companies were already learning to create enormous value with almost no people before this wave even arrived. Instagram sold for $1 billion with 13 employees. WhatsApp sold for $19 billion with 55. Now picture what happens when a small team can direct hundreds of machines that never sleep, never take a salary, never need an office. The question was never just which jobs disappear. It's what happens to the money once fewer humans are needed to create it in the first place. That's the question behind 2028: The Economy Without Humans. Who gets the money when machines do the work?

Falcon 9 flew more missions in ONE YEAR than the entire Space Shuttle program flew in 30 years • The entire Shuttle fleet: 135 missions from 1981–2011 • Falcon 9 in 2025 alone: 165 launches SpaceX exceeded the Shuttle program’s entire lifetime mission count by 30 launches in just 12 months And Falcon 9 also launched more times than every other orbital launch vehicle combined that year At the Shuttle program’s historical average cadence, reaching 165 missions would have taken roughly 37 years Falcon 9 did it in ONE And the hardware reuse comparison is just as insane: • Space Shuttle Discovery — 39 flights across roughly 27 years • Falcon 9 booster B1067 — 37 flights in just over 5 years B1067 first flew on June 3, 2021 By August 25, 2026, the same booster had launched and landed successfully 37 times A single Falcon 9 first stage came within TWO flights of the most-flown Shuttle orbiter’s lifetime flight count in about one-fifth of the time What once took decades of launch operations now happens within a single year of Falcon 9 cadence SpaceX turned reusability into an industrial-scale operation

50 legendary internet rabbit holes you can spend hours exploring👇 1. — Watch the world via live satellite imagery 2. — See every plane currently in the sky 3. — Track all ships at sea in real time 4. — Live map of winds and storms 5. — Watch lightning strikes hitting Earth in real time 6. — Live list of recent earthquakes 7. — Ocean cables carrying the internet 8. — Watch forests disappear from space 9. — The world's statistics, second by second 10. — Current number of tweets and searches being posted 11. — Compare the true sizes of countries 12. — Maps from centuries ago 13. — Archive of 150,000 historical maps 14. — World map drawn by volunteers 15. — Look out the window of a random person around the world 16. — Virtual walks through cities 17. — Teleport to a random spot on Earth 18. — Catalog of the world's strangest places 19. — Interactive knowledge experiences 20. — Scale journey from atom to universe (Updated HTML5 link) 21. — Explore the solar system in 3D 22. — Real sky map in your browser 23. — NASA's astronomy picture of the day 24. — NASA's entire visual archive, free 25. — Visual articles told through data 26. — The state of the world with real data 27. — What we mistakenly think we know about the world 28. — Visualizing complex data 29. — World Bank's open data 30. — Turkey's official statistics database 31. — Archive of millions of books, films, and software 32. — 70,000 free books whose copyrights have expired 33. — Record of every book in the world 34. — U.S. Library of Congress digital archive 35. — Europe's cultural heritage archive 36. — America's digital library collection 37. — Tour museums from home 38. — Download artworks in high resolution 39. — Archive of 250,000 artworks 40. — Forgotten visual treasures of history 41. — Free archive of culture and education 42. — Met Museum's open collection 43. — Family tree of music genres 44. — Pick a country and decade to listen to that era 45. — Turn Wikipedia edits into audio 46. — Random knowledge well 47. — Time, sunrises, and sky events 48. — Live stream of science news 49. — Free preprints of scientific papers 50. — Visualize data with live code Save this. You’ll definitely need some of these later. 🔖 Follow @justinbrave21 for more useful websites, AI tools & tech resources.

Introducing Ondo Intelligent Portfolios, the first three portfolios powered by BlackRock. Ondo Intelligent Portfolios introduces a new onchain product category: curated investment portfolios delivered as single onchain transferable tokens. The first three portfolios are based on portfolio strategies developed by BlackRock for Ondo, marking the first time eligible onchain investors can access exposure to such strategies through a single token. 1. BLKHIon: Ondo High Income Powered by BlackRock 2. BLKDIGon: Ondo Diversified Growth Powered by BlackRock 3. BLKGRWon: Ondo High Growth Powered by BlackRock Diversified, professionally constructed strategies have historically required brokerage accounts and traditional fund structures. Now, delivered as peer-to-peer transferable tokens from Ondo, these onchain portfolios become accessible to eligible non-US investors in permitted jurisdictions through the wallets, exchanges, and DeFi applications they already use. “Tokenization creates new ways for portfolio strategies to be delivered through digital infrastructure. Diversified portfolio strategies can be incorporated into tokenized investment products, enabling eligible investors to access diversified allocations through a single instrument. It shows how established portfolio construction approaches can be delivered through new channels and technologies.” - Lisa O’Connor, Global Head of the Model Portfolio Solutions team and Co-CIO for Global Solutions within the Multi-Asset Strategies group at BlackRock Ondo Intelligent Portfolios can unlock novel capabilities: → Programmatic rebalancing → Full composability with DeFi → Complete transparency onchain → Multiple asset classes in a single token This is just the start for Ondo Intelligent Portfolios. The infrastructure is now in place for leading financial institutions to bring their asset allocation expertise onchain.

Claude has discovered a previously unknown enzyme system hidden in the DNA of bacteriophages. Beside the enzyme’s gene sits a long array of repeating DNA—a structure that looks somewhat similar to CRISPR. We don’t yet understand what this system does, but only a handful of known systems share its features, and all of them are able to cut, copy, and paste DNA. Historically, the discovery of such programmable systems has helped revolutionize medicine. CRISPR, for instance, is now the foundation of genetic medicines. But it will take much more work to learn what this system does, and whether it can be put to similar use. Read more:

AI Is The Most Powerful Joule In History Economic activity transforms energy -> GDP. Historically, technology has improved this conversion. AI represents humanity’s most profound conversion mechanism yet (~10x humans & growing). Energy-rich, low-income countries don't exist!

Many schools today hold smart kids back. They’ve eliminated gifted classes to address “historical inequity.” “This is so misguided,” says @MichaelPetrilli, of @educationgadfly. We show how that hurts ALL kids: