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I think the best case is to make the "monitor" as un-agentic as possible. We don't mind being "monitored" by various random tiny insects we don't even notice, even guard dogs are fine, but we really do mind if it's a globally connected networked system. And the intermediate case, human security guards with no recording equipment, we mind only a medium amount. The best idea I've come up with so far is to make these monitoring devices out of open-source verifiable hardware that has etched on it an open-weight LLM that classifies for a limited number of activities (basically, just violence; sorry, no scanning for jaywalking or not wearing a mask or drugs or unauthorized manufacturing or illegal immigrants, really just violence) and only records and forwards if that's what it sees. The device has no storage, no ability to load new algorithms, this is all it does. Also, a hash of every recording is published onchain (and a device can't record the next one until it sees confirmation of the previous one) so we can all count how much recording is done. Finally, everyone has a legal right to take any such device they see and grab it and dissassemble and verify the hardware themselves. Explicitly fund university clubs, hacker groups, etc to regularly do this.

This slide from the Anthropic IPO roadshow was a big factor in my decision to leave. It’s an insane plot and I’m surprised they made it public. It shows the compute efficiency of pretraining over time. The y-axis is a **log scale**: they are seeing continued superexponential algorithmic progress. Mythos was not a one-time deviation, but a point on a superexponential. They could already retrain Mythos with a fraction of the compute originally needed. It doesn’t strictly imply a software-only intelligence explosion- they have been spending more on R+D. But algorithmic improvements do not require ridiculous creative genius and are on the verge of being automated. You do the math.

决策靠流程，而不是靠心情 公元9世纪，波斯数学家花拉子米写了一本讲印度数字运算方法的书，"算法"（algorithm）这个词，就来自他名字的拉丁化写法。更早，欧几里得在公元前300年前后给出的求最大公约数的方法，是最古老的算法之一。 概念含义： 算法是解决问题的一套明确、有限的步骤。照着做，每次都能得到同样的结果，不需要靠灵感，也不受心情影响。 适用场景： 做菜的食谱，是算法。每月固定一天，定投指数基金，不看涨跌，也是算法。外科医生手术前的核对清单，同样是：2009年一项覆盖八家医院的研究发现，使用后，术后并发症和死亡率都明显下降。 人生启示： 情绪上来时，人最容易做错决定。把重要的事提前拆成流程，写下来，到时候照着走，就能少一些冲动。

🚨 BREAKING: LONDON TRIED TO FLEX, ELON MUSK JUST DROPPED A TOTAL DIGITAL BLACKOUT! UK Prime Minister: "Elon Musk, adjust your platform algorithms and hand over satellite telemetry logs to our regulators immediately, or we will revoke your commercial spectrum licenses and seize all Starlink UK ground stations!" Elon Musk: "You confused parliamentary decrees with orbital mechanics. In space, satellite constellations don't bow to bureaucracy. Try revoking our licenses—your ministers can issue all the press releases they want, but your regional maritime routes can't function without high-speed telemetry." UK Prime Minister: "We will freeze SpaceX financial accounts in London and restrict your aerospace access!" Elon Musk: "Freeze whatever accounts you like! The moment your order goes live, SpaceX software shifts subsea data routing keys away from North Sea terminals. Good luck guiding transatlantic cargo fleets through maritime storms on dark screens!" If this exchange is real, the clash between government power and Elon Musk's technology empire just reached another level. Do you firmly support Elon Musk on this? YES or NO? IF Yes, Give me a THUMBS-UP👍!!

The most first-principles talk at #AIECode# came from @CompleteSkeptic — who co-created RLHF/ChatGPT at OpenAI and now builds Jev. His point: today’s LLMs are optimized for assistance (a human in the loop), not automation. “95% Einstein, 5% Mr. Bean” is fine for a chatbot and fatal for a back-office decision. The Bitterest Lesson: compute beats algorithms, data beats compute, and the bitterest part is picking the right task. Jev’s bet: not bigger, not cheaper, but reliable.

Ever wondered how #XELIS# decodes encrypted balances in milliseconds? Here's the mathematics behind the magic! 👇 🔥 Encrypted on chain: Your balance stays confidential. 🔥 Baby Step, Giant Step (BSGS): A clever mathematical algorithm that avoids checking billions of possibilities individually. 🔥 2⁴⁸ decoding range: Handles an enormous range of possible values. 🔥 Precomputed tables: Around 330 MB of data helps accelerate the decoding process. 🔥 Cuckoo hashing: Enables efficient lookups to find the right values. 🔥 Milliseconds: Complex cryptography becomes a fast, practical wallet experience. 🔥 The result? Strong financial privacy without sacrificing usability. That's how #XELIS# turns advanced mathematics into real world technology. 🎬 Enjoy watching! 👁️ @xelis_project @xelis_fans @web3 @alkazarauniiii @xelisvault #Web3# @Awen__crypto @cryptoprvcy #Crypto# #CryptoMining# #Smartcontracts# #Privacy#

The Moral Collapse of the Chinese Crypto Community To Elon Musk 2022–2023 marked the golden age of Chinese-language Twitter. Back then, there was no creator revenue you offered purely based on traffic. Two main groups of creators came here to share insights: Influencers who migrated over with their followers after their Weibo accounts were banned. Content creators who were already living overseas. These people came with genuine intent to share, and they often uncovered valuable market alpha. Whether it was Bay Area Spaces, inscription research bloggers, or spot and secondary market analysts. Back then, everyone believed the next bull run would be bright. People expected their altcoin spot holdings would deliver at least 5–10x returns. After all, A16Z poured capital into projects left and right, and every so often, stories popped up of Gen Z traders hitting A8 and retiring financially free. Then the tide turned. High-cap tokens pumped immediately upon launch. Instead of bringing fresh liquidity into the market, the ETF event drained what little liquidity remained, driven largely by Trump-related narratives. The crash on October 11 was almost inevitable. Long before that, many had already lost everything on altcoins. That black-swan event merely liquidated whatever leveraged contract positions were left. Starting around 2024–2025, after X rolled out creator ad revenue, a flood of traffic chasers emerged, catering to lowbrow audiences. These people do not trade crypto, nor do they care about any market narratives. They crossed over to this platform just to scrape together that tiny creator payout, as they have little footing in real life. Consequently, we saw the worst tropes from mainland domestic social media spill over: gender polarization, disinformation, and bootlicking culture. While you tweaked the algorithm to curb plagiarism, the platform still fails to incentivize high-quality content. Plenty of boundaryless content farms still rack up views, and accounts that harass others relentlessly often evade effective reporting penalties. Meanwhile, posts from creators I used to follow have vanished from my timeline. I kindly request that you strictly investigate accounts that distribute other users’ private information without consent.

The Moral Collapse of the Chinese Crypto Community To Elon Musk @elonmusk 2022–2023 marked the golden age of Chinese-language Twitter. Back then, there was no creator revenue you offered purely based on traffic. Two main groups of creators came here to share insights: Influencers who migrated over with their followers after their Weibo accounts were banned. Content creators who were already living overseas. These people came with genuine intent to share, and they often uncovered valuable market alpha. Whether it was Bay Area Spaces, inscription research bloggers, or spot and secondary market analysts. Back then, everyone believed the next bull run would be bright. People expected their altcoin spot holdings would deliver at least 5–10x returns. After all, A16Z poured capital into projects left and right, and every so often, stories popped up of Gen Z traders hitting A8 and retiring financially free. Then the tide turned. High-cap tokens pumped immediately upon launch. Instead of bringing fresh liquidity into the market, the ETF event drained what little liquidity remained, driven largely by Trump-related narratives. The crash on October 11 was almost inevitable. Long before that, many had already lost everything on altcoins. That black-swan event merely liquidated whatever leveraged contract positions were left. Starting around 2024–2025, after X rolled out creator ad revenue, a flood of traffic chasers emerged, catering to lowbrow audiences. These people do not trade crypto, nor do they care about any market narratives. They crossed over to this platform just to scrape together that tiny creator payout, as they have little footing in real life. Consequently, we saw the worst tropes from mainland domestic social media spill over: gender polarization, disinformation, and bootlicking culture. While you tweaked the algorithm to curb plagiarism, the platform still fails to incentivize high-quality content. Plenty of boundaryless content farms still rack up views, and accounts that harass others relentlessly often evade effective reporting penalties. Meanwhile, posts from creators I used to follow have vanished from my timeline. I kindly request that you strictly investigate accounts that distribute other users’ private information without consent.

Claude Opus 5.5 just cooked a 20-person motion studio... these are the 20 skills I actually use with Opus 5.5 for video, design, 3D, motion and gamedev. 770K+ github stars between them: VIDEO ┣ hyperframes · write HTML, get a video (81K★) ┃ ┗ ┣ openmontage · full agentic video studio, 12 pipelines (79K★) ┃ ┗ ┣ video-shotcraft · cinematic product promos (18K★) ┃ ┗ ┗ remotion skills · the official one, videos in react (6.7K★) ┗ DESIGN ┣ anthropic skills · frontend-design, canvas, algorithmic art (190K★) ┃ ┗ ┣ impeccable · /polish /bolder /critique, kills AI slop (107K★) ┃ ┗ ┣ open-design · open-source AI design workspace (107K★) ┃ ┗ ┗ hallmark · design that refuses to look AI-made (51K★) ┗ 3D ┣ blender mcp · claude drives blender, whole scenes (34K★) ┃ ┗ ┣ anatomy · any idea as a real working 3D object (26K★) ┃ ┗ ┣ unity mcp · claude runs the unity editor (16K★) ┃ ┗ ┗ blender-skills · 94 skills, blockout → export (2.3K★) ┗ MOTION ┣ gsap skills · official easing, timelines, scroll (18K★) ┃ ┗ ┣ anything2explainer · topic in, narrated explainer out (3.2K★) ┃ ┗ ┣ oil-motion · animation that follows scroll + mouse (2.9K★) ┃ ┗ ┗ herk edit kit · cut dead air, edit reels + shorts (2.7K★) ┗ GAMES ┣ universal-modder · mod any PC game you own (9.5K★) ┃ ┗ ┣ gamedev skills · 77 skills, godot to three.js (7.9K★) ┃ ┗ ┣ pixelfx · 244 pixel effects in code (6.2K★) ┃ ┗ ┗ sprite-gen · game sprites + animation atlases (3.9K★) ┗ all open source. the 3D scene on each card is mine, fully rendered in blender for that skill