Ray

@McClellanOsc Interesting!

This is a chart I shared this week in my Daily Edition, noting once again that dates of full moons tend to mark turning points or acceleration points for gold prices. I once tried years ago to disprove this point, and I failed. It is real. But figuring out in advance exactly how a future full moon will manifest this behavior is something I have not figured out how to do.

Leaders with no respect except…👀 (The Starbuck’s salute is downright disgusting)

🚨 BOOM! Based Asian man drops red pill on "No Kings" communists! "People say socialism needs to come to America" MAN: If they don't like it, go to a socialist country! Q: Why won't they go? MAN: They like the freedom and CONTRADICT themselves! 🤣🔥

@whyyoutouzhele 自欺欺人

鲁比奥不是卢比奥 3月16日，外交部记者会上，有记者提问中方对美国国务卿鲁比奥的制裁是否影响其随特朗普访华。 发言人表示，中方的制裁针对的是担任联邦参议院期间的的卢比奥的言行，而非担任国务卿的鲁比奥。

BREAKING: CCP security guard at LA Chinese consulate just arrested for pepper-spraying protesters. Their crime? Calling out Beijing’s support for Maduro. China’s thugs don’t like free speech even on U.S. soil. Lock him up.

A Chinese tourist in Nara Park reportedly kicked a protected deer. Many want him arrested.

🇨🇳 In China, a man using public transportation refuses to move his leg for a female worker who's trying to simply push a food cart through the aisle. This is a common problem in China where people seem to think being thoughtful to others is a sign of weakness.

This is how a Chinese teacher treats his students. This is not a rare incident, it is common in schools there，but it is rare that a student took the video and uploaded it.

A Chinese man kicked a deer in Nara Park, where deer are considered sacred messengers. This disrespect for local culture is unacceptable. 🦌😡

🇯🇵🇨🇳 In Japan, a Chinese woman verbally abuses a Japanese taxi driver and has a freak out. A man tries to stop her but can't seem to get her under control either.

@formosanafro 中國人好麻煩，到處破壞。

中國人沒有什麼教養，看看小粉紅在推特寫什麼就知道：罵來罵去，騷擾台灣女生，揚言殺死痛批習近平的人 中國人就是世界最大的小孩子，若沒拿想要的東西就會大哭，暴跳如雷，而且要求大家快點去挖中國眼淚，可憐 台灣永不屬於中國領土，幹嘛還自欺欺？

In Haneda International Airport of Japan, a Chinese woman was loudly scolding a Taiwanese traveler, telling him “Taiwan belongs to China... before you travel abroad, you need to have a clear understanding of politics first...” After police arrived, the Taiwanese traveller explained the situation to the police using Japanese language, then the Chinese woman told him：“You need to speak human language”... MANY Chinese now feel that they are the rulers of human kind, and the whole world must obey them. Taiwannese, Japanese and other people are just their slaves.

The bamboo scaffolding still stands, just FYI of those who blame it.

The “bamboo scaffolding caused the fire” narrative is not only factually wrong, it reflects a prejudice against in-situ craft and HK's own construction traditions. The fire started with the netting. The bamboo is still intact. We deserve better reporting. @BBCWorld

Reddit post states: "Government-funded 'Care Teams' busy taking photographs of themselves while actual volunteers do all the work of organising supplies at Tai Po after the fire" reddit.com/r/HongKong/com… Video: @Annoygrass via Threads.

(1/3) Regarding the Hong Kong fire: CNN quoted PolyU’s Prof. Huang saying bamboo is flammable, implying the bamboo scaffold was the main driver. But multiple clips show the netting and wrap igniting, not the scaffold; most bamboo poles remained intact.

@bboczeng 李家超也只是一個奴才。

李家超多年怠政，懒政，香港原本运行的民主政治被国家安全和铺天盖地的意识形态宣传所取代 想不到这么做，真的会有报应？ 香港人的心应该都已经死了 为死难者默哀 从我小时候记事起，香港就没发生过这么大的火灾，这次去包括失踪人数，死亡恐怕得有上百人 从小我就想去香港，我就知道香港的文具质量最好；巧克力、梅子糖最好吃 可惜我从来没去过，疫情之后也去不了 以后也不会再去了 李家超先生 您赶紧下台吧😅😅😅

Google just dropped "Attention is all you need (V2)" This paper could solve AI's biggest problem: Catastrophic forgetting. When AI models learn something new, they tend to forget what they previously learned. Humans don't work this way, and now Google Research has a solution. Nested Learning. This is a new machine learning paradigm that treats models as a system of interconnected optimization problems running at different speeds - just like how our brain processes information. Here's why this matters: LLMs don't learn from experiences; they remain limited to what they learned during training. They can't learn or improve over time without losing previous knowledge. Nested Learning changes this by viewing the model's architecture and training algorithm as the same thing - just different "levels" of optimization. The paper introduces Hope, a proof-of-concept architecture that demonstrates this approach: ↳ Hope outperforms modern recurrent models on language modeling tasks ↳ It handles long-context memory better than state-of-the-art models ↳ It achieves this through "continuum memory systems" that update at different frequencies This is similar to how our brain manages short-term and long-term memory simultaneously. We might finally be closing the gap between AI and the human brain's ability to continually learn. I've shared link to the paper in the next tweet!

@denisewu So true. Happy to hear that.

China rarely has a policy that China, Taiwan, and Japan all support. 🇨🇳 - no more 🇨🇳 tourist, that’ll show them! 🇹🇼- booked my flight and hotel for Japan in December. 🇯🇵 - wow, can’t believe it’s to easy to get rid of poorly behaved Chinese tourists.

@GordonGChang fool me once, shame on you

China is not buying American soybeans in the promised quantities.