Two things happened the year I left HK in 1973. 1) HK stock market crashed: Hang Seng Index went from 1,775 points on March 9 1973 to 150 points on Dec 10 1973. 2) Bruce Lee died on actress Betty Ting’s bed on July 20 1973.
Is DeepSeek about to change the future of artificial intelligence? In this video, we explore how DeepSeek may have found a breakthrough solution to one of AI’s biggest and most expensive challenges. From dramatically reducing training costs to improving efficiency and making advanced AI more accessible, this development could reshape the global AI race.
We’ll break down what DeepSeek has achieved, why it matters, how it compares with OpenAI, Anthropic, Google, and Meta, and what this could mean for the future of AI companies, investors, and everyday users.
If DeepSeek’s approach proves successful at scale, it could mark one of the most important turning points in the AI industry.
In this video: • DeepSeek’s latest breakthrough explained
The billion-dollar AI problem it aims to solve
How it compares with leading AI companies
What this means for the future of AI development
The potential impact on businesses, developers, and investors
English Video: China Just POPPED The US AI Bubble! (China AI maybe 6 months behind but 90% Cheaper that won’t break your bank) Silicon Valley Panics. 影片有中英文字幕: 中國剛剛戳破了美國的AI泡沫!(中國AI或許落後6個月,但便宜90%,不會讓你破產)矽谷陷入恐慌
Silicon Valley has a multi-trillion dollar problem, and it’s not a lack of “safety”—it’s that they are being outcompeted by open source. Today, we react to the massive shift in the AI landscape as China’s new GLM 5.2 model matches the best American tech at a fraction of the cost.
While Washington tries to “regulate the math” with export controls, China is open-sourcing the future. We dive into the spectacular irony of the US embargoing its own companies, why figures like Kevin O’Leary are using “breakfast cereal” scare tactics to protect data center investments, and the undeniable economic reality: 80% of US small businesses are already choosing Chinese AI.
Is the US “beating” China, or are we just watching the walls of a digital monopoly crumble?
In this video:
The “Beating China” Delusion: Why “beating China” is a marketing slogan for monopoly pricing. The Fable 5 Irony: How US export controls created a perfect vacuum for Chinese models. Kevin O’Leary’s Scare Tactics: Exposing the financial interests behind the “China threat” narrative. Price-to-Performance Reality: Why Airbnb, Coinbase, and Notion are switching to Chinese AI. Elon’s $200 Budget: The unsustainable reality of the US AI business model. Which AI philosophy do you think wins in the long run? Enhancement or Replacement? Let me know in the comments.