KK.aWSB
Co Founder @ CarbonSilicon AI | AI Quant Trading in Palo Alto | 加密投研 | 美股 | 科技 | 政治经济学 | 用趣闻对冲无聊世界。
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Decoding Zhipu AI's Internal Letter: The Great Wave Has Arrived, Prioritizing Research Over Monetization After Listing, Betting on the Most 'Money-Burning' AGI Lonely Path
The internal letter 'The Great Wave Has Arrived' issued by Zhipu AI founder Tang Jie against the backdrop of the company's stock price volatility and the lifting of restricted shares. The article points out that Zhipu AI did not rush to monetize after listing, but chose to continue betting on four major cash-burning directions: long-range tasks, autonomous agents, self-training, and safety governance.
KK.aWSB
The nine strategy schools of quantitative trading, which ones can ordinary people + AI easily handle?
A traffic light guide to the nine schools of quantitative trading. With AI, ordinary people can easily master momentum and mean reversion, avoid the pitfalls of high-frequency trading, and pick the right track to truly make money.
KK.aWSB
Is stock trading along the AI main line still 'easy mode'?
In 2026, AI stock investing shifts from easy mode to hard mode. Blindly buying Nvidia no longer works. Three signals reveal the market has changed—how can ordinary investors survive in this new environment? This article avoids jargon, explaining principles and strategies in plain language.
KK.aWSB
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