@leslieloser_: Had the privilege of meeting @Zhm20220917, the best at AI transformation in Jiangsu, Zhejiang, and Shanghai, for a few hours. Became even more certain about the following --In the AI era, those closer to production who understand the industry will reap huge startup dividends; understanding AI and boundaries is 20%, understanding production and industry is 80% --Small teams refuse inno…
Summary
The article shares insights on entrepreneurial dividends in the AI era, emphasizing that understanding industry and production is more critical than mastering AI technology. Companies prioritize actual problem-solving capabilities over the models themselves.
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@ba_niu80557: Let's talk some hardcore practical knowledge while I have time this morning. What actually happens between signing a contract for an AI project and it finally running in production? I'll lay out the entire playbook. People in this field can copy it directly, and those not in it can still understand why 95% of enterprise AI pilots end up dead. First, let me say something counterintuitive to the point you might not believe...
This article discusses common reasons for the failure of enterprise AI projects from proof-of-concept to production deployment, highlighting key practices such as MLOps, early inspection of real data, and clear human-machine boundaries. It argues that project failures are often not due to model issues but due to neglect of the engineering implementation phase.
@LuoSays: Actually, this argument works the other way too: right now is exactly the best entrepreneurial opportunity for ordinary people. Here's why: 1. AI has completely demolished the technical barriers of any product. If you want to make something, you can do it with AI. You can easily clone any product you want, something that was very difficult in the past. 2. With the rise of v…
The author believes that AI has broken down technical barriers and lowered the entrepreneurial threshold, making now the best entrepreneurial opportunity for ordinary people. They can quickly realize product ideas and occupy niche markets through AI.
@XiaoJi0403: Why Bosses Are Embracing AI Now
Discussion on the reasons and trends behind business leaders' active embrace of AI.
@AYi_AInotes: This article hyped by Silicon Valley bigwigs thoroughly explains the next true moat of AI. Whether you are starting an AI project or using AI to run a one-person OPC company, this is a must-read!
Recommend an article highly regarded by Silicon Valley leaders, which delves into the next true moat of AI, offering important reference value for AI entrepreneurship or using AI to run a one-person OPC company.
@GoSailGlobal: He Jinchu@0xajc participated in a debate organized by Binance with @Nokikoooo on 'AI Era: One-Person Company vs. Team'. My core argument: AI allows one person to do more, but being able to do ≠ having an advantage. Because what everyone can do has the least advantage. Consensus is the least profitable, only non-consensus can make money…
This article discusses the pros and cons of one-person companies versus team companies in the AI era. The core argument is that while AI enhances personal capabilities, it reduces execution costs but not trust costs, giving team companies an advantage.