The Meme market seems to be facing a collapse, and the market's anxiety has begun to spread again. What's the reason? Lack of new narratives, the funds are smart, and all went to blue-chip NFTs.
For new anxieties, I saw several KOLs discussing AI on Twitter today. They believe that Crypto+AI may be the next narrative direction and the hope for the future. As someone who is engaged in related business, I will talk to you about this topic today. Let me talk about two of my own experiences first:
1. Last year, ChatGPT attracted widespread attention, and then a game called "Stanford Town" was launched on the market. In this virtual town Smallville, researchers used GPT-4 to drive 25 AI agents, which lived, worked, and socialized in the town, and exhibited complex behavior patterns, such as handling emergencies, waiting to use public facilities, and communicating with others. Although this research was not open source at the time, it is now open source. My friends and I also deployed this game locally and connected to GPT. After playing for less than five minutes, I found that I had paid more than ten yuan to OpenAI. After repeated checks and confirmations, we concluded that the cost of using AI is really not low.
2. This year, we transformed an AI computing power plant in a hydropower station in Yunnan. This used to be a Bitcoin mine, which was abandoned in 2018 for various reasons. This year we remodeled and enabled it, using Meta's Llama3. Our customers are big data companies, providing them with computing power support. Although it is self-owned computing power, the cost of use is still not low. Now it is the summer flood season, which is not bad. When the power supply is insufficient in the dry season after October, we have to find the local State Grid to negotiate to buy electricity, and the cost will be higher at that time.
Through the above two cases, I want to tell you that the cost of using AI is indeed very high. Of course, some friends will refute that it is not expensive or even free to use ChatGPT to chat, use text to generate pictures, pictures to generate videos, and create songs. Although these services are not expensive, they can only be limited to these simple services. The cost of complex services is still a big problem. This is why we saw a large number of so-called AI projects in the market last year. After all, they can't afford to develop them, and it is impossible for anyone to use them.
The combination of Crypto+AI certainly has the potential to create many innovative products, but the biggest problem at present is that the cost of AI calls is too high, which limits the possibility of large-scale application. In this regard, I think both VCs and project parties should be clear in their hearts.
For the AI+Crypto track, I think it may take until the next cycle or even later to truly achieve large-scale implementation. Before that, we need to solve two key problems: controlled nuclear fusion (low-cost electricity) and Asic chips specifically for AI (high efficiency and low energy consumption). This will be the basis for large-scale application of AI+Crypto.
At the end of the article, I will post an Easter egg, which may contain huge opportunities.
Controlled nuclear fusion may be a future that we in the currency circle cannot reach, and it is basically impossible. But in terms of Asic chips, we have the opportunity to see a breakthrough. At present, the strongest domestic company in the field of AI-specific Asic chip research and development should be Bitmain. That's right, it's the Bitmain that makes mining machines, and they have been doing it for many years. Isn't it a bit unexpected and a bit surprising? If there really comes a day, you can buy a little each and put it in our computing power factory for hosting, just like digging pie in the past.