🔥 The AI agent track is exploding, with DeepSeek and Mistral AI rapidly evolving, while the AI in the crypto industry is still stuck in the 'watching prices' stage?

💡 The founder of Slow Mist, Yu Xian, questioned whether the development of AI in the crypto field is lagging far behind, lacking technological innovation and merely focusing on token prices. Can the industry truly break out?

Today, let's delve into: Is AI + Crypto really a false proposition? How far can AI in the crypto industry go?

📊 1. The AI agent track is surging, while crypto is still standing still?

📌 In the past two months, the development of AI agents in non-crypto fields has advanced rapidly, with new models like Mistral AI and DeepSeek V3 being launched one after another, significantly enhancing AI's intelligence level.

Meanwhile, what about AI projects in the crypto industry? They are still revolving around token price prediction and trading strategy optimization, without any truly groundbreaking technological applications.

✅ 1. Progress of AI agents in non-crypto fields.

• DeepSeek V3: Supports long text understanding and code generation, significantly enhancing AI comprehension capabilities.

• Mistral AI: Launched the Mixtral model, comparable to GPT-4, with lower costs and higher performance in AI reasoning capabilities.

• AutoGPT, BabyAGI: AI agents can autonomously execute tasks, starting to truly enter the productivity tools stage.

📢 In other words, the AI field has entered the stage of being able to 'get things done,' while crypto AI remains stuck in speculation and hype.

✅ 2. Is crypto AI still revolving around token prices?

• Most AI + Crypto projects are still 'pseudo-AI' concepts, remaining in the stages of assisting trading and data analysis.

• Project teams are more focused on whether the 'AI concept can attract funding' rather than whether the technology is truly grounded.

• Currently, crypto AI mainly includes the following categories:

1. AI trading robots (like Fetch.ai)—used for quantitative trading, but essentially automated strategies, not AI learning independently.

2. AI-generated content (like Alethea AI)—used for NFT generation, still in the early stages.

3. Decentralized AI computing (like Bittensor)—attempting to establish a decentralized AI training network, but still facing technical bottlenecks.

📢 Compared to technological breakthroughs in the AI field, crypto AI still seems more like 'concept-driven' and has not truly achieved substantial technological innovation.

🔥 2. Can crypto AI really break out?

📌 A characteristic of the crypto industry has always been: the ability to tokenize any concept and attract funding, but ultimately, very few projects can be realized.

So, does crypto AI really have value? Or is it just another new round of hype?

✅ 1. Possible breakthrough points: The combination of AI + Web3.

If AI is to find real applications in the crypto field, it must at least meet two conditions:

1. Using Web3 transparency to solve the black box problem of AI algorithms (like decentralized AI training).

2. Empowering the crypto ecosystem with AI, rather than just creating a trading robot (like AI-generated NFTs, automatic smart contract generation, etc.).

📢 For now, crypto AI is still in the early stages, but in the long run, decentralized AI computing and on-chain AI applications may be breakthrough points.

✅ 2. Why is crypto AI still not favored right now?

• The capital market still has doubts about 'AI + Crypto,' believing that Web3 AI currently lacks the ability for practical grounding.

• Most current AI computing still relies on centralized computing power, and crypto AI projects want to decentralize but face high computing costs.

• The development of AI mainly relies on large models, while the crypto field currently lacks truly leading technical teams like OpenAI and Anthropic.

📢 In other words, crypto AI currently seems more like a 'Web3 project riding the AI concept' rather than a technological innovator in the AI industry.

⚡ 3. How can the crypto industry escape the trap of 'hype around AI'?

📌 Most of the current Web3 AI is still in the 'concept hype' stage, lacking real technological breakthroughs and commercial grounding.

If crypto really wants to make an impact in the AI field, it needs to overcome the following misconceptions:

✅ 1. AI is not a token and cannot rely on issuing coins to pile up concepts.

• Many crypto AI projects are essentially creating a token and then finding some AI-related concept to package it, attracting funding.

• Real AI development requires vast data training and computation resources, which Web3 currently cannot effectively support.

📢 If AI + Web3 is merely a tokenized concept rather than a technological fusion, it is doomed to be short-term speculation rather than long-term value.

✅ 2. Real AI needs practical applications, not just conceptual packaging.

• Currently, the areas in Web3 AI that truly have application prospects may include:

1. Decentralized AI computing (like Bittensor)—if AI computing tasks can be decentralized, it may indeed form a new computing economic model.

2. On-chain AI contract automation—if AI can automatically execute smart contracts and optimize DeFi strategies, it could bring about a new financial revolution.

3. AI-generated NFTs, content creation—if AI integrates with NFTs and on-chain identity to create new digital asset models, it could change the NFT market.

📢 Only when AI truly finds application scenarios in the crypto field, rather than wrapping concepts with tokens, can it break out.

📢 Conclusion: Crypto AI is currently still a concept, and technological grounding is key!

🎯 1. The development of AI far exceeds that of crypto; real breakthroughs in AI technology are happening in non-Web3 fields like DeepSeek and Mistral AI, rather than in the AI tokens of the crypto space.

🎯 2. Currently, crypto AI is still revolving around token price hype, lacking true technological grounding and business models.

🎯 3. The truly promising crypto AI tracks are decentralized AI computing and on-chain AI contracts, but these fields are still in their infancy.

🎯 4. If crypto cannot find real application scenarios for AI, then AI + Crypto is just another round of 'money-making concepts' that cannot bring real value.

📢 What do you think? Can AI + Crypto really become the next big track?

🔥 Do you think AI in the crypto field really has potential, or is it just another round of conceptual hype?

💬 If you were to invest in crypto AI, what projects would you focus on? Feel free to discuss!

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