After DeepSeek announced that it had created a Chatgpt version, both the stock market and the Crypto market hit. More importantly, the models were free and open source, challenging the AI provider.
With the cost -efficient expert (MOE) architecture, China -based AI model Deepseek may keep AI leadership from the United States. In the short term, investors’ fears have definitely promoted volatility, reflecting concerns about potential turmoil on AI -based financial services by 10 %. Dr. Ben Goertzel, a CEO of SingularityNet and a co -founder of artificial Superintelligence Alliance, commented: 。 This is not really reasonable because DeepSeek is an advantage for distributed AI when emphasizing the centment -led encryption market.
If DeepSeek’s low -cost model is sustainable, it may change the dynamics of the method of integrating AI into a cipher, but does low cost always mean long -term efficiency? Well, as listed by Alex Waky, one of the cryptocounter researchers, there are some suspicions that Crypto and AI agents can benefit specifically.
AI cost efficiency
The AI sector is expensive, and a large language model (LLM) requires billions of investment and calculation resources. This high cost was limited to major high -tech companies with traditional AI development, capital and infrastructure.
However, DeepSeek confuses this situation in a new way of more expensive training models. Unlike the conventional AI model that activates all parameters of all inputs, Deepseek’s MOE is selectively related to different tasks, making it much more efficient. Cost is reduced. As a result, DeepSeek not only challenged existing AI providers, but also exceeded the LLAMA 3.1 405B and GPT-4O with major benchmarks, especially coding and mathematics tasks.
The Crypto project focuses on AI that handles model training and uses Chatgpt is integrated into the platform.
Therefore, if it is proven that the cost efficiency of Deepseek is sustained, the financial burden on the AI -equipped Crypto application is greatly reduced, distributed AI service, ONCHAIN INTELLIGENCE, and AI -enhanced Defi tools are more efficient. I will be able to scaling to.
At first, many investors began to guess the need for AI infrastructure, and NVIDIA’s stock prices have plunged. However, AI researchers pointed out Jevon’s paradox. This states that improving efficiency will lead to an increase in demand. In other words, AI innovation is low in infrastructure costs and accuses investors’ interests.
Deepseek open source AI spotlight
Open source concepts are not different for those who are cipher, which is a core principle of decentralization and transparency. However, the fact that some of the largest models have been released in the space is surprising. This reduces the barrier to the entry of the AI -driven encryption application without relying on the concentrated provider.
But accessibility is risky. It is unknown whether this can cause cyber security threats. Due to DeepFake, automated phishing scams, these bad actors have accessed unprecedented tools for malicious activities that must adopt AI-Native’s defense to maintain the blockchain network. can.
However, the main voices of AI and Crypto, such as the Artificial Super Intelligence Alliance (ASI), have different stances. Instead of regarding DeepSeek as a security risk, the ASI regards it as “one step to democratize the AI in the encryption sector.” Despite being a more positive approach, it emphasizes important philosophical gaps in AI and encryption sector.
The AI sector is not the same
FOMO and capital movements are always closely related to important market news, and DeepSeek’s announcement was no exception. In the first panic, the AI -related cryptographic projects have declined, reflecting concerns about the confusion of AI -drive financial services. However, the market reaction seems to be stable, and there are several major AI encryption projects, such as the recovery of Bittensor and ICP.
Deepseek has definitely made AI topics a hottest topic in conversation, but the long -term impact on the encryption sector remains uncertain. Cost efficiency and open source models may accelerate the adoption of AI in Defi, blockchain security, and on -fin intelligence. However, the balance between accessibility, diversification, and security risk is ultimately determined whether DeepSeek is an innovation catalyst or an existing AI integrated encryption ecosystem.