DeepSeek R1: Blind the open source breakthrough of the next era of Defai

Article Author: Daniele

Article compilation: block unicorn

Artificial intelligence is developing rapidly. Large language models (LLM) are empowering various applications such as multi -step transaction automation such as dialogue assistants to DEFI (decentralized finance). However, the cost and complexity of deployment of these models is still a significant obstacle. The emergence of DeepSeek R1, as a new open source AI model, promises to provide strong reasoning capabilities at lower cost -paving the way for millions of new users and use cases.

In this article, we will discuss:

1. DeepSeek R1 brings in open source AI reasoning.
2. Low -cost reasoning and flexible permits can be used wider to adopt.
3. Why the Jevenus paradox indicates that the amount (and cost) may actually increase with the improvement of efficiency, but it is still net income for AI developers.
4. How does Defai benefit from the increasing popularity of AI in financial applications

1. DEEPSEEK R1: Resend open source AI

DeepSeek R1 is a newly released LLM. After a large number of text corpus training, it optimizes reasoning and context understanding. Its outstanding characteristics include:

• Efficient architecture

DeepSeek R1 uses the next generation of parameter structure to provide the most advanced performance in complex reasoning tasks without relying on the huge GPU cluster.

• Lower hardware requirements

DeepSeek R1 design can run on less GPUs or the high -end CPU cluster, which reduces the threshold for startups, personal developers and open source communities.

• Open source permit

Unlike many proprietary models, the loose license system of DeepSeek R1 allows enterprises to directly integrate them into products, thereby promoting rapid adoption, plug -in development and specialized fine -tuning.

This transformation to access AI is similar to the early open source projects of Linux, Apache or MySQL -these projects eventually promoted the index growth of the technical ecosystem.

2. Reduce cost AI: Promote Widely Adopting

2.1 Acceleration adoption

When a high -quality AI model can run at a affordable price:

1. SMEs can deploy AI -drive solutions without relying on expensive professional services.

2. Developers can be free to perform experiments -from chat robots to automation research assistants, don't worry about exceeding the budget.

3. Global growth: Enterprises in emerging markets can more easily introduce AI solutions to bring about the gap between finance, medical care, education and other industries.

2.2 Democratic reasoning

The cost of reducing reasoning not only promotes the use, but also promotes the democratization of reasoning :

• Localization model: Small communities can train DeepSeek R1 based on corpus in specific languages ​​or specific fields (e.g., professional medicine or legal data).

• Modular plug -in: Developers and independent researchers can build high -level plug -ins (for example, code analysis, supply chain optimization, or chain transaction verification), and do not need to be limited by permit bottlenecks.

Overall, cost saving has promoted more experiments , thereby accelerating the innovation of the entire AI ecosystem.

3. Jevez Paradox: The higher the efficiency, the more consumption

3.1 What is Jevez Paradox?

Jevez 's paradox pointed out that the increase in efficiency often leads to an increase in resource consumption (rather than decrease). The paradox was originally observed in the context of coal use. It means that when a process becomes cheaper or easier, people often use it to offset (sometimes even exceeds) efficiency improvement brings brings by the efficiency improvement. Save.

In the background of Deepseek R1 :

• Low -cost model: Reduce hardware overhead and make AI run cheaper.

• Results: More companies, researchers and amateur enthusiasts launched AI instances.

• Ending: Although the operating cost of each instance is lower, due to the influx of new users, the total calculation usage (and cost) may increase .

3.2 Is this bad news?

uncertain. The overall usage rate of AI models such as Deepseek R1 shows that the successful adoption and application surge. This is promoted:

1. Ecosystem growth: More developers optimize new functions, repair bugs, and improve the performance of open source code.

2. Hardware innovation: GPU, CPU, and special AI chip manufacturers meet the demand for continuous soaring and compete in terms of price and efficiency.

3. Business opportunities: Builders in the fields of analysis, pipeline arrangement or professional data pre -processing can profit from the prosperity used by AI.

Therefore, although Jevinus's paradox shows that the cost of infrastructure may rise, this is a positive signal for the AI ​​industry , which promotes the innovation environment and stimulates breakthroughs in cost -effective deployment (for example, advanced compression or compression or compression or compression may Uninstall the task to a special chip).

4. The impact on DEFAI

4.1 DEFAI: The fusion of artificial intelligence and DEFI

Defai combines decentralized finance (DEFI) and AI -driven automation, enabling agents to manage the assets on the chain, perform multiple steps transactions and interact with the DEFI protocol. This emerging field is directly beneficial to open source, low cost AI, as follows:

1. All -weather automation

The agent can continuously scan the DEFI market, and the cross -chain bridge will be connected and re -balanced the position. Reducing the cost of AI reasoning has made these agents running all over the weather a feasible choice.

2. Infinite scalability

If thousands of DeFAI agents need to provide services to different users or protocols at the same time, low -cost models such as Deepseek R1 can remain within the controllable range.

3. Customized

Developers can fine -tune the open source AI based on DEFI -specific data (such as price information, chain analysis, governance forums, etc.) without having to bear high license fees.

4.2 More AI agents, more financial automation

As Deepseek R1 reduces the threshold of AI, Defai sees a positive feedback loop :

1. Acting explosive growth: developers create specialized robots (for example, income hunting, liquidity provision, NFT transactions, cross -chain arbitrage).

2. Improvement: Optimizing the capital flow of each agent may promote the overall increase of DEFI activities and liquidity.

3. Industry growth: More and more complex DEFI products appear, from high -end derivatives to conditional payment, all these are arranged by AI available at any time.

The final result: The entire DEFAI field benefits from a virtuous cycle -users adopt the complexity of the agent to promote each other.

5. Outlook: a good signal of AI developers

5.1 A booming open source community

With the open source of Deepseek R1 , the community can:

• Quickly repair the bug ,

• Proposal for reasoning optimization ,

• Create branches in specific areas (such as finance, law, medical care, etc.).

Collaborative development has brought continuous improvement of models and spawned ecosystem tools (such as fine -tuning frameworks, model service infrastructure, etc.).

5.2 New profit path

AI developers, especially in the DEFAI field, can exceed the standard to call the paid model according to the API to innovate:

1. Tortoic AI example: Provide an enterprise -level DeepSeek R1 custody service and equipped with a user -friendly instrument board.

2. Service layer: Integrate advanced functions (such as compliance inspection or real -time intelligence) above the open source model to provide services for DEFI operators.

3. Acting market: Provide a dedicated proxy configuration file. Each agent has unique strategies or risk configurations. Users can obtain it through subscriptions or performance costs.

When the underlying AI technology can expand to millions of concurrent users without allowing providers to go bankrupt, this business model will flourish.

5.3 Reduce entry threshold = greater talent pool

As Deepseek R1 decreases hardware requirements, more developers around the world can try AI.

The influx of this diversified talent :

• Stimulated creative solutions for the real world and crypto -specific challenges,

• Use new ideas and improve enrich open source communities,

• Unlocked the global population group that had been excluded due to high computing costs.

in conclusion

The arrival of DeepSeek R1 marks a key change: open source AI no longer requires high calculations or may be fees. By providing strong reasoning capabilities with lower costs, it has paved the road more widely, and it can benefit from small -scale development teams to large enterprises. Although Jevez 's paradox shows that the cost of infrastructure may increase due to surge in demand, this phenomenon is ultimately favorable to the AI ​​ecosystem -it promotes hardware innovation, community contribution, and the development of the next generation of applications.

In the field of DEFAI , AI agents coordinate financial business on decentralized networks, and their affected effects are huge. Small overhead means more complicated agents, higher access, and expanding chain strategies. From income aggregates to risk management, these advanced AI solutions can continue to operate, opening up new ways for the adoption of cryptocurrencies and innovation.

In the end, Deepseek R1 showed how open source progress promoted the development of the entire industry -including AI and Defi . We are standing at the forefront of the future. AI is no longer just a small number of privileges, but the basic elements of daily finance, creativity and global decision -decision -all this is due to open source models, economic and efficient infrastructure and irresistible blocking The synergy of community power.

Are you ready to explore more? Please continue to pay attention to the development progress of DeepSeek R1, open source cooperation opportunities, and the dynamics of the Defai platform -we will jointly build a future more inclusive, smarter, and more powerful artificial intelligence future.