DeepSeek popularity Revelation: How does AI make DEFI go to the mainstream

Editor 's note:

Today, the rapid development of AI technology, let everyone believe whether web3 can benefit from AI is no longer a problem. The real focus is: which web3 track can grasp AI's dividends as soon as possible, and how to maximize the use of AI to achieve breakthroughs - — Decentralization Finance (DEFI) is undoubtedly one of the most potential areas, and the intersection of the two -DEFAI (DEFI+AI) is becoming one of the fastest growing tracks in the encrypted economy.

The essence of Defai is to make AI a "autonomous driver instrument" in the chain. The complexity of the current DEFI has always been the threshold for ordinary users to enter, and DEFAI is expected to simplify the user experience through AI to attract more mainstream users Data on the chain can also help you complete complex strategies such as cross -chain arbitrage, dynamic pledge, and Lightning loan combination . Even through DAO governance participation agreement upgrade, it is like search engine so that ordinary people can access the Internet without understanding the TCP protocol. A small white user has the asset management capabilities of hedge funds.

At present, some DEFAI projects have emerged. The author of this article Daniele is the founder of the Defai head project Hey Anon ($ Anon). As a well -known Defi developer, he has led the algorithm stable currency Wonderland, decentralized borrowing Abracadabramone and Dexwagmi. Development. Today, HEY Anon, who he founded, is a DEFI automation tool that focuses on AI -driven. The TypeScript solution is integrated into the DEFI protocol to enable the agent to interact in the unprecedented security and simple management chain . The market value ranks third among the CoinMarketcap Defai sector.

Daniele has been inspired by DeepSeekr1's breakthrough in open source AI reasoning, and explores how DEFI has benefited from AI technology. I believe that everyone will definitely get some new feelings from his opinions.

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Artificial intelligence is accelerating development. Large language models (LLMS) are empowering various fields such as dialogue assistants to DEFI multi -step trading automation. However, the cost and complexity of large -scale deployment of these models is still a major obstacle. The new open source AI model of DeepSeek R1 came into being, and it provides strong reasoning capabilities at a lower cost -paving the road for millions of new users and application scenarios.

This article will explore:

• Deepseek R1 's breakthrough in open source AI reasoning
• How to promote low -cost reasoning and flexible permits
• Why does the Jevez Paradox indicate that the improvement of efficiency may be pushed up and uses the amount (and cost) -but it is still nettown in AI developers
• How to benefit from the popularity of AI in financial applications

Part.1 Deepseek R1: Rebcing open source AI

Deepseek R1 is a new type of LLM based on extensive text training, which is specially optimized for reasoning and context . Its prominent features include:

• High -efficiency architecture: Adopt a new generation of parameter structures, without a large GPU cluster , you can achieve closer top performance in complex reasoning tasks.

• Low hardware requirements: Design supports a small amount of GPU or even high -end CPU clusters to reduce the use of use of start -ups, independent developers and open source communities.

• Open source license: Unlike most proprietary models, its loose license allows enterprises to integrate directly into products -promoting rapid adoption, plug -in development and professional fine -tuning.

This trend of AI democracy is reminiscent of the early stages of open source projects such as Linux, Apache, and MySQL -it is precisely these projects that eventually promote the exponential growth of the scientific and technological ecology.

PART.2 low -cost AI value proposition

Accelerate

When high -quality AI models realize economic operation:

• SMEs: AI solutions can be deployed without relying on expensive services.

• Developers: free test -from chat robots to automation research assistants, and achieve innovation iterative iteration within the budget.

• Geographical diversified development : Emerging market companies can seamlessly access the AI ​​solution and improve the digital gaps in the financial, medical, education and other industries.

Reasonable democratization

Low -cost reasoning not only promote use, but also achieve democratic reasoning:

• Localization model : Small communities can train DeepSeek R1 in a small or domain coriander (such as professional medical/legal data).
• Modular expansion : Developers and independent researchers can build advanced plug -in (such as code analysis, supply chain optimization, chain transaction verification), and break through the permit bottleneck.

Overall, cost savings have spawned more experiments, thereby accelerating the overall innovation of the AI ​​ecosystem.

Part.3 **Jevez Paradox: Why does efficiency improve push

consumption**

What is Jevez Paradox?

The theory pointed out that the improvement of efficiency often leads to increased resource consumption rather than decrease . It was initially discovered in the use of coal use scenarios, which means that when the process becomes more economical, people tend to expand the scale of use and offset (sometimes exceed) efficiency income.

In the context of Deepseek R1:

• Low -cost model : Reduce hardware demand and make AI run more economical.

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

• Effect : Although the cost of single -iliac operating costs has decreased, the total surge may increase the overall computing power consumption (and cost).

Is this Likong?

not necessarily. The extensive use of models such as DeepSeek R1 marks successful popularization and surge in application, which will promote:

• Ecological prosperity : More developers improve the function of open source code, repair vulnerabilities, and optimize performance.

• Hardware innovation : GPU, CPU, and special AI chip manufacturers respond to surge in demand to compete in terms of price and energy efficiency.

• Business opportunities : Analysis tools, process arrangement, professional data pre -processing and other fields will benefit from the AI ​​use boom.

Therefore, although the Jevez Paradox hints that the cost of infrastructure may rise, it is an active signal for the AI ​​industry as a whole -to promote the development of innovative environment and give birth to economic deployment breakthroughs (such as advanced compression technology or task uninstalling to dedicated chips).

PART.4 ' s effect on DEFAI

DEFAI: When AI encounters DEFI

DEFAI combines decentralized finance with AI automation, enabling the intelligence to manage the assets on the chain, execute multi -step transactions, and interact with DEFI protocol. This emerging field is directly beneficial to open source and low cost AI, because::

• All -weather autonomy

Smart can continuously scan the DEFI market, assets between bridge connection and adjusting positions. The cost of low reasoning enables the operation of 24/7 to have financial feasibility.

• Unlimited expansion

When thousands of DEFAI intelligence needs to serve different users or protocols at the same time, low -cost models such as Deepseek R1 can control operating expenses.

• Customized

Developers can fine -tune the open source AI with DEFI -specific data (price feedback, chain analysis, governance forum), without paying high license fees.

More AI intelligence, stronger financial automation

As Deepseek R1 decreases the AI ​​threshold, Defai forms a positive cycle:

• Smart explosion : developers create professional robots (such as income hunting, liquidity supply, NFT transactions, cross -chain arbitrage)

• Improve efficiency : Each smart body optimizes the capital flow, which may improve the overall activity and liquidity of DEFI

• Industry growth : The emergence of more complicated DEFI products, from high -end derivatives to conditional payment, all of which are coordinated by easy to obtain AI

The final result --- The entire DEFAI field benefits from the virtuous circle of " user growth-smart evolution ".

Part.5 Outlook: A positive signal of AI developers

Rich open source community

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

• Quickly repair the vulnerability
• Proposal for reasoning optimization scheme
• Create a fork (such as finance, law, medical treatment)

Collaborative development brings continuous model improvements, and it will give birth to ecological tools (fine -tuning framework, model service infrastructure, etc.)

New profit path

AI developers in DEFAI and other fields can break through the traditional API calling charging mode :

• Trusted AI example : Provide enterprise -level Deepseek R1 custody services, equipped with friendly instrument panel

• Service layer construction : On the basis of open source models, high -level functions such as integrated compliance review and real -time intelligence for DEFI operators

• Smart Market : Smart archives with unique strategies or risk configurations, providing subscriptions or performance sharing services

When the underlying AI technology can expand to a million -level concurrent users without led to the bankruptcy of the supplier, such business models will flourish.

Low threshold = talent pool expansion

As the demand of Deepseek R1 decreases, more developers around the world can participate in AI experiments. This kind of talent influx:

• Innovative solutions to solve problems in the real world and encryption fields;

• With fresh creativity and improvement of enriched open source communities;

• Release global talents that have been rejected by high computing costs.

Conclusion

The emergence of DeepSeek R1 marks a key turning point: open source AI no longer requires expensive computing power or may be fees . Provide strong reasoning capabilities through low cost, which pave the way for wide development teams to large enterprises. Although the Jevez Paradox hints that the cost of infrastructure may rise due to surge in demand, this phenomenon ultimately favors the AI ​​ecosystem -driving hardware innovation, community contribution, and advanced application development.

For DEFAI, the AI ​​intelligence that coordinates financial operations on decentralized networks will have a major ripple effect. Low costs means more complicated intelligence, stronger accessibility, and continuously expanding chain strategy arrays . From income polymer to risk management, these advanced AI solutions can continue to run, opening up new paths for encryption and innovation.

DeepSeek R1 proves how open source progress catalyzes the entire industry -AI and DEFI. We are standing in the future threshold: AI is no longer a tool for minority privileges, but will become the basic elements of daily finance, creativity and global decision -it -from open models, economy infrastructure, and unstoppable community kinetic energy joint drive joint drive Essence

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