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Home»DeFi»Is Deepseek a good or bad news for Crypto AI projects?
DeFi

Is Deepseek a good or bad news for Crypto AI projects?

February 3, 2025No Comments
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Poland – 2025/01/28: In this photo illustration, the Deepseek logo is displayed on a smartphone with … (+) Stock market percentages in the background. (Photo illustration by Omar Marques / Sopa Images / Lightrocket via Getty Images)

Sopa / Lightrocket images via Getty Images

The stock and cryptographic markets took a blow after Deepseek announced that they had created a version of Chatgpt, allegedly at a cost fraction – 5.8 million, against 17.9 billion. More importantly, the model was made free and open source, which questions the domination of AI providers.

With his profitable Mixture of experts (MOE) Architecture, the AI ​​model based in China Deepseek could remove leaders from the United States. In the short term, the fear of investors has definitively motivated volatility, as shown in the AI ​​parts sector down 10%, reflecting concerns about the potential disturbances of financial services based on AI. Dr. Ben Goertzel, CEO of singularitynet and co-founder of the artificial superintelligence Alliance comments: “Deepseek caused an accident in the actions of IA which overflowed to an accident in the Ai tokens, which you see in the Fet Prix But also Tao, RNDR, etc.

If the low cost model of Deepseek is durable, it could change the dynamics of the way AI is integrated into the crypto-but does the lower cost always mean long-term efficiency? Well, there are a certain number of undeniable angles where the crypto and the agents of the AI ​​in particular, will benefit, as indicated by one of the researchers of Crypto, Alex Wacy.

AI profitability

The AI ​​sector is notoriously expensive, with important language models (LLM) requiring billions of investment and calculation resources. This high cost has traditionally limited the development of AI to large technological companies with significant capital and infrastructure.

However, Deepseek disrupts this status quo with a new presumed model of model training which is more profitable. Unlike conventional AI models, which activate all the parameters for each entry, the Deepseek MOE selectively engages with different experts for different tasks, which makes it much more effective and reduces costs. Consequently, this allowed Deepseek to challenge not only existing AI providers, but also outperform llama 3.1 405b and GPT-4O in key references, in particular in coding and mathematics tasks, which is quite surprised .

Certain Crypto projects focused on AI that deal with model training and use Chatgpt have integrated Deepseek-V3 into their platforms.

Therefore, if Deepseek’s profitability is sustainable, it could considerably reduce the financial burden of cryptographic applications fueled by AI, allowing decentralized AI services, onchain intelligence and improved DEFI tools in AI To evolve more effectively. \ \

At the beginning, many investors began to speculate on the need for AI infrastructure, which caused the fall in the NVIDIA stock price. However, IA researchers underlined the Jevon paradox, which indicates that a greater efficiency will result in increased demand. In other words, AI innovations will intensify with a lower infrastructure cost, which arouses the interests of investors.

Depth Spot-Onding AI Open Source

THE open source The concept is not unrelated to the people of cryptography, where decentralization and transparency are fundamental principles. However, the fact that a model worked better than some of the largest rooms in the space was open to the public is breathtaking. This reduces the obstacles to the entry for cryptography applications led by AI without worrying about centralized providers.

However, with accessibility comes a risk. It is not clear if something like that could cause threats of cybersecurity. With Deepfake Generation, automated phishing scams, and even more, these bad players now have access to unprecedented tools for malicious activity, where blockchain networks must adopt native defenses AI to follow.

However, management voices in AI and crypto, such as the artificial super intelligence Alliance (ASI), adopt a different position. Rather than considering Deepseek as a security risk, Asi considers it “a step towards the democratization of AI in the cryptography sector”. A more positive approach, while highlighting a key philosophical fracture in AI and the cryptographic sector.

The AI ​​sector is never the same

The movements of the FOMO and capital always go hand in hand with important news on the market, and the announcement of Deepseek was no exception. THE Initial panic Given crypto projects related to AI to lower, reflecting concerns about the disruption of financial services fueled by AI. However, the market reaction seems to stabilize, with several major Crypto IA projects such as Bittensor and ICP in recovery.

While Deepseek undoubtedly made the subject of AI an even warmer subject of conversation, its long -term impact on the cryptography sector remains uncertain. If its profitability and its open-source model prove to be sustainable, it could accelerate the adoption of AI in DFI, blockchain security and onchain information. However, the balance between accessibility, decentralization and security risks will finally determine if Deepseek is an innovation catalyst or a challenge for cryptographic ecosystems integrated by existing AI.



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