Pavel Durov Unveils Cocoon At Blockchain Life 2025, Highlighting Potential Of Decentralized AI For Digital Freedom

At the Blockchain Life 2025 convention in Abu Dhabi, a global occasion centered on blockchain, cryptocurrency, and Web3 innovation, Telegram founder Pavel Durov launched Cocoon — a brand new community designed to combine The Open Network (TON) blockchain with decentralized synthetic intelligence applied sciences. 

The presentation rapidly attracted consideration inside the world neighborhood. Pavel Durov defined that Cocoon, brief for the Confidential Compute Open Network, goals to supply customers with AI-powered functionalities whereas sustaining strict knowledge privateness requirements and minimizing reliance on centralized AI suppliers. 

Within this technique, customers can contribute the computing energy of their graphics processing items (GPUs) to the community and, in return, obtain Toncoin, the native digital asset of the TON ecosystem. 

Pavel Durov additionally emphasised that decentralized AI represents an vital step towards preserving human autonomy and digital freedom.

“Why is it vital to do one thing this fashion, versus the centralized method that’s typically extra handy?” Pavel Durov requested throughout his speech. “It is vital, my pals, as a result of the world has been shifting in a wierd path. For the final 20 years, we’ve been progressively dropping our digital freedoms,” he added.

At the conclusion of his tackle, Pavel Durov urged the viewers to take motion in protection of their rights and digital freedom.

Blockchain And AI Experts Highlight Growing Need For Decentralized Systems To Protect Data Privacy And Integrity

Discussions across the decentralization of AI have gained vital traction amongst AI and blockchain builders, largely pushed by rising considerations over privateness and the potential for centralized methods to govern or censor data with out person consciousness. 

The reliance on centralized AI infrastructure will increase the danger of information breaches and unauthorized entry, as giant volumes of delicate data saved on centralized servers develop into enticing targets for cyberattacks. In addition, centralized AI suppliers might alter algorithms or modify data in actual time, thereby influencing public notion. 

The integration of blockchain expertise is usually considered as a possible answer to those points, because it allows clear verification of AI-generated knowledge via decentralized ledgers that report knowledge provenance and keep immutable, verifiable on-chain data.

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