๐—•๐—œ๐—ง๐—ง๐—ข๐—ฅ๐—ฅ๐—˜๐—ก๐—งโ€™๐—ฆ ๐—ก๐—˜๐—ซ๐—ง ๐—–๐—›๐—”๐—ฃ๐—ง๐—˜๐—ฅ ๐—œ๐—ฆ ๐—•๐—œ๐—ก๐——๐—œ๐—ก๐—š ๐—”๐—œ ๐—ช๐—œ๐—ง๐—› ๐——๐—˜๐—–๐—˜๐—ก๐—ง๐—ฅ๐—”๐—Ÿ๐—œ๐—ญ๐—˜๐—— ๐—œ๐—ก๐—™๐—ฅ๐—”๐—ฆ๐—ง๐—ฅ๐—จ๐—–๐—ง๐—จ๐—ฅ๐—˜.

The release of BitTorrentโ€™s upgraded whitepaper introduces a longer-term vision that deserves attention.

Rather than treating AI computing as an isolated product, BitTorrent is working towards integrating it with its established peer-to-peer network and blockchain infrastructure.

The development roadmap outlines several stages.

2026: Infrastructure Development

Establishing and bootstrapping BTTInferGrid as a decentralized computing network.

2027: Capability Expansion

Expanding supported AI models and developing additional capabilities, including privacy-related features.

2028 And Beyond: Scaling

Continuing infrastructure development and expanding the networkโ€™s long-term capabilities.

An especially interesting aspect is the relationship between future decentralized service revenue and the BTT buyback-and-burn mechanism.

If AI computing and other decentralized services generate sustainable revenue, they could contribute to the existing revenue-linked tokenomics model.

This creates a potential connection between infrastructure adoption and token economics.

Of course, the roadmap represents development objectives rather than guaranteed outcomes.

What matters now is execution, developer participation, computing demand, and the ability to deliver reliable services.

BitTorrent is positioning itself for an AI-driven infrastructure future.

@BitTorrent_Official @Justin Sunๅญ™ๅฎ‡ๆ™จ #TRONEcoStar