The anatomy of AI in crypto. Brain and nervous system: $NEAR - $TAO Memory: $FIL - $AR Muscles: $RENDER - $IO - $AKT Eyes: $GEOD Labor force: $FET - $VIRTUAL Circulatory system: $LINK - $GRT Identity: $WLD The biggest hype and most asymmetric gains in the crypto AI rally will occur on the labor side—specifically, AI agents. In 2024–2025, infrastructure and muscles dominated the market—this was the era of building AI’s physical body: RENDER, IO, AKT, and others. In 2026, labor and agents take center stage. The body is now ready; it’s time for the brains to wake up and start working. Agents are not just lines of code—they are autonomous economic units with wallets, capable of executing transactions in DeFi, analyzing data, and making decisions. Also pay close attention to $GEOD, which bridges the physical world with AI. The biggest weakness of AI models is hallucination. Networks like GEOD provide real-world data with centimeter-level precision, enabling robotic systems and autonomous vehicles to navigate the physical world without error. If AI is to operate not just online but also on the streets, GEOD will become the eyes and navigation hub for drones and autonomous delivery robots—because their most critical need is accurate physical-world data. If you notice any missing components in this anatomy, please share them in the comments 🧩 Also, do you agree that AI agents will dominate the next cycle?

LATEST🚨 CoinFund founder Jake Brukhman says decentralized AI networks using distributed GPU resources for frontier model training can serve as a counterweight to growing government control over centralized AI models.🔎

In today’s Chinese AI discussions, GPUs have become the entry point. The deeper you look, the more components—power distribution, transformers, cooling systems, cables, copper, and power connectivity—are bundled into the same list of compute expansion needs. Once the term “AI factory” emerges, traditional industrial products suddenly feel very close to model training.

Today’s discussion on AI infrastructure has seen a clear shift in focus: where people previously concentrated on GPU deliveries, they are now paying attention to grid connectivity, memory prices, copper, cooling, and backlog orders from cloud providers. The story of computing power has been reduced to a long list of hard procurement items, leaving little room for PowerPoint presentations.

What did you think Soverign AI meant? It’s like ppl are waking up from their self delusion that AI would democratize intelligence & realizing it’s more about controlling intelligence to create moats. Open source & decentralized AI is one counter measure to reduce that threat, but that won’t hamper the limitations & stake governments are about to take in AI labs.

Long before Web3 became a global movement… Before DePIN became a widely discussed concept… And before decentralized AI entered mainstream industry conversations… $BitTorrent had already introduced a powerful idea: Distributed networks can scale. For years, BitTorrent challenged the assumption that large systems must rely on central control to be efficient. Instead, it demonstrated that millions of independent participants could contribute resources, share workloads, and create value collectively without a single coordinator. And it worked. The network expanded. Participation grew. The model proved itself at global scale. Today, many of those same principles are being revisited in a new context. As artificial intelligence drives unprecedented demand for computing power and infrastructure, the industry is increasingly exploring how to use distributed resources more effectively. What once seemed unconventional is now being reconsidered as necessary. This is why DePIN feels less like a brand-new direction and more like a continuation of an idea that has been evolving for years. An idea where participation itself becomes infrastructure. This has always been part of the BitTorrent story. Its impact goes far beyond file sharing. It showed that decentralized coordination at scale is not only possible, but sustainable when enough participants contribute to the system. And in the era of AI, that lesson is becoming even more relevant. Because the future may not be defined only by the most powerful centralized systems. It may be defined by the most connected networks. $BitTorrent was not late to this conversation. It was early to the model. And sometimes, being early simply means the world is still catching up. @BitTorrent @justinsuntron #TRONEcoStar

A pattern for companies I notice is that they put themselves in positions where the state would want to interfere with them. I’d love to see more of these guys think ahead and try to develop decentralized defense in depth. Central is more efficient but always has a systemic risk.

The #AI security narrative is building, it’s the only industry #AI hasn’t fully accelerated yet It is not a short term narrative- it’s 💯 needed It’s a $300B+ industry & $ZAUTH here in the mid $3m range building a market leading solution Real adoption, real value capture