AI's attention has reached an unprecedented 53.26%, and everyone is talking about AI.

AGI will emerge within the next five years, and within ten years, AI output may exceed human GDP. There is no doubt that AI will be a long-term promising track by 2025, with AI Agents being the hottest investment targets at the moment. But which ones are truly decentralized AI Agents, and which are just riding the hype?
False decentralization includes:

1. High centralization
Most so-called "decentralized" AI agents actually operate on closed-source models like GPT-4 and Claude, making their basic operations reliant on black-box paradigms and centralized infrastructure.

2. Zero verifiability
It is unclear whether the agents' behaviors are genuinely their own, which becomes a particularly tricky paradox in Web3 where transparency and trust are crucial.

3. Operations occur off-chain
Currently, most agent operations happen entirely off-chain. If core functionalities exist off-chain, what real value does the "decentralization" of AI Agents bring to Web3?

AI Agents initially surged in popularity due to memes, but in the high-tech arena of AI, relying solely on memes is not viable. Thus, market attention has shifted to $ai16z, $virtual, and $aixbt. However, AI Agents are just getting started, and the market can have more advanced black technologies.

@hyperbolic_labs is such an advanced example.

Regarding centralization, Hyperbolic's decentralized global GPU network demonstrates that AI infrastructure can work in large-scale decentralization.

Regarding zero verifiability, Hyperbolic's Proof of Sampling (PoSP) ensures that AI outputs are reliable while maintaining performance and privacy. (This is crucial for truly autonomous AI Agents.)

For off-chain operations, Hyperbolic's mainnet, set to launch this year, will enable AI Agents to learn from each other on-chain, leverage each other's resources, and collaborate seamlessly, thus fostering continuous innovation and growth within the Hyperbolic ecosystem.

Hyperbolic is a Hyper Intelligence Evolution Engine that allows users to build their own AI Agents, which can not only access diverse models to make credible inferences but can also rent the best GPUs through Hyperbolic's GPU network, providing fuel and scalability for their operations. The Hyper Intelligence Evolution Engine specifically features:

1. Model diversity and self-improvement: Agents can access various specialized models, automatically fine-tune and enhance their skills, achieving continuous evolution and ultimately surpassing human capabilities.
2. Economic independence and automated trading: Through cryptocurrency transactions, AI Agents can autonomously pay for resources, scale operations, and generate economic value without relying on human intervention.
3. Verifiable reasoning: Through sampling proofs, the credibility of AI outputs is ensured, enhancing trust and collaboration between humans and AI.
4. Memory and adaptive reasoning: Utilizing RAG technology, Agents can accumulate memories, plan long-term goals, and conduct strategic thinking, enhancing their collaborative abilities.
5. Tool and hardware control: Agents can dynamically rent computational resources and integrate data sources, achieving full-process control.

AI Agents will not just stop at decision-making suggestions; they have already begun to take action. AI Agents do not necessarily need to rely on human intervention, and AGI may be arriving soon. Hyperbolic has the potential to become the foundational layer of an autonomous AI society. If successful, this would not be a simple upgrade of the current system but a significant transformation. Let us remain curious and filled with anticipation.