ASI Alliance CEO Ben Goertzel Says Human-Level AGI Could Arrive Within Five Years as Decentralized AI Infrastructure Moves Toward ASI Chain

Ben Goertzel, CEO of SingularityNET and the ASI Alliance, said human-level AGI could arrive within two to five years during a new Alt Crypto Cast interview. The discussion covered decentralized AI infrastructure, persistent-memory agents, ASI Chain and the role of crypto networks in supporting AI systems beyond today’s large language models. SingularityNET has long been associated with the Cardano ecosystem through earlier AGIX Cardano integrations and decentralized AI collaboration, although the ASI Alliance is now broader than any single blockchain.

Goertzel Places Human-Level AGI Within a Shorter Development Window

Goertzel said he does not expect human-level AGI to launch immediately, but also does not view it as a development that is ten or twenty years away. His estimate placed human-level AGI within a two to five year window, with the possibility of faster progress or delays caused by unforeseen technical barriers.

He also said the gap between human-level AGI and massively superhuman AI may be shorter than earlier forecasts suggested. In the interview, Goertzel compared current progress with long-running predictions from Ray Kurzweil, but said a long delay between AGI and superintelligence now looks less plausible.

The estimate was presented alongside a broader view of current AI systems.

Goertzel said large language models are powerful tools, especially for coding, mathematics and research acceleration, but he argued that they are not sufficient on their own for full AGI. He pointed to missing capabilities such as persistent learning, self-understanding, motivation, grounded reasoning and creativity outside the training distribution.

Omega Claw Targets Persistent Memory for AI Agents

A major technical part of the interview focused on Omega Claw, a SingularityNET agent framework that combines LLM interaction with a persistent symbolic knowledge graph. Goertzel described the system as an agent that can talk through an LLM while storing its history, actions and user interactions in a memory structure designed to reduce context loss.

According to Goertzel, this gives the agent more continuity than a standard chatbot session. The agent can remember prior interactions, bring up earlier information and adapt its behavior over time. He also described the system as capable of modifying parts of its own code while running, depending on the task and feedback it receives.

SingularityNET is a decentralized AI platform focused on open infrastructure for AI services, agents and artificial general intelligence research. Users and developers can interact with AI services, deploy tools and participate in a broader ecosystem aimed at moving AI away from purely centralized platforms. The ASI Alliance brings SingularityNET together with other decentralized AI networks, with $FET positioned as the current token framework following the alliance merger process involving $AGIX and OCEAN.

ASI Chain Positions Crypto as an AI Utility Layer

Goertzel said ASI Chain is being developed as a new layer 1 network for decentralized AI infrastructure. He said the chain is currently in devnet, with a move toward testnet and a possible mainnet around the end of the year.

The planned model would connect AI operations with the machines that execute them through a blockchain-based utility layer. In Goertzel’s description, this could create an AI use case for crypto beyond DeFi, where network usage is tied to AI services, agents, compute and coordination across decentralized infrastructure.

He also said Web3 AI will need to offer better products than Web2 AI to reach broader adoption. Privacy, data sovereignty and decentralization were described as important, but not enough by themselves. The interview placed ASI Chain inside a broader push to make decentralized AI operational through usable agents, persistent memory, distributed compute and tokenized infrastructure, rather than treating blockchain only as a payment or governance layer.