The Race to Human-Level AI: Inside the Multi-Level Cognitive Computing Network
Description
Join us as we explore SingularityNET’s ambitious strategy to deliver Artificial General Intelligence (AGI) by betting on a network of powerful supercomputers. Today's AI excels in specific areas—like composing poetry (GPT-4) or predicting protein structures (AlphaFold)—but it remains far from genuine human-like intelligence.
SingularityNET CEO Ben Goertzel explains that even with novel neural-symbolic AI approaches, significant supercomputing facilities are still necessary. This need is driving the creation of a “multi-level cognitive computing network” designed to host and train the incredibly complex AI architectures required for AGI. This includes deep neural networks that mimic the human brain, vast language models (LLMs), and systems that seamlessly weave together human behaviors.
The first supercomputer, a Frankensteinian beast of cutting-edge hardware featuring Nvidia GPUs, AMD processors, and Tenstorrent server racks, is slated for completion by early 2025. Goertzel views this not just as a technological leap, but a philosophical one—a paradigmatic shift taking place towards continuous learning, seamless generalization, and reflexive AI self-modification.
To manage this complex, distributed network and its data, SingularityNET has developed OpenCog Hyperon, an open-source software framework specifically designed for AI systems. Users can purchase access to this collective brainpower and contribute data to fuel further AGI development using the AGIX token on blockchains like Ethereum and Cardano. With experts predicting human-level AI by 2028, the race is certainly on.
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