SingularityNET Aims for AGI Breakthrough with Global Network of Supercomputers by 2025

August 13, 2024
SingularityNET Aims for AGI Breakthrough with Global Network of Supercomputers by 2025
  • SingularityNET is leading the charge in developing a global network of supercomputers aimed at creating Artificial General Intelligence (AGI), which is anticipated to surpass human intelligence.

  • The initiative includes the construction of a modular supercomputer designed to achieve AGI, with plans for it to be operational by late 2024 or early 2025.

  • The first supercomputer in this project is expected to be operational by the end of 2024, following a timeline that began with its initial launch in September 2023.

  • Ben Goertzel, CEO of SingularityNET, emphasizes that this supercomputer will enable a shift from traditional data-heavy learning to dynamic reasoning and world modeling.

  • The network will utilize advanced AI technologies, including deep neural networks and large language models, to facilitate a transition to sophisticated machine thinking.

  • The computational power of this network is expected to have applications across various fields, including scientific research, engineering, and national security.

  • Access to the supercomputer network will be managed through a tokenized system, allowing users to contribute data for AGI experiments.

  • To manage the distributed computing environment, the team is implementing OpenCog Hyperon, an open-source software framework tailored for AI systems.

  • The supercomputers will feature cutting-edge technology, including Nvidia L40S GPUs and AMD processors, representing some of the most powerful AI hardware available.

  • SingularityNET operates in a competitive landscape, with significant investments in AGI development from other major tech companies like OpenAI and Meta.

  • Prominent AI leaders predict that AGI could be achieved as early as 2028, with Goertzel targeting 2027 as a potential milestone.

  • AGI is envisioned as a system that not only exceeds human intelligence across various disciplines but also learns and improves from its own experiences.

Summary based on 3 sources


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