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Are Large Language Models a Path to AGI? with Ben Goertzel - #625

2023-04-17 · 60 min · episode 625 · 14 entities

Asserted relationships

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    Are Large Language Models a Path to AGI? with Ben Goertzel - #625
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    Feed author/publisher: Sam Charrington
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  • → hosted by TWIML company
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    Feed author/publisher: TWIML

Entities found in this episode

concepts 6

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    Feed category: Science
  • mentioned Tech News concept
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    Feed category: Tech News
  • discusses Science concept
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    evidence rules-v4
    Feed category: Science
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    Feed category: News
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    Feed category: Tech News
  • mentioned AGI concept
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    AGI

companys 4

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    Feed author/publisher: TWIML
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    Feed category: Technology
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    Feed category: Technology
  • hosted by TWIML company
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    Feed author/publisher: TWIML

persons 3

  • mentioned Ben Goertzel person
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    evidence rules-v4
    Are Large Language Models a Path to AGI? with Ben Goertzel - #625
  • mentioned Sam Charrington person
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    evidence rules-v4
    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
    0.55
    evidence rules-v4
    Feed author/publisher: Sam Charrington

podcasts 1

Episode description as stored
Today we’re joined by Ben Goertzel, CEO of SingularityNET. In our conversation with Ben, we explore all things AGI, including the potential scenarios that could arise with the advent of AGI and his preference for a decentralized rollout comparable to the internet or Linux. Ben shares his research in bridging neural nets, symbolic logic engines, and evolutionary programming engines to develop a common mathematical framework for AI paradigms. We also discuss the limitations of Large Language Models and the potential of hybridizing LLMs with other AGI approaches. Additionally, we chat about their work using LLMs for music generation and the limitations of formalizing creativity. Finally, Ben discusses his team's work with the OpenCog Hyperon framework and Simuli to achieve AGI, and the potential implications of their research in the future. The complete show notes for this episode can be found at https://twimlai.com/go/625