LLMs Aren’t Enough: Memory, Reasoning and Real Generative Models | Technical Tuesday @SingularityNET
LLMs Aren’t Enough: Memory, Reasoning and Real Generative Models | Technical Tuesday  @SingularityNET
Uploaded October 2025 | Updated September 2026, 2 hours ago
In this Technical Tuesday Episode, host Hayley Lowey sits down with Alexey Potapov (Chief AGI Officer) and Vita Potapova (Hyperon Project Manager) to unpack a hot question: what are LLMs really good at, and where do they hit a wall on the road to AGI?

We dig into:

Why hallucinations and brittle reasoning persist, and how the lack of internal state/online learning caps reliability. The Tic-Tac-Toe moment: LLMs can describe the winning strategy yet still make the wrong move without working memory. Next-token prediction vs “true” generative modeling (beam search, energy-based transformers) and why local optima aren’t enough. Using LLMs as pre-trained skills inside broader cognitive architectures rather than the center of AGI.

If you’re curious about the limits of today’s models—and the practical roadmap beyond—this conversation is for you.

#TechnicalTuesday #AGI #LLM #Hyperon #MetaLanguage #PredictiveCoding #AIResearch #DecentralizedAI #AGI #DecentralizedAGI

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SingularityNET was founded by Dr. Ben Goertzel with the mission of creating a decentralized, democratic, inclusive, and beneficial Artificial General Intelligence (AGI). An AGI is not dependent on any central entity, is open to anyone, and is not restricted to the narrow goals of a single corporation or even a single country.

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LLMs Aren’t Enough: Memory, Reasoning and Real Generative Models | Technical Tuesday

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