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CEO Dr. Ben Goertzel discusses AGI benchmarks and explains why a system passing François Chollet's Abstraction and Reasoning Corpus for Artificial General Intelligence (ARC-AGI) wouldn’t necessarily qualify as human-level AGI.

26,943 просмотров • 1 год назад •via X (Twitter)

Комментарии: 8

Фото профиля FesteringRat
FesteringRat1 год назад

@bengoertzel Why is SingularityNET not ASI yet? So much talking but no actual product worth talking about. When is something actually coming?

Фото профиля SingularityNET
SingularityNET1 год назад

Hello, and thank you for your questions. The Artificial Superintelligence (ASI) Alliance is currently operating under the FET ticker, which will be updated to ASI once all needed third parties are aligned. For updates on product launches, we encourage you to explore our recent announcements and follow @ASI_Alliance for the latest news about ASI: Create, AIRIS, and more developments to come.

Фото профиля ebike100.cn
ebike100.cn1 год назад

@bengoertzel Hi, Could you let me know how could I transfer my AGIX tokens into FET or ASI tokens, I have PMed you several times but nobody answers?

Фото профиля CryptoAnalistPro
CryptoAnalistPro1 год назад

@bengoertzel 🚀✅🚀✅

Фото профиля pieter ter doest
pieter ter doest1 год назад

Why take all this trouble of scaling up old-fashioned AI and not just combine scaled-up LLMs with some minor symbolic parts? It is about reaching the goal and not what components you use. Everybody should use the free energy principle = minimize surprise for any solution though @KarlFristonNews #minimizesurprise

Фото профиля Maikel Claassen
Maikel Claassen1 год назад

@bengoertzel maybe a collab with @Sia__Foundation in the future?

Фото профиля Onamuh
Onamuh1 год назад

@bengoertzel The MegaBen speakth!

Фото профиля KUZEY
KUZEY1 год назад

@bengoertzel Fet token sahip çıkın biraz yatırımcı ya sahip çıkın yönetime sesleniyorum lütfen

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As Big Tech companies continue channeling billions of research dollars and attention into developing and scaling LLMs, a fundamental question is emerging in tech circles: Are LLMs actually leading us away from true AGI? At a #Consensus2025 panel addressing whether Web3 is losing the AI race, our CEO, Dr. Ben Goertzel, challenged the conventional wisdom driving investment strategies at many leading AI companies and sovereign wealth funds, including the recent multi-billion-dollar investments from Saudi Arabia and the UAE in US AI infrastructure. "I would quote Yan LeCun, a pioneer of deep learning and the head of AI at Facebook, who said on the highway to AGI, LLMs are an off-ramp," Dr. Goertzel told attendees, rejecting the premise that Web3 approaches are falling behind centralized AI development: "If you've gotten off the off-ramp, it doesn't matter if you're going 1,000 miles an hour and the other guy's only going 300 miles an hour if they're going on the right highway to the destination." The panel, which featured Ben Fielding (Founder, Gensyn), Jesus Rodriguez (CEO, IntoTheBlock), Clara Tsao (Founding Officer, Filecoin Foundation), and Jeff Wilser (Founder and Host, The People's AI Podcast), revealed a stark divide in how industry experts view the future of decentralized AI. While other panelists pointed to Web3's current disadvantages in talent, datasets, and infrastructure, Dr. Goertzel addressed a deeper issue: the incremental improvement of LLMs is not a viable approach to achieving human-level AGI. However, "If scaling up transformer neural nets is the crux of how you get to AGI, it's hard to see how the US and Chinese governments and the Big Tech companies in their orbit don't win the race," Dr. Goertzel acknowledged, noting the immense capital these entities are deploying. Our AGI R&D efforts at SingularityNET suggest a different path forward. "My own research intuition is that LLMs are not suited to be the central hub of a human-level AGI, let alone a Superintelligence, although they can be a powerful ingredient in a hybrid architecture for AGI," Dr. Goertzel explained. Our team is developing OpenCog Hyperon, a "hybrid, deep neural net, symbolic reasoning, evolutionary learning, approach to AGI within more sophisticated cognitive architectures than LLMs comprise," as described by Dr. Goertzel. This cognition-level approach represents a fundamentally different direction from most mainstream AI development. Dr. Goertzel closed with a prediction that would have seemed outlandish just a few years ago but now reflects our growing confidence in decentralized approaches through which AGI will be in the hands of humanity at large and without a single owner or controller: "Within the Artificial Superintelligence Alliance, we will launch the first AGI within one to three years from now on a decentralized infrastructure, and Big Tech will play catchup."

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39,110 просмотров • 1 год назад