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ASI:Create Closed Beta is now open to waitlisted users.
Over the past few months, we've been building ASI:Create with a small group of early users. Today, we're expanding access through our closed beta.
More details below.👇
Artificial Superintelligence Alliance
2,442 posts
Artificial Superintelligence Alliance
@ASI_Alliance
The world’s largest open-source initiative dedicated to decentralized AGI. @fetch_ai @singularityNET @CUDOS_ Powered by $FET
Joined March 2022
- We are excited to sponsor the 19th Annual AGI Conference (AGI-26), taking place July 27–30, 2026, in San Francisco, California. Throughout AGI-26, we will present the latest research breakthroughs and technical advances across the ASI Alliance technology stack.
Register now to attend in San Francisco or watch online: - Artificial Superintelligence Alliance reposted
Introducing a neural-symbolic security architecture for bounding jailbreaks and unauthorized capability release, applicable both to open and centralized frontier AI systems: bengoertzel.substack.com/p/un-jailbreak…
- Replying to @ASI_AllianceFrom June 26-28, 2026, we will host a three-day online hackathon open to both technical and non-technical contributors. The track focuses on designing or prototyping ways for community members to engage with OmegaClaw inside ASI:Create, including conversational flows, agentTo join future stages of the ASI:Create rollout, you can register here:
- "The limits of backpropagation become the entire AI field's limits." Dr. Matthew Behrend, FabricPC Project Lead, explains why we are exploring alternatives to the most common training algorithm for neural networks, including LLMs.
00:00Watch Ep 1 of our Technical Tuesdays series to explore why Predictive Coding is AI's next learning paradigm and how it enables continual learning and energy-efficient AI: - “Continual learning is a property that human-like AGI systems should have.” CEO Dr. @bengoertzel explains why today’s LLMs are trained in large-scale offline runs and then deployed with fixed weights.
00:00A key challenge is catastrophic forgetting, in which models forget previously learned knowledge when trained on new data. Watch Ep 1 of our Technical Tuesdays series to explore how predictive coding offers a path toward solving continual learning: - In episode 1 of our Technical Tuesdays series, our CEO, Dr. @bengoertzel, and Dr. Matthew Behrend, FabricPC Project Lead, introduce FabricPC, our high-performance, open-source framework for building and training neural networks using predictive coding.
- Artificial Superintelligence Alliance repostedWhat does it look like when the lock-it-all-down theory of AI safety meets reality? CEO Dr. @bengoertzel on what the Fable 5 episode reveals about the limits of centralized AI control and the case for open, decentralized AI safety and infrastructure: bengoertzel.substack.com/p/the-anthropi…
- This week alone, a leading AI lab straitjacketed its own model, a government shut it down entirely, and legislators are debating ownership stakes in frontier labs. This is not the first time access to frontier technology has been restricted, nationalized, or shut down by aThe US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of
- In Episode 1 of our Technical Tuesdays series, Dr. Matthew Behrend, Senior AI Research Scientist at @SingularityNET, breaks down the difference between backpropagation and predictive coding in neural network learning.
00:00Learn more about predictive coding and FabricPC, our open-source research framework for building and training neural networks using it:
