SingularityNET launched its AGI-26 Workshop Day on July 27, 2026, streaming the event live from San Francisco State University and convening researchers around core questions in artificial general intelligence.

The workshop focuses on what it would take to build genuinely general AI systems, rather than systems limited to large-scale pattern recognition. Its agenda places emphasis on machine consciousness, interpretable natural language processing and active inference, all areas that remain central to debates over whether current AI systems can progress toward broader forms of intelligence.

Artificial general intelligence generally refers to systems that can perform a wide range of cognitive tasks across domains, rather than excelling only at narrowly defined functions. That distinction is central to the workshop’s framing because many of today’s widely used AI tools remain optimized for specific tasks, even when they appear flexible in language, coding or image-generation settings.

The event was scheduled to begin at 3:25 PM UTC and was presented in a hybrid format, with an in-person gathering at San Francisco State University and a global livestream for participants outside the venue. SingularityNET, which operates as a decentralized platform for AI development and collaboration, framed the workshop as a research-focused event rather than a product launch or investor presentation.

Gary Marcus and Ben Goertzel Headline the Program

The keynote speakers include Gary Marcus and Ben Goertzel, two prominent figures in artificial intelligence research whose work reflects different approaches to the field.

Marcus, a cognitive scientist, is widely known for his criticism of approaches that rely heavily on deep learning alone. Goertzel, the founder of SingularityNET, has long argued for the development of systems capable of reasoning, learning and generalizing in ways associated with artificial general intelligence.

Their participation places contrasting views on the same program. Marcus has emphasized limitations in current AI systems and the need for stronger grounding in cognitive science, while Goertzel has advocated for architectures and research programs aimed directly at AGI. The workshop’s format gives researchers an opportunity to examine those positions in the context of technical sessions rather than commercial product announcements.

Workshop Sessions Focus on Consciousness, Interpretability and Active Inference

The AGI-26 Workshop’s technical agenda centers on three themes: machine consciousness, interpretable natural language processing and active inference.

Machine consciousness examines whether artificial systems could develop anything comparable to subjective experience or self-awareness. While the topic remains contested, it is frequently discussed in AGI research because it addresses questions about agency, understanding and the internal states of intelligent systems.

Interpretable natural language processing focuses on making language-based AI systems more transparent. Current language models are often described as black-box systems because their internal reasoning processes can be difficult to inspect or audit. Research into interpretable NLP seeks methods that would allow developers, researchers and users to better understand how systems produce outputs and reach conclusions.

Active inference, a framework rooted in theoretical neuroscience, explores how intelligent systems can model their environments and act through ongoing prediction, feedback and adaptation. Within AGI research, the framework is viewed as one possible path toward systems that interact with changing environments rather than simply responding to static prompts.

Together, the sessions address issues that separate narrow AI tools from the broader goal of artificial general intelligence. The program treats AGI as a scientific and engineering challenge involving cognition, perception, reasoning and explainability, rather than only a matter of scaling existing systems. Those topics also overlap with wider AI governance discussions, since systems that are difficult to interpret or evaluate can raise practical questions for researchers, developers and institutions deploying them.

SingularityNET Emphasizes Research Role in AGI Ecosystem

SingularityNET has historically attracted attention both as a decentralized AI platform and as the issuer of the SingularityNET token. The AGI-26 Workshop highlights the organization’s research-oriented activity within the broader artificial general intelligence ecosystem.

According to available data cited in the source report, the SingularityNET token is currently showing no trading activity and no reported price movement. The workshop is therefore taking place outside any reported token-driven market activity.

SingularityNET has also previously partnered with organizations including MindChildren_AI and the AGI Society, according to Coinfomania’s reporting. Those relationships position the AGI-26 Workshop as part of a broader effort to build collaboration and institutional presence across the AGI research community.

Altman’s “Singularity” Comment Frames the Timing

The workshop comes one day after OpenAI CEO Sam Altman said on the “Relentless” podcast that “we are now, like, in the singularity.” According to Business Insider, Altman described the current moment as something he and colleagues once discussed speculatively over lunch and now view as having arrived in reality.

Altman’s comment places the workshop within a broader public debate over how close current AI systems are to transformative or general intelligence. One view holds that AI has already crossed a major threshold. Another view, reflected in the workshop’s attention to consciousness, interpretability and active inference, is that fundamental problems remain unresolved and require sustained cross-disciplinary research.

For researchers, events such as the AGI-26 Workshop provide a forum for examining assumptions, sharing experimental frameworks and developing collaborations across institutions. Whether those collaborations later influence AI-focused markets is separate from the workshop’s stated research purpose, which is to advance discussion and technical work around artificial general intelligence.