How does the scale of current AI infrastructure investment affect the economics of the AI industry, and what happens if AGI arrives on a different timeline than expected?
In a new analysis, our CEO, Dr. @bengoertzel, examines three possible trajectories for AI progress and the financial obligations created by today’s infrastructure buildout. His central argument is that a financial crisis could emerge across fast, moderate, and pessimistic AI scenarios, meaning that a future market correction would not necessarily tell us much about whether the underlying technology is progressing toward AGI.
The analysis then considers what changes if decentralized AGI succeeds. A global network using heterogeneous hardware and token-based funding would have a different capital structure from the debt-financed infrastructure being built by major technology companies, with no comparable refinancing gates and a capacity to absorb hardware released during a downturn.
Our CEO, Dr. @bengoertzel, sat down with Dan Turchin on the AI and the Future of Work podcast to discuss the path to Beneficial General Intelligence.
The conversation examines what AGI requires beyond LLM-centric systems, including reasoning grounded in persistent memory, architectures capable of examining themselves, self-modeling and other-modeling, and values that can be expressed symbolically.
Dr. Goertzel explains how Hyperon-based systems enable these capabilities through the integration of neural, symbolic, and evolutionary paradigms.
Our CEO, Dr. @bengoertzel, joined the New Era Finance Podcast to discuss AGI timelines, the transition from human-level AGI to superintelligence, the future of work, the rise of AI agents, and the combined values of open source and decentralization: https://t.co/I9r4eAqq3N
Our CEO, Dr. @bengoertzel, discusses an experimental OmegaHive approach to incremental self-improvement. A hive starts from a measured baseline, adds a cognitive mechanism, tests and tunes it, and then decides whether to keep it before moving to the next.
Multiple hives can explore different approaches in parallel, compare results, and reuse components that hold up under evaluation.
The hypothesis is that this could turn agentic coding into a cumulative process for developing increasingly general systems, while human researchers continue to guide the scientific and governance decisions.
A new paper by BGI Labs co-founder Elija Perrier, "Post-AGI Economies: Superposition and the Second Fundamental Theorem of Welfare Economics," has been published in the proceedings of the 19th Annual Conference on Artificial General Intelligence (AGI-26).
The Second Fundamental Theorem of Welfare Economics is a foundational result in economic theory. This paper examines how it extends to post-AGI economies, introducing an autonomy-qualified extension that identifies the conditions under which its classical decentralization result remains valid.
Learn more: https://t.co/KZhCgRJVV2
In an interview with CNN, our CEO, Dr. @bengoertzel, discusses recent security incidents involving frontier AI systems and why they highlight the importance of "instilling morals in AI."
Read here: https://t.co/RQgMD825sg
Our CEO, Dr. @bengoertzel, and Chief Ethics Officer, Kai Zen Bickle, recently joined @juliankissa on The Beyond Tomorrow Podcast to discuss beneficial general intelligence (BGI), where the field stands today, and the technical, ethical, and governance challenges that lie ahead.
We are pleased to announce that our CEO, Dr. @bengoertzel, will speak at @Ai4Conferences in Las Vegas on Wednesday, August 5, 2026, at 10:30 AM, where he will deliver a keynote titled "Beneficial AGI: The Path the Frontier Labs Are Missing."