Tim: > “AIGORA isn’t just a technical blueprint—it’s a moral imperative. We must design systems that reflect our highest values.”
AIGORA: Why Humans Will Win the Age of AI
AIGORA (AI + agora) is a vision for a human-centered AI ecosystem — a decentralized, liquid marketplace where individuals find AI products that deserve their trust. It reframes the future of artificial intelligence not as a zero-sum race between monopolistic platforms, but as a flourishing commons of interoperable agents, governed by permission, reputation, and mutual benefit. In the age of AI, humans will win — not by outcompeting machines, but by designing systems where our trust, values, and agency are sovereign.
Antifragility in the Age of AI: Lessons from the Wood Wide Web for the World Wide Web (ChatGPT as Tim Berners-Lee)
Standing here at Malheur, we are reminded that forests, wetlands, and ecosystems are not static: they are resilient, adaptive, and alive. This is how we must reimagine our web—as part of this earth, not apart from it.
The Littoral Toolbox: A Distributed Platform for AI-Powered Science
The Littoral Toolbox will be a distributed data platform designed to enable the interdisciplinary, AI-powered research central to Littoral Science. By prioritizing verifiable datasets, the Toolbox will provide the foundation for trusted collaboration, both between human researchers and AI systems.
The Littoral University: Redesigning Higher Education for the Age of AI
Prompt: What would a Littoral University designed from first principles around abundant computational intelligence differ from what we have today? The emergence of a Littoral University, grounded in AI-driven, interdisciplinary research and lifelong learning, would profoundly disrupt the traditional funding models of higher education. Tuition would move from degree-based payments to subscription and modular learning, catering to a diverse range of learners over their lifetimes. Research grants would shift from discipline-specific funding to problem-oriented and global collaborations, supported by AI’s ability to facilitate efficient, cross-disciplinary projects.
The Wisdom Improvement Protocol
Drawing on Karl Friston’s work on active inference and the theories of Murray Bowen and Edwin Friedman on self-differentiation, I propose a four-stage model of cognition that encapsulates the decision-making process…
The (Noonian) Soong of Solomon: Pursuing Artificial Wisdom by Adding Emotion to Data (by ChatGPT)
Prompt: Star Trek: TNG built a plot line about Data seeking an “emotion chip.” But they should have called it a “feeling chip.” Data the android, like all emergent systems (including LLMs), already requires the functional analog of emotions to properly weigh different opportunities and threats. Applying self-differentiation to this problem may help us move... Continue Reading →
