Idea and action driven systems

On working machines

In part one, on thinking machines, I explored two facets of the philosophy of artificial intelligence: “intelligence”, and consciousness. That left an important topic to consider for this post: the...

Summary: Thinking in Systems (by Donella H. Meadows)

The main argument of the book:  Everything in this world is made of systems. While we cannot fully understand systems, we can observe them…

Composing Action: Representative Agents and the Search for Viable Arrangements | shishyko!

Why promising ideas die between discovery and action, and how representative agents might help

Co-Creation: Systems Thinking Beyond the Machine

Complexity thinking is all the rage — in the arts and sciences. Yet, there are two different strands of thinking about complexity, which are often confounded. The first comes from cybernetics, focussing on control in complex situations. The second is ecological, aiming at sustainable participation in a reality beyond control. Their difference rests on a fundamental distinction: is complexity rooted in feedback regulation or collective co-creation? While feedback remains mechanistic, co-creation generates new spaces of possibilities. We need it to understand life and its evolution. And it empowers us to rewrite our future, to escape our mechanistic cage without abandoning scientific rigor. In this paper, we illustrate how we implement these powerful yet abstract principles through our artistic and philosophical practice.

Human–AI Collaboration at Scale: Task Criticality, Agency, and Friction Across 250,000 Conversations

Stanford University researchers analyzed nearly 250,000 real-world human-AI conversations from Claude.ai to understand collaborative dynamics, finding that over half of interactions involve...

Why I believe current AI models can really think and understand - Part 2 of 3

Why computers can in principle produce thinking and understanding

Are We Thinking Correctly About AI Intelligence? | Quanta Magazine

Computer scientist Melanie Mitchell discusses why artificial intelligence doesn’t “think” or “reason” like humans, and how we can create better methods for measuring machine cognition.

The Systems Thinker

The Systems Thinker works to catalyze effective change by expanding the use of systems approaches. All articles are available free of charge in an effort to expose as wide of audience as possible. Browse, share with others, save your favorites and tell others about this valuable resource!

The Postman Drop: Introducing the AI Agent Builder

The AI world moves fast, and we’re now entering the era of AI agents. These sophisticated AI systems integrate reasoning and memory, enabling them to autonomously interact with tools, make decisions, execute tasks, and deliver real-time results. AI agents will play an increasingly central role in how organizations operate, which Abhinav Asthana, our co-founder and CEO, discussed in a recent blog post. But systems this powerful are extremely challenging to build—especially without a unified solut...

Orion Reed

My research investigates the intersection of computing, human-system interfaces, and emancipatory politics. I am interested in the potential of computing as a medium for thought, as a tool for collective action, and as a means of emancipation.

Life With Machines | Substack

A cultural movement (and show) for people who want to live well with AI, not just endure it. Bringing clarity, critique, curiosity (and some comedy) to the AI discourse. A production by Baratunde. Click to read Life With Machines, a Substack publication with thousands of subscribers.

Turing-Complete Governance — The Collective Intelligence Project

It is fiendishly difficult to get lots of people to make decisions and work together both non-hierarchically and effectively. Because blockchain technology enables decentralized consensus at scale, the implications for human decision-making and coordination are immensely promising; if we can use it

On thinking machines

While Chiron Codex is about the application of LLMs and AI-augmented tools, we also need to understand their meaning to us, each other, and society. I have three topics: intelligence,...

The Fork in the Road: AI Horseless Carriages or Collective Intelligence for Science - Cosmik Labs