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Asimov’s Addendum

A publication by Tim O’Reilly and Ilan Strauss. Participatory, decentralized AI markets built for human participation, reward, and oversight.

asimovaddendum.substack.comSource feed ↗20 episodes

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The Apache Lesson for AI

In 1995, the question in the media was whether Netscape or Microsoft would control the web. The answer, it turned out, was neither.

Google’s Westinghouse Bet

SemiAnalysis thinks the DeepMind shakeup means Google is losing the AI race. It might be that Google is choosing to run a different race.

Differentiation and personality in AI models

Thoughts on model "culture" as a kind of lock-in

Open Protocols are Shaping AI Markets: The case of MCP

How MCP tools are becoming even more portable with remote servers and MCP aggregators

Where Does Intelligence Reside?

Why AI needs markets — and how specialized production / open protocols can enable this.

The Architecture of Participation: Progress at Bellagio and globally

AI Sovereignty, the Architecture of Participation, and our Rockefeller-sponsored Bellagio Convening

Agents Need a Public Square

Why better agent discovery is needed – and why broadcasting may be the answer

Open Source Ecosystems

When open strategy meets private tactics

The Third Artificial Intelligence

Will the state discipline AI, or will AI discipline the state?

The Collaborative Exoskeleton of AI Science

There is a lot of hope that AI will advance the progress of science, but unfortunately, the collision between AI and scientific publishing has not gone well.

The Salesforce of agents won't be Salesforce, The Google of agents won't be Google

Building software architectures and mechanisms for the agentic economy

Missing Mechanisms for the Agentic Economy

From disclosures to protocols to markets

Don’t Blame the Model

How current LLM infrastructure artificially limits developer control and system reliability

Dangerously Skip Permissions

The pragmatic case against scraping the open web and how market-shaping protocols could make agents safer.

Can Open Source Survive AI?

The stories of Stack Overflow, Tailwind, FFmpeg, and curl

What does Anthropic's Latest Economic Index Data Really tell us?

"if you listen very hard, the tune will come to you at last"

How to Prevent Open Standards from Getting Captured Again

The bundling problem and the thin line between product and protocol.

Our Anthropic IPO Christmas Wishlist

Tell Us What You’re Optimizing For

Are LLMs the Best That They Will Ever Be?

Without careful disclosure architectures, AI products may only get worse, even as the technology gets better.

Jet Planes for the Mind

With All Due Respect, Jensen Huang: AI Is a Tool, Not a Worker