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Quoting Robin Sloan

RSS January 07, 2026
Score: 8.7

Interest Score Breakdown

Seismic Impact (30%)

8.0/10

How newsworthy is this in AI?

Ecosystem Relevance (70%)

9.0/10

How useful for your apps?

Summary

AGI is here! When exactly it arrived, we’ll never know; whether it was one company’s Pro or another company’s Pro Max (Eddie Bauer Edition) that tip-toed first across the line … you may debate. But generality has been achieved, & now we can proceed to new questions. [...]


The key word in Artificial General Intelligence is General. That’s the word that makes this AI unlike every other AI: because every other AI was trained for a particular purpose. Consider landmark models across the decades: the Mark I Perceptron, LeNet, AlexNet, AlphaGo, AlphaFold … these systems were all different, but all alike in this way.


Language models were trained for a purpose, too … but, surprise: the mechanism & scale of that training did something new: opened a wormhole, through which a vast field of action & response could be reached. Towering libraries of human writing, drawn together across time & space, all the dumb reasons for it … that’s rich fuel, if you can hold it all in your head.


Robin Sloan, AGI is here (and I feel fine)

Tags: robin-sloan, llms, ai, generative-ai

How to Use in Your Ecosystem

The passage's insights into AGI's generality directly align with Zac's Claude-powered orchestrator, which demonstrates flexible, general-purpose intelligence across multiple Rails apps. Specifically, this could inform the development of more adaptive agents in task_tracker and ai_tracker, enhancing the system's ability to dynamically interpret and respond across domains like infrastructure, game AI, and prediction markets by leveraging the "wormhole" of generalized language understanding.

Source

https://simonwillison.net/2026/Jan/7/robin-sloan/#atom-everything