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What Vinge Saw

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  Copyright: Sanjay Basu Vernor Vinge died in March 2024, a year after GPT-4 was released and six months before OpenAI released the first widely deployed reasoning model. He was 79. He had spent most of his adult life either writing about the arrival of superhuman intelligence or teaching mathematics to people who would help build it. The timing is worth sitting with. He did not miss the singularity by decades. He missed it by weeks. Most obituaries mentioned the 1993 essay. Some mentioned True Names . A few mentioned Rainbows End . Almost none tried to say what he had actually gotten right, because doing that requires reading four books written across twenty five years and holding them in the same head at once. I want to try. True Names, 1981 True Names is a novella about hackers who meet in a shared virtual space and hide from a government that wants to find them. The word “cyberspace” would not exist for another year. The dominant reading, then and now, is that Vinge predicted ...
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A Lens With Two Substrates

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 What J-Lens Would Have to Become to Read a Hybrid Quantum-Classical Mind A Technocrat's Discernment. July 9, 2026. Third in a series with "The Jacobian in the Mirror" and "Quantum in the Loop." The first piece asked whether Claude is thinking. The second asked whether the substrate matters. This one asks the practical follow-on: if we do end up with hybrid quantum-classical systems, whether in five years or fifteen, how would we look inside them? What would an interpretability tool have to be able to do to answer the same questions the J-lens is answering now? I want to work through this carefully because most of the writing on hybrid interpretability I have seen so far is either a straight port of classical mechanistic tools to a system they were not designed for, or a hand-wave in the direction of quantum tomography without engaging what the classical side would need. Both miss the interesting problem. The interesting problem is what happens at the seam. Let ...
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Quantum in the Loop

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  Do Quantum Neural Networks Help Us Get to AGI, or Do We Just Want Them To? A Technocrat's Discernment. July 8, 2026. Companion to "The Jacobian in the Mirror." A reader wrote in after the J-space piece with the good, dumb question. The best questions are almost always dumb ones. Hers was this: if we are getting close to something we might call machine cognition, do quantum neural networks matter for the road ahead? Do they help us get to AGI? Do they help us build the kind of AGI that would count as an entity in some deeper sense than the functional one? I have been sitting with variational circuits on a CUDA-Q setup at home and a DGX Spark next to it, running benchmarks the two of us can compare on the same problems, and I think I owe an honest answer. So here it is, in one line: quantum neural networks will probably make a modest positive contribution to the road to AGI. Almost none of that contribution will be on the critical path. And the more interesting question i...
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