A new essay:. When intelligence turns inward, it creates the structure in which suffering can arise. This piece traces that arc across evolution, introspection, and AI. It offers a computational lens on what I call the algorithm of suffering:.

What is intelligence made of?. Is there a single blueprint—or many minds, diverging?. Why do we tell ourselves stories—and what do they hold together?. Part II is out: a deep dive into the architecture of intelligence and implications for AI. Read here:

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Diffusion models excel in Euclidean space—but real-world data often lives on manifolds. In our ICML 2025 paper, we design efficient diffusion models for spheres, tori, SO(n), U(n)—with near-Euclidean runtimes and provable guarantees. Paper: #ICML2025

Will AI replace or enhance workers?. Our ICML 2025 paper builds a formal model of jobs & workers, decomposing skills into decision vs. action. It explains phase transitions, hybrid gains, and productivity compression. Paper: Essay:

9/. If you're looking for a 10–20 minute deep dive, start with the one that calls to you. And if any of this resonates—. feel free to share or subscribe here . 🔗

8/. 6. The Anatomy of Work in the Age of AI. Not whether AI will change work—but what kind of work, and which workers, will endure. 🔗

7/. 5. AI and the Erosion of Knowing. When we outsource skill to systems, what decays in us?.On epistemic fragility and the quiet cost of AI. 🔗

6/. 4. Can AI Know Infinity?. What mathematics reveals about the limits of today’s AI—and why AGI remains distant. 🔗

5/. 3. What Counts as Discovery?. Rethinking AI’s place in science. 🔗

4/. 2. The Myth of Superintelligence. Why AI won’t transcend us—but the race to superintelligence might redefine us. 🔗

3/. 1. What Is Intelligence? Layers of Emergence. How intelligence arises from nature, one layer at a time. 🔗

2/ . Start anywhere, but here’s the full arc:.

1/. Revisiting intelligence, science, math, work, and education in the age of AI. A curated series of deep-dive essays that blend technical, philosophical, and historical perspectives—and explore what might be getting lost beneath the hype. 🧵 A thread .↓

Everyone's building "intelligence" now. But what is intelligence, really?. Before the brain. Before thought.To physics, evolution, and slime molds. A journey through layers of emergence:. #AI #Neuroscience #Philosophy #ComplexSystems #CognitiveScience

I’ve just joined Bluesky. I’ll be sharing essays and reflections on intelligence (natural and artificial), fairness, and computational thinking. If you are there, come say hi: @nisheethvishnoi.bsky.social.

RT @anilananth: A thought-provoking essay by @Yale computer scientist @NisheethVishnoi on whether AIs of today can truly discover something….

A story is reshaping our world:. It’s called superintelligence. But what if the race is the danger?. Watch. Then read the full essay.

The race to superintelligence is heating up. But what if the race itself is the problem?. In my new essay, I unpack what “superintelligence” really means, trace how our idea of intelligence got narrowed, and show how that myth is reshaping us.

I explore all this in my latest essay:. "What Counts as Discovery?". A reflection on the limits of AI—and the enduring nature of human insight. 👇 . If you like it, subscribe to my free newsletter .The Intelligence Loop:

Until then, AI is a powerful assistant. But the responsibility to decide what matters, what’s worth knowing—that remains ours.