criticality

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#criticality

@VraserX: This is kind of insane. Less than a year after groundbreaking and Oklo already hit criticality. At this point, everyone…

X AI KOLs Timeline ↗ · 2026-08-07 Cached

Oklo achieved nuclear criticality less than a year after groundbreaking, highlighting the growing importance of energy infrastructure as AI drives electricity demand.

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#criticality

@sama: congrats to oklo for achieving criticality! (less than a year after groundbreaking)

X AI KOLs ↗ · 2026-08-07 Cached

Sam Altman congratulates Oklo on achieving nuclear criticality less than a year after groundbreaking, marking a significant milestone for the fission startup.

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#criticality

Four nuclear reactors hit a big milestone in the US

MIT Technology Review ↗ · 2026-07-09 Cached

Four US microreactors achieved criticality by the July 4 deadline, marking a milestone for advanced nuclear power, though commercial electricity generation remains years away.

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#criticality

Antares Achieves Criticality of Mark-0 Reactor

Hacker News Top ↗ · 2026-06-30 Cached

Antares achieved initial criticality of its Mark-0 microreactor at Idaho National Laboratory, marking the first private advanced reactor to reach this milestone under the DOE Reactor Pilot Program.

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#criticality

@k_solidified_: https://arxiv.org/abs/2106.10165 All of humanity should read this

X AI KOLs Timeline ↗ · 2026-06-24 Cached

This book develops an effective theory for deep neural networks, showing that their predictions are nearly-Gaussian and governed by the depth-to-width ratio, and introduces representation group flow to analyze signal propagation and learning dynamics.

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#criticality

Small modular nuclear reactor reaches criticality in first test

Ars Technica ↗ · 2026-06-05 Cached

A small modular nuclear reactor using TRISO fuel pellets has reached criticality in its first test, validating the company's modeling and safety data.

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#criticality

@snowboat84: https://x.com/snowboat84/status/2062686432335184321

X AI KOLs Timeline ↗ · 2026-06-05 Cached

This article explores the deep connections between physics and deep learning, analyzes the isomorphism of phenomena such as Scaling Law and emergence with concepts like critical scaling laws and phase transitions in physics, and reviews the current status and prospects of applying physical methodologies in AI.

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