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Post by Dr Singularity on X

Dr Singularity@Dr_Singularity

10,000x more energy efficient AI soon? Extropic claims that running Diffusion Transition Models (DTMs) on their Thermodynamic State Units (TSUs) could make generative AI up to 10,000x more energy efficient than today’s GPU based methods, according to their simulations.

1.8K likes58 repliesPosted Oct 29, 2025

View the original on X Written by Dr Singularity. Captured Sep 4, 2026.

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50

Viral score

Based on absolute engagement — the platform doesn’t expose follower counts here, so large accounts score higher.

From likes, comments.

Why it worked

Leads with a specific number, which is concrete enough to be worth a second of attention.
Uses concrete numbers instead of vague claims, which makes it credible and quotable.
Short enough to read in full without expanding, which removes a step before the point lands.

The mechanics

Hook: Leads with a number
Structure: Hook → Landing
Style: Conversational paragraphs at a steady pace.
Tone: concrete
Mechanisms: Specificity
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

Topics

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I will soon be introducing a bill to give the public a 50% ownership stake in the largest AI companies in America. This would guarantee that the trillions created by AI are used to improve the lives of all of us — and block oligarch decisions that harm the American people.

We’ve raised $30B in funding at a $380B post-money valuation. This investment will help us deepen our research, continue to innovate in products, and ensure we have the resources to power our infrastructure expansion as we make Claude available everywhere our customers are.

More from Dr Singularity

Big AI progress "DeepSeek figured out how to get 10x better compression using vision tokens than with text tokens. So you could theoretically store those 10k words in just 1,500 of their special compressed visual tokens."

Dr Singularity on AI · ViralLoop