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Extropic

@extropic • 61,383 subscribers

building the ultimate substrate for intelligence

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Anya Rossi

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Hello Thermo World.

Hello Thermo World.

5,642,822 просмотров • 11 месяцев назад

Introducing Z1T: Our first family of transformer-like models made for sparse probabilistic hardware like Z1 Achieving up to 140x energy efficiency gains over GPUs and revealing a new scaling law for sparse transformers Read the blog:

Introducing Z1T: Our first family of transformer-like models made for sparse probabilistic hardware like Z1 Achieving up to 140x energy efficiency gains over GPUs and revealing a new scaling law for sparse transformers Read the blog:

443,553 просмотров • 1 месяц назад

What evolves together fits together. We’re using RL to post-train models for Thermo AI research, accelerating algorithmic discovery for our new species of computer. The first sparks of Thermo RSI, in collaboration with Prime Intellect.

What evolves together fits together. We’re using RL to post-train models for Thermo AI research, accelerating algorithmic discovery for our new species of computer. The first sparks of Thermo RSI, in collaboration with Prime Intellect.

160,551 просмотров • 20 дней назад

If you are attending American Physical Society March meeting, come learn more about thermodynamic computing! Our work on taming non-equilibrium thermal electron fluctuations in silicon is now accepted in Physical Review Applied. Read more here:

If you are attending American Physical Society March meeting, come learn more about thermodynamic computing! Our work on taming non-equilibrium thermal electron fluctuations in silicon is now accepted in Physical Review Applied. Read more here:

198,398 просмотров • 7 месяцев назад

Update on our progress towards building the ultimate substrate for Generative AI

Update on our progress towards building the ultimate substrate for Generative AI

598,618 просмотров • 2 лет назад

Update on our journey scaling thermodynamic computing from 0 to 1 million pbits. Includes a sneak preview of our Denoising Thermodynamic Models (DTM) algorithmic architecture & benchmarks.

Update on our journey scaling thermodynamic computing from 0 to 1 million pbits. Includes a sneak preview of our Denoising Thermodynamic Models (DTM) algorithmic architecture & benchmarks.

300,851 просмотров • 1 год назад

Mini podcast conversation between Garry Tan and our CEO (Gill Verdon) + CTO (Trevor McCourt), discussing our unique approach to computing leveraging the stochastic physics of electrons.

Mini podcast conversation between Garry Tan and our CEO (Gill Verdon) + CTO (Trevor McCourt), discussing our unique approach to computing leveraging the stochastic physics of electrons.

47,507 просмотров • 2 лет назад

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