Thermodynamic Computing Cuts mRNA Codon Optimization Energy by 1M×

https://arxiv.org/abs/2606.17327

Thermodynamic computing isn't just for AI.

It will be an unprecedented tool for simulating the biological world.

New paper: TSUs can run mRNA codon optimization at ~1M× lower energy than GPUs. Estimates grounded in real hardware.

Paper + THRML code : https://docs.thrml.ai/en/latest/papers/codon-optimization/

@extropic Killer paper. Love tracking your progress. Just fed your thrml repo to my agent as well.

Heads up -- you have a typo where you spell it Condon like the Hollywood director instead of codon.

@extropic 热力学计算如果能在生物模拟里跑出能耗优势，意义不止是 AI 加速。关键要看真实硬件规模化后，精度、成本和开发生态能不能跟上。

@beffjezos So much more 🤫

@extropic 👀

@extropic nice!

@extropic GPUs sweating 👀🔥

@extropic @beffjezos Bro stop publishing and start achieving

@beffjezos nice!

@beffjezos Each moment is a new chapter of evolution. May we embrace the future with open hearts, expanded awareness, and gratitude for the journey ahead.

I'd like to think Prigogine's transformed energy, wandering the Universe, is smiling knowing his far from equilibrium thermodynamics can at last be simulated as computational dissipative structures in real time. All the complexity, differential equations, bifurcations, dynamical attractors. The validation of his life's work....

@beffjezos finally someone bringing physics back into bio compute 👀 can't wait to see real world demos

@beffjezos The idea of fractal heterodimericism (or holarchic opponent processing) might help. I asked Grok to explain the relevance so anyone interested can continue the conversation:

https://x.com/i/grok/share/f736b537592648dca673861b29ee783e

@extropic $XTRO

@beffjezos this is actually insane

the implications for drug discovery alone are wild