Jonathan Washburn (@JonWashburn)
@JonWashburn
Artist, entrepreneur, researcher, husband and dad.
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The future of AI and LLMs is not bigger datasets.
It is knowing the smallest dataset that forces the whole.
My new arXiv paper proves a canonical test for exactly that:
What finite fragments are enough to certify the hidden structure underneath them.
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AI security plot twist:
New arXiv paper dropped today - researchers tested 7 edge AI accelerators for a new attack class where any normal app can trick the chip into reading or writing protected memory.
6 failed: Google, NVIDIA, AWS...
The survivor...
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My new arXiv paper just dropped and it shows thermodynamics is downstream of logic.
If you replace the concept of physical energy with a simple cost of distinguishability, J(x) = cosh(log x) - 1, the Boltzmann-Gibbs distribution emerges exactly.
The same law that gives us α ≈ 1/137 and 3D space also gives us statistical mechanics.
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