> The U.S. government has said that all federal agencies will use quantum-resistant cryptography by 2035
I wonder what the current pace and effort of adopting this new cybersecurity paradigm is, and how familiar (AI) agents are with it. And I would assume most countries actively working on it must have amassed encrypted data, not just China and Russia.
Side note: I found the term quantum-resistant instead of quantum-proof a bit amusing. Also it would be better if the article included some references.
Not a fan of subscription hell myself, I plan to use one-time payment for all my products. Implementation wise one time payment is much simpler than setting up smaller payments that cap at a fixed amount.
This is far from what I expected. There is not much related to quantization, pruning, common architectures, precision or benchmarking. For those interested in this topic, I would recommend content from MIT HAN Lab.
I believe that abstraction is recursive in nature which creates multiple layers of abstract ideas leading to new areas or insights. For instance our understanding of continuity and limit led to calculus, which when tied to the (abstract) idea of linearity led to the idea of linear operator which explains various phenomena in the real world surprisingly well.
If it's about teaching and not about efficiency, why not just use plain Python? One could argue it is actually better since students don't have to worry about typing and syntax, and it allows a gentler introduction to commonly used tools like jax and numpy while getting comfortable with the language.
I wonder what the current pace and effort of adopting this new cybersecurity paradigm is, and how familiar (AI) agents are with it. And I would assume most countries actively working on it must have amassed encrypted data, not just China and Russia.
Side note: I found the term quantum-resistant instead of quantum-proof a bit amusing. Also it would be better if the article included some references.