Suddenly the promise of "trust-less" makes no sense, and we are just left with poor performance and immutability of human errors.
415 karma · joined September 9, 2020
Interested in generative models, programming, music and philosophy of mind.
https://github.com/angusturner/
Suddenly the promise of "trust-less" makes no sense, and we are just left with poor performance and immutability of human errors.
There's just too much magic going on, which is the same thing that makes me reluctant to write Vue or Svelte (after reading this)
For the first time in my life I have non-technical friends asking me how to invest in cryptocurrency, and I have to explain to them the real risk that there is a huge speculative bubble right now.
I am seeing the DeFi people reinventing all sorts of synthetics, derivatives and highly leveraged trading instruments in the absence of any regulatory oversight and can't help but wonder when there will be a reality check.
Even more worrying is the prospect that we don't get a price correction soon, lulling more retail investors and institutions to expose themselves to BTC. And when the fallout does happen it will hurt the real economy too (you know, the one that actually produces goods and services with value).
Crazy.
I mean, it does in the sense that local pixels are strongly correlated and a binary tree will captures this. In fact if you add weight-sharing to the K-tree model you can recover 1D convolution with a stride and kernel of 2.
But is this really the right operation for images? Why fixed kernel of 2? I think capsules or some other vector-based operation would make more sense. Perhaps with a learned or dynamic connectivity pattern.