лучше впасть в нищету, голодать или красть
чем в число блюдолизов презренных попасть
лучше кости глодать, чем прельститься сластями
за столом у мерзавцев, имеющих власть
@tracewoodgrains Extreme example (infamous in my tribe) is SBF, the guy who learned from EAs to grab all the power he could and then *surprise* got corrupted by it in the process achieving literally none of his (I believe once genuinely wanted) goals.
The tale as old as time.
@tracewoodgrains I feel this is a folly associated with EAs and many rationalists in general - they for some strange reason fail to model their own potential misalignment (with whatever goals they have at the modeling moment); and so prefer "singleton" ideas to any sort of distribution of power.
@ameensol I do not understand, do these rules allow checking something that is not directly checkable on EVM? Or is the idea that these will be hidden from the hacker?
@sphere_homotopy Are there any proofs of this statement that do not directly use topological invariants? Like, I wouldn't count "remove a point, check simply connectedness", "embed S^1, use Jordan lemma" and "embed S^2, use Borsuk-Ulam" as fundamentally different...
Obviously no shade on the authors they are great and this is significantly different from what I suggested, it is just a mental note for me that ideas that I have actually need to be written down and posted on eprint .
"The thing I joked about in 2023 gets reinvented and published" keeps happening. Though this is very neat; my proposal back then was to cut off top layers and replace them with KZG :))
Hash-based vector commitments are a key primitive, but we only really have one construction: Merkle trees.
MTs are great, but have a key issue: opening proofs need logN hashes.
This adds up when we open many points (eg hash-based pfs)
In a recent paper, we ask: can we do better?
I'm very familiar with this Alice who had an affair with Jensen. I often see her and someone named Bob passing secret information back and forth in cryptography articles. She must be a spy.