1) How much money is currently flowing through DAOs. @DeepDAO_io stuff. 2) Current distribution of voting rights in DAOs. e.g. a16z.com/2021/08/26/ope… and
2/The premise is funny—Humanity, Capitalism, and Post-Capitalism are in relationship therapy.
Their problem:
-Humanity has outgrown Capitalism
-But Humanity doesn't know what Post-Capitalism looks like
They focus on 4 pillars of post-cap through dialogue, VR, and illustrations.
3/ The four pillars of post-capitalism:
BENTOISM: Zooming out to care about each other and the planet
GENEROSITY: Many of us have enough and can give back
COHERENT PLURALISM: Looking at issues from every angle
NETWORKISM: The rise of internet-enabled decentralized networks
1a/ First, Kobbi Nissim on "Predicate Signaling Out". (PSO)
AFAIU, it is a technical definition of privacy that formalizes the legal requirements of GDPR. (Asks the question—when could an adversary "signal out" a single person/row from a database?)
1b/ I didn't really understand the math of PSO, but some other learnings:
-Differential privacy (DP) and k-anonymity are defined mathematically. Contextual Integrity and Robot Lawyers are defined with formal logic.
-Nissim tried to create a math def of FERPA. It ended up ~= DP.
A great reminder that DEX arbitrage is just the tip of the iceberg—only .1% of total volume. See @BitwiseInvest report for example of CEX. (95% of reported volume is fake!)
Starting with @neha@socrates1024's overview of the "why" for this event:
- Catalyzing a new interdisciplinary academic field to increase signal-to-noise.
- Experimenting with peer review, and how it should interoperate with IRC, forums, Twitter.
As most of us know, computers can predict a wide variety of things from a relatively small amount of data. Some examples:
3/ Big 5 (or OCEAN) personality scores are scientifically backed (unlike say Myers-Briggs), so there are tons of correlations that we already know. e.g. Openness --> Liberal.
This graph shows how AIs predict OCEAN with FB likes. At around ~100, they predict it as well as family.