Weekly Recap 2020-07-18

Log of things seen in week 2020-07-11 to 2020-07-18 (updated mid week)

Weekend Reading

New section collecting links below into some common themes

Individuality and causal inference

Ethereum Virtual Machine assembly

Blockchain Blockchain Blockchain

The Infinite Machine by Camila Russo is out now

Michael Egorov of Curve inteview on how a decentralized stablecoin exchange got started

iearn.finance on Yield Farming, yield aware AMMs and yield stablecoins

Verification of tken based systems

10x better fixed point math in Solidity via ABDK libraries

Synthetix past, present and future interview

Synthetic assest explained

Aragon Developer Portal - tools for creating DAOs

An Analysis of Uniswap Markets

Metamask version 8 was released.

@CamiRusso “Total ERC20 tokens market cap surpassed ETH market cap for the first time.”

EVM assembly: How does the EVM work? and Diving into the EVM, DPart 2, Part 3. Also How to decipher a method call and the future of eWASM.

How to choose the right Curve pool - I just realised the payoff is very pennies and steamroller if any of the stablecoins slip against the peg.

Brownie 1.10.0 released - similar to Truffle framework but in Python

AI / ML / Math

A Ghost in the Figures blog by Arnaldo Rodriguez-Gonzalez - via @Arnaldo_AGITF tweet “what features cause deterministic dynamical theories derived from stochastic phenomena to fail?”

Laurence Moroney - “Just finished the second draft (implementing tech feedback) of ‘AI and ML for Coders’”

Boston Dynamics robot gymnastics

Learning a shared policy to train multiple agents

Radial basis functions ““performs interpolation and approximation by solving a linear system. In some cases (e.g. Gaussian and polyharmonic), corresponds to regression in a reproducing Hilbert space.”

Judea Pearl recommended looking at Causal Reinforcement Learning from ICML 2020

Papers with Code Methods on NVAE, Submanifold Convolution, Interpretability, PointRend

Google OR-Tools “is an open source software suite for optimization, tuned for tackling the world’s toughest problems in vehicle routing, flows, integer and linear programming, and constraint programming.”

Quanta Interview with Donald Knuth

TF-Lite self driving car demo

TaBERT for understanding queries over tabular data and predictive database queries. Idea: if we regard blockchain smart contracts as essentially database stored procedures is this a use case for AI in smart contracts?

@hardmaru ““Neuroevolution of Self-Interpretable Agents” won a best paper award at #GECCO2020 Trophy”

Modern latent variable models and variational inference

Edges computing

Texture Synthesis

Tim Harford has a new book coming out

Speeding up neural ODEs

What is an Individual? - Quanta article on The information theory of individuality and Answering Schrödinger’s question: A free-energy formulation

What is an Agent?

Efficient AI training on a desktop

Tools

Hosting serverless single page apps:

AWS Copilot

Occult

My definition for this section seems to be hidden knowledge and symbols that don’t result in executable code.

Call of Cthulhu pandemic masks

So Many of Us - more allegations about Warren Ellis