supertestnet

Burrow

Burrow is a proposal for a federated coinpool on top of hedgehog channels. The coinpool can have a bunch of cool properties:

• a single-honest-party assumption, so the federation can't rug any user unless the keyholders in the federation are all scoundrels

• users can onboard into the pool without an on-chain transaction (e.g. maybe you send in coins via lightning, or maybe another user gives you your first coins from within the pool)

• every onboarded user gets their own wallet interface with their own personal balance and Send/Receive buttons

cpursley

PostgreSQL is Enough

• Simplify: move code into database functions
• Just Use Postgres for Everything
• PostgreSQL is the worlds’ best database
• Postgres is eating the database world
• Hacker News discussion

Background and Cron Jobs

rain-1

This worked on 14/May/23. The instructions will probably require updating in the future.

llama is a text prediction model similar to GPT-2, and the version of GPT-3 that has not been fine tuned yet. It is also possible to run fine tuned versions (like alpaca or vicuna with this. I think. Those versions are more focused on answering questions)

Note: I have been told that this does not support multiple GPUs. It can only use a single GPU.

It is possible to run LLama 13B with a 6GB graphics card now! (e.g. a RTX 2060). Thanks to the amazing work involved in llama.cpp. The latest change is CUDA/cuBLAS which allows you pick an arbitrary number of the transformer layers to be run on the GPU. This is perfect for low VRAM.

• Clone llama.cpp from git, I am on commit 08737ef720f0510c7ec2aa84d7f70c691073c35d.

rain-1

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.

kcalvinalvin

Add

Utreexo accumulator is a collection of proper merkle trees. All the merkle trees have 2 children or none.

Below is an example of adding 7 leaves to the tree. You can run the code I used to generate this at https://go.dev/play/p/um5263SDk59

This is an accumulator with 1 leaf. It has 1 root, which is also a leaf.

NickCao

{ lib
, stdenv
, fetchFromGitHub
, util-linux
, git
, cacert
, autoconf
, automake
, curl
, python3

knaeckeKami

import "dart:async";
import "dart:isolate";

import 'package:ferry/ferry.dart';
import 'package:ferry/ferry_isolate.dart';
import "package:gql_error_link/gql_error_link.dart";
import "package:gql_exec/gql_exec.dart";
import "package:gql_http_link/gql_http_link.dart";
import "package:gql_link/gql_link.dart";
import "package:gql_transform_link/gql_transform_link.dart";

antifuchs

# To set this up, first get tailscale working in an isolated linux shell:
#  1. sudo systemctl stop tailscaled.service
#  2. tailscaled -port 9993 -state tailscale-luks-setup.state -tun userspace-networking -socket ./tailscaled.sock
#  3. tailscale -socket ./tailscaled.sock up -hostname HOSTNAME-luks
#  4. tailscale -socket ./tailscaled.sock down
#  5. ctrl-c out of tailscaled
#  6 sudo systemctl start tailscaled.service
#
# Then add the .state file to your machine secrets and pass its path as tailscaleStatePath.

kylebarron

import geopandas as gpd
import pandas as pd
import pyarrow as pa
import pyarrow.feather as feather
import pyarrow.parquet as pq
import pygeos
import pyogrio

# https://ookla-open-data.s3.us-west-2.amazonaws.com/parquet/performance/type=mobile/year=2019/quarter=1/2019-01-01_performance_mobile_tiles.parquet

eatonphil

# th30z@u1310:[Desktop]$ psql -h localhost -p 55432
# Password: 
# psql (9.1.10, server 0.0.0)
# WARNING: psql version 9.1, server version 0.0.
#          Some psql features might not work.
# Type "help" for help.
# 
# th30z=> select foo;
#  a | b 
# ---+---