Cem Turan cem2ran

PostgreSQL is Enough

See the new site: https://postgresisenough.dev

New `sign`s of Satoshi?

A few days ago, another sensationalist news story emerged, promising new clues regarding the true identity of Satoshi Nakamoto: Allegedly, an old message signed by Hal Finney had surfaced (published by Martin Shkreli in this blog post), suggesting that Paul Le Roux was the person behind the synonym of Satoshi Nakamoto.

I briefly highlight the facts surrounding this story:

The signed message:

Right away, yes indeed, a valid signed message has surfaced:

On implementing a client for feature flags in your UI codebase

This document isn't an explainer on Feature Flags, you can find that with my amateur writeup, or literally hundreds of better writeups out there.

This document is also agnostic to the choice of service you'd use: LaunchDarkly or split.io or optimizely or whatever; that's orthogonal to this conversation.

Instead, this document is a list of considerations for implementing a client for using Feature Flags for User Interface development. Service providers usually give a simple fetch and use client and that's it; I contend that there's a lot more to care about. Let's dive in.

To encourage usage, we'd like for the developer experience to be as brutally simple as possible. So, this should be valid usage:

The nixos.org website suggests to use:

sh <(curl -L https://nixos.org/nix/install)

For macOS on Intel (x86_64) or Apple Silicon (arm64) based macs, we need to use

sh <(curl -L https://nixos.org/nix/install) --darwin-use-unencrypted-nix-store-volume

	from diffusers import DiffusionPipeline, StableDiffusionXLImg2ImgPipeline
	import torch

	model = "stabilityai/stable-diffusion-xl-base-1.0"
	pipe = DiffusionPipeline.from_pretrained(
	model,
	torch_dtype=torch.float16,
	)
	pipe.to("cuda")
	pipe.load_lora_weights("model/", weight_name="pytorch_lora_weights.safetensors")

	// A handy bookmarklet to display comments from the top-rated Hacker News thread related to the current page
	// Written with the help of GPT-4

	javascript:(function() {
	const createCommentElement = (comment, depth) => {
	const commentWrapper = document.createElement('div');
	commentWrapper.style.paddingLeft = (depth * 20) + 'px';
	commentWrapper.style.marginBottom = '10px';
	commentWrapper.style.marginLeft = '10px';
	commentWrapper.style.color = '#333';

	import { createComponent, Stack, Text, Theme, Events } from '@jsxui/react'

	export type ButtonProps = {
	title: string
	background: Theme.Color
	color: Theme.Color
	stroke: {
	align: 'inside' \| 'outside'
	size: number
	color: Theme.Color

	export type Await<T> = T extends PromiseLike<infer U> ? Await<U> : T;
	export type IsPromise<T> = PromiseLike<infer U> ? true : false;

	export type Length<T> = T extends { length: infer L } ? L : never;

	export type KeysOfType<O, T> = {
	[K in keyof O]: O[K] extends T ? K : never;
	}[keyof O];

	// ConvertLiterals would convert literal types like `1337` to their base type like `number` if set to true

Cem Turan cem2ran

PostgreSQL is Enough

New signs of Satoshi?

The signed message:

On implementing a client for feature flags in your UI codebase

New `sign`s of Satoshi?