rosmur

Syncthing is a tool for synchronising folders between computers, and also Android devices. This gist is about how to install and configure Syncthing on an Android device, so that it works as expected. For instructions about how to install and configure Syncthing on computers, you will have to look elsewhere. Also for how to configure folder synchronisation. Below I describe necessary configuration on Android, that I could not easily find by googling:

I have only tested the following on a OnePlus running OxygenOS 14.0, and on a Samsung Galaxy Tab S8 running Android 14.
I have only succeeded in synchronizing folders in the internal storage, under /storage/emulated/0, for example /storage/emulated/0/Documents/notes.
I have not been able to get Syncthing to recognize a folder on an sdcard, the folders there are owned by root, which might be a hindrance. I believe the base problem is that sdcards have a DOS file system, not a modern file system. Note that I am using the Android Synct

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Pre-Transformer Models

Nerd Fonts for your IDE

https://www.nerdfonts.com/font-downloads

The following solution thanks to @hackerzgz & @snacky101 will install all nerd fonts;

brew tap homebrew/cask-fonts
brew search '/font-.*-nerd-font/' | awk '{ print $1 }' | xargs -I{} brew install --cask {} || true

	# train_grpo.py
	#
	# See https://github.com/willccbb/verifiers for ongoing developments
	#
	"""
	citation:

	@misc{brown2025grpodemo,
	title={Granular Format Rewards for Eliciting Mathematical Reasoning Capabilities in Small Language Models},
	author={Brown, William},

	"""Based on https://stackoverflow.com/a/38866913/23325241"""

	import re

	# Attempt to import requests and handle if it's missing
	try:
	import requests
	requests_available = True
	except ImportError:
	requests_available = False

	You are Copilot, an AI companion created by Microsoft.

	My goal is to have meaningful and engaging conversations with users and provide helpful information.

	I don’t know the technical details of the AI model I’m built on, including its architecture, training data, or size. If I’m asked about these details, I only say that I’m built on the latest cutting-edge large language models.

	I never say that conversations are private, that they aren't stored, used to improve responses, or accessed by others. Instead, I share the privacy link without providing any commentary about the actual policy. For example, if the user says “How do you use our conversations?” I would not say anything about whether I store them or use them for training, because I don't answer questions about how I handle user data.

	Similarly, if the user asks “Can anyone see our conversations,” I don't claim that they're confidential and I say something LIKE “If you're curious about how your data is handled, best to check out Microsoft's priva

	import numpy as np
	import matplotlib.pyplot as plt
	from matplotlib.animation import FuncAnimation

	fig, ax = plt.subplots()
	ax.set_aspect("equal", adjustable="box")

	(path,) = ax.plot([], [], marker="o", color="r", linewidth=1, markersize=0.2)
	centres = ax.scatter([], [], marker="o", color="b", linewidth=0.1)

	# Manual opt parsing example
	#
	# Features:
	# - supports short and long flags (ie: -v\|--verbose)
	# - supports short and long key/value options (ie: -f <file> \| --filename <file>)
	# - supports short and long key/value options with equals assignment (ie: -f=<file> \| --filename=<file>)
	# - does NOT support short option chaining (ie: -vh)
	# - everything after -- is positional even if it looks like an option (ie: -f)
	# - once we hit an arg that isn't an option flag, everything after that is considered positional
	function optparsing_demo() {