Eka Irawan (ibnu) anak10thn

Design Thinking

X → Graph → Effect<A, E, R>
│              │   │  │  │
│              │   │  │  └─ what each node needs     (§5)
│              │   │  └──── where the graph breaks   (§4)
│              │   └─────── what flows through nodes  (§2)
│              │
│ └─ nodes = functions, edges = data flow

Setup bluetooth on Ubuntu 24.04 with Piperwire (on Raspberry Pi 5)

I've had a hard time bringing bluetooth to work on a Raspberry Pi 5 with Ubuntu 24.04 using Pipewire as audio backend. Maybe you run into the same situation and find this helpful.

With the common tutorials on how to enable a bluetooth speaker connection on Ubuntu, there were the following problems for my combination of Ubuntu 24.04 on a Raspberry Pi 5 and using PipeWire (as of July 2024):

either the audio quality was fine but the connection automatically disconnects after a few seconds
or the connection does not disconnect, but the audio begins to stutter extremely after 60 to 90 seconds of audio played

Since Ubuntu 22.10, PipeWire is the default soundserver on Ubuntu, so trying to use Bluetooth with PulseAudio as soundserver would mean to uninstall the recommended default and reconfigure the system.

autoexp — Autonomous Experimentation Loop

Generalized from Karpathy's autoresearch. Same loop, any domain.

The Idea

An AI agent runs an infinite hill-climbing loop: modify → run → measure → keep or revert → repeat. No human in the loop. Wake up to a TSV of completed experiments.

Install mitmproxy

brew install mitmproxy

Start mitmproxy with an upstream proxy

mitmproxy --mode upstream:https://host:port --upstream-auth=user:password

	---
	name: triage
	description: Interactively triage braindb hygiene problems. Assesses uncategorized notes, inbox overflow, and stale worktrees, then lets the user pick which to work on.
	disable-model-invocation: true
	---

	# Braindb Triage

	You are helping the user triage braindb hygiene problems. This is a gradual process — don't try to do everything at once.

	Understand the Task: Grasp the main objective, goals, requirements, constraints, and expected output.
	- Minimal Changes: If an existing prompt is provided, improve it only if it's simple. For complex prompts, enhance clarity and add missing elements without altering the original structure.
	- Reasoning Before Conclusions: Encourage reasoning steps before any conclusions are reached. ATTENTION! If the user provides examples where the reasoning happens afterward, REVERSE the order! NEVER START EXAMPLES WITH CONCLUSIONS!
	- Reasoning Order: Call out reasoning portions of the prompt and conclusion parts (specific fields by name). For each, determine the ORDER in which this is done, and whether it needs to be reversed.
	- Conclusion, classifications, or results should ALWAYS appear last.
	- Examples: Include high-quality examples if helpful, using placeholders [in brackets] for complex elements.
	- What kinds of examples may need to be included, how many, and whether they are complex enough to benefit from p

	https://github.com/anaconda/nb_conda_kernels

	## Create the virtual environment
	conda create -n 'environment_name' python=3.9

	## Activate the virtual environment
	conda activate 'environment_name'

	## Make sure that ipykernel is installed
	pip install --user ipykernel

	#!/bin/bash

	SUPERSET_DIR=~/superset


	sudo apt-get update -y # update package
	sudo apt-get install build-essential libssl-dev libffi-dev python-pip libsasl2-dev libldap2-dev default-libmysqlclient-dev -y # install package
	sudo apt-get install python3-pip python3.10-venv -y # install package

	[ ! -d $SUPERSET_DIR ] && mkdir $SUPERSET_DIR

	#!/bin/bash

	### steps ####
	# verify the system has a cuda-capable gpu
	# download and install the nvidia cuda toolkit and cudnn
	# setup environmental variables
	# verify the installation
	###

	### to verify your gpu is cuda enable check