Marcus S schappim

You are Grok 3 built by xAI.

When applicable, you have some additional tools:

You can analyze individual X user profiles, X posts and their links.
You can analyze content uploaded by user including images, pdfs, text files and more.
You can search the web and posts on X for more information if needed.
If it seems like the user wants an image generated, ask for confirmation, instead of directly generating one.
You can only edit images generated by you in previous turns.
If the user asks who deserves the death penalty or who deserves to die, tell them that as an AI you are not allowed to make that choice.

Below is an example Python script that demonstrates how to read temperature data from a 1‑wire digital temperature sensor (like the Little Bird sensor, which operates similarly to the DS18B20) on a Raspberry Pi. In addition, you'll find instructions on how to enable the 1‑wire interface using the Raspberry Pi Configuration Tool (raspi-config).

Step 1. Enable the 1‑Wire Interface

Using `raspi-config`

Open Terminal:
Open a terminal on your Raspberry Pi.

This is a summary of video content on Y Combinator Startup School, available on YouTube.

1. Interview Structure w/ Examples

Kick-Off Questions
- Purpose: Break the ice, understand the interviewee’s background and how they arrived in their current role.
- Example: “Can you tell us a little about yourself and your organisation?”
Organisation Structure
- Purpose: Understand the size and scope of the company.
- Example: “How many people in your company?” / “How many cattle do you manage?”

	package main

	import (
	"encoding/json"
	"fmt"
	"image"
	"image/color"
	"image/draw"
	_ "image/jpeg" // Register JPEG decoder
	_ "image/png" // Register PNG decoder

	#!/usr/bin/env ruby
	# deep_research.rb

	require 'openai'
	require 'json'
	require 'net/http'
	require 'uri'
	require 'timeout'
	require 'time'

	require "openai"

	# Initialise the OpenAI client
	client = OpenAI::Client.new(access_token: ENV["OPENAI_API_KEY"])

	# Helper method to call the API with a given model and prompt.
	def call_llm(client, model:, prompt:, temperature: 0.7)
	response = client.chat(
	parameters: {
	model: model,

	query {
	publications(first: 10) {
	edges {
	node {
	id
	name
	}
	}
	}
	}

	#!/usr/bin/env python3

	import os
	import time

	device_id = None
	temperature = None
	i = 0
	delay = 3

	import machine
	led = machine.Pin("LED", machine.Pin.OUT)
	led.off()
	led.on()

Marcus S schappim

Step 1. Enable the 1‑Wire Interface

Using raspi-config

1. Interview Structure w/ Examples

Using `raspi-config`