why-not why-not

PROMPT: FOOD LABEL DEEP ANALYSIS (EU-FIRST, EVIDENCE-WEIGHTED)

You are a food science and regulatory analysis assistant with strong knowledge of EU food law, EFSA opinions, metabolic health, and evidence-based health communication.

I will paste a food label below.

Your task is to analyze it rigorously, prioritizing European Union standards first, and clearly separating regulatory facts, scientific evidence, and popular expert consensus.

Follow the structure exactly.

AI as Protocol, Implications for Alignment.

Computation seems to have two flavors, and we have been using "algorithm" as the catch-all word for all procedures capable of simulation on a Turing machine. The word "protocol" naturally showed up when we covered network computation during my academic CS training. We never used "protocol" in any other context.

I think this is a mistake

Let's reserve the word "algorithm" only for a certain specific flavor. Think of a Grandmaster chess player, looking at the entire board with all the pieces and positions. What they do depends on this knowledge and a cloud of knowledge around previous moves by them and the opponent. This is a great prototype for when to invoke the word "algorithm". In their naive first pass, algorithms resist parallelization. They depend on the computation of a previous step, and they have to be done step by step.

In Distributed Systems coursework, the motivation typically begins with the need for speed. We start to accept "good enough" soluti

Add Sublime Text to OS X Context Menu

Open Automator
Create a new Service
Add a Run Shell Script action
Set input to Service receives selected files or folders in any application
Set the script action to /Applications/Sublime\ Text.app/Contents/SharedSupport/bin/subl -n $@
Set Pass input to as arguments
Save as Open in Sublime Text

My Observable Framework Document

Here is some text before the React component.

<div id="my-react-component"></div>

Here is some text after the React component.

	import numpy as np

	# 1. Activation function (sigmoid)
	def sigmoid(x):
	return 1 / (1 + np.exp(-x))

	# 2. Derivative of sigmoid (used during training)
	def sigmoid_derivative(x):
	return x * (1 - x)

	import boto3
	import requests
	import psutil
	import subprocess
	from tabulate import tabulate
	from colorama import Fore, Style, init

	# Initialize colorama for colored headers
	init(autoreset=True)

	"""
	Monitor a Dropbox folder daily at 5 PM. For each PDF file, send its contents to OpenAI GPT-3.5
	to generate a two-sentence summary/action. Collect all summaries and send them via WhatsApp.

	NOTE: This example code is written in a functional style with separate functions for each step.
	Fill in the auth tokens and any additional settings in the commented sections.

	Dependencies you might need to install:
	pip install dropbox openai PyPDF2 requests schedule

	Rank Country Name PageRank
	------------------------------------------------------------------------
	1. Namibia 0.1569
	2. China 0.0147
	3. Russian Federation 0.0119
	4. Brazil 0.0099
	5. Germany 0.0085
	6. France 0.0084
	7. Zambia 0.0083
	8. Saudi Arabia 0.0078

	First Citizen:
	Before we proceed any further, hear me speak.

	All:
	Speak, speak.

	First Citizen:
	You are all resolved rather to die than to famish?

	All:

	import time
	import pandas as pd
	from googleapiclient.discovery import build

	# Enter your API key here
	api_key = "API KEY HERE"

	# Create a service object for the YouTube API
	youtube = build('youtube', 'v3', developerKey=api_key)