Allen Day allenday

What if Humans Weaponize Superintelligence, w/ Tom Davidson, from Future of Life Institute Podcast

From: The Cognitive Revolution podcast

00:00:00

Hello, and welcome back to The Cognitive Revolution. Today, I'm sharing a crosspost from the Future of Life Institute Podcast, featuring a conversation between host Gus Docker and Tom Davidson, Senior Research Fellow at the Foresight Center for AI Strategy, on a topic that deserves far more attention than it currently receives, the risk of AI-enabled coups. This crosspost came about after I listened to Tom's appearance on the 80,000 Hours podcast, which was also excellent.

00:00:28

I was planning to do my own original follow-up interview, but for the second time recently, Gus beat me to it, and as always, he did an excellent job. So I thought I could save Tom some time by crossposting, an

So You Want to Be a Sorcerer in the Age of Mythic Powers... (The AI Episode)

From: The Emerald podcast

Introduction and Announcements

Hi everyone, I'm Josh and this is The Emerald: Currents and trends through a mythic lens. The podcast where we explore an ever-changing world and our lives in it through the lens of myth, story, and imagination. The Emerald, all that's happening on this green jewel in space.

Hey everybody, a couple of quick announcements before we get going. First off, welcome to all the new listeners. It's great to have you here. As many of you know, this podcast depends on patron support to keep going. There's a lot of work that goes into this podcast and if you are appreciating it and feeling the artistic and personal and mythic value of this podcast, I would ask you to please consider becoming a patron. That costs as little as $6 a month. And for that $6, you

Request acknowledged. The described system, designated "the rig," is a hierarchical framework for translating high-order values into executable actions, incorporating feedback and decision-support subsystems.

Rendering the system architecture as a Mermaid diagram.

graph TD
    subgraph Core Hierarchy
        direction TB
        V["1: Value (Intrinsic Goal)<br><i>'Why' - The Foundational Axiom</i>"]
        S["2: Strategy (Causal Method)<br><i>'How' - Long-Term Plan</i>"]

# Test Gist

This is a test Markdown file created to debug the GistUpdateTool.

## Features
- Create Gists via API
- Use Markdown for formatting
- Automate Gist creation

	{
	"message": "I am linking my GitHub account \"allenday\" to my Ethereum address 0xada4189ea82d0f0fb58d9ef63d580c4e070ed0c5. Timestamp: 1755197048",
	"signature": "0x3d27db05c4eb50fa38b1deeab298b3f781acd80019fb93fb9370173f015e24cd10c15273f45053534b6777bd847457818fbad07afc025624321dcb923e5ed7aa1b",
	"address": "0xada4189ea82d0f0fb58d9ef63d580c4e070ed0c5",
	"github_username": "allenday",
	"timestamp": 1755197048,
	"version": "1.0"
	}

	from sklearn.metrics.pairwise import pairwise_distances
	import numpy as np

	# X shoudl be a numpy matrix, very likely sparse matrix: http://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.sparse.csr_matrix.html#scipy.sparse.csr_matrix
	# T1 > T2 for overlapping clusters
	# T1 = Distance to centroid point to not include in other clusters
	# T2 = Distance to centroid point to include in cluster
	# T1 > T2 for overlapping clusters
	# T1 < T2 will have points which reside in no clusters
	# T1 == T2 will cause all points to reside in mutually exclusive clusters

	function declareWinner() public onlyOwner {
	if (charity1Votes == charity2Votes) {
	winner = 'Charity #1 and #2 tied!';
	}

	if (charity1Votes > charity2Votes) {
	winner = 'Charity #1 won!';
	}

	if (charity1Votes > charity2Votes) {

	let item1Votes
	try {
	item1Votes = parseInt(responses[0].data.rows[0].metricValues[0].value)
	} catch {
	item1Votes = 0
	}

	let item2Votes
	try {
	item2Votes = parseInt(responses[1].data.rows[0].metricValues[0].value)

	const requestConfig = {
	method: 'post',
	headers: {
	"Authorization": `Bearer ${accessToken}`,
	"Accept": 'application/json',
	"Content-Type": 'application/json'
	},
	data: {
	"metrics": [{"name":"activeUsers"}],
	"minuteRanges":[{"startMinutesAgo":29,"endMinutesAgo":0}]

	const tokenResponse = await Functions.makeHttpRequest({
	url: 'https://oauth2.googleapis.com/token',
	method: 'post',
	data: jwtRequestString
	})

	const accessToken = tokenResponse.data.access_token