This video introduces Substrate—An Open-source Framework for Human Understanding, Meaning, and Progress. 

Substrate is a crowdsourced project designed to enhance understanding, communication, and action in order to move humanity forward.

Read the Article:
📃 https://danielmiessler.com/p/introducing-substrate

TOPICS:
Introduction to Substrate (00:00:00)
Components of Substrate (00:01:18)
GitHub Repository Overview (00:02:33)
Purpose of Substrate (00:04:36)
Argument Visualization Example (00:05:32)
Graphical Representation of Arguments (00:07:55)
Trust in Sources (00:09:56)
Strengthening Discussions (00:10:57)
Real-World Use Cases (00:11:54)
Describing Yourself with Substrate (00:12:55)
Learning About Others (00:14:54)
Visualizing Arguments and Claims (00:15:51)
Transparency in Evaluating Claims (00:17:59)
The Tiny Teapot Claim (00:18:54)
Substrate Plus AI (00:20:04)
Automating Science Workflows (00:21:16)
Monitoring Crime and Corruption (00:24:21)
Leadership Accountability (00:29:49)
Companies as Graphs of Algorithms (00:31:56)
Future State Optimization (00:35:47)
Understanding Security Assessment (00:36:41)
Optimizing Processes with AI (00:37:46)
The Purpose of Substrate (00:38:49)
AI's Role in Substrate (00:39:56)
Want to Be Involved? (00:39:56)

REFERENCED RESOURCES:

My 9,000-word Illustrated Essay on Where I Think AI is Heading
🔥 https://danielmiessler.com/p/ai-predictable-path-7-components-2024

The Substrate Project:
⚙️ https://github.com/human-substrate

Follow on X:
🆇 https://x.com/danielmiessler

Subscribe to the newsletter at: 
✉️ https://danielmiessler.com/subscribe

Join the UL community at:
🤝🏻https://danielmiessler.com/upgrade

This video introduces Substrate—An Open-source Framework for Human Understanding, Meaning, and Progress. 
Substrate is a crowdsourced project designed to enhance understanding, communication, and action in order to move humanity forward.
Read the Article: 📃 https://danielmiessler.com/p/introducing-substrate
TOPICS: Introduction to Substrate (00:00:00) Components of Substrate (00:01:18) GitHub Repository Overview (00:02:33) Purpose of Substrate (00:04:36) Argument Visualization Example (00:05:32) Graphical Representation of Arguments (00:07:55) Trust in Sources (00:09:56) Strengthening Discussions (00:10:57) Real-World Use Cases (00:11:54) Describing Yourself with Substrate (00:12:55) Learning About Others (00:14:54) Visualizing Arguments and Claims (00:15:51) Transparency in Evaluating Claims (00:17:59) The Tiny Teapot Claim (00:18:54) Substrate Plus AI (00:20:04) Automating Science Workflows (00:21:16) Monitoring Crime and Corruption (00:24:21) Leadership Accountability (00:29:49) Companies as Graphs of Algorithms (00:31:56) Future State Optimization (00:35:47) Understanding Security Assessment (00:36:41) Optimizing Processes with AI (00:37:46) The Purpose of Substrate (00:38:49) AI's Role in Substrate (00:39:56) Want to Be Involved? (00:39:56)
REFERENCED RESOURCES:
My 9,000-word Illustrated Essay on Where I Think AI is Heading 🔥 https://danielmiessler.com/p/ai-predictable-path-7-components-2024
The Substrate Project: ⚙️ https://github.com/human-substrate
Follow on X: 🆇 https://x.com/danielmiessler
Subscribe to the newsletter at:  ✉️ https://danielmiessler.com/subscribe
Join the UL community at: 🤝🏻https://danielmiessler.com/upgrade

Unsupervised Learning is a Security, AI, and Meaning-focused podcast that looks at how best to thrive as humans in a post-AI world. It combines original ideas, analysis, and mental models to bring not just the news, but why it matters and how to respond.

Unsupervised Learning is a Security, AI, and Meaning-focused podcast that looks at how best to thrive as humans in a post-AI world. It combines original ideas, analysis, and mental models to bring not just the news, but why it matters and how to respond.

Exploring the fascinating intersection of security, technology, and humans.

Unsupervised Learning

Introducing Substrate—An Open-source Framework for Human Understanding, Meaning, and Progress

https://api.omny.fm/orgs/070af456-729b-4a0f-9c09-a6c100397b59/clips/41f2aafe-43bf-4a7a-a9c8-b1c30186a52f/transcript

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