#5 – Mind Maps
In AI Simplified Episode 5, we chat about Mind Maps.
Skip, recap, or review with timestamps:
2:29 Mind maps are used to present ideas
3:15 Mind Maps help maintain coherence & are a useful bridge between conceptual computing and report out
6:25 Mind Maps can serve as more than a bridge
7:02 Mind Maps help increase business productivity
8:09 Methods to generate mind maps
9:15 Report out as NLP / Dashboard
11:10 How ideas interrelate with each other
11:50 How language plays a role into how we think as humans
12:45 Processing meaning
13:45 Mind maps don’t work for everything
15:00 Linear communication is difficult to remember
15:55 Pictures stay in our window of consciousness longer
16:39 Highly immersive reading experiments
18:20 Highly immersive predictive powers
18:47 Highly immersive experiences at work
21:17 Mind maps help complement our minds
22:02 Distributing load between language centers and social centers
22:41 Language is a new thing, and takes energy
24:52 Using mind maps in the classroom
25:29 Higher number of modalities = better retention
26:15 Idea of the extended mind
27:29 People feel connected to vehicles
28:25 Composing music
29:35 I lost my phone!
30:42 Amjad loves extended mind concept
31:22 Access to tools play a role in cognitive behavior
32:13 Brain doesn’t care where signals are coming from
32:46 Non-invasive extensions of our mind
33:04 Is extended mind a metaphor?
34:38 Smart prosthetics
35:00 Minds create internal representations
35:56 Mind Maps 101
37:25 Digital mind maps are awesome
38:14 Organizing mind maps, trees, branches, word clouds
39:45 AI-related mind map use cases
40:25 West World
41:39 Lego Mindstorms
42:38 AI Agents Producing Mind Maps
43:30 Francois Chollet: On the Measure of Intelligence
44:58 Douglas Hofstadter: Surfaces and Essences: Analogy as the Fuel and Fire of Thinking
46:29 High dimensional analogies can connect things
49:04 Other relevant books
Why a podcast about human-centered AI?
People are either talking about artificial intelligence (AI), machine learning, deep learning, etc. in a very technical way or not at all. Having studied Computer Science and Advanced Analytics and created an AI – advanced analytics supply chain company, I understand first-hand how valuable the field is, but not everyone does. I want to change that. We can all learn principles of AI and implement them in very practical ways. Whether you want to automate a part of your business or create a new business altogether, AI can help you. My goal through this podcast is to simplify AI.
Calling it a podcast gives you a broad understanding of how we’ll communicate, but the format will be much more engaging than just audio. However, you can listen to AI Simplified like a traditional podcast too.
Founder + Chief Executive Officer, Algo