It’s been 20 episodes now on this journey as part of exploring my ‘technocentric’ view of human progress and innovation, where both ‘artefactual’ and ‘institutional’ developments fall under the purview of the word ‘technology’ defined in its broadest sense. We started at the ‘very beginning’ by exploring the first tools devised by man, made of what we’d now think of as crude stone. Let’s step back and see how far we have come and what lies ahead.

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Audio generated by AI

This is an AI-generated typical 2-person dialog that summarizes the core ideas I covered in my 10-part ‘econ’ series (2024) about AI and Economics.

Reading the actual articles themselves can be even more enjoyable, I promise.

This is a brief dialog between Bryan and Brenda that summarizes the core ideas of my article of the same title in my 10-part ‘conc’ series (2024) about Fundamental Concepts in Generative AI.

The whole series, and each article therein, can be found using the links below:

AI Fundamental Concepts

* Are Language Models just Parrots?

* What is AI - The improbable story of the probabilistic revolution

* What is the Meaning of?

* How AI does meaning, semantic space

* It’s Meaning Cats and Dogs

* The innards of AI: Where meaning lives, semantic distance

* To Geek or not to Geek

* The idea behind structure, structured data

* Seek and Thou Shalt Find

* How AI finds what you want: retrieval-augmented generation

* Ask and Ye Shall Receive

* How to get the best out of the AI genie: prompt engineering

* Of Parrots and Parallel Worlds

* From next-word prediction to coherent language construction: AI chatbots

* When AI goes to Work

* Betwixt creativity and consistency: Enterprise AI challenges, evaluations (evals)

* Putting it All Together: AI in Action

* From Generative AI theory to reality using a real-world example

* The Complete AI Canvas: Our Concept Journey in Review

* Recapping our journey through the essential concepts of Gen AI

PS: Bryan and Brenda and the content of their dialog are all AI-generated (NotebookLM by Google) all based on my original work.

Be ready for a high dose of meta irony as this is an AI-generated summarization of my explanation of how AI works with the AI voices using ‘we’ to mean humans!

Reading the actual articles themselves is even more fun, I promise.

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