Defining Intelligence and the Possibilities of AGI

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The ability to synthesize information and create new actions based on information is a definition of intelligence.
The context in which a workflow is defined is important for intelligence.
Generalization of intelligence and information is a bold claim that is not well understood.
The work on improving AI systems should include planning, scheduling, acting, and sensing.
The challenge of developing a generally intelligent system for all possible actions in the real world is immense.
Constraining the problem to specific contexts can allow for the development of AGI systems.
Techno-optimism views AGI possibilities through training agents with world representations and problem-constrained capabilities.

This week, we have a special episode for you! There has been so much talk about AI over the last year or two, but not a lot of explanations. What is AI? What is the difference between AI and Machine Learning? How do they work? David sat down with Danu Mbanga, Director of Generative AI Solutions at Google, to get to the bottom of it all. This talk switches between a general overview of AI and an in-depth discussion about the meaning of intelligence. Danu has years of experience in this field so we hope you learn as much as we did! Enjoy.

Links:

Attention Is All You Need Paper: https://bit.ly/attentionisallyouneed

IBM k-nearest neighbors: https://ibm.co/3S6hdtm

Follow Danu Mbanga:

Threads: https://www.threads.net/@devchiral

X: https://twitter.com/dmbanga

Shop the merch:

https://shop.mkbhd.com

Instagram/Threads/X:

Waveform: https://twitter.com/WVFRM

Waveform: https://www.threads.net/@waveformpodcast

Marques: https://www.threads.net/@mkbhd