M&A STORIES - The Good, The Bad and The Ugly

TRYING TO DEFINE AI IN ALL ITS GUISES - THREAT OR BENEFIT - OPTIMISM OR WORRY

November 17, 2023 Robert Heaton & Toby Tester
TRYING TO DEFINE AI IN ALL ITS GUISES - THREAT OR BENEFIT - OPTIMISM OR WORRY
M&A STORIES - The Good, The Bad and The Ugly
More Info
M&A STORIES - The Good, The Bad and The Ugly
TRYING TO DEFINE AI IN ALL ITS GUISES - THREAT OR BENEFIT - OPTIMISM OR WORRY
Nov 17, 2023
Robert Heaton & Toby Tester

In the last episode, the dynamic duo (Rob and Toby) started to talk about the emergence of AI, and this week, we continued the conversation to try and put some definition to AI.  And we also tried (but failed) to stay grounded and not get dragged into the stratosphere around AI.

Anyway, this week's podcast was more serious than others as we sub-categorised AI into Machine Learning, Deep Learning, Narrow AI, General AI and Super AI; and that's probably just touching the surface.

We also tried to understand our personal position (as intelligent laypersons) on whether we were optimistic about AI's potential or deeply concerned about some of the dangers that AI might pose. And that ranged from the benefit to humanity as a whole (imagine AI bringing education to everyone irrespective of race, or social standing) right through to AI being harnessed for personal gain by the super-wealthy and politically powerful. And there's the easy leap from trying to define AI into a stratosphere discussion in the space of a few minutes.

The good news is we recognized our distraction and solemnly promised that we would return to AI basics and discuss its use and potential use in M&A transactions. That's next week's topic so tune in to find out if we managed to contain ourselves.

Show Notes

In the last episode, the dynamic duo (Rob and Toby) started to talk about the emergence of AI, and this week, we continued the conversation to try and put some definition to AI.  And we also tried (but failed) to stay grounded and not get dragged into the stratosphere around AI.

Anyway, this week's podcast was more serious than others as we sub-categorised AI into Machine Learning, Deep Learning, Narrow AI, General AI and Super AI; and that's probably just touching the surface.

We also tried to understand our personal position (as intelligent laypersons) on whether we were optimistic about AI's potential or deeply concerned about some of the dangers that AI might pose. And that ranged from the benefit to humanity as a whole (imagine AI bringing education to everyone irrespective of race, or social standing) right through to AI being harnessed for personal gain by the super-wealthy and politically powerful. And there's the easy leap from trying to define AI into a stratosphere discussion in the space of a few minutes.

The good news is we recognized our distraction and solemnly promised that we would return to AI basics and discuss its use and potential use in M&A transactions. That's next week's topic so tune in to find out if we managed to contain ourselves.