Artwork for GMoL S2E12 Greeks with Donald Clark
GREAT MINDS ON LEARNINGGMoL S2E12 Greeks with Donald Clark
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At the very origin of our ideas of about learning, as well so much else that defines our culture, lies the extraordinary flowering of thought and discovery centred on Athens from the fifth to the second century BC. This episode takes us back to the very earliest group of thinkers this series will cover, the ancient Greeks.
- 1:02 – Introducing the Greeks
- 11:36 – Socrates (c. 470–399 BC)
- 23:34 -Plato (428/427 or 424/423 – 348/347 BC)
- 34:06 – Aristotle (384–322 BC)
- 47:25 – Pythagoras (c. 570 – c. 495 BC)
- 53:57 – Euclid (c. 325 – c. 270 BC)
- 57:46 – Archimedes (c. 287 – c. 212 BC)
- 1:05:41 – Summing Up
- Socrates bit.ly/2FQz0hH
- Plato bit.ly/386Cd96
- Aristotle bit.ly/2tdGUzi
- Pythagoras, Euclid, Archimedes bit.ly/38hEL46
Limbic thought and artificial intelligence
September 5, 2018 Siddharth (Sid) Pai
https://www.linkedin.com/pulse/limbic-thought-artificial-intelligence-siddharth-sid-pai/
It will be eons before AI thinks with a limbic brain, let alone has consciousness
AI programmes themselves generate additional computer programming code to fine-tune their algorithms—without the need for an army of computer programmers. In AI speak, this is now often referred to as “machine learning”.
An AI programme “catastrophically forgets” the learnings from its first set of data and would have to be retrained from scratch with new data. The website futurism.com says a completely new set of algorithms would have to be written for a programme that has mastered face recognition, if it is now also expected to recognize emotions. Data on emotions would have to be manually relabelled and then fed into this completely different algorithm for the altered programme to have any use. The original facial recognition programme would have “catastrophically forgotten” the things it learnt about facial recognition as it takes on new code for recognizing emotions. According to the website, this is because computer programmes cannot understand the underlying logic that they have been coded with.
Irina Higgins, a senior researcher at Google DeepMind, has recently announced that she and her team have begun to crack the code on “catastrophic forgetting”.
As far as I am concerned, this limbic thinking is “catastrophic thinking” which is the only true antipode to AI’s “catastrophic forgetting”. It will be eons before AI thinks with a limbic brain, let alone has consciousness.
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Stephen Hawking warns artificial intelligence could end mankind
By Rory Cellan-JonesTechnology correspondent,2 December 2014
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thank you Sarnath Ramnat (sarnath@stcloudstate.edu) for the finding
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more on AI in this IMS blog
https://blog.stcloudstate.edu/ims?s=artifical+intelligence