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Nội dung được cung cấp bởi Machine Learning Street Talk (MLST). Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được Machine Learning Street Talk (MLST) hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.
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#104 - Prof. CHRIS SUMMERFIELD - Natural General Intelligence [SPECIAL EDITION]

1:28:54
 
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Manage episode 356022362 series 2803422
Nội dung được cung cấp bởi Machine Learning Street Talk (MLST). Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được Machine Learning Street Talk (MLST) hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.

Support us! https://www.patreon.com/mlst

MLST Discord: https://discord.gg/aNPkGUQtc5

Christopher Summerfield, Department of Experimental Psychology, University of Oxford is a Professor of Cognitive Neuroscience at the University of Oxford and a Research Scientist at Deepmind UK. His work focusses on the neural and computational mechanisms by which humans make decisions.

Chris has just released an incredible new book on AI called "Natural General Intelligence". It's my favourite book on AI I have read so so far.

The book explores the algorithms and architectures that are driving progress in AI research, and discusses intelligence in the language of psychology and biology, using examples and analogies to be comprehensible to a wide audience. It also tackles longstanding theoretical questions about the nature of thought and knowledge.

With Chris' permission, I read out a summarised version of Chapter 2 from his book on which was on Intelligence during the 30 minute MLST introduction.

Buy his book here:

https://global.oup.com/academic/product/natural-general-intelligence-9780192843883?cc=gb&lang=en&

YT version: https://youtu.be/31VRbxAl3t0

Interviewer: Dr. Tim Scarfe

TOC:

[00:00:00] Walk and talk with Chris on Knowledge and Abstractions

[00:04:08] Intro to Chris and his book

[00:05:55] (Intro) Tim reads Chapter 2: Intelligence

[00:09:28] Intro continued: Goodhart's law

[00:15:37] Intro continued: The "swiss cheese" situation

[00:20:23] Intro continued: On Human Knowledge

[00:23:37] Intro continued: Neats and Scruffies

[00:30:22] Interview kick off

[00:31:59] What does it mean to understand?

[00:36:18] Aligning our language models

[00:40:17] Creativity

[00:41:40] "Meta" AI and basins of attraction

[00:51:23] What can Neuroscience impart to AI

[00:54:43] Sutton, neats and scruffies and human alignment

[01:02:05] Reward is enough

[01:19:46] Jon Von Neumann and Intelligence

[01:23:56] Compositionality

References:

The Language Game (Morten H. Christiansen, Nick Chater

https://www.penguin.co.uk/books/441689/the-language-game-by-morten-h-christiansen-and--nick-chater/9781787633483

Theory of general factor (Spearman)

https://www.proquest.com/openview/7c2c7dd23910c89e1fc401e8bb37c3d0/1?pq-origsite=gscholar&cbl=1818401

Intelligence Reframed (Howard Gardner)

https://books.google.co.uk/books?hl=en&lr=&id=Qkw4DgAAQBAJ&oi=fnd&pg=PT6&dq=howard+gardner+multiple+intelligences&ots=ERUU0u5Usq&sig=XqiDgNUIkb3K9XBq0vNbFmXWKFs#v=onepage&q=howard%20gardner%20multiple%20intelligences&f=false

The master algorithm (Pedro Domingos)

https://www.amazon.co.uk/Master-Algorithm-Ultimate-Learning-Machine/dp/0241004543

A Thousand Brains: A New Theory of Intelligence (Jeff Hawkins)

https://www.amazon.co.uk/Thousand-Brains-New-Theory-Intelligence/dp/1541675819

The bitter lesson (Rich Sutton)

http://www.incompleteideas.net/IncIdeas/BitterLesson.html

  continue reading

152 tập

Artwork
iconChia sẻ
 
Manage episode 356022362 series 2803422
Nội dung được cung cấp bởi Machine Learning Street Talk (MLST). Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được Machine Learning Street Talk (MLST) hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.

Support us! https://www.patreon.com/mlst

MLST Discord: https://discord.gg/aNPkGUQtc5

Christopher Summerfield, Department of Experimental Psychology, University of Oxford is a Professor of Cognitive Neuroscience at the University of Oxford and a Research Scientist at Deepmind UK. His work focusses on the neural and computational mechanisms by which humans make decisions.

Chris has just released an incredible new book on AI called "Natural General Intelligence". It's my favourite book on AI I have read so so far.

The book explores the algorithms and architectures that are driving progress in AI research, and discusses intelligence in the language of psychology and biology, using examples and analogies to be comprehensible to a wide audience. It also tackles longstanding theoretical questions about the nature of thought and knowledge.

With Chris' permission, I read out a summarised version of Chapter 2 from his book on which was on Intelligence during the 30 minute MLST introduction.

Buy his book here:

https://global.oup.com/academic/product/natural-general-intelligence-9780192843883?cc=gb&lang=en&

YT version: https://youtu.be/31VRbxAl3t0

Interviewer: Dr. Tim Scarfe

TOC:

[00:00:00] Walk and talk with Chris on Knowledge and Abstractions

[00:04:08] Intro to Chris and his book

[00:05:55] (Intro) Tim reads Chapter 2: Intelligence

[00:09:28] Intro continued: Goodhart's law

[00:15:37] Intro continued: The "swiss cheese" situation

[00:20:23] Intro continued: On Human Knowledge

[00:23:37] Intro continued: Neats and Scruffies

[00:30:22] Interview kick off

[00:31:59] What does it mean to understand?

[00:36:18] Aligning our language models

[00:40:17] Creativity

[00:41:40] "Meta" AI and basins of attraction

[00:51:23] What can Neuroscience impart to AI

[00:54:43] Sutton, neats and scruffies and human alignment

[01:02:05] Reward is enough

[01:19:46] Jon Von Neumann and Intelligence

[01:23:56] Compositionality

References:

The Language Game (Morten H. Christiansen, Nick Chater

https://www.penguin.co.uk/books/441689/the-language-game-by-morten-h-christiansen-and--nick-chater/9781787633483

Theory of general factor (Spearman)

https://www.proquest.com/openview/7c2c7dd23910c89e1fc401e8bb37c3d0/1?pq-origsite=gscholar&cbl=1818401

Intelligence Reframed (Howard Gardner)

https://books.google.co.uk/books?hl=en&lr=&id=Qkw4DgAAQBAJ&oi=fnd&pg=PT6&dq=howard+gardner+multiple+intelligences&ots=ERUU0u5Usq&sig=XqiDgNUIkb3K9XBq0vNbFmXWKFs#v=onepage&q=howard%20gardner%20multiple%20intelligences&f=false

The master algorithm (Pedro Domingos)

https://www.amazon.co.uk/Master-Algorithm-Ultimate-Learning-Machine/dp/0241004543

A Thousand Brains: A New Theory of Intelligence (Jeff Hawkins)

https://www.amazon.co.uk/Thousand-Brains-New-Theory-Intelligence/dp/1541675819

The bitter lesson (Rich Sutton)

http://www.incompleteideas.net/IncIdeas/BitterLesson.html

  continue reading

152 tập

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