ConferenceCall 2024 02 28 - Revision history

Forum: /* Resources */

2024-03-05T21:34:50Z

Resources

← Older revision		Revision as of 21:34, 5 March 2024
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	* [https://bit.ly/434EMGy John Sowa Video Recording]		* [https://bit.ly/434EMGy John Sowa Video Recording]
	* [https://bit.ly/3SXW3MR Discussion Recording]		* [https://bit.ly/3SXW3MR Discussion Recording]
			* [https://youtu.be/GeN5XVA2e4w Gary Marcus Youtube Video]
			* [https://youtu.be/t7wZbbISdyA John Sowa Youtube Video]

	== Previous Meetings ==		== Previous Meetings ==

Forum at 16:44, 3 March 2024

2024-03-03T16:44:18Z

← Older revision		Revision as of 16:44, 3 March 2024
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	== Resources ==		== Resources ==
			* [https://bit.ly/49BPE11 Introduction Video Recording]
			* [https://bit.ly/42Y5T5X Gary Marcus Video Recording]
			* [https://bit.ly/3uHQv10 John Sowa Slides]
			* [https://bit.ly/434EMGy John Sowa Video Recording]
			* [https://bit.ly/3SXW3MR Discussion Recording]

	== Previous Meetings ==		== Previous Meetings ==

Forum: /* Participants */

2024-03-03T16:40:19Z

Participants

← Older revision		Revision as of 16:40, 3 March 2024
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	* [[JohnSowa\|John Sowa]]		* [[JohnSowa\|John Sowa]]
	* [[KenBaclawski\|Ken Baclawski]]		* [[KenBaclawski\|Ken Baclawski]]
	* ~~[[MarcoNeumann\|~~Marco Neumann]]		* Marco Neumann
	* ~~[[PhilJackson\|~~Phil Jackson]]		* Phil Jackson
	* [[RaviSharma\|Ravi Sharma]]		* [[RaviSharma\|Ravi Sharma]]
	* [[ToddSchneider\|Todd Schneider]]		* [[ToddSchneider\|Todd Schneider]]

Forum: /* Participants */

2024-03-03T16:39:42Z

Participants

← Older revision		Revision as of 16:39, 3 March 2024
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	== Participants ==		== Participants ==
			* [[GaryBergCross\|Gary Berg-Cross]]
			* Gary Marcus
			* [[JanetSinger\|Janet Singer]]
			* [[JohnSowa\|John Sowa]]
			* [[KenBaclawski\|Ken Baclawski]]
			* [[MarcoNeumann\|Marco Neumann]]
			* [[PhilJackson\|Phil Jackson]]
			* [[RaviSharma\|Ravi Sharma]]
			* [[ToddSchneider\|Todd Schneider]]

	== Discussion ==		== Discussion ==

Forum: /* Agenda */

2024-03-03T15:26:25Z

Agenda

← Older revision		Revision as of 15:26, 3 March 2024
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	== Agenda ==		== Agenda ==
	* 12:00 - 12:05 Introduction '''[[RaviSharma\|Ravi Sharma]]''' [https://bit.ly/49BPE11 Video]		* 12:00-12:05 Introduction '''[[RaviSharma\|Ravi Sharma]]'''
	* 12:05 - 12:35 '''Gary Marcus''' [https://bit.ly/42Y5T5X Video] [https://bit.ly/3SXW3MR Discussion]		** [https://bit.ly/49BPE11 Video Recording]
	* 12:35 - 13:05 '''[[JohnSowa\|John Sowa]]''' ''Without Ontology, LLMs are clueless'' ~~[https://bit.ly/434EMGy Video]~~		* 12:05-12:40 '''Gary Marcus''' ''No AGI (and no Trustworthy AI) without Neurosymbolic AI''
			** [https://bit.ly/42Y5T5X Video Recording]
			* 12:40-12:50 Discussion
			** [https://bit.ly/3SXW3MR Discussion Recording]
			* 12:50-13:30 '''[[JohnSowa\|John Sowa]]''' ''Without Ontology, LLMs are clueless''
	** Abstract: Large Language Models (LLMs) are a powerful technology for processing natural languages. But the results are sometimes good and sometimes disastrous. The methods are excellent for translation, useful for search, but unreliable in generating new combinations. Any results found or generated by LLMs are abductions (hypotheses) that must be tested by deduction. An ontology of the subject matter is necessary for the test. With a good ontology, errors, hallucinations, and deliberate lies can be detected and avoided.		** Abstract: Large Language Models (LLMs) are a powerful technology for processing natural languages. But the results are sometimes good and sometimes disastrous. The methods are excellent for translation, useful for search, but unreliable in generating new combinations. Any results found or generated by LLMs are abductions (hypotheses) that must be tested by deduction. An ontology of the subject matter is necessary for the test. With a good ontology, errors, hallucinations, and deliberate lies can be detected and avoided.
	** [https://bit.ly/3uHQv10 Slides]		** [https://bit.ly/3uHQv10 Slides]
	* 13:~~05 - 13:30 Discussion~~		** [https://bit.ly/434EMGy Video Recording]

	== Conference Call Information ==		== Conference Call Information ==

Forum at 04:32, 3 March 2024

2024-03-03T04:32:16Z

← Older revision		Revision as of 04:32, 3 March 2024
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	== Agenda ==		== Agenda ==
	* 12:00 - 12:05 Introduction '''[[RaviSharma\|Ravi Sharma]]'''		* 12:00 - 12:05 Introduction '''[[RaviSharma\|Ravi Sharma]]''' [https://bit.ly/49BPE11 Video]
	* 12:05 - 12:35 '''Gary Marcus'''		* 12:05 - 12:35 '''Gary Marcus''' [https://bit.ly/42Y5T5X Video] [https://bit.ly/3SXW3MR Discussion]
	* 12:35 - 13:05 '''[[JohnSowa\|John Sowa]]''' ''Without Ontology, LLMs are clueless''		* 12:35 - 13:05 '''[[JohnSowa\|John Sowa]]''' ''Without Ontology, LLMs are clueless'' [https://bit.ly/434EMGy Video]
	** Abstract: Large Language Models (LLMs) are a powerful technology for processing natural languages. But the results are sometimes good and sometimes disastrous. The methods are excellent for translation, useful for search, but unreliable in generating new combinations. Any results found or generated by LLMs are abductions (hypotheses) that must be tested by deduction. An ontology of the subject matter is necessary for the test. With a good ontology, errors, hallucinations, and deliberate lies can be detected and avoided.		** Abstract: Large Language Models (LLMs) are a powerful technology for processing natural languages. But the results are sometimes good and sometimes disastrous. The methods are excellent for translation, useful for search, but unreliable in generating new combinations. Any results found or generated by LLMs are abductions (hypotheses) that must be tested by deduction. An ontology of the subject matter is necessary for the test. With a good ontology, errors, hallucinations, and deliberate lies can be detected and avoided.
	** [https://bit.ly/3uHQv10 Slides]		** [https://bit.ly/3uHQv10 Slides]

Forum: /* Questions and Comments for John Sowa */

2024-03-03T04:13:50Z

Questions and Comments for John Sowa

← Older revision		Revision as of 04:13, 3 March 2024
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	13:23:13 From ToddSchneider : Should images be considered ‘symbols’?		13:23:13 From ToddSchneider : Should images be considered ‘symbols’?
	13:32:16 From Janet Singer : @ToddSchneider Don’t want to answer for John but diagrams could be icons as opposed to symbols which need rules of a language for interpretation/use (after Peirce)		<br/>13:32:16 From Janet Singer : @ToddSchneider Don’t want to answer for John but diagrams could be icons as opposed to symbols which need rules of a language for interpretation/use (after Peirce)

	13:26:29 From Phil Jackson : what about the mental models of people who are blind from birth? are these models based on 2-d images or instead based on 3-d models of spatial volumes, or 4-d models of spatial volumes moving in time? Or some other kind of model, that also includes sounds?		13:26:29 From Phil Jackson : what about the mental models of people who are blind from birth? are these models based on 2-d images or instead based on 3-d models of spatial volumes, or 4-d models of spatial volumes moving in time? Or some other kind of model, that also includes sounds?

Forum: /* Discussion */

2024-03-03T04:13:02Z

Discussion

← Older revision		Revision as of 04:13, 3 March 2024
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	== Discussion ==		== Discussion ==
			=== Questions for Gary Marcus ===

			12:46:10 From bhaugh : Can you recommend any specific approaches to combining symbolic and neural AI?

			12:49:48 From ToddSchneider : Where does context fit into the ‘landscape’?

			12:50:48 From ToddSchneider : Where does 2nd (or higher) order cognition or reasoning come into play?

			12:52:47 From Gary Berg-Cross : Are you familiar with the Sci American article: "How AI Knows Things No One Told It" (MAY 11, 2023 BY GEORGE MUSSER) and if so what did you think of its approach to its claims back then? https://www.scientificamerican.com/article/how-ai-knows-things-no-one-told-it/

			=== Questions and Comments for John Sowa ===

			13:14:40 From Janet Singer : John addresses the language pragmatics as well as semantics. How much of a mistake was it to assume a ‘semantic web’ could be successfully developed without the context of the pragmatics?

			13:23:13 From ToddSchneider : Should images be considered ‘symbols’?
			13:32:16 From Janet Singer : @ToddSchneider Don’t want to answer for John but diagrams could be icons as opposed to symbols which need rules of a language for interpretation/use (after Peirce)

			13:26:29 From Phil Jackson : what about the mental models of people who are blind from birth? are these models based on 2-d images or instead based on 3-d models of spatial volumes, or 4-d models of spatial volumes moving in time? Or some other kind of model, that also includes sounds?

			13:33:23 From Gary Marcus : Sorry I have to go! Thanks for having me! and I am very sympathetic to most of what John said!

			13:34:42 From Gary Berg-Cross : A friendly "central executive" needed to align with some of "our" values gets us into the vague area of social concepts.

			13:39:27 From Marco Neumann : Verisimilitude seems to be the predominant goal for the current generative AI effort. And in our media mediated world this may be a sufficient threshold after all. But if AGI is a future goal, how would you test it? Isn't the Turing test just a test of believability as well?

	== Resources ==		== Resources ==

Forum: /* Agenda */

2024-02-28T16:29:44Z

Agenda

← Older revision		Revision as of 16:29, 28 February 2024
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	* 12:35 - 13:05 '''[[JohnSowa\|John Sowa]]''' ''Without Ontology, LLMs are clueless''		* 12:35 - 13:05 '''[[JohnSowa\|John Sowa]]''' ''Without Ontology, LLMs are clueless''
	** Abstract: Large Language Models (LLMs) are a powerful technology for processing natural languages. But the results are sometimes good and sometimes disastrous. The methods are excellent for translation, useful for search, but unreliable in generating new combinations. Any results found or generated by LLMs are abductions (hypotheses) that must be tested by deduction. An ontology of the subject matter is necessary for the test. With a good ontology, errors, hallucinations, and deliberate lies can be detected and avoided.		** Abstract: Large Language Models (LLMs) are a powerful technology for processing natural languages. But the results are sometimes good and sometimes disastrous. The methods are excellent for translation, useful for search, but unreliable in generating new combinations. Any results found or generated by LLMs are abductions (hypotheses) that must be tested by deduction. An ontology of the subject matter is necessary for the test. With a good ontology, errors, hallucinations, and deliberate lies can be detected and avoided.
			** [https://bit.ly/3uHQv10 Slides]
	* 13:05 - 13:30 Discussion		* 13:05 - 13:30 Discussion

Forum: /* Ontology Summit 2024 {{#show:{{PAGENAME}}|?session}} */

2024-02-27T19:50:24Z

Ontology Summit 2024 {{#show:{{PAGENAME}}|?session}}

← Older revision		Revision as of 19:50, 27 February 2024
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	* 12:00 - 12:05 Introduction '''[[RaviSharma\|Ravi Sharma]]'''		* 12:00 - 12:05 Introduction '''[[RaviSharma\|Ravi Sharma]]'''
	* 12:05 - 12:35 '''Gary Marcus'''		* 12:05 - 12:35 '''Gary Marcus'''
	* 12:35 - 13:05 '''[[JohnSowa\|John Sowa]]''' ''~~LLMs~~ Without Ontology ~~Are Clueless~~''		* 12:35 - 13:05 '''[[JohnSowa\|John Sowa]]''' ''Without Ontology, LLMs are clueless''
			** Abstract: Large Language Models (LLMs) are a powerful technology for processing natural languages. But the results are sometimes good and sometimes disastrous. The methods are excellent for translation, useful for search, but unreliable in generating new combinations. Any results found or generated by LLMs are abductions (hypotheses) that must be tested by deduction. An ontology of the subject matter is necessary for the test. With a good ontology, errors, hallucinations, and deliberate lies can be detected and avoided.
	* 13:05 - 13:30 Discussion		* 13:05 - 13:30 Discussion

← Older revision		Revision as of 16:40, 3 March 2024
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	* [[JohnSowa\|John Sowa]]		* [[JohnSowa\|John Sowa]]
	* [[KenBaclawski\|Ken Baclawski]]		* [[KenBaclawski\|Ken Baclawski]]
	* ~~[[MarcoNeumann\|~~Marco Neumann]]		* Marco Neumann
	* ~~[[PhilJackson\|~~Phil Jackson]]		* Phil Jackson
	* [[RaviSharma\|Ravi Sharma]]		* [[RaviSharma\|Ravi Sharma]]
	* [[ToddSchneider\|Todd Schneider]]		* [[ToddSchneider\|Todd Schneider]]