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Richard Dawkins "Robots will become conscious" ft Hamza Tzortzis (2020-08-01) ​

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Summary of Richard Dawkins "Robots will become conscious" ft Hamza Tzortzis ​

*This summary is AI generated - there may be inaccuracies.

00:00:00 - 00:20:00 ​

"Richard Dawkins "Robots will become conscious" ft Hamza Tzortzis", Richard Dawkins discusses the potential for artificial intelligence to become conscious. He argues that this would be a problem because it goes against the grain of our natural instinct to treat machines as if they are conscious.

00:00:00 , Richard Dawkins discusses the potential for artificial intelligence (AI) to become conscious, and argues that this would be a problem because it goes against the grain of our natural instinct to treat machines as if they are conscious.

  • 00:05:00 Richard Dawkins' discussion of artificial intelligence focuses on the issue of consciousness, and argues that artificial intelligence machines will only be able to interact with symbols directly and would not be able to attach meaning to the symbols.
  • 00:10:00 In the discussion above, Richard Dawkins discusses how computer programs are syntactical, but do not necessarily have semantics. He then adapts a thought experiment by saying that the system itself might be able to attach meaning to the symbols, even if the programmer does not.
  • 00:15:00 Richard Dawkins argues that computer programs do not have intentionality, and that symbols do not have meaning on their own. He provides the example of how different symbols can have different meanings in different languages, and how humans are able to understand these meanings by attaching them to the symbols' corresponding concepts.
  • 00:20:00 Richard Dawkins discusses the concept of "hard AI" and "soft AI." He states that while soft AI is capable of intelligent behavior, it is not capable of consciousness in the same way that humans are. He goes on to say that while there is still much debate surrounding the subject, it is important to remember that AI is fundamentally intending and semantic in nature.

Full transcript with timestamps: CLICK TO EXPAND

0:00:00 [Music]
0:00:08 how are you guys doing
0:00:09 i'm joined with the esteem
0:00:11 [Laughter]
0:00:13 with the real man with the champ
0:00:17 with the heavyweight champion
0:00:23 what are you talking about yeah too much
0:00:25 tea
0:00:26 too much chili yeah yeah yeah but he
0:00:28 couldn't be here today
0:00:31 [Laughter]
0:00:35 how are you joking man
0:00:38 how are you doing okay well good good to
0:00:39 hear from you good to see you
0:00:41 well we're coming back to the new
0:00:42 atheists you delivered to one of them
0:00:44 maybe seven years ago
0:00:46 um a pretty good spanking
0:00:49 [Laughter]
0:00:51 yeah leo what's his name again leon
0:00:53 krauss what's his first name
0:00:55 i forget lawrence krauss
0:00:59 how do you feel about that debate
0:01:03 you know
0:01:04 [Laughter]
0:01:08 it was good given the circumstances and
0:01:11 my learning at that time
0:01:13 given the circumstances and the learning
0:01:16 my pathway of development at that time
0:01:20 obviously there's many things i think i
0:01:22 could have said that was
0:01:25 more articulate it was better
0:01:28 in terms of the way the audience would
0:01:29 understand it and to
0:01:31 really portray that islam is true and
0:01:34 that atheism is false
0:01:36 but generally speaking i think it was a
0:01:37 very very positive debate
0:01:40 on on balance but i'm going to do a
0:01:42 video in sha allah with
0:01:44 our beloved brother zeshan smile to
0:01:47 jannah on
0:01:48 seven years on from the debate and we're
0:01:51 gonna
0:01:52 do a bit of an assessment and analysis
0:01:53 of it i think that probably was the most
0:01:55 uh popular atheist muslim debate in the
0:01:58 last
0:01:59 30 50 years that i know i think it still
0:02:01 is from a numbers point of view
0:02:03 oh there's no doubt about that so it
0:02:04 would be good to get your insight on
0:02:05 that absolutely but talking about famous
0:02:07 atheists
0:02:08 we wanted to speak about something that
0:02:10 richard dawkins has been coming out
0:02:12 with his dear tai that he comes out with
0:02:14 you know he's got a title
0:02:17 um and speaking about which is ai
0:02:19 artificial intelligence let's just watch
0:02:21 quickly some of the stuff that he said
0:02:22 about
0:02:23 a.i and giving ai robots
0:02:26 rights and then we can comment on that
0:02:29 we reach a profound philosophical
0:02:32 difficulty
0:02:34 i am a philosophical naturalist uh i am
0:02:37 committed to the view
0:02:39 that there is nothing in our brains that
0:02:42 violates the laws of physics there's
0:02:43 nothing that could not in principle
0:02:46 be reproduced in technology it hasn't
0:02:49 been done yet we're probably quite a
0:02:50 long way away from it
0:02:52 but i see no reason why in future we
0:02:54 shouldn't reach the point
0:02:55 where a a human-made robot
0:02:59 is capable of consciousness
0:03:02 and of feeling pain this is profoundly
0:03:05 disturbing because it kind of goes
0:03:06 against the grain to think that uh
0:03:08 that a machine made of metal and
0:03:11 and silicon chips um could feel pain but
0:03:15 i
0:03:15 i don't see why they would not and so
0:03:18 that this
0:03:19 moral consideration of how to treat
0:03:22 artificially artificially intelligent
0:03:24 robots
0:03:25 will arise in the future and it's a
0:03:28 problem which
0:03:29 philosophers and moral philosophers are
0:03:31 already talking about so as you can see
0:03:34 he obviously thinks that on his
0:03:36 worldview materialism
0:03:39 that philosophical philosophical
0:03:41 naturalism that he thinks that
0:03:43 um robots or ai can have conscious
0:03:47 consciousness yes uh and that because of
0:03:50 this
0:03:50 they should be given rights what is your
0:03:52 response to that
0:03:54 well i don't want to go into the whole
0:03:56 rights and
0:03:57 the whole morality stuff okay the reason
0:03:59 being because that is
0:04:01 dependent on your understanding of ai
0:04:04 being conscious
0:04:05 and what do you mean by a.i being
0:04:07 conscious yes and that's why i have my
0:04:08 phone out it was not to be rude because
0:04:09 i have notes on this yeah
0:04:12 the first thing we need to address i
0:04:13 think is richard dawkins says that he's
0:04:16 a philosophical naturalist
0:04:17 now i find that very interesting bro
0:04:19 because
0:04:20 philosophical naturalism is not really
0:04:23 scientific per se and he comes across as
0:04:25 someone who promotes some kind of public
0:04:27 scientism right
0:04:29 that science is the only way to render
0:04:33 the truth about the world in reality
0:04:34 okay maybe that's a hard form of
0:04:36 scientism let's make it a bit more
0:04:37 softer
0:04:38 maybe he says science is one of the best
0:04:41 ways to render the truth about the word
0:04:42 in reality
0:04:45 however philosophical naturalism is more
0:04:47 of a philosophy
0:04:49 rather than anything scientific so he
0:04:52 says he's a philosophical naturalist
0:04:53 what does that mean
0:04:55 that means that there is no divine there
0:04:57 is no supernatural
0:04:58 everything can be explained by physical
0:05:01 processes or reduced to physical things
0:05:02 in some way
0:05:04 now that is very interesting because
0:05:05 that's a faith
0:05:07 remember he says i am committed to now
0:05:10 the atheist the prominent atheist
0:05:12 philosopher
0:05:13 michael rules he says you know if you
0:05:15 want a concession
0:05:16 naturalism is is a faith because you
0:05:20 have to believe it as a lens
0:05:22 uh in order for you to see through in
0:05:26 order to understand the world in reality
0:05:28 so he already comes with the
0:05:29 presupposition
0:05:31 that there is no god he already comes
0:05:33 with the presupposition
0:05:35 that everything can be explained by
0:05:36 physical processes
0:05:38 he that's his starting point those are
0:05:41 his lenses
0:05:42 you know in which he sees through to
0:05:44 understand reality
0:05:45 so he's admitted something here this is
0:05:48 my faith
0:05:49 i'm a philosophical naturalist so
0:05:51 therefore even though i know nothing
0:05:52 about ai
0:05:54 i'm going to assume that ai is going to
0:05:56 be conscious and i'm going to assume
0:05:57 that it must be given rights
0:05:59 that is a really unnuanced ridiculous
0:06:02 way of starting a
0:06:03 a a a video about ai the discussion
0:06:06 shouldn't presume philosophical
0:06:08 naturalism to be true and when you watch
0:06:09 the whole video
0:06:11 you see that really they are presuming
0:06:13 philosophical naturalism to be true
0:06:15 and in the context of ai and
0:06:17 consciousness they're presuming
0:06:19 a physicalist understanding of
0:06:21 consciousness
0:06:22 which basically means that consciousness
0:06:25 can be reduced to or is identical in
0:06:27 some way
0:06:28 to physical processes so how do you
0:06:30 define consciousness and
0:06:32 what needs to be in place for
0:06:33 consciousness to work oh my god
0:06:36 because i think we need to for you know
0:06:38 cover this ground
0:06:39 okay this is a big question but let's
0:06:42 apply it to the ai scenario
0:06:44 so i think what they're trying to say is
0:06:45 that
0:06:47 ai machines or computer programs or
0:06:50 robots whatever the case may be
0:06:52 they are going to be indistinguishable
0:06:54 to human beings in some way
0:06:56 okay when it comes to consciousness when
0:06:59 it comes to
0:07:00 intelligence when it comes to
0:07:03 interaction to the point where richard
0:07:05 dawkins even says
0:07:07 even concerning pain right and this is
0:07:10 the point that we need to zoom in on
0:07:12 we don't have a problem with certain
0:07:14 aspects of consciousness such as
0:07:16 thoughts or you know cognition
0:07:19 or intelligence right because these are
0:07:22 these are connected to consciousness as
0:07:24 well
0:07:24 what we're talking about here is that
0:07:27 can artificial intelligent
0:07:29 machines can they have
0:07:32 inner subjective conscious states
0:07:36 can they have something called
0:07:39 intentionality
0:07:40 okay which is now this is quite broad in
0:07:42 the philosophy of the mind but generally
0:07:44 speaking intentionality means and is
0:07:46 connected to meaning
0:07:47 it means that your
0:07:50 reasoning is about or of something else
0:07:54 okay so say i am reasoning say i'm
0:07:57 reasoning about
0:07:58 muhammad hijab i'm talking about
0:08:00 muhammad hijab and i'm reasoning
0:08:02 reasoning about you i know that i'm
0:08:05 reasoning about something other than
0:08:08 myself and other than the just the
0:08:11 the the sounds and the words that i'm
0:08:13 using it is
0:08:14 of and about something external to me
0:08:19 now we can safely say that robots or am
0:08:22 machines don't have an ability to do
0:08:24 that
0:08:24 because really robots and machines about
0:08:28 just rearranging of symbols right the
0:08:30 symbols
0:08:31 don't know that those symbols are about
0:08:34 or of something external to the symbol
0:08:36 itself
0:08:37 right because fundamentally computer
0:08:38 programs are based on zeros and ones
0:08:40 right
0:08:41 fundamentally so do the zeros and ones
0:08:44 do they know
0:08:45 that they are addressing an entity a
0:08:48 conscious sentient entity called
0:08:49 muhammad hijab
0:08:51 do so do they have intentionality no
0:08:54 it's just zeros and ones and this is
0:08:55 arrangement of zeros and ones
0:08:56 the zeros and ones are not of and about
0:09:01 muhammad hijab or rather the zeros and
0:09:03 ones don't know
0:09:05 they are referring to something called
0:09:07 muhammad hijab that's external to them
0:09:09 right so this is
0:09:10 generally speaking uh intentionality and
0:09:13 it relates to meaning and that's a
0:09:14 really good point that is a good point
0:09:15 but the thing is it's
0:09:16 very vast and there's a lot of
0:09:17 discussions oh that's a good way of
0:09:19 putting it because you're saying that
0:09:21 robots will only be able to interact
0:09:23 with
0:09:25 symbols directly but wouldn't know
0:09:27 wouldn't be able to give meaning to
0:09:28 those symbols
0:09:29 good so this is the point here so
0:09:30 computer systems just manipulate
0:09:33 symbols they can't attach meaning to the
0:09:35 symbol so this is
0:09:36 syntax and semantics so let me give an
0:09:39 example
0:09:40 um the difference between syntax and
0:09:41 semantics so we have here three
0:09:42 sentences right
0:09:44 yeah one in greek one in english
0:09:47 and let's do one in turkish right so
0:09:49 it's i love you
0:09:51 all right which is greek i love you and
0:09:54 you have
0:09:55 seni seville which is i love you in
0:09:57 turkish now as you can see the three
0:09:59 sentences have the same
0:10:00 semantics they have the same meaning but
0:10:03 they have different symbols
0:10:05 so what do we learn from this well take
0:10:06 this if i were to give you
0:10:08 all of the symbols of greek and teach
0:10:11 you how to arrange them
0:10:12 in the correct way with the right spaces
0:10:15 right in the right
0:10:16 kind of grammatical formula whatever the
0:10:18 case may be
0:10:19 by virtue of you doing that would you
0:10:21 know the meaning no
0:10:22 exactly so that shows there's a
0:10:24 difference between just
0:10:26 merely rearranging symbols and
0:10:28 understanding the meaning connected to
0:10:30 the symbols and attaching meaning to the
0:10:31 symbols right
0:10:33 so there's an interesting argument that
0:10:34 i think uh john professor john cell he
0:10:37 developed and i've adapted it here
0:10:39 is number one computer programs are
0:10:41 syntactical
0:10:42 so they're based on syntax number two
0:10:45 minds have semantics
0:10:47 number three syntax by itself is neither
0:10:50 sufficient nor constitutive
0:10:52 for semantics four therefore computer
0:10:55 programs by themselves
0:10:57 are not minds for example just imagine
0:11:00 an avalanche bro
0:11:01 there's an avalanche in some famous
0:11:03 mountains say in the alps in france
0:11:05 right
0:11:06 and the avalanche when it basically
0:11:09 creates its mess all of a sudden you see
0:11:11 rocks
0:11:12 that are arranged and it says you know
0:11:15 my name is muhammad hijab
0:11:17 and i'm over six foot five and i love
0:11:20 wrestling
0:11:20 and i'm a debater right so
0:11:24 now the mere arrangement of those
0:11:27 symbols right
0:11:28 so the mer arrangement of those symbols
0:11:31 does the avalanche
0:11:32 know the meaning no exactly
0:11:35 so the main arrangement of the symbols
0:11:37 itself doesn't give rise to the meaning
0:11:40 so if an if if a c right if if the tide
0:11:43 was coming in and out and as a result of
0:11:45 the tide moving
0:11:46 uh you see an arrangement of sand that
0:11:48 says i love my mother i love my parents
0:11:51 does the sea know the meaning of those
0:11:53 symbols
0:11:54 no so the mere arrangement of those
0:11:56 symbols in a particular way
0:11:58 doesn't necessarily give rise to meaning
0:12:00 because the c doesn't know how to attach
0:12:02 meaning to the symbols and the avalanche
0:12:04 doesn't know how to attach meaning
0:12:05 to the arrangement of rocks that for us
0:12:07 has meaning right
0:12:09 does that make sense um okay so this is
0:12:11 good
0:12:12 so you can't ever prove that do you
0:12:13 think there's ever a chance no sorry so
0:12:15 here's the point the point is
0:12:16 ai machines yeah they're just complex
0:12:18 syntactical arrangements
0:12:20 they can never you're saying that it's
0:12:21 not possible for them to they can't
0:12:23 attach me to
0:12:24 the symbols yeah why not
0:12:27 because of what we just discussed so for
0:12:29 example if an avalanche were to come and
0:12:32 somehow arrange a bunch of symbols that
0:12:35 says
0:12:35 i love smile to jannah it's the best
0:12:37 channel in the world please subscribe
0:12:38 now
0:12:39 yeah right it doesn't know the meaning
0:12:41 of that that's meaningless anyway
0:12:46 but do you see my point yeah so let's
0:12:49 break this down further so your question
0:12:51 really has opened the door to professor
0:12:54 john cell's
0:12:55 famous chinese room experiment you ready
0:12:56 for this experiment yeah okay heard of
0:12:57 this before but just go for it again
0:12:59 yeah so so say this is a room this this
0:13:02 pillow
0:13:03 right can you see this pillow sir
0:13:06 this pillow is a room you are in this
0:13:08 room hijab okay
0:13:09 on the side you're inside you're inside
0:13:12 yeah yeah you're right with that i'm
0:13:13 okay good
0:13:14 so you're in this pillow but it's a
0:13:17 roman we call it the chinese room
0:13:19 in this room there is a rule book but
0:13:21 it's only in the english language
0:13:23 i'm alright yeah and the rule book says
0:13:25 when you see this chinese symbol
0:13:27 and this chinese symbol then you
0:13:31 give this chinese symbol you don't know
0:13:33 what the symbols mean it's just giving
0:13:34 you a
0:13:36 symbolic representation right here are
0:13:38 the chinese characters when you see this
0:13:39 chinese character and this chinese
0:13:40 character then
0:13:41 give us or give outside of the room this
0:13:44 chinese character yeah
0:13:45 okay outside of the room are
0:13:48 chinese speakers for example yeah and
0:13:51 they give you questions okay this is an
0:13:53 adapted version of the thought
0:13:54 experiment but it still works
0:13:56 they give you questions in chinese yeah
0:13:59 so
0:13:59 they don't know who you are but you take
0:14:02 the questions in chinese and you read
0:14:04 the english rule book
0:14:05 and you say okay i've seen this chinese
0:14:06 character i have no idea what it means
0:14:08 but i've seen this chinese character and
0:14:10 this chinese character and the rule book
0:14:12 says i have to give this chinese
0:14:13 character
0:14:14 so you're giving all the right answers
0:14:16 out so for the people outside of the
0:14:18 room
0:14:19 do they think you know chinese yes
0:14:21 exactly
0:14:23 but do you know chinese no exactly so
0:14:26 this chinese room through experiment
0:14:27 represents what happens to the ai
0:14:28 machine
0:14:29 they just have syntactical arrangement
0:14:32 this is a manipulation of symbols
0:14:34 not meaning now there is a response to
0:14:36 this it's called the systems reply john
0:14:38 cell
0:14:38 calls it the systems reply some people
0:14:41 say yeah you
0:14:42 as muhammad hijab may not know the
0:14:43 meaning but the system itself
0:14:46 knows the meaning and john so replies
0:14:48 and says well how can that be the case
0:14:50 because there is no way of the system
0:14:51 attaching meaning to the symbols in the
0:14:53 first place
0:14:54 yeah and you could even extend the
0:14:56 thought experiment by saying that this
0:14:58 whole system could just be in your brain
0:14:59 mr muhammad hijab yeah
0:15:01 you could know how to manipulate all the
0:15:04 symbols
0:15:05 and always give the right answer but
0:15:06 does that mean you know the meaning
0:15:09 of the language no you just know how to
0:15:12 basically put different things together
0:15:13 now for example i could teach you right
0:15:15 now greek right so if someone says
0:15:19 boss ise okay yeah boss is fine
0:15:38 my
0:15:46 [Laughter]
0:15:52 there you go do you know what do you
0:15:53 know what i'm saying yes yes
0:15:58 you don't know what i'm saying yeah so
0:16:00 you just said to me
0:16:02 how are you i said i'm very good how did
0:16:03 you know i just
0:16:09 hey for the audience you know what i'm
0:16:11 saying yeah so i could i
0:16:13 don't know what i was guessing okay
0:16:14 that's a guess exactly so the point here
0:16:16 is
0:16:16 i'm just giving you symbols but in the
0:16:18 form of sounds
0:16:20 and i'm teaching you what sound to give
0:16:21 me back just because you know
0:16:24 the kind of syntactical symbolic
0:16:26 arrangement whether it's written format
0:16:28 or in in in in in in sound in
0:16:32 waves whatever right it doesn't mean you
0:16:34 know the meaning
0:16:35 right meaning so i could train you to
0:16:37 come to my house
0:16:38 my mom's house and she may have like she
0:16:41 may give you like five sentences
0:16:43 right and i could train you to respond
0:16:46 in a particular way that may
0:16:48 make her realize that you think that she
0:16:50 thinks that you know greek to the point
0:16:52 i could we could manipulate the whole
0:16:53 thing and say
0:16:54 after those five sentences and you
0:16:55 responded so well you could say in greek
0:16:58 oh i need to go my mom's calling me uh
0:17:00 yeah so you could escape the rumor
0:17:01 you're not you're not questioning any
0:17:02 further
0:17:03 so the point i'm trying to say is we we
0:17:05 can train you
0:17:07 to come across as knowing greek but that
0:17:09 you have no idea what's going on
0:17:10 you know just by virtue of you've just
0:17:13 arranged
0:17:14 uh you just know the programs you just
0:17:16 you just do you see my point
0:17:17 yes so that's why is that so you said
0:17:20 intentionally
0:17:21 yes so let me just go back into my notes
0:17:23 because there's another response to the
0:17:24 chinese uh room experiment which is very
0:17:27 important for us to
0:17:29 um yeah so so concludes having the
0:17:32 symbols by themselves
0:17:33 just having the syntax is not sufficient
0:17:36 for having the semantics
0:17:38 merely manipulating symbols is not
0:17:41 enough to guarantee
0:17:42 knowledge of what they mean okay
0:17:46 so obviously there is
0:17:49 lots of discussion concerning this issue
0:17:51 in the philosophy of that what's really
0:17:52 interesting in the quran yeah yeah
0:17:55 when when the malaika when the angel
0:17:57 said allah says
0:18:06 he taught adam all the nouns all the
0:18:08 names and then he
0:18:10 and then adam reflected it back to the
0:18:12 angels but the ones who use m
0:18:15 s met give me news literally from neba
0:18:18 give me news of what this these words
0:18:20 are if you are truthful
0:18:22 so it's it's not just regurgitation
0:18:25 it's telling me what this is about it's
0:18:27 about meaning as well
0:18:28 yes well some of the exegetes they even
0:18:32 said that
0:18:32 this is not just labels or terms
0:18:36 and nouns this is also the concept of
0:18:38 things
0:18:40 which is about meaning which is very
0:18:43 very interesting and the abstract nouns
0:18:45 yeah but yanni the kind of exegesis of
0:18:49 the ayah here is it wasn't just that it
0:18:50 was about the concept behind these
0:18:52 things
0:18:52 yeah which is very deep so you know if
0:18:55 you want more information they go to
0:18:57 sapience institute.org go to read and
0:18:59 you go there's answers there's an answer
0:19:01 called
0:19:02 does ai undermine religion we'll put it
0:19:04 in the description yeah
0:19:05 and you've got more information on what
0:19:06 we just spoke about but just to
0:19:08 summarize
0:19:09 you computer programs don't really have
0:19:11 intentionality so ai machines don't have
0:19:14 intentionality
0:19:15 the symbols that they have in their
0:19:16 programming the symbols don't know
0:19:19 that it's about something or of
0:19:20 something outside of the symbol
0:19:22 itself right it's just a symbol and
0:19:26 that is connected to meaning and we know
0:19:28 that computer programs manipulate
0:19:30 symbols not semantics it's syntactical
0:19:32 arrangements not
0:19:34 semantics and we gave the example of the
0:19:36 three
0:19:37 different ways of saying i love you i
0:19:39 love you sargabo
0:19:41 seni severum this has one meaning but
0:19:43 different symbols and if i gave you all
0:19:44 the right symbols of the turkish or
0:19:46 greek language to put them in the right
0:19:47 way
0:19:48 just by virtue of arranging them in in
0:19:49 the correct way to produce
0:19:51 the words equivalent in that language of
0:19:54 i love you you would never know it means
0:19:55 i love you
0:19:56 because you just know the symbols
0:19:57 there's no way of you attaching meaning
0:19:58 to the symbols right
0:19:59 and then you ask me what does it mean
0:20:01 what is meaning which was a very
0:20:03 very deep question and that opened the
0:20:05 door to the chinese room thought
0:20:06 experiment
0:20:07 and the chinese room thought experiment
0:20:08 actually shows that actually
0:20:10 you can manipulate computers manipulate
0:20:13 the symbols
0:20:13 but it doesn't necessarily mean that
0:20:15 they have the semantics right it's not
0:20:17 just it's by virtue you being able to
0:20:19 manipulate the symbols doesn't
0:20:21 mean that you now know the meaning and
0:20:24 this
0:20:24 differentiates between soft ai sorry
0:20:27 weak ai and hard ai
0:20:29 so weak ai is yes computer programs can
0:20:32 be very intelligent
0:20:34 they may even pass the turing test the
0:20:36 turing test is basically this
0:20:37 uh kind of test that was developed it's
0:20:40 like a game
0:20:40 that this computer human being are
0:20:42 having a discussion and there's an
0:20:44 outsider
0:20:45 um that basically needs to try and
0:20:47 differentiate which one's the computer
0:20:48 which one's the human something like
0:20:49 that
0:20:50 but that's not a very good test and
0:20:51 there's a lot of contentions behind it
0:20:53 anyway but the point is you may even
0:20:54 pass the turing test you may talk to an
0:20:56 ai machine and think
0:20:57 it's a normal human that doesn't mean
0:20:59 now that that ai machine
0:21:01 is conscious in the way that we just
0:21:03 spoke about it just means that they're
0:21:04 manipulating the symbols really really
0:21:06 well
0:21:06 even when they're talking about things
0:21:07 like machine learning in ai right
0:21:10 machine learning is just complicated
0:21:12 syntactic arrangements
0:21:13 with more complicates and tactical
0:21:15 arrangements and they're just reduced
0:21:17 fundamentally to zeros on ones which
0:21:18 don't have intentionality right
0:21:21 so yeah so this difference between hard
0:21:24 and soft ai so
0:21:26 soft ai is they could be very
0:21:27 intelligent more intelligent human
0:21:28 beings and we've seen it on popular
0:21:30 media and there's a really good uh
0:21:32 youtube
0:21:33 video by smart janna on you know the
0:21:35 conspiracy of
0:21:36 ai and stuff like that and you see
0:21:38 computer programs can be far more
0:21:40 intelligent than human beings
0:21:41 but that doesn't mean they're conscious
0:21:42 in the way that we just discussed that
0:21:43 they have inner subjective
0:21:45 conscious states that they can feel pain
0:21:47 that they now can attach meaning to
0:21:48 symbols
0:21:49 so if they can't have that type of
0:21:52 consciousness
0:21:52 why are you even talking about rights in
0:21:54 the same way that you talk about human
0:21:55 rights that's my point
0:21:57 so don't come across with the
0:21:58 physicalist philosophical naturalistic
0:22:01 presupposition here that yes one day
0:22:03 they are going to have
0:22:05 uh rights you know what i did say to
0:22:07 zichard a few hours ago i said
0:22:09 in 10 to 20 years you're going to have
0:22:11 people marrying robots
0:22:13 yeah and when you turn a robot off and
0:22:15 with the intention not to turn it back
0:22:17 on kind of thing
0:22:18 it's going to be like murder that's the
0:22:20 gist of our conversation so i think
0:22:22 that's going to happen you had japanese
0:22:24 well nothing wrong with japanese people
0:22:25 but there was a japanese person
0:22:27 he married a manga cartoon a manga
0:22:31 cartoon bro
0:22:35 yeah no no i don't know you don't know
0:22:37 what mega cartoon is this is a cartoon
0:22:39 he married a cartoon anime it's like
0:22:41 anime yeah
0:22:42 would you believe it so there's a
0:22:44 difference between hard ai and soft ai
0:22:47 so soft ais computer programs in air can
0:22:49 be very very intelligent and even it may
0:22:51 even pass the turing test that you could
0:22:52 sound like a human being as sound
0:22:54 conscious
0:22:55 but you will never truly be conscious
0:22:57 because ai machines
0:22:59 there is no such thing as hard ai just
0:23:00 from a philosophical point of view
0:23:02 because of intentionality because of
0:23:04 syntax and the semantics discussion that
0:23:06 we just had
0:23:07 and yes this discussion continues
0:23:08 there's lots of debates on this you know
0:23:10 we're not giving you the fullness
0:23:11 picture
0:23:12 but it's a good starting point for you
0:23:13 to understand that fundamentally
0:23:15 you know you have to understand when you
0:23:16 watch videos like this they come with
0:23:18 some philosophical lenses and
0:23:19 presuppositions
0:23:20 as makuu says the faith of philosophical
0:23:23 naturalism
0:23:24 they have to presume that physicalism is
0:23:26 true
0:23:27 they have to presume that philosophical
0:23:28 naturalism is true and therefore say
0:23:30 yeah
0:23:30 maybe they can become conscious in the
0:23:32 way that we're
0:23:33 discussing and therefore we should give
0:23:35 them rights but before you get there
0:23:37 let's have the real philosophical
0:23:38 discussion can they really be conscious
0:23:40 in the way that you're thinking
0:23:42 is philosophical naturalism true from
0:23:44 this point of view and is physicalism
0:23:46 true as an approach to the philosophy of
0:23:48 the mind and that's the debates that's
0:23:50 continuing
0:23:50 and hopefully giving you some insights
0:23:52 for you to do further research and go to
0:23:53 the
0:23:54 link below or wherever you know to read
0:23:56 a little bit further concerning uh
0:23:58 does ai undermine religion with that
0:24:01 guys
0:24:02 thank you for watching happy birthday
0:24:05 with that guys
0:24:06 make sure you do what the man says
0:24:10 and um go yes go down to the enchanted
0:24:13 description there's lots of things that
0:24:14 come out the book that i've written
0:24:15 called
0:24:16 scientific deception new atheists also
0:24:18 free of charge on the sapiens
0:24:20 institute so make sure you go and
0:24:21 download that is free of charge
0:24:23 i'll put another description a link in
0:24:24 the description for that there are
0:24:26 things that are coming out three of our
0:24:27 webinars that we're doing on a weekly
0:24:29 basis
0:24:30 uh that are free of charge so everything
0:24:31 there is going to be once again free of
0:24:33 charge
0:24:34 so make sure you go and visit that
0:24:44 website
0:24:50 you