Gödel's theorem debunks the most important AI myth. AI will not be conscious | Roger Penrose (Nobel)

00:31:52
https://www.youtube.com/watch?v=biUfMZ2dts8

Zusammenfassung

TLDRThe speaker critiques the concept of artificial intelligence, insisting that true intelligence requires consciousness, which current AI lacks. They delve into Gödel's theorem to explain limitations in computation and argue that consciousness may involve non-computable processes that AI cannot replicate. The discussion touches on quantum mechanics, emphasizing a distinction between classical and quantum realities. The speaker expresses skepticism about AI's future, suggesting that its computational capabilities could mislead society into believing it has consciousness, thus raising ethical concerns.

Mitbringsel

  • 🤖 Current AI lacks true consciousness.
  • 🔍 Gödel's theorem shows limits of computation.
  • 💡 Intelligence implies consciousness.
  • 🔗 Quantum mechanics might explain consciousness.
  • 🗣️ AI processes data without understanding.
  • ⚠️ Mislabeling AI could lead to risks.
  • 📊 AI can be powerful but not conscious.
  • ⚙️ AI operates within computable rules.
  • 🧠 Conscious beings transcend computational rules.
  • 🌀 New physics may be needed to understand consciousness.

Zeitleiste

  • 00:00:00 - 00:05:00

    The speaker emphasizes that the term 'artificial intelligence' is misleading, as it implies consciousness, which current computers do not possess. They argue that conventional AI does not understand what it is doing despite its computational power, raising concerns about how society perceives these technologies.

  • 00:05:00 - 00:10:00

    In discussing the Nobel Prize, the speaker addresses how AI-related awards may come off as tributes to artificial intelligence. However, they stress that these machines are not conscious and that evaluations of achievements in AI should remain cautious of conflating computational abilities with understanding.

  • 00:10:00 - 00:15:00

    The speaker reflects on their educational experiences, highlighting how courses in mathematics and computation shaped their views. They discuss Godel's theorem and the transcendent nature of understanding beyond computational methods, signifying an essential difference between human cognition and computer functionality.

  • 00:15:00 - 00:20:00

    Diving deeper into Godel's theorem, the speaker illustrates that the understanding of rules in mathematics transcends computational limitations and hinges on consciousness. They argue that AI lacks the ability to generate its own rules or comprehend them to the extent that conscious beings can.

  • 00:20:00 - 00:25:00

    The speaker asserts that consciousness cannot be reduced to computation and theorizes that it might involve non-computable physics, suggesting the existence of elements in the universe beyond the capabilities of current computational models. They express skepticism towards achieving genuine artificial consciousness with present-day AI technologies.

  • 00:25:00 - 00:31:52

    Lastly, the speaker acknowledges the advancements in AI but remains doubtful about the potential of machines to possess consciousness. They assert that while AI can outperform humans in some computing tasks, it does not equate to true understanding or awareness, cautioning against misinterpretations of AI capabilities.

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Mind Map

Video-Fragen und Antworten

  • Why do you believe AI cannot become conscious?

    AI lacks true understanding and awareness; it simply processes data without the ability to comprehend meanings or truths.

  • What is Gödel's theorem's relevance to AI?

    Gödel's theorem highlights the limits of computational proofs, suggesting there are truths beyond the reach of algorithms, which relates to the limitations of AI.

  • How does the speaker differentiate between consciousness and intelligence?

    Consciousness involves awareness and understanding, while intelligence, as used in AI, does not imply consciousness.

  • What does the speaker think about the term 'artificial intelligence'?

    The speaker believes 'artificial intelligence' is a misleading term, arguing that it does not capture the essence of consciousness.

  • Will AI ever be superhuman?

    The speaker does not believe AI will reach true consciousness or superhuman understanding, as it is fundamentally computable.

  • What role does quantum mechanics play in consciousness?

    The speaker suggests that consciousness may involve non-computable aspects and that quantum mechanics could help us understand this.

  • How does the speaker view the future of AI?

    They express concern that AI's computational prowess might lead people to mistakenly believe it possesses consciousness.

  • What are the risks associated with AI development?

    A major risk is the misconception that AI has consciousness, which could lead to ethical and practical implications.

  • Can AI create its own rules?

    No, AI cannot create its own rules because it lacks the understanding necessary to know if those rules are true.

  • What does the speaker believe is missing from AI?

    The speaker believes AI lacks the inherent understanding and consciousness that characterize true intelligence.

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Automatisches Blättern:
  • 00:00:02
    the name is wrong it's not artificial
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    intelligence intelligence would involve
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    Consciousness from the girdle argument
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    you see this is the plot which I think
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    has got lost now a computer is a very
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    specific kind of mathematical structure
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    it means computational mathematics it's
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    a very limited part of
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    mathematics I don't think they will ever
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    become conscious by virtue of being
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    computers in our current sense of the
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    word
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    but I think Consciousness it's not
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    computational that's still true with AI
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    you talk to an AI thing it doesn't know
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    what it's toing computers have got so
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    powerful that they've lost the thread of
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    what they're
  • 00:00:45
    doing I think the point has got
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    lost I think touring wasn't too far off
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    I I think people have lost the
  • 00:00:55
    plot few times you talk about the Nobel
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    Prize um we' back from Stockholm uh this
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    year we've been there
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    interviewing Nobel Prize winner don't
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    you think that this year Nobel Prize is
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    the tribute to the Nobel comedy for
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    artificial intelligence Nobel Prize
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    Nobel Prize and physx father for fathers
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    of of AI Nobel price in hemistry uh sir
  • 00:01:26
    Demis hassabis co-founder of deep mind
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    that's AI system David Baker computer
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    vision digitalization of proteins don't
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    you think there the tribute for AI I see
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    well you have to be careful first of all
  • 00:01:42
    the name is
  • 00:01:43
    wrong it's not artificial intelligence
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    it's not
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    intelligence intelligence would involve
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    Consciousness and I've always been a
  • 00:01:54
    strong promoter of the
  • 00:01:57
    idea that these devices is are not
  • 00:02:00
    conscious and they will not be be
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    conscious unless they bring in some
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    other ideas the comput they're not
  • 00:02:07
    they're all computable Notions but
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    intelligence it's not
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    Consciousness it depends on
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    Consciousness you see well it depends on
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    how you use the word I think when people
  • 00:02:18
    use the word intelligence they mean
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    something which is
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    conscious I mean that you see I
  • 00:02:26
    developed my own ideas after going to a
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    course course you see when I was a
  • 00:02:31
    graduate student in Cambridge I went to
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    three courses which were nothing to do
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    what I was supposed to be doing one was
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    by Bondi on general relativity one was
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    be dra on quantum mechanics the seem
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    wish very distinguished Paul D and the
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    third subject was on mathematical logic
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    and I learned about touring machines and
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    comput the notion of computability
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    and I know knew what computability meant
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    and I learned about girdle's theorem and
  • 00:03:06
    girdle's Theorem I found stunning
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    because it told you that there are
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    things that the
  • 00:03:15
    understanding transcends the use let me
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    put that more
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    clearly what girdle does it's very
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    clever what he does is to produce a
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    statement now suppose you you you're
  • 00:03:27
    trying to develop your mathematical
  • 00:03:30
    methods of proof what do you mean by
  • 00:03:33
    proving a theorem in mathematics how do
  • 00:03:35
    you know it's really true will you prove
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    it what does proof mean well you see
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    does it mean okay you've got a set of
  • 00:03:42
    rules and if you follow these rules that
  • 00:03:45
    makes it a proof now how do you know
  • 00:03:48
    these rules only give you truths well
  • 00:03:51
    you've looked at them carefully and you
  • 00:03:52
    say oh maybe AI create its own rules ah
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    no no you see have to be careful about
  • 00:03:58
    this this is the point but I I learned
  • 00:04:00
    from from Ste this is a man called Steen
  • 00:04:03
    who is a logician and I learned from him
  • 00:04:06
    this important thing about girdle's
  • 00:04:09
    theorem now girdle's theorem is
  • 00:04:11
    extremely clever you make a statement
  • 00:04:15
    which asserts that it's it cannot be
  • 00:04:19
    proved by these
  • 00:04:20
    rules it's just you the clever thing is
  • 00:04:23
    to make it do it it says you give your
  • 00:04:26
    rules which you regard as the rules of
  • 00:04:29
    proof proof and you could put them on a
  • 00:04:31
    computer so that mean they're
  • 00:04:32
    computational
  • 00:04:34
    rules now I knew that there were things
  • 00:04:37
    that you cannot put on a computer I
  • 00:04:40
    learned from this course that there are
  • 00:04:43
    non-computable things there are things
  • 00:04:45
    in mathematics which are not computable
  • 00:04:48
    now what does computable mean it means
  • 00:04:51
    that you can make a
  • 00:04:53
    computer well you have to Define what a
  • 00:04:55
    computer is and touring had one
  • 00:04:57
    definition of a computer there with
  • 00:05:00
    several other church and Curry other
  • 00:05:03
    people had their definitions of comput
  • 00:05:06
    they all turned out to be equivalent so
  • 00:05:08
    there is one universal notion of
  • 00:05:11
    computability which is what you mean by
  • 00:05:14
    what can be done by a computer maybe
  • 00:05:16
    this is only language problem that the
  • 00:05:19
    language development has not kept out
  • 00:05:21
    development of AI maybe we have just
  • 00:05:23
    only language problem that we cannot you
  • 00:05:27
    know describe what we create it no I
  • 00:05:31
    don't agree with that it's not a
  • 00:05:33
    language problem you see you make your
  • 00:05:34
    new language sure you can do that you
  • 00:05:37
    make your new language and that's what
  • 00:05:39
    you can do see let me describe the
  • 00:05:41
    girdle theorem how it works you see see
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    the girdle theorem says you construct a
  • 00:05:45
    statement which says you you see what it
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    means the way you've constructed the
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    sentence you can see what it means what
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    it means is I am not provable by those
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    rules
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    and it does that it really says that
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    then you see okay well is it perhaps it
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    is provable by the rules if it is
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    provable by the rules then it must be
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    true well I've said it the wrong way
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    around doesn't matter the other way
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    suppose it's false then that means it's
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    provable by the rules and if it's
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    provable by the rules you've understood
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    the rules you said you looked at them
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    all and say yes that's okay that's okay
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    that sure if you follow those rules it
  • 00:06:26
    is true so that means you believe
  • 00:06:30
    that the rules only give you truths so
  • 00:06:33
    therefore it is true that it's not
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    provable by the rules if it's false you
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    see then it is provable by the and
  • 00:06:40
    therefore it's true so it has to be true
  • 00:06:42
    and not provable by the rules I found
  • 00:06:44
    that amazing but still I don't
  • 00:06:46
    understand why AI cannot create its own
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    rules
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    because it doesn't know that they're
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    true you see that's the whole point
  • 00:06:57
    about the girdle theorem the whole point
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    as far as I'm concerned about the go
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    theorem is how do you transcend the
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    rules and that's what you do by
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    understanding them you understand them
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    why they're true it's not that you use
  • 00:07:13
    the rules but you understand why use of
  • 00:07:15
    the rules only gives you truths and
  • 00:07:18
    that's how you can prove things which go
  • 00:07:20
    beyond the rules by knowing why they're
  • 00:07:24
    true now knowing why they're true well
  • 00:07:27
    what does it mean what it means means
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    you understand them what does understand
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    mean you've got to be conscious of them
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    you see you the wording is clear it
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    means that you have to know what you're
  • 00:07:41
    doing you have to know why they're true
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    not that they're true you can be told
  • 00:07:46
    that they're true you can have you can
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    learn at school that they're true that's
  • 00:07:49
    not the point you have to know why
  • 00:07:51
    they're true why they're true needs
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    understanding them and understanding
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    them requires to being conscious of them
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    now that's require that you see the
  • 00:08:01
    point I was making is
  • 00:08:05
    that Consciousness enables you to
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    transcend the
  • 00:08:10
    rules you see why they're true and that
  • 00:08:12
    goes you beyond it you see what the
  • 00:08:14
    girdle theorum does it tells you how
  • 00:08:19
    to use your understanding of why the
  • 00:08:22
    rules are true to transcend the rules
  • 00:08:25
    you think that AI is the simple tool or
  • 00:08:28
    simple thing that we can use in the
  • 00:08:30
    single case no I don't say single it's
  • 00:08:33
    obviously infinite no clearly that's not
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    the
  • 00:08:36
    point the point is it doesn't know what
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    it's
  • 00:08:39
    doing that's still true with AI you talk
  • 00:08:42
    to an AI thing it doesn't know what it's
  • 00:08:44
    doing it has it speaks from experiences
  • 00:08:47
    if you like you see people have confused
  • 00:08:49
    the story the story is they've lost it
  • 00:08:53
    in the power of
  • 00:08:54
    computing the thing is that computers
  • 00:08:56
    have got so
  • 00:08:57
    powerful that they've lost lost the
  • 00:09:00
    thread of what they're doing they're
  • 00:09:03
    Computing do you regret it that it's so
  • 00:09:06
    power I well it's it's losing the
  • 00:09:09
    point you
  • 00:09:12
    see I think the point has got lost I
  • 00:09:15
    think touring wasn't too far off you see
  • 00:09:17
    he he was a little bit confused person
  • 00:09:19
    in way because he it was not clear what
  • 00:09:22
    he
  • 00:09:24
    believed but he did call this thing the
  • 00:09:27
    touring test how do you de decide
  • 00:09:29
    whether an entity is conscious or not
  • 00:09:32
    will you have a conversation with it you
  • 00:09:35
    talk to it maybe AI is a new sphere of
  • 00:09:39
    human existence no it's missing
  • 00:09:44
    something I think yeah that's the
  • 00:09:46
    trouble you see it's all I mean
  • 00:09:49
    obviously it has a role to play I'm not
  • 00:09:50
    going to say that clearly it has a role
  • 00:09:52
    to play it has a role but you must
  • 00:09:54
    mustn't be confused the fact that it has
  • 00:09:57
    a role to play it's to do with the power
  • 00:09:59
    of computation sure you computers have
  • 00:10:02
    got so powerful now that they can do
  • 00:10:04
    things Way Beyond what humans do in comp
  • 00:10:07
    Computing sure and you can take a mass
  • 00:10:10
    of data and you can analyze that data
  • 00:10:14
    and you can see what the data says and
  • 00:10:17
    does this thing in in accordance with
  • 00:10:20
    previous things in the data or is it not
  • 00:10:23
    and a that's all it does it doesn't
  • 00:10:26
    understand what it's
  • 00:10:28
    doing and and understanding is different
  • 00:10:30
    from Computing because inside a black
  • 00:10:34
    box there is just only statistic that's
  • 00:10:38
    this simple statistic
  • 00:10:40
    machine well if it's a machine it's not
  • 00:10:43
    conscious no I I think people have lost
  • 00:10:46
    the plot yes no that's true you see I
  • 00:10:50
    wrote my book The Emperor's New mind but
  • 00:10:53
    what does it mean that people lost the
  • 00:10:54
    plot yeah I think they've lost the plot
  • 00:10:58
    because
  • 00:11:00
    the whole point of my train of thought
  • 00:11:02
    was we've got to find something in
  • 00:11:06
    physics you see I believe I'm a
  • 00:11:08
    physicalist and that I believe whatever
  • 00:11:11
    is going on in our heads whatever
  • 00:11:14
    creates Consciousness is part of the
  • 00:11:16
    physical world I don't believe it magic
  • 00:11:19
    comes in from who knows what black boxs
  • 00:11:21
    it's also part of the physical rule but
  • 00:11:24
    what you mean by Black Box we know
  • 00:11:25
    what's at the input we know what's at
  • 00:11:28
    the output but we have no idea what's
  • 00:11:31
    deep inside that's the Black Box yes but
  • 00:11:35
    that's doesn't help because you don't
  • 00:11:36
    know what's inside what kind of physics
  • 00:11:38
    is inside that box maybe new physics yes
  • 00:11:43
    but new physics of a particular kind
  • 00:11:46
    what I'm claiming from the girdle
  • 00:11:48
    argument you see this is the plot which
  • 00:11:50
    I think has got lost what I claim is
  • 00:11:53
    saying that the physics that in is
  • 00:11:57
    involved in conscious thinking has to be
  • 00:11:59
    non-computable physics now the physics
  • 00:12:02
    we
  • 00:12:03
    know there's a little bit of a glitch
  • 00:12:05
    here because it's not completely clear
  • 00:12:07
    but as far as we can see the physics we
  • 00:12:10
    know is
  • 00:12:12
    computable you see uh what about general
  • 00:12:15
    relativity where we have wonderful
  • 00:12:17
    machines which compete what black holes
  • 00:12:19
    do when they spiral around each other
  • 00:12:21
    and produce gravitational wave signals
  • 00:12:23
    and you could say yeah yeah yeah that is
  • 00:12:24
    a black hole Collision because this has
  • 00:12:27
    this very clear feature yeah you can do
  • 00:12:29
    all that that is fine but that's not
  • 00:12:34
    what I'm talking about what I'm talking
  • 00:12:36
    about is the physics has to be a physics
  • 00:12:39
    which is in principle
  • 00:12:42
    non-computable so AI can blast his go
  • 00:12:45
    ahead as much as it likes it's not going
  • 00:12:48
    to be able to get this you talk about a
  • 00:12:50
    black box but you don't know what's in
  • 00:12:52
    that box is it a
  • 00:12:54
    computer is it a computer of the kind we
  • 00:12:57
    understand now is it something which
  • 00:13:00
    involves a physics which involves a
  • 00:13:04
    non-computable process not so far I'm
  • 00:13:08
    not saying that won't happen I dread it
  • 00:13:11
    because I don't want it to happen I
  • 00:13:13
    can't help it because I suspect it will
  • 00:13:15
    happen someday but it's not AI as we now
  • 00:13:18
    know it AI we as we now know it is
  • 00:13:21
    computer-driven
  • 00:13:23
    and that means it's not going
  • 00:13:26
    superhumans AI will never exist
  • 00:13:30
    what you trouble is that AI is a bad
  • 00:13:32
    term it means artificial
  • 00:13:36
    intelligence now intelligence in my view
  • 00:13:39
    is conscious that's what intelligence is
  • 00:13:42
    about okay so how I can call it
  • 00:13:46
    artificial um cleverness how about that
  • 00:13:50
    AC you can see the difference to some
  • 00:13:54
    extent when you do mathematical you have
  • 00:13:56
    mathematics students some of them
  • 00:13:58
    understand what they're doing some are
  • 00:13:59
    just clever they can they can repeat
  • 00:14:02
    what they've learned they know how to do
  • 00:14:04
    it very cleverly they can calculate very
  • 00:14:06
    well but they don't necessarily
  • 00:14:08
    understand what they're doing the the
  • 00:14:10
    physics we don't
  • 00:14:12
    know involves non-comp
  • 00:14:15
    computability so that's my claim so I
  • 00:14:18
    made this claim in the emperor's new
  • 00:14:20
    mind and I made it more a little bit
  • 00:14:23
    more forcefully in Shadows of the mind I
  • 00:14:26
    mean that maybe it's not the
  • 00:14:28
    consciousness maybe it's something
  • 00:14:30
    absolutely new maybe it's not a wordness
  • 00:14:33
    but that's there may be completely
  • 00:14:35
    unknowns which we have no concept of at
  • 00:14:37
    the moment that could be true I'm
  • 00:14:40
    talking about
  • 00:14:43
    things you see if you're talking about
  • 00:14:47
    AI that means unfortunately it's a bad
  • 00:14:50
    term because it says artificial
  • 00:14:52
    intelligence which to me what people use
  • 00:14:56
    that term they mean things that can be
  • 00:14:58
    done by by
  • 00:15:00
    computers that's what they
  • 00:15:02
    mean they have computers and their
  • 00:15:04
    computers are very powerful and then
  • 00:15:08
    what they mean by AI is using computers
  • 00:15:13
    it may not be using the Straight logical
  • 00:15:15
    way usually as I haven't studied these
  • 00:15:18
    things so I'm probably out of date but
  • 00:15:21
    but as far as I can see what it is is
  • 00:15:24
    you look at masses of data and then you
  • 00:15:26
    s look for patterns or you you try to
  • 00:15:29
    analyze it in that kind of way but it's
  • 00:15:32
    all computational you're using
  • 00:15:35
    computers but it's very nature it's
  • 00:15:38
    computational the word means
  • 00:15:40
    computational means by a computer now a
  • 00:15:43
    computer is a very specific kind of
  • 00:15:45
    mathematical structure it means
  • 00:15:47
    computational mathematics if you study
  • 00:15:50
    the mathematics as an abstract subject
  • 00:15:53
    you rapidly learn that there are things
  • 00:15:56
    Way Way Beyond
  • 00:15:57
    computability it's a very limited part
  • 00:16:00
    of mathematics some of the mathematics
  • 00:16:03
    is involved is not computable you can't
  • 00:16:07
    get at it by an algorithm now you see
  • 00:16:09
    people often think well AI doesn't use
  • 00:16:12
    algorithms because it's using sort of
  • 00:16:15
    random methods or something I don't know
  • 00:16:17
    I haven't studied in detail what AI
  • 00:16:21
    really Asser what is called AI really
  • 00:16:25
    involves when you put it on a computer
  • 00:16:27
    but it is being done by my computer so
  • 00:16:30
    it's still something computational no
  • 00:16:32
    question about that I'm claiming that
  • 00:16:35
    you want something non-computational now
  • 00:16:37
    you see people tend not to believe this
  • 00:16:40
    because they just think of computers and
  • 00:16:42
    they don't know there are non-computable
  • 00:16:44
    things if you study the mathematics
  • 00:16:46
    mathematical logic you see that there
  • 00:16:48
    are non-computable structures there are
  • 00:16:51
    could the logic the physics of the world
  • 00:16:53
    could easily be
  • 00:16:54
    non-computable and my view is that yes
  • 00:16:56
    it is non-computable
  • 00:16:59
    and that somehow Nature has been clever
  • 00:17:01
    enough to produce beings which can tap
  • 00:17:05
    into the non-computable aspect of the
  • 00:17:07
    physics and they managed to do this
  • 00:17:11
    using natural
  • 00:17:12
    selection I have no idea how far down
  • 00:17:15
    the animal kingdom and goes humans are
  • 00:17:18
    certainly conscious I believe anybody
  • 00:17:21
    who owns a dog is absolutely convinced
  • 00:17:23
    that dogs are conscious I believe it
  • 00:17:25
    cats probably elephants certainly
  • 00:17:29
    way down way way down probably octopus
  • 00:17:32
    is I'm
  • 00:17:33
    sure I don't know is a bacteria I'm
  • 00:17:35
    conscious I no idea is a is a a frog
  • 00:17:40
    conscious probably yes is a uh an amoeba
  • 00:17:44
    conscious I have no
  • 00:17:47
    idea I'm just speculating I've no real
  • 00:17:50
    reason for leaving these things but I
  • 00:17:52
    think
  • 00:17:53
    Consciousness is something
  • 00:17:55
    different it's not computational
  • 00:17:59
    and the thing is that it's just people
  • 00:18:01
    are so hypnotized I don't should use a
  • 00:18:05
    rude word like that really by the fact
  • 00:18:07
    that computers have got so powerful that
  • 00:18:10
    yeah there's the answer the computers
  • 00:18:12
    are so powerful we found the answer it's
  • 00:18:15
    just computers I'm saying no it's not
  • 00:18:19
    the answer is something much more deeper
  • 00:18:22
    than that it's not it's not more
  • 00:18:24
    complicated than that it's deeper than
  • 00:18:26
    that it involves a kind of physics which
  • 00:18:28
    we don't probably know yet it's deeper
  • 00:18:32
    because it's based on the quantum
  • 00:18:35
    world it's is beyond the quantum role
  • 00:18:38
    you see the quantum World Is Still
  • 00:18:40
    computable what's not computable in far
  • 00:18:43
    as we know what we don't there's a basic
  • 00:18:46
    unknown in Quantum world the quantum
  • 00:18:49
    theory is fundamentally
  • 00:18:51
    incomplete I call it even wrong in a
  • 00:18:54
    certain sense
  • 00:18:56
    because it believes that Quant
  • 00:18:59
    superpositions persists at all levels
  • 00:19:01
    maybe when we ever create the universal
  • 00:19:05
    quantum computer we can create a
  • 00:19:08
    synthetic
  • 00:19:11
    Consciousness
  • 00:19:12
    maybe yeah no I have nothing nothing
  • 00:19:16
    against the department for that I don't
  • 00:19:17
    like
  • 00:19:18
    it now I have
  • 00:19:20
    nothing um theoretically against that do
  • 00:19:24
    you agree with thate Nobel Prize
  • 00:19:27
    committee uh when you look at the Noble
  • 00:19:30
    in physics for father sopi I I haven't
  • 00:19:34
    looked at the details of it what I don't
  • 00:19:36
    know what they say for
  • 00:19:40
    fundamental
  • 00:19:42
    uh work
  • 00:19:45
    under synthetic neutral networks for
  • 00:19:48
    Jeffrey Hinton is it
  • 00:19:52
    physic I'd be rather doubtful whether
  • 00:19:54
    it's really
  • 00:19:56
    physics I'm not sure you see Nobel
  • 00:19:59
    prizes you might question some of their
  • 00:20:02
    decisions
  • 00:20:04
    sometimes I would question a few of them
  • 00:20:07
    maybe I would question this one I'm not
  • 00:20:09
    sure you I haven't I haven't looked at
  • 00:20:10
    it carefully it depends exactly what
  • 00:20:13
    they
  • 00:20:14
    say you see it's a technological advance
  • 00:20:17
    I would say it's probably making use
  • 00:20:22
    of I is it a theoretical advance or is
  • 00:20:26
    it's I don't think so is it but I mean
  • 00:20:29
    the Nobel committee normally doesn't
  • 00:20:31
    give the prize for purely
  • 00:20:34
    theoretical I mean it doesn't it does
  • 00:20:37
    you have to have a a physical
  • 00:20:39
    application of it yes now here I'm not
  • 00:20:43
    quite
  • 00:20:46
    sure I I'd have to see what the wording
  • 00:20:48
    is in the Nobel Prize to say whether I'm
  • 00:20:51
    happy with it or not I don't know my
  • 00:20:53
    question to is about this self-driving
  • 00:20:55
    car they are processing the thousand
  • 00:20:58
    hundreds of data maybe there is the
  • 00:21:01
    Consciousness there is the one of the
  • 00:21:04
    way of AI development that we are using
  • 00:21:08
    something like a digital sensus
  • 00:21:11
    collecting the numbers of data about the
  • 00:21:14
    reality around I don't think they're
  • 00:21:17
    conscious in any
  • 00:21:18
    sense but they could drive better than
  • 00:21:21
    humans that's possible I don't know what
  • 00:21:24
    the comparison is now um they certainly
  • 00:21:27
    make stupid ACD for time from time but
  • 00:21:30
    so do humans so so I I I it may be that
  • 00:21:34
    they become more reliable than humans
  • 00:21:36
    and that may not be too far off for all
  • 00:21:38
    I know I have no complaint about that I
  • 00:21:41
    don't think that's any indication that
  • 00:21:43
    they have
  • 00:21:45
    Consciousness after all we have uh
  • 00:21:47
    devices which
  • 00:21:50
    already turn off the lights at certain
  • 00:21:52
    times and maybe they know better when
  • 00:21:54
    the lights when it's getting dark and so
  • 00:21:56
    on or how to how to how how to economize
  • 00:22:00
    on on the on the use of electricity and
  • 00:22:02
    things like that how do you look at the
  • 00:22:04
    AI development and what's your
  • 00:22:07
    prediction about the future of AI see I
  • 00:22:10
    don't really know what AI does these
  • 00:22:14
    days you see so you're asking me a
  • 00:22:17
    question outside my area of expertise I
  • 00:22:20
    would say an area of expertise has to do
  • 00:22:22
    with whether these
  • 00:22:25
    devices actually do what we do I don't
  • 00:22:28
    think they do because they're not
  • 00:22:30
    conscious I don't think they will ever
  • 00:22:32
    become conscious by virtue of being
  • 00:22:35
    computers in our current sense of the
  • 00:22:37
    word I don't know if that's an answer to
  • 00:22:40
    your
  • 00:22:41
    question um it doesn't mean that they
  • 00:22:44
    won't be better than us the biggest risk
  • 00:22:48
    of AI development is I think there is a
  • 00:22:50
    risk involved here part of the risk is
  • 00:22:54
    people thinking that they're
  • 00:22:56
    actually that there is a conscious
  • 00:22:58
    they're conscious yes there might be an
  • 00:23:01
    even more of a risk if they were
  • 00:23:03
    conscious you see it maybe one could
  • 00:23:05
    understand what's involved in
  • 00:23:07
    Consciousness and developed some kind of
  • 00:23:08
    device I'm not calling it computer
  • 00:23:11
    because it in my view it would not be a
  • 00:23:13
    computer it would be something else some
  • 00:23:15
    device which is conscious and since I
  • 00:23:18
    believe Consciousness is a physical
  • 00:23:21
    process I don't think we understand it I
  • 00:23:24
    think it involves the collapse of the
  • 00:23:26
    wave function
  • 00:23:28
    that's partly a negative conclusion from
  • 00:23:30
    I don't see it anywhere else
  • 00:23:34
    um but the collapse of the wave function
  • 00:23:36
    is very
  • 00:23:38
    mysterious and involves certain
  • 00:23:41
    retrocausal things which are a little
  • 00:23:43
    bit
  • 00:23:44
    puzzling I think the way that time works
  • 00:23:48
    is not so clear when you're talking
  • 00:23:50
    about but there are certain
  • 00:23:53
    things which are in contradiction you
  • 00:23:56
    almost say with ordinary causality
  • 00:23:59
    it's not so much that they are it's that
  • 00:24:02
    you have to have different concepts of
  • 00:24:04
    what you mean by
  • 00:24:06
    reality and there are two concepts which
  • 00:24:09
    I've tried to separate from each other
  • 00:24:11
    one is classical reality and the other
  • 00:24:13
    is quantum reality now classical reality
  • 00:24:16
    is the sort of thing we normally talk
  • 00:24:18
    about we can touch we understand using
  • 00:24:21
    our senses but the main difference I'm
  • 00:24:23
    saying is you can ask the system say if
  • 00:24:25
    I I take this glass and I can ask the
  • 00:24:28
    glass I can say hello glass what shape
  • 00:24:30
    are you and don't do it that way but I
  • 00:24:32
    say okay what shape is the glass and I
  • 00:24:34
    say oh it's got a round top it's more
  • 00:24:36
    less cylindrical the classical it's
  • 00:24:39
    classical reality yeah now Quantum
  • 00:24:41
    reality is more
  • 00:24:44
    like well Einstein had a nice Criterion
  • 00:24:48
    but he didn't call it quantum reality
  • 00:24:50
    I'm calling it quantum reality this was
  • 00:24:52
    how do you know that the wave function
  • 00:24:54
    is real is the wave function of a
  • 00:24:56
    particle real or not
  • 00:24:59
    and a good example of this is the spin
  • 00:25:02
    of a spin half
  • 00:25:04
    particle now the spin of a spin half
  • 00:25:07
    particle is a Quantum thing now can you
  • 00:25:10
    ask the system hello hello system which
  • 00:25:14
    way are you
  • 00:25:15
    spinning it doesn't it looks at you
  • 00:25:17
    blankly and says I don't answer
  • 00:25:19
    questions like that ask me a different
  • 00:25:21
    kind of question please the right thing
  • 00:25:23
    to do is you say Okay particle is your
  • 00:25:27
    spin in that particular direction you
  • 00:25:30
    see the spin has an axis the way that
  • 00:25:32
    spin works for a spin half particle it
  • 00:25:35
    has a particular axis that's how you
  • 00:25:37
    describe the quantum state of a spin
  • 00:25:39
    half particle it has one particular
  • 00:25:42
    direction and it spins about that
  • 00:25:43
    direction now Can you ascertain that
  • 00:25:46
    direction no you can't it's Quantum
  • 00:25:49
    reality you cannot ascertain Quantum
  • 00:25:52
    reality you can only confirm it so I
  • 00:25:54
    like to use those two words ascertain I
  • 00:25:57
    can Asain Ain the shape of this glass
  • 00:26:00
    that's classical reality I can only
  • 00:26:03
    confirm Quantum reality I can if I think
  • 00:26:07
    I know which direction it's spinning I
  • 00:26:09
    said yeah I've got my calculation done I
  • 00:26:11
    said you've done this blah blah yes it's
  • 00:26:13
    probably by now spinning that way I say
  • 00:26:15
    hello State I think you're spinning that
  • 00:26:18
    way have I got you have I got it right
  • 00:26:20
    and if I have got it right it says yes
  • 00:26:22
    with certainty so that was Einstein's
  • 00:26:25
    Criterion so if you can confirm with
  • 00:26:27
    certainty
  • 00:26:29
    that it's then this gives you an element
  • 00:26:32
    of reality he called it an element of
  • 00:26:33
    reality I'm calling it an element of
  • 00:26:36
    quantum reality classical reality is the
  • 00:26:39
    other kind you can conf you can
  • 00:26:40
    ascertain classical reality you can only
  • 00:26:43
    confirm Quantum reality and you need
  • 00:26:46
    those two ideas and you need to separate
  • 00:26:49
    them and Quantum reality behaves very
  • 00:26:52
    peculiarly it actually behaves retr
  • 00:26:55
    causally what you might think there are
  • 00:26:58
    these experiments with I think you talk
  • 00:27:01
    about the Nobel Prize the one before
  • 00:27:03
    that one to Zing Ear and people about
  • 00:27:08
    these I think epr type experiments I
  • 00:27:11
    can't quite remember what they got it
  • 00:27:12
    for but it's something like that you
  • 00:27:14
    have these effects which seem to affect
  • 00:27:16
    the instantaneous you see you share a a
  • 00:27:19
    spin between Alice and Bob and Alice and
  • 00:27:23
    Bob originally have a spin zero and
  • 00:27:26
    their spins are opposite so if Alice's
  • 00:27:29
    spin is this way Bob's is this
  • 00:27:31
    way now suppose Alice measures her Spin
  • 00:27:34
    and she finds it to be that
  • 00:27:36
    way retr
  • 00:27:39
    causally along the past like cone so
  • 00:27:42
    it's not just simultaneous worse than
  • 00:27:44
    that it's into the past but not faster
  • 00:27:48
    than the light could go from this one to
  • 00:27:50
    this one so strange way around but retr
  • 00:27:54
    causally it becomes the opposite of
  • 00:27:56
    Alice's measurement Bob can't ascertain
  • 00:27:59
    it so he can't she can't send a signal
  • 00:28:01
    faster than light because he can only
  • 00:28:03
    confirm it he doesn't know which way it
  • 00:28:06
    is so you need that idea to make sense
  • 00:28:10
    of these epr Einstein pki Rosen type
  • 00:28:14
    experiments which I think would I'd have
  • 00:28:16
    to check exactly what the Nobel Prize
  • 00:28:18
    was the year before this one but I think
  • 00:28:22
    it was to do with that that's a very
  • 00:28:24
    important and fascinating Discovery but
  • 00:28:27
    to to understand what's going on I think
  • 00:28:29
    the best way to do it is using Quantum
  • 00:28:32
    reality and you you certainly can't send
  • 00:28:35
    a signal faster than light by these
  • 00:28:38
    means but you can
  • 00:28:40
    retrocausal backwards faster than light
  • 00:28:43
    or not as fast almost as fast as light
  • 00:28:46
    backwards if it's only Quantum reality
  • 00:28:49
    as long as we don't understand how
  • 00:28:52
    Quantum world work we cannot replace it
  • 00:28:56
    into I think it's not as bad as that you
  • 00:28:58
    see don't understand is
  • 00:29:01
    saying rather trying to put it into a
  • 00:29:03
    classical
  • 00:29:04
    perspective we can understand the
  • 00:29:06
    mathematics of it and we can get used to
  • 00:29:08
    it okay and that is involving an
  • 00:29:12
    understanding if somebody asks somebody
  • 00:29:14
    ask me a question I may not understand
  • 00:29:16
    it that well but I could do my best and
  • 00:29:19
    I might understand the quantum mechanics
  • 00:29:21
    well enough to give the answer that
  • 00:29:23
    quantum mechanics would say now that
  • 00:29:25
    means understanding sure it's an
  • 00:29:27
    understanding of what's going on you
  • 00:29:30
    there's this famous comment was it
  • 00:29:31
    nobody understands quantum mechanics was
  • 00:29:34
    that I I know
  • 00:29:36
    I I think I think it was bore yes no you
  • 00:29:40
    see I think that's
  • 00:29:42
    misleading you
  • 00:29:44
    see
  • 00:29:46
    understanding doesn't require it to be a
  • 00:29:50
    classical understanding we are
  • 00:29:53
    determined by the nature to understand
  • 00:29:56
    the classical world Quantum world is
  • 00:29:59
    indeterministic and it's
  • 00:30:01
    ununderstandable for our our mind a
  • 00:30:04
    little bit you need to use the formulas
  • 00:30:07
    to try to understand the quantum world I
  • 00:30:09
    think it's it's unfortunate to use the
  • 00:30:11
    word understanding in limited you can
  • 00:30:14
    say I don't know what word to use but
  • 00:30:18
    if understanding in the in the sort of
  • 00:30:21
    classical sense and that sure that fails
  • 00:30:24
    yes that does fail but it's not lack of
  • 00:30:27
    understanding you get the picture and
  • 00:30:28
    you can see oh yes I know how to make
  • 00:30:31
    the predictions in quantum mechanics
  • 00:30:33
    work and they can be quite yes no
  • 00:30:35
    predictions some of these predictions
  • 00:30:37
    don't have to be just probabilities so I
  • 00:30:40
    think the view is it gets sort of mixed
  • 00:30:41
    up with the idea oh you only know the
  • 00:30:43
    probabilities or something I think
  • 00:30:45
    that's
  • 00:30:47
    misleading these things are puzzling not
  • 00:30:51
    just because they're probabilistic they
  • 00:30:53
    are sometimes just probabilistic but
  • 00:30:55
    that's what makes them consistent by
  • 00:30:57
    having them only probabilistic but the
  • 00:30:59
    things which I find Most Fascinating
  • 00:31:01
    about quantum mechanics are not
  • 00:31:03
    probabilistic things they're like these
  • 00:31:05
    epr
  • 00:31:06
    effects sure it's probabilistic if you
  • 00:31:09
    ask somebody to to make a measurement
  • 00:31:11
    and it's only a Quantum reality that I
  • 00:31:15
    mean he's trying to make a classical
  • 00:31:17
    reality measurement he's only going to
  • 00:31:19
    get a probability as
  • 00:31:21
    answer I just think one has to separate
  • 00:31:23
    the
  • 00:31:25
    quantum reality from the classical
  • 00:31:27
    reality and and realize that the quantum
  • 00:31:30
    reality behaves differently yeah F but
  • 00:31:33
    it doesn't mean it's beyond
  • 00:31:36
    understanding I don't know if that's the
  • 00:31:38
    way people use the word understanding
  • 00:31:40
    often in that that way I think that's a
  • 00:31:42
    bit a bit misleading thank you very much
  • 00:31:46
    for your time right okay my pleasure no
  • 00:31:49
    it's been good fun thank you
Tags
  • AI
  • Consciousness
  • Gödel's Theorem
  • Computability
  • Quantum Mechanics
  • Artificial Intelligence
  • Understanding
  • Intelligence
  • Philosophy
  • Technology