Yoshua Bengio - Towards Neural Nets for Conscious Processing and Causal Reasoning

  Рет қаралды 9,802

Center for the Future Mind

Center for the Future Mind

Күн бұрын

Пікірлер: 14
@BooleanDisorder
@BooleanDisorder 9 ай бұрын
This guy is a gift. Also, he could make it big in ASMR! Pleasant voice. 😊
@jamesbuchanan27
@jamesbuchanan27 2 жыл бұрын
"There's no executive here, it's just a piece of network that is trained" ... Really important words!
@iamr0b0tx
@iamr0b0tx 4 ай бұрын
Very good questions 💯
@ハェフィシェフ
@ハェフィシェフ 2 жыл бұрын
Such an amazing talk, always a pleasure to hear the intuition of an AI veteran
@TheRohr
@TheRohr 2 жыл бұрын
Awesome talk, thank you very much!
@tukity
@tukity Жыл бұрын
1:04:09 so interventions are verbs and therefore llm have built in structure, i.e. grammar, that map to bayesian reasoning? thus ilya is right in that if llm can generate correct output iff it understands and reason about, to a certain extent, strucutre of the world. another word, llm is enough to achieve human level intelligence.
@jamesbuchanan27
@jamesbuchanan27 2 жыл бұрын
Can you please share a link for the slides?
@kevalan1042
@kevalan1042 2 жыл бұрын
mind blowing
@lucanthony2209
@lucanthony2209 Жыл бұрын
Can we also get the slides?
@phpn99
@phpn99 Жыл бұрын
Both System 1 and System 2 are conscious ; the difference is that System 1 is non-declarative - i.e. it occurs out of the scope of language and thought. Consciousness is not thought - it's the sense of reality, like one has a sense of sound or sight. The sense of reality is central to cognition because it establishes the spatio-temporal frame of reference we call 'now'. Machine don't have a 'now', their processes happen in what amounts to an eternal present because computer memory is a spatial embedding, whereas the living creature's memory is a functional embedding.
@margrietoregan828
@margrietoregan828 Жыл бұрын
‘Thought’, ‘mind’, ‘intelligence’ & ‘consciousness’ are all information-related phenomena and it is not difficult to show that one of the principal (& completely inexcusable) reasons why we have not so far come to any good & proper - nor fully verifiable - understanding of these otherwise greatly sought-after yet still highly mysterious phenomena is due in great part to the simple fact that we do not presently also have a good & proper - that is, we do not presently also have a clear & fully verifiable - understanding/science of ‘information’ itself. Although I have personally had the (altogether dubious) fortune of having been able to figure out ‘information’s’ correct (& fully verifiable) ontological identity, and although I’m not going to divulge its formalistic definition here in this KZbin comment (without which formalistic definition it is not possible to establish a full & accurate science of the phenomenon, but with it it is) nevertheless I can assure you that with it in hand - that is, with ‘information’s’ correct ontological identity within one’s investigative arsenal - the exercise of determining the ontological identities of all of the other directly information-related phenomena such as ‘thought’, ‘mind’, ‘intelligence’ & ‘consciousness’ (to far less than exhaust the list) becomes one of no great difficulty. Obversely, once ‘information’s’ correct (verifiably correct) ontological identity is properly recognised, not only do the correct ontological identities of all of its most closely related cousins (as above) become nicely elucidated, but so also does the woeful incorrectness - the hopeless & excruciatingly embarrassing incorrectness - of all of information’s current imposters, along with ‘consciousness’s’ own struggling wanna-bees too. So much so that it becomes fully & quite verifiably obvious that (i) digits are not information, that (ii) thinking is not a computable phenomenon, & (iii) that computers do not because they cannot, think. Let alone do so either intelligently or consciously. Even less so with full cognitive self-conscious awareness. And (iv) our own nature-built, real live flesh & blood, internal thinking machine is not a computer. Although it pertains to millions & millions of different things - things which we ourselves call colour, sound, taste, odour, texture, temperature, balance, love, hate, joy, happiness, the feeling of the need to micturate & defecate, vomit, sneeze, cough, choke etc, etc, etc in its generic form ‘information’ turns out to be a completely knowable, identifiable, measurable, quantifiable phenomenon & it is also simple. And our universe is chockablock full of it. It’s also something staring at you right in your face. Hiding in plain sight. Knowing information’s correct ontological identity allows any kind & amount of it to be both identified, & to be traced & tracked, when- & wherever any of it resides & moves, here in our universe, including any of it being operated on inside our own internal, nature-given, flesh & blood thinking machine. Performing this identifying//tracing-&-tracking exercise on any of the information that eventually makes it into our own conscious awareness is not only a fully doable task, but it is the one which readily highlights the exact ontological identity of all of our mental phenomena - including ‘thought’, ‘mind’, ‘intelligence’ & ‘consciousness’…
@Gabcikovo
@Gabcikovo Жыл бұрын
Good boy, Yoshua 😏
@Gabcikovo
@Gabcikovo Жыл бұрын
Just remember that the Turing Award should have also gone to Tomáš Mikolov for hiw word2vec for Google and more
@_ARCATEC_
@_ARCATEC_ 2 жыл бұрын
💓
Прямой эфир | 29.12.2024
1:03:00
ABU-SADDAM SHISHANI [LIVE]
Рет қаралды 20 М.
ССЫЛКА НА ИГРУ В КОММЕНТАХ #shorts
0:36
Паша Осадчий
Рет қаралды 8 МЛН
Sigma girl VS Sigma Error girl 2  #shorts #sigma
0:27
Jin and Hattie
Рет қаралды 124 МЛН
Anil Seth's "Being You? A New Science of Consciousness"
1:13:48
Center for the Future Mind
Рет қаралды 3,7 М.
Yoshua Bengio Guest Talk - Towards Causal Representation Learning
1:31:00
Brady Neal - Causal Inference
Рет қаралды 32 М.
Design e Inteligência Artificial
1:30:02
Instituto de Inovação, Competitividade e Design.
Рет қаралды 59
#063 - Prof. YOSHUA BENGIO - GFlowNets, Consciousness & Causality
1:33:08
Machine Learning Street Talk
Рет қаралды 40 М.
Counterfeiting Humans: A Conversation with Daniel Dennett and Susan Schneider
1:18:53
Center for the Future Mind
Рет қаралды 10 М.
ССЫЛКА НА ИГРУ В КОММЕНТАХ #shorts
0:36
Паша Осадчий
Рет қаралды 8 МЛН