Founder & CEO @ Tipalo - COGNITIVE EDGE AI acting in real-time will usher in a new era of philosophy, logical thinking & space technology
ANOTHER TYPICAL EXAMPLE OF YANN LECUN BEING COMPLETELY OUT OF HIS DEPTH - HE ADMITS HE HAS AGAIN NO IDEA, FOR HOW MUCH LONGER MARK ZUCKERBERG? "something we have no idea how to solve, at least I have no idea to solve is can we get machines to learn hierarchical representations of action plans." Yann LeCun THE 3 CHALLENGES "1. getting machines to learn to REPRESENT THE WORLD & proposing self-supervised learning 2. getting machines to REASON IN WAYS that are compatible with essentially gradient based learning 3. can we get machines to LEARN HIERARCHICAL REPRESENTATIONS OF ACTION PLANS" OPEN QUESTION Yann admits in this interview he has again no idea on "How to solve intelligence?", for how much longer Mark Zuckerberg? EPILOGUE Good gracious Yann LeCun , you are so embarrassing, please speak only for yourself. What are all your rewards & prizes worth? MY2CENTS What is learning? 1. ACCUMULATION IS NOT LEARNING, only accumulation, see education in school. 2. WE LEARN ONLY FROM OUR OWN EXPERIENCE, therefore we need: a. a BODY, with sensors, actuators & organs for "own needs". b. a SHORT-TERM MEMORY, in order to accumulate step by step new information c. a SELF-LEARNING MECHANISM, in order to link & integrate the accumulated information with the actual knowledge and store it into long-term memory d. the FEEDBACK is an absolute requirement for learning, as it proves via experience, IF our actions have success, or not e. a SOCIAL ENVIRONMENT is required, as we can act & react within a society & subsequently accumulate knowledge from others f. LEARNING HAS EVOLVED DURING EVOLUTION, therefore we should study the evolution of the brain, from insects via mammals/fishes/birds to primates. LINKS NEUROSCIENCE https://lnkd.in/d9H4SWxC NEUROROBOTICS https://lnkd.in/g_55qvFX NEURAL NETWORKS ARE IDEALLY SUITED TO IMPLEMENT KNOWLEDGE AND THINKING - TOO BAD OR THANK GOD MOST "AI" PEOPLE DON'T SEE THAT https://lnkd.in/eTVd9A2J A COGNITIVE FRAMEWORK ENABLES COMPLEX BEHAVIOR, REGARDLESS OF ITS LEVEL OF INTELLIGENCE - THAT IS A NERVOUS SYSTEM BASED ENTIRELY ON SPIKING NEURAL NETS https://lnkd.in/dJBsEzen SOME OF US QUESTION EVEN THE DEFINITION OF AGI - THE POINT IS WE HAVE TO CATEGORIZE INTELLIGENCE BY TAKING EVOLUTION INTO ACCOUNT https://lnkd.in/dhSJTby4 THE ROAD TO AGI ALSO IMPLIES THE DECISIONS HOW TO IMPLEMENT BIOLOGICAL FEATURES IN THE DESIGN OF INTELLIGENT SYSTEMS https://lnkd.in/diueBsGb AI IS NOT MATH - CONTRARY TO THE OPINION OF YANN LE CUN & CO https://lnkd.in/ec_XFZwp FALSE COMPARISON: MATH & INTELLIGENCE = APPLES & ORANGES https://lnkd.in/dMPEbFq5 YANN LECUN PROVES WITH EVERY NEW POST HIS INABILITY TO UNDERSTAND BIOLOGICAL INTELLIGENCE, LET ALONE DUPLICATE IT - HOW LONG WILL MARK ZUCKERBERG TOLERATE HIM? https://lnkd.in/dAUjYRfD PAYING HOMAGE TO YANN LECUN - IS THIS MEGALOMANIA OR SIMPLY FALSE MODESTY? https://lnkd.in/dB8EXUVf
ha, it seems I've missed the point when Yann LeCun abandoned the purely deep learning approach to AI (just train a huge neural network and AI will magically appear) and switched to a more reasoned approach including parts of GOFAI. I can't say I disagree with him, if he could also just abandon the "energy based models" and accept that they are really Bayesian inference without the entropy part, that would be perfect :) https://lnkd.in/dztVAX3z
How to solve intelligence | Yann LeCun and Lex Fridman
https://www.youtube.com/
Krys Norman
8mo
I agree with your 2cents entirely, Walter.
Ed Mwanza
8mo
Brain evolution is horribly neglected in ML research.
It's enough to have basic knowledge in neuroanatomy and neuroscience to understand that AI is a cheap pickpocket trick. Or to take a look at the DIKW pyramide to realize that technology will never reach the W.
Kenneth Lloyd
8mo
Action plans need not be hierarchical, only practical and plausible given the contexts in which they are considered. This is part of a learned winnowing process, knowing that process and what was learned may be deceptive, wrong, incomplete or paradoxical. Making that process effective and efficient can be elusive, not impossible.
Nicholas Clarke
8mo
Wow, thank you I was just about to type all of the words that you wrote now reading in your comments because I feel just from the stupid title of this I could have said the first couple of paragraphs that you wrote already. Ha ha once again super lined up. I don’t really have to type anything other than bravo. Thank you for sharing your truth so clearly and loudly. I carry this along with you.
Intellectual Property Attorney - Legal, Managerial, Technical - USPTO Reg. 60652
8moTagged for follow up