Jeff Bezos Is Funding a Wild Hunt for the Brain’s ‘Core Algorithm’ With $500 million in funding and a reported $2.5 billion valuation, Flourish wants
to reinvent AI by putting real neurons under the microscope.
1,659 karma · joined December 24, 2007
i think you missed "hubris" :)
uh did you have a counter proposal? i have a feeling i'm going to prefer claude's approach...
https://petapixel.com/2024/01/02/cameras-content-authenticit...
seems like a better way
seems pretty unfair to exclude motor skills, especially given 1) how central they are to human economic activity, and 2) how moravec's paradox tells us they are the hard part.
https://en.wikipedia.org/wiki/Penrose%E2%80%93Lucas_argument
this actually puts it better:
The Penrose–Lucas argument about the implications of Gödel's incompleteness theorem for computational theories of human intelligence was criticized by mathematicians,[16][17][18][19] computer scientists,[20] and philosophers,[21][22][23][24][25] and the consensus among experts[7] in these fields is that the argument fails,[26][27][28] with different authors attacking different aspects of the argument.[28][29]
so, rejected by consensus. someone should update the book page so this expert rejection is clearer.
>> "The book's thesis is considered erroneous by experts in the fields of philosophy, computer science, and robotics."
> Wooooah, there. That's a massive accusation to add, unsourced, and without any discussion. There needs to be a source for this statement, not to mention an opposing view. It seems unlikely the guy would win an award for a book no one thinks is right. I'm deleting it unless someone comes up with a pretty good source. Joker1189 (talk) 20:43, 27 July 2010 (UTC)
The source was provided with the edit: L.J.Landau (1997) "Penrose's Philosophical Error" ISBN 3-540-76163-2 http://www.mth.kcl.ac.uk/~llandau/Homepage/Math/penrose.html Spot (talk) 03:08, 31 July 2010 (UTC)
https://www.nature.com/articles/s41586-025-09255-w
yes the Myo was a similar, earlier, and less capable technology also based on EMG sensing.
https://forum.effectivealtruism.org/posts/ZS9GDsBtWJMDEyFXh/...
AI by the people for the people. Open Source Generative AI across all modalities (image, text, code, music, video, 3d, molecules, medicine). Open source for transparency, trust, accountability, and alignment. Come join the startup taking on big tech to make a better world. Stable Diffusion was just the beginning.
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Neural Interfaces Research Infrastructure and Productionization
Reality Labs (FRL, part of Meta) is seeking a Software Engineer to help us unleash human potential by eliminating the bottlenecks between intent and action. To achieve this, we’re building a practical neural interface drawing on the rich motor neuron signals that can be measured non-invasively. Our research lies at the intersection of computational neuroscience, machine learning, signal processing, statistics, biophysics, motor learning, perceptual psychophysics, 3D interfaces, AR/VR and human-computer interaction. We’re looking for people who want to shape the future of this technology and are excited about joining our collaborative research team that has grown out of the acquisition of CTRL-labs.
interested? contact spot@draves.org
In this role, you will drive cutting edge research and development for our EMG machine learning platform; create new experiments and models that unlock the capabilities of our technology; productionize our research results, and work with scientists, software engineers, hardware engineers and designers to advance the company’s science and AR/VR agenda. To do so, you will need strong problem solving abilities, excellent communication skills, extensive programming experience, and a passion for efficient tools and systems.
Facebook Reality Labs is looking for Research Engineers to help us unleash human potential by erasing the bottlenecks between intent and action. Our neural interface research and development lies at the intersection of computational neuroscience, machine learning, signal processing, biophysics, and human-computer interaction. As Research Engineer, you will: drive cutting edge research and development for our core machine learning platform; create new experiments and models that unlock the capabilities of our technology; work across scientists, software engineers, hardware engineers and designers to set the company’s scientific agenda. To do so, you will need strong problem solving abilities, excellent communication skills, extensive programming experience, and a passion for efficient tools and systems.