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"Not everyone has an internal monologue" -interesting, but where are the research papers discussing thishttps://ryanandrewlangdon.wordpress.com/2020/01/28/today-i-learned-that-not-everyone-has-an-internal-monologue-and-it-has-ruined-my-day/ …
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New blog post: Contrastive Self-Supervised Learning. Contrastive methods learn representations by encoding what makes two things similar or different. I find them very promising and go over some recent works such as DIM, CPC, AMDIM, CMC, MoCo etc.https://ankeshanand.com/blog/2020/01/26/contrative-self-supervised-learning.html …
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A rat with no brain? https://www.discovermagazine.com/mind/a-rat-with-no-brain … Not quite, but a rat equivalent of the famous Lorber "is your brain really necessary?" case has been discovered.pic.twitter.com/qFZGEi5fsv
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more proof is coming out that glial cells are doing a lot more brain processing that we previously imagedhttps://www.quantamagazine.org/glial-brain-cells-long-in-neurons-shadow-reveal-hidden-powers-20200127/ …
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Nice high-level overview of recent progress: Deep Learning State of the Art (2020) - MIT Deep Learning Series - YouTubehttps://www.youtube.com/watch?v=0VH1Lim8gL8 …
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An abstract language of thought for spatial sequences in humanshttps://www.biorxiv.org/content/10.1101/2020.01.16.908665v1 …
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Excellent paper reviewing how concepts may be stored in the brain in relation to grid cells and current machine learning techniques: "Concepts and Compositionality: In Search of the Brain’s Language of Thought" http://static1.squarespace.com/static/54763f79e4b0c4e55ffb000c/t/5e16c95d81ab92511eb96c99/1578551647035/Frankland-Greene-Concepts-Compositionality-LoT-AnnRevPsy20.pdf …https://doi.org/10.1146/annurev-psych-122216-011829 …
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Computational Power Found in Dentrites of Neuronshttps://www.quantamagazine.org/neural-dendrites-reveal-their-computational-power-20200114/ …
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My machine learning education has progressed to the point where I lose sleep tossing around a “brilliant” idea, only to find the next day that it doesn’t actually work. This is great! I talked about this a few years ago:https://amasad.me/carmack
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GPT-2 chess is promising. After an hour of training, 1.5B is pretty good at opening theory. Longer sequences tend to fail due to invalid moves, but this shows it's possible in principle to make a GPT-2 chess engine. And maybe after more training it'll make fewer invalid moves.pic.twitter.com/DqC4WiPfHV
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Deep Reinforcement Learning is a waste of time http://www.jtoy.net/blog/deep-reinforcement-learning-is-a-waste-of-time.html …
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Excited for some light reading :) The Consciousness Prior https://arxiv.org/abs/1709.08568
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A concise and beautiful summary of my tutorial! Thanks
@RobertTLangehttps://twitter.com/RobertTLange/status/1204109176261238789 …
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nice article on evolution strategies instead of gradient descent for deep reinforcement learninghttps://lilianweng.github.io/lil-log/2019/09/05/evolution-strategies.html …
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Habits that have a high rate of return in life: - sleep 8+ hours each day - lift weights 3x week - go for a walk each day - save at least 10 percent of your income - read every day - drink more water and less of everything else - leave your phone in another room while you work
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Humans might Recognize Objects by Visualizing Their “Skeletons”https://www.scientificamerican.com/article/no-bones-about-it-people-recognize-objects-by-visualizing-their-skeletons/ …
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I've started writing a book about artificial intelligence, aiming to publish end of year. The book essentially tries to give a realistic view of where we are in our progress (while we are in the middle of a AI hype craze), and possible directions of research. Ping me for ideas
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Your Cortex Contains 17 Billion Computershttps://medium.com/the-spike/your-cortex-contains-17-billion-computers-9034e42d34f2 …
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