We don’t honestly know the best approaches to rebuilding companies around AI agents, especially in ways that expand competitive advantage & augment existing human capabilities. Practical agents are merely months old. Experimentation (and productive failures) will be required.
RESEARCH
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Deep Learning with TensorFlow and Keras 3rd Edition Book
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Deep Learning with TensorFlow and Keras — Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models (3rd Ed., 667 pages): http://
amzn.to/3gitVEJ v/ @PacktDataML —————
#DataScientist #DataScience #AI #MachineLearning #ML -
Claude Shannon helped kickstart machine learning
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Claude Shannon Helped Kick-start Machine Learning — “Shannon didn’t bother predicting the future—he just went ahead and invented it”: https://
spectrum.ieee.org/claude-shannon
-information-theory
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See this award-winning book: https://
amzn.to/3L1yQES -
WorldCache framework accelerates diffusion world models 3.7x faster
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What if your AI world model could run 3.7x faster without sacrificing quality? Researchers from the Chinese Academy of Sciences and ETH Zurich introduce WorldCache—a caching framework for diffusion world models. Instead of naively skipping steps, it uses a curvature-guided score
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Enactive AI: Learning by Acting, Not Just Processing Data
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What if AI learned by acting, not just processing data? Banafsheh Rafiee and Richard Sutton are pushing for a new direction: Enactive AI. Instead of treating perception as passive input processing, their method sees it as active, embodied skill — agents learn by doing and
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Human creativity’s broad leaps, not blind guesses, are key to AGI
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True, not blind guesses – that’s what differentiates human creativity from AIs (to date) and from evolution. Humans can cut through the search space and make broad leaps, and nobody knows how. Mysterious creativity… if we can create the algorithm for that, then we have AGI.
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The model is the ecosystem; capability is fundamental
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the model is the ecosystem – always has been, always will be! everything else just helps the model get to an outcome faster/ cheaper tho nothing helps if the model itself is incapable
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Perplexity Digest to Likely Use Deep Research
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The next Perplexity Digest feature will likely be powered by Deep Research. Users will be able to schedule and customize periodic updates from a wide range of connected sources, which will also be sent via email.
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Ensemble DL Model for Accurate Tomato Leaf Disease Classification
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Deep Learning Based Ensemble Model for Accurate Tomato Leaf Disease Classification by Leveraging ResNet50! #BigData #Analytics #DataScience #AI #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding
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Deep research better with ChatGPT according to tunguz
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Deep research is still better with ChatGPT IMHO.