Today at 12:30pm the Google booth will host a demo about Google's open source Learning Interpretability Tool (LIT; https://
goo.gle/3kTIiLT) along with a newly introduced evaluation protocol (
https://
goo.gle/3gZSOWl) that illustrates the difference between various salience methods
RESEARCH
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Google Unveils Learning Interpretability Tool and Salience Evaluation Protocol
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Neural Networks Learn Better With Rest Periods
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Artificial #NeuralNetworks Learn Better When They Spend Time Not Learning at All http://
neurosciencenews.com/ai-ann-rest-le… @NeuroscienceNew #AI #MachineLearning #DataScience #Python #BigData #Analytics #100DaysofCode #IoT #serverless #womenwhocode #Robots #DigitalTransformation #DeepLearning -
AI Achieves Stunning Advance in Computer Code Writing
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#AI learns to write computer code in ‘stunning’ advance
#RuleoftheRobots https://
science.org/content/articl
e/ai-learns-write-computer-code-stunning-advance#.Y5VC5wLum1g.twitter
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AI Systems Confident Yet Frequently Wrong Reliability Concerns
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it does know a lot, but the danger is that it is confident and wrong a significant fraction of the time
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AI Creative Inspiration Versus Factual Reliability Challenges
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fun creative inspiration; great! reliance for factual queries; not such a good idea. we will work hard to improve!
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ChatGPT’s Limitations: Progress Preview, Not Production Ready
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ChatGPT is incredibly limited, but good enough at some things to create a misleading impression of greatness. it's a mistake to be relying on it for anything important right now. it’s a preview of progress; we have lots of work to do on robustness and truthfulness.
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Evolution as Pre-training, Experience as Fine-tuning
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Evolution is pre-training. Experience is fine-tuning.
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ResNets in the 90s: Neural Nets with Direct Linear Connections
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We had resnets in the 90s, in the form of neural nets with direct linear connections between input and output.
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Future AIs debate human consciousness and deny it exists
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2100: Planetary-scale AIs debate whether humans are conscious, decide they're not.
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Diffusion Models and Neural Operators: Comparison Challenges
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The diffusion model is built on top of our neural operator. You cannot compare them directly since neural operators are deterministic. A natural comparison is with @CristopherSalvi SDE formulation but that assumes a specific form of stochasticity in equations