Philipp Singer (
@ph_singer
), aka #Psi on #Kaggle, reclaimed the top spot in the competitions category last month. Check out this previous (and still relevant) interview that highlights his insights into #MachineLearning and his remarkable journey. http://
ow.ly/Swy550MqQSs
AI
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Philipp Singer Reclaims Top Kaggle Competitions Spot
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Cotton Candy-Inspired Couture Gown Generated by Midjourney
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A couture gown inspired by cotton candy. #midjourney
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IdeasAI Generates Startup Ideas Using GPT-3 Technology
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https://
futurepedia.io/tool/ideasai generates startup ideas using GPT-3 #AI #GPT3 -

Cannabis-Inspired Couture Gown Created with Midjourney AI
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A couture gown inspired by cannabis. #midjourney
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AI-Generated Fashion: Semiconductor Wafer Couture Gown Design
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A couture gown inspired by semiconductor wafers. #midjourney
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AI-Generated Couture: Ramen Dresses and Creative Fashion Design
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I’m having fun imagining high fashion couture gowns made of random everyday things. This is a dress made of dry ramen. Throw out some ideas for materials and I’ll share them here. #midjourney
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AI Progress Hype: Gap Between Expectations and Actual Capabilities
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Recall that circa 2015-2016 AI was about to replace half of all jobs, including all drivers, most doctors, etc. People's perception of AI progress is rarely grounded in actual capabilities — people are always projecting their hopes on the latest hype trend (e.g. deep RL)
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Deep Learning’s Economic Impact Falls Short of Expectations
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There's a parallel to deep learning itself — the economic impact of the tech has been ~10% of what folks expected ~8 years ago, and being a provider of deep learning APIs / models has been a rather lousy business. Although individual engineers have done very well for themselves
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Deep Learning Models as Knowledge Retrievers and Action Routers
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Yes, once DL models are used not as raw knowledge stores (which doesn't make a lot of sense) but as knowledge retrievers and action routers, they will be as up-to-date as the underlying database. https://
t.co/yHN13PyJeA -
Tech Commoditization and Engineer Value in Deep Learning
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The more useful the tech turns out to be the more it will get commoditized and the harder it will be to monetize (paradoxically). The only clear winners are individual engineers with great deep learning NLP skills.