Let's say no in case one of them is listening 😉 More seriously whether you're a for-profit, non-profit, public or private, the truth is that rich people can always mess with you. Hopefully they won't and we'll try to resist if they do!
AI
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AGI Token: How AI Agents Generate Economic Value
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This is about $AGI, the AGI Token AGI Agents will likely generate transformative economic value: AGI Nodes X AGI Agents = AGI Token ($AGI) http://
MONTREAL.AI: Winning the #AGI Race #AGI #MontrealAI -
Twitter Impersonation Crisis: Inside Account of Eli Lilly Incident
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Has anyone published a blow-by-blow account yet of what was going on inside Twitter yesterday when the Eli Lilly (and other amazing impersonations) thing happened? I refuse to believe there's no-one inside anonymously talking to the press about it
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Beam-style computation support designed but not yet implemented
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Correct, the underlying API / infra is designed to potentially allow Beam-style computation. We have not implemented it and it's currently deprioritized (the current adapt() is serial and single-threaded). But we could if there's demand in the future — the design is there.
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Why Investors Push Startups to Burn More Money
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Interestingly most investors usually want startups to burn more, because that means they would need them more haha (and also because they think more burn always = more growth). The startup ecosystem is a bit broken in that way IMO
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TensorFlow Graph Performance Eliminates Python Slowness Issues
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The fact that we're able to do everything as part of the TF graph is really nice — Python slowness is never an issue. There's no need for us to rewrite anything in, like, Cython or Rust.
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Keras Preprocessing Layers: High-Performance In-Graph Implementation
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All the work is done in Keras preprocessing layers, which are implemented in TF ops (everything is 100% in-graph!) so it's highly performant. During training (presumably on GPU/TPU) you'd use async preprocessing in TF data to avoid CPU preprocessing being a bottleneck.
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Leveraging Holistic Patient Data for Improved Population Health Outcomes
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The key to positive population health outcomes is to leverage data that provide holistic profiles of patients, using technology to work on preestablished codes to bridge the cost of care. Source @techmenttech Link https://
bit.ly/3TiJKcy via @antgrasso #HealthTech #Healthcare -
AI Generates Book Synopses: Try Our New Creative Tool
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Earlier this week, the world celebrated International Book Lovers Day. So this week's preset is all about books. Enter a book name (make something up!) and our AI model will generate a synopsis. Try it out yourself in our Playground – https://t.co/30GOP00ZU1 pic.twitter.com/syk61GjCx1
— Cohere (@cohere) 11 novembre 2022Earlier this week, the world celebrated International Book Lovers Day. So this week's preset is all about books. Enter a book name (make something up!) and our AI model will generate a synopsis. Try it out yourself in our Playground – https://
hubs.li/Q01s6X8t0 -
Top Innovators Share What to Look for in MLOps Jobs
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Planning your next move? Check out what these top innovators say you should look for in your next job. #MLOps