I suspect that Andrew Ng and Yann LeCun have missed the main reason why the big companies want regulations. Years ago the founder of a self-driving company told me that he liked safety regulations because if you satisfied them it reduced your legal liability for accidents.
AI
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Understanding Over Experience: Novel Risk Management Strategy
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Risk management of things that are totally novel and for which you have zero experience and little understanding is very different from normal risk management. In the absence of any experience, understanding is all you have. I'd go with whoever has the best understanding.
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Tech Trinity: AI, Quantum, and BioTech Reshape Global Economy
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Artificial Intelligence, Quantum Tech, and Bio Tech will make monumental shifts in the world. This new Tech Trinity will redefine our economy, both threaten and fortify our national security, and revolutionize our intelligence community. None of us are ready for this.
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The Tech Trinity: AI, BioTech, and Quantum Technologies
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The Tech Trinity: Artificial Intelligence, BioTech, Quantum Tech https://
oodaloop.com/archive/2023/1
0/12/the-tech-trinity-artificial-intelligence-biotech-quantum-tech/
… via @ooda -
Starbucks Coffee Prices Surge Amid Economic Inflation Concerns
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'The average Starbucks coffee has gone from under $3 at the start of the pandemic to $3.63 in the second quarter, according to Numerator, a marketing data company.' https://
wsj.com/economy/the-ec
onomy-is-great-why-are-americans-in-such-a-rotten-mood-6e1044d8
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Fine-tuning Embedders vs Embeddings: Key Differences Explained
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What is the difference between fine-tuning an embedder vs. fine-tuning embeddings? Fine-tuning embeddings would be like Deep Memory from Activeloop where you have an additional model transforming embeddings in a better representation for your dataset?
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Model Transparency and Training Data Release Critical for AI Accountability
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They really need to release their model and full transcripts to see what happened, but I'd be extremely shocked if the model described anything not already in the training data.
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Model Fine-tuning and Data Memorization in AI Systems
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I'm not wrong on methodology – but perhaps I did overstate this. The model was fine-tuned on papers describing exactly the thing they then asked questions about. In my experience models remember fine-tuning data precisely, and regurgitate it on demand.
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Research Presentation on Text Embedding Inversion Tomorrow
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tomorrow I'll be presenting my research about text embedding inversion to this group at 10am est! follow the link if you want to tune in
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AI Hardware Summit with Jim Kxa Announced
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AI Hardware with @jimkxa at this year's AI Hardware Summit.