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RESEARCH
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Artificial Neural Networks: Tools and Frameworks Guide
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AI-Driven Discovery and Privacy-Preserving Health System Infrastructure Shifts
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AI-driven discovery and privacy-preserving computation are moving from research programs toward operational agendas. Investment choices begin to shift across health systems and digital infrastructure as laboratories connect directly with policy decisions. Microblog @antgrasso
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Chinese AI Models Closing Gap with Western Competitors
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probably. Chinese models arent that far off tbh
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Conferences Matter: Building Connections in AI Community
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The best part of conferences is not the talks. I actually skip most of them.
As cheesy and generated as it sounds, it is the people. Last week in AI Engineer in London, I finally met people I had only known online both closely and some just from their content, like my friend -
Refute Amodei’s unemployment predictions with evidence
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And Dario Amodei could be wrong, of course. It might indeed be wrong that there will be 10-20% unemployment. But then refute him, explain where he's wrong instead of saying he's not an expert. That's what I'm criticizing!
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LeCun on AI’s Impact: Listen to Labor Market Economists
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Let me explain again. My argument is this: Lecun says, verbatim: "He knows absolutely nothing about the effects of technological revolutions on the labor market. Don't listen to him, Sam, Yoshua, Geoff, or me on this topic. Listen to economists who have spent their career
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Evaluate Arguments Not Credentials in AI Debate
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exactly. This my point. Amodei might even be wrong. But check his arguments! But don't discredit him for what he or she studied!
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AsyncGRPO TRL Library: Scaling Inference Training Decoupling
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**Deep content post alert** A technical deep dive for your Sunday morning, somewhere between a short detective story and a tutorial on RLHF We recently added AsyncGRPO in the TRL library to decouple inference and training and scale much faster and harder. As a sanity
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Expertise vs Argument Content: Reconsidering LeCun’s Expert-Only Approach
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Lecun's argument doesn't make sense to me, and it never has. His point is that one should only listen to "experts" in specific disciplines who have studied in that field. I think that's wrong. Why? Arguments are examined based on the content of what is presented. One judges
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Unified AI Model Promises Fewer Mistakes Says Stanford Researcher
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No. At least not yet. @gravicle laid out at Stanford how a Unified Model is coming that will lead to a lot fewer mistakes.