RESEARCH

Refute Amodei’s unemployment predictions with evidence

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19 April 2026 13h04

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!

LeCun on AI’s Impact: Listen to Labor Market Economists

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19 April 2026 13h01

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

Evaluate Arguments Not Credentials in AI Debate

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19 April 2026 12h56

exactly. This my point. Amodei might even be wrong. But check his arguments! But don't discredit him for what he or she studied!

→ View original post on X — @thom_wolf

AsyncGRPO TRL Library: Scaling Inference Training Decoupling

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@thom_wolf

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19 April 2026 12h52

**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

Expertise vs Argument Content: Reconsidering LeCun’s Expert-Only Approach

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19 April 2026 12h16

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

→ View original post on X — @scobleizer

Unified AI Model Promises Fewer Mistakes Says Stanford Researcher

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@scobleizer

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19 April 2026 11h38

No. At least not yet. @gravicle laid out at Stanford how a Unified Model is coming that will lead to a lot fewer mistakes.

→ View original post on X — @scobleizer

How to Train Your Brain: Neuroscience Insights

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@scobleizer

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19 April 2026 11h27

One of the most interesting neuroscience reads I have ever consumed. How you should train your brain.

→ View original post on X — @scobleizer

Unified Model Represents Future Direction of Artificial Intelligence

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@scobleizer

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19 April 2026 10h52

I have now watched this entire video.

It is way more important than I thought it would be.@gravicle lays out a Unified Model and makes a compelling case for why this is the future of AI. pic.twitter.com/AwmyjXmMiZ
— Robert Scoble (@Scobleizer) 19 avril 2026

I have now watched this entire video. It is way more important than I thought it would be. @gravicle lays out a Unified Model and makes a compelling case for why this is the future of AI.