The very FIRST words
of Satoshi's white paper:

'Bitcoin: A Peer-to-Peer...'

Natalie Smolenski delivers a simple yet profound talk on the importance of these 5 words at The Bitcoin Policy Summit in DC (@btcpolicyorg) 🔥

Last week and this I graduated my 11th and 12th PhD students, Kenny Young and Abhishek Naik. Kenny will go work for a startup, maybe Astrus.ai or Equilibretechnologies.com. Abhishek’s next step it TBD, but he would like something in AI and space exploration.

In case you haven't yet gotten enough of me...

Me too.

Nice work.

I met Vinge once too, and read all his books. His definition of the singularity, from 1993, is still the best.

I asked how to pronounce his name. He said it rhymes with purkinje (or stingy).

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I am no longer a professor of medicine at Harvard University. Here is the story of my Harvard experience until I was fired for clinging to the truth.
city-journal.org/article/harvar…

🎙️ ATX DAO Podcast Episode 9 🎙️

Erik Voorhees: Shaping a World of Open Innovation in Crypto and AI

We're thrilled to share our conversation with Erik Voorhees! From the evolution of ShapeShift 🦊 to the cutting edge of decentralized AI with Morpheus, Erik's insights are not…

Why do people fear AI? I hear three reasons:

1. Cynicism — the belief that it is rational not to cooperate
2. Humanism/racism — systematic bias against machines, denial of their potential moral worth and personhood
3. Conservatism — fear of change, fear of the other tribe

None…

Richard Sutton says AI doomers are not just wrong, they are blindingly biased because they don't give coherent reasons for what they believe

These folks are actually using reinforcement learning to trade crypto and securities in real time. Very exciting!

Ah, someone found the semi-blog I started in 2000, when I didn't think I had much longer to live. Precursors of The Bitter Lesson.

My tenth PhD student, Banafsheh Rafiee, just defended her thesis “State Construction in Reinforcement Learning”, in which she introduced three diagnostic testbeds based on animal learning experiments and the first generate-and-test algorithm for discovering auxiliary subtasks.…

Worth hearing

AI systems of today outsource learning to humans. They excel at distilling the knowledge discovered by humans into neural networks. The real prize of AI is in algorithms that can discover knowledge themselves.

The end goal is a learning algorithm, not a set of weights.

If you are pro-decentralization, but anti-gun rights, check your premises.

Yes, the agent architectures that Yann LeCun and I work on are both instances of “the common model of the intelligent agent”. And it’s not just an AI thing. You can find the same ideas in psychology, economics, control theory, and neuroscience. See arxiv.org/pdf/2202.13252…