Sublime
An inspiration engine for ideas
Savage wisdom from @soumithchintala that all semiconductor startups and investors should heed.
The relevant audience is highly technical. Ridiculous claims do not go over well. Be credible. https://t.co/uGIPUcH8ek
@tedx_ai first time i've seen a non-trivial custom mcp implementation. beautiful work. excellent walkthrough too.
Brandon Macerx.commental models
nimit jain • 1 card
My Bet: Strawberry is algorithm distillation/procedural cloning. Everyone right now is coming up with ways to distill System 2 into System 1, but that will always be limited. We need to train the model to run the algorithms, not just outputs (and post-train with RL of course). https://t.co/pcwzyAn9WO
a willingness to “prepay” through rigorous preparation, and from the extraordinary outcomes of his multidisciplinary research model.
Charles T. Munger • Poor Charlie’s Almanack: The Essential Wit and Wisdom of Charles T. Munger
This book is less about what we know than about the difference between what we know and what we think we know. It recommends a strategy so that we might close that gap. The strategy requires one giant leap and then some small steps forward. The leap is into the Bayesian way of thinking about prediction and probability.
Nate Silver • The Signal and the Noise: Why So Many Predictions Fail-but Some Don't
Multiple Means of Representation,
Christopher Bugaj • The New Assistive Tech: Make Learning Awesome for All!
Expertise
Josh Bowen • 1 card
