Sly Flourish's "Luck Replacing Inspiration" in D&D is +3 to players

We used Sly Flourish's Replacing 5E Luck With Inspiration in our last 2 sessions and everyone loved it after a few reminders to "you miss, but turn your luck die" (everyone has a D6 in front of them with 6 indicating 0 luck).

But this mechanic, unlike inspiration, happens a …

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Thoughts on Hawkins’ “A Thousand Brains”

Jeffrey Hawkins is the CEO of Numenta, a company that has been pursuing machine intelligence since the early 2000s. Prior to that he was the founder of Palm Pilot, the most successful Personal Digital Assistant, the sale of which presumably has funded Numenta this part quarter-century.

Hawkins’ approach is iconoclastic …

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Breakfast in Liliha

The other day we were eating breakfast at the counter of the wonderful Liliha Bakery in Oahu and were chatting with a local guy who told us he was 84. Really nice conversation until the pancakes were almost gone when he said "Not to get into politics but..." pregnant pause …

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Solution to "Can't open application 'xRC Simulator'" on Mac for FRC

The xRC Simulator or Autodesk's Synthesis allow First Robotic Competition teams to drive simulated robots around the season's field, allowing early practice with driving, viewlines, and team strategy.

While Synthesis seems to provide higher fidelity, xRC seems a little more user-friendly to me.

Installing on Windows is straightforward, but if …

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Noodling about with a Neural Network Markup Language

Felt potentially communicative, might delete later.

Some sketches of neural net layer annotations

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Interested in ML?: The math can wait

Focus on data transformation and scenarios, not math, if you want to get into real-world Machine Learning. Yes, you’ll eventually have to learn some math, but the abstraction level within ML engineering has already moved on.

Learning the theory and math at the foundations of Machine Learning is like …

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“Bright Young Women” review

Jessica Knoll’s “Bright Young Women”

Jessica Knoll's "Bright Young Women" has such strong beginning and ending chapters, with stakes that are truly life-and-death, that the middle chapters are a bit of a let-down. The central thematic premise of the book is that, for perverse reasons, serial killers become celebrities …

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My next project is melonheaded whales

Mantas Deployed, Time for Whales

Since last Fall, I’ve been working on reidentifying reef manta rays with “low k-shot” (few labeled examples). That project is now deployed to the scientists and, until they start giving me feedback (and hopefully, more labeled data) pretty much at the finish line.

My …

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On Animals and On GPT-4

Reading Susan Orleans' On Animals I'm struck by how essentially different from LLM-generated text her essays are. Now, of course, Orleans is at the highest tier of talent so it may not be saying much that "Well, that kind of writing isn't going to be usurped by LLMs soon." But …

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Machine Learning for Non-Coders: A Half-Day of Reading

Reading Recommendations: Machine Learning for Non-Coders

The best orientation to machine learning (ML) I could find is Machine Learning Explained from MIT Sloan. That gives a good overall orientation, even if it, like all texts, suffers from underestimating the speed at which ML capabilities are evolving. I don’t think …

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