fritzo

ln -s CLAUDE.md AGENTS.md

There's your one line change.

If it's a poor location for photovoltaics, it's exactly as a poor for photosynthesis

Sorry for my ignorance, but what exactly is the distinction between hn and social media? Is it the personalization that distinguishes the two? Does "social" mean "feed depends on graph neighborhood"? So collaborative filtering + ranking algorithms + moderation is not social media until you add graph neighborhoods?

I've also seen a glue-less paper binding trick where two pieces of paper are finely crimped together with some high pressure tool in alternating v^v^v^ patterns, actually making tiny tears in the paper. Does anyone know what kind of tool does that?

ELI5 what is a harness?

EDIT from https://arcprize.org/media/ARC_AGI_3_Technical_Report.pdf:

> We seek to fight two forms of overfitting that would muddy public sensefinding:

> Task-specific overfitting. This includes any agent that is created with knowledge of public ARC-AGI-3 environments, subsequently being evaluated on the same environments. It could be either directly trained on these environments, or using a harness that is handcrafted or specifically configured by someone with knowledge of the public environments.

Sounds like her first thought was, "I'm talking to a manic guy, and I can use him to make money"

Wait, is 474 a number or a proper noun?

They're private, that's the beauty. Code is so cheap now, we can ween ourselves off massive dependency chains.

200 years ago text was much more expensive, and more people memorized sayings and poems and quotations. Now text is cheap, and we rarely quote.

Those business goals will soon realize they need more electricity. More brains will be devoted to power generation.

The same could be asked about people. The answer is social intelligence.

By that logic, best fridge is no fridge at all ;)

Thank you, I was so confused by the obvious clickbait! I love Grady's videos, but yikes.

> optimum properties for estimating a posterior distribution

Circular reasoning: that's true only if the posterior is normal, or if your "optimal" is defined by second moments. In infinite variance cases, the best estimator can be median or an alpha moment for alpha < 2, but yikes the math is much more difficult.

-- A mathematician who has indeed fallen into the beauty trap

Heavy tails are everywhere. Normal distributions have absurdly light tails. Levy alpha stable distributions have power law tails. Power law tails are everywhere.

Some things with heavy tails:

  token occurrences
  comment thread upvotes
  startup IPOs
  social follower counts
  network latency
  github stars
  git diffs
  power station size
  weather events

Right. And the CLT is not actually limited to normal distributions. Both of the distribution families I mentioned are central limit theorems. The CLT we first see in school regards means of finite variance distributions, where the finite variance assumption is made because it makes the math easier.

https://en.wikipedia.org/wiki/Central_limit_theorem#The_gene...

Hot take: bell curves are everywhere exactly because the math is simple.

The causal chain is: the math is simple -> teachers teach simple things -> students learn what they're taught -> we see the world in terms of concepts we've learned.

The central limit theorem generalizes beyond simple math to hard math: Levy alpha stable distributions when variance is not finite, the Fisher-Tippett-Gnedenko theorem and Gumbel/Fréchet/Weibull distributions regarding extreme values. Those curves are also everwhere, but we don't see them because we weren't taught them because the math is tough.

Is AlphaZero actually machine learning, if there is no data, or the data is entirely synthetic? If so, we must admit that deterministic automated proof search is machine learning. Shannon's and Kolmogorov's accounts of information leave us stranded. Finzi et al. propose to resolve our confusion.

I was hoping this would be an infinite length terminal view, like the opening backstory in Star Wars

Just checking :) Didn't want to confuse two totally different equally compelling reasons to ban prediction markets

Agreed. In my limited experience, conflict resolution rules are very domain specific, whereas CTDTs encourage a lazy attitude that "if it's associative and commutative it must be correct".

We're not talking about gambling-as-addiction. We're talking about gambling as big players paying participants to throw fights, paying referees to call shots, and the players are the real world and the referees are journalists.

I'm not accountant, but I would expect Pizza Hut's accounting is significantly more complex than Anthopic's. 50+ year old global franchise with physical supply chain partnerships vs an upstart SAAS company?

Good point. For sake of argument, how about this stratification of privacy levels:

twitter/x/bluesky - a big tech company owns your data

mastodon - a grassroots community organization owns your data

zulip - someone you've met personally owns the data

your blog - you own the data

(and yes these are a bit of a category error, but to achieve privacy maybe we should broaden the category and sacrifice reach)

The community has voted for convenience over privacy, and twitter and bluesky have won over mastodon. You're right, but people don't actually care about privacy

This is great!

One lesson they might draw from the negative press is to offer a more open-ended interface, like ChatGPT, where for years people have already been asking "Pretend you are X and review my writing". This interface design pattern gives the press nowhere to point their angry fingers

Inheritance is astonishingly more complex than trees, e.g.

Wong et al. (2024) "A general and efficient representation of ancestral recombination graphs" https://doi.org/10.1093/genetics/iyae100

How does it make sense to compare renewable vs non-renewable energy sources?

Where does that electric car's energy come from?

Suppose the electric car's energy is solar. Then driving the electric car consumes zero barrels of oil, and so is infinitely more renewable than the petrol car. Or how efficient is the electric car at capturing available energy? Maybe the petrol car is 20% efficient at capturing available oil reserve energy. But the electric car is like 1e-30% efficient at capturing available solar output. Incomparable.

Don't forget the SourceForge rug pull, when the once definitive central source of truth was bought out and became a venue for malware

I recently spent 1.5 weeks fixing a bug I introduced 20 years ago. Can confirm, I have no idea what I was thinking back then.

Barendregt & Manzonetto's 2022 "A lambda calculus satellite" has a whole chapter on the S fragment, for those interested