iiinova — where your digital self keeps evolving

So I went longer between finishing the first and starting the second than I did between starting the second and finishing the fourth. I'd definitely recommend starting into the second if you haven't to see if the momentum catches you.

Also reminds me of the Utopian Oath from @adapalmer.bsky.social's Terra Ignota series (what such a monastic sacrifice might look like today). I don't know if you've read the series but @benreinhardt.bsky.social, @divya.bsky.social and I all love it.

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Handicap principle - Wikipedia

reminds me of en.wikipedia.org/wiki/Handica... (non-choice sacrifice of resources) en.wikipedia.org/wiki/Altruis... (sacrificing for the good of the family/tribe) but both kinda advance fitness of shared genes, due to natural selection + selection bias (is "natural selection bias" a term?)

en.wikipedia.org

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Evan Miyazono @miyazono.bsky.social · 23/12/2024

I want to be able to mash on my keyboard to select the next most likely autocomplete/autocorrect option. I think I'd tolerate much more aggressive autocorrect if I had this affordance. The voice command "ugh" would also be sufficient.

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These systems are inhuman intelligences, and will continue dramatically outperforming humans in more domains and (for now) underperforming in others. If LLMs were growing more capable like a human child, I'd be a lot less worried.

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Evan Miyazono @miyazono.bsky.social · 23/12/2024

It's easy to find opinions+evidence that "o3 is a superhuman problem solver." Also easy to find takes+evidence that it's way dumber than a child. The surprising takes are the ones that assume only one of these is true.

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participant reviews: "My favorite part was hearing someone else's rec - you learn something about the person giving the gift, the person receiving it, and yourself)" "it's like watching someone open someone else's gift thinking 'yeah, nice, I'm getting myself that'"

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Step 3: The person who posed the question reveals themself and offers a recommendation. Our recs included south-asian snacks, a Ted Chiang short story, some voyager eps, a bunch of great books, and a few movies. Plus it felt like a nice hangout and close-out.

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Step 2: randomly order participants, who choose which elicitation question they want to answer in as much detail as they want. (e.g. the person who picks "what do you like in a story?" could say "fantasy that turns out to be scifi" or "nonfiction that's stranger than fiction")

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example preference elicitation questions: What are your top 3 "little treats" and favorite flavor profiles? What's one of the best holiday gifts you ever received, and why? What do you like in a story?

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How to do it? Step 1: everyone submits a "preference elicitation question" directly to a coordinator to anonymize (or you could make an anonymous form). So, think of a category of rec (e.g. book, film, snack food, etc) and ask a question that will inform that rec

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Why is this a problem? Feels dumb + carbon-intensive to ship white-elephant gifts to each other. I've tried sending books, but preference between e-book, audiobook, physical book, etc is kind of a hassle.

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I have a solution I love for the remote-first company holiday gift exchange. A recommendation exchange! Everyone gives and gets a personalized recommendation, no shipping involved - here's how we did it:

Evan Miyazono @miyazono.bsky.social · 11/12/2024

I'm confused - I thought they all had wheels at this size. www.cryofab.com/wp-content/u... at least the ones I used did...

cryofab.com

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Evan Miyazono @miyazono.bsky.social · 10/12/2024

The Goodhart-Hanlon lazor: Any sufficiently large group or entity appearing to act maliciously likely includes, somewhere, at least one unaware and/or unwilling person nonetheless making things worse by just following orders and maximizing some metric.

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Evan Miyazono @miyazono.bsky.social · 07/12/2024

I knew FutureHouse generated a mind-numbing number of Wikipedia pages, but I was very surprised to learn that human peer review found 2x the errors in human-generated articles compared to the AI-generated ones

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Evan Miyazono @miyazono.bsky.social · 07/12/2024

Makes me wonder if there are intuitive ways to quantify this. Especially if you have models of different people for something like a recommendation engine.

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Evan Miyazono @miyazono.bsky.social · 07/12/2024

I love that Cosmos Ventures includes "supporting individual preferences and abilities" in its definition of human flourishing. "Would a different person make the same choice" seems to be a really interesting indicator of freedom/agency.

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Evan Miyazono @miyazono.bsky.social · 06/12/2024

"generative adversarial proving" One agent tries to prove the theorem; one tries to find counterexamples

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Evan Miyazono @miyazono.bsky.social · 05/12/2024

I was surprised to learn that this isn't apparent, and that it might not be common?

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Evan Miyazono @miyazono.bsky.social · 05/12/2024

I realized I support people because I believe in them - I want to amplify/empower them as an embodiment of their preferences and values. Not because I like the values themselves.

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Evan Miyazono @miyazono.bsky.social · 05/12/2024

I think I'll start just posting screenshots to tweets I like that aren't on bsky

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Evan Miyazono @miyazono.bsky.social · 25/11/2024

Totally agree. Flashy LLM applications are NLP, but the interesting directions seem ~ NP-complete problems. Interesting continuation: in this framing, getting enough information from your NP solution could efficiently validate the AI output, which ends up looking ~ like property-based testing.

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Evan Miyazono @miyazono.bsky.social · 25/11/2024

I'm combating fomo about not being added to starter packs with the belief that it means I'm just part of some "advanced" tier for connoisseurs

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Has anyone estimated distribution of rock sizes for different planetary bodies...

😂 a very unintentional advert. which compelled me to check Perplexity (my other go-to): gave a longer answer + more citations for the same question, but I think the answer is worse given the limited (but valid) interpretation of "rock" (i.e. not sand/boulders) www.perplexity.ai/search/has-a...

perplexity.ai

Yes, researchers have estimated and compared the distribution of rock sizes for different planetary bodies, including Earth, Moon, and Mars. Here are some key...

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Agentically search literature

wow. The search was so fast and effective that I feel indulgent having stopped to think first hasanyone.com?id=b52393b3

hasanyone.com

Has Anyone | FutureHouse

But also, I assume you could have found a planetary geology paper with better insights in the time it took you to read this 😅. Still fun to consider, though

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Factors I assume would matter (but are also probably similar between earth and moon) are rock composition/density/toughness (particularly relative to local ice), and probably atmospheric pressure/windspeed, which starts to pull in distance to the star

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I'd assume a rough power law distribution, and imagine one could derive a rough estimate from rock formation and erosion. Assuming the moon and rocky planets reached equilibrium before techtonic activity stopped, I wouldn't be too surprised if the exponent were similar, esp for earth+moon.

Cat Hicks @grimalkina.bsky.social · 20/11/2024

Reposted by Evan Miyazono

I don't.... Feel like.... We're grappling with how beyond nuts this is.... I do not have children nor do I intend to but I care about human society and being part of it and therefore childcare feels like one of THE issues we absolutely must solve as a nation, how does everyone not think this

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