in case u were wondering
Northern Cardinal
Citril Finch
Common Chaffinch
Bluethroat
Eurasian Blue Tit
Great Tit
probably Eurasian Golden Oriole
Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.
Its capabilities exceed those of any model we’ve ever made generally available.
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Audrey Fan retweeted
There's a physicist at Stanford named Safi Bahcall who modeled this exact principle and the math is wild.
He calls it "phase transitions in human networks." When you're stationary, your probability of a lucky event is limited to your existing surface area: the people you already know, the places you already go, the ideas you've already been exposed to. Your opportunity window is fixed.
When you move, your collision rate with new nodes in a network increases nonlinearly. Double your movement (new conversations, new cities, new projects) and your probability of a serendipitous encounter doesn't double. It roughly quadruples. Because each new node connects you to their entire network, not just to them.
Richard Wiseman ran a 10-year study at the University of Hertfordshire tracking self-described "lucky" and "unlucky" people. The single biggest differentiator wasn't IQ, education, or family money. Lucky people scored significantly higher on one trait: openness to experience. They talked to strangers more, varied their routines more, and said yes to invitations at nearly twice the rate.
The "unlucky" group followed the same routes, ate at the same restaurants, and talked to the same 5 people. Their networks were closed loops. No new inputs, no new collisions.
Luck isn't random. Luck is surface area. And surface area is a function of movement.
The lobster emoji is doing more work than most people realize. Lobsters grow by shedding their shell when it gets too tight. The growth requires a period of total vulnerability. No protection, no armor, soft body exposed to the ocean.
That's the cost of movement nobody posts about. You have to be uncomfortable first. The new shell only hardens after you've already moved.
most important initial piece of data for anything human-related is their position on whatever spectrum: location, skill level, preference. the root of personalization is the persons percentile. the root of community is also the persons percentile
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1PM - begin build
2AM - sleep
8AM - miss alarm
10AM - wake & build
830PM - fix last bug
925PM - get into first users hands
926PM - *pikachu face* and tweet:
what a time to be alive
@claudeai & @PhilzCoffee bad b duo
927PM - question why i tweet into the void
928PM - build
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i did not know @meetgranola had a macOS app and am in love with how seamless it is
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quality trumps quantity
proactive, well-researched and well-presented opinions will eventually beat average information based on ginormous data
it's not happening yet, but it will
it's just all lost in the sauce rn
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Audrey Fan retweeted
📣 NEW! I’ve just released the BIGGEST and perhaps most creative project I’ve ever worked on!
“Searching for Birds” searchingforbirds.visualcinn… 🐤
A #dataviz article & exploration that dives into the data that connects humans with birds, by looking at how we search for birds.
it’s happening
ty @steipete !! may ur pillow always be cold
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my initial reaction towards the quantity and average quality of x articles so far in 2026 was negative
but i have and still do really like the general idea of x articles. they remind me of workplace (rip) notes
and as x ~ workplace for your career (tech twitter at least), not just your job, longer form written content is only fitting
difference is rn since we're not all part of one big company, the culture/expectations of writing articles just isn't set yet. depending on the company, notes were reviewed and iterated on bc posting them were seen as a big deal, and some ppls jobs depended on them
so even though most of the articles rn could've been a much shorter post, im optimistic the algo will sort things out soon
ai generated writing makes giving constructive criticism much harder. art and code less so, but writing especially
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hm @wabi make me an app that teaches me a new bird every day (include bird call, picture, region) using the anki method

















