Cyan Banister ✓
@cyantist · San Francisco · joined 13 Feb 2008
Tizz Venture Artist @longjourneyvc, joy amplifier. subscription fees go to Inflection Grants: https://t.co/uSqtEEfmpv.
79 727Followers
4 171Following
59 382Posts total
186.1KViews on collected posts
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@cyantist Dylan is too busy rn @DylanAbruscato
153 views · 4 likes
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@cyantist I feel like it was such a unifying experience
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I waited to wade into the turbulent response behind OpenAI’s post about the Navier-Stokes proof until the waters stilled.
What does the proof tell us and not tell us? What did the headlines get wrong?
Justin from Reynko does a perfect job of explaining here:
26.4K views · 35 likes
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In the nineties the U.S. government classified strong encryption as a munition. Not a metaphor... the same export rules that covered missile parts covered math. https://t.co/WAyx8idaCG https://t.co/OPDVtiNz82
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@cyantist There we go - sorted. https://t.co/atCO4zdNjK
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Images: Christopher Michel (1), freestocks (2), TeachAIDS (6), Satheesh Sankaran (9), Lambtron (11), Andy Sproles/ORNL (15), Nigel Cox (20), Yale Center for British Art (23); all others via Wikimedia Commons. All Creative Commons or public domain.
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The future doesn't arrive evenly, even in the book. It finds one person the system wasn't designed for, and it starts there. The Nells were never scarce. The Primers were. Now they aren't. Find more Nells. https://t.co/ywWfcSdd06
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Nell got her Primer because her brother Harv mugged a man and brought it home. It saved her, not him. She got taken in by the neo-Victorians. He ended up bedridden, lungs wrecked by the toner he breathed as a kid. https://t.co/Mttqu61gGw
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Elizabeth Finkle-McGraw was meant to be another. The most powerful technology in the book was built to raise one. We built the tutor and aimed it at test prep. https://t.co/GR8eUugzZQ
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Someone who works the system without being captured by it, who looks foolish first, then dangerous, then obvious. I've been writing about this archetype for a while - the useful rogue. I told one of their stories here: https://t.co/xXCcP4WkW5 https://t.co/n1uAu1Q3n1
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The reason the Primer exists at all is the part everyone skips. Finkle-McGraw commissions it because the schools produce obedient mediocrities, and he wants something else for his granddaughter. Not a rebel - rebels get expelled. A rogue. https://t.co/LhnODahO88
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It also says the kids end up running things anyway. Both halves of that are worth sitting with. https://t.co/wWFAzjWQSR
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We are handing a generation of kids the degraded version - no Miranda, test-prep objectives - and assuming the outcomes will be equal because the access is equal. The book says they won't be. https://t.co/v0oIdPkk5n
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The yet-to-come that matters most is the Mouse Army. In the book, the girls raised on degraded Primers grow up to be a political force that redraws the map. https://t.co/PRn9ESRHnu
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It built a working graphene lattice out of 37 molecules. The compiler is arriving through biology too - mRNA is programmable matter, and molecular machines took the Nobel in chemistry in 2016. It just doesn't look the way he drew it. https://t.co/6VAS5Zfgvb
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But the machinery just got less theoretical. Last week, researchers at Oak Ridge published a system that hands the controls to an AI: it nudges single molecules across copper with a microscope tip and assembles materials atom by atom, working 25 hours without a human. https://t.c
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What hasn't come true is the nanotechnology itself. Matter compilers, smart matter. 3D printing was the false start - the Feed, the global supply chain, stayed cheaper than fabricating at home, and to his credit the book understood that economics too. https://t.co/yiVXT7JwIT
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What he got half-right: the phyles. People do sort globally by affinity now - I get pitched network states - but the states didn't dissolve. Borders got harder. The sorting happened socially, not legally. I suspect the book has the last word eventually. It just hasn't yet. https:
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In the book, whoever controls the Source controls everything downstream, which reads now like a paragraph about cloud computing written before Amazon sold any. https://t.co/aF1NkjRcmQ
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The Feed and the Seed - one system where everything flows from a central Source, one where you grow your own - is the fight in my inbox. The foundation labs are the Source. Open weights on a garage machine are the Seed. https://t.co/utfxSim1Dt
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He didn't just imagine a currency - he wrote out the mechanism, what happens to governments when money moves beyond their reach. That argument is playing out in real time. https://t.co/clX6Qy13vr
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The book's backstory holds its best prediction, and almost nobody talks about it. In Stephenson's future, the nation-states collapsed because encrypted money made them impossible to tax. He wrote that in 1995. The Bitcoin whitepaper is 2008. https://t.co/Yslm1mi7N8
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Including the part we still haven't fixed, which is that the Mirandas stay invisible. These days they're called data labelers and RLHF contractors. https://t.co/0t1hSnW1wO
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I founded Zivity, which paid models and photographers directly from their fans. Everyone called it a platform. It was a ractive. The creator economy, the gig performer behind the interface - the book had all of it. https://t.co/Kv1wWlg65s
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Miranda is also the part that feels most like my own life. She's a performer with an audience of one, paid per connection, and the connection is real even though it runs through a machine. https://t.co/BBakvPCopr
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Against accounts of the same size
54 posts from the last 90 days, next to the 10K–100K follower range. reaches fewer people than peers of the same size.
Median views1 287this account955median for 10K–100K
Reach, %1.61%this account3.52%median for 10K–100K
Engagement, %1.74%this account1.56%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 1 287 | 955 | 1.35× |
| Reach (views ÷ followers) | 1.61% | 3.52% | 0.46× |
| Engagement rate | 1.74% | 1.56% | 1.12× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
6979 Sep
692
1.2K
1.1K
228
10.2K12 Sep
9.5K
9.4K13 Sep
26.4K14 Sep
2K
11.4K16 Sep
243
153
206
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.00%9 Sep
1.59%
1.17%
1.11%
1.32%
0.06%12 Sep
0.27%
1.02%13 Sep
0.18%14 Sep
0.46%
1.19%16 Sep
3.29%
2.61%
2.43%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.56%.
What the audience does
Likes79.2%625 in total
Reposts2.9%23 in total
Replies8.6%68 in total
Quotes0.3%2 in total
Bookmarks9.0%71 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
Followers by day
10 Sep
Daily snapshots since 10 Sep 2026; the dashed line is the starting count.
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