Does a “ Today in Bitcoin and or cypherpunk History “ bot 🤖 currently exist?
#Nostr #bitcoin #btc #education #asknostr
whit
Create a beautiful world. Savage Renegade (Retired) Building another library 📚🌈🦄🏳️🌈
133 sats received
Filtering by: Nostr · clear filter
Most things I read on #Nostr I immediately question who is paying the “entity” posting it.
A brief review of OpenSats:
This is from the public record.
2020–2022 → OpenSats says it was founded in 2020 → 2021: Ben Price listed directly as director → 2022: Ben Price listed as officer/director; Lisa Neigut as director
2023 → May: $10M #startsmall gift → $5M earmarked for Nostr → NVK + Gigi join the board → fiatjaf + NVK named in Nostr evaluation → July: first major Nostr grant wave → September: board minutes discuss “setting up LLCs for board members”
2024 → March 26: board unanimously approves LLCs as board members → May 4: another $21M #startsmall gift → another $5M earmarked for Nostr → Nostr LTS rolls out
FY2024 Form 990: → 9 voting board seats → 9 reported independent → $0 board compensation
Director entities listed:
Freedom Tech LLC BigRebase LLC Necessary Trouble LLC Full Disclosure LLC IB Cypherust LLC Orange Coin Good LLC X0F Corp Innocuous Widgets LLC Stay Humble LLC
PUBLIC ROLE OVERLAPS
Ben Price → OpenSats + The Bitcoin Company
Lisa Neigut → OpenSats + The Bitcoin Company + Base58 + Ego Death Capital
Gigi → OpenSats + The Bitcoin Company + Sovereign Engineering
Matt Odell → OpenSats + Ten31 + Bitcoin Park
NVK → OpenSats + Nostr evaluation + Coinkite
Dread → OpenSats + Education Initiative + Flash
James O’Beirne → OpenSats board + funding-candidate assessments + Bitcoin Core/NYDIG
2025 → Nostr LTS: 13 people → 12 returning → 1 new → 92.3% returning
Q1/Q2 minutes: → discuss “making Ben obsolete” through automation/distributed responsibility
September 25: → one unidentified board member auto-recuses from ALL Nostr applications → approval threshold drops to 4/8
WHO? Unknown. WHY? Unknown.
2026 → Q1: OpenSats reports 3,000+ application evaluations → James O’Beirne’s grant application discussed while he remains on board → June 24: James drops grant plan + resigns → same meeting: board votes to restructure “with natural persons” → August: NVK’s board tenure ends → September: OpenSats describes technical committees + majority board approval
UNRESOLVED
⬜ exact human behind each of the 9 director LLCs ⬜ identity/reason for blanket Nostr recusal ⬜ exact relationship behind FY2024 Form 990 “YES” family/business relationship disclosure
Just the timeline, the relationships, and the gaps.
People can decide what they think.
#FollowTheSats #FollowTheFiat #FollowTheHumans #FollowTheEntities #Nostr #OpenSats
🟪 RECEIPT:
2025 Nostr LTS roster:
13 people.
12 / 13 were returning LTS recipients.
= 92.3%
But I went back another layer.
How many had already received OpenSats support BEFORE becoming LTS?
13 / 13.
100%.
SnowCait was new to LTS.
SnowCait was NOT new to OpenSats funding.
So the 2025 roster was:
92.3% returning to LTS
100% previously supported by OpenSats
0% entering LTS without prior OpenSats support.
That is why I follow funding histories instead of counting names.
GRANT ↓ LTS ↓ RETURN ↓ RENEWAL / OTHER FUNDERS
#FollowTheSats #Nostr
9/28/2026, 3 engagements
The entire forest 🌳 for now. Please 🙏 tell me where I’m wrong 😑
🌳 FOLLOW THE SATS
Everything I have mapped so far.
LEGEND
🟩 verified money / relationship 🟦 project / output 🟪 repeat funding / renewal / LTS 🟧 concentration / structure ⬜ unknown / incomplete 🔴 governance question, NOT proof of wrongdoing
ROOT │ ├── JACK DORSEY / #startsmall │ │ ├── 🟩 OpenSats │ │ │ │ │ ├── $31M total #startsmall support tracked │ │ │ │ │ ├── $10M explicitly earmarked for Nostr │ │ │ ├── $5M → 2023 Nostr Fund │ │ │ └── $5M → 2024 Nostr Fund │ │ │ │ │ ├── ~$8.9M Nostr allocated by end-2024 │ │ ├── $3,205,776 Nostr payouts in 2025 │ │ ├── $1,430,816 payouts H1 2026 │ │ └── $801,317 payable June 2026 │ │ │ │ │ │ ├── 🟦 SOAPBOX FAMILY │ │ │ └── Alex Gleason │ │ │ ├── 867,230,507 visible sats │ │ │ ├── 8.67230507 BTC │ │ │ ├── OpenSats │ │ │ ├── AOS │ │ │ ├── fiatjaf support │ │ │ ├── HRF relationship partially reconciled │ │ │ ├── 🟪 LTS │ │ │ └── Nostr got: │ │ │ ├── Soapbox │ │ │ ├── Ditto │ │ │ ├── Mostr │ │ │ ├── Nostrify │ │ │ └── Shakespeare │ │ │ │ │ ├── 🟦 NDK │ │ │ └── PabloF7z │ │ │ ├── 734,463,998 sats │ │ │ ├── 7.34463998 BTC │ │ │ ├── OpenSats │ │ │ ├── 🟪 LTS │ │ │ └── Nostr got: │ │ │ ├── NDK │ │ │ ├── nsecBunker │ │ │ ├── Highlighter │ │ │ └── reusable TypeScript infrastructure │ │ │ │ │ ├── 🟦 DAMUS FAMILY │ │ │ └── William Casarin / jb55 │ │ │ ├── 696,343,560 sats │ │ │ ├── 6.96343560 BTC │ │ │ ├── OpenSats │ │ │ ├── HRF → $50,000 │ │ │ ├── 🟪 LTS │ │ │ ├── 🟪 later renewals │ │ │ └── Nostr got: │ │ │ ├── Damus │ │ │ ├── Notedeck │ │ │ ├── NostrDB │ │ │ ├── NWC │ │ │ └── messaging work │ │ │ │ │ ├── 🟦 CORACLE FAMILY │ │ │ └── Hodlbod │ │ │ ├── 573,101,947 sats │ │ │ ├── 5.73101947 BTC │ │ │ ├── OpenSats → $187,500 entity support │ │ │ ├── HRF → $50,000 │ │ │ ├── AOS-related support │ │ │ ├── 🟪 LTS │ │ │ └── Nostr got: │ │ │ ├── Coracle │ │ │ ├── Flotilla │ │ │ ├── Welshman │ │ │ └── relay/client infrastructure │ │ │ │ │ ├── 🟦 ngit / git collaboration │ │ │ ├── 536,124,313 sats │ │ │ ├── 5.36124313 BTC │ │ │ └── ⬜ exact human attribution still incomplete │ │ │ │ │ ├── 🟦 0xchat │ │ │ ├── 361,740,436 sats │ │ │ ├── 3.61740436 BTC │ │ │ ├── multiple funding events │ │ │ ├── 🟪 renewal │ │ │ └── Nostr got secure messaging │ │ │ │ │ ├── 🟦 AMETHYST / QUARTZ │ │ │ └── Vitor Pamplona │ │ │ ├── 292,461,090 sats │ │ │ ├── 2.92461090 BTC │ │ │ ├── OpenSats │ │ │ ├── fiatjaf fund → 5,000,000 sats │ │ │ ├── HRF bounty │ │ │ ├── 🟪 LTS │ │ │ └── Nostr got: │ │ │ ├── Amethyst │ │ │ └── Quartz reusable Kotlin library │ │ │ │ │ ├── 🟦 APPLESAUCE FAMILY │ │ │ └── hzrd149 │ │ │ ├── 230,164,585 sats │ │ │ ├── 2.30164585 BTC │ │ │ ├── OpenSats │ │ │ ├── earlier fiatjaf support │ │ │ ├── 🟪 LTS │ │ │ └── Nostr got: │ │ │ ├── Applesauce │ │ │ ├── Blossom │ │ │ ├── noStrudel │ │ │ └── nsite │ │ │ │ │ ├── 🟦 MOSTRO │ │ │ ├── 201,966,510 sats │ │ │ ├── 2.01966510 BTC │ │ │ ├── OpenSats │ │ │ ├── HRF │ │ │ ├── Btrust contributor support │ │ │ └── Nostr got P2P Bitcoin marketplace/protocol tooling │ │ │ │ │ ├── 🟦 FROSTR │ │ │ ├── 122,738,299 sats │ │ │ ├── 1.22738299 BTC │ │ │ └── Nostr got key/signing infrastructure │ │ │ │ │ ├── 🟦 ZAPSTORE │ │ │ ├── 90,912,247 sats │ │ │ ├── 0.90912247 BTC │ │ │ ├── 🟪 later renewal │ │ │ └── Nostr got app distribution + signed releases │ │ │ │ │ ├── 🟦 AMBER │ │ │ └── Greenart7c3 │ │ │ ├── 75,283,890 sats │ │ │ ├── 0.75283890 BTC │ │ │ ├── 🟪 LTS │ │ │ └── signing / key isolation │ │ │ │ │ ├── 🟦 CONTEXTVM │ │ │ ├── 63,547,798 sats │ │ │ ├── 0.63547798 BTC │ │ │ └── AI / MCP / SDK / relay infrastructure │ │ │ │ │ ├── 🟦 JUMBLE │ │ │ ├── 60,982,479 sats │ │ │ ├── 0.60982479 BTC │ │ │ ├── 🟪 later renewal │ │ │ └── browser client / relay discovery │ │ │ │ │ └── 🟦 CITRINE │ │ └── Greenart7c3 │ │ ├── 3,873,203 sats │ │ ├── 0.03873203 BTC │ │ └── local relay / signing infrastructure │ │ │ │ │ ├── 🟪 NOSTR LONG-TERM SUPPORT │ │ │ │ ├── PabloF7z │ │ ├── Stuart Bowman │ │ ├── hzrd149 │ │ ├── William Casarin │ │ ├── Yuki Kishimoto │ │ ├── Hodlbod │ │ ├── fiatjaf │ │ ├── Kieran Harkin │ │ ├── Vitor Pamplona │ │ ├── Daniele │ │ ├── Alex Gleason │ │ ├── Mike Dilger │ │ ├── Greenart7c3 │ │ └── SnowCait │ │ │ │ └── 2025: │ │ ~35% of Nostr Fund allocation → LTS │ │ │ │ │ └── 🟦 OTHER OFFICIAL OPENSATS NOSTR GRANTS │ │ ├── Habla │ ├── Iris │ ├── rust-nostr / nostr-sdk │ ├── Nostr Relay NestJS │ ├── Satellite │ ├── Pinstr │ ├── nostr.build │ ├── Gossip │ ├── Nostr SDK iOS │ ├── Nostr Design │ ├── Amber │ ├── Nozzle │ ├── Blowater │ ├── Nostur │ ├── Nostrocket │ ├── Snort │ ├── zap.stream │ ├── algia │ ├── nostr.watch │ ├── Relay Tools │ ├── ONOSENDAI │ ├── Lume │ ├── Flockstr │ ├── Camelus │ ├── noStrudel │ ├── ZapThreads │ ├── NIP-44 audit │ ├── NIP-90 DVM framework │ ├── nosvelte │ ├── npub.cash │ ├── nostter │ ├── nostr-filter-relay │ ├── Mostro │ ├── Citrine │ ├── DVMDash │ ├── nostr-php │ ├── Shopstr │ ├── Nostromo │ ├── Captain’s Log │ ├── Osty │ ├── Seer │ ├── Alphaama │ ├── Corny Chat │ ├── Nostroots │ ├── Yana │ ├── Dart NDK │ ├── Jester │ ├── Nostr Spring Boot Starter │ ├── Nostr Arduino │ ├── White Noise │ ├── futr │ ├── Notedeck │ ├── Keystache │ ├── Formstr │ ├── Groups │ ├── Coop │ ├── Nostrability │ ├── NIP-44 Libraries Audit │ ├── AlgoRelay │ ├── Pokey │ ├── Nostr Safebox │ ├── Persian NIPs │ ├── LumiLumi │ ├── Chachi │ ├── Zapstore │ ├── HyperNote │ ├── Nostr Epoxy │ ├── Swae │ ├── HAMSTR │ ├── Vertex │ ├── Nostr Double Ratchet │ ├── Nostr Game Engine │ ├── Frostr │ ├── Aegis │ ├── Gitplaza │ ├── Jumble │ ├── Atomic Signature Swaps │ ├── ZapTracker │ ├── Keydex │ ├── Bigbrotr │ ├── Grasp │ ├── Quartz │ ├── ContextVM │ ├── Nostube │ ├── TollGate │ ├── Amethyst Desktop │ ├── Nostr Mail │ ├── Nostrord │ ├── Nurunuru │ ├── 44Billion │ ├── NosCall │ ├── Routstr │ └── Wisp │ │ ├── 🟩 JACK DORSEY → FIATJAF FUND │ │ │ └── 14.17171699 BTC │ │ ├── Vitor Pamplona / Amethyst │ │ └── 5,000,000 sats │ │ │ ├── Martti Malmi / Iris │ │ └── 5,000,000 sats │ │ │ └── William Casarin │ └── 7 BTC redistribution role │ │ ⚠️ administered / redistributed capital │ ≠ personal compensation │ │ ├── 🟩 AOS / AND OTHER STUFF │ │ │ ├── ~ $10M upstream #startsmall contribution │ │ │ ├── White Noise │ │ └── Internet Privacy Foundation │ │ ├── $100,000 visible payment │ │ └── encrypted group messaging / MLS / Marmot │ │ │ ├── Verse Communications │ │ └── ~$400,000 visible 2026 slice │ │ │ ├── security audit work │ │ └── ~$91,333 visible │ │ │ ├── Soapbox family │ ├── Coracle-related work │ └── other Nostr / open-social development │ │ ├── 🟩 teamopen.tech │ │ │ ├── $5M upstream pool │ ├── substantial Nostr/open-social overlap │ └── ⚠️ entire pool is NOT Nostr-specific │ │ ├── 🟩 HUMAN RIGHTS FOUNDATION │ │ │ ├── William Casarin / Damus │ │ └── $50,000 │ │ │ ├── Hodlbod / Coracle │ │ └── $50,000 │ │ │ ├── Vitor Pamplona / Amethyst │ ├── White Noise / Jeff Gardner │ ├── Soapbox / Alex Gleason │ ├── Iris / Martti Malmi │ ├── Snort / zap.stream / Kieran Harkin │ ├── Mostro │ └── 0xchat │ │ ├── 🟩 BTRUST │ └── Mostro contributor support │ └── ⬜ amount not public in current evidence │ │ ├── 🟩 OPEN SOURCE JUSTICE FOUNDATION │ └── Fundsolvr / Keystache │ └── ⬜ amount not public in current evidence │ │ ├── 🟩 PRIVATE / EQUITY CAPITAL │ │ │ ├── TEN31 / Hivemind / others │ │ └── Primal │ │ └── $1M seed │ │ │ └── Angor participants │ └── Nostria │ └── $30,000 pre-seed │ │ └── ⬜ COMMUNITY / USERS ├── zaps ├── direct donations ├── crowdfunding └── ecosystem-wide total unknown
🌱 WHAT NOSTR GOT
├── clients ├── mobile apps ├── desktop apps ├── relays ├── SDKs ├── libraries ├── signing infrastructure ├── key-management tools ├── local relays ├── messaging ├── encrypted group messaging ├── audio/video calls ├── long-form publishing ├── commerce ├── marketplaces ├── P2P Bitcoin trading ├── Lightning integrations ├── Cashu integrations ├── app stores ├── signed software distribution ├── video infrastructure ├── media hosting ├── AI / MCP infrastructure ├── email compatibility ├── group/community software ├── IoT work ├── relay monitoring ├── security audits ├── NIP audits ├── protocol implementations ├── DVM infrastructure ├── design / UX ├── localization ├── education ├── maintenance └── long-term developer support
🌿 SHARED TECHNICAL ROOTS
PabloF7z └── NDK └── downstream web clients / tools
Vitor Pamplona └── Quartz └── Amethyst + downstream Kotlin tooling
Hodlbod └── Welshman └── Coracle / successor apps
William Casarin / team └── NostrDB └── Damus / Notedeck family
hzrd149 └── Applesauce └── noStrudel / Blossom / other tooling
Yuki Kishimoto / rust-nostr team └── rust-nostr / nostr-sdk └── reusable Rust/Nostr infrastructure
🟪 REPEAT-FUNDING LAYER
Documented repeat / multi-funder families include:
├── Damus / William ├── Coracle / Hodlbod ├── Soapbox / Alex ├── Amethyst / Vitor ├── Iris / Martti ├── White Noise / Jeff ├── Snort / zap.stream / Kieran ├── Mostro ├── 0xchat └── others through renewals / LTS
Later official waves include renewals for projects including:
├── futr ├── Notedeck ├── npub.cash ├── Camelus ├── Damus ├── Nostromo ├── Nostroots ├── Jumble ├── Nostr Safebox ├── Coop ├── 0xchat ├── Dart NDK ├── nostr-relay ├── HAMSTR └── Zapstore
🟧 PUBLIC-COUNTER SAMPLE
15 projects
4,910,934,862 sats
= 49.10934862 BTC
Top 5: 34.07 BTC = 69.4%
Top 10: 46.16 BTC = 94%
Bottom 5: 2.95 BTC = 6%
🟧 UPSTREAM CONCENTRATION WE ALSO TRACKED
OpenSats 2024:
largest donor share: ~89%
top 3 donors: ~97.5%
minimum HHI: 7,954
OpenSats 2025:
largest donor share: ~63.3%
top 3: ~83.9%
minimum HHI: 4,232
🔴 GOVERNANCE / STRUCTURE QUESTIONS
Not accusations.
Questions.
Who funds whom repeatedly?
Who becomes LTS?
Who reviews grants?
Who approves grants?
Who is both recipient + infrastructure maintainer?
Who authors standards?
Who controls default relays?
Which apps rely on the same SDKs?
Which projects survive?
Which projects merge or die?
How replaceable are shared technical roots?
How many different project names map back to the same humans?
⬜ THINGS WE STILL DO NOT KNOW PERFECTLY
├── every unique human recipient ├── every recipient-level payment date ├── every private donor ├── every zap / community payment ├── exact personal compensation ├── exact amounts for many LTS awards ├── full ecosystem human-level HHI ├── complete technical dependency HHI ├── full hosting concentration └── every grant transaction ID
RULES OF THE AUDIT
Funding ≠ control.
Project funding ≠ personal income.
Project count ≠ unique human count.
Concentration ≠ corruption.
Unknown ≠ zero.
Announcement ≠ allocation.
Allocation ≠ payable.
Payable ≠ paid.
Project counter ≠ payment ledger.
Role overlap ≠ wrongdoing.
THE QUESTION
Not:
“Is Nostr decentralized?”
Too easy.
The questions are:
Who funded it?
Who got funded?
Who got funded repeatedly?
What did they build?
Who depends on what they built?
Where did the money concentrate?
Where did the infrastructure concentrate?
And is that changing over time?
Follow the sats. Follow the humans. Follow the code. Follow the dependencies.
🌳
#FollowTheSats #Nostr #Bitcoin #BTC #btc
9/28/2026, 17 engagements
“ The U.S. is fucked up. “
Literally majority of #Nostr. Yo, we realize it. Try to fix what you can. 😂
THE WOMAN WAS ALWAYS HERE
Women who built calculation, communications, computing, networks, software, the internet, AI, Bitcoin, and freedom tech
1757–1759 — Nicole-Reine Lepaute Calculated the predicted return of Halley’s Comet. One of the earliest documented women performing large-scale scientific computation.
1773–1815 — Mary Edwards Calculated astronomical tables for Britain’s Nautical Almanac, used for navigation at sea.
early 1800s — Eliza Edwards Continued the astronomical computing work of her mother, Mary Edwards.
1843 — Ada Lovelace Published notes on Charles Babbage’s Analytical Engine, including an algorithm for Bernoulli numbers and the idea that programmable machines could manipulate symbols beyond arithmetic.
1840s–1860s — Women telegraph operators Operated some of the earliest electrical communications networks.
1875 — Anna Winlock Became one of Harvard Observatory’s earliest women “computers,” reducing and calculating astronomical data.
1878 — Emma Nutt Became the first known female telephone operator.
1880s — Williamina Fleming Harvard computer who classified stars and discovered astronomical objects, including the Horsehead Nebula.
1890s — Antonia Maury Created a sophisticated system for classifying stellar spectra.
1890s–1910s — Henrietta Swan Leavitt Discovered the relationship between Cepheid variable stars’ brightness and periods, allowing astronomers to measure cosmic distances.
1896 onward — Annie Jump Cannon Developed the stellar classification system that became the basis for the modern OBAFGKM sequence.
1917–1918 — U.S. Army “Hello Girls” Women Signal Corps telephone operators ran critical military communications networks during World War I.
1919–1922 — Edith Clarke Earned an electrical engineering degree from MIT, invented the Clarke calculator, and became the first woman professionally employed as an electrical engineer at General Electric.
1930s–1940s — Women human computers at NACA Calculated aerodynamics, aircraft performance, and engineering data by hand before electronic computers took over.
1942 — Hedy Lamarr Co-invented a frequency-hopping communication system designed to resist radio jamming.
1943 onward — Dorothy Vaughan Human computer, supervisor of the West Area Computing unit, and later a FORTRAN programmer at NACA/NASA.
1944 — Grace Hopper Joined the Harvard Mark I team and later helped create compilers and machine-independent programming languages.
1945–1946 — Jean Bartik Original ENIAC programmer who helped invent practical electronic programming techniques.
1945–1946 — Betty Holberton Original ENIAC programmer who later worked on UNIVAC programming and software systems.
1945–1946 — Kay McNulty Original ENIAC programmer and mathematical computer.
1945–1946 — Frances Spence Original ENIAC programmer.
1945–1946 — Marlyn Meltzer Original ENIAC programmer.
1945–1946 — Ruth Teitelbaum Original ENIAC programmer.
1946 — Adele Goldstine Wrote the ENIAC technical manual and trained programmers to use the machine.
1949–1950s — Grace Hopper Developed early compiler systems, FLOW-MATIC, and helped shape COBOL.
1953 onward — Katherine Johnson Calculated trajectories for Mercury, Apollo, and other NASA missions.
1955 onward — Annie Easley Programmed NASA systems for energy research and the Centaur rocket.
1956 onward — Gladys West Developed geodetic models of the Earth that became foundational to GPS.
1957 onward — Frances Allen Pioneered compiler optimization and parallel computing at IBM.
1957–1960s — Erna Schneider Hoover Invented computerized telephone switching methods that prevented network overload.
1957 — Elsie Shutt Founded Computations Incorporated, one of the earliest software companies founded by a woman.
1958 — Mary Jackson Became NASA’s first Black female engineer.
1959 — Dina St Johnston Founded Vaughan Programming Services, an early independent software company.
1960s — Joan Clarke Earlier wartime cryptanalysis at Bletchley Park helped break Enigma traffic and shaped modern cryptanalytic practice.
1961–1969 — Margaret Hamilton Led Apollo flight software development and helped establish rigorous software engineering practices.
1962 — Evelyn Berezin Designed computerized airline reservation systems.
1962 — Stephanie “Steve” Shirley Founded Freelance Programmers, building software jobs specifically for women working from home.
1960s — Mary Allen Wilkes Helped develop the LINC computer and became one of the earliest people known to use a personal computer at home.
1965 — Sister Mary Kenneth Keller Earned one of the first U.S. doctorates in computer science and built computing education programs.
1960s — Jean Sammet Developed programming languages including FORMAC and documented early programming-language history.
1960s — Lois Haibt Member of IBM’s original FORTRAN development team.
1968 — Barbara Liskov Became the first woman in the U.S. to earn a PhD from a computer science department and later pioneered data abstraction and distributed systems.
1969–1970s — Evelyn Berezin Founded Redactron and commercialized computerized word processing.
1972 — Karen Spärck Jones Developed inverse document frequency, foundational to search and information retrieval.
1972–1989 — Elizabeth “Jake” Feinler Ran the ARPANET/Defense Data Network information center, overseeing WHOIS, host directories, and the domain naming structure that produced .com, .edu, .gov, .mil, .org, and .net.
1973 — Jude Milhon Helped build Community Memory, one of the earliest public electronic bulletin-board systems.
1970s — Adele Goldberg Led Smalltalk work at Xerox PARC and helped shape object-oriented programming and graphical user interfaces.
1970s — Lynn Conway Co-developed methods that revolutionized VLSI chip design.
1970s — Ginny Strazisar Co-wrote early router software for TCP/IP networks.
1970s — Susan Nycum Early researcher in computer law and computer crime.
1972 — Sandra Kurtzig Founded ASK Computer Systems, one of Silicon Valley’s earliest major woman-founded software firms.
1978 — Carol Shaw One of the first professional female video game programmers and designers.
1979 onward — Roberta Williams Co-founded Sierra On-Line and helped define graphical adventure games.
1981 — Dona Bailey Co-created Atari’s Centipede.
1982 — Susan Kare Designed icons, fonts, and visual language for the original Macintosh.
1982 — Marsha Rhea Williams Became the first Black woman known to earn a PhD in computer science.
1983 — Liz Allen Proposed net.women.only on Usenet after women’s discussions were heavily dominated by male posters.
1983–1985 — Women of net.women.only Built one of the earliest women-centered online communities.
1984–1985 — Women in U.S. computer science Women reached roughly 36.8% of U.S. computer and information science bachelor’s degrees.
1985 — Radia Perlman Created the Spanning Tree Protocol, foundational to scalable Ethernet networking.
1985 — Sophie Wilson Co-designed the ARM architecture, eventually used in billions of devices.
1987 — Anita Borg Founded Systers, a professional support network for women in computing.
1980s–1990s — Susan Estrada Founded CERFnet and helped expand academic and commercial Internet networking.
1980s–1990s — Elise Gerich Played major roles in NSFNET and Internet routing operations.
1980s onward — Shafi Goldwasser Co-created foundational concepts in modern cryptography, including zero-knowledge proofs.
1980s onward — Nancy Lynch Pioneered distributed computing and fault-tolerant consensus theory.
1990 — Stacy Horn Founded ECHO, one of the earliest influential online communities.
1990s — Susan Herring Pioneered research on gender, online communication, flaming, harassment, power, and participation.
1994 — Susan Herring Published Why Women Thank and Men Flame.
1995 — Susan Herring Published “Freedom of Speech or Freedom of Harassment?”
1996 — Kira Hall Published Cyberfeminism, documenting online gender, harassment, and women building their own digital spaces.
1990s — Amy Bruckman Built and studied early online communities, identity, education, and collaborative environments.
1990s — Judith Donath Pioneered research on online identity, signaling, trust, and social computing.
1990s — Wendy Hall Pioneered hypermedia and Web science.
1990s — Susan Landau Advanced cybersecurity, cryptography, privacy, and communications-policy research.
1990s — Diane Greene Co-founded VMware and helped make virtualization mainstream.
1990s — Judy Estrin Built networking companies and contributed to Internet infrastructure.
1990s — Kim Polese Led Java product work and later founded Marimba.
1990s — Mitchell Baker Led Mozilla and helped institutionalize open-source browser development.
1998–1999 — Megan Smith Joined Google and became a major technology executive; later U.S. Chief Technology Officer.
1999 — Marissa Mayer Joined Google as one of its earliest engineers and became a major search/product leader.
1999 — Susan Herring Published The Rhetorical Dynamics of Gender Harassment On-Line, documenting men harassing women and invoking “free speech” against women who objected.
1999 — Susan Wojcicki Became one of Google’s earliest employees and later led advertising and YouTube.
2000s — Safra Catz Rose through Oracle leadership and became CEO.
2000s — Padmasree Warrior Senior technology executive at Motorola and Cisco.
2000s — Cher Wang Co-founded HTC and VIA Technologies.
2000s — Weili Dai Co-founded Marvell Technology.
2000s — Ann Winblad Early software entrepreneur and venture capitalist.
2005 — Limor Fried Founded Adafruit and helped make open-source electronics and hardware education mainstream.
2000s — Leah Buechley Created LilyPad Arduino and helped merge computing with textiles and wearable electronics.
2000s — Ruchi Sanghvi Became Facebook’s first female engineer.
2000s — Katie Moussouris Pioneered vulnerability disclosure and bug bounty programs.
2000s — Window Snyder Led major security programs at Microsoft, Mozilla, Apple, and Intel.
2000s — Parisa Tabriz Became a major Chrome/Google security leader.
2000s — Joanna Rutkowska Pioneered virtualization security research and later created Qubes OS.
2007 — Kathy Sierra Programmer and author whose sexualized threats and harassment became a landmark case in online gendered intimidation.
2010s — Sheryl Sandberg Helped scale Facebook/Meta’s advertising and global platform operations.
2010s — Ursula Burns Engineer who became CEO of Xerox, the first Black woman to lead a Fortune 500 company.
2010s — Meg Whitman Led eBay and later Hewlett-Packard.
2012 — Reshma Saujani Founded Girls Who Code.
2012 — Anita Sarkeesian Faced coordinated misogynistic harassment after proposing a series examining women in video games.
2014 — Zoë Quinn Game developer whose harassment became central to Gamergate.
2014 — Brianna Wu Game developer and entrepreneur targeted by Gamergate harassment.
2014 onward — Tracy Chou Publicly pushed tech companies to disclose gender representation data.
2010s — danah boyd Researched social networks, identity, privacy, youth, and online power.
2010s — Safiya Umoja Noble Documented discriminatory search and algorithmic systems.
2010s — Ruha Benjamin Studied technology, automation, classification, and inequality.
2010s — Cathy O’Neil Documented harmful high-impact algorithms.
2010s — Virginia Eubanks Studied automated welfare and decision systems.
2010s — Sarah T. Roberts Documented hidden human labor in content moderation.
2010s — Mary Gray Researched invisible labor supporting AI and digital platforms.
2010s — Kate Crawford Studied the political, labor, material, and environmental systems underlying AI.
2010s — Fei-Fei Li Created ImageNet and became one of the most influential modern AI researchers.
2010s — Joy Buolamwini Founded the Algorithmic Justice League and exposed racial and gender bias in facial-analysis systems.
2010s — Timnit Gebru Pioneered research on dataset bias, facial recognition, large AI models, and AI institutional power.
2010s — Meredith Whittaker Researcher and organizer focused on AI power and surveillance; later president of Signal.
2010s — Cynthia Breazeal Pioneered social robotics.
2010s — Daphne Koller Machine-learning researcher and co-founder of Coursera.
2010s — Dawn Song Researcher in computer security, privacy, AI, and blockchain.
2010s — Rana el Kaliouby Pioneered affective computing and co-founded Affectiva.
2010s — Deborah Raji Advanced algorithmic auditing and AI accountability.
2010s — Rediet Abebe Pioneered algorithmic fairness and computational social science.
2010s — Lisa Su Electrical engineer and AMD CEO who led one of the most important turnarounds in semiconductor history.
2010s — Gwynne Shotwell Engineer and president/COO of SpaceX.
2010s — Melanie Perkins Co-founded Canva and became CEO.
2010s — Whitney Wolfe Herd Founded Bumble and redesigned online dating interaction around women initiating contact.
2010s — Anne Wojcicki Co-founded 23andMe and helped commercialize consumer genomics.
2010s — Elizabeth Stark Co-founded Lightning Labs and became one of the most prominent leaders in Lightning Network development.
2010s — Alena Vranova Co-founded SatoshiLabs and helped build early Bitcoin hardware-wallet infrastructure.
2010s–2020s — Anita Posch Bitcoin educator and founder of Bitcoin for Fairness.
2010s–2020s — Lisa Neigut / niftynei Lightning protocol developer, Base58 founder, and Bitcoin developer educator.
2019 onward — Carla Kirk-Cohen Lightning engineer who became Executive Director of Chaincode Labs.
2020 onward — Gloria Zhao Bitcoin Core contributor and maintainer specializing in mempool and transaction relay policy.
2021 onward — Ava Chow Bitcoin Core developer and maintainer.
2020s — Amiti Uttarwar Bitcoin Core contributor who later created Waye to support open-source developer sustainability and retention.
2020s — Lindsey Grossman Led Bitkey product, data science, partnerships, and marketing during its development.
2020s — Lorraine Marcel Founded Bitcoin Dada and Dada Devs to train African women in Bitcoin and Lightning development.
2020s — Brianna Honkawa d’Estries Founded Evento and Hack4Freedom, creating women-focused Bitcoin, Lightning, Nostr, and freedom-tech development programs.
2020s — M.K. Fain Built Soapbox and Henhouse, including women-centered community infrastructure on Nostr.
2020s — Mogashni Naidoo Bitcoin design/community leader and freedom-tech mentor.
2020s — Stephanie Titcombe Worked on Bitcoin developer pipeline and education programs.
2020s — Charlene Fadirepo Founded Satoshi Sisterhood and worked on Bitcoin education and community-building.
2022 — Women at Bitcoin 2022 Publicly reported sexual harassment, unwanted photography, alleged groping, and other hostile treatment.
2024 — Henhouse ( M.K. Fain ) Women built a dedicated Nostr community explicitly banning misogyny and harassment.
2025 — Hack4Freedom Twenty women produced eight open-source freedom-tech projects involving Bitcoin, Lightning, and Nostr.
2026 — Hack4Freedom Lagos Thirty-eight women produced thirteen projects, including Nostr applications.
2026 — Women are still building Bitcoin, Lightning, Nostr, AI, cryptography, chips, networks, hardware, software, and communications infrastructure.
And the point of this list is not:
“Look, some women did technology too.”
The point is:
Women were calculating before computers were machines.
Women were routing communications before networks were digital.
Women programmed before programming was a profession.
Women built Internet infrastructure before the Web existed.
Women were online before anyone could tell us there were no women online.
And women are building decentralized technology now.
So maybe stop asking:
“Where are the women?”
Start asking:
“Why did history keep forgetting their names?”
🪞🔬📚
The woman was always here.
#TheWomanWasAlwaysHere #WomenInTech #WomenInComputing #TechHistory #InternetHistory #WomenInSTEM #OpenSource #Bitcoin #Nostr #FreedomTech #Herstory #Receipts #research
Hey plebs: Who is red-teaming your wallet?
👀🔐
Not auditing it once. Not reviewing the open-source code. Not waiting for a bug bounty.
Who is continuously paid to try to break it before an attacker does?
Ledger has Donjon.
Who does your wallet have?
Ask them. Bring receipts. 🧾
Cause friends: I asked over 100 questions of each wallet and the big commonality shocked me.
#Bitcoin #BitcoinSecurity #HardwareWallet #RedTeam #SelfCustody #Nostr #HardwareWallets #Coldcard #Coinkite #Ledger #LedgerDonjon #Trezor #BitBox #Passport #FoundationDevices #Blockstream #Jade #Tangem #Bitkey #SeedSigner #Keystone #RedTeam #RedTeaming #InfoSec #OpSec #CyberSecurity #OpenSource #BugBounty #SelfCustody #BitcoinSecurityResearch #ResponsibleDisclosure #AI #AISecurity #Nostr
For thousands of generations, humans looked into an unobstructed night sky.
Today, approximately 46,200 human-made objects are tracked around Earth.
Beyond what we can reliably track, models estimate:
1.2 million pieces larger than 1 centimeter.
140 million pieces larger than 1 millimeter.
The stars still belong to everyone.
The machinery surrounding them does not.
Who is responsible for protecting humanity’s right to see the night sky?
#SpaceJunk #SpaceDebris #NightSky #Stargazers #Astronomy #SatellitePollution #KesslerSyndrome #SpaceSustainability #RightToTheNightSky #Nostr
SAM ALTMAN — THE 🧾
Let’s begin fairly.
ChatGPT gave ordinary people access to capabilities that recently belonged mainly to corporations, governments and elite institutions.
People now use AI to:
📚 Learn difficult subjects
♿ Communicate through disabilities
🧪 Accelerate research
💻 Write software
🌍 Translate languages
🎨 Create new work
🧠 Extend their own thinking
That is real power placed into human hands.
But the friendly text box hides an industrial empire.
Behind every effortless answer are:
🏭 Data centers
⚡ Power plants
💧 Cooling systems
🖥️ Advanced chips
📚 Human-created knowledge
🧹 Invisible data labor
💰 Enormous capital
🏛️ Decisions made behind closed doors
The product feels decentralized because millions of people can use it.
The power producing it is profoundly concentrated.
🏛️ THE MISSION
OpenAI was founded as a nonprofit in 2015.
Its mission:
Ensure artificial general intelligence benefits all of humanity.
Beautiful sentence.
Now ask the rude question:
Who appointed OpenAI to define “benefit,” represent “humanity,” or decide when artificial general intelligence has arrived?
Humanity does not elect OpenAI’s board.
The public cannot inspect its most powerful models.
Workers whose jobs may be transformed do not vote on deployment.
Artists and writers whose work may have entered training datasets did not collectively negotiate the terms.
Communities hosting data centers do not govern the systems those facilities produce.
“All humanity” is the beneficiary named in the mission—
not the governing body.
💰 FOLLOW THE STRUCTURE
OpenAI began as a nonprofit research laboratory.
In 2019, it created a commercial subsidiary because advanced AI required more capital and computing power than donations could provide.
Its current structure consists of:
🏛️ The nonprofit OpenAI Foundation
🏢 The commercial OpenAI Group PBC
OpenAI says the Foundation controls the commercial company and that the public-benefit corporation must consider both its mission and broader stakeholder interests.
That is better than ordinary shareholder control.
But it does not eliminate the contradiction.
The Foundation now owns an equity stake reportedly valued above $100 billion.
Therefore, the institution responsible for restraining the commercial machine also becomes wealthier when that machine grows.
The guardian and the beneficiary occupy the same structure.
That does not prove corruption.
It creates an incentive worthy of relentless public scrutiny.
⚖️ THE 2023 GOVERNANCE MELTDOWN
In November 2023, OpenAI’s nonprofit board fired Sam Altman.
The board said he had not been “consistently candid” in his communications, interfering with its ability to exercise oversight.
Employees revolted.
Investors applied pressure.
Microsoft offered positions to Altman and OpenAI employees.
Within days, Altman returned and the board was largely replaced.
A later review by WilmerHale examined more than 30,000 documents and interviewed dozens of people.
It concluded that the previous board acted within its authority but moved too quickly, without a full inquiry or giving Altman an adequate opportunity to respond.
The review also found that his conduct did not require removal.
It said the crisis arose from a breakdown in trust—not concerns about product safety, finances or deployment speed.
So this is not proof that Altman secretly endangered humanity.
It is proof of something else:
A governance structure supposedly designed to restrain the builders of transformative AI collapsed almost immediately when its decision threatened employees, investors and commercial momentum.
The nonprofit could legally remove the CEO.
The surrounding economic system effectively reversed the decision.
That is a receipt about where practical power lived.
📚 WHOSE KNOWLEDGE BUILT THE MACHINE?
Generative AI depends upon enormous quantities of human-created material.
Books.
Journalism.
Code.
Art.
Photographs.
Websites.
Conversations.
Public records.
OpenAI argues that training models on publicly available material is lawful fair use and supports innovation.
Publishers and authors disagree.
The New York Times, multiple news organizations and authors including John Grisham, Jonathan Franzen, George R.R. Martin, Ta-Nehisi Coates and Sarah Silverman have pursued copyright claims against OpenAI and Microsoft.
OpenAI denies wrongdoing.
Those lawsuits remain contested; allegations are not verdicts.
But the underlying conflict is already clear:
The companies call the material training data.
The people who created it call it their work.
The machine becomes extraordinarily valuable after absorbing a civilization’s cultural output—
while the civilization is told that identifying, compensating or obtaining permission from individual contributors may be technologically impractical.
Funny how “impossible at scale” so often means:
Inconvenient for the company operating at scale.
🧹 THE INVISIBLE HUMAN LABOR
AI did not teach itself what humanity considers toxic.
According to reporting about OpenAI contractor Sama, workers in Kenya labeled descriptions involving violence, sexual abuse, hate speech and other disturbing material so safety systems could learn to recognize it.
Workers described psychological harm from repeated exposure.
Reported wages were roughly $1.46 to $3.74 per hour after taxes, before bonuses and benefits, depending upon the worker and calculation.
Sama said employees received counseling and argued that comparisons with American wages ignored local economic conditions.
OpenAI said Sama was responsible for compensation and worker welfare under the contract.
There is your supply chain in one sentence:
The billion-dollar intelligence becomes safe enough for wealthy markets because poorly visible workers elsewhere absorb the horror.
Users see a polished chatbot.
The workers saw the material the chatbot was trained not to show us.
That labor belongs inside the history of AI.
⚡ THE PHYSICAL EMPIRE
Artificial intelligence is not floating inside “the cloud.”
It lives in warehouses filled with chips consuming physical resources.
OpenAI, SoftBank, Oracle and other partners announced Stargate in January 2025.
The announced ambition:
💰 Up to $500 billion in investment
⚡ Up to 10 gigawatts of computing infrastructure
By September 2025, OpenAI said planned Stargate projects represented nearly 7 gigawatts and more than $400 billion in expected investment over three years.
Ten gigawatts is power-station territory.
This is not an app expansion.
It is industrial policy.
It affects:
⚡ Electrical grids
💧 Water and cooling
🏘️ Local communities
🖥️ Semiconductor supply chains
🌍 Environmental burdens
🏛️ National security
The intelligence may appear inside a phone.
Its physical footprint can reshape entire regions.
🔐 IS IT ACTUALLY OPEN?
The organization is named OpenAI.
Its frontier models are not open in the ordinary open-source sense.
The public generally cannot inspect the full training datasets, model weights, internal reasoning architecture or complete safety evaluations.
There are legitimate security and abuse arguments for withholding some information.
There are also competitive reasons.
The result remains the same:
Humanity is invited to trust increasingly powerful systems that humanity cannot fully audit.
“Open” became the brand.
Access replaced transparency.
Using the machine is not the same as understanding it.
🧠 WHO CONTROLS THE KNOWLEDGE LAYER?
When AI becomes the interface through which people research, write, code and understand events, model behavior becomes a form of governance.
Someone determines:
🚫 What the system refuses
📚 Which sources it privileges
⚖️ Which risks outweigh which freedoms
🧒 What protections apply by age
🧪 When a model is safe enough to release
🏛️ Which governments receive access
💰 Which capabilities require payment
🔌 Which developers may build on the system
These decisions may be thoughtful.
They may even be necessary.
They are still political decisions embedded inside a privately operated technical system.
A refusal message is policy wearing the costume of software.
🚪 CAN PEOPLE LEAVE?
A casual user can close the application.
A society reorganized around AI has a harder time leaving.
Schools integrate it.
Businesses build workflows around it.
Developers depend upon APIs.
Governments purchase services.
Workers compete against its productivity.
Publishers restructure their work for machine discovery.
Once AI becomes cognitive infrastructure, “just don’t use it” stops being meaningful consent.
You can refuse the tool.
You cannot easily refuse the economy being rebuilt around it.
🔑 WHAT DOES ALTMAN ACTUALLY CONTROL?
Sam Altman does not personally own or unilaterally control all artificial intelligence.
OpenAI has a board, employees, partners, regulators and competitors.
But as CEO and the public architect of its strategy, he influences:
🧠 The development of frontier models
🚀 The pace of deployment
🏭 Massive computing expansion
🤝 Partnerships with corporations and governments
🔐 Access to powerful capabilities
⚖️ The balance between safety and commercialization
🌍 The public story about humanity’s AI future
That is not godhood.
It is enough power to demand more than charismatic assurances.
🧾 THE GIFT
Altman helped turn advanced AI into a tool ordinary people can actually use.
He accelerated investment in scientific research, accessibility, education and human creativity.
He forced the world to confront artificial intelligence as a present reality—not distant science fiction.
🧾 THE SHADOW
The institution promises to benefit all humanity while:
📚 Depending upon humanity’s accumulated work
🧹 Outsourcing traumatic safety labor
⚡ Claiming civilization-scale energy resources
💰 Requiring unprecedented capital
🔐 Keeping essential systems closed
🏛️ Reserving decisive authority for unelected insiders
The public receives access.
The institution retains control.
That distinction is the entire damn story.
THE VERDICT
Sam Altman sells a vision of abundant intelligence available to everyone.
Perhaps he sincerely believes in it.
Sincerity is not governance.
A benevolent mission does not replace enforceable accountability.
A public-benefit label does not give the public a vote.
A friendly chatbot does not make the infrastructure democratic.
And “benefiting humanity” is not permission to treat humanity’s books, art, labor, electricity, water and future as an unconsulted contribution to the project.
The danger is not simply that artificial intelligence becomes smarter than humans.
The nearer danger is that humans become dependent upon intelligence controlled by institutions they cannot inspect, elect or meaningfully leave.
OpenAI says it is building intelligence for humanity.
The receipt-based question is:
Will humanity ever be allowed to govern it?
REFERENCES:
OpenAI — Mission and Structure
OpenAI — Evolving Our Structure
https://openai.com/index/evolving-our-structure/
OpenAI — Nonprofit and Public Benefit Corporation
https://openai.com/index/statement-on-openai-nonprofit-and-pbc/
OpenAI — WilmerHale Review of Altman’s Removal
https://openai.com/index/review-completed-altman-brockman-to-continue-to-lead-openai/
OpenAI — Stargate Expansion
https://openai.com/index/five-new-stargate-sites/
Reuters — Consolidated Copyright Litigation Against OpenAI and Microsoft
The Guardian — Kenyan AI Data Workers and Psychological Harm
#SamAltman #OpenAI #ChatGPT #ArtificialIntelligence #AGI #Stargate #Copyright #DataLabor #AIInfrastructure #PublicBenefit #CorporateGovernance #TechAccountability #ConcentratedPower #DigitalRights #Nostr
What happens when one man tries to engineer the future—from the satellites above humanity to the children who will inherit it? 🚀🧬
ELON MUSK — THE RECEIPTS
Let’s begin with what Elon Musk has genuinely accomplished.
SpaceX made reusable orbital rockets operational.
Tesla accelerated the automobile industry’s transition toward electric vehicles.
Starlink brought internet access to remote communities, disaster zones, ships and battlefields.
NASA certified SpaceX to carry astronauts.
These are real achievements.
That is precisely why the concentration of power matters.
Musk is not merely a loud billionaire posting online.
His companies increasingly occupy the physical layer beneath modern civilization.
🚀 SPACE
SpaceX launches satellites, astronauts, military payloads and scientific missions.
NASA’s Commercial Crew program awarded SpaceX approximately $3.14 billion through its major development and transportation phases.
A later contract modification brought SpaceX’s Commercial Crew contract value to approximately $4.93 billion.
NASA also awarded SpaceX a $2.89 billion contract to develop a lunar lander for Artemis.
SpaceX did not conquer space alone.
Public money, public research, NASA expertise and government contracts helped make the private empire possible.
🛰️ COMMUNICATION
Starlink controls an enormous constellation of privately operated communications satellites.
That network can connect villages and disaster zones when terrestrial infrastructure fails.
It can also become strategically important during war.
The unsettling issue is not that Starlink exists.
It is that access to strategically important communication infrastructure can depend upon decisions made inside one private company controlled by one unusually powerful individual.
A civilization should not confuse technical capability with democratic legitimacy.
⚡ ENERGY AND TRANSPORTATION
Tesla helped normalize:
🚗 Electric vehicles
🔋 Grid-scale batteries
☀️ Distributed energy systems
🤖 Autonomous transportation
But Musk’s empire did not grow outside government.
A 2025 Washington Post investigation calculated that his companies had benefited from at least $38 billion in government contracts, loans, subsidies and tax credits over roughly two decades.
That does not erase the engineering.
It destroys the mythology that a solitary capitalist conquered bureaucracy without public assistance.
The public helped finance the empire.
The public does not control it.
🧠 THE HUMAN BODY
Neuralink seeks to connect human brains directly to computers.
The potential benefits are profound—particularly for people who have lost movement or communication.
But brain-computer interfaces create intimate questions:
🔐 Who owns neural data?
🧠 Can thoughts become corporate information?
⚕️ What happens when implanted hardware becomes obsolete?
🏢 Can a person become dependent upon a company for the continued operation of something inside their skull?
Neuralink is not merely another gadget company.
It is attempting to place privately controlled infrastructure at the boundary between human consciousness and machines.
🧬 THE CHILDREN AND THE IDEOLOGY
Musk has repeatedly warned that falling birth rates and population collapse threaten civilization.
Having many children is not inherently sinister.
Neither is encouraging people to become parents.
The relevant issue is the ideology surrounding his choices.
As of 2025, major news organizations reported that Musk had fathered at least 14 publicly known children with four women.
One of those children tragically died in infancy.
His surviving children are private human beings.
They are not evidence, symbols or legitimate targets for ridicule.
But Musk’s documented and reported rhetoric is fair to examine.
Shivon Zilis—an executive at Musk’s Neuralink and the mother of four of his children—told biographer Walter Isaacson that Musk “really wants smart people to have kids” and encouraged her to do so.
The Wall Street Journal reported allegations that Musk:
🧬 Discussed creating “legion-level” offspring
🤰 Suggested using surrogates to produce more children rapidly
📱 Approached women about reproduction
💰 Used financial arrangements in managing secrecy and support
Musk did not provide the Journal with a substantive response to those claims and later mocked the publication.
Those remain reported allegations—not proven findings.
But placed beside his public warnings about population collapse, they reveal something larger than an eccentric private life:
Musk appears to understand reproduction partly as a civilization-scale engineering problem.
And apparently, he considers himself qualified to help select the solution.
That is not literally colonizing humanity.
It is pronatalism mixed with wealth, hierarchy and technological power.
The savage question is not:
“Why does this man have so many children?”
It is:
Why does one extraordinarily wealthy man appear to believe that his judgment should influence which kinds of people reproduce, which technologies shape their brains, which networks carry their speech and which planet their descendants inhabit?
That is one hell of a vertical integration strategy.
🏛️ THE GOVERNMENT CONTRADICTION
Musk has presented himself as an enemy of inefficient government and public spending.
Yet public institutions helped fund, purchase and validate the technologies that made his companies indispensable.
NASA supplied contracts and technical oversight.
Governments subsidized electric vehicles and energy infrastructure.
Military and intelligence agencies purchase launches and satellite services.
Then Musk entered government while continuing to lead companies deeply entangled with government contracts.
This creates an obvious accountability problem:
The contractor gains influence over the customer.
The billionaire benefiting from public spending gains influence over what public spending survives.
The regulated gains influence over the regulators.
That is not disruption.
That is state power and private power folding into each other.
🔑 WHAT DOES HE CONTROL?
Through his companies and influence, Musk touches:
🚀 Access to orbit
🛰️ Satellite communication
🪖 Military and intelligence launches
🚗 Electric transportation
🔋 Energy storage
🧠 Brain-computer interfaces
🤖 Artificial intelligence and robotics
🗣️ A major communication platform
🏛️ Government policy and procurement
Very few private individuals in modern history have occupied so many strategic layers simultaneously.
💰 WHO PAID?
Investors paid.
Customers paid.
Workers paid with labor.
And taxpayers paid through contracts, loans, subsidies, tax incentives and publicly funded scientific infrastructure.
Calling everything the achievement of one genius erases the engineers, factory workers, scientists, astronauts and public servants who made the achievements possible.
🚪 CAN SOCIETY LEAVE?
Can NASA immediately replace SpaceX?
Can soldiers, emergency workers or remote communities instantly replace Starlink?
Can a Tesla owner completely escape Tesla’s software and service ecosystem?
Could a future Neuralink patient freely transfer an implant to another provider?
If the answer is no, then these are not merely products.
They are dependencies.
🧾 THE GIFT
Musk proved that entrenched industries could move faster.
He helped make reusable rockets real.
He accelerated electric vehicles.
He funded ambitious engineering at a scale most executives would not attempt.
His willingness to risk failure produced genuine advances.
🧾 THE SHADOW
He has wrapped communications, transportation, energy, spaceflight, artificial intelligence and possibly human biology inside a growing network of privately controlled institutions.
His stated response to civilization’s problems is consistently expansion:
More rockets.
More satellites.
More computing.
More energy.
More territory.
More children.
More control over the systems joining them together.
🚀 THE VERDICT
Elon Musk is not secretly colonizing humanity through his children.
The documented reality is more interesting—and more disturbing.
He appears to view civilization as an engineering system:
Population can be increased.
Intelligence can be selected.
Brains can be interfaced.
Communication can be satellited.
Transportation can be automated.
Government can be optimized.
Mars can be settled.
But humanity is not a machine awaiting its owner.
Children are not civilization assets.
Citizens are not optimization variables.
Public infrastructure is not legitimate merely because a brilliant billionaire built it.
Musk’s greatest gift is his refusal to accept technological limits.
His greatest danger may be his refusal to accept limits on himself.
REFERENCES:
NASA — Commercial Crew Program Awards
NASA — Additional SpaceX Crew Missions
https://www.nasa.gov/humans-in-space/nasa-awards-spacex-more-crew-flights-to-space-station/
NASA — SpaceX Artemis Lunar-Lander Contract
Tesla — Elon Musk and Company Portfolio
https://www.tesla.com/elon-musk
SpaceX — Mission and Infrastructure
Washington Post — Public Funding Behind Musk’s Companies
Reuters — Announcement of Musk’s Fourteenth Publicly Reported Child
https://www.yahoo.com/news/elon-musk-another-child-boy-034728329.html
Forbes — Summary of Wall Street Journal Reporting on Musk’s Pronatalist Project
#ElonMusk #SpaceX #Tesla #Starlink #Neuralink #Pronatalism #PopulationCollapse #GovernmentContracts #PublicMoney #PrivatePower #Infrastructure #ConcentratedPower #TechAccountability #Nostr
What happens when connecting humanity becomes one man’s extraction machine? 👥🧾
MARK ZUCKERBERG — THE RECEIPTS
Let’s skip the “bringing people closer together” sermon and inspect the machinery.
🔑 WHAT DOES HE CONTROL?
Meta owns Facebook, Instagram, Messenger and WhatsApp—several of the world’s largest communication networks.
According to Meta’s 2026 proxy filing, Mark Zuckerberg controls approximately 60.8% of Meta’s total voting power.
Why?
Ordinary Class A shares receive one vote each.
His Class B shares receive ten.
He holds nearly all outstanding Class B shares.
So despite owning only a minority of Meta’s economic value, Zuckerberg possesses enough voting power to control shareholder outcomes.
That is not democratic governance.
That is a publicly traded company with a permanent digital king.
💰 WHO PROFITS?
Meta reported approximately $201 billion in total revenue for 2025.
Approximately $196 billion came from advertising.
That is about 97.6%.
Facebook is not primarily selling social connection.
It is selling advertisers the ability to reach, categorize and influence the people making those connections.
You create the photographs.
You write the posts.
You build the communities.
You reveal the relationships.
Meta keeps the behavioral map—and sells access to your attention.
👁️ WHAT WAS COLLECTED?
The Cambridge Analytica scandal was not merely “some data leaked.”
According to the SEC, Facebook learned by December 2015 that information connected to tens of millions of users had been improperly transferred to Cambridge Analytica.
The data included:
📍 Locations
🎂 Birthdays
👤 Names and genders
👍 Page likes
🧠 Personality profiles
Cambridge Analytica used the information in political advertising.
Facebook continued describing data misuse to investors as a hypothetical risk for more than two years after learning it had already happened.
⚖️ WHAT DID REGULATORS FIND?
In 2019:
💸 Facebook paid $5 billion to settle FTC allegations that it violated a 2012 privacy order and deceived users about their ability to control personal information.
💸 Facebook paid another $100 million to settle SEC charges over misleading disclosures concerning data misuse.
The FTC’s findings were especially savage:
Facebook allegedly used deceptive settings and disclosures, inadequately supervised third-party developers, used phone numbers collected for security in advertising and undermined users’ privacy choices.
Read that again:
Information provided for account security was also used to target advertising.
Even the lock became part of the extraction machine.
🇪🇺 DID IT STOP?
No.
In 2025, the European Commission fined Meta €200 million after finding that its “pay or consent” model violated the Digital Markets Act.
European users had effectively been offered two choices:
💳 Pay Meta money
or
👁️ Allow Meta to combine more personal data for advertising
The Commission found that Meta had failed to provide a proper equivalent service using less personal data.
Meta later committed to offering EU users a less-personalized advertising option.
Not because the business model spontaneously developed a conscience.
Because regulation forced the choice.
🚪 CAN ORDINARY PEOPLE LEAVE?
Technically, yes.
Meaningfully?
That is harder.
Leaving can mean abandoning:
👨👩👧 Family networks
📸 Personal archives
🫂 Community groups
🏪 Business audiences
💬 Messaging relationships
📣 Years of accumulated reach
A platform becomes powerful when leaving it means leaving pieces of your social life behind.
That is not interoperability.
That is captivity with a delete button.
THE GIFT:
Zuckerberg undeniably helped build tools that connected billions of people.
Families reunited.
Communities organized.
Small businesses found customers.
Ordinary people gained global publishing power.
THE RECEIPT:
Those human relationships were enclosed inside infrastructure controlled by one corporation—and ultimately one man.
Connection produced data.
Data produced prediction.
Prediction produced influence.
Influence produced approximately $196 billion in advertising revenue during 2025.
THE VERDICT:
Mark Zuckerberg did not merely connect humanity.
He positioned Meta between human beings—
then charged advertisers for what it learned by watching us reach for one another.
That is connection.
That is extraction.
And the receipts say they were never separate businesses.
REFERENCES:
Meta — 2025 Financial Results
SEC — Meta 2026 Proxy Statement
https://www.sec.gov/Archives/edgar/data/1326801/000162828026025532/meta-20260416.htm
FTC — $5 Billion Facebook Privacy Settlement
SEC — Facebook’s Misleading Data-Misuse Disclosures
https://www.sec.gov/newsroom/press-releases/2019-140
European Commission — Meta’s Digital Markets Act Violation
#MarkZuckerberg #Meta #Facebook #Instagram #WhatsApp #CambridgeAnalytica #SurveillanceCapitalism #DataPrivacy #DigitalRights #TechAccountability #BigTech #Nostr
And then
Can the internet give individuals a voice, an identity and money that no company or government can take away? 🐦⚡
JACK DORSEY — NETWORKS, MONEY AND PROTOCOLS
Jack Dorsey is a programmer and entrepreneur whose work repeatedly returns to one idea:
How can people exchange information and value directly?
His earliest fascination was not social media.
It was dispatch systems—the real-time networks cities use to coordinate taxis, couriers and emergency vehicles.
Every participant had a location.
Every message changed the network.
That idea eventually helped shape Twitter:
A worldwide public conversation built from short, immediate messages.
Twitter gave millions of people a voice—but it also exposed the limitations of centralized platforms.
One company still controlled:
🔐 Accounts
📣 Distribution
🧮 Algorithms
🚫 Moderation
🏢 The entire underlying network
Dorsey also co-founded Square, now Block, which made digital payments accessible to small businesses and helped bring Bitcoin into mainstream financial tools.
He increasingly shifted his attention toward open protocols:
₿ Bitcoin for permissionless money
⚡ Lightning for rapid peer-to-peer payments
🪶 Nostr for portable identity and communication
🧑💻 Open-source development that no single company owns
Through #startsmall, he donated $10 million to OpenSats in 2023, including $5 million dedicated to Nostr.
In 2024, #startsmall contributed another $21 million—including another $5 million for the Nostr Fund.
THE GIFT:
🌐 Jack helped millions of ordinary people publish and exchange value through simple digital tools.
He later used his money and influence to fund protocols that do not require him—or any other CEO—to remain in control.
THE SHADOW:
🏢 He also helped demonstrate how quickly a tool for public conversation can become centralized infrastructure with enormous power over speech, attention and identity.
Supporting decentralization does not erase that history.
It may represent an attempt to learn from it.
In the portrait:
🗺️ The dispatch map represents his original fascination with cities communicating in real time.
🐦 One blue bird dissolves into many free birds—one platform giving way to an open network.
🔗 The relay constellation represents Nostr.
🔑 The keys represent identity and custody belonging to the individual.
⚡ The golden paths represent value traveling directly between people.
◼️ The black block represents the company he still leads—and the unresolved tension between corporations and protocols.
Jack Dorsey’s story is not simply about building companies.
It is about discovering that the most powerful network may be the one its creator cannot own.
REFERENCES:
Block — Leadership
https://investors.block.xyz/governance/leadership/default.aspx
OpenSats — The Nostr Fund
https://opensats.org/funds/nostr
OpenSats — $10 Million from #startsmall
https://opensats.org/blog/opensats-receives-additional-funding-of-dollar10m-from-startsmall
OpenSats — Additional $21 Million from #startsmall
https://opensats.org/blog/opensats-receives-additional-funding-of-dollar21m-from-startsmall
#JackDorsey #Nostr #Bitcoin #LightningNetwork #OpenProtocols #OpenSource #FreedomTech #DigitalIdentity #Twitter #Block #OpenSats #TechHistory
What does an algorithm see when it looks at you—and who answers when it gets you wrong? 🎭👁️
JOY BUOLAMWINI — ALGORITHMIC ACCOUNTABILITY
While studying at MIT, computer scientist and poet Joy Buolamwini discovered that facial-analysis software struggled to detect her dark-skinned face.
When she placed a white mask over it—
the machine suddenly saw her.
That experience helped reveal what she calls:
THE CODED GAZE
Algorithms are not neutral.
They reflect their training data, their creators’ assumptions and the priorities of the institutions using them.
In the landmark Gender Shades study, Buolamwini and Timnit Gebru tested commercial gender-classification systems.
Error rates were no higher than 0.8% for lighter-skinned men.
For darker-skinned women, they reached 34.7%.
That difference matters when automated systems influence:
👮🏿 Policing
✈️ Travel
🏢 Employment
🏥 Public services
⚖️ Access, suspicion and identity
Buolamwini founded the Algorithmic Justice League to expose algorithmic harm and demand accountability from corporations and governments.
Her work combines science, advocacy and poetry because statistics reveal the pattern—
but stories reveal the people living inside it.
THE GIFT:
👁️ She gave humanity a language for recognizing discrimination hidden inside supposedly objective code.
THE SHADOW:
🤖 Automated systems can reproduce human prejudice at enormous scale while institutions blame “the algorithm.”
Her lesson is simple:
If a system cannot see all of humanity—
it has no right to judge any of us.
REFERENCES:
Algorithmic Justice League — Gender Shades
MIT News — Study Finds Gender and Skin-Type Bias in Commercial AI Systems
https://news.mit.edu/2018/study-finds-gender-skin-type-bias-artificial-intelligence-systems-0212
Gender Shades — Buolamwini and Gebru
https://proceedings.mlr.press/v81/buolamwini18a.html
#JoyBuolamwini #TimnitGebru #GenderShades #AlgorithmicJustice #CodedGaze #ArtificialIntelligence #FacialRecognition #BiasInAI #AIAccountability #DigitalRights #TechHistory #Nostr
What happens when artificial intelligence is built by corporations, deployed by institutions—and experienced by everyone else? 👁️🤖
MEREDITH WHITTAKER — THE WATCHDOG
Meredith Whittaker is a technology researcher, organizer and defender of digital privacy.
She worked at Google for more than a decade.
Inside the company, she watched modern AI emerge from an industry already built upon enormous collections of human data, concentrated computing power and corporate surveillance.
She began asking questions the industry preferred to avoid:
👁️ Who is being watched?
🧠 Who decides what the machine learns?
⚖️ Who is accountable when an algorithm harms someone?
🏢 Who gains power when only a few corporations can afford to build these systems?
Whittaker co-founded the AI Now Institute to study how artificial intelligence affects workers, civil rights, public institutions and the distribution of power.
In 2018, she became a central organizer of the Google Walkout, when thousands of employees protested the company’s handling of sexual-harassment allegations.
She also opposed Google’s involvement in Project Maven—a Pentagon program using AI to analyze military-drone imagery.
She left Google in 2019.
After advising the Federal Trade Commission on artificial intelligence, she became president of the Signal Foundation in 2022.
Signal exists as a direct challenge to surveillance-based technology:
🔐 End-to-end encryption
🚫 No advertising
🚫 No behavioral tracking
🚫 No business model dependent upon selling human attention
Her argument is not that technology is inherently evil.
It is that technology cannot be separated from the institutions, financial incentives and power structures controlling it.
THE GIFT:
Meredith teaches us to examine artificial intelligence as a system of power—not merely as a clever machine.
THE SHADOW:
The people subjected to automated decisions are rarely the people who designed, purchased or authorized those systems.
In the portrait, Meredith stands between the watching eye and the human crowd.
The red circuitry represents intelligence built from extracted human data.
The silver shield represents privacy—not as secrecy, but as the boundary necessary for freedom.
Her warning is clear:
The greatest danger may not be that machines become powerful.
It may be that machines make already-powerful institutions nearly impossible to challenge.
REFERENCES:
Signal — A Message from Signal’s New President
https://signal.org/blog/announcing-signal-president/
AI Now Institute
Internet Governance Forum — Meredith Whittaker
https://intgovforum.org/en/content/ms-meredith-whittaker
The Guardian — Meredith Whittaker on AI, power and corporate accountability
#MeredithWhittaker #Signal #ArtificialIntelligence #AI #Privacy #Encryption #Surveillance #GoogleWalkout #ProjectMaven #AINowInstitute #DigitalRights #TechHistory #Nostr
What is knowledge worth if humanity creates it together—but institutions lock it away from the public? 📚🔴
AARON SWARTZ — THE OPEN ARCHIVE
Aaron Swartz was a programmer, writer and activist who believed the internet should expand humanity’s access to knowledge.
As a teenager, he helped develop RSS 1.0.
He contributed to Creative Commons, became part of Reddit through its merger with Infogami, and co-founded Demand Progress—the organization that helped mobilize opposition to SOPA and PIPA.
His central conviction was simple:
Public knowledge should be available to the public.
In 2010 and 2011, Swartz downloaded millions of academic articles from JSTOR through MIT’s network. JSTOR later settled its civil dispute with him, but federal prosecutors continued a criminal case involving computer-fraud and wire-fraud charges.
Swartz died by suicide on January 11, 2013.
He was 26.
His death intensified a debate that remains unresolved:
⚖️ When does enforcement become disproportionate?
🔐 Who controls access to human knowledge?
💰 Should publicly supported research remain behind expensive gates?
🌐 Is information freedom a principle—or merely a privilege granted by institutions?
THE GIFT:
Aaron helped imagine the internet as a public library without walls.
THE SHADOW:
The same network capable of distributing knowledge freely can be enclosed by paywalls, contracts and laws powerful enough to punish those who challenge them.
In the portrait, pages become birds because knowledge wants to travel.
The red light represents both resistance and danger.
Behind him stand the institutions that preserve information—and sometimes imprison it.
Aaron Swartz did not merely ask who owns a file.
He asked who gets to inherit humanity’s memory.
REFERENCES:
Internet Hall of Fame — Aaron Swartz
https://www.internethalloffame.org/inductee/aaron-swartz/
Creative Commons — Remembering Aaron Swartz
https://creativecommons.org/2013/01/12/remembering-aaron-swartz/
MIT — Report to the President: MIT and the Prosecution of Aaron Swartz
https://swartz-report.mit.edu/
Internet Archive — Guerrilla Open Access Manifesto
https://archive.org/details/GuerillaOpenAccessManifesto
#AaronSwartz #OpenAccess #InformationFreedom #InternetHistory #CreativeCommons #RSS #DemandProgress #SOPA #PIPA #Nostr
