We know curiously little about the first female, Eve: > never heard from her > no data on her life > manufactured from man > was second > is to blame Eve is our foundational concept of a woman, yet she is not legible. Why? For 1,400 years, humanity was confused about planets too. When the ancient Greeks looked up to the sky, they saw some lights (stars) appeared fixed, while other lights (planets) moved erratically. They couldn’t understand why. From their vantage point, Mars would stop, reverse, loop backward, and then resume. Planets were bewildering, called "wanderers". To Greek physicians, the womb was also perplexing. They taught that the womb moved freely, a restless wanderer inside the body. They looked up at the sky, and at a woman, and concluded the same thing: they are erratic and wandering. To resolve this planetary madness, astronomers spent 1,400 years trying to understand. They used complicated models, overlaying circles onto circles (epicycles). Then, Copernicus and Kepler figured it out. Two insights solved over 1,400 years of bad explanations. It turns out the observed was not fixed, and the orbits were ellipses, not perfect circles. Our bewilderment about female health only means it is yet to be understood. There’s a reframe waiting to happen. In the fifth century BCE, Polykleitos sculpted the male body as a system of ideal mathematical proportion. Setting the historical trajectory for the “ideal” body. This passed through Vitruvius and then was immortalized by Da Vinci. This is how the default template of the human body was established. The male body was chosen because it held still, not because it was superior. It lacked the cyclical, "erratic", misunderstood shifts of the female body. Perhaps it's time for another reframe. In the next 90 days, Kate will become the most measured female in history. Three of her menstrual cycles (orbits) will be meticulously tracked. > 1,900 biomarkers tracked > 14.8 million data points > 100 tasks a day > 6-10 hours a day > 50+ devices > brain, taste, smell, and more > 3 menstrual cycles The effort will reveal new insight into female health, though that’s not really the primary objective here. Kate is trying to become legible. First to herself, and then to others.

37,000. That's how many civilians died needlessly in armed conflicts in 2025. Civilians are #NotATarget#. International humanitarian law requires all parties to armed conflict to protect civilians and civilian objects. Protecting civilians is not optional. It is a legal obligation. #PoCWeek2026#

I just shared a workflow with stakeholders @sparkfinance — get data insights directly through @claudeai + @Dune MCP, no analyst needed. 🧵 ➢ The workflow: 3 steps 1. Identify the right dashboard Match the stakeholder's question to the relevant dashboard. Each dashboard sits on top of pre-validated intermediate tables I maintain — two reasons this matters: • Accuracy — data is validated before AI even touches it • Cost — pre-aggregated tables consume far fewer Dune credits than pulling raw on-chain data 2. Drop the dashboard URL into Claude No SQL. No data wrangling. Just a prompt. 3. Keep drilling down in the same chat The tables are granular enough for follow-up questions without starting over. ➢ Why dashboards? Raw tables are slow and error-prone. Dashboards are pre-validated, pre-aggregated, and always fresh. You get accurate data instantly — and the AI can reason on top of it without guessing. ➢ Example prompt for SparkLend weekly analysis: Please use Dune MCP to pull the latest data from these dashboards. Summarize key changes over the past 7 days: TVL, utilization, whale activity, top risks. One message. One minute. Done. ➢ Somewhere along the way, I became the AI's data engineer. I build the tables. I validate the logic. I maintain the pipelines. The AI does the analysis. Honestly? I'm fine with that. That's what frees me up to learn more, ask better questions, and do the work that actually matters. Setup Dune MCP: Thanks @Dune for building this — making it genuinely easy to bring AI into on-chain data workflows. 🙏 cc @blstamm11 @kdotkrisp @fr0zensun

A 20 year fiber optics professional confronted Paulding County Commissioners during a public meeting in Georgia He says they are secretly lying to residents about no data centers being expanded because he sees fiber lines being put in that are for a data center and costs $2 million dollars “It costs between $50,000 and $100,000 a mile to install, and you're telling me no data centers? Nobody's doing that on a maybe… I mean, that's almost a $2 million dollar investment.” “Somebody needs to explain it to me. Either you're not gonna do it, or you are gonna do it, you're lying to them, or you're lying to us. I need to know. That's what I wanna know. 'Cause they're not putting that in for giggles. I've done this for 20 years” He pulled the records of the company putting in the lines and they only do this for massive projects, not residential like the Commissioners are claiming. So they’re openly lying to residents about a data center project Officials had been telling residents there is no data center going in at Cole Lake Road. This professional in the industry of 20 years is saying the fiber work already in the ground does not match their story I did my own research and this guy is SPOT ON - The company putting the lines in is called Zayo - GreyStone Connect is the company that does residential Internet Zayo is the company that’s putting in those specific lines he’s referring by to. Zayo’s business is hyperscalers, banks and media. They do not sell you home internet Mixing those 2 companies is how officials keep dodging the question So it’s essentially confirmed these lines are going to be used for a hyper scale data center Government officials who openly lie about things like this should all be removed. The entire council should lose their jobs

Over 300,000 phones are now onboarded to Acurast. Another major milestone. These hundreds of thousands of phones are helping build the biggest decentralized compute network in the world, using already existing hardware. No data centres needed. The next cloud is in your pocket.

$MRK $MRNA news filtered through all the societal lenses in my X timeline: The MAGA MAHA crowd say mRNA jab doesn’t treat cancer, it gives you cancer. The Silicon Valley longevity bros say AI just cured cancer. The priestly science nerds say press releases with no data are evil. The Wall St. hedge fund bros say Moderna’s stock price is a war crime.