$340 antminer s9 $25 Ethernet switch $20 fireproof vent tubing / tape $? A few hours figuring it all out $IOU beers @RoninMiner for consultation services 😜 $Priceless … feeling like a complete badass chick and member of the team when it flashes green… ❤️ #BTC

Rare that a sequel is as iconic as the original, but she’s an unstoppable force.

Annabel Richter was a 19 year old FIT student. She was fed fentanyl by a man named Moises Friere who told her it was cocaine. Friere knew what he was doing — he gave the drugs to two female students and didn’t take any himself. While Annabel was overdosing, Friere stripped off her clothes, took photos of her naked body, and then raped her instead of calling for help. Because of what he did, she is dead. There are no “I am Jane Doe” rallies for Annabel Richter. There is no daily coverage of her death on CNN. There are no New York Times investigations creating timelines of her last day. Unless you read local crime news in New York City, you will not have heard about this case. Why is Cornell’s Jane Doe of so much more interest to mainstream news than FIT’s Annabel Richter? Perhaps because news loves to create narratives about predatory white male college students and refuses to make national-news villains of men like Friere, who commit most of the actual crime in places like New York City. The NYT and CNN aren’t lying when they do 50 stories about Jane Doe and zero about Annabel Richter. They’re just exercising editorial judgment about which parts of the news you need to hear.

Don’t even compare 👇🤣😂

Where are the @SecRubio memes about needing to stay on as @PressSec ?

liz warren: we’re gonna stop the mayonnaise company from buying a hot sauce company elon musk:

I spent 48 hours in SF hanging out with billionaires, data labs and AI founders and execs running $1B to $100B companies. My observations: 1. Sooo MANY stories of data brokers making like $2M a WEEK selling company data to labs. I can't tell if it's the beginning or a bubble, and I kept wondering which niches are left. Digging into it actively. 2. At dinner, someone asked the table, "If a new model drops next month, does your company get better or worse?" HALF the table went quiet! I think that's the best question to ask about any AI startup right now. 3. The bar people talk about now is hitting $1B in revenue in 12 months (I guess that's the new unicorn?). What I didn't hear much about is retention. AI revenue can come in fast and leave fast, and I think we're going to see a lot of stories of AI companies with huge revenue and terrible retention. 4. It's pretty clear we're living through the reinvention of the computer. The model is the CPU, the harness is the operating system, and skills and plugins are the apps. Thinking about it that way makes it easier to see where the whitespace is. 5. We're maybe 12 months from an agent that can watch you work for a week and then do your job without any instructions. The screen recording plus agent memory plus local model combination makes this possible right now. 6. Agent harnesses feel like the new GPT wrappers, in a good way, especially vertical ones. The best teams I talked to treat the model as swappable. One founder walked me through routing different models to different jobs: one for taste and visuals, a cheaper one for the everyday stuff, another for text. They use prompts they can move across models over fine-tuning, and A/B test the output on what users actually do with it: do they edit it, export it, share it? A vertical harness is basically four things: the connectors for that industry's data, evals written by people who know the work, rules for what the agent can and can't touch, and a clean screen for a human to review. The model is maybe 20% of it. 7. There's a lot of reverse engineering going on/cloning going on more than I've ever seen. People are decompiling software and rebuilding it with agents, and someone showed a suite of like 10 apps that are worth $5B+ each all that he cloned open source. Me and everyone are still thinking through what it means when software gets this easy to copy. 8. My guess is the value moves to data. If the software can be rebuilt quickly, what's worth paying for in a legacy SaaS company is the years of customer data and workflows inside it. Some SaaS companies are secretly data companies. Gets me thinking about how do you truly value data for this saas companies? Like if we were buying these dying saas companies at 2x ARR before (as example), maybe there is a better metric. Idk, just thinking out loud here. 9. It feels like a good chunk of legacy software won't make it to the agentic era, especially anything built around people clicking through a lot of screens. 10. Every company I talked to wants to pipe its internal data into one place and expose it to agents through MCP. Then they look at the data and realize it's a mess: five versions of the same customer, old Slack channels, PDFs nobody can search. Cleaning that up feels like a big consulting opportunity! 11. A lot of founders are building the basic building blocks for agents: APIs, data layers and tools. Some of the companies I saw barely have a UI because the main user is an agent. I really believe the startups that build primitives to this agentic era will do extremely well. Building blocks is the best way to think about it. 12. Labs can get plenty of training data, but it's harder to get real examples of agents failing inside companies. Whoever has those logs has something valuable. 13. Someone running a big consumer company told me the next fight is over memory. The model that remembers the most about you wins, and the smartest model matters less than people think. 14. Physical AI came up a lot. Astra I think was the first model that got people into AI can actually do CAD, and I think a lot of people are thinking what does vibe manufacturing really look like. The line I keep thinking about came from a robotics founder: the hardest problems in AI are deployment problems now, not research problems. Their robots work on their own, call a human when they get stuck, and every one of those calls becomes training data. 15. Cybersecurity companies are having a moment and are actually cool companies to build now, especially the ones that clean up after a breach. Every agent with access to your systems is a new door into your company, and a lot of those doors were left open. 16. Some startups are worth more dead than alive now. A shutdown company with 5 years of Slack, email and code can get paid for licensing all of it. I wouldn't be surprised if founders start factoring that into when they shut down. 17. People are starting to talk about monetizing the agent web. It feels really early, but when the most popular user of the internet is an agent, what startups should you be building? 18. I think agent insurance is coming. Once an agent makes an expensive mistake, insurers will want audits before they cover anyone. 19. Several people said the hire they want most is someone with taste who can write evals. The models are getting good at generating ideas, so the hard part is judging which ones are good. 20. New trend I observed: startup raises VC, uses venture dollars to become a creator, startup fails, founder falls back on being a full-time creator and incubates other products bootstrapped. 21. Getting SIGNIFICANT distribution is HARD right now. Founders are sponsoring buses, buying billboards like crazy and throwing parties with famous DJs to get noticed. Kinda feels dotcom era in that sense. Attention is what's scarce! The growth guy going viral sharing his UGC strategy from Wispr Flow is a good example. It's the sauce everyone wants, and I truly believe there are probably only 50 people on the planet who know how to scale these types of businesses efficiently in this era. Always good to get that dose of SF. I felt sooo lucky to have such an incredible trip during such an incredible time in building businesses. Surreal in so many ways. Happy to be home and locked in. Until next time!

“We have guns too” 😂😂😂

Today @unchained turns 10. It's been an immense privilege for @dhruvbansal and me to build on this frontier with an incredible team. We've helped clients protect billions of dollars of bitcoin, were among the first (and longest-running) bitcoin-backed lenders, and pioneered the term collaborative custody. Above all, we're proud to have built a financial services company on principles that resonate with Bitcoiners: eliminating single points of failure and empowering true ownership. Those principles will outlast all of us and paint the way for the institutions that will come to dominate the next century. Thank you to our team, past and present, and to the Bitcoin community for your support. 🧡

Omg thanks for ending the meeting 4 minutes early and "giving me some time back" now I can finally pursue my passions.

EntropyLab’s first release candidate, v1.0.0rc1, is here. 🪨 A Bitcoin key and wallet calculator in one HTML file. You bring your own entropy; it does the math offline. Download, verify, disconnect. Send feedback: github.com/OogaBoogaX/entrop…

How can you NOT believe in God when octopuses dream and otters have a favorite rock they carry around in a little skin pocket and cows have best friends and bees are out there communicating the coordinates of flowers through dancing and they have regional dialects? Cats are purring at frequencies associated with bone healing? Forests get absolutely incinerated and respond by growing flowers? Dolphins literally invent names for themselves and yell them across the ocean? Penguins are waddling around Antarctica looking for the perfect rock to give their partner? CROWS REMEMBER YOUR FACE. THEY TELL OTHER CROWS ABOUT YOU. THEY TELL THEIR CHILDREN ABOUT YOU. YOU CAN HAVE GENERATIONAL BEEF WITH A BIRD. I NEED YOU TO UNDERSTAND THE SIGNIFICANCE OF THIS. Goats have accents. Rats laugh when you tickle them. Elephants mourn their dead. Whales make songs and then OTHER WHALES LEARN THE SONG and suddenly everybody across the ocean is singing the new song. Monarch butterflies are born knowing how to fly thousands of miles to a place they have never been. Sea turtles hatch out of an egg, immediately sprint toward an ocean that they have never seen, disappear into it for like 3 decades and then somehow come back to the same beach they hatched on. Birds can see colors that we humans can’t see. There are colors out there right now that we don’t even get to know about. There are sea slugs that eat algae and use the chloroplast/chlorophyll and then are just like…photosynthesizing. And they’re super adorable. There are mushrooms communicating underground. There are seeds sitting in the dirt for decades like “no actually I will wait. It’s fine.” Squirrels plant trees because they forget where they put their snacks. Relatable. A CATERPILLAR GOES INTO A LITTLE BAG THAT IT CREATES ITSELF AND DISSOLVES MOST OF ITS BODY INTO ORGANIC GOO AND REARRANGES ITSELF, GROWS WINGS AND THEN LEAVES. WHY IS THIS NOT MORE BEAUTIFULLY TERRIFYING TO PEOPLE?? And you’re telling me a tiny acorn knows how to become a huge tree? It just has a blueprint inside itself? Your body started as ONE CELL. ONE. And that cell divided itself into a brain that can think about its own existence and eyes that can look at stars and hands that can hold somebody else’s hands and a heart that runs on electricity without you even asking it to? The iron in our blood was made inside a star?? We are walking around on a wet rock covered in bioluminescent oceans and singing whales and laughing rats and birds holding lifelong grudges and flowers exploding out of fire and somehow we’re supposed to act like this is a normal place to live? We’re supposed to act like this is all just a random, accidental sequence of events?

Time to give away another signed copy of UNCONFISCATABLE! LIKE and RT for a chance to win. Download on Audible / buy on AMZN

What am I prepared for? Thx babe. Who knew I needed a titanium pencil weapon. But clearly I do. @BITCOIN_RAIL @RoninMiner @americanhodl8 @Florida_Btc

Castor oil.

… @BritishHodl @dotkrueger @GaryCardone 😂😂😂

A female lovemaxxing influencer called molycular

Someday I’ll regret paying $10,638 for pastries. But today I love that I can. @jack @CashApp

Marco Rubio realising he’ll have to be Ed Sheeran’s new opening act.

Diesel shortages lead to famine. Global famine. Fat people last longer in famine. America’s obesity problem, turns into America’s obesity solution. We played the long game. Checkmate, skinny China. 🇺🇸