When you look at the economics of spacex vs Tesla now. Whats to stop Elon from ignoring national licensing bodies and bypassing local internet firewalls in a world increasingly moving towards censorship with Starlink. Honestly what would the Uk and Australia actually do?

🚨 UPDATE: In an emotionally charged moment, "Under Secretary of the Navy Hung Cao publicly apologized — on camera — to every sailor and Marine" who was kicked out of the military for refusing the COVID-19 vaccine. "He vows to REINSTATE them and never allow this to happen again."

This is legitimately sickening: > the sitting prime minister Keir Starmer presided over public prosecutions of thousands of rape cases > he let **13,000** suspected rape gang members and pedophiles off with **warning letters** > now that this information is blowing up on x, he is leading the charge to ban x I knew it was bad, I didn't know it was this bad It would be difficult to imagine a more evil and treasonous politician. This is movie-level evil.

Nothing better than an outside perspective! America is amazing, unfortunately punctuated by absurd little-minded people complaining about fake problems to justify their existence Enjoy your trip Sam!

Just in from Jeremy, buckle up for the last two episodes…😅

This is the most shocking report coming out of the UK.

The tone of Season 5 of Clarkson's Farm, while sad, seems once again to absolutely nail the mood of how the public feels about the government

Europeans and American patriots! Tomorrow, the courts of my country, France, may decide to send me to prison for daring to say on television that “the main danger to women in France is Black African and Arab immigrant men.” Meanwhile, my own attacker, a Tunisian migrant, is still at large. I need your help to generate media pressure and hope to be acquitted. They cannot silence the truth! Thank you for your support 💪🏻🇫🇷

1/7 🧵 🚨 “STOPPED COLD”: FBI Uncovers 23-Person Drone-and-Sniper Plot to Massacre Crowd at Trump’s White House UFC Event — 5 in Custody Explosive Drones, Snipers, a White House Gate Assault — The 23-Person Terror Plot the FBI Crushed in 6 Days This is genuinely one of the most chilling and operationally sophisticated domestic terror plots we’ve seen in years. Let’s break it down.

All these people welcoming a ban of social media as parents need a hard look at themselves in the mirror. You delegated your parenting to the government.

This AI just exposed the BIGGEST legal insider trading operation in America. A platform called GovGreed built a seven-layer machine learning system that cross-references every stock trade disclosed by every sitting politician against the bills their committees control, the campaign donations they receive, and the companies their votes directly impact. It scored all 540 politicians currently in Congress. And the numbers are crazy: 56% of every stock purchase made by Congress in the last 16 months was on a stock directly affected by a bill the buyer later voted on. That is 6,170 out of 11,016 total purchases. More than HALF of all congressional stock buys are on companies whose fate that same politician is about to decide. 343 of 540 Congress members actively trade stocks while holding access to nonpublic legislative information. That is 63.8% of the entire legislature making market bets with an informational edge that would put any hedge fund manager in prison. The AI identified 752 active "Triple Signals" in the current Congress. A Triple Signal fires when three conditions line up at once: The politician sits on the committee controlling a bill, they traded stock in a company affected by that bill, AND they received campaign contributions from that same industry. Bills carrying these insider indicators pass at 5.4 TIMES the normal rate. Now look at the individual leaderboard: - Nancy Pelosi's estimated portfolio sits at $194 million with a Greediness score of 98.1 out of 100 - Ro Khanna made 13,231 trades across 800 different tickers - Michael McCaul made 32,302 trades and filed 6,670 of them late - Thomas Suozzi filed 86.4% of his trades late with an average delay of 396 days, meaning his disclosures landed over a YEAR after he made the trade And then there is Lisa McClain, the fourth-ranking Republican in the House. She has made 1,443 trades in three years, more than 98% of all politicians tracked. She violated the STOCK Act twice in a single year, disclosing up to $900,000 in trades months after the legal deadline. Her husband bought up to $250,000 in Elon Musk's xAI, which quietly converted into SpaceX equity before last Friday's $2 trillion IPO. The penalty for all of this? A $200 fine. The number of Congress members ever prosecuted under the STOCK Act since it passed in 2012? Zero. And the cruelest part is this: A bill to ban congressional stock trading was introduced in January 2026. It has bipartisan support. Over 80% of American voters want it passed. But Congress is sitting on it, because the people who would have to vote yes are the same people making millions from the system staying exactly the way it is. They write the insider trading laws, they exempt themselves from enforcement, they trade on the information those laws generate, and when they get caught, they pay a fine that is basically nothing. The AI didn't discover anything Congress was hiding. It just organized what was already public into a pattern so obvious that nobody can pretend it isn't there anymore.

This is not safety. This is narrative control. This is 1984.

This is why companies need a much harder transformation than many are going through. Most CEOs don’t have the guts to lead through this.

Yes please let’s have more regulation, taxes, and virtue signaling. We have a Detroit problem on our hands

What’s better than a rare Super Delta formation featuring the Thunderbirds and the @USNavy Blue Angels over Washington, D.C.? Watching it from four different views for #UFCWhiteHouse as part of #Freedom250. 🇺🇸

I swear bro...Bessent hitting Newsom with this, might have been the closest thing to a Verbal Knockout that I've ever seen. "Newsom strikes me as Patrick Bateman meets Sparkle Beach Ken. He may be the only Californian who knows less about economics than Kamala Harris." Like, u don't say "nice one"...its omg, or silence. It's Carthage in 216 BC. The war ends, nothing is left but scorched earth...complete and total annihilation. Lesson in there for real Bessent's command of English, his demeanor...calm yet amused, hints of contempt and scorn and mild annoyance at having to swat this pesky gnat all shows u that war doesn't have to be long or drawn out. 15-20 words is all u need -- delivered with a smile -- is all it takes to just bury a motherfucker. perfect 10/10 and then puts alex soros in a closed casket for absolutely no good reason lmao clean domeshot - "sugar daddy" - ping. he bodied those two guys so bad, u forgot that Kamala caught a vicious stray off the rip. triple kill. son muerte...seeya later bozos 😎 Bessent = Top 3 Americans of my lifetime, and I don't know who 1 and 2 are...cannot remember ever feeling so proud of an official 🇺🇸

Cute theory, let's play it out. A monkey hoards a trillion bananas. The troop, enraged, beats him to death. They gather around the pile to feast at last. But... oh wait, there is no pile. It turns out the "bananas" were shares in a banana-launching company the dead monkey founded. The shares were worth a trillion because he was alive to run it. Now he is dead and the stock is worth $0. The retarded monkeys have clubbed their way into a recession. But it gets worse. Half the "bananas" were tied up in a rocket that supplies bananas to monkeys on the far mountain who had no bananas at all. Another chunk was tied up in a little satellite dish that beamed banana coordinates to the troop after a flood took out their trees. So now they realized they beat to death the only monkey who knew how the dish worked. So the monkeys sit there. No bananas. No rockets. No coordinates to get more banananas. Just a dead body and a powerful sense of fairness as they all now became infinitely poorer. OH And somewhere a smaller monkey watches the whole thing and quietly decides he will never build anything in front of these animals again.

"Sound Transit’s failure is not an engineering failure. It is a governance failure. Sound Transit has become an unaccountable political machine: the same leaders who designed the failing plan, appointed the board, selected the executives, and normalized the overruns are now asking the public for more time, more money, and more trust. That is the status quo that must be broken." In a Special OpEd to the Seattle Times; Scott Kubly (Former Director of Seattle DOT) calls for the dissolving of the current 'Dow centric' Sound Transit Board, to be replaced by people who actually know how to run a $200 Billion transit agency. (What a concept) @skubly | @SeaTimesOpinion 'Sound Transit needs a massive reset. Here’s how that could work' Article: seattletimes.com/opinion/sou…

Magic. western governments do not need more money. They need to stop spending it on useless shit.

THE TOKEN HANGOVER @matanSF (Matan Grinberg), CEO and co-founder of @FactoryAI , interviewed by @HarryStebbings (@20vcFund ) This is a special for me since I've been an investor in @FactoryAI since their seed round, and think Matan is a very very special founder. Summary: Grinberg argues the next 24 months in enterprise AI are a resource-allocation problem: tokens, dollars, and people. Most CIOs are now waking up to bills they cannot justify. The fix is to spend frontier tokens only on the 10-20% of work that requires planning intelligence, run the other 80-90% on open models, and rebuild teams around load-bearing polymaths who own business outcomes. The single-frontier-monopoly fear is fading: four roughly-equivalent labs is the emerging reality, which puts pricing power back in the application layer. 1. The Token Hangover. Enterprise AI adoption ran through three phases this year: boards yelling at CEOs about AI strategy, "token maxing" with AI usage written into perf reviews, and now the morning-after bill. One CIO Grinberg spoke to was spending hundreds of thousands of dollars a month on engineers asking Opus 4.8 things like "how's it going" and "what are my macros from lunch." The frontier model became the default surface for every question, no matter how trivial. Phase 3 is the moment routing matters: every call to a frontier model needs to earn its price. 2. Resource Allocation Is the Job. For the next 24 months every C-suite is solving the same problem: how to allocate dollars, tokens, and headcount against business outcomes. Engineering teams used to be judged by features shipped per quarter, a metric with no link to revenue, market share, or retention. A logistics company adding more engineers to ship more features was always solving the wrong problem; AI made the misallocation visible. Tie every person's work to the metric that actually moves the business, then re-allocate. 3. Load-Bearing Individuals. The "10x engineer" frame measures lines of code, the wrong unit. Grinberg's unit is the load-bearing individual: the person whose absence breaks something. With AI the load-bearing few compound roughly 10,000%; the others get close to nothing, so any org enforcing one token-spend-per-engineer number is painting with too wide a brush. Average token spend per engineer will land on the same order of magnitude as their salary within three years, with a wildly bimodal distribution. 4. Frontier for Decisions Only. 80-90% of software development tasks can run on open models; the remaining 10-20% is planning, where the frontier still wins. This mirrors how human orgs work: leadership is a tiny share of total hours but decides the company's fate. The ego trap is engineers assuming their work is too important for an open model. The router decides better than the engineer, and the cost curve falls only if you wire the routing. 5. The Kirkland Mistake. Kirkland & Ellis announced a $500M, five-year internal AI build, which Grinberg reads as validation for Harvey rather than a threat. Building AI is not a law firm's core competency, and Kirkland's spend will teach them how hard it is. The general rule: just because you can build it does not mean you should, and the discipline is naming the few things you and your team own end-to-end. Outsource everything else, even when you technically know how to do it yourself. 6. Model-App Separation. When the model provider also sells the app, the incentives split: an API business wants you to spend more tokens. A healthy market keeps the application layer independent, so model providers compete on price, speed, and quality every week. Enterprises do not want to vendor-lock again; every CIO carries scars from the cloud era's three-year discount-then-jack-the-price trap. The application layer survives precisely because it forces that competition. 7. Sales as Product. Name a legendary company with a weak sales or marketing team. You can't. The Silicon Valley fallacy that research sits at the top and sales is "dirty work" produces companies that win the gold rush and then collapse when gravity returns. At Factory, engineers and salespeople sit intermixed; when sales closes, engineering says "we closed"; when engineering ships, sales says "we shipped." Atrophied sales muscles will not regrow once enterprise buyers stop saying yes to everything. 8. Polymath Era. Da Vinci, Newton, Euler could be polymaths because their fields were shallow. By the 2010s a theoretical physicist needed 50 years to reach the frontier before contributing anything new. AI collapses that catch-up time, so one person can push forward developer marketing, token-caching infrastructure, and solution engineering at once. The engineer of the future is a GM who owns marketing copy, product metrics, and sales enablement. 9. Build the Factory. Factory's name is literal: engineers in the next era design the assembly line that produces software. The DevX investments that used to scale linearly with headcount (good docs, CI/CD, linters, pre-commit hooks) now scale with the number of agents you run, which is 10x or 100x larger. Every dollar spent making agents production-ready compounds against thousands of PRs a week. Humans move up the stack, from writing code to designing the system that writes code. 10. Seal Team Six. Mandating beds in the office is a hiring failure dressed up as commitment. Grinberg's image: a basketball game judged by who sweat the most, when the scoreboard is what counts. Factory bought eight sleeps for all 30 team members at the time, because recovery is where the gains come from when work requires every ounce of brain power. If your load-bearing engineer can do their best work on two hours of sleep, they were not doing load-bearing work in the first place. 11. Four Frontier Labs. Grinberg's biggest mind-change this year: a single dominant model is unlikely, and four roughly-equivalent frontier providers is the more probable steady state. That outcome is the win for humanity. A one-lab monopoly was the dangerous scenario, and four equivalent labs is also the structural bull case for the application layer because it forces real ongoing price competition. Every CIO Grinberg meets has already decided not to throw their lot in with a single provider. 12. Dario's Self-Serving Doom. "AI will take your jobs" was the pitch that helped raise hundreds of billions, and Grinberg thinks it damaged public psychology and fed the slow-AI lobby. Watch the rhetoric flip at IPO: humans will suddenly become important again, because humans are the ones buying the stock. Founders who never needed to raise that money, like Zuckerberg and Hassabis, never made that argument. Incentives drive the labor-displacement rhetoric more than philosophy does.