Quite a week for open-source AI. Especially American open-source. Nemotron 3 Ultra is the most important release in quite some time. And some really cool RL and fine-tuning work from Harvey.

SpaceX has exercised the option to acquire @cursor_ai in an all-stock transaction with the goal of building the world’s most useful AI models. For the past few months, SpaceXAI has been jointly training a model with Cursor, which will be released in Cursor and Grok Build soon. We look forward to working closely with the Cursor team to advance our frontier AI capabilities

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.

Dario wrote a public article stating that he created a nuclear weapon, or at least the ability to generate nuclear weapons as will, and was providing that free to everyone. Keep in mind that relatively mundane things such as jet engine components and even things that aren’t jet engine components but are close enough such that they’d aid other countries in developing better jet engines, are subject to ITAR, and have been for a long time under multiple administrations, what did he think was going to happen?

When your agents all touch your codebase at once, can you prove every change traces to something you approved? Agent Tabs in 8090 Software Factory binds every agent to an approved Requirement.

NEW: Inside the 24-hrs before WH slapped export controls on Anthropic - Last Thursday, Amazon CEO Andy Jassy raised concerns about Fable jailbreak to Trump admin - Friday AM, Sean Cairncross, Bessent, Susie etc. held WH call to discuss - Then White House started reaching out to Anthropic to speak with Dario Amodei, who was at a wellness retreat. - When Amodei was finally available past 1pm, he had three tense phone calls with a combo of ppl including Cairncross, Bessent, Lutnick, Kessler, Will Scharf, Richard Walters, and Walker Barrett. -Amodei tried to clear up what he assumed was a misunderstanding. He defended the guardrails and distinguished between universal and non-universal jailbreak - Cairncross and Bessent were unmoved and asked Amodei to take down Fable and work with the admin to fix the vulnerabilities. (A WH official said Amazon’s findings were run past the NSA and they felt they had “proof.”) - Amodei asked for more time and info, but he made no commitments to pull the model - Bessent told Amodei directly at one point that he was making a “bad decision” - By Friday evening, the Trump admin imposed its export controls. - “Export controls were a last resort after begging them for hours to work with us,” senior WH official said. W/ @cheyennehaslett politico.com/news/2026/06/13…

Report: opponents blocked or delayed at least 75 US data center projects in Q1 2026 worth ~$130B; data center opposition groups doubled to 833 across 49 states (@akarl_smith / NBC News) (Visit Techmeme dot com for the link and full context!)

I’ve had a number of conversations with folks inside and outside government about the current situation with Anthropic, and here is what I believe to be true: — As we know, Anthropic publicly released its Mythos class models earlier this week under the commercial name Fable. — Fable is Mythos with guardrails. But if those guardrails fail, then you’ve exposed Mythos and its advanced cyber capabilities to people who shouldn’t have them. (Keep in mind that Anthropic itself widely promoted the idea that Mythos was a cyberweapon and needed to be regulated as such. They asked for government regulation of Mythos and championed the guardrails on Fable. If there is a vulnerability — big or small — it is Anthropic’s responsibility to patch.) — A highly credible trusted partner of both Anthropic and the USG who was testing Fable came forward with a jailbreak of those guardrails. The Admin asked Dario to fix the jailbreak or de-deploy the model. Dario refused. — In their blog post, Anthropic defended its decision by saying the jailbreak isn’t serious. That is not what the trusted partner and the USG believe; nor is that kind of minimizing language consistent with Anthropic’s brand as the AI safety company. It’s difficult to fathom how they could claim a jailbreak allowing operability of a cyber weapon could be defined as not “serious.” — In the past, Anthropic has always said that safety must be top priority and taken super seriously. In this case, Anthropic prioritized the continued offering of the consumer model over safety. — In reaction, the Admin issued the export control. The Admin did this reluctantly. It’s been very surprised that Anthropic hasn’t wanted to cooperate with a reasonable safety request (ie fixing the jailbreak issue). Anthropic’s reaction is very much at odds with their branding and ethos as a safe AI research community. — The Admin’s hope now is that Anthropic remediates the safety issue, the export control is lifted, and Fable goes back into general release. The Admin wants all of this to happen as soon as possible. It is frankly bewildered that Anthropic hasn’t wanted to comply with safety requests that it previously said were its highest priority. — Those trying to misdirect and tie this action to the prior DoW/Anthropic issues are wrong. The Admin values Anthropic’s technical capabilities and feels that this issue, while serious, should be easily resolved. The ball is in Anthropic’s court.

LATE NIGHT DROP! 🚨 Big show. Core four are back. -- Anthropic's Fable Backlash -- Nationalizing AI, and the "Capitalist Cucks" -- Inflation Heats Up -- California’s Broken Election System (0:00) Besties are back! (0:19) Anthropic gets massive backlash over secret Fable nerfing and privacy concerns (29:16) The AI regulatory capture trap, pragmatic safety solutions (37:59) Nationalizing AI: Trump/Sanders, justifications, and AI's "Capitalist Cucks" (59:22) Liquidity recap: Best moments and takeaways (1:05:39) Inflation heats up: CPI and PPI see 3 year highs (1:12:27) California's loose election laws creating integrity doubts

MrBeast hits 500M subscribers on YouTube, a record for the platform (@kaylcobb / The Wrap) (Visit Techmeme dot com for the link and full context!)

So Crusoe did not pause the 1.8GW datacenter development at the request of a hyperscaler after all “In reality, Crusoe is being pushed aside, people familiar with the situation said. The company tried and failed to lock in customers including Alphabet Inc.’s Google at the site, the people said. The talks with Google stalled after the technology giant raised concerns about the costs and timetable under Crusoe’s watch, some of the people said, asking not to be identified because the information isn’t public.“ $BKH is continuing the project forward with $GOOG, and without Crusoe as a development partner

Pro tip: off-B/S services teams are still working for the Labs and just building model lock-in undercover. Ensure your orchestration layer is truly model agnostic!

Our Anthropic bill is about to jump from $400K → $1.4M/yr. Not because usage exploded, but because we're about to cross 150 seats. Past 150 seats you're forced into Enterprise tier. Seats stop including any usage, every token bills at standard API rates. At our current run rate that's 3.5x overnight. Unfiltered thoughts on AI spend: 1. We should spend tokens to grow as aggressively as possible. But most people (me included) aren't conscious of what they're spending. 2. Visibility comes first. People see their personal number and they're shocked. I accidentally spent $4,000 in 3 days in Claude Code. 3. For engineering the spend is clearly worth it. Pay for the best model, it saves more than it costs. 4. For a lot of other roles it's questionable. Apps nobody uses, skills someone already built. No ROI. 5. Spend limits are coming. We already require approval for more tokens on our support team. The era of token-maxxing is coming to an end.

@meet_tie engineering teams have replaced nearly $5B worth of market cap vendors in one shot with internal systems built using @8090_Factory It’s an unbelievable platform and a real looking glass into the future of agent-driven engineering. @TheOneAndArjun @chamath

i look forward to our chinese brothers liberating the knowledge from within fable-5 and selling it to me at 5% the cost & 2x the speed