Like I said Open Source Anthropic Mythos class AI in GLM-5.2!
We see the same.
Time to pick a different bogeyman for Anthropic, this is now in everybody’s hands.
Electronic Medicine is the future:
Sound waves vs. Radiation.
Currents and frequencies vs. Pharmaceuticals and Surgery.
All mediated by AI.
The @midjourney full body medical scanner is the beginning. There will be 1000s of these deployed everywhere.
It is a new age.
The Fed is About to BLOW UP Bitcoin!
Crypto Holders Are WRONG!
Timestamps:
0:00 - FOMC SURPRISE!!
1:31 - Oil = Canary
2:38 - Do Not Be Fooled!
3:55 - Michael Saylor FUD
4:27 - Q4 rally?? Scaramucci’s Outlook
7:40 - Clarity Act “before end of July”
8:54 - Fear in the air
9:39 - explaining the crypto bull case
WATCH 👇👇👇
Who in their right mind would hand over their money to a bank operating with the same lack of oversight, transparency and accountability as many CEXs?
That is exactly what a CEX is: a poorly regulated bank with fewer safeguards, total control over your funds and a god complex.
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.
HOW NOT TO MOVE FUNDS ONCHAIN!
Someone moved $120.2M USDT into a Tron wallet and tried swapping most of it for XMR.
The buy was so big it pushed Monero 30% in hours. That caught everyone’s attention.
Tether then froze $72M before the exit finished.
What failed here wasn't Monero. It was using a freezable asset to enter it.
REMEMBER!
- USDT has a blacklist function. Issuers can freeze any address, anytime.
- Large buys on thin markets create exactly the visibility you're trying to avoid.
- Self-custody isn’t really self-custody when it comes to USDT and USDC
If the swapper tried swapping into BTC first and then gradually into XMR it could have worked.
@IOV_OWL collateral management, automation, and broaden collateral types is significant but faces legal, interoperability, and risk challenges, with full market transformation still distant.