Seizure of private property is necessary to communist governments, not just for philosophical reasons, but for practical reasons. It is the oxygen which allows them to exist. Our Constitution disincentivizes such seizure, though, by requiring the payment of “just compensation.” Mamdani believes he has found a way around this pesky hurdle. 1/

2/He (1) sets arbitrarily high standards for landlords; (2) cap rent at arbitrarily low rates so economically impossible to meet standards; (3) impose arbitrarily high fines for violating arbitrarily high standards; & (4) seize property when landlord can’t pay arbitrarily high fine.

3/ Abracadabra! Mamdani gets the property, and he pays nothing for it.

Transnational Scammers Are Relying on the CCP to Hide Their Illicit Proceeds.

Americans receive roughly 4 billion robocalls a month and five times as many scam texts.

Just last year, international scammers stole $20 billion from US citizens, according to the FBI.

The US House Select Committee on the CCP @ChinaSelect found that scammers in Southeast Asia are recruiting trafficked workers to run their operations and that the Chinese government is complicit.

A report by the committee details specific instances of abuse at criminal compounds and reveals that these groups launder their proceeds via shell companies and cryptocurrencies.

See relevant quote from @ChinaSelect committee’s report below.

@Mohsen92i @TheBabylonBee @threadreaderapp
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@Mohsen92i @TheBabylonBee @threadreaderapp @threadreaderapp
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@Mohsen92i @TheBabylonBee @threadreaderapp @threadreaderapp
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The UN just "blacklisted" Israel for sexual violence. So I read the report.

Not only does it fail spectacularly at proving systematic sexual violence against Palestinians, it actually makes a far more compelling case for the UN's own systematic dishonesty and incompetence 🧵

Of the 31 "verified" cases, 18 are from 2023–2024, not from 2025, the actual reporting period.

Meaning the UN is recycling prior-period cases to bulk up their numbers, because the actual numbers don't support their premise.

Of those 31 cases, only 9 involve rape or gang rape allegations. The rest are threats of rape, forced nudity, unwanted touching, and strip searches. Still awful — but not rape.

Yet the UN acts like this is enough to justify placing Israel on the same blacklist as Hamas and ISIS

There's a lot to unpack with LC-36 since New Glenn's explosion last night, so here's a thread on everything I saw from the air this morning:

📸 - @LaunchHeavenX

https://twitter.com/asherbphotos/status/2060360281662857565

Starting off with the Transporter Erector, it looks to have been completely totaled in the blast, with pieces strewn all across the launch site. Really looks more like scrap metal than anything it used to resemble.

One of the biggest casualties from this was the loss of the second lighting tower. It looks to have completely collapsed more downward into itself, but you can see the very tip of the tower laying to the east, so it fell eastward after collapsing.

🔴 I NEED YOUR ATTENTION

I've spent a month helping Miriam with her case of metastatic cancer and I want to share the methodology I've been using because it's completely replicable.

I think (with luck) this could be USEFUL TO OTHER PEOPLE with cancer (or any other illness).

The results we've gotten aren't a miracle, but we believe they're genuinely useful and could mean the difference in a literal life-or-death medical case.

Here's the method step by step:

1/ Use the most advanced models of the moment (unfortunately paid, and not cheap. I think Public Healthcare should invest in this):

- ChatGPT 5 Pro + Extended Thinking (40 min aprox. of thinking per call)
- Claude Opus 4.8 MAX

Still pending deeper testing:

- Perplexity Sonar Pro Max
- NotebookLM

Tested but only useful for additional links/research (not as powerful in my experience)
- OpenEvidence

2/ Feed the AI the FULL clinical history, completely chewed up. This sounds dumb but it's critical.

- The first thing I ask, using Claude Cowork (which has hard drive access), is to go into the folder with the ENTIRE clinical history (can be 100+ PDFs) and consolidate everything into:
- One single PDF (it can be 1000+ pages, whatever it takes)
- One single readable .txt or .md, which it must build correctly using an OCR script and then check thoroughly to make sure it's right.

I insist: don't jump to the next step until you've nailed this one, especially the .txt.

3/ Once you have the above, use this prompt along with the .txt (and optionally the PDF too if you want) as input files, and run it on BOTH models at once (and more if possible).

👉 This prompt is insanely complex/advanced: dropbox.com/scl/fi/x64qadd… And it's not designed for Miriam's specific oncology case, you can change the initial parameters for the desired case. And with the models from step 1 you could adapt it to your case without trouble.

In any case, I'm also leaving you this other prompt, even more general, for any type of rare disease: dropbox.com/scl/fi/x64qadd…

4/ The ARROWHEAD (adversarial model spiral): facing one model against the other. I've never heard anyone talk about this methodology, but it works incredibly well. The feeling is like sharpening a stake until it gets a gleaming point.

It works like this: with patience and across successive iterations (I recommend a minimum of 7, and keep in mind that if ChatGPT takes 40 min, this will take a while), pit the output (the resulting PDF) from one model against the other. With a simple prompt like:

"Another committee of experts says this. What do you think? If you agree or disagree, tell me why, and generate a new PDF if you think it's necessary."

Then you feed that result back to the opposite model. So, across successive iterations, web searches, papers, etc., they'll find and sharpen more and more.

When to stop? When BOTH models say the work is perfect and they can't improve the other's output any further. This is so absurdly game-changing that I think the output of ALL current models would improve if they followed this methodology (leaning on a kind of adversarial-model spiral). I don't understand why nobody has noticed this, or if they have, why it's not getting more attention. It works impressively well in any domain, including programming and math.

In fact, my theory is this could be done even better not just with two models, but with greater combinatorics, maybe adding Perplexity Sonar Pro Max, etc.

RESULTS

Incredible. Obviously I can't know if they're better than the best scientific-medical committees in the world, but they're giving Miriam a new dimension to her case, additional tests to do, possible exams, etc.

Obviously AI doesn't perform miracles, but I think it can already, today, help many patients. And Public Healthcare should invest a lot (but A LOT) in this.

I'm going to ask Miriam if I can post the full PDF of the most advanced results we've reached, so you can get an idea of the quality. She's already given me rough permission, but I want to make sure 100%.

FUTURE PREDICTION

Easy to make: in the near future (I hope), any person's medical history won't just be fully digitized (we're close, but not all the way, well, well, well). On top of that, it'll be "pre-chewed" so it can be consumed by an LLM in one shot.

CLARIFICATION

- We're aware this is a delicate subject and we don't let the AI make final treatment decisions. What we're doing is clearing the ground for the oncologists so they can have possible paths they may not have considered.
Thanks 🙏

- The top LLMs have context windows for that and much more (much, much more). In any case, the PDF is more of a supporting file for the .txt. Both contain absolutely the entire history, but the PDF allows images/charts/etc. The .txt is what the AI consumes.

- On automation: and yes, this can be automated. Yes, AutoGen supports it almost out of the box. LangGraph builds it really well with supervisor / evaluation loops. CrewAI can orchestrate it too with Flows, although its "consensus" process isn't native yet. That would be the next level: automating it.

PETITION AND DISCLAIMER

If there's any oncologist in the room or you are an LLM company, we'd be grateful if you could take a look / help 🙏

Remember: in any case, this is just one more tool for the doctor.

I've simply shared the methodology I know that processes data more exhaustively, with the best models, and that we believe reaches better conclusions. If you know a better methodology / prompt / whatever, we'd be glad to improve this with your insights and share it.

Then the doctor reviews, adopts, or discards the report.

And if it helps the doctor, it helps the patient. And if it doesn't, all we've lost is some time and tokens. In a case that's literally life or death, that's nothing.

Just plain common sense.

Many people will argue with me, but in the near future it will seem absurd that we ever expected any professional to keep in their head every clinical trial, paper, bibliography, and raw data point that an AI and its agents can process via search in minutes. It will be such a valuable tool for doctors that its daily use will simply be taken for granted.

Miriam has given me permission to share the result. Remember that this was generated from the prompt I shared earlier and all the processed history/background.

👉 Here it is:

If there’s an oncologist in the room, we’d be very grateful if they could take a look 🙏dropbox.com/scl/fi/43tqm7h…

More details about Miriam's case and how to help her, if you'd like, here: helpmiriam.com/en

His internet has been slow for 6 months. So, he paid Comcast to upgrade his tier.

Speeds got worse.

He called Comcast again. They blamed his router. He bought a new one. Still slow.

He called a third time. They sent a technician out. The tech ran a speed test from inside the modem and said:"Speeds are fine on our end. Must be your devices."

A neighbor who works in IT came over the next weekend with his laptop.

He looked at the router for two minutes, opened the admin panel, and pointed at four settings on the screen.

"Comcast pushed a firmware update last year. They enabled all four of these silently. This is why your internet is slow. This is why every Comcast customer's internet got slower around the same time."

Here's exactly what he found and turned off. 🧵

The first setting: "Xfinity Wi-Fi Hotspot."

He didn't even know it existed.

Every Comcast-issued router by default broadcasts a ''second public Wi-Fi network'' called "xfinitywifi" meant for any nearby Comcast subscriber to connect to.

That sounds friendly. It isn't.

That second network uses ''your home's bandwidth.'' Your router's processing power. Your electricity bill. To provide free Wi-Fi to strangers walking by your house.

Comcast turned it on for every customer without explicit consent.

The neighbor showed him the fix:

1. Log into your Xfinity account at xfinity. com
2. Go to Services → Internet → Manage Internet → Xfinity Wi-Fi Hotspot Network
3. Toggle it OFF

It took 30 seconds. The router immediately freed up bandwidth that had been routing through it for strangers for months.

The second setting: "Automatic Channel Selection."

The router was set to "Auto" for both 2.4 GHz and 5 GHz Wi-Fi channels.

Sounds smart. In practice, it's the worst default in modern networking.

Here's why: in any apartment complex or dense neighborhood, dozens of routers all set to "Auto" end up fighting for the same handful of channels.

The neighbor pulled out a Wi-Fi analyzer app on his phone and showed him the problem: 14 other routers in range, all crammed onto channels 1, 6, and 11.

The fix:

1. Log into the router (usually 10.0.0.1 for Comcast)
2. Wireless Settings → Channel → manually set to a less-crowded channel (use a Wi-Fi analyzer to find one)
3. For 5 GHz, set to channel 36, 40, 44, or 149

He set it to channel 161 on 5 GHz. Speeds doubled instantly.

Oh My!

The electromagnetic compatibility (EMC) of these jammer mountings has got to suck.

How many "nulls" this jammer throws (AKA where no jamming energy transmits) will be substantial.

1/

https://twitter.com/TheDeadDistrict/status/2060260445424918623

I did a thread on this in 2024 when the first turtle tank jammers appeared.

2/

https://x.com/TrentTelenko/status/1780410114320547917

The basics of electromagnetic compatibility (EMC) studies of antenna mounting have been around since 1944.

3/

https://x.com/TrentTelenko/status/1780410120901378431

This is a development I have been expecting, once the AI truck hunting drones started hitting the main roads in occupied Ukraine.

Mining roads by air & rocket was late Cold War NATO doctrine after all.

1/

https://twitter.com/NOELreports/status/2060336942194065754

Deploying lots of anti-tank and anti-personnel land mines with Gator cluster munitions dispensers was one of the major themes of the 1980's Follow On Forces Attack (FOFA) doctrine.

The doctrine was highly effective, hence Ukraine using it in 2026.

2/

https://x.com/bayraktar_1love/status/2060341266458566800

The major issue with Gator is it ran a fowl the never sufficiently cursed out Ottawa Treaty banning AP land mines.

Despite the USA never having signing the treaty.

It generates international NGO lawfare accusations of "War Crimes" every time the USA uses the munition.

3/

🧵🧵 The House Judiciary Committee released a memorandum today, the second installment of an investigation into claims that the Biden-Harris administration funneled U.S. taxpayer money to non-governmental organizations that helped fund the 2023 protests against Netanyahu’s judicial-reform plan.

Biden’s government opposed Netanyahu out loud, used the exact intermediaries and the exact playbook a bipartisan Senate panel already caught in 2015, and funneled taxpayer money to the protest infrastructure and to a charitable network that bleeds into terror and then, looked away when its own inspectors warned it.

This isn’t the first time. It happened under Obama.

In 2015 it already happened, and a bipartisan Senate Permanent Subcommittee on Investigations (Portman-R, McCaskill-D) proved it.

The State Department gave the NGO OneVoice $349,000 “to support peace negotiations.” Soon after the grant period, OneVoice used the campaign infrastructure built partly with State Department funds a voter database, a social-media platform that doubled during the grant, and a network of activists recruited and trained under the grant to power V15, a campaign whose goal was to elect “anybody but Bibi.” 

Most damning: OneVoice told the State Department about its anti-Netanyahu plans during the grant period, and the State Department did nothing.

US consulting firm 270 Strategies founded by Jeremy Bird, Barack Obama’s 2012 national field director.

American political operatives, trained on a US presidential campaign, were deployed to Israel to run a turnout operation against a sitting allied prime minister, on infrastructure US taxpayers helped build.

The 2023 operation is the same playbook at ten times the scale.

The same agencies (USAID, State) funneled money to the same kind of intermediaries.

Rockefeller Philanthropy Advisors took in 50M in federal grants and, in the same window, fed PEF and the Rockefeller Brothers Fund.

PEF then routed 18M to Blue White Future the literal headquarters of the anti-Netanyahu protest coalition and bankrolled Standing Together, Darkenu, and the groups that ran Kaplan Street.

Federal records show RPA received its money shortly before the protests began.

 Money is fungible: a federal grant for “Project A” frees the recipient’s other dollars for the protests. And two recipients didn’t even need the laundering Abraham Initiatives took 2M in US funds and openly “led the effort to oppose the judicial overhaul,” and Movement for Quality Government took State Department money and helped orchestrate the protests.

China's Conservative Revolution (4⭐️) The book seeks to present the post-1927 Kuomintang as a party advancing a conservative revolutionary program: seeking to create an exclusive loyalty surrounding state and nation, relying on state control of citizens and seeking to mobilise

people's individuals habits in mass campaigns for a productive society. Seeking to clash with the communist vision, the KMT came to align with the international far-right and fascist movements increasingly in the 1930s with increasing inspiration from Nazi Germany and Italian

Fascism he argues to be much more meaningful than its common presentation as superficial interest. He observes how this was implemented in the scouting movement alongside the state's spiritual mobilisation campaign during the 2nd Sino-Japanese War.

1/ Most traders know delta.

Some know gamma. Very few understand vanna.

Yet when markets make moves that seem disconnected from price action, vanna is often part of the explanation.

2/ To understand vanna, you first need to understand one thing:

Delta is not static.

It changes constantly based on three factors:

• price movement (gamma)
• time decay (charm)
• implied volatility (vanna)

3/ Most traders focus only on price.

But market makers hedge delta, not price.

So whenever delta changes, dealers are forced to adjust positions, creating real buying and selling in the market.