Simmonds Aurelius

[Aria Westcott @AriaWestcott]

Breaking: Google permanently locks people out of their accounts with no warning and no way to reach a human.

Gmail, Photos, Drive, every login. Gone, with no appeal.

Here is the backup that protects you, in under an hour:

[Tulsi Gabbard 🌺 @TulsiGabbard]

Yesterday was my final day as Director of National Intelligence. I declassified and released never-before-seen documents exposing the truth about Fauci directing millions of US taxpayer dollars to fund dangerous gain-of-function research at the Wuhan lab, worked with the Intelligence Community to suppress the truth about his actions and hide the virus’ lab-leak origins, and lied to Congress while under oath in 2024. It’s time you know the truth. Go to https://t.co/tVwWp0TxZ4 to see for yourself.

[Robert W Malone, MD @RWMaloneMD]

On her last day as Director of National Intelligence, Tulsi Gabbard declassified the COVID cover-up.
Never-before-seen documents. Fauci's fingerprints on the intelligence itself. A lie told to Congress under oath.
Here is what just dropped. 🧵

[ericosiu @ericosiu]

AI service firms are commanding 30x multiples right now. Yes, thirty.

That's why a16z, Sequoia, and YC are chasing services, not SaaS.

Most agencies will see this and reach for the wrong move. They'll keep selling hours, bolt on AI, and cut headcount to pad the margin.

But that's playing the small game.

Here's why:

00:00 Why Services Beat SaaS
01:13 The $1 Software vs $6 Services Opportunity
02:52 Why Managed Growth Loops Matter
04:49 Agents, Loops, and Human Judgment
06:43 How Single Brain Powers AI Service Businesses
07:22 The Services-as-Software Manifesto
08:41 The New AI-Native Org Chart
10:13 Building Outcome-Based Offers
11:13 Final Thoughts

[Nathan Resnick @naterez94]

I spoke with a member of the technical staff at Anthropic yesterday who is about to make $17 million.

He's been there less than 2.5 years and is blown away by his equity value. His biggest worry now is tax strategy.

His CPA told him to "max out his 401(k) and consider a donor-advised fund."

While that's a great starting point, here's what makes even more sense:

He's acquiring a 48 unit apartment complex in Phoenix for $14.5 million.

We're running a cost segregation study to reclassify approximately 30% of the depreciable basis into 5, 7, and 15 year property.

Here's the math:
• $14.5M purchase price
• ~$12.3M depreciable basis (excluding land)
• ~$3.7M reclassified to short-life assets via cost seg
• 100% bonus depreciation under OBBBA = $3.7M accelerated to Year 1
Plus standard Year 1 depreciation on the remaining basis adds another ~$315K.

Total Year 1 deduction: approximately 4M.

His wife is qualifying as a real estate professional 750+ hours, more time than any other activity. The loss is no longer passive. It offsets ordinary income.

At a 37% federal bracket plus 13.3% California, that's a combined rate just over 50%.

$4M × 50% = 2M+ in tax savings. Year 1.

Layer in operating expenses, loan interest, and startup costs on the property, the total offset against his Anthropic income crosses $3 million.
Not deferred. Not spread over 27.5 years.

Meanwhile, the property cash flows. He's converted concentrated tech stock into a real asset producing monthly income. And he's done it all before he files the return on his equity windfall.

This is what real tax planning looks like for tech liquidity.

If you're an engineer, exec, or early employee sitting on a meaningful equity position and your CPA hasn't mentioned cost segregation, bonus depreciation, or REPS qualification, you're probably leaving seven figures on the table.

[Joe Kent @joekent16jan19]

Ambassador, your job is to represent American interests in Israel. With that in mind, please explain what we receive in return for our investment in Israel.

How have Israel’s actions in Iran, Gaza, or Lebanon, to name a few, made America safer & more prosperous?

The arms sales argument is flawed logic. We give Israel money so they can buy American weapons—why not just spend our money on weapons for our own inventories?

The intelligence we get from the Israelis can be useful, but our increasing over-reliance on it has caused our own capabilities to atrophy. We are a sovereign nation. We cannot outsource components of our national security to nations that do not share our interests— of course they will put their own interests first. No other nation prioritizes the needs of a different country before its own, because that would be foolish.

Israel can still be a decent partner, so long as we are clear-eyed about the differences between our two countries, and act accordingly. We have to put America’s needs first.

[Dan Bilzerian @DanBilzerian]

Who controls the media?

Meta owns:
Facebook
Instagram
WhatsApp
Messenger
Threads
Oculus / Meta Quest VR
Meta AI

Meta is controlled by Mark Zuckerberg who is jewish

Alphabet owns:
Google
YouTube
Android
Gmail
Chrome
Pixel phones
Nest smart home devices
Fitbit (acquired in 2021)
DeepMind
Gemini AI assistant/model family
Waymo — self-driving cars
Verily — health technology
Calico — longevity research
Wing — drone delivery

Alphabet is controlled by Larry Page and Sergey Brin who are both jewish

Tic Tok
U.S. algorithm, cybersecurity and infrastructure is controlled by Oracle

Oracle is controlled by Larry Ellison and he’s jewish

Hookup Apps

Match Group owns:
Tinder
Hinge
OkCupid
https://t.co/piiSIKCUS4
Plenty of Fish
Meetic
The League
BLK
Archer
OurTime
Was founded by Barry Diller who is jewish

Grindr
Was founded by Joel Simkhai who is jewish

Bumble
Was founded by Whitney Wolfe Herd who is jewish

Porn

Onlyfans
Owned by Leonid Radvinsky who is jewish

Vixen Media Group owns:
Blacked
Blacked Raw
Vixen
Tushy
Deeper

Founded by Greg Lansky who is jewish

Aylo/MindGeek Owns/owned:
Pornhub
YouPorn
RedTube
Brazzers
Reality Kings
Digital Playground
https://t.co/qkqIK03f0k
Sean Cody
Tube8

Solomon Friedman is the owner of Aylo and he’s jewish

Gamma Entertainment owns/operates:
Adult Time
Pure Taboo
Wicked
Girlsway
many affiliate studios/platforms

Founded by Karl Bernard who is jewish

Movies/TV/News

Warner Brothers Discovery owns:
Warner Bros. Pictures
HBO
CNN
DC Studios
Cartoon Network
Discovery Channel
TNT
TBS
Max (formerly HBO Max)
Adult Swim
HGTV
Food Network
Animal Planet

Warner Brothers is run by David Zaslav who is jewish

Disney owns:
ESPN
ABC
Marvel Studios
Lucasfilm
Pixar
20th Century Studios
Disney+
Hulu (major controlling stake)
National Geographic

Disney is run by Bob Iger who is jewish

Paramount Global owns:
Broadcast & News
CBS
CBS News
CBS Sports
Local CBS stations
Film Studios
Paramount Pictures
Paramount Animation
Paramount Players
Cable Networks
MTV
Nickelodeon
Comedy Central
BET
VH1
CMT
TV Land
Smithsonian Channel
Logo TV
Pop TV
Streaming & Premium
Paramount+
Showtime
Pluto TV
Major franchises/IP
Top Gun
Mission: Impossible
Star Trek
South Park (licensing/streaming arrangements)
SpongeBob SquarePants
Transformers
Teenage Mutant Ninja Turtles

Paramount Global is controlled by Sheri Redstone, who is jewish

Comcast owns:
* NBCUniversal
* NBC
* Universal Pictures
* Peacock
* MSNBC
* CNBC
* Telemundo
* Sky (Europe)
* DreamWorks Animation
* Xfinity

Comcast is controlled by Roberts family who is Jewish

AI/Data Centers

OpenAI/ChatGPT
Run by Sam Altman who is jewish

Palentir provides advanced data integration, surveillance, AI, and analytics infrastructure used by military, intelligence, law enforcement, and major corporations. Its platforms help organizations combine massive amounts of fragmented data into real-time operational intelligence for warfare, policing, logistics, cybersecurity, manufacturing, and decision-making, making it one of the most strategically influential data and defense technology companies in the world.

Owned and operated by Peter Thiel and Alex Karp both jewish

Oracle owns:
Oracle Database
Java
MySQL
NetSuite
Cerner
Sun Microsystems technologies
It’s important because it owns core infrastructure software that powers governments, banks, hospitals, corporations, and large parts of the internet. Its control of technologies like Oracle Database, Java, MySQL, and Cerner gives it enormous influence over the backend systems modern society depends on.

Owned by Larry Ellison who is jewish

[Brooks Whale X 🐋 @BrooksWhaleX]

🚨 The AI industry just wasted 3 years. Trillions spent. Billions burned.
All on the wrong idea.

Yann LeCun said it from day one. Nobody listened. Until now.

The theory was simple: if you make the model big enough, it will eventually understand how the world works.

Yann LeCun said that was stupid.

He argued that generative AI is fundamentally inefficient.

When an AI predicts the next word, or generates the next pixel, it wastes massive amounts of compute on surface-level details.

It memorizes patterns instead of learning the actual physics of reality.

He proposed a different path: JEPA (Joint-Embedding Predictive Architecture).

Instead of forcing the AI to paint the world pixel by pixel, JEPA forces it to predict abstract concepts. It predicts what happens next in a compressed "thought space."

But for years, JEPA had a fatal flaw.

It suffered from "representation collapse."

Because the AI was allowed to simplify reality, it would cheat. It would simplify everything so much that a dog, a car, and a human all looked identical.

It learned nothing.

To fix it, engineers had to use insanely complex hacks, frozen encoders, and massive compute overheads.

Until today.

Researchers just dropped a paper called "LeWorldModel" (LeWM).

They completely solved the collapse problem.

They replaced the complex engineering hacks with a single, elegant mathematical regularizer.

It forces the AI's internal "thoughts" into a perfect Gaussian distribution.

The AI can no longer cheat. It is forced to understand the physical structure of reality to make its predictions.

The results completely rewrite the economics of AI.

LeWM didn't need a massive, centralized supercomputer.

It has just 15 million parameters.

It trains on a single, standard GPU in a few hours.

Yet it plans 48x faster than massive foundation world models. It intrinsically understands physics. It instantly detects impossible events.

We spent billions trying to force massive server farms to memorize the internet.

Now, a tiny model running locally on a single graphics card is actually learning how the real world works.

[Dr. Eric Berg DC @dr_ericberg]

Here’s the ugly truth about avocados (that you won’t like):

I used to think they were the most amazing superfood you could possibly eat.

I even recommended them to my patients…

Until I found this out: 🧵

[Atlas @crptAtlas]

THE 3 FORMULAS TO WIN ON POLYMARKET

1. Avellaneda-Stoikov - the foundation of every quant market making desk

Reservation price:
r = s - q x γ x σ² x (T - t)

Optimal spread:
δ = γσ²(T-t) + (2/γ) x ln(1 + γ/κ)

Adapted to prediction markets via log-odds:
logit(p) = ln(p / 1-p)

2. Empirical Kelly with Monte Carlo - sizing without ruin

Naive Kelly assumes you know your edge exactly. You don't.
Run 10,000 Monte Carlo paths. Target the 95th percentile drawdown.

f_empirical = f_kelly x (1 - CV_edge)

High uncertainty = aggressive haircut to position size.

3. VPIN - detecting when informed traders are in the market

VPIN = |V_buy - V_sell| / (V_buy + V_sell)
VPIN rising: widen spreads.
VPIN spiking: withdraw quotes entirely.

There is no spread wide enough to quote into fully informed flow.

Full breakdown of all 5 formulas in the article below👇

[Joe Kent @joekent16jan19]

The White House posting a graphic from the pro-Israel think tank, the Foundation for Defense of Democracies (FDD), illustrates just how influential the pro-Israel lobby is within the Trump administration.

The U.S. IC assessed that Iran was not seeking a nuclear weapon, yet unverified information from pro-Israel groups dominated the intelligence reaching POTUS in the lead-up to the war.

The tragic part is that the successful Iran policy Trump enacted in his first term—and was enacting this time around—was working, and he was on his way to securing a much better deal than the JCPOA.

This was a threat to Israel’s goal of getting the U.S. to provide the combat power for regime change in Iran. Groups like FDD, members of the media, donors, and key Israeli officials played a key role in convincing Trump that his policy should shift to zero enrichment and that the Iranian regime would quickly crumble if he struck now.

Hopefully, POTUS will look at the results of the advice he has received from FDD and the Israel-first/neocon lobby and correct course.

[Simmonds Aurelius @GreatWolf404]

@EthanLevins2 Paper tiger.

[Hany Girgis @SanDiegoKnight]

🚨 TRUMP DROPS A BOMBSHELL:

“I used to support Indians… until I opened my eyes” — shares post exposing how Indians & Chinese allegedly control US tech hiring in California, locking out American workers!

Key claims from the viral post Trump amplified:

• “White men need not apply” in high-tech California jobs

• Internal hiring systems are “run by Indians and Chinese”

• “You have to be from India or China” — no matter your qualifications

Trump is doubling down on America First in tech jobs — right as House Republicans push the 3-year H-1B pause, $200k minimum salary, and USCIS denial rates for high-skilled visas are skyrocketing.

This is the momentum we need to protect American tech workers from displacement!
RT & quote if you stand with American jobs FIRST 👇

https://t.co/VzvKrbQ6o1

[Simmonds Aurelius @GreatWolf404]

@Ric_RTP That’s illegal.

[Tucker Carlson @TuckerCarlson]

Only someone who wrote speeches for Donald Trump in 2015, voted for him three times and lost friends defending him can fully understand how painful the current betrayal is. Uncle Buck explains.

0:00 Monologue
2:20 Why Did Buckley Support Trump So Early On?
13:14 John McCain Leading the Charge Against Big Tobacco
23:55 Obama’s Presidency and Buckley’s Speeches for Trump
41:17 Reminiscing About the Trump We Had in 2020
48:16 Trump's Hatred of WASPs and His 2016 Victory Party
1:02:44 Homosexuality in Politics, Caretaking, and Ben Shapiro
1:10:20 The Failures of Trump
1:26:01 When Support for Trump Became Dissent
1:32:37 Trump’s Failure to Stand Up for Americans
1:41:22 Trump’s Failure to Investigate Charlie Kirk’s Assassination
1:48:13 The Epstein Files, 9/11 Files, and JFK Files
1:50:52 Trump’s Betrayal of Marjorie Taylor Greene
2:00:09 Has This Been the Plan? Where Does This Go?
2:13:24 Does Buckley Feel Personally Threatened?

[Joe Kent @joekent16jan19]

POTUS is laying out two courses of action—a negotiated settlement, or a major escalation.

There is a third option, and he should take it: recognize there is no way to force a positive outcome and simply leave.

The region is not ours to fix. President Reagan chose this path in Lebanon in ‘84, withdrawing U.S. forces after the Beirut barracks bombing once it became clear the mission’s stabilization goals could not be met, effectively ending direct American military involvement and avoiding a deeper quagmire and long-term entrenchment in the region.

A negotiated settlement is unlikely to work or be taken seriously by the Iranians unless we make concessions on the enrichment issue. As we saw yesterday in the SOH, the IRGC is empowered to act without the consent of the civilian leadership, so it’s likely they won’t honor any deal reached.

A major escalation will lead to a very destructive outcome for Iran, the region, and eventually the U.S. If POTUS chooses brute force and targets civilian infrastructure, we will create another generation of radicalized Iranians who will rally around the regime and escalate the war by any means possible.

If POTUS opts to strike the civilian infrastructure, declare victory, and then leave, we will only further erode our standing in the world, the petrodollar, and eventually our status as the world’s reserve currency holder. We need to get out now.

Don’t double down on failure. Avoid the sunken cost trap, leave now, and put America’s interests first.

[Corey Ganim @coreyganim]

My predictions for AI in 2026:

1. Second brain as a service becomes hugely profitable. Companies will pay to build internal knowledge bases trained on their data.

2. Owned audiences (email, SMS, direct mail, SEO rankings) become 100x more valuable as AI spam explodes.

3. Building audience on social → converting to owned channels is the most valuable marketing skill you can learn in 2026.

4. AI content will hit 8/10 quality on basic input. Only 10/10 stands out. Taste and context are your moat.

5. Relationships become even more valuable, especially with people who have large owned audiences. Borrow their trust. 10x overnight.

6. Companies hire employees whose entire job is staying on top of AI trends to help CEOs pivot daily. Eventually these become AI agents.

7. Most powerful AI models reserved for big corporations and governments. Average users never get access.

8. Cost of AI inference scaling rapidly. My system went from $20/month to $500-1K/month in 6 months. Will 10X next year.

9. Niche communities become massive business ecosystems. 80% fail. 20% become multi-unit powerhouses.

10. Proprietary data is the single most valuable moat: customer contact data, search trends, pain points. License it. Sell it. Build competitive advantage.

11. OpenAI building accessible agent layer. When it ships, agentic era begins for everyday people.

12. Claude Code continues to be the highest-leverage skill, period.

13. AGI is closer than we think (if not already here). ASI will be 1000x more earth-shattering then even the most bullish expectations.

[Alex Vacca @itsalexvacca]

https://t.co/2THN8zmv9S

[Tech with Mak @techNmak]

In 1948, a 32-year-old at Bell Labs published a paper nobody fully understood.

Engineers found it too mathematical. Mathematicians found it too engineering-focused. One prominent mathematician reviewed it negatively.

That paper - "A Mathematical Theory of Communication", became the founding document of the digital age.

The man was Claude Shannon. Father of Information Theory.

At 21, he wrote the most important master's thesis of the 20th century.

Working at MIT on an early mechanical computer, Shannon noticed its relay switches had exactly two states - open or closed. He had just taken a philosophy course introducing Boolean algebra, which also operated on two values: true and false.

Nobody had ever connected these two things.

His 1937 thesis proved that Boolean algebra and electrical circuits are mathematically identical, and that any logical operation could be built from simple switches.

Howard Gardner called it "possibly the most important, and also the most famous, master's thesis of the century."

Every digital computer ever built traces back to this insight.

At 29, he proved that perfect encryption exists.

During WWII, Shannon worked on classified cryptography at Bell Labs. His work contributed to SIGSALY, the secure voice system used for confidential communications between Roosevelt and Churchill.

In a classified 1945 memorandum, he mathematically proved the one-time pad provides perfect secrecy, unbreakable not just computationally, but provably, permanently, against an adversary with infinite power.

When declassified in 1949, it transformed cryptography from an art into a science. It laid the foundations for DES, AES, and every modern encryption standard.

At 32, he defined what information is.

His 1948 paper introduced one equation:
H = −Σ p(x) log p(x)

Shannon entropy. The average uncertainty in a probability distribution. The minimum bits required to encode a message.

Three things followed:

> He defined the bit - the fundamental unit of all information. His colleague John Tukey coined the name.

> He proved the channel capacity theorem, every communication channel has a maximum rate of reliable transmission. You can approach it. You can never exceed it.

> He unified telegraph, telephone, and radio into a single mathematical framework for the first time.

Robert Lucky of Bell Labs called it the greatest work "in the annals of technological thought."

Where his equation lives in AI today:

Cross-entropy loss - the function training every classifier and language model, is derived directly from H. Decision tree splits use information gain, which is H applied to data. Perplexity, the standard LLM evaluation metric, is an exponentiation of cross-entropy.

Every time a neural network trains, Shannon's formula runs inside it.

He also built the first AI learning device.

In 1950, Shannon built Theseus, a mechanical mouse that navigated a maze through trial and error, learned the correct path, and repeated it perfectly. Mazin Gilbert of Bell Labs said: "Theseus inspired the whole field of AI."

That same year he published the first paper on programming a computer to play chess. He co-organized the 1956 Dartmouth Workshop, the founding event of AI as a field.

The man:
He rode a unicycle through Bell Labs hallways while juggling. He built a flame-throwing trumpet, a rocket-powered Frisbee, and Styrofoam shoes to walk on the lake behind his house.

He called his home Entropy House.

When asked what motivated him: "I was motivated by curiosity. Never by the desire for financial gain. I just wondered how things were put together."

In 1985, he appeared unexpectedly at a conference in Brighton. The crowd mobbed him for autographs. Persuaded to speak at the banquet, he talked briefly, then pulled three balls from his pockets and juggled instead.

One engineer said: "It was as if Newton had showed up at a physics conference."

He died in 2001 after a decade with Alzheimer's, the cruel irony of information slowly leaving the mind of the man who defined what information was.

Claude, the AI model, is named after Claude Shannon, the mathematician who laid the foundation for the digital world we rely on today.

[Ruben Hassid @rubenhassid]

Prompting is the worst way to use Claude.

Here's what the top 1% do instead:

They set up these 8 files once.
Then they barely prompt again.

File 1: about-me .md (Your identity)
Who you are, your job, your priorities.
Claude reads this before every task.
To download mine, go here: https://t.co/psB7XxAv8w.
Don't pay anything. It's free in the welcome email

File 2: voice-profile .md (Your taste DNA)
Your beliefs, your writing mechanics, your hard nos.
Built from a 100-question interview with Claude.

File 3: anti-ai-writing-style .md (Your boundaries)
Every word you ban, the structure you reject, tone you hate. 80% of this file is what you're NOT.
Go to https://t.co/psB7XxAv8w to download anti AI guide.
Don't pay .Open the email. Click on Notion.
Open '.md files' Download 'ANTI AI STYLE .md'.

File 4: The Cowork Folder (Your 4-folder system)
ABOUT ME. PROJECTS. TEMPLATES. CLAUDE OUTPUTS. 3 read-only, 1 write. Nothing extra.

File 5: Global Instructions (Your persistent rules)
Set once in Settings → Cowork → Edit
Claude follows them before every task.
Prompt: "Always read my files first, never edit my originals, deliver everything to CLAUDE OUTPUTS."

File 6: The One Prompt (How you start every chat)
29 words. Forces Claude to ask YOU questions.
Starts 80% of your conversations.
Prompt: "I want to [TASK] for [SUCCESS CRITERIA]. Use AskUserQuestion before you start."

File 7: Connectors (Claude inside your tools)
Slack, Google Drive, Notion, Gmail, Figma.
No copy-pasting. Claude reads your actual tools.

File 8: Plugins (Instant skill packs)
Marketing, Sales, Legal, Data. One-click install.
Each comes with its own slash commands.

The secret was always these 8 files behind it.

I wrote 2 guides so you can copy my exact system:

✦ My full 8-file setup: https://t.co/psB7XxAv8w
✦ My Cowork folder walkthrough: https://t.co/uWTpOI3oyE

(save this to never write a long prompt to Claude)