Billy Uttz (Utah TN)

MAGA- Aspie, Network Engineer/Accountant - Love History, Science, F1, PicIsMySon @jordanbpeterson @elonmusk @wholemars

[Billy Uttz (Utah TN) @TnUtah]

Here's the Cheat Code: How to Trade "Post-Earnings Drift" from a Quant Perspecti... https://t.co/Zr4x9cUQDi After a company releases its earnings, the stock price doesn't instantly price in the entire beat or

[Mary Talley Bowden MD @MaryBowdenMD]

I wish I knew who created this website. It is has been a tremendous help in fighting the horse-paste narrative. Whoever you are, please come forward so we can honor you!

https://t.co/dGjTcuaRAr

[The Vigilant Fox 🦊 @VigilantFox]

RFK Jr. says Fauci paid UNC scientist Ralph Baric to develop a technique called "no-see-em," which makes pathogens MORE dangerous and COVERS UP the evidence of human manipulation.

Baric went on to teach this technique to the "Bat Lady" at the Wuhan Lab.

Fauci knew this. Then spent years telling the public COVID came from a "natural origin."

RFK JR: "He was lying about the origins from day one. Why was he lying? Because he funded those studies at the Wuhan lab, and he funded the studies at the University of North Carolina that developed the techniques for weaponizing COVID-19."

"And then [he] gave those to Ralph Baric, his funded scientist at the University of North Carolina, gave those to Shi Zhengli, the scientist, the 'bat lady' scientist in the Wuhan lab. And he taught her a technique that Anthony Fauci had paid him to develop called seamless ligation, which is also called 'no-see-em.'"

"It's a way of manipulating the virus to make it deadly to human beings and then covering up the evidence of human manipulation."

"And why would anybody spend NIH money developing that kind of technology?"

"It's bioweapons technology. It has nothing to do with public health. It's the opposite. It's the inverse of anything you would want to do with public health."

"Well, he took that, and he gave it to the Chinese military lab at Wuhan."

Fauci’s former senior adviser David Morens has now plead guilty for conspiring to defraud America by destroying federal records during COVID.

He previously said: “Tony doesn’t want his fingerprints on origin stories.”

[Camus @newstart_2024]

A $4 blood test most people already get may be one of the simplest longevity markers we have.

Dr. Patrick Soon-Shiong points to Absolute Lymphocyte Count (ALC). It’s part of a standard CBC. Above 1,500 is generally solid. Below that, published data links it to higher all-cause mortality risk — roughly 20-30% higher under 1,500 and much steeper under 1,000. One in five Americans sits below the line. Sleep, sunlight, exercise, infections, and the microbiome all move the number.

Most of us stare at cholesterol and ignore the immune cells that actually patrol the body.

The cheapest signal is often the one hiding in plain sight on a routine blood draw.

[Elon Musk @elonmusk]

Grok @Bot

[Chief Nerd @TheChiefNerd]

👀 Gavin Baker on Grok 4.6 Outpacing Anthropic

“This is pretty wild … You're well ahead of Fable 5, which I think most people would agree is the gold standard … Very few investors talk about Grok at all and it is Pareto dominant on a lot of measures … Maybe people should start to consider Grok when they think about SpaceX.”

[Promethean Action @PrometheanActn]

You've been watching the Iran story wrong. It's not about tankers or negotiations.

It's about a system Kissinger built in 1976 — and someone just indicted him for it at Chatham House. @sjkokinda names the names.

[Adrian Dittmann @AdrianDittmann]

If you don’t understand relative scales, any media that depicts abstract scales will seem unreal.

[Camus @newstart_2024]

To fall asleep you first have to forget where your body is.

Andrew Huberman explained that one of the key steps into sleep is losing track of body position. An old technique that circulated years ago involved slowly moving the eyes side to side, then in circles, then toward the nose while exhaling. He tried it and often woke up the next morning without remembering the transition.

A pair of researchers at MIT later built on the same idea with a sleep mask that gently stimulates the muscles behind the ears, creating the eye movements for you. Huberman said it can drop people into sleep in under six minutes. You feel a light twitch at first, adjust it, and then the eyes simply start moving on their own. He has no financial relationship with the company.

A simple physiological lever most of us never think about.

[Owen Gregorian @OwenGregorian]

AI Companies Are Buying Antique Books, Ingesting Their Contents to Train Models, and Then Destroying Them at Incredible Scale | Frank Landymore, Futurism

Traditionally, books have been good for two things: reading, and looking nice on a shelf.

But AI companies are interested in neither.

To those building large language models, books are nothing more than fodder to be devoured en masse before being spit out like fishbone. Often, they’re happy to use digital books — or even better, pirated digital books, as Meta has been accused of doing, and as Anthropic was forced to pay a $1.5 billion settlement to authors for also doing.

But many companies, including Anthropic, have turned to ingesting physical books instead, which they can buy countless used copies of on the cheap. According to the settled lawsuit, Anthropic used a hydraulic powered cutting machine to neatly remove the pages from the books it procured from book resellers and then scanned them using industrial-grade imaging equipment. In other words, it was literally ripping off authors’ books to train its AI.

This process took advantage of a legal concept known as first-sale doctrine, which allows a buyer to do what they want with a purchase without the original copyright holder’s say-so. And since Anthropic was turning the original physical texts into digital ones — rather than redistributing them as new copies — a judge found this to be “transformative,” and therefore protected by fair use.

Now, as 404 Media reports, this practice has become prevalent enough that even well-established book sellers are looking to cash in on the AI boom. One called ISBNdb, which boasts the “world’s largest book database,” extolls that the “world’s best AI training data is setting on a shelf,” upholding these physical texts as uncorrupted by shoddy AI writing that’s already polluted so much of the internet (and indeed, newer books).

“Print books from the pre-LLM era are structurally guaranteed to be free of this contamination. That alone is a significant advantage,” it explains in an article on its website, as quoted by 404. “Physical books published before this date [pre-2022] are structurally clean of modern poisoning tools.”

Once focused on helping libraries, distributors, and book shops find and sell books, ISBNdb now helps AI companies bulk-buy anywhere between 1,000 to one million books per order, according to 404.

As an added bonus, it also promises AI companies that it’ll keep their purchases under wraps — nobody wants to end up in the spotlight like Anthropic and Meta, obviously — while clearly sounding aware about how incredibly shady the practice sounds.

“The optics problem is real,” ISBNdb’s site says. “‘AI company destroys two million books’ is not a headline that generates sympathy.”

One small book seller said that in April, he suddenly went from selling no more than 20 books a week to hundreds, and he’s almost certain that the customers are AI labs, noting the random selection of the books and how they all have ISBNs. He added that his inventory is full with rare and out of print books, meaning that an AI company could be destroying some of the few remaining copies that can be found.

“I personally have mixed feelings about all of this,” the bookseller told 404. “It benefits me financially as well as by clearing out old inventory that is otherwise unlikely to sell. I’ve been well-suited for these sales with inventory from overseas and foreign language books. On the other hand, I don’t like the end-use, and I don’t like that uncommon books are being pulped.”

More antique books may be endangered. 404 noted how rare booksellers in the Netherlands are being inundated with bulk purchases they believe are being made by AI companies, though they can’t know for sure.

Similar suspicions are being felt all throughout the industry. Services like ISBNdb facilitate these bulk orders, keeping the AI buyers anonymous as promised. There may be strong hints thats a bulk order is for an AI lab, but booksellers can, for the most part, merely speculate.

https://t.co/GFxk9D4HZF

[Dr. Jack Kruse Decentralized Medicine Maxi 🔆 @DrJackKruse]

Savages.......they knew as I told ya.

[Whole Mars Catalog @wholemars]

❤️ $TSLA

[Whole Mars Catalog @wholemars]

Tesla Self-Driving 14.3.6 in heavy fog. Pretty impressive.

[Whole Mars Catalog @wholemars]

"We exited Q2 with our largest order backlog since 2023"

— Tesla CFO $TSLA

[Whole Mars Catalog @wholemars]

"We expect to announce a location for Terafab soon"

— @elonmusk $TSLA

[Whole Mars Catalog @wholemars]

"We'll continue to scale very rapidly with Robotaxi — more than 10% growth in miles driven per week"

— @elonmusk $TSLA

[Whole Mars Catalog @wholemars]

Tesla is now generating $791 million in ARR from self-driving subscriptions, in addition to the majority of customers who paid upfront

[Billy Uttz (Utah TN) @TnUtah]

@elonmusk @wholemars

Why Overpromising Helps Raise Capital
• Vision sells: Investors, especially in speculative areas like autonomy, robotics, AI, and energy, pour money into potential 10x–100x outcomes, not steady 8% growth. Bold timelines signal confidence and market leadership. Underpromising can make the company seem unambitious or risk-averse, reducing excitement and valuation multiples.
• Talent and ecosystem: Top engineers and partners chase “impossible” missions. Public stretch goals create urgency and FOMO (fear of missing out).
• Momentum and funding access: Hype supports stock price, easier equity raises, debt, or partnerships. Tesla has raised billions partly because of the Robotaxi/Optimus narrative, even with delays. SpaceX similarly used ambitious Mars timelines.
• Real-world precedent: Many transformative companies (Tesla, Amazon early days, biotech moonshots) succeeded with optimistic guidance. The market prices in some slippage if execution trends improve over time.

[Joe Rogan Podcast News @joeroganhq]

Jordan Peterson: "Most people who have post traumatic stress disorder, don’t have it because they were hurt. They have it because they encountered someone who wanted to hurt them."