Lennard retweeted
Aleksandr M Ugolev dedicated his LIFE to researching digestion
He is known as the “Grandfather of Digestion”
His experiments say you should eat Raw Meat, not Cooked.
Here’s why:
He put 2 frogs in gastric juice.
One was RAW.
One was COOKED.
At first, the cooked frog started breaking down faster.
But after 2–3 days…
The RAW frog was completely gone.
Fully digested.
The cooked frog was STILL THERE.
Why?
Because raw meat contains active enzymes that help digest the meat from the inside.
Your stomach acid activates them.
So raw meat is attacked from BOTH sides:
- Your stomach digests it from the outside
- The meat digests itself from the inside
But cooking destroys these enzymes.
Then your body has to do all the work alone.
Ugolev called this “induced autolysis.”
In simple words:
RAW MEAT DIGESTS ITSELF.
COOKED MEAT DOESN’T.
They tell you cooking makes meat easier to digest.
Ugolev’s experiment showed the opposite.
🔥 Heat destroys the food ❌
🥩 Raw meat works WITH your body ✅
Nature already designed the perfect digestion system.
Stop destroying it with fire.
Page 19-21 of the book “Theory of Adequate Nutrition” by A M Ugolev. It’s in Russian but you can translate it.
Contains all his experiments & studies.
kntu-tk.narod.ru/doc/ugolev.…
Anthropic posted one of the greatest last 12 months in the history of business! BUT they can 1000x again, here’s how:
Corporate AI spending and AI use (ex. frontiers) can 1000x again, but a lot of people working in finance, law, consulting have a hard time understanding this.
Here’s why: these individuals are amongst the hardest working and brightest in the workforce. They are completely detached from the average worker.
The average worker: doesn’t want to go to work, if he goes to work he’s super unproductive and dodges responsibility as often as possible, calls in sick whenever he feels like it and isn’t even good at his job to begin with.
Further Gen Z doesn’t really want to work and Boomers are too incompetent to use the internet or technology, leading to greater inefficiency.
If you don’t believe me AI can 1000x again easily, just take a look at what’s happening right now.
Microsoft is laying of, or wants to lay of a huge number of its employees.
Microsoft’s employees are arguably amongst the brightest and hardest working employees in the workforce.
Yet it is more lukrative form Microsoft to let them go and spend the money on GPUs!
We will see the 1000x in a rollout of enterprise AI, replacing most adult day care jobs one after another.
Often this is to hard to grasp for high performance people, because they are too biased looking at things from their own lense and the only people they know are other hardworking friends and colleagues.
I encourage you, go look beyond your immediate circle and try talking to some average workers or companies. You quickly realize there is so much inefficiency around its staggering.
Than what is really holding back adoption is people not knowing how to use it properly, yet these same people own and manage most of the businesses.
Finally in the western demographics we have a huge gap in workforce, because of birth rates, showing in more old people leaving the workforce than young people joining the job market. If we want to keep the level of products and services available to the market, the only effective solution so far has been automation.
That’s the tweet, to and do your own investigation. It’s truly mind boggling
Corporate AI spending and AI use (ex. frontiers) can 1000x again, but a lot of people working in finance, law, consulting have a hard time understanding this.
Here’s why: these individuals are amongst the hardest working and brightest in the workforce. They are completely detached from the average worker.
The average worker: doesn’t want to go to work, if he goes to work he’s super unproductive and dodges responsibility as often as possible, calls in sick whenever he feels like it and isn’t even good at his job to begin with.
Further Gen Z doesn’t really want to work and Boomers are too incompetent to use the internet or technology, leading to greater inefficiency.
If you don’t believe me AI can 1000x again easily, just take a look at what’s happening right now.
Microsoft is laying of, or wants to lay of a huge number of its employees.
Microsoft’s employees are arguably amongst the brightest and hardest working employees in the workforce.
Yet it is more lukrative form Microsoft to let them go and spend the money on GPUs!
We will see the 1000x in a rollout of enterprise AI, replacing most adult day care jobs one after another.
Often this is to hard to grasp for high performance people, because they are too biased looking at things from their own lense and the only people they know are other hardworking friends and colleagues.
I encourage you, go look beyond your immediate circle and try talking to some average workers or companies. You quickly realize there is so much inefficiency around its staggering.
Than what is really holding back adoption is people not knowing how to use it properly, yet these same people own and manage most of the businesses.
Finally in the western demographics we have a huge gap in workforce, because of birth rates, showing in more old people leaving the workforce than young people joining the job market. If we want to keep the level of products and services available to the market, the only effective solution so far has been automation.
That’s the tweet, to and do your own investigation. It’s truly mind boggling
rebalanced the colo exposure to 50/50 in usd exposure terms.
> $WULF up on good S1 by ANT
> all of wulf end tenants is basically ANT
> $CIFR cheap here based on cap rate/NOI multiple; BUT texas elections will be important
If they won’t hinder datacenters dramatically in texas cifrs pipeline will hold huge value not priced in the stock at all
@jiahanjimliu why do you even own tesla stock, please tell me the payback on tesla stock at its current valuations. operating profit is fine for sake of simplicity
Lennard retweeted
GM, ich bin BitBeller und ich mache jeden Tag ein Video, bis Bitcoin auf 1.000.000 Dollar geht.
Heute ist Tag 217 und du bist nicht bullish genug. LFG!
lmao 🤣 but true i guess
Feels like the public interpretation is all wrong…
I’m pretty sure $MSFT backing out on NScale deal is bullish for Neoclouds like $NBIS or even $IREN with energized capacity with Microsoft?
Pretend Microsoft just ate a bunch of Chipotle burittos:
- They order toilet paper delivery scheduled Q1 2027
- NScale says: sorry 3-4+ year delay of the toilet paper (into 2030’s) because of UK grid constraints
- Microsoft still urgently needs toilet paper so they will get it elsewhere
The cancellation does send warnings about what happens if a Neocloud can’t execute on contracted demand.
But that just makes the other toilet paper sellers more valuable since Microsoft will go elsewhere for supply.
$IREN a message for the board.
also own some $CLSK but hedged and will sell if there is no use of the exclusivity by meta soon! maybe end of Nov
Lennard retweeted
What's the difference between a #neocloud and what $WULF does?
CEO @PaulBPrager breaks it down in his recent interview with @SullyCNBC on @CNBC. Watch the full replay below.
I already own 50% of the target position.
Family and I haven been net buyer under $15.
Right now Wulf trades around the value of the existing contracts with an 8% cap rate and 9% cap rate for Ant without an IG backstop yet and longest to RFS date.
Looking to buy the other 50% at a 20-30% discount to contracted or when macro improved/ clears up. I have no issues for paying up a little for the remaining 50%, when the worst is behind us.
Short term I don’t know what the market will do, fundamentally its rather cheap right now. And i expect that SP materially improves until EOY 2027. So short term iam reluctant to add more, but in a 12-18 months basis this looks like a top buy to me.
Our Colocation “Basket” only holds $CIFR and $WULF now as I see them as the highest quality names in the sector.
What I like about $CIFR is the tenant covers cost inflation in the other two projects.
Cipher operates the majority of the Sites in Texas so Tera Wulf adds some geographical diversification in the basket.
Chiper seems to stay in the highest IG class with HS and build from scratch.
Wulf cuts the middle man in went for ANT at a higher rent and also develops brownfield at a superior PUE.
What I dislike about both stocks is the dilution overhang from convertible notes.
What I like about both stocks is the management, I think the Wulf management has been super transparent with their reasoning and way of thinking about shareholder returns, especially the CFO.
Ciphers management to me seems more to stress the assets and quality of those, since that’s what stands out about ciphers, best tenants, triple net, cost overrun protection and a potential huge pipeline.
I own both in a fairly simple 50/50 mix.















