The US loves to boast about how wealthy it is, but its wealth is concentrated in the hands of a few oligarchs.
US oligarchs are so insanely rich that they make average wealth seem very high.
But *median* wealth in the US is lower than in Slovenia & Portugal, and half of Italy's
Met a guy making $1.6 million a year.
Three days ago he was at a Meta conference. Told me he saw the best AI talk of his life.
Boris Cherny was on stage. Showed how the Anthropic team actually uses Claude day to day.
Boris deleted his IDE eight months ago. Now he codes from his phone.
I watched it last night. Had to pause it twice.
Not because it was hard. Because I realized I've been using Claude like a toy.
He sent me the recording. It was never published.
Posting it below.
LUTNICK: It is outrageous that Canada will not put US spirits on the shelf. It is insulting and disrespectful to America
SHAHEEN: They won't do it because of the insults from this president and comments like yours
🚨ABSOLUTE SCENES IN PARLIAMENT!!
Far-left Independent MP Zarah Sultana says Keir Starmer is "gaslighting the nation" and a "BARE FACED LIAR".
She is ordered to leave and she REFUSES, so is *immediately* suspended from the house.
Lindsay Hoyle LOSES IT! 👀
This study on visceral fat loss blew my mind...
It found that sustained visceral fat reduction over years was linked to preserved brain volume and cognitive function in middle age.
They tracked people for up to 16 years, and those who lost more visceral fat during an initial diet + weight loss intervention had less brain atrophy and higher cognitive function even up to a decade after the intervention ended.
But it was only visceral fat, not subcutaneous fat or even body weight, making the difference. There was no association between subcutaneous fat loss or BMI improvement and brain volume or cognitive function.
Managing visceral fat levels may truly be the key to keeping a sharp and healthy brain with age.
I don't think people understand the gravity of the situation as the UN is preparing for possible nuclear weapon use in Iran.
This is a picture of Tehran. For you uneducated, untraveled, never-served, warhawks licking your chops at the thought of bombing it. It's not some low population desert. There are families, children, family pets. Regular working class people with dreams. You're sick to want war.
Tehran is a city of nearly 10,000,000 people. Imagine nuking Washington, Berlin, Paris, London, or beyond, bombed with nuclear weapons.
I gave up my diplomatic career to leak this information. I suspended my duties so as not to be part of or a witness to this crime against humanity, in an attempt to prevent a nuclear winter before it is too late.
Yesterday, nearly ten million people protested “No Kings” in the United States. The possibility of the use of nuclear weapons must be taken very seriously. It's dangerous. Act now. Spread this message worldwide. Take the streets. Protest for our humanity and future. Only the people can stop it. History will remember us.
The most brutal 40-second summary of Trump's disastrous Iran war. James O'Brien completely dismantles the incoherent, contradictory lies being fed to the public about nuclear capabilities, regime change, and the Strait of Hormuz. Absolute humiliation.
Dylan Patel, founder of SemiAnalysis, on the real bottleneck in AI scaling:
“Ultimately by 2028 or 2029, the bottleneck falls to the lowest rung on the supply chain, which is ASML. ASML makes the world’s most complicated machine: an EUV tool...
To make a gigawatt worth of data center capacity of Nvidia’s latest chip that they’re releasing towards the end of this year, you need different wafer technologies. You need about 55,000 wafers of 3nm, you need about 6,000 wafers of 5nm, and then you need about 170,000 wafers of DRAM memory.
Across these three different buckets, each requires different amounts of EUV.”
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$ASML $NVDA
@dylan522p does an excellent job breaking down complex topics in a simple way on the @dwarkesh_sp Podcast — if you’re even somewhat interested in the space, it’s worth a listen.
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YouTube: Dylan Patel on Dwarkesh Patel Podcast — The single biggest bottleneck to scaling AI compute (03/13/2026)