America's cultural ideal has been the self-made entrepreneur while Europe's was rooted in aristocracy, with status inherited rather than earned. Europe's inheritance laws show this divide.
Many European countries have "forced heirship" laws that require people to leave 50-75% of their estates to their children. Want to leave the majority of your wealth to charity? not allowed. Your kids are estranged from you, struggling with addiction, or irresponsible? still required to give them the money. Want your kids to avoid a life of entitlement? tough.
Incredibly, these laws look back at transfers made during your lifetime. If you have 3 children in France, you're required to bequeath them a minimum of 75% of your estate. Because French law calculates this based on your assets at death plus all lifetime gifts, giving away more than 25% of your wealth while alive means your heirs can legally sue to force charities or foundations to return the funds. This has limited the development of the nonprofit sector on the continent.
The cultural gap between an entrepreneurial society and one shaped by dynastic wealth is enormous. If you make it yourself, you tend to want your kids to do the same. If you inherit it, the primary goal is protecting the estate for the next gen.
Countries like Spain, France, and Italy legally entrench family dynasties, while America has historically sought to limit them through estate taxes. The result is not only a weaker culture of philanthropy and civil society in Europe, but also less economic dynamism.
Iryna Zarutska was 23
Henry Nowak was 18
Iryna was murdered in the US
Henry in the UK
Iryna fled the Ukraine war, only to be murdered on an American subway
Iryna's murderer had a violent history, but liberal judges refused to imprison him
Henry's murderer cried "racism"
Police handcuffed Henry and laughed as he bled to death, and the murderer's mother helped hide the knife
Despite mass public outcry, legacy media never reported on either
It is hard to avoid the conclusion that there is a war on whites
SpaceX completed its 50th Starlink launch of 2026 today. With this mission, SpaceX has deployed 1,375 Starlink satellites so far this year, and another Starlink launch is scheduled for later tonight.
(photo below is real)
Every country on planet Earth is built on conquest. Every “indigenous” tribe claimed its land by conquest. Every line on the map, across every continent and every ethnic group, was drawn by conquest. Apologizing for this is like apologizing for gravity.
My thoughts are with the officers working to keep order and the detainees caught in these dire conditions. Violence solves nothing, we need humane solutions and calm heads to prevail.
🚨 BREAKING: MAJOR BRAWLS ONGOING OUT HERE AT ICE NEWARK WITH NJ STATE POLICE
FLASHBANGS AND TEARGAS ARE EVERYWHERE
RIOTERS ATTEMPTING TO USE FENCES TO DEFEND THEMSELVES BUT ARE FAILING
@nicksortor@C_ovfefe26 My thoughts are with the officers working to keep order and the detainees caught in these dire conditions. Violence solves nothing, we need humane solutions and calm heads to prevail.
On the remarkable return on capital potential for Starlink on Starship.
Including customer acquisition cost, ground station capex, and an expendable top stage, we think SpaceX should be able to launch its 10th commercial starship rocket for ~$500m.
The bandwidth it launches could yield $1.2 billion in revenue annually for as long as the satellites are in orbit. 13x cash on cash return.
For a time (100 launches or so) cash requirements per kg (and per tbps) of launch should roughly keep pace with the revenue decay in monetizing incremental orbital comms throughput. Basically, their per launch cost decline, driven by rocket upsizing, satellite manufacturing efficiency and full re-useability, should out-compete declining ARPU (or at least keep pace).
Net, very crudely, it works to the company being able to deploy $50b in capital building satellites, launching rockets and acquiring customers at a ~13x cash on cash return over a few years.
This is a business without precedent.
UPDATE (AS OF MAY 29, 2026):
0 stories from AP on Henry Nowak
0 stories from PBS on Henry Nowak
0 stories from NYT on Henry Nowak
0 stories from NPR on Henry Nowak
0 stories from WSJ on Henry Nowak
0 stories from CNN on Henry Nowak
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@Nigel_Farage You literally admitted on national television that you tried to put Rupert Lowe in prison because of political differences.
He wanted to deport Pakistani child rapists and their accomplice wives.
So you then rang the police.
Nobody is forgetting that.
“I’ll kill your whole f–king family. Your whole f–king family is dead. Your children, your wife, all dead."
A left-wing activist in Newark was caught on camera shouting those words at an unmasked ICE officer as protests outside the Delaney ICE facility turned chaotic.
Acting AG Todd Blanche is now firing back, promising that the "disgusting" activist will be caught and charged, emphasizing that threatening a federal officer and their family is a federal crime.
“That is disgusting … and we see his face and I promise you we will find him, and when we find him, we will arrest him."
Tip on Grok Build + Grok 4.3 VLM
One of my critical tasks is to keep Grok VLM in the loop. Throwing a default system prompt usually yields poor results due to lack of context.
Here is how to scale:
- Curate a small but diverse evaluation set that can be rapidly iterated on.
- Enter the prompt: “Make a plan to design and execute a task that a) takes input per entry from: <input>, b) generates output per entry to: <output>, c) the ground truth of output: <ground truth>. Launch sub-agents to iterate on strategy to optimize recall and precision against ground truth until both metrics reach <threshold>.”
Done. Watch your research agents do the work.
grok-build-0.1 is now available via the xAI API in public beta.
This is the same model that powers the Grok Build CLI and excels at agentic coding.
Priced at $1/m input and $2/m output, it’s extremely cost effective, intelligent, and fast.
Having Grok Build sub-agents to iterate several ideas for me on data loading, batching, inference, and writing results to files for dense datasets before I went to sleep.
It gave me a nice summary of trade-offs and validation in the morning.
The same idea can be extended to almost anything as long as gradient descent and stochastic sampling apply.
Looking forward to how you utilize the sub-agents.