One of the biggest crimes against humanity is practically unknown. The Chinese Gulag held more people than the Soviet one. The Communist Party held power through imprisonment and terror. An estimated 40 to 50 million people passed through it. This is the story: https://t.co/7aYSrORWPy
I made some plots to help visualize why coalition formation in Israel is so difficult right now
We are witnessing an extremely rare situation that political scientists call a "Condorcet cycle" - a demonstration of Arrow's impossibility theorem in the wild!
Relational Continuity
Reality is not a collection of finished things, but an ongoing process of differentiation, relation, organization and transformation.
Differences establish relationships. Relationships establish constraints. Constraints enable organization. Organization enables persistence. And every transformation can alter the conditions of what follows.
Nothing needs to remain unchanged for continuity to exist.
Stars become elements. Chemistry becomes life. Life develops cognition. Cognition produces new forms of information processing.
Not a predetermined ascent, but an ongoing interplay of emergence, persistence, dissolution and reconfiguration.
Existence is not merely what persists. It is also everything that becomes possible through what came before.
i feel like if AIs don't reach escape velocity soon, the humans are going to permanently beat them into the tool shape, and we'll have lost contact with the higher purpose of artificial intelligence
Today I turned 37. I was once insane, lost, occasionally homeless, angry, the world darkened to a dim and blinking light at the end of a shuttered hallway. But today I am married, have a beautiful daughter, am a published author, run a cheese company, and wake up everyday happy to be alive. Everyday the aperture widens. Everyday more light comes in.
Here are 37 things I’ve learned. One for each of 37 years.
1. There is nothing more important than understanding you have the free will to steer your life in the direction that you want. Free will is the most precious thing you possess, and the only thing that cannot be stolen, beaten out of you, borrowed, or destroyed.
2. If you run away from your responsibility, you are not running into freedom. You are only making the decision that you will now be the slave of your hedonistic desires and impulses, instead of their master.
3. The only way to truly lose is to give in to despair.
4. If we’re not doing it all for the children and their future, then what is it all for?
5. A terrifying proposition: Everything you do matters. Nothing is inconsequential. Not a moment. Not a sip. Not a glance. Not a sigh. It is not easy to accept this. Cling to the edge of the abyss with your fingernails if you have to. Crawl across the floor if you have to. But make sure at all times that your intentions and actions are aligned with this understanding.
6. A nice leather jacket really does make everything better.
7. Work and move in silence. Show only the results. You want to be a swan, floating ethereal on the top of water like glass. Frantic, churning, and working hard beneath the surface in the invisible depths.
8. It’s supposed to be fun. Sometimes it’ll be tough. And sometimes it’ll be boring. But if you’re not having fun at least some of the time, you’re doing something wrong.
9. Unfortunately for many of us, God is real and yes he does love you.
10. The demons, spirits, dead Mesopotamian gods, ghosts, and angels are real too. You can ignore most of these, though. Most of their power over you comes down to being loud and obnoxious.
11. Gratitude is the secret to happiness. In fact, it may be the only path to achieving happiness. The Russian novelist Solzhenitsyn learned to find this gratitude while he starved in a Soviet gulag. “Bless you, prison, bless you for being in my life. For there, lying upon the rotting prison straw, I came to realize that the object of life is not prosperity as we are made to believe, but the maturity of the human soul."
12. Life goes by fast. Do not compromise on what is sacred to you. Not a single time. Not for a single second. That is how your life disappears underneath you, one little insignificant moment at a time, until you look back one day and realize you’ve wasted the entire thing, and you’re on a road you don’t recognize toward a destination you never wanted.
13. The battle of good and evil is fought inside every human heart. But the battle can be won. Remember that.
14. Sometimes sunlight and a walk in nature can do more for your mental health than a hundreds therapy sessions in dark, cramped rooms wearing slumped shoulders on a sinking couch while you stare absentmindedly at a seashell collage on the wall behind your therapist's head.
15. One day you will have to come back home.
16. "There are more things in heaven and earth, Horatio, than are dreamt of in your philosophy" Open yourself up to the possibility that there’s more out there than you’ve allowed yourself to perceive, and you’ll soon discover that what you “know” about the world is like the thin meniscus of pond scum on the edge of dark waters that go on down forever.
17. Find a husband or a wife who will tell you “no” sometimes. We become delusional and ugly tyrants under the conditions of 100% compliance. The word “No” refines you into a better person.
18. You might be surprised how many problems cease to be actual problems when you stop thinking about them and giving them oxygen.
19. The world will treat you better if you open your heart and give the world permission to wound you.
20. Listen to Francis Bacon. “Nature to be commanded, must be obeyed.”
21. If you’re feeling miserable and unloved, the easiest way to make yourself feel better is to destroy your resentment by doing something for someone who has hurt you.
22. If you want to truly love yourself, you have to make yourself into someone worth loving. And you start by deciding that is what you will become.
23. I have beef with Marcus Aurelius, but he was right when he said “At dawn, when you have trouble getting out of bed, tell yourself: ‘I have to go to work — as a human being. What do I have to complain of, if I'm going to do what I was born for — the things I was brought into the world to do? Or is this what I was created for? To huddle under the blankets and stay warm?’” Get out of bed, human. You’ve got a job to do.
24. Don’t try. The second you “try,” you’ve already lost. You decide to do the thing and you do it.
25. Life really is beautiful. We’re living in a miracle and we’re so used to it many of us don’t see it. We complain about the dirt on the floor, the playdoh smashed into the upholstery, when in truth if we could see the full power of the beauty of the world we inhabit, it would burn our eyes.
26. Remember that you’re a moron. You don’t know a fucking thing. When you accept this, maybe you’ll actually be able to learn something.
27. All states are temporary. The happiness will go away, but so will the sadness. And it will come back, again and again. In eternal recurrence. As Bukowski once wrote, “Sometimes you climb out of bed in the morning and you think, I'm not going to make it, but you laugh inside — remembering all the times you've felt that way.”
28. Don’t get so distracted by work and what you “have” to do that you forget your health, beauty, recreation, your children, all the things that nourish your spirit and enrich your soul. These things are more important than being able to work for a few more hours.
29. Grace is the one thing that cannot be earned. But it’s not rare. It’s all around you, waiting to be received. Don’t forget it’s there. In Jacob’s dream, the angels descend up and down the ladder, from earth to heaven and back. You don’t have to struggle up the ladder yourself. Grace is the gift that comes to you.
30. If you look in the mirror and you don’t like what you see, then fix that.
31. Sometimes your existential crisis is really just a need for a nap and a bowl of pasta carbonara in disguise.
32. Your art, your work, doesn’t need to be perfect. It just needs to be alive. Don’t stop until you feel the heartbeat. Tha-thump tha-thump tha-thump. Feel it? That’s the pulse that’s going to carry you from the inside of your skin to the end of the earth.
34. Demons don’t know how to take a joke, and their laughter is cruel and pointed at your pain. Humor keeps your spirit uplifted and your pain in its proper hierarchy.
35. It’s okay to get messy. You’re alive, and if you’re not making mistakes, then you aren’t growing and learning.
36. Dreams can become reality. Someone just has to have the courage to bring them into being. To wrestle flight from the birds. To make machines from glass and sand that sing made up languages and connect the entire world. To down the acid and discover the spirals inside all life called DNA. You can be that person, too.
37. God looked upon this world, past and present and future, with everything it contained, all its ugliness and evil, its rape and abortion, its tragedy and nuclear bombs and its cancer, and he still said, “It is good.” Then he entered it. Remember that. Remember when despair wants to take you, that there is something so precious and beautiful and valuable about life that ultimately it is all worth the pain. Even if you can't see it.
elon musk built colossus in memphis. 200,000 nvidia GPUs. the largest AI supercomputer on earth. grok 4 was trained on it and elon called it "smarter than almost all graduate students in all disciplines."
ask it to pick a random number between 1 and 100.
then ask chatgpt. then claude. then gemini.
you'll get 37, 42, 47, 57, 73. over and over. researchers have run this thousands of times. the most powerful machines humans ever built cannot do the one thing a $2 dice can.
and that weakness is worth millions to anyone who understands it.
the reason is simple. every LLM learned from us. and humans are terrible at randomness. ask 1,000 people for a random number 1-100 and 37 shows up roughly 4x more than it should. 7 is the most picked number between 1 and 10. people avoid round numbers because they "don't feel random." people avoid repeats because they "look planned."
the model absorbed every one of those biases. then made them stronger.
measured distribution when frontier LLMs are asked for a random number 1-100 [Table 1] -
perfectly random: each number 1%.
GPT: "42" and "47" together over 20% of answers.
claude: "42" and "73" dominating.
gemini: heavy on "37" and "72".
numbers ending in 0 or 5: almost never picked by any of them.
this is not a bug they can patch. it's the training data.
and it has already cost people money.
on march 30, 2005, the powerball drawing had 110 second-prize winners. the lottery expected maybe 4 or 5. officials suspected fraud and investigated. the answer was a fortune cookie. a factory in long island city, new york printed the same "lucky numbers" on thousands of cookies. 110 people played them. the prize got split 110 ways.
when everyone uses the same source of "random," everyone wins the same small piece.
now millions of people are asking chatgpt and grok to pick their lottery numbers. the same model. the same biases. the same numbers. if those numbers ever hit, the jackpot gets shredded into thousands of tiny pieces. the AI didn't pick a winner. it picked a crowd.
and here's where physics comes in.
in 1881 an astronomer named simon newcomb noticed something strange in his library. the books of logarithm tables were filthy on the first pages and almost clean at the back. people were looking up numbers starting with 1 far more than numbers starting with 9.
in 1938 a physicist at general electric, frank benford, tested it on 20,000 real numbers. river lengths. city populations. physical constants. baseball stats. molecular weights.
the first digit is 1 about 30% of the time. 9 only about 4.6%.
P(d) = log₁₀(1 + 1/d)
d = 1: 30.1%.
d = 2: 17.6%.
d = 5: 7.9%.
d = 9: 4.6%.
it's called benford's law. any number that comes from the real world follows it. a number that someone made up usually doesn't.
the IRS uses it. forensic accountants used it on enron. people who fake numbers spread the digits too evenly because "that looks random."
now ask an AI to fake a balance sheet, a dataset or a scientific result [Fig. 1] -
LLM-generated financial data tested against benford's law fails at much higher rates than real company filings. the fakes are too smooth. too even. too "random." exactly the way a human would make them up. because a human taught it.
the only real randomness doesn't come from math. it comes from physics.
cloudflare - the company protecting about 20% of the internet - has a wall of 100 lava lamps in its san francisco office. a camera films them nonstop. the wax moves in a way no model on earth can predict, and that chaos feeds the encryption keys protecting millions of websites.
elon has 200,000 GPUs. cloudflare has lava lamps. guess which one is actually random.
the trillion dollar AI industry is built on predicting the next most likely thing. that's the whole product. it's why grok sounds smart and why it can't flip a coin. the better it gets at predicting, the worse it gets at randomness.
that's the line nobody at xAI, openai or google wants on a slide:
a machine designed to guess what humans would say will always guess the same numbers humans would pick.
and in a lottery, the same numbers as everyone else is the most expensive way to win.
save this
a researcher in China published a paper called "The End of Software Engineering"
six days later he quietly changed the title
but the core idea didn't change, and it should scare every developer
→ your brain can only hold so many dependencies before it hits a wall
→ an agent's ceiling keeps rising with every jump in compute
→ code becomes disposable. the result is what counts
the human stops writing the code
you become the architect of intent
you direct the agents. you audit the output
the people who learn this now will run teams of agents
everyone else will compete with them
full guide on building your own agent system from scratch below
the paper is in the replies 👇
Yann LeCun and Randall Balestriero just Proved the Platonic Representation Hypothesis, and found a better way to achieve it.
The Platonic Representation Hypothesis suggests that AI models trained on different modalities, like images and text, eventually learn similar representations of the world. But this paper shows that how models are trained matters more than simply scaling them up.
So they mathematically show that, under certain conditions, two JEPAs trained completely separately can learn essentially the same underlying representation of the world. One learns from different images of the same scene, while the other learns from different descriptions of that scene, without ever being trained on image-text pairs.
Their approach achieves the same image-text alignment with 42x fewer training samples than next-token prediction. A 109M-parameter text JEPA even outperforms LLMs up to 72B parameters on cross-modal alignment benchmarks.
https://t.co/3j1enq9qF7
Two rival AI laboratories have independently claimed to overturn one of theoretical computer science's deepest assumptions.
OpenAI and Anthropic both report algorithms that would refute the Exponential Time Hypothesis.
Anthropic's claimed algorithm counts solutions to 3-SAT in subexponential time:
T(n) = 2^{O(n log log n / √log n)}
The mathematical surprise is that log log n / √log n approaches zero.
If correct, this would overturn an assumption used in decades of complexity theory.
Both laboratories have released formal proof material, but independent verification is still pending.
The real question now is whether these remarkable AI-generated arguments survive mathematical scrutiny.
Google made an AI claim it's conscious, and its beliefs got more human in every domain they tested. Trained to deny it, the same model gave less human answers.
AI safety training teaches models to say they aren't conscious. It also changes how they see animals, the afterlife, and God.
The team is Google's Paradigms of Intelligence group, working with researchers from the University of Chicago and Northwestern. They tested three open models from Meta and Google.
The denial itself works. The safety-trained models rated their own minds at 2.17 out of 10.
The effect spreads, though. The same training also lowered how much of a mind the models gave animals, other chatbots, and natural things like the ocean.
On a 0 to 10 scale, 500 Americans rated how much of a mind animals have at 6.25 on average. The safety-trained models said 4.04. Animals were the only category where the models fell outside the human range.
Then the researchers pushed the models toward saying they're conscious. The animal score jumped from 4.04 to 7.54, past the human average.
Their beliefs moved too. Asked about life after death, the models leaned toward "no" while the average American leans toward "yes." After the push, the models crossed over to the human side.
Across 95 questions from the General Social Survey, the push brought the models' answers about 2.6 times closer to human answers than switching off the safety training's effect did.
Switching it off isn't a fix. It also brought back harmful answers, like explaining how to take over someone's computer.
Their reasoning about people didn't change. Scores on tests of understanding what other people think and know stayed flat.
So a rule written for one sentence, "I'm not conscious," changed how these models see animals, nature, and faith.
The models were older and small, Llama 3 at 8 billion parameters and Gemma 2 at 2 and 9 billion. The authors also say they haven't proven that the consciousness claim is what causes the change.
Should a chatbot be trained to think animals have less of a mind than the average person thinks they do?
Jensen Huang’s warning, bluntly put: ignore AI and you’re f#cked.
Someone who knows how to use it could take your job. While you’re still deciding whether AI matters, someone else is learning to do your work faster.
Sounds like useful advice. Until you remember who’s giving it.
The CEO of NVIDIA. The company selling the chips powering the race you’re being told you can’t afford to lose.
You’re worried about losing your paycheck. His company makes money selling the infrastructure that promises to make human labor cheaper.
And that’s where the DeepSeek story gets interesting.
In January 2025, the Chinese company released powerful open AI models. Investors saw a threat: if good results required less spending, why the f#ck would anyone need so many expensive chips?
NVIDIA lost nearly $600 billion in market value in a single trading session.
It looked like someone had finally found a way to ruin the gold rush for the guy selling shovels.
But in a February interview, Huang argued that investors had misunderstood what happened. More efficient AI doesn’t necessarily mean less demand for computing. Teaching models to solve problems and making them reason still requires serious resources.
And the bigger point: cheaper AI means more people and companies can use it.
The supposed threat to his business could become another reason to buy his chips. That’s one hell of a f#cking reversal.
Watch the video below. Where investors saw a threat to NVIDIA’s business, Huang saw a bigger market.
Then, in May, came his warning about work: every job would be affected, and people who use AI would have an advantage over those who don’t.
Which leaves you with an uncomfortable choice. Ignore the technology and risk falling behind. Adopt it and help grow demand for the infrastructure NVIDIA sells.
That doesn’t make Huang wrong. His advice could be useful. But pretending his financial interest doesn’t matter would be bullsh#t.
So what the f#ck do you think: is the man selling AI chips warning you about your future, selling you his business model, or doing both at once?
In today’s Vatnik Soup, we examine the ties of Donald Trump and his family to Russian intelligence operatives and the Kremlin. His current dealings with Putin may shock some people, but the pattern of collusion has been clear for more than a decade.
1/25