Elon Musk reveals SpaceX is building a 30,000-robot academy where humanoids learn from each other.
Cars were easy. Tesla had ten million on the road, beaming back driving data every second.
But humanoid robots?
There weren't ten million Optimi yet. There weren't ten.
Robotics had run data-starved for decades. Tesla decided to fix it.
You couldn't train a humanoid that had never been deployed.
So Musk built a school for them instead.
"We can have at least 10,000 Optimus robots, maybe 20-30,000, that are doing self-play and testing different tasks."
Tesla called it the Optimus Academy.
Picture a warehouse the size of a chip fab.
Thirty thousand humanoid robots inside.
Picking things up. Folding clothes. Walking. Tripping. Catching themselves.
Failing in ways no human roboticist had thought to script.
Each watching the others, learning what the human body shouldn't have made look easy.
Every move generated a data point. Every failure generated a sample.
Every robot taught every other robot.
In simulation, Tesla could spin up a million robots overnight.
But simulated physics lied about friction, slip, and drift.
Real physics didn't.
Cars learned from drivers. Optimi learned from each other.
Each generation made the next one cheaper, faster, smarter.
By the tenth generation, no human would recognize the curriculum.
Recursive learning at electromechanical scale.
Musk, on closing the loop:
"You use the tens of thousands of robots in the real world to close the simulation to reality gap."
Whoever opened the academy first owned the species.
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— Elon Musk ( @elonmusk ), CEO of Tesla and SpaceX, on Dwarkesh Patel's ( @dwarkesh_sp ) podcast
When a mother boar senses danger, she issues a sharp, specific vocalization. The piglets react instantly by dropping flat and staying perfectly still
Watch this
📹Drakis
🧐🤔YOU WANTED A WALL, TRUMP? YOU’LL HAVE ONE.
Mexico’s president, Claudia Sheinbaum, responded to Trump’s threats:
“So you voted to build a wall.
Well then, dear Americans — even if geography isn’t your strong suit, and you see America as a country rather than a continent — you should know that on the other side of that wall stand 7 billion people.
And if the word ‘people’ doesn’t resonate with you, let’s call them ‘consumers.’
Those 7 billion consumers can switch from iPhone to Samsung or Huawei in less than two days.
They can trade Levi’s for Zara or Massimo Dutti, and within six months replace Ford and Chevrolet with Toyota, KIA, Mazda, Honda, Hyundai, Volvo, Subaru, Renault, or BMW — brands that are already more popular in many places.
They can cancel DirecTV.
And even if they choose not to, they can stop watching Hollywood films and turn instead to higher-quality productions from Latin America or Europe — with richer storytelling and better filmmaking.
Believe it or not, people can skip Disney and visit the Xcaret resort in Cancún instead — or explore destinations across Mexico, Canada, or South America.
Even in Mexico, you can find better burgers than McDonald’s — with higher nutritional value.
Have you ever seen pyramids in the United States?
Egypt, Mexico, Peru, Guatemala, and Sudan have ancient wonders — none of them in the U.S.
If they were, Trump would probably have bought and resold them by now.
We know Nike isn’t the only sneaker brand. There’s Adidas — and even Mexican brands like Panama.
We understand economics better than you think.
And we also know that when those 7 billion consumers stop buying American products, unemployment will rise, and your economy — trapped behind its own self-imposed wall — will begin to collapse to the point where you’ll be begging for help.
We didn’t want to do this.
But you wanted a wall?
Well.
You’ve got one.”
Her approval rating has reached a historic level — according to a recent poll, it stands at 85%.
A toothpaste company has quietly killed the entire market research industry and nobody is talking about it.
Colgate published a paper showing you can predict real purchase intent at 90% accuracy by simply asking LLMs to roleplay customers.
And this is beyond insane.
If you ask an AI, "Rate this product from 1 to 5," it gives safe, middle-of-the-road garbage.
So researchers invented a method called Semantic Similarity Rating (SSR).
Instead of asking the AI for a number, they asked it to roleplay.
They gave the LLM a demographic profile. They showed it a product concept. And they asked it to write down its raw, unfiltered thoughts.
Then, they used a semantic model to translate those written thoughts into a numerical score.
The results are staggering.
Tested against 57 real corporate surveys and 9,300 actual human responses, the synthetic AI consumers matched real human buying behavior with 90% reliability.
They perfectly mirrored how different age brackets and income levels react to price changes.
And they provided detailed, qualitative feedback that was deeper and more critical than what actual humans wrote.
This destroys the economics of traditional market research.
You don't need to wait a month to see if a product will sell.
You can simulate 1,000 hyper-targeted customer interviews overnight.
You can A/B test pricing across every demographic instantly.
Hier, le CEO d'Anthropic (Claude) a publié un essai sur l'avenir de l'IA. Il demande l'aide du gouvernement américain. Dedans, tout le monde retient le fait qu'il demande plus de régulation.
Mais le passage le plus fou, c'est ça : il prévient que l'IA trouvera des remèdes médicaux qui arriveront plus vite que les États ne peuvent les approuver..... !
Voici ce que je retiens de son essai :
1. Le timing n'est pas anodin.
Il sort 24h après le lancement de Claude Fable 5, leur modèle le plus puissant. Traduction : "voilà ce qu'on sait construire, et voilà ce qui arrive ensuite."
2. Sa prédiction centrale.
Si les lois d'échelle tiennent encore 1 à 2 ans, on obtient ce qu'il appelle "un pays de génies dans un datacenter". C'est un horizon court, assumé publiquement.
3. Le passage sur la médecine.
Aujourd'hui, un médicament met 7 à 8 ans à passer la FDA ou l'EMA. Amodei prédit des traitements pour des maladies jamais soignées, et des résultats tellement bons que les agences refuseront d'y croire.
Sa demande, c'est de réformer les agences maintenant, avant qu'elles ne deviennent le goulot d'étranglement. Lisez bien. Le problème ne serait plus de trouver des remèdes. Ce serait de les approuver assez vite. Sacré optimisme, mais connaissant bien l'IA, ce n'est pas impossible.
4. L'économie.
Il prédit des entreprises milliardaires créées par une seule personne. Et affirme qu'on voit déjà des équipes de quelques personnes générer des centaines de millions de revenus.
5. La partie qui fâche.
Il appelle à une coalition de démocraties autour de l'IA : partager les puces entre alliés, les refuser aux adversaires, coordonner les régulations.
Je recommande la lecture. Pendant que le débat français se demande encore si l'IA est une bulle, le PDG du labo le plus prudent du secteur prévient déjà de l'accélération.
I'm a cardiologist. I've held dying hearts in my hands in the cath lab at 3 AM. And I need to tell you something that changes everything about how we prevent heart attacks.
For decades, the entire field was built on one target: lower LDL cholesterol. Statins save lives — that's settled science. But too many of my patients did everything right — took their statins, hit their numbers, lived clean — and still ended up on my table with a ruptured artery.
We were treating the smoke while the fire kept burning.
The fire is inflammation. And the evidence is now overwhelming.
The CANTOS trial proved it first — lowering inflammation independent of cholesterol reduced cardiac events. But the newer data is what keeps me up at night.
AI-enhanced CT angiography can now detect inflamed arteries by measuring changes in the fat surrounding your coronary vessels — the perivascular fat attenuation index. Higher inflammation in the fat around even one artery independently predicts cardiac death. When multiple arteries show inflammation, the risk multiplies dramatically — even in patients whose cholesterol looks perfect.
This isn't theoretical. This is measurable. Right now. On a scan you can get this month.
Low-dose colchicine — a drug that's been around for centuries for gout — is now FDA-approved specifically for reducing cardiovascular events. It works by quieting the inflammatory cascade that destabilizes the plaque sitting in your arteries. A pill that costs pennies is saving lives the statins couldn't reach.
And the next wave is already in Phase 3 trials. Ziltivekimab — an IL-6 inhibitor — targets the central inflammatory pathway driving atherosclerosis. Phase 2 data showed a 90% reduction in hsCRP. The ZEUS cardiovascular outcomes trial is enrolling now, with results expected late 2026 into 2027. If positive, anti-inflammatory therapy will become standard in managing heart disease alongside lipid-lowering. The era of inflammation-targeted cardiology is arriving.
But it goes deeper than drugs. AI is now predicting heart failure and cardiac events 5+ years before symptoms — integrating CT imaging, electronic health records, and genetic data with accuracy that jumps far beyond traditional risk calculators.
And polygenic risk scores — a simple genetic test that flags inherited cardiovascular risk — are now formally recognized as a risk-enhancing factor in the 2026 ACC/AHA guidelines. A single blood draw can reveal risk that's been silently building since birth. Decades before the first chest pain.
Here's what this means for you right now — today:
Ask your doctor for a high-sensitivity CRP test. It's cheap, routine, and measures the systemic inflammation that standard cholesterol panels completely miss. You can have perfect LDL and inflamed arteries that are quietly preparing to rupture.
If your hsCRP is elevated, discuss low-dose colchicine with your physician. It's FDA-approved for exactly this.
Push for a coronary CT angiography with AI plaque and inflammation analysis if you have risk factors. This isn't the stress test your parents got. This is 3D visualization of your actual arteries — with AI quantifying not just how much plaque you have, but what kind it is and whether the surrounding tissue is inflamed.
Consider polygenic risk score testing — especially with a family history of early heart disease. It's now guideline-supported.
And the foundation that never changes: move daily, eat real food, sleep 7-9 hours, manage stress, and know your numbers — ApoB, Lp(a), hsCRP, fasting insulin.
I left Iran as a child with nothing. I rebuilt everything in a country that gave me the freedom to become a physician. I've spent twenty years watching patients get second chances.
The ones who haunt me aren't the ones who died on my table. They're the ones who survived but never acted on what the science was telling them — years before the event that didn't have to happen.
You can have perfect cholesterol and still have a heart attack. Inflammation plus genetics can drive plaque rupture in arteries that look "fine" on a standard panel.
The myth that normal cholesterol means you're safe has cost more lives than I can count.
We now have the tools to detect the fire — not just the smoke. AI to see it. Genetics to predict it. Drugs to quiet it. And the ancient basics — movement, real food, sleep, purpose — to prevent it from starting.
Prevention is the new cure. And the science to make it real is no longer coming.
It's here.
Un laboratorio chino acaba de humillar a media industria del video.
Subes una foto y un audio, sale un avatar hablando en sincro. Open source.
Lo que antes era agencia, cámara y edición ahora parece un repo.
Se llama LongCat-Avatar.
🔴 INFO - #Chine : Des robots humanoïdes accomplissent des tâches quotidiennes réelles (porter des cartons, nettoyer, servir) dans une usine de #Shenzhen. La formation de ces robots par apprentissage par renforcement (IA) est déjà en cours. 🇨🇳🤖📦�
This is it.
Everything learned spending millions on longevity.
From: Your Immortal Unc and Auntie.
To: Our Immortal nieces and nephews.
0. Sleep is the world's most powerful drug.
1. Be in your bed for 8 hours
2. Same bedtime every night, any time before midnight
3. Don’t eat right before bed
4. Calm foods for dinner
5. No screens 1 hour before bed
6. Avoid added sugar (be aware it’s in everything)
7. Avoid all things in an American convenience store
8. Avoid fried foods
9. Shoes off at the door
10. Eat whole foods, particularly veggies fruits nuts legumes berries
11. Walk a little after meals or air squats
12. Get your heart rate high routinely
13. Lift heavy things
14. Stretch daily
15. Water pik, floss, brush, tongue scrape, morning and night
16. Make an effort to drink water
17. Get sunlight when you wake up (UV is low)
18. Protect skin in midday sun
19. Stand up straight
20. See at least one friend once a week
21. Avoid plastic where you can (in all things)
22. Circulate air in rooms
23. When stressed, breathe, learn to calm your body
24. Go to the dentist
25. Avoid sitting for long times
26. Protect your hearing, the world is too loud
27. Alcohol is bad for you
28. Finish coffee before noon
29. Avoid bright lights after sunset
30. If obese, look into a GLP
31. Sleep in a cold room
32. Texting while driving is dangerous
33. Turn off all notifications
34. Limit social media use
35. Don’t smoke anything
36. If you struggle to sleep, read a physical book before bed
37. 1 hour before bed have a calm wind down routine: bath, read, light walk, listen to music
38. The body is a clock and loves routine. Have a daily morning and evening schedule.
39. Avoid long distance travel where you can
40. Baby steps first: incorporate new things slowly
41. Do less… most things don’t work.
Bonus points if you get your blood checked.
Start here, it will change your life.
I promise this will be the best 20 min you spend today! Robotics: Endgame, the sequel to my last year's Sequoia AI Ascent talk, "Physical Turing Test". I laid out the roadmap for solving Physical AGI as a simple parallel to the LLM success story. Be a good scientist, copy homework ;)
And stay till the end, more easter eggs and predictions for your polymarket!
00:30 DGX-1 origin story at OpenAI, I was there in 2016 signing with Jensen and Elon. Heading to the Computer History Museum!
01:42 The Great Parallel
03:31 Robotics, the Endgame
03:39 Why VLAs fall short
04:32 Video world models as the 2nd pretraining paradigm
06:09 World Action Models (WAM)
07:46 Strategies for robot data collection and the FSD equivalent to physical data flywheel for robot manipulation
11:06 EgoScale and the Dexterity Scaling Law we discovered recently
14:00 Physical RL: bridging the last mile
15:39 DreamDojo: an end-to-end neural physics engine for scaling RL in silico
17:00 Civilizational Technology Tree and my predictions for the near future. Spoiler: it's closer than you think.
Thanks to my friends at Sequoia for inviting me back to AI Ascent this year! I had a blast! Last year's talk is attached in the thread if you missed it.
50 years at MIT. One final hour.
A professor spent half a century teaching. Knowing the end was near, he distilled everything into a single lecture.
His last gift to the world.
He passed away 5 months later.
This is his final hour.
Watch it this week. Seriously.
O Google acabou de transformar mais de 1 bilhão de computadores em depósito de IA.
Inclusive o seu.
Sem pedir. Sem avisar. Sem um único popup.
O Chrome baixou 4GB de modelo de inteligência artificial no seu disco. O arquivo se chama weights.bin, são os pesos do Gemini Nano. Fica numa pasta chamada OptGuideOnDeviceModel dentro do seu perfil do Chrome.
Você não autorizou nada. Até existe uma configuração para impedir, mas tá enterrada em submenus que ninguém encontra. E as AI features vêm ligadas por padrão.
Se você deletar o arquivo, o Chrome baixa de novo. Sozinho. Em silêncio. Você decide o que fica no seu disco e o navegador simplesmente ignora.
Funciona assim em Windows, macOS e Ubuntu. Logs forenses no macOS mostram que o arquivo foi instalado dia 24 de abril de 2026, misturado com patches de segurança. Desenvolvedores dizem que isso já rola há mais de um ano.
E tem um detalhe que deixa tudo mais ridículo:
O Chrome 147 coloca um botão "AI Mode" na barra de endereço. Você vê aquilo, sabe que tem modelo de IA no seu computador, e assume que suas buscas rodam localmente.
Não rodam. O AI Mode é 100% cloud. Tudo vai para os servidores do Google. O modelo de 4GB no seu disco não tem nada a ver com aquele botão.
Ele serve para quê? "Help me write" e detecção de scam. Coisas que vivem em submenus de clique-direito que você provavelmente nunca abriu.
O Google ocupou 4GB do seu disco sem pedir, para rodar coisas que quase ninguém usa, enquanto a IA que você de fato vê manda tudo para a nuvem.
Na Europa, pesquisadores já apontam violação do Artigo 5(3) da Diretiva ePrivacy, que exige consentimento antes de armazenar software no dispositivo do usuário.
Como desativar:
→ chrome://flags
→ Busque "Optimization Guide On Device Model"
→ Desative
→ Reinicie o Chrome
→ Delete a pasta OptGuideOnDeviceModel
Seu computador só é seu se você ficar de olho.
Artık robotlarla 12 metrelik bir tekneyi tek parça hâlinde 3D yazdırıyorlar; kalıp yok, ek maliyet yok… Bir zamanlar tersane gerektiren şey, artık dev bir yazıcıyla yapılabiliyor. 🚢
This is the first time we're seeing the latest generation Boston Dynamics Atlas in motion.
- Features 56 DoF, with 360° rotation in key joints
- 6.2 ft tall, weighs 198 lb (90 kg)
- Operating temperature: -20° to 40°C
- IP67 dust and water protection
- Only two unique actuators to minimize cost and complexity
- A Limb can be swapped in less than 5 min.
Winston Churchill fought his depression with bricks. He'd lay them for hours at his country home in Kent. He joined the bricklayers' union. And in 1921 he wrote about why it worked. It took psychology another 75 years to catch up.
He called his depression the "Black Dog." It followed him for decades. His method for fighting it back was as basic as it sounds: laying brick after brick, hour after hour.
Churchill spelled out his theory in a long essay for The Strand Magazine. People who think for a living, he wrote, can't fix a tired brain just by resting it. They have to use a different part of themselves. The part that moves the eyes and the hands. Woodworking, chemistry, bookbinding, bricklaying, painting. Anything that drags the body into a problem the mind can't solve by itself.
Modern psychology now calls this behavioral activation. It's one of the most-studied depression treatments out there. Depression sets a behavior trap. You feel bad, so you stop doing things, and doing less means less to feel good about. Feeling worse makes you do even less. The loop tightens until you can't breathe inside it.
Behavioral activation breaks the loop from the action side. You schedule the activity first, even when every part of you doesn't want to. Doing it produces small rewards: a wall gets straighter, a painting fills in, a messy room gets clean. Those small rewards slowly rewire the brain. Action comes first, and the feeling follows.
Researchers at the University of Washington put this to the test in 2006. They studied 241 adults with major depression and compared three treatments: behavioral activation, regular talk therapy, and antidepressants. For the people who were most severely depressed, behavioral activation matched the drugs. It beat the talk therapy. A 2014 review of more than 1,500 patients across 26 trials backed up the result.
Physical work like bricklaying does something extra on top of this. It crowds out rumination, the looping bad thoughts that grind people down during the worst stretches of depression. Bricklaying needs both hands and gives feedback brick by brick: each one is straight or crooked. After an hour you can see exactly how much wall you built. No room left for the mental chewing.
The line George Mack used in his post, "depression hates a moving target," is good poetry. The science behind it is sharper. Depression hates a brain that has somewhere else to be.
Just amazing.
Boston Dynamics released a video of the new production version electric Atlas spinning its body while balancing on its arms.
Note, that little jutter of the hand to keep balance.
A humanoid robot just unloaded a dishwasher for 67 hours straight.
By end of 2026, the same robot will perform surgery.
That's not a prediction from a sci-fi writer.
That's Brett Adcock. CEO of Figure AI. Said it on camera this month.
Here's what makes this insane.
Two years ago Figure's robot put a Keurig cup in a coffee maker.
That was the breakthrough moment.
The whole team celebrated.
A coffee cup.
Today that same robot runs 67 consecutive hours in a BMW factory. Grabbing packages. Finding barcodes. Placing them. One operation every second.
Just a neural network that learned by watching.
And Brett just said the hands that do that
the same fingers, the same sensors, the same neural net are already capable of surgical precision from a hardware standpoint.
"From a hardware perspective in 2026 we'll be able to do what surgeons can do."
The AI just has to catch up to the hands.
Two years ago: a coffee cup.
This year: a factory.
Next: the operating table.
The robot didn't change, the learning did and it's not stopping.