Nisarg Bhatt

Alors là 😭 sélection naturelle à ce stade

Indian factory workers wearing head-mounted cameras to record hand movements for training AI systems

@RealPresidentT @eric7trafford 🤣

I’ve sent JD Vance to Pakistan to negotiate with the Iranians. I’d go myself; but I don’t want to go to Pakistan.

This is very believable to me. 12-13 years ago I built a laser interferometry system that collected PB of data (2GB/s) and I built a rocks HPC cluster and trained neural nets to predict multiphase flow rates inside oil and gas pipelines from 2-3 miles away. This was before transformers so it was very hard, but managed to get it working with a tonne of reference data that we collected at NEL. Bought some German SWIR laser interferometers, and stuffed the beams through long fiber optic loops to get huge Fabry-Perot distances, and we had insane picometer/second accuracy on surface velocity or space-time vibration (depending on your reference frame), we had 3.2 million samples/second so could get out to 1.6MHz on our FFT. We creating insanely high fidelity multispectral spectrograms (frequency, time, power), and this was the training data we used to train our very crude AI to predict physical reality. We could detect a.n.y.t.h.i.n.g. it was Star Trek sensor tech.

Genuinely terrifying when you map this onto the Indian context. Mythos is Anthropic's unreleased frontier model, so dangerously good at finding security holes in software that Anthropic itself is refusing to release it publicly out of fear of what hackers could do with it. Now picture the average sarkari portal: PSU sites frozen in their mid-2000s table-layout glory, IRCTC-tier glitches visible to anyone with basic dev tools, state government domains where the SSL certificates expired during Manmohan's second term. Six months from now some nerdy black hat teenager in Sialkot or Dhaka with an open-source Mythos-class model can sit back and let it chew through the entire attack surface of Indian e-governance and banking infra over a weekend. Meanwhile our defensive setup is some contractual IT vendor in Okhla who got the tender because his cousin knew someone in the ministry.

> Google publishes ARC-AGI-3 benchmark on March 25 > no hype, no product launch, just a grid and a timer > 48 hours later: > GPT-5: 0.26%, Claude: 0.25%, Grok: 0% > a 4-layer CNN built in weeks: 12.58% > Jensen Huang 2 days before: "I think we've achieved AGI" > random unemployed people from SF streets: 100% > one dev replicates the winning approach over a weekend > analysts say the benchmark is unfair > $700K prize still untouched > DRAM stocks drop, AI bubble discourse returns the number is 0.26%. Remember it next time someone says AGI is already here.

I’ve seen Habsburg family trees that are less incestuous

One of the greatest pieces of media ever created

Your romantic partner is the single highest-dose pharmacological input in your daily environment. Bryan Johnson frames this as poetry. The data is more violent than that. The Harvard Study of Adult Development tracked people for over 80 years. Relationship quality at age 50 predicted physical health at age 80 better than cholesterol, income, or career success. The mechanism is a specific neuroendocrine cascade. A supportive partner triggers oxytocin release, which suppresses cortisol, downregulates HPA axis activation, reduces systemic inflammation, and slows telomere attrition. Your cells literally divide longer before hitting senescence. The person sleeping next to you is either extending or compressing your biological clock at the chromosomal level, every single night. Now run the numbers on the poison side. Married adults in one sample had a telomere T/S ratio of 1.70. Unmarried adults: 1.58. That gap held after controlling for diet, exercise, smoking, obesity, and social support. Divorced men in a Swedish cohort showed 46% higher relative mortality risk. A separate study of 3,526 adults found marital disruption was associated with shorter telomere length even after adjusting for neuroticism and lifetime traumatic events. The inflammatory profile of a high-conflict marriage looks nearly identical to the biomarker signature of chronic work stress or long-term caregiving burden. This is the part people miss. Bryan said “somewhere between medicine and poison.” The pharmacology is more binary than that. Oxytocin from a quality partnership lowers blood pressure, reduces sympathetic nervous system activation, and improves immune surveillance. Chronic cortisol from a bad one drives the same oxidative damage to telomere cap structures that accelerates every major age-related disease. There is no neutral. The dose is always running. A 2003 study found that more frequent partner hugs correlated directly with lower resting blood pressure and heart rate. The cardiovascular system responds to your primary attachment bond the way a tissue responds to a drug. Dose, frequency, duration. “Medicine and poison” is the right frame. But Bryan undersold the dosage. This is the single largest uncontrolled variable in every longevity protocol on Earth, and almost nobody is tracking it.

Its not Simcity, but business school students who were good at Civ V also turn out to be better planners, organizers, and problem-solvers in this small experiment.

India pays a premium for the privilege of not learning anything :) Every Indian car Tata, Mahindra, Maruti, all of them has a tiny computer inside called an ECU (Engine Control Unit) This computer decides everything - how much fuel to inject, when to shift gears, how brakes work, how the battery behaves in an EV. Think of it as the car's brain. India makes zero of these brains for passenger cars. All of them come from foreign companies, mainly Bosch (Germany). If you don't control the brain, you don't really control the car. Indian OEMs can't even add a simple valve to their own engine without asking Bosch for permission. They can't change a single line of code. They are selling cars with someone else engineering inside. This isn't really about technology being too hard. It's a business model designed to keep you dependent. Three layers lock you in :) First, every new car programme needs Bosch to do setup work (Rs 10-30 crore). Second, you pay full price for software Bosch already developed for Volkswagen so Bosch gets paid twice for the same work. Third and this is the killer every time you want to change anything in the software, even something tiny, it costs around $500,000. So Indian OEMs simply stop trying to innovate. They accept whatever Bosch gives them. The calibration trap means tuning the car's brain for Indian conditions, how should the engine behave in Ladakh cold vs Chennai heat? Indian OEMs outsource even this to AVL in Austria. AVL reuses work they already did for European cars, charges India full price, and transfers zero knowledge. So Indian engineers never even learn how their own cars work from the inside. What Korea did is Hyundai faced the exact same situation in 1987. They set up Kefico as a joint venture with Bosch, learned everything from the inside, and by 2015 they owned the full technology themselves. The sequence was simple - first learn calibration (tuning) → then write your own software → then build your own hardware. It's a ladder. India never climbed the first rung. Why India didn't do this - It's not a talent problem Indian engineers design ECUs at Bosch offices worldwide. It's a combination of things like Indian OEMs won't fund Indian startups to develop alternatives. They demand that Indian suppliers first prove themselves in Europe before getting a chance at home (while European companies protect their own). Middle managers won't risk their careers backing a Pune startup when they can safely pick Bosch. India spends 0.64% of GDP on R&D vs Korea's 4.9%. Private sector funds only 36% of India's R&D, in Korea it's 79%. SEDEMAC - the one exception - One Indian company (IIT Bombay founders, Pune-based) actually makes ECUs for two-wheelers and generators. They have real IP, real patents, millions of units shipped. But even they couldn't break into passenger cars. Tata Motors is literally in the same city and doesn't use them. EVs are simpler to control than petrol/diesel engines. This should have been India's fresh start. Instead, Mahindra's new EV platform has Bosch (Germany), Valeo (France), BYD (China), Mobileye (Israel), Continental (Germany) - zero Indian ECUs. The dependency just migrated from ICE to EV with different foreign names. swarajyamag.com/technology/the…

I worked at Epic Games for two years. This is real, and the strategy behind it is smarter than most people realize. Tim Sweeney has spent nearly two decades buying North Carolina forest land. 50,000+ acres across 15 counties. He’s now one of the largest private landowners in the state. The purchases started in 2008, right after the real estate collapse wiped out developers who had been planning golf resorts and luxury communities on biodiverse wilderness. Sweeney paid $15 million for Box Creek Wilderness, a 7,000-acre stretch in the Blue Ridge foothills containing 130+ rare and threatened species. Developers had owned 5,000 of those acres before the crash. He bought them for conservation prices when nobody else was bidding. He runs the acquisitions through an LLC called “130 of Chatham.” He buys the land, holds it for years, then either donates it to the U.S. Fish and Wildlife Service, sells it at a discount to state parks, or hands it to land trusts. In 2021, he donated 7,500 acres in the Roan Highlands to the Southern Appalachian Highlands Conservancy. Largest private land donation in North Carolina history. The part people miss: he told the News & Observer that since 2021, land got too expensive to keep buying. So he shifted focus to converting his existing 50,000 acres into permanent conservation status. He’s locking the land into legal structures that make development impossible regardless of who owns it in the future. A billionaire worth roughly $6 billion is spending tens of millions acquiring wilderness specifically during economic downturns, then giving it away or placing it under permanent legal protection. The land will outlast him, Epic Games, and Fortnite. That’s the part that separates Sweeney from billionaires who write checks to get their name on a building. The building depreciates. The forest compounds.

Private equity firms bought 500 hospitals. Death rates in their emergency rooms went up 13%. They fired 12% of the staff. Then they paid themselves billions in dividends. A Harvard study just confirmed what doctors already knew: people are dying so investors can hit quarterly targets. Exactly what happens. A PE firm buys a hospital using debt. The debt gets placed on the hospital's balance sheet, not the firm's. Now the hospital owes hundreds of millions it never borrowed. To service that debt, the hospital cuts costs. Costs mean nurses. The numbers from the Harvard/University of Chicago study are horrifying. After PE acquisition, emergency department salary spending dropped 18.2%. ICU salary spending dropped 15.9%. Hospital-wide employees were cut 11.6%. Emergency department deaths rose 13%, seven additional deaths per 10,000 visits. A separate study found patients undergoing surgery at PE-acquired hospitals had 17% higher odds of dying within 90 days. Steward Health Care, owned by Cerberus Capital, filed bankruptcy with $9 billion in debt after closing hospitals across Massachusetts. The CEO lived on a $40 million yacht while emergency rooms went dark. Eight hospitals serving 2 million people nearly disappeared because a PE fund extracted more cash than the system could survive. The private equity industry has poured over $1 trillion into healthcare. They operate a quarter of ERs nationwide. This isn't going away. The investing angle nobody talks about. Non-PE hospital operators like HCA Healthcare (HCA) and Tenet (THC) are the direct beneficiaries. Every time a PE hospital closes or deteriorates, patients flow to the nearest competitor. HCA has returned 1,200% since 2011. Patient volume from PE closures is a structural tailwind nobody's pricing in. Medical staffing firms (AMN Healthcare, Cross Country) charge premium rates specifically because PE hospitals cut staff. The staffing shortage IS the business model for these companies. The disruption play: outpatient surgical centers (SCA Health, now part of UnitedHealth) are pulling profitable procedures out of hospitals entirely. PE-owned hospitals lose their highest-margin surgeries to outpatient, and the death spiral accelerates. Pull up tradevision and monitor healthcare M&A alerts, hospital closure filings, and patient volume migration data. When a PE-owned hospital announces "restructuring," the patient volume shift to competitors like HCA starts within 30 days. That 30-day window is when the competitor's earnings revisions haven't updated yet. Free to try. (a private equity firm bought your local hospital. borrowed $500 million in the hospital's name. fired 12% of the nurses. emergency room deaths rose 13%. then they paid themselves dividends. nobody went to prison. they're currently buying another hospital.)

50% of all relationship advice on Reddit is “leave.” 15 years of data, 52 million comments, and the trend line only goes one direction. A researcher filtered r/relationship_advice down to 1,166,592 quality comments and tracked what people actually recommend. In 2010, “End Relationship” sat around 30%. By 2025, it’s approaching 50%. “Communicate” dropped from 22% to 14%. “Compromise” collapsed from 7% to 3%. “Give Space” fell from 25% to 13%. Every category that requires patience lost ground every single year. The one category growing faster than “leave” is “Seek Therapy,” which went from 1% to 6%. The subreddit is slowly learning to say “this is above my pay grade.” Train a model on this dataset and it would absolutely tell people to break up. The training data is 50% “leave” and climbing. The model wouldn’t be broken. It would be accurately reflecting what 52 million commenters actually believe about your relationship. A 50% prior that you should leave, a 14% prior that you should talk about it, and a 6% prior that you need a professional. That’s not LLM psychosis. That’s the median human opinion on your relationship, backed by the largest advice dataset ever assembled.

Worst case scenario we can just make a new strait. Shouldn't take long once we unleash the productivity boosting powers of AI. Maybe a day or two at most.

MrBeast competition to see who can make it through the Strait of Hormuz

> be me > Lead Architect in a startup > startup buys refurbished high-density enterprise racks from a defunct HFT firm > these things are built for microsecond trades, absolute overkill for our CRUD app > install them in a room with "okay" shielding > it’s 2026, local telcos are stress-testing new 5G-Advanced mmWave nodes nearby > start seeing the weirdest logs in Prometheus > incoming traffic spikes to 10Gbps every day at exactly 2:00 PM > check the load balancer- zero hits. check the firewall-nothing. > physically go to the server room > it’s 180°C near the exhaust, cooling fans are screaming at 15k RPM > I pull the SFP+ fiber cables out of the NICs to isolate the rack > the traffic counter doesn't stop > it’s still processing packets. 10Gbps. with no cables connected. > mfw I realize what’s happening > the "refurbished" NICs have a defect in the shielding on the PCB > the server rack, lacking a true Earth ground, is acting as a massive passive antenna > the high-frequency radio waves are inducing a current directly into the copper traces > the NIC is interpreting the literal air interference as valid Ethernet frames > the CPU is trapped in a hardware interrupt storm trying to frame random RF interference as Ethernet packets > mfw the server isn't broken, it’s just listening to the city’s radio waves and thinks it’s a DDoS attack > Now I have to explain to the CEO we need to wrap the server room in literal tinfoil because the internet is leaking into our hardware The Technical Reality: This is a classic EMI (Electromagnetic Interference) injection. In dense urban environments like Lagos, high-frequency small cell nodes (mmWave) operate at frequencies that can couple with unshielded traces on a PCB. If your hardware isn't properly grounded, the noise from the air becomes signal for the CPU. It’s not data, it’s just an endless stream of interrupts that freezes the system.

We’re spending $200B+ a year on data centers to power AI. One company raised $11M, grew human brain cells on a chip, and the cells taught themselves to play a 3D shooter in a week. Cortical Labs grew 200,000 human neurons on a silicon chip and taught them to play Doom. The cells navigate, target enemies, and fire weapons in real time. Their previous game, Pong, took 18 months on older hardware. Doom took a week. An independent developer with zero biotech experience built the integration using a Python API. The neurons did the rest. That compression from 18 months to one week tells you everything about where this is going. Here’s what the “can it run Doom” crowd is missing: each CL1 unit costs $35,000. A full 30-unit server rack draws 850 to 1,000 watts total. Your brain runs on 20 watts. A single GPU cluster training an LLM can draw megawatts. The energy economics of biological compute are orders of magnitude better than silicon, and that gap scales. The investor list tells you who’s paying attention. Horizons Ventures, Blackbird, and In-Q-Tel, the CIA’s venture arm. In-Q-Tel doesn’t fund science projects. They fund intelligence infrastructure. 115 units started shipping in 2025. Cortical Labs is now selling “Wetware-as-a-Service” through the Cortical Cloud. Developers can deploy code to living neurons remotely without touching a lab. They’re pricing access at the level of a software subscription while the hardware runs on real human brain cells derived from adult skin and blood samples. The Doom demo is marketing. The platform play is a bet that biological neurons will eventually outperform silicon at exactly the tasks AI struggles with most: real-time adaptation under uncertainty, learning from minimal data, and processing ambiguity without brute-force compute. The question was never “can it run Doom.” The question is what happens when it can run everything else.

THREAD: Verified videos of the Iran/US/Israel war - 8 March After Israeli strikes on the Shahran oil depot in north-west Tehran, fire spills over to nearby Koohsar Boulevard. "Shops and people's homes are on fire." VIdeo: @Vahid Location: 35.760525, 51.284933 @GeoConfirmed

@buccocapital great reco, gonna watch Landman now

Oil above $90. Monitoring the situation