JSR

Sports & politics.

[Cauteloso @InvestidorCaut1]

Nadal não construiu esse físico jogando tênis

Foi na sala de musculação

O tênis ( cardio z2 basicamente) construiu uma sensibilidade a insulina absurda que facilita a criação de massa muscular com mínimo de esforço e glicose e proteína

Insulina é o hormônio mais anabólico que existe

Sensibilidade a insulina é tudo

Quer colocar o shape ( nível atleta seco ou CR7)

20k passos por dia ou um esporte cardiovascular que você curta ( tênis, natação, corrida, triatlon) + 3 ou 4 seções de musculação semanais boas

E seja bom nesse esporte como amador, não medíocre

Quer manter um físico legal, sem estar super trincado ( 10k passos por dia ou ser medíocre no esporte cardiovascular) + 5 seções de musculação

Quanto menos sensibilidade a insulina, mais eficiente seu treino de musculação precisa ser

Quanto mais sensível; você ganha músculo com os treinos mais vagabundos possíveis

[JSR @wastedman69]

@AmaalMallik @arjitian @imdiljit7 moment you said it publicly you wanted him to do the song you killed every chance of having him onboard. Could have had him do the song without the fuss, now other md's know he didn't accept your song prior to retirement announcement & him doing yours would contradict everything

[Himanshu Tyagi, IFS @Himanshutyg_ifs]

Pigs are exceptionally clean. The misconception of them being dirty comes from a misinterpretation of their evolutionary adaptation.

Unlike humans, pigs have very few eccrine sweat glands over their bodies. So they can't sweat out internal heat as we do.

To make matters worse, domestically bred pigs have thicker layers of subcutaneous fat, which heats their core even more.

Wild pigs have evolved a way out --> wallowing in clean mud. The mud coating keeps them cool through evaporative cooling. It also protects their hairless skin from UV damage and parasite attack.

This urge to cool down in mud is hardwired in a pig's instinct.

The problem arises in industrial settings where proper wallowing facilities are not provided & pigs are crammed in closed pigsties.

To cool themselves down, they resort to covering themselves in their own waste.

If given clean wallowing facilities, pigs are conscious enough to keep their latrine and living areas completely separate.

The problem exists because we don't understand their biological and evolutionary needs.

[Sam⋆☕︎ @Abhivridhi_Vani]

He looks like those kids who cosplay adults in flipkart ads

[Anish Moonka @anishmoonka]

A guy named George Bell could have bought Google for $750,000. He said no. Google is worth $4 trillion today.

Bell wasn't an idiot. He was the CEO of Excite, a search engine that back in 1999 was way bigger than Google. The deal had a catch. Google's co-founder Larry Page wanted Excite to throw out their own search technology and replace it with Google's. Bell had hundreds of engineers who built Excite from scratch. He couldn't fire them all because two Stanford grad students said they had a better algorithm. His reasoning was sound. The outcome was a disaster.

Three years later, the guy running Yahoo did almost the same thing with bigger numbers. Terry Semel offered $3 billion for Google in 2002. Google said $5 billion. Semel walked over the $2 billion gap. Today Google is worth roughly 800 times what he refused to pay.

In 2000, the founders of Netflix flew to Dallas and offered to sell their whole company to Blockbuster for $50 million. The Blockbuster CEO almost laughed them out of the room. He called Netflix a niche business and said the dot-com hype was overblown. Netflix is worth around $390 billion today. Blockbuster filed for bankruptcy in 2010.

Kodak is the one that hurts the most. In 1975, a young engineer at Kodak named Steve Sasson built the world's first digital camera. It weighed eight pounds, was the size of a toaster, and took 23 seconds to save a single black-and-white photo to a cassette tape. He showed it to his bosses. Their reaction was: cool, but don't tell anyone. They patented the technology and shelved it. Kodak's executives wanted to wait for a perfect digital camera before they competed with their own film business. By the time they got serious about digital, the Japanese had taken over the market. Kodak filed for bankruptcy in January 2012. At its peak, the company controlled 90% of the US film market and employed 145,000 people.

Now look at what Microsoft did in July 1981. IBM was about to launch the personal computer. They needed an operating system. Microsoft didn't have one. So Bill Gates went to a small Seattle hardware shop that had cobbled together something called QDOS, which stood for "Quick and Dirty Operating System." Yes, that was the real name. Gates bought the rights for $50,000, slapped "MS-DOS" on it, and licensed it to IBM weeks before the PC launched. He didn't build a perfect operating system, and he didn't wait for someone to make one. He grabbed what was on the shelf and shipped it.

Excite, Yahoo, Blockbuster, and Kodak each had more money, bigger market share, and in some cases, the better technology. They all wanted the cleaner shot. Microsoft picked up the magazine that was lying around and started firing.

The next $4 trillion company is being passed on right now. Someone is reading the pitch and finding a perfectly reasonable reason to wait.

[JSR @wastedman69]

Khade hoke film kaun dekhta hai theatre mei

[Filmfare @filmfare]

#Prabhas and #SandeepReddyVanga were seen watching #DhurandharTheRevenge together. 😍

#Celebs #Trending

[Elon Musk @elonmusk]

If only we’d trained Grok on just these 2 books, we’d be done already!

[Aakash Gupta @aakashgupta]

There's a physicist at Stanford named Safi Bahcall who modeled this exact principle and the math is wild.

He calls it "phase transitions in human networks." When you're stationary, your probability of a lucky event is limited to your existing surface area: the people you already know, the places you already go, the ideas you've already been exposed to. Your opportunity window is fixed.

When you move, your collision rate with new nodes in a network increases nonlinearly. Double your movement (new conversations, new cities, new projects) and your probability of a serendipitous encounter doesn't double. It roughly quadruples. Because each new node connects you to their entire network, not just to them.

Richard Wiseman ran a 10-year study at the University of Hertfordshire tracking self-described "lucky" and "unlucky" people. The single biggest differentiator wasn't IQ, education, or family money. Lucky people scored significantly higher on one trait: openness to experience. They talked to strangers more, varied their routines more, and said yes to invitations at nearly twice the rate.

The "unlucky" group followed the same routes, ate at the same restaurants, and talked to the same 5 people. Their networks were closed loops. No new inputs, no new collisions.

Luck isn't random. Luck is surface area. And surface area is a function of movement.

The lobster emoji is doing more work than most people realize. Lobsters grow by shedding their shell when it gets too tight. The growth requires a period of total vulnerability. No protection, no armor, soft body exposed to the ocean.

That's the cost of movement nobody posts about. You have to be uncomfortable first. The new shell only hardens after you've already moved.

[Chirag Barjatya @chiragbarjatya]

Haha let me tell you a story. My relatives once took me to some religious place of worship in Rajasthan. There people used to get “bhav”

Now what is bhav? It gets funnier. During religious sermons and loud music, songs, some people used to get fits and starts dancing, speaking in different voice, pulling hair, jumping and acting like some old relative from their families (who passed away or about to) and people around starts worshipping them, feed them food/milk thinking the person got a soul of a different person.

Haha. Dissociative identity disorder mostly. And it is very rare. Hence people around think this person is literally became “God” for sometime.

Entire place of worship used to gather just to see the “bhav” of that one guy. The kid you are seeing here smoking is the kind of same thing. He is going through mental agony that needs psychiatric help but you know how things work here.

[Aakash Gupta @aakashgupta]

The machine that built the chip in this video should mass-humble every human who's ever lived.

ASML's latest EUV lithography system costs $370 million, weighs 180 tons, and requires three Boeing 747s to deliver. It contains over 100,000 individual parts from 5,100 suppliers across 14 countries. It shoots 100,000 molten tin droplets per second with a laser, superheating each one past the temperature of the sun's surface to generate light at a wavelength so short that no natural material on Earth can focus it.

So they had to invent new mirrors. Each one is polished with 100 alternating layers of molybdenum and silicon. The surface tolerance is so extreme that if you scaled a single mirror up to the size of Germany, the tallest imperfection would be 1 millimeter.

Those mirrors took 20 years to develop. The company that makes them, Zeiss, had to build entirely new metrology tools just to confirm the mirrors were flat enough, because no existing measurement instrument on Earth could verify the precision they needed.

The machine prints features at 2 nanometers. That's roughly 10 atoms wide. A human hair is 80,000 nanometers. A red blood cell is 7,000. A single COVID virus particle is 100. These machines are etching functional circuits 50 times smaller than a virus.

TSMC is now mass producing 2nm chips in a Kaohsiung fab so large the cleanroom is twice the size of any competitor's. Each 2nm wafer costs $30,000 to produce. The entire 2026 production run was booked before a single chip shipped. Apple, NVIDIA, AMD, and Qualcomm all reserved capacity years in advance. TSMC is spending $28.6 billion just to build enough fabs to meet demand for this one node.

The chip that comes out of this process is smaller than a fingernail, runs on less power than a light bulb, and contains transistors that wrap gates around nanosheets of silicon only a few atoms thick.

The raw material it started as was sand. The sand cost a fraction of a penny. The civilization that processed it into this started by banging rocks together.

[Ronnie @ronnie__rr]

Vietnam en los 80: es hora de abrir la economía, proteger la propiedad privada y permitir el ingreso de capitales extranjeros

Un pelotudo en twitter 40 años después: otro logro del comunismo

[Aseem Dhru @aseemdhru]

Phir Se (Yet again) a bollywood musical journey.

Often comes along music that moves you. Listen to Pritam's Kalank the title track. Soulfully sung by Arijit Singh loosely based on Raag Shivranjani. The same raag Pancham used in Mere Naina Saawan Bhado or Tanishk Bagchi's Saiyaara based on Raag Kirwani that Pancham used in Rimzim Gire Sawan.

Then arrives Shashwat Sachdev. His music has glimpses of my all time favourite Pancham (RD Burman). I don’t watch many movies but there are songs that hold me. Shaswat did this with Dhurandhar. Gehra Hua is mesmerising raag Bhairavi. Na toh karvaan ki taalash hai is an old classic in Raag Yaman. Fa9la the tune that went viral reminds me of Raag Asavari - its an Arabic composition and they treat their songs differently. The beats override melody. The Shehnai while used in Hindustani Weddings, I have found the instrument like Violin to be a little on the sadder side. This brings Shehnai alive almost as a dance number!

But the reason I write this is Phir Se from Dhurandhar -2. This is one of the most moving songs I have heard from Bollywood in a long time. I feel its based on one of Pancham’s favourite raag - Khamaj. It brings out Shringar Rasa. This can be used in a flirtatious way like in Bada Natkhat hai or in a melancholic way like Kuch toh log kahenge both from Pancham’s Amar Prem.

If you have not heard Phir Se yet please do so now. If you have heard it, please do listen to it again after reading this. Irshad Kamil has written one of the finest lyrics in recent times and Arijit steals your heart with that dreamy voice of his. No one can bring you pain with melody like he can!

I haven’t heard String instrument layering like this. Sitar, Piano, Bass Guitar with long notes. The way the song opens with a Sitar chorus before Arijit pours his auditory single malt and the Sitar solo lifts the piece. The haunting layered pieces in the background of the vocals and music is something not often heard.

The mixing of the music with reverb, delay and saturation takes Arijit’s unique texture to a different plane. Whats unique is the song doesn’t rely on beats or percussion. It’s pure melody. It’s not a song. It will stir an emotion in you. The pain, the conflict, the separation, the longing , the complain, the helplessness, the emptiness being felt by the protagonist feels personal!

Those who complain Bollywood music is dying don’t know what to listen! The best things in life are free, we just have to create the ability to appreciate and enjoy them thoroughly.

Turn up the volume, close your eyes and go within…Phir Se. If it moves you to tears, don’t be apologetic, you are human after all! Music is not just entertainment, it is also an expression of life in it myriad emotions, moods and seasons.

P.S Music is an area of interest and not of competence. I could be wrong in the raag identification, if so please forgive that and focus on the music.

[Lane Kendall @lanedeankendall]

First of all, China's rise, to the extent it has risen, was completely facilitated by the international order which was created by the United States post-WW2.

Secondly, if one were to actually "learn from China" you would learn to:

- Militarize the South China Sea
- Steal territory from your neighbors using completely fabricated historical nonsense
- Salami slice your near abroad
- Subsidize, overproduce, and export en-masse to trading partners to kill their domestic industries
- Put other partner countries under crippling debt to build shitty infrastructure projects
- Steal billions upon billions worth of intellectual property
- Suppress, crush, and imprison any domestic dissent
- Run endless cyber and information campaigns against your ideological foes
- And complain about the West all while using Western systems to enrich yourself.

Among other things.

[JSR @wastedman69]

chikki

[All day Astronomy @forallcurious]

🚨: This is the surface of Sun, the most detailed image ever taken!

[H @thelonghol]

While they were growing to $5000 per capita income, China completely ignored pollution, greenery and such luxuries. They cut every tree that was needed to be cut and allowed every form of smokestack industry to flourish.

The only yardstick till that point was industrial growth & jobs for the bottom of the pyramid

Once they crossed the $5k PCI mark, they gradually turned their attention to some of these things. But never at the cost of jobs

India is a different situation. Reserve forests and constant noise on pollution are signals of a society captured by elites.

Not a society obsessively focused on raising the lot of the bottom 40%

[Polling USA @USA_Polling]

Sometimes I believe the conspiracy theory that anti-nuclear environmentalists are just oil and gas astroturfed organizations

[Emerald Apple @AI_EmeraldApple]

I love how she does it on a platform+technology developed by and produced by men, while standing on a stage built by men, powered by the power grid built by men, driving to the venue on roads built by men, flying on aircraft built by men, gear hauled to the venue by men, and security provided by men.

Her entire shtick is about radicalizing women against men, and what's worse are the male simps that eat up.

These are the same kind of people who mock men who go into the trades, work blue-collar jobs, and keep the entire system working, while they enjoy the benefits of that labor, and they show zero gratitude for it.

Women like her are the reasons why the West is in demographic collapse, as trust between the genders is in free fall.

[Frontier Indica @frontierindica]

For 99% of human history, the paranoid guy who couldn't sleep because he heard rustling outside the cave was the one who survived the night. The chill guy who couldn't be bothered got eaten by a leopard.

Natural selection rewarded hypervigilance, high cortisol, and an overdeveloped threat radar because in 10,000 BC, a false alarm cost you nothing but a missed nap while a missed threat cost you your life. So the genes that made it through are the ones wired to assume the worst.

You can see the same pattern everywhere. The people who could store fat efficiently survived the lean winters and famines, passed on their genes, and now those same genes in a world of cheap seed oils, endless processed carbs, and 24/7 food delivery make you pre-diabetic by 35. An adaptation that kept your ancestors alive for 200,000 years is now the leading cause of death in the modern world.

Or take intelligence for instance. For most of human history, being smarter meant better resource acquisition, better social status, more mates, more surviving offspring. But in the modern world, the correlation between IQ and fertility has completely flipped. Multiple studies across countries show a consistent negative relationship between cognitive ability and number of children. Higher IQ individuals delay reproduction, pursue more education, overthink the decision to have kids, and end up having fewer or none. The trait that was once the ultimate evolutionary advantage is now selecting itself out of the gene pool.

The takeaway here is that the stress response that kept your ancestors alive through ice ages and tribal warfare now fires because your Uber is 4 minutes late. Evolution built you to survive a world that no longer exists but nobody bothered to tell your amygdala.

[atulit @atulit_gaur]

dude computers are actually so fucking insane when you really think about it. we literally figured out how to write some fake-ass rules called code and somehow convinced rocks to follow them. like actual rocks. sand, melted, purified, carved into tiny pathways where electricity just flows in patterns. that’s it. that’s the whole magic.

and yet from that we get operating systems, compilers, kernels, networks, distributed systems, machine learning models, entire virtual worlds running inside other virtual worlds. billions of tiny electrical decisions per second, all because we defined some abstract logic.

humans basically invented a language of instructions and taught matter itself to execute it.