Self Taught

[MCMLXXXIV™ @ptnhlo4vr]

🤣🤣🤣

[Web3LORD🔺 @Unfortunate_95]

the woman in both these pictures is my mother. 😢

one is before cancer. the other is what this disease has done to her.

my mother, Babita Singh, has already fought stage 4 colon cancer once. unfortunately, we are fighting cancer again.

over the years, we’ve spent ₹38L+ ($38000) on her treatment, pooling everything we could from family and relatives. we’ve now reached a point where we’ve exhausted almost everything we had.

[attaching bills + medicines]

we need to raise another ₹10 lakh( $10000) to keep her treatment going. the fundraiser covers 5 lac part of this, and we’re trying to arrange the rest however we can.

if you can help with any amount, i’ll be forever grateful.

👉🏻 fundraiser: (gpay and all, only 5 lac)
https://t.co/gh0nXaiiHk

👉🏻 Fundraising through crypto (only $5k)

solana: [ HwJMgrHnGnDLvWhD8wVPMh6FVCmsHiGJrVRywrLp1hsH

ethereum: [ 0x99Fd581d47213b00b035b95b32deD0cE241902B2 ]

if you can’t donate, please repost this. it might reach someone who can.

feel free to dm me to ask any for any proof, thank you ❤️

[Взаимная подписка с адекватными @since1795]

Про роботов

[Self Taught @SelfTaught01]

I'm participating in the @ethena ecosystem.

Join the campaign with my code: https://t.co/DpYgmkDZZM

[Jensen Huang @JensenHuang]

For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.

AI will transform every industry, power every company, and be built by every country.

Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.

The world needs both frontier closed models and frontier open models.

https://t.co/AUKzoQ5Ikb

[МаИ @ivanjvsivan]

😮Хорошие новости

[Antonio Aracre @tonyaracre]

Por si algún distraído tenía dudas que fue, es y será el MEJOR DEL MUNDO.

[Drew Pavlou 🇦🇺🇺🇸🇺🇦🇹🇼 @DrewPavlou]

Messi crying 😢

Head up king. Still the greatest of all time.

[Mars University @MarsUniversityX]

Elon Musk: “If you want to recruit talented and driven people, you must state the mission, the problem to solve, and show you’re willing to pour blood, sweat, and tears into it with a convincing reason why it matters.
Motivation comes from three things: enjoying the work itself, fair financial rewards, and knowing the work will make a real difference in the world.”

[Binance @binance]

The moment the match ended... it was back to the charts.

[Benjamin Cowen @benjamincowen]

Bitcoin in 2026 is just a less volatile version of 2018.

[Deep🪬 @DeepStarts]

Me and Claude sonnet 5 after release

[Benjamin Cowen @benjamincowen]

There is a difference between being right and making money

[Commentary - Sowell Economics @sowelleconomics]

Ayn Rand: "Under a free system, no one could acquire a monopoly on anything. If you look at economics, and economic history, you will discover that all monopolies have been established with government help."

[Jaynit @jaynitx]

Elon Musk explains his 5-step algorithm for solving any problem:

"The most common mistake of smart engineers is to optimize a thing that should not exist."

"I have this very basic first principles algorithm that I run as a mantra."

Elon breaks it down:

Step 1: Question the requirements.

"Make the requirements less dumb. The requirements are always dumb to some degree, no matter how smart the person who gave you those requirements. You have to start there, because otherwise you could get the perfect answer to the wrong question."

Step 2: Try to delete it.

"Try to delete the part or the process step entirely. If you're not forced to put back at least 10% of what you delete, you're not deleting enough. Most people feel like they've succeeded if they haven't been forced to put things back in. But actually they haven't, they've been overly conservative and left things in that shouldn't be there."

Step 3: Optimize or simplify.

"The most common mistake of smart engineers is to optimize a thing that should not exist. So you don't optimize until after you've tried to delete."

Step 4: Speed it up.

"Any given thing can be done faster than you think. But you shouldn't speed things up until you've tried to delete it and optimize it otherwise, you're speeding up something that shouldn't exist."

Step 5: Automate.

"And then the fifth thing is to automate it."

Elon explains why the order matters:

"I've gone backwards so many times where I've automated something, sped it up, simplified it, and then deleted it. I got tired of doing that. So that's why I have this mantra."

[Aakash Gupta @aakashgupta]

Jensen Huang says he was happier in his 20s than he is now. The reason is not what you think.

He wasn't happier because NVIDIA was smaller, or because the work was simpler, or because he had less money on the line. He was happier because he was ignorant of how impossible the thing he was attempting actually was.

His exact phrasing: he thought his 20s were happier, and looking back, the reason was that he didn't know enough to be afraid. If he had understood the real probability of building NVIDIA into what it became, he would have quit. The math on a fabless GPU startup in 1993 trying to compete with 30 incumbents was negative expected value. Anyone who modeled it correctly walked away.

So the founders who survived were the ones who modeled it wrong.

This is the part that gets misread as motivational content. Jensen is describing a structural feature of how breakthrough companies actually get built. Optimism is not a mood. Optimism is a cognitive error that lets you keep showing up while better-informed people exit. The error is load-bearing. Without it, the company doesn't exist.

NVIDIA almost died three times in the 90s before the GeForce 256 worked. RIVA 128 shipped late, RIVA TNT was a bet-the-company release, Microsoft's DirectX nearly killed the entire 3D accelerator category. Every one of those moments was a place where a rational founder would have sold or shut down. Jensen didn't, because he didn't fully understand the odds he was facing.

The deeper point: every company worth building is one where the founder had to be wrong about the odds to start it. The accurate forecasters self-select out at the planning stage. What gets built is whatever the optimists were willing to attempt while everyone smarter said no.

Jensen's $4 trillion company is a 30-year compounding return on being wrong about how hard it would be.