ayush btw || AI @adda247live ll weekend athelete
Joined February 2021
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atechletic retweeted
Forever humble cause god showed me my place when I was not & thought I was winning it all without ANYONE.
Ever thought how many things had to go right in that exact order for you to be where you are.
Stay Humble, atp it's a skil
atechletic retweeted
You're going to have to deal with the fact that nobody knows exactly what the future role of programming languages and frameworks are. Maybe it all does go away and it's a straight shot from prompt to microcode! But best you can do today is get the most out of what's here now.
atechletic retweeted
for the young folks out there: be humble. humility is the greatest virtue. skills will come and go; your failures and successes will come and go. what always remains constant is how you treat people and how you make them feel. i hope the world becomes a little kinder.
atechletic retweeted
“Study hard what interests you the most in the most undisciplined, irreverent, and original manner possible.”
— Richard Feynman
atechletic retweeted
I hate when VS Code eats up 1GB and takes 7 seconds to start, so I built px0.ai, which does the same things in 20MB of RAM and starts in 1ms.
The last time we edited code in an IDE was in 2025, so our IDEs should become read-only but fast.
Give it a shot.
atechletic retweeted
4 billion payments. 3 trillion data points. One model trained on all of it.
Meet @Razorpay Vulcan - India’s first transformer-based AI foundation model for payments.
Built, trained and hosted in India, in partnership with @nvidia and @awscloud.
Until now, every payments problem was solved separately: routing, fraud, risk, personalisation and more.
We asked: What if one model could understand how money moves?
And like LLMs are trained on text to understand language, Vulcan is trained on payments to understand how money moves.
Already running in beta across 51,000+ businesses, Vulcan is delivering:
- 8–10% improvement in payment success rates - the ultimate measure of whether a payment simply works.
- 8x more international card fraud detected.
- 5x more fraudulent or disputed transactions identified.
- 1–2 lakh more purchases completed every month through better checkout personalisation.
And we’re just getting started. The best part? Every payment Vulcan sees makes the next one smarter.
We’ve spent years building the infrastructure that moves money for India. Now, we’re building the intelligence that understands and improves it. 🔥
atechletic retweeted
Looking for technical cofounder in bay 🙌
@boardyai
Dm opens too❤️
atechletic retweeted
Many people think any given ML project is 99% training.
In reality, it’s 50% evaluation, 40% data cleaning, 8% integration, and 2% training.
The first two set the noise floor for learning. No ML magic matters; the model cannot lower the noise floor, as that’s the optimal bound of Shannon encoding of your data.
Thus, not a single day goes by without me thinking about ontology. Even the old labels have to be constantly reviewed.
atechletic retweeted
Our internal data shows Claude is accelerating AI development—a possible path to recursive self-improvement, or AI autonomously building a more capable successor.
It’s happening faster than we thought, and the implications deserve greater attention. anthropic.com/institute/recu…
atechletic retweeted
This hits frontier‑AI research labs the hardest, as their best AI researchers face deportation or pressured moves to new tech hubs like London, Bengaluru, or Shanghai.
Remote work helps, but you can’t sustain full efficiency and velocity without people working in offices and meeting in person.
It’s a huge opportunity for the GOI to reverse brain drain with the right incentives - but can the decades‑old infrastructure that built Silicon Valley adapt quickly enough to support a shift like this?
No doubt the system has been abused by bad actors, but we could design something more clever to ensure the right “extraordinary brains” get their GCs without living under constant uncertainty.
atechletic retweeted
Introducing NineLayer Projects
check it out at: Ninelayer.in