@sreemoytalukdar There was no open ended stay to begin with. A student on F1 visa needed to maintain valid paperwork (I-20 + Sevis) to re-enter the country. If the student didn't have valid I-20, the entry was denied. In summary, just having a valid F1 visa alone was never enough either way.
Did you know your ₹100 in the bank isn’t sitting in a vault?
It’s lent, spent, and re-deposited within hours. One printed ₹100 turns into ₹500 across the economy. Banks decide how much.
India runs this slower than the rest of the world. 50% credit-to-GDP against a global 148%. On purpose.
The instinct was built in 1969 and never left. It’s the shield that kept India out of 2008. It’s also the ceiling.
You can’t fully have one without the other..
If you are on the verge of AGI or ASI, why isn’t your model smart enough to recognize espionage distillation in real time? You say “cure cancer in a few years.” Isn’t sniffing illicit distillation quite a bit easier than curing cancer? Why write letters to DC? Just use AGI.
@vijayshekhar I think India should double down on open source strategy. There will be a huge demand in the coming months for local LLM models running on non expensive hardware. This will playout in the coming year as big AI labs try to justify their spend!
Congratulations to @elonmusk and his team for SpaceX IPO 🚀
Just a quick reminder in this moment of glory, he started his career in the US on a H1B visa.
#spacex#elon#h1b
Stop taking advice from people who've never built anything. If they haven't put something on the line, their opinion on your risk isn't worth hearing.
The people who judge the attempt are never the ones making one.
Your smart TV is taking screenshots of your screen every 15 seconds.
Not a guess. Not a theory.
A peer-reviewed study by researchers at UC Davis, UCL, and UC3M tested it.
Samsung TVs: every minute.
LG TVs: every 15 seconds.
Even when you're just using it as a monitor.
Here's how to turn it off for every brand:
I loved Dhurandhar-1, but The Revenge surpassed the original in both scale and soul.
The writing, casting, technical execution, music, world design and direction are flawless…. But it’s the emotional stakes that really ground it.
The writing manages to weave plot twists that create genuine tension charged with emotion. @AdityaDharFilms, you hit it out of the park. It takes guts to make and release a film 4 hours long. The audience is glued to the seat till the last frame. 🫡
@RanveerOfficial, what a performance man… The sequence with the sister in the shed is a masterclass in acting. From that beginning to the heart-wrenching climax, you mesmerized us both as Hamza and Jaskirat.
@ActorMadhavan garu, you carried the helplessness and frustration of a nation so well that we felt your sucess as ours..
Congratulations to the entire team for the resounding success… 👏🏼👏🏼👏🏼
Is Traditional Software Engineering Dead?
“Does this mean that traditional software engineering is dead? Absolutely not. Software engineers—even the ones who are not necessarily tuning or training AI models—these are now among the most leveraged people on earth. Sure, the guys who are training and tuning models are even more leveraged because they’re building the tool set that software engineers are using.
But software engineers still have two massive advantages on you. First, they think in code, so they actually know what’s going on underneath. And all abstractions are leaky. So when you have a computer programming for you—when you have Claude Code or equivalent programming for you—it’s going to make mistakes.
It’s going to have bugs. It’s going to have suboptimal architecture. So it’s not going to be quite right. And someone who understands what’s going on underneath will be able to plug the leaks as they occur.
So if you want to build a well-architected application, if you want to be able to even specify a well-architected application, if you want to be able to make it run at high performance, if you want it to do its best, if you want to catch the bugs early, then you’re going to want to have a software engineering background.
The traditional software engineer is going to be able to use these tools much better. And there are still many kinds of problems in software engineering that are out of scope for these AI programs today. The easiest way to think about those is problems that are outside of their data distribution.
For example, if they need to do a binary sort or reverse a linked list, they’ve seen countless examples of that, so they’re extremely good at it. But when you start getting out of their domain—where you have to write very high-performance code, when you’re running on architectures that are novel or brand new, when you’re actually creating new things or solving new problems, then you still need to get in there and hand code it.
At least until either there are so many of those examples that new models can be trained on them, or until these models can sufficiently reason at even higher levels of abstraction and crack it on their own…
And remember: there is no demand for average. The average app—nobody wants it, at least as long as it’s not filling some niche that is filled by a superior app. The app that is better will win essentially a hundred percent of the market. Maybe there’s some small percentage that will bleed off to the second-best app because it does some little niche feature better than the main app, or it’s cheaper, or something of the sort.
But generally speaking, people only want the best of anything. So the bad news is there’s no point in being number two or number three—like in the famous Glengarry Glen Ross scene where Alec Baldwin says, “First place gets a Cadillac Eldorado, second place gets a set of steak knives, and third place you’re fired.”
That’s absolutely true in these winner-take-all markets. That’s the bad news: You have to be the best at something if you want to win.
However, the set of things you can be best at is infinite. You can always find some niche that is perfect for you, and you can be the best at that thing. This goes back to an old tweet of mine where I said, “Become the best in the world at what you do. Keep redefining what you do until this is true.”
And I think that still applies in this age of AI.”
The number of people on Twitter fighting hard to prove that Sarvam is a bad idea and has 'nothing novel' is just insane.
They are doing fantastic work and unlike many AI companies they are genuinely exploring and expanding on a possible moat with their focus on Indian languages.
How this thing did not have legions of fans is beyond me! India needs more local built brands and companies!
Fantastic work @pratykumar and the @SarvamAI team!