@Akshat_World Let’s see is this government’s policy..
They work on RSS’ suggestions rather than economists.
We had visionaries like Manmohan, Amartya Sen, Montek Singh.. and now we have MAGA+MIGA= MEGA 😕
Dolund Trump is selling F-35 to India.
Few months back Elon Musk exposed how bad it is.
Narendra Modi What the hell is wrong with you?
India need SU-57 not F-35
Is this to save Adani?
@JhaSanjay It was actually Biren Singh’s and BJP’s decision that he resigned which should have actually happened long back if congress knew how to work.
@JhaSanjay Our major problem is a very weak opposition with a leader with low IQ and 0 charisma, When congress was in power,the opposition ensured Manmohan Ji became the prime minister rather than Sonia Gandhi. We can’t expect INC to ensure resignation of our incompetent FM or Biren Singh
@bainjal The answer is apt that two heads of nation don’t discuss such topics.. just adding a narrative statement over the video won’t change the fact.
@pav_doo@INCIndia I am just comparing the fall between 2004 to 2014 vs 2014 to 2024..
secondly per decade wise.. rupee has performed worst if you compare any other party’s government… and our finance minister saying that rupee is not falling rather dollar is rising is like epitome of stupidity.
Let’s ban Game of Thrones, Succession, Sacred Games, Black Warrant and other Shows like these as well while we are at it. They are also available for access easily behind a Paywall.
@narendramodi@Neeraj_chopra1 With the air quality of NCR, running in open air is worse than sitting on couch though. Why aren’t we making air pollution a national emergency is still a question that looms on Indian Government
Right now, this hairy orc is as free as you and I, perhaps more, on his 12th parole. Convicted for not one but two rapes and two murders, he had already spent more than 8 months out of 89 so far OUTSIDE prison.
When they convicted him, three dozen men died protesting because he he’s a fuckin’ “baba.”
The gang-rapists and child-murderers who were released prematurely and felicitated like dignitaries for being “well behaved Brahmins” remain free despite SC order saying no.
The drunk brat who killed two with his goon daddy’s Porsche remains free and absconding after an essay on drunk driving.
The woman who asked her husband to kill himself IN FRONT OF a judge over alimony grift, and succeeded, remains free and so does the judge.
And it’s a YouTuber’s language that lands a parliamentary inquiry? A parliamentary fuckin’ inquiry?
Are you fuckin’ serious, India?
Do you realize what a laughing stock you have become both domestically and internationally? The world’s laughing at you, you crazy fucks. We’d too if we weren’t at the receiving end of this circus.
You want dark jokes?
Show me something, ANYTHING, darker than this meme factory of a country!
What @BeerBicepsGuy said was wrong. And, outright stupid.
But, honestly it is sad to see political machinery going after him personally.
We have rich kids, who are outright murderers: roaming free. Atul Subhash's murderers are roaming free. People are dying slow death in cities like Delhi due to pollution.
There are real problems to be solved.
Not what someone said. And, how crass it was.
What he said was ugly to the core, no doubt.
People have the right to express their viewpoint. But this type of mob lynching is not correct. It can really break people.
The punishment for stupidity shouldn't be this high.
Writing this as an Indian who works on AI in leadership role for one the largest companies in the world (though strictly my personal opinion, but based on verifiable data).
You heard it first here:
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First some more shocks:
You heard DeepSeek.
Wait till you hear about Qwen (Alibaba), MiniMax, Kimi, DuoBao (ByteDance) all from China.
Within China, DeepSeek is not unique and their competition is close behind (not far behind).
IMHO, China has 10 labs comparable to OpenAI/Anthropic and another 50 tier 2 labs.
The world will discover them in coming weeks in awe and shock.
AI is not hard (I am not high)
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Ignore Sam Altman.
Many teams that built foundation models are below 50 persons (e.g. Mixtral).
In AI, LLM science part is actually quite easy.
All these models are “Transformer Decoder only models”, an architecture that was invented in late 2017.
There are improvements since then (flash attention, ROPE, MOE, PPO/DPO/GRPO), but they are relatively minor, open source and easy to implement.
Since building foundation models is easy and Nvidia is there to help you (if not directly, then by sharing their software like “Megatron” that is assembly line to build AI models) there are so many foundation models built by Chinese labs as well as global labs.
It is machines that learn by themselves…if you give them data & compute. This is unlike writing operating system or database software. Also, everyone trains on same data: internet archives, books, github code for the first stage called “pre-training”.
What is part is hard then?
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It is the parallel & distributed computing to run AI training jobs across thousands of GPUs that is hard. DeepSeek did lot of innovation here to save on “flops” and network calls. They used an innovative architecture called Mixture of Experts and a new approach called GRPO. with verifiable rewards both of which are in open domain through 2024.
Also, there is lot of data curation needed particularly for “post training”
to teach model on proper style of answering (SFT/DPO) or to teach them learn to reason (GRPO with verifiable reward). STF/DPO is where “stealing” from existing models to save cost of manual labor may happen.
LLM building is nothing that Indian engineers living in India cannot pull off. Don’t worry about Indians who have left. There are plenty in the country as of today.
Then why India does not have foundation models?
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It is for the same reason India does not have Google or Facebook of its own.
You need to able to walk before you can run.
There is no protected market to practice your craft in early days. You will get replaced by American service providers as they are cheaper and better every single time. That is not the case with Chinese player. They have a protected market and leadership who treats this skillset as existential due to geopolitics.
So, even if Chinese models are not good in early days they will continue to get funding from their conglomerates as well as provincial governments. Darwinian competition ensures best rise to the top.
Recall DeepSeek took 2 years to get here without much revenue. They were funded by their parent. Also, most of their engineers are not PHDs.
There is nothing that engineers who built Ola/Swiggy/Flipkart cannot build. Remember these services are second to none when you compare them to their Bay Area counterparts. Also , don’t trivialize those services; there is brilliant engineering to make them work at the price points at which they work.
Indian DARPA with 3B USD in funding over 3 years
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What we need is a mentality that treats this skillset as existential. We need a national fund that will fund such teams and the only expected output will be benchmark performance with benchmarks becoming harder every 6 months . No revenue needed to survive for first 3 years.
That money will be loose change for GOI and world’s richest men living in India.
@protosphinx@balajis@vikramchandra@naval
@Ishansharma7390 The trend of going to US has returned in IITians now..
In 2014, mostly IITians wanted to do a startup. In fact 90% stayed and only 10% went outside India.. saying this as a 2014 batch IITian..
A lot has changed in the last 10 years because of multiple factors..