Sakthi_Ganesh

Procastinator
Cricket lover🏏❤️

[Benjamin Netanyahu - בנימין נתניהו @netanyahu]

My salute to the Indian pilot Captain Smit Machchhar for his extraordinary bravery.

Despite being stabbed and seriously injured, he fought back, resisted, opened the cockpit door, and enabled passengers and crew to overpower the attacker — preventing a catastrophic mid-air disaster.

He saved the lives of 174 people, including Israeli citizens and other nationals.

I wish Captain Machchhar a speedy and full recovery.

He is a true hero.

[Sakthi_Ganesh @16Sakthiganesh]

@championswimmer What do you think about containers and security among those arnav?

And can you point out why exactly into cloud & infra engineering? Whats the driving factor behind that?

[clem 🤗 @ClementDelangue]

https://t.co/KXKqDSkNJj

[Sakthi_Ganesh @16Sakthiganesh]

RL for physical hardwares on the cards now.Interesting times ahead…!
Wondering how can we catch up this wave.!?

[Skild AI @SkildAI]

Introducing S1, our new foundation model that learns from one example.

It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning.

Watch S1 operate in real-time via in-context learning:

[SpaceXAI @SpaceXAI]

Welcome to the SpaceXAI team!

Cursor will help us move faster on the path to the world's most useful AI, starting with software engineering and expanding into knowledge work.

[Sakthi_Ganesh @16Sakthiganesh]

@arpit_bhayani Which ai provider you typically use to understand more about the papers? Is it gemini/claude/chatgpt?

[Venkata Krishna B @venkatatweets]

Breaking: Chennai Super Kings have parted ways with Stephen Fleming.

[Sakthi_Ganesh @16Sakthiganesh]

@DealsDhamaka How do you ensure that CA doesn’t feed any of your data to AI tools?How secure your CA systems are?

If you are thinking about not giving your data is something due to privacy concerns, then how about the websites, browser, thirdy party mobile applications and the devices you use

[Ananthan Ayyasamy @AnanthAyyasamy]

Four years ago, I sat down with my 12-year-old daughter in the US and told her I was walking away from a successful tech career and real estate business to return to India for public service and politics.

At that age, she didn’t realize “public life” would slowly take her Appa away from her for months… and years.

But I came with conviction.

So for the last 4 years, we gave everything we had — for example -In villages like Subramaniapuram and Vellanaikottai, we built bus shelters, restored a 100-acre pond, removed seemai karuvelam, strengthened bunds, planted thousands of palm saplings, supported students’ education, organized medical camps and career workshops, built community sheds, encouraged youth and sports activities, and contributed to annadanams.

It cost several ten lakhs of hard-earned money - just for this village alone. But more than money, it cost time… family moments… and precious years watching my daughter grow up from far away.

Then elections came.

And the same village chose a candidate who had barely visited them in five years.

In the end, one week of election-time money defeated four years of sincere service.

Yesterday, my daughter quietly asked me over video call:

“Appa… can you now tell me what exactly politics is?”

For the first time in my life, I did not have an answer for my chellaponnu.

@svembu

[Nandhini @seenandhini]

We miss this very obvious trend in TN politics. For decades, only those who treated women well have stayed in power, and that's why JJ was undefeated. Anytime women felt unsafe, the party lost. And anytime anyone acted arrogant, they lost. So it was a given that DMK would lose.

[Virudhai Magal Keerthana @Keerthana4VNR]

இது நிச்சயமாக மக்களின் வெற்றி. நான் எப்போதும் சொல்வது போல, சிவகாசியில் உள்ள ஒவ்வொருவரும் இப்போது ஒரு MLA தான். நாம் அனைவரும் ஒன்றாக இணைந்து, நம் நகரத்தை சிறந்த நகரமாக மாற்றுவோம்.

#TVK #Sivakasi #thalapathyvijay #thalapathy #KeerthanaTVK

[The Kaipullai @thekaipullai]

Sometimes I genuinely feel bad for PTR.

You come from an illustrious family, You study from the best foreign
universities, work at the biggest of banks, 100s of people reported to you, you handle more money than what an average civilian does in seven lifetimes, you are knowledgeable, articulate, suave and you generally know what is going on.

Yet, when it comes to politics, you have to stand in line and salute Inbanidhi.

[Chennai Super Kings @ChennaiIPL]

Frame that carries the Yellove aura! 💛

#WhistlePodu #Roar26

[Polimer News @polimernews]

தந்தை 5ம் வகுப்பு.. தாய் 8ம் வகுப்பு.. மகன் 22 வயதில் ஐஏஎஸ் அதிகாரி.. செங்கல் சூளையில் வேலை பார்த்து ஆளாக்கிய தந்தை.. தாயின் சபதம்.. மகனின் விடாமுயற்சியால் வெற்றி பெற்ற குடும்பம்..

#Chennai | #IASExam | #UPSC | #Student | #Parent | #PolimerNews

[Prithvi @Prithvi10_]

Shivam Dube

27(16) in 2024 final

26(8) in 2026 final after coming in with 10 balls remaining

Clutches of clutch

[Sanjeev NC @yenceesanjeev]

Trying to use OpenClaw after token limit expired

[Google @Google]

We're partnering with @KhanAcademy to bring a suite of Gemini-powered learning and literacy tools to students, starting with the Writing Coach tool.

Writing Coach doesn’t generate answers or deliver a finished product — it walks students through the process of outlining, drafting and refining their own ideas. #BettUK2026

[GDP @bookwormengr]

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:
—————————-
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)
————————————
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?
———————————-
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?
———————
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
———————-
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

[Chennai Super Kings @ChennaiIPL]

Mission : T20 World Cup 💪🏻🦁🇮🇳

#T20WorldCup #WhistlePodu