Chitrank Jain

looking around

[Deepinder Goyal @deepigoyal]

The Temple team has made a breakthrough.

We have discovered (literally discovered) a biomarker, only readable on the temple region, and nowhere else, that measures the real-time cost of you being alive.

We are calling it Entropy™.

It's a live number on Temple's home screen, updating every second, on an index from 1 to 250.

1 is the deepest rest we've ever recorded. We've only seen fit, experienced meditators touch it, for fleeting moments deep in practice. 250 is the highest we've seen in elite athletes at the peak of their output and flow.

Everything moves Entropy. Sleep, stress, a sprint, coffee, a meal, a cold plunge, meditation, strength training... everything moves your metabolism, your cost of being alive. And Entropy tracks it, live.

Heart Rate doesn’t come even close to this level of precision in calculating the cost of being alive. We benchmarked Entropy and Heart Rate against a standard metabolic cart (calorimeter). Over a hundred cardio sessions, Entropy tracked the calorimeter's curve at r=0.93 and p <0.001. Heart Rate managed a meagre r=0.55.

Here's why Entropy should matter to you –

Your Entropy Maxima is the highest your body can reach when you push it hard. A high peak is the signature of a capable body, one that can rise to meet effort and recover from it. As we age, that ceiling naturally falls, so this is the number to push upwards.

Your Entropy Minima is the lowest your body settles to at rest. Across the animal world, a lower cost of being alive at rest tends to go with a longer life. Your Entropy Minima is the number to bring down, every single day.

Living with Entropy is magical. 
It teaches you so much about yourself, that no other metric ever has. We are looking forward to you trying out Temple. But not before it’s perfect.

Apply for early access at https://t.co/XxGR9Hpq58

Follow @temple for updates.

[Sarvam @SarvamAI]

We are excited to announce that Sarvam is partnering with @PixxelSpace to power the AI backbone of India's first orbital data centre satellite.

This is a first for the country, with India-built AI models running on an India-built satellite and both training and inference happening directly in orbit, without any dependence on foreign cloud or ground infrastructure.

[HIGH PLANES Drifter @the_engi_nerd]

The story that’s between the lines is that the military needs to reverse engineer F-35 parts because the data rights to the F-35 design weren’t spelled out in detail in the original contract. So Lockheed Martin believes that all F-35 design data ultimately belongs to Lockheed Martin.

There was a legal fight over the code of the F-35 for years. The government wants access to the code to get the Joint Simulation Environment working; LM didn’t like this idea. Ultimately the lawsuit was settled, terms undisclosed.

I don’t blame the JPO for celebrating this. Just know there’s a definite “fuck you, Lockheed” context.

[Hemant Mohapatra @MohapatraHemant]

To train a GPT class 1T model from scratch - including failed runs, data acq+clean+rlhf, post-training, team/people will likely req $250M of compute on an aggressive 3-4mo schedule (i.e. more reserved GPUs), $500-600M all-in IF you do a dense one. MoE + fp8 will cut costs by 1/10th depending on how many active params you have. If you want SOTA however, the budgets go significantly higher on test-time compute, post-training RL, and data/synthetic generations..and v. high on talent. Maybe $2-4B all-in. After that comes serving the model. The talent is key to get to SOTA/beat it - and then you have to ensure this is useful enough to have inference vol over time - for which the capital will come if there is usage / TAM. So this is not as much about raising $50-60B, or raising it all at once as the OP says - we are investors in mistral, sarvam, reflection and anthropic - and they all scaled capital over time as models got adoption, but the early bottleneck is more on talent + GPUs at that scale where you can do interesting things.

[Sushant Vohra @sushantv94]

Excited to launch India’s best Air Purifier. It’s the need of the hour and we needed one like yesterday. So we designed, engineered and produced it. Almost 2 years of R&amp;D and 100s of hours perfecting airflow.

Here is JB to the world.

[Uday Kotak @udaykotak]

Google which is cash surplus, just announced an additional capital raise of $80 bn.
Google annual profit is $160 bn, last quarter $62 bn, and market cap $4.5 trillion. That is close to total profits and market cap of all Indian listed companies put together.
It’s a wake up call to all companies to invest into the future, whatever the present maybe.
Now that IPL is done and dusted, time for India to focus on business of business.

[Sanjiv Bajaj @sanjivrbajaj]

India won’t just adopt the next wave of tech. India will build it.

We’ve launched Finserv Intelligence: our applied research & innovation initiative. We’ve partnered IIT Bombay on AI, cybersecurity and quantum & we are committed to backing deep tech founders with Rs. 1,500 crore-2,000 crore investment over 5 years.

Beyond financial services, we will expand into health & climate technologies.

We’ve chosen to build. In India. For India & the world.

#MadeInIndia #DeepTech #FinservIntelligence

[Chitrank Jain @chitrank10]

@KrishnaPra60146 Don’t think Max uses Mantra.

[Pendulum @pendulum_habit]

High intellect + Low income = Angry people

Low intellect + High income = Assholes

High intellect + High income = God complex

Low intellect + Low income = Very religious people

[pH @pHequals7]

https://t.co/noKIgZK9aG

[Rajeev Mantri @RMantri]

1/ Owing to high barriers to entry, India’s lodging and hotels industry has become a cartel that raises prices at will and fleeces customers.

India’s luxury hotel average daily rate (ADR) in Mumbai and Delhi now rival those of New York and London. Absurdly enough, the financial press sometimes celebrates this as some triumph of Indian hospitality. It is nothing of the sort. High prices are the unmistakable stamp of a supply-constrained market in a low income country, which should actually have a very competitively priced and deep pool of lodging options. The hotel industry is a structural failure being hyped as a success.

[Chitrank Jain @chitrank10]

@ashwinidamani SPJIMR. Objective benefits: smaller batch, Mumbai (lateral), strong in Marketing &amp; IM

[Reuters @Reuters]

India's Skyroot becomes first $1 bln space-tech startup with GIC, Sherpalo, Blackrock backing https://t.co/ylSp34Xoif https://t.co/ylSp34Xoif

[kshitij vaze @VazeKshitij]

So, just this week -

->@SkyrootA got funded for 60 MILLION USD.
->@SarvamAI and @PixxelSpace announced their partnership for sending literal data centers to space.
->@ArmoryShield got a 100 CRORE contract from Indian army.
->@GalaxEye launched the world's first OptoSAR satellite.

And many more that might have not shown on my TL. Indian startup eco-system is winning all over the place, and I simply love to see it.

Trust me, if you are an engineering student, find and join these companies. Build tech that'll outlast you, and attempt to create something beautiful!

[🌺 @hibiscus_pie]

How north indians dress up v/s how bangaloreans dress up.

[Narendra Modi @narendramodi]

Mission Drishti by GalaxEye marks a major achievement in our space journey. The successful launch of the world’s first OptoSAR satellite and the largest privately-built satellite in India is a testament to our youth’s passion for innovation and nation-building.

Heartiest congratulations and best wishes to the founders and the entire team of GalaxEye.

@GalaxEye

[Hitesh Oberoi @hitobs]

My current mental model basis what I am seeing around me and at InfoEdge in all our verticals - Naukri, 99acres, Jeevansathi and Shiksha.

1) AI is fundamentally deflationary for businesses.

2) When the cost of intelligence drops toward zero, the cost of doing many things drops with it.

3) Everyone becomes more productive but no one stays differentiated for long.

4) The natural outcome? Price compression. Margin pressure, Commoditization.

5) We’ve seen this with the internet, cloud, SaaS. AI is doing it to cognition itself.

But this is only half the story.

6) AI is deflationary for existing markets
and expansionary for new ones

The big mistake

7) Using AI just to do the same things cheaper. That’s a race to the bottom.

8) The real question is, What becomes possible now that was previously impossible?

Three ways I see AI creating real advantage

1) Solving problems that were too expensive to solve or not solvable earlier

2) Serving customers who couldn’t be served before

3) Delivering experiences and quality that wasn’t possible to deliver before

In other words

Don’t just lower costs. Expand the market. Because when capabilities commoditise , value shifts to,

– Distribution and Customer Relationships
– Brand
– Trust
– Proprietary data
– Ecosystems

The winners in the AI era won’t be the most companies which are the most efficient.

They’ll be companies with the best imagination

[Bob Blackman @BobBlackman]

One year since the Pahalgam massacre, 26 innocent people were murdered by Lashkar-e-Taiba terrorists sponsored from Pakistan. The victims were identified by their religion and killed. Terrorism that targets people for their faith is an attack on all of humanity. #Pahalgam

[Narendra Modi @narendramodi]

Remembering the innocent lives lost in the gruesome Pahalgam terror attack on this day last year. They will never be forgotten. My thoughts are also with the bereaved families as they cope with this loss.

As a nation, we stand united in grief and resolve. India will never bow to any form of terror. The heinous designs of terrorists will never succeed.

[Darshan Mehta @darshanvmehta1]

While there is a bit of water crisis in Mumbai and tanker prices have been higher due to shortage...we as a society installed water meters in every flat almost a year ago...residents pay as per usage (over an allocated limit) and these meters signal leakages almost immediately which helps avoid water wastage...people realizing how much water they use has definitely helped reduce consumption over the months.....