What a clarity in communication and leadership 🙌
My major reason being with #deepaknitrite.
Excellent interview of Deepak Nitrite's CEO Maulik Mehta and as usual great job by Neeraj @BloombergQuint

Sharing one incident... After Modi's Trichy youth conference, the very next morning when police were clearing up their mini-control room, they found 5 strange boys who were roaming there with bags. When police enquired them "Sir, we are from Subramaniapuram in Trichy.

Whatever political meeting or conference is held in this ground, we come here on the same night or morning hours to collect the Liquor bottles to sell in the scrap shop for 50 paisa to 1 rupee per bottle and we used to earn Rs 200 to Rs 400 on each such event.

Even in the last DMK meeting the very next day we collected around 1500 bottles. But for Modi's BJP meeting, we could not find even a single bottle in the whole ground. We are coming around and around and not a single bottle in any corner of the G Corner ground in Trichy,

we are much disappointed, sir!". Police seem were stunned and pleasantly surprised. This is what Modi magic does in this nation. Modi is the one who can lead our nation and make everyone prosper with hardwork in right direction and proper approach.

This funny but interesting anecdote was published by a statewide local daily Dinamalar. I have just translated and posting it here for rest of the nation;

I'm going to attempt to chronologically list all of the Marvel characters Stan Lee had a hand in creating. Working with his genius collaborators, Stan and his team produced an insane amount of iconic characters in a roughy ten year period. (Thread)

With his younger brother, writer Larry Lieber, and Jack "the King" Kirby:

Groot

Tales to Astonish #13 (November, 1960)

With writer Lieber, and artist Kirby:

Fin Fang Foom

Strange Tales #89 (October, 1961)

With the King, Stan gives birth to the Marvel Universe:

The Fantastic Four

Fantastic Four #1 (November, 1961)

With Jack Kirby:

Mister Fantastic

Fantastic Four #1 (November, 1961)

1/OK, I should really write another thread about university-centric regional development, because I think people often make some (very understandable) mistakes when thinking about this issue.

2/The biggest myth, I think, is that universities help regions by educating locals as undergraduates.

Skeptics of universities say: "But most of the people who graduate end up leaving."

3/In fact, most of what a university does for a regional economy is NOT about educating local kids.

Educating local kids is good for the nation, but doesn't help a region much.

The way a university helps a region is through

4/Undergraduates usually leave town after graduation.

But university RESEARCH pulls in OTHER smart people from other regions, and they stay there.

Here's a paper showing that this is the main way universities increase a region's human capital:

5/Research also pulls in business investment.

Companies want to partner with university labs, so they can commercialize the technologies the labs produce. So they invest in the labs, and sometimes they even put their offices in the town.

1 There's a chasm between an NLP technology that works well in the research lab and something that works for applications that real people use. This was eye-opening when I started my career, and every time I talk to an NLP engineer at @textio, it continues to strike me even now.

2 Research conditions are theoretical and/or idealized. A huge problem for so-called NLP or AI startups with highly credentialed academic founders is that they bring limited knowledge of what it takes to build real products outside the lab.

3 A product is ultimately a thing that people pay for - not just cool technology or user experience. But I’m not even talking about knowledge gaps in go-to-market work. I'm talking purely technical gaps: how you go from science project to performant + delightful user experience.

4 Most commoditized NLP packages solve well-understood problems in standard ways that sacrifice either precision or performance. In a research lab, this is not usually a hard trade-off; in general, no one is using what you make, so performance is less important than precision.

5 In software, when you’re making something for real people to use, these tradeoffs are a big deal. Especially if you’re asking those people to pay for what you’ve made (can’t get away from that pesky GTM thinking). They expect quality, which includes precision AND performance.