#BHEL- Weak top & strong bottoms.

A thing which I unironically and enthusiastically believe which is unpopular among smart people of my acquaintance: financial engineering has in the recent past and present contributed substantially to human welfare. We should hope to see more of it.

Maybe more geeks need to meet someone who says “My job is teleporting value across time and space.”

Financial engineering is sort of a squishy term. I don’t primarily mean payments infrastructure or financial rails, although both of those involve substantial engineering.

I mean more “We took a thing and performed some alchemy, and now have a new thing.”

Except instead of alchemy it is generally quite a bit of math, a huge amount of contract law and due diligence, often an impressive amount of ops work, and a dusting of technology that web devs would recognize as such.

SRI KALAHASTI KSHETRAM, CHITTOOR (AP)
#bharatmandir

Panchbhootasthalam representing vayu element, also called Dakshin Kailasha.
As per Shiva’s boon, Vayu is incarnated here as Shiva and worshipped as Kalahasteeswara.
The kshetram is also associated with Rahu and Ketu.

The Kshetram is named after 3 devotees of Shiva- a snake, spider and elephant who worshipped a lingam in the forest. Elephant did jal abhishek with water from its trunk, spider protected it from dust by weaving a web on it and snake adorned it with his jewel.
@GunduHuDuGa

Once, the web and jewel got washed away when elephant sprayed water on the lingam. Angered snake entered elephant’s trunk and bit him but died in the process. The agitated elephant trampled the spider accidentally. Shiva gave moksha to all three.

Hence the name-Sri for Spider, kaal for snake n hasti for elephant.

Shiv bhakt Kanappa is said to have plucked his own eye to put it on the lingam here when he saw blood oozing from the eye on the lingam
This place is the ultimate location for Rahu Kethu Sarpa Dosha Nivarana.

MUST READ TILL END:
FB POST BY MR PRABEER BASU,
IAS-1976(BIHAR)
" Received a hurtful post from an old friend and colleague. He was on my daily Broadcast list of WhatsApp. He requested that I do not send him any of my posts on 'political' issues. I gave him a long explaination
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on why I write and what I write. But he was not convinced.

Being alerted by him thus, I felt I should clarify to all who read my posts on what exactly I think and do.

The charge against me is that I wrongly support our current Prime Minister, Shri Narendra Modi..
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and that it establishes I am not rational and impartial anymore.
Let me try and explain.First and foremost,I do not write on 'political' issues. I write on 'national' issues. For example, I have no opinion on whether Rahul Gandhi should be President of his party or not.
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Similarly, I have no views whether BJP is a better party than Congress or vice versa.
Even after 36 years in the IAS I have no MLA, MP or anyone involved in politics whom I can classify as my friend or even acquaintance.
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So, naturally I don't care which party wins or loses as long as the winning party runs an honest government doing good to my nation.
Now, why I speak in favour of Shri Modi:

1. Ever since the beginning of my service I realised that Planning Commission was not serving..

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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.

In 1937, a trucker got frustrated waiting for his cargo to be unloaded. He later sold his company for $1.1 billion.

Here’s the story of how Malcom McLean made a billion dollars and which startup could be following in his footsteps. (Inspired by our episode with @laurabehrenswu)

In the early 1950s, the shipping industry was a dying business.

New York’s docks were handling half as much domestic cargo in the early 1950s as they had been in the depressed 1930s.

In thirty years, no one had invested significant money in coastal shipping.

Why?

As McLean found out, loading ships was difficult and slow.

A truck or train would deliver items to the port. Each item was unloaded separately, recorded, and carried to storage.

When a ship was ready, each item was taken from storage, counted again, and hauled on-board.

The cost of this labor was significant. As one expert at the time explained:

“A four-thousand-mile voyage for a shipment might consume 50 percent of its costs in covering just the two ten-mile movements through two ports.”

Yet, despite the industry’s issues, it felt little pressure to change.

Foreigners were barred from operating domestically. Cartels ran international routes. And gov. subsidies eased the pain of labor costs.

Reshaping the industry needed an outsider.

Enter Malcolm McLean.