Easy scan. Stocks down the most in a week or a month. Both works.

Some people really benefit from hearing advice that everyone knows, for the same reason we keep schools open despite every subject in them having been taught before.

In that spirit, here's some quick Things Many People Find Too Obvious To Have Told You Already.

Your idea is not valuable, at all. All value is in the execution. You think you are an exception; you are not. You should not insist on an NDA to talk about it; nobody serious will engage in contract review over an idea, and this will mark you as clueless.

Technologists tend to severely underestimate the difficulty and expense of creating software, especially at companies which do not have fully staffed industry leading engineering teams ("because software is so easy there, amirite guys?")

Charge more. Charge more still. Go on.

The press is a lossy and biased compression of events in the actual world, and is singularly consumed with its own rituals, status games, and incentives. The news necessarily fails to capture almost everything which happened yesterday. What it says is important usually isn't.

Companies find it incredibly hard to reliably staff positions with hard-working generalists who operate autonomously and have high risk tolerances. This is not the modal employee, including at places which are justifiably proud of the skill/diligence/etc of their employees.

#Thread
An interesting story of Kamala Devi hazarika for all Sanatanis...🙏

A Xtian missionary was sent to Assam for the promotion of religion. His name was Cruz. He came across to one the boys from an influential family in Assam to teach him English.
@noconversion

Cont 👇

The p@stor slowly began to study the house and he learned that the boy's grandmother was the most influential person in the house. So he thought 'Corrupting the grandmother's mind can make the whole family Xtian as well as the whole village.

Cont 👇

The p@stor began to tell Grandma the stories of how J€$u$ cured leprosy of lepers, how He gave sight to the blind, etc..But after listening to him, the strong Sanatani grandmother said. A stone turned into a living woman (Ahalya) for our Rama when he touched the stone.

Cont 👇

She spoke of Rama setu where stones floated in sea just by writing his name on the stones and that they are still floating today.
The p@stor continued his efforts but all his tricks went in vain.

Cont 👇

One day he had brought a cake from the church and he thought of offering it to grandmother but he was doubtful that she would eat it. But contrary to his expectation, she took the cake and ate it.

Cont 👇

Panniyur Sri Varahamurthy Temple Palakkad, Kerala
#KeralaTemples 🚩

Panniyur Sri Varahamurthy Temple is located in Pattambi Taluk of Palakkad District. This is believed to be the first temple in Kerala, where Prathishta was done by Parasurama

Story says that, Parashurama after

Creating Kerala was doing Tapasya here. But he was disturbed as the land faced turbulence. Parashurama sought Narada’s help, who advised him to pray to Vishnu. Parashurama started praying Maha Vishnu. Finally Maha Vishnu appeared and told to do Prathishta of his Varaha Avatar.

As Earth is saved in Varaha Avatar, this temple is famous to solve land related issues.

Many people conduct Bhoomi puja here, which is very special here. They bring sand from around the temple which is used for pooja and then has to be returned to the same spot 👇

from where it was taken.
It is also believed that Perumthachan, the legedary craftsman has abandoned his tools here.
Om Shri Varaha Murthaye Namah
🙏🕉🙏

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.