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why do I hear boss music

WHO ARE VALAKHILYAS?

Valakhilyas are 60000 Rishis who are thumb-sized. They were born to Kratu and Kriya. Rig Veda says that they sprang from the hairs of Brahma.
They move in front of Surya dev’s chariot as Sun moves daily and
shine like brilliant lights due to severe tapasya.

Tamil literature says that the main task of Valakhilyas is to prevent human beings from being scorched. They absorb the excess heat from the sun by travelling in front of him. They, in turn, get energy from Skanda and Ma Durga. The food of Valakhilyas is only wind.
@SriRamya21

Once, Rishi Kashyap performed a yagna and invited all the Devas and Rishis to help him. Indra brought a whole mountain of trees for firewood. The Valakhilyas were hardly able to lift anything but leaves. Even when they were moving leaves, they fell into rain water puddles.

Indra made fun of them. So they cursed Indra saying that his slayer would be born as the son of Kashyapa. When Indra apologized, they modified the curse that the son shall be initially an enemy of Indra, but later will become his friend.

This son born later to Kashyapa was Garuda. He flew to Indraloka to get Amrita and defeated Indra.
Later, he restored amrit vessel to Indra and was honoured as the King of birds and as the mount of Sri Vishnu.
@JumbuTweeple @artist_rama

👇 Thread. New deck getting published this week: "Consumer startups are awesome, and here's what I'm looking to invest in at Andreessen Horowitz." If you want to read it, subscribe to my newsletter here: https://t.co/262t8eh0wf

1/ A lot of new consumer technologies have been introduced to US households in the last 100 years. But it's taken many of them - like the telephone - more than 50 years to get to the majority of the US. Why is that?

2/ We had to literally teach people how to use phone. Which end goes to your mouth, which goes to your ear. Say "hello" when people call. The motivation of consumers to talk to their friends has always been there, but we had to teach the behavior

3/ If you compare phones to the latest technologies, there's been a huge shift. Things are being picked up much faster.

4/ Even while there's been all this innovation recently, physically speaking, we are still the same human beings from 100,000 years ago.

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.