Oil, copper and other commodities came under heavy selling pressure today and that's a good thing because it's mounting evidence that inflation may be peaking.

Hello Dear Tweeples!

It’s Siddhars time of the week! Last week I shared story of Guru (Machamuni or Yogi Matsyendranath), this week I bring you information on his Shishya.

#Thread on Gorakanathar Siddhar.

@LostTemple7

His origin story is interesting, though I couldn’t verify it’s authenticity, so not sharing the story here. He’s shishya of Machamuni Siddhar and also learnt from Agasthiya Siddhar.

@HelloNNewman @RajiIndustani @Kishoreciyer1

Unlike other Siddhars, he is depicted as either with a Tiger or seated & wearing Tiger skin. While I couldn’t find any explanation for this. My interpretation is as follows:

Tiger is a predator that lurks around and attacks unexpectedly.

Our 5 indriyas and 5 vikitis also similar to Tiger, they lurk around and attacks our thoughts when we’re least expecting. Gorakkar is said to have mastered these aspects, thus to denote this, he shown with Tiger.

@Itishree001 @VarierSangitha @jananisampath

Gorakanathar or Gorakshnath (as he’s known in the Nath Sampraday) is celebrated Guru in both Northern and Southern part of India. He’s one of the NavNath in Nath Sampraday and also 18 Siddhars of Tamil tradition. During his life, he’s travelled Indian subcontinent extensively +

DODDA GANAPATHI, BENGALURU
#karnatakatemples

Dodda in Kannada means big. Sri Ganesha here is 18 ft tall in height and 16 ft wide. Dodda Ganesha is also known as Shakthi Ganapathi and Satya Ganapathi.

It is said that Kempe Gowda, the founder of Bengaluru, saw a rock here.

The rock had engravings of Ganesha. His sculptors cut the Ganesha murti from that single rock. Later, a shrine was built around the Ganesh murti.

It is believed that Dodda Ganapathi is the protector of Bengaluru. All auspicious events start by praying to Him.

Benne Alankara is the most famous festival here when about 100 kg of butter is coated over Ganapathi every four years and the rich prasad is offered to the worshippers.

Ganesha is also covered in cream colour and is decorated with golden laces and buttons
@GampaSD

The Dodda Ganapathi murti is believed to be still growing in size, especially towards right.

The weavers from old Bengaluru tie a coconut to their looms before starting work. When the work is completed, they break 100 coconuts here along with the one tied on the loom.

It’s underremarked upon that stablecoins accomplish basically all of the original design goals for Bitcoin qua a transactional mechanism (instant free value transfer anywhere), but that nobody cares about this because nobody ever cared about that part of the pitch.

“Why do people care about stablecoins then?”

A mix of “they encourage dollar-denominated liquidity in the cryptocurrency ecosystem and discourage withdrawal of the same” and “they’re good for money laundering.”

“But they make value transfer between exchanges much faster!”

This was a solved problem in traditional finance, too, mostly through the extension of credit. (It doesn’t matter how long settlement takes if there is sufficient trust to enable credit.)

The Bitcoin ecosystem is *positively allergic* to credit, so you have to call it a coin for them to accept it. And after you call it a coin they ignore everything the world has learned about credit, like risk management.

“Stablecoins aren’t credit!”

They’re pretty much exactly credit? A tether is a zero-coupon Bitfinex bond with a non-functioning call option. I

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.