these low-volume pullbacks after the breakout are a common occurrence. However, what is more, important is the stock's reaction after a pullback. It must bounce back within a few sessions strongly to scale up the size.

Tata Elxsi https://t.co/HGCzOz1ALI

If you know me, you know I don't like broadcasting details about my personal life on this website, but I have been getting asked why I'm not doing Christmas this year so I just wanna put this whole mess to bed. First of all, I don't agree with gay marriage... (1 of 4,625)

... full of dog food and she said, "I'm pretending this is ice cream! Treat me like a baby!" and proceeded to hump her own arm and I thought, "something tells me this isn't the real Norah Jones"... (117 of 4,625)

...cost me $7,000. I had to put it on two separate credit cards! It wasn't 'til I got to my car that I realized "that's way too expensive for one onion." But I didn't have time. Amanda Seyfried was begging to change my diaper... (1,001 of 4,625)

...another Christmas miracle. Mistletoe, stockings, sleigh bells, snow! All these things I have put up my ass. The taste of coffee... (2,974 of 4,625)

...I felt a *very* cold finger on my cheek and I turned around and I said, "Grandma?" and she goes, "Surprise, I'm alive and I work at Sears!" I said, "okay"... (3,047 of 4,625)

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.

Did you know?

When Saudi Arabia's King visited India in 1955, PM Nehru ordered all the Hindu Temples and Idols of Hindu Deities that came in Saudi King's way to be covered up.
Our temples are the architectural marvels in their own league.

Each of our temples tells the story of our rich history and cultural heritage. Was Nehru that ashamed of his own nation's heritage that he had to cover them up or there was some other reason? The answer would be best known to him only.

PM Nehru invited the then Saudi King Saud bin Abdul Aziz to India who accepted the invitation and planned a 17 day long official visit to India in 1955. Saudi King had brought a large delegation with him and he had to visit various Indian cities like Mumbai, Hyderabad, Agra,

Aligarh, Shimla, Mysore and Varanasi. However, when Saudi King reached Varanasi, Nehru ordered to cover all the temples and Idols with curtains that came in the way of the Royal Convoy. During his stay in Varanasi, Govt buildings were painted with the words "Kalma Tayyiba".

'Kalma Tayyiba' means 'There is not God but only Allah and Mohammed is his messenger'. In addition to it, Pooja and Aartis were also stopped at temples. I can call it the appeasement politics of the highest order and Nehru was indeed the greatest appeaser of all times.