GalaxySufactants : 3178 - Bappa Pick !!
Darvas would have loved this 16 week box within 8% price range fundawise recently HUL hiked detergent prices and GS being its source makes a strong case for re rating
..Action starts with close above 3200 with volume
🙏🙏🙏

Rani Chennamma of Kittur was one of the first women rulers of India who fought against the might of the British Empire in 1824. Rani Chennamma was born in 1778 in a small village of Kakati in Belgaon distt of the State of Karnataka.

She was born into the Lingayat Community to a man named Dhulappa Desai. From a very young age she was trained in horse riding,sword fighting, archery and diplomacy. At a very young age of 15 yrs, she was married to the King of Kittur and became the Queen of Kittur.

It is said that King of Kittur Mallasarja was once moving around in the neighbouring kingdoms to find support to fight Tipu Sultan. It is then, when he came across Chennamma and he immediately got attracted to her sheer confidence and bravery.

Rani Chennamma and King Mallasarja had a son together who died very soon after the death of King Mallasarja in 1816. As the Queen of Kittur, Rani Chennamma immediately adopted Shivalingappa as her son and declared him the heir to the throne of Kittur.

This did not go well with the British East India Company who was enforcing the Doctrine of Lapse those days, according to which the adopted children of the Indian rulers were not allowed to become their heirs and if the native rulers did not have children of their own, their...

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.

One thing that goes unremarked about Wikipedia: the vast majority of the content was written over 12 years ago—which means (given turnover) that the editors dominant today were not directly involved in that creation.

Put another way, the editors who built the dominant nodes in this network...

...have little overlap with the ones who made this much more recent managerial flowchart.

Internet time runs at hundred-fold speed—the difference between the people who painted what's in the Uffizi, and the people in charge of keeping those paintings from deteriorating. Very different tasks, and (one presumes) very personalities as well. @PaulSkallas?

1/ Productivity tip: when I keep procrastinating on something I often trick myself by saying, "ok just work on it for the next 20 minutes" or some short period of time, "and then you can chill/relax guilt free" and give myself some treat (sugar, netflix, etc)

2/ Usually at the 20 minute mark (sometimes I set a timer) I'm so engrossed in what I'm doing that I don't want want to stop and end up working on it for the next hour or two. But getting started seems to be the hardest part.

3/ Key to this: you have to actually be ok with stopping after 20 minutes and being guilt free if that's how you feel. So it's not a trick, i have the option every time, I just often don't want to use it once i'm in the zone.

So, today, for the first time in 25 (!) years of Apple, I downgraded. From the 2016 MacBook Pro to my 2013, which I had kept in a drawer...

It was pretty simple to do—Apple Time Machine backups let me do it with one click.

That first tweet captures, in two pictures, how badly Apple has “lost the plot” (to quote @wylieprof). On the right is the Apple MagSafe adapter, from 2013. On the left, what I had “upgraded” to.

Thanks, Apple! I really was nostalgic for worrying about yanking my computer off the table.

Oh and I really appreciated not knowing if my computer was charging. What was great was the little whoop sound you used, so that the speaker before me could be informed I was charging my laptop.