1.) Here’s the transcript: Coincidence it is “18” screenshots to capture? I think not!💥🇺🇸💥🇺🇸💥 https://t.co/wrfqjjW6hw

On December 25 Mr Pool retweeted August 16 message about the Phoenix and that the worst was still on the horizon to come. 1/*

Maybe now we can assume that November 3 message meant "FUD" nor "FUN". Putting the word in capital letters seems to indicate the aspect the word fud has in our space, FUD. 2/*

Brad started it on December 22 (1/3 posts (Don't say? Sure) = 13 = Plan B). 3/*

And immediately the SEC followed dropping the bomb (1.3 billions (Don't say? Sure) = 13 = Plan B). 4/*

FUD materializes, Bitstamp is one of the first that haltes XRP trading and so on. 5/*

"The MAD Primer of Bigots, Extremists and Other Loose Ends," from September 1969.

Seen a couple of these panels make the rounds from time to time, so here's the complete set of 10 (something to amuse and/or offend almost everyone).

Chapter 1: The Super Patriot

Chapter 2: The Ku Klux Klansman

Chapter 3: The American Student

Chapter 4: The Right-Wing Extremist

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.

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...