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01/06/2021 Riot decode via Youtube/Twitch

Symbolism comms allow hiding messages in plain sight, classified data updates, or signals to coordinate crimes.

e.g. I decoded a song that implied Mi6 + CIA used the Radio to coordinate the removal of JFK.

Did you know?

Rani Bhabani was the Queen of Natore, Bengal or 'Natorer Rani' as she was famously called. She made great contributions in Tarapith & renovated Benaras.

In Varanasi, Durga Kund Mandir was constructed by Rani Bhabani in the 18th century.

Born in Chhatimgram village, Bogra District,Her father's name was Atmaram Choudhury.Bhabani was married off to Raja Ramkanta Moitra,the then zamindar of Rajshahi.After his death, Bhabani became the zamindar, and started being referred to as Rani.She was known as Ardhabangeshwari.

A woman as a zamindar was extremely rare in those days, but Rani Bhabani managed the vast Rajshahi zamindari most efficiently and effectively for over four decades.
Maharani Bhavani was very pious in her personal life. She passed her life in a strict disciplined way.

She conducted the administrative work skillfully. As a Maharani she was an impartial judge. Rani Bhavani had a very hard time during the fag end of her life. The Zamindari (estate) incurred serious loss due to the change of the revenue policy of the company.

In spite of being the owner of a large Zamindari (estate), she had to depend on the stipend of the government in the later part of her life. The amount of this stipend gradually decreased and became Rs. 1000/- only in the end.

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.

(THREAD) The Whitaker scandal is deepening, as it becomes clear that Sessions' Russia recusal was a coordinated sham and his firing an act of obstruction—and that his replacement is a White House plant inside the Mueller probe. I hope you'll retweet and read on for more details.

1/ From 2014-17 Whitaker worked for World Patent Marketing—which during his tenure defrauded consumers out of $26 million and was successfully prosecuted by the feds. His involvement in the scam confirmed he had loose morals and that the feds would never want to employ him again.

2/ Despite the seeming impossibility of a man with Whitaker's background getting a job at Justice ever again—he'd been found to have used his former title as a US attorney to fraudulently threaten consumers with valid complaints with criminal penalties—Whitaker found an opening.

3/ Within 60 days of parachuting out of World Patent Marketing as it was being fined $26 million by the feds, Whitaker was working for CNN and telling a fellow attorney panelist that his purpose in working for CNN was to get noticed by one man—Donald Trump—and thereby get a job.

4/ Whitaker spent his time at CNN making ludicrous statements about the Mueller probe: there was no obstruction or collusion, he said; Mueller had no authority to look into any aspect of Trump's finances or to subpoena him, he said. All the while, he hoped Trump was watching him.

1) Core attributes of a promising founder worth following:
- Progress/trajectory over time
- How well they lead a team &
- Make the vision happen
- Most impressed when someone is way ahead of where you thought they would be when you check up/see them a few months later.

2) Indie Makers have such a benefit of being small, fast, nimble workers in comparison to big companies.

We can easily pivot and vastly change a project of ours. We can change as we learn more about our users.

Big companies can take months/years for even the smallest of pivots.

3) Before you find a product market you can pivot your project as many times as necessary until you find something that works.

Then you only have one thing to do: scale, scale, scale.

4) Be obsessed with the little details.
- listen to every single person who uses your product
- reply to every single person who emails you about your product
- ask them what they like and do not like
- iterate your product, make changes, pivot if necessary

5) Paul Graham's (@paulg) name came up with a feeling of great admiration! Naturally! It was Paul who said:

In the early stages of a company just;
- write code
- talk/sell to customers to stress test your idea

Nothing else.