1. Going with a space/alien narrative today. I've put a thread together on the topic based off my favorite Patreon/ YT @ShowCasanova & "V". If you have never heard any of their discussions, you are missing out!

EVOLUTION OF CROWNS

The ancient Indian kings called a head crown as a Mukut and it would mostly constitute of a golden ornamental headgear like an oval cap with gems.

Sometimes it would also include a halo circle to show the divinity of the king

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As it was considered that kings were appointment by the gods themselves. Example the kings of mewar considered themselves to be the ‘Diwan of eklingji')

But in most cases very few Mukut with halo effect have been found.

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Samudragupta in the gupta era coin. You can see the helmet like headwear on him.

Till gupta era the solid golden head wear was used in most days of the monarch.

But since the onset of 8th century it reduced in usage and was now used only as a ceremonial headwear.

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Whereas earlier the Maharaja had to wear the mukut whenever his court was in session.

Still mukut was being used prominently for ceremonial activities till recent times.

Maharaj Dahir of Sindh👇

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But as times past the style of headwear also changed.

The kings mostly wore turbans ordained with pearls and gems while rarely anyone wore a true Mukut after 16th century.

Portrait of Sri Krishna Dev Raya👇

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Can we control the output of neural generation systems?
Can we build a better chatbot using this control?
And what makes a good conversation anyway?

Check out the blog post for our NAACL paper:

https://t.co/UAAUxSeA0L

#AI #NLProc #DeepLearning #ConversationalAI @facebookai

This post got a little delayed since the paper's publication, but the intervening time has given me an opportunity to reflect.

So this post has some extra thoughts regarding more recent NLG developments - e.g., pretrained models like GPT(2), and the suitability of beam search.

1. We were informed that Tier 4B (us, the Internet Group) would receive 800# notification on Wed. 16 Dec. (A Shotgun Release of liquidity started on Mon. 14 Dec.).

Redemption Center personnel were scheduled to work for the next nine days from 8:30 am to 8:30 pm until...

2. ... Dec. 24, when they would close at 5:30 pm.

The general public would begin exchanging at the new International Rates on the first banking business day after the Christmas Holiday.

A. The RV, NESARA, GESARA, Restored Republic and Martial Law

3. According to Charlie Ward we began the Ten Days of Darkness on Tues. 15 Dec. The Ten Days would finish Dec. 24 Christmas Eve with the US going into NESARA and then the rest of the world would go straight into GESARA on 1 Jan. 2021.

4. Every single country and territory has agreed to GESARA. The UK government corporation was liquidated in Oct. last year and it was finalized last week. France has started breaking up their Parliament. Everything needed for implementation of NESARA/GESARA was finished.

5. Trump’s Christmas present: In a recent Executive Order President Trump declared that all government agencies (except for essential ones) permanently close on Dec. 24 2020. Trump had that authority since we were already under Martial Law (the US had been functioning under...

Andy McCabe has some explaining to do.

Andrew McCabe was reported to the FBI’s Office of Public Affairs for making an unauthorized leak of classified info to the media about @GenFlynn in early February 2017.

If you’ve wondered exactly who it was who leaked the classified info from that intelligence report on @GenFlynn’s phone calls with then-Russian ambassador Kislyak to the media, you are right now seeing a huge honking clue who it was.

To those responding to this info by sneering "Nothing's gonna happen":

Up.

Your.

Game.

You just might be too stupid to be following me.

The then-Deputy Director of the FBI get's caught targeting @GenFlynn with an illegal leak so he can 'investigated' by Peter Strzok?

Now that we know it was McCabe who set up Flynn for a fake 'perjury' investigation by his pet attack dog, Peter Strzok, the next name that's going to surface is...Joseph Pientka.

Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ

The paper is a good example of lots of elements of good experimental design. They validate their metric by showing lots of variants give consistent results. They tune hyperparamters separately for each condition, check that optimum isn't at the endpoints, and measure sensitivity.

They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

Importantly, they don't find any evidence for a "sharp/flat optima" effect whereby better optimization leads to worse final results. They have a good discussion of experimental artifacts/confounds in past papers where such effects were reported.