Gematria for the Intergalactic StarGate 😇 https://t.co/vrs3Mj1BAp

1. #Qanon told us that Saudi Arabia is a central piece of the puzzle in taking out the Deep State...we are watching the Deep State attempt to remove Crown Prince MBS and disrupt Pres Trump's administration's ties with MBS and the "new" Saudi/US coalition. Early in his admin,

2....@Potus sent Jared Kushner (JK) to SA on an undisclosed trip and told King Salman that business as usual was over, and if he wanted Pres Trump's support, Prince Alwaleed would have to be divested of $ and power; Alwaleed is one of top Deep State $ men and was tied to HRC.

3. @Potus knew that before he could begin cleansing the US and the rest of the world of the DS, he would have to cut one of the financial head's off the snake (Alwaleed). After JK met w/ King Salman, Alwaleed was arrested and divested of billions; MBS became leader of SA.

4. SA loves Pres Trump because he's a man of his word; SA could not trust Hussein or Clintons because they use SA for oil and leverage; SA has many factions, but essentially you have the new and upcoming SA that is attempting to modernize through Crown Prince MBS, and then you

5...have the old guard represented by Alwaleed who was one of the Deep State financial heads and loyal to the DS more than SA; SA knew Hussein was financing Iran to hold western world hostage, and SA was caught in middle of Deep State black mail; this is why @Potus was celebrated

Here is the detailed information of about strategy,

Entry time : 9.30 - 10
Exit : Upto you

Strategy :
Sell weekly ATM CE & PE at almost equal price
For ex : Sell Nifty 17250 CE at 50 and Nifty 17250 PE at 48 so it will become short straddle

Buy monthly ATM or near ATM CE & PE at matching price (5-10 points diff should be fine) as hedge
For ex : Buy Nifty 17250 CE at 150 and Nifty 17300 PE at 155 so it will become long straddle.

Weekly Short straddle + Monthly Long straddle

Adjustment:

• If you feel slightly bullish/bearish then no adjustment needed
• If Nifty moves 50 up or down and sustain then just simply roll up or down half of qnty and keep rest of the quantity. If market goes up or down further then roll up or down rest.

• If Nifty moves one side or about to breach BEP then add equal amount of lot. This can balance tested side. For ex: If I bought 17300 CE 4 lot as hedge then add 4 lot so you will have only one side risk . Note: Remember to keep SL at cost price (only for additional lot bought)

Capital requirement:
2.2 L for 4 lot
Adjustment requires additional capital upto 1L

Note : High risk high reward strategy, please don’t execute until you fully understand. Kindly do paper trading or backtest.
RR : 1:1
POP : 45-55%

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)

THREAD: I'm looking at a Huawei P20 from China, let see what can I found

The 1st app I reversed is an app called Decision

Look at the name of the files contains in the assets folder:
- airport_china.txt
- city_china.txt
- cityinfo.db
- parkinglot_china.txt
- railwayinfo.db
- trainInfo.db
- trainstation.db

Interesting, no?

For example, the trainstation database contains:
- address
- name
- latitude
- longitude
- city

In the manifest of this application, there is a GeoReceiver

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.