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PETER PADUKAM - THE LEGEND OF MADURAI MEENAKSHI TEMPLE AND A BRITISH COLLECTOR.

A British Collector named Rous Peter was appointed as Collector of Madurai from 1812 to 1828.

Though a Christian by faith, he respected all faiths including Hinduism and also honored local practice

Collector Peter was the temple administrator of the Meenakshi Amman Temple and conducted all his duties with sincerity and honesty and respected the religious sentiments of all people.

Collector Rous Peter respected and treated people of all faiths equally and this noble trait

earned him the popular nickname ‘Peter Pandian'

Goddess Meenakshi Amman Temple was situated between Collector Peter's residence and office.

Everyday he used to go to the office by his horse and while crossing the temple, he got down from his horse, removed the hat and his shoes

and crossed the whole path on his foot.

Through this small gesture he expressed his reverence to the Goddess!

One day there was a heavy downpour in Madurai city and River Vaigai was in spate.

Collector was sleeping in his residence and was suddenly disturbed and woken up by

the sound of anklets and he left his bed to find out from where the sound had came.

He saw a small girl wearing pattuvastrams (silk garments) and precious ornaments and addressing him as 'Peter come this way'.

Time for a Thread🧵On yesterday’s “F&O Pe Charcha - Diary Of An Option Seller” with @Mitesh_Engr by @Paytm Money

Why Gain/loss ratio is important that the batting average
• More than the Win Loss ratio check the total Gain /loss ratio
• If your avg loss is 1% and avg gain is +5% then even if you are losing in 7 positions and winning in 3 out of 10 still you will be net profitable

Treat Trading as a business:
• Stick to a single strategy. Eg: A restaurateur usually wouldn’t be changing his recipe on a daily basis
• Mitesh Sir only works on BO or BD strategy, as he is a versatile trader

• Any trader should atleast experience 3 scenarios i.e. bull, bear & consolidation
• Target 4% per month i.e. 48% p.a.
• Option buying requires skill, everyday there wont be huge momentum, so buying options won’t yield good results, but high chances of falling into a bad habit

Stock Selection:
• In F&O segment there are ~150 stocks
• Not everyday all stocks will move
• Only 5-7 stocks move upside or downside
• Focus only these momentum stocks
• Check which one is moving
• Range BO/BD never disappoints. BO/BD from a rectangle (consolidation)

Maker movement is doing to startups what startups did to corporations.

Here is why 👇

Startups fixed the problem of innovation, that corporations lack.

In big, slow corporations, innovation is a RISK and distraction from the core $$$ profitable business.

Agile startups could launch, iterate fast and eventually stumble upon new growing market opportunities.

However,

When a startup reaches product-market-fit, it has to 🚀 "grow at all costs" and reach market dominance before some giant corporation can replicate their new product and distribute it to their existing giant customer base.

Startup's "growth at all costs" often means growth at the expense of charging customers $$$ money.

Hence, to be sustainable, startups have to constantly chase investor money.

Startup teams spend more time finding and pleasing investors, than finding and pleasing customers.

95% of startups die because they run out of (investor) money + no business model + crazy investor expectations.

Same way corporations die, when unable to adjust to new technology and market shifts.

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.