https://t.co/DufJbAgG7J

Hello Dear Tweeples!

It’s Siddhars time of the week! Last week I shared story of Guru (Machamuni or Yogi Matsyendranath), this week I bring you information on his Shishya.

#Thread on Gorakanathar Siddhar.

@LostTemple7

His origin story is interesting, though I couldn’t verify it’s authenticity, so not sharing the story here. He’s shishya of Machamuni Siddhar and also learnt from Agasthiya Siddhar.

@HelloNNewman @RajiIndustani @Kishoreciyer1

Unlike other Siddhars, he is depicted as either with a Tiger or seated & wearing Tiger skin. While I couldn’t find any explanation for this. My interpretation is as follows:

Tiger is a predator that lurks around and attacks unexpectedly.

Our 5 indriyas and 5 vikitis also similar to Tiger, they lurk around and attacks our thoughts when we’re least expecting. Gorakkar is said to have mastered these aspects, thus to denote this, he shown with Tiger.

@Itishree001 @VarierSangitha @jananisampath

Gorakanathar or Gorakshnath (as he’s known in the Nath Sampraday) is celebrated Guru in both Northern and Southern part of India. He’s one of the NavNath in Nath Sampraday and also 18 Siddhars of Tamil tradition. During his life, he’s travelled Indian subcontinent extensively +

1/ Someone emailed me asking how to break into VC, so I wanted to answer on Twitter where others could see and contribute to the conversation.

2/ “Being a VC” can mean a lot of different things, so it’s worth asking:

What actual activities do you want to do?

- Deep market analysis?
- Be in the flow of information and people?
- Make deals?
- Work closely w/ founders over time (e.g take board seats?)
- Manage capital?

3/ It’s worth specifying what type of VC you might like to become — as there are different archetypes. E.g.

- Benchmark (Lead series A/B - couple investments a year)
- First Round (Lead seed rounds, partner w/ a few companies a year)
- SV Angel (Make lots of seed investments)

4/ Continued:

Expa - Incubate companies

YC / Village Global - Build a platform to help entrepreneurs at scale

Do you want to join a firm or start one? There’s a lot to consider.

Different paths will require different skillsets & sets of experiences.

5/ Since the person who wrote the email is a young person trying to break into VC by joining a firm (and who doesn’t want to start a company), I’ll tailor this tweet storm to that goal. There’s some overlap.

Most software founders, particularly in B2B, need to get radically better at sales. @Steli , who is the best person for explaining the scrappy stages in the beginning and then building out a team with scripts and processes, wrote a guide to:

For technical founders it is irrationally, obscenely hard to reverse years of programming (ba dum bum) that sales is a value-destroying activity. Sales is CLEARLY a value-creating activity, contingent on you have a value-creating product.

The world will not drop what they are doing to adopt your work. This is particularly true in B2B, where simply building a better mousetrap won't overcome the activation energy required to get people with additional non-mice problems to prioritize changing mousetraps today.

This is very non-obvious for founders because founders are not often people who *want* to be sold to. We often come from a background where trying out tools is a bit of a fun hobby. We like looking at all the options, making charts, and ripping out partially complete tests.

"This week I unsuccessfully trialed four software options for automating that thing that has been killing us. Our actual production process remains the same as last week. Don't worry; this was a great use of time." is not a thing you want to write in a progress report to manager.

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.