Trading is very simple if you cut down steps. Let me explain my trading style. Every month i have target of collect 1000 points in bank nifty with capital of 10L . So every week i should collect of 250 points . I will invest 50% in bank bees ETF and pledge that money.

👇 Thread. New deck getting published this week: "Consumer startups are awesome, and here's what I'm looking to invest in at Andreessen Horowitz." If you want to read it, subscribe to my newsletter here: https://t.co/262t8eh0wf

1/ A lot of new consumer technologies have been introduced to US households in the last 100 years. But it's taken many of them - like the telephone - more than 50 years to get to the majority of the US. Why is that?

2/ We had to literally teach people how to use phone. Which end goes to your mouth, which goes to your ear. Say "hello" when people call. The motivation of consumers to talk to their friends has always been there, but we had to teach the behavior

3/ If you compare phones to the latest technologies, there's been a huge shift. Things are being picked up much faster.

4/ Even while there's been all this innovation recently, physically speaking, we are still the same human beings from 100,000 years ago.

So, you’re a writer and you’re worried about writing outside your immediate experiences and identities.

Here is the thread of practical advice for you.

EXAMINE YOUR MOTIVES. Why do you want to write this?

Are you trying to solve racism/sexism/colonialism with your work?

As writers we love stories about heroic writers whose work has changed the world. And as such we like to look to our own writing to solve societal problems.

And I understand this completely, not the least because I’ve felt the pull.

But if you’re looking to play saviour with your words, it is unlikely that you will do the marginalised people you are trying to save justice.

And I understand this very often comes from place of good intentions, but there is a reason that most of the moralising plays written by white abolitionists are deeply uncomfortable to read.

It is incredibly easy for works looking to play saviour to become patronising or traffic in simplistic stereotypes that ultimately hurt the people they are looking to rescue.

Best resort on the Ganga at Rishikesh

Observing the public conversation around FB, and the private ones happening among techies and ex-FBers, I think the mutual misunderstanding is worse than when I set out two years (and 500 pages) ago to (in a small way) bridge that gulf.

We're basically fucked.

The tech world has gotten so huge, self-reinforcing, and insulated from reality they can no longer even vaguely look at themselves (and their actions) as others do. They just live on a different planet than most people.

Conversely, the average tech consumer doesn't understand the technology that has slowly taken over their lives, and their designated emissaries to figure it out--politicians, pundits, regulators, journalists--understand it barely better than they do, and have their own agendas.

To say more than generalities for a moment, here's what I think is likely the core problem.

Techies take weird, improbable visions, and make them realities: some BS pitch deck to a VC, mixed with money and people, really does turn into some novel thing.

Most people work inside a legacy industry that's evolved that way over time (usually for good reasons), and they think about the future via some analogy with their present (which is a function of a long-ago past). The interruption that tech will introduce is often hard to grasp.

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.