Hope my founding team read this post! The bar to run a company is so high these days that you can't settle for anything mediocre!
Also, if you have a product market fit in 2021, consider yourself lucky and focus on scaling it. It is getting very difficult to find a niche where you can scale as you would in 2013.
This is the problem in many emerging economies in SE Asia. Just because many people are struggling to arrange their daily meals, Governments get into socialist mode and taxes anything which does not classify as bare necessity.
Sadly, it is a vicious loop and these economies are not modernizing enough at a rapid pace despite so much talent waiting for an opportunity.
If the tax money is spent on education, healthcare, and infrastructure such as communication/fiber and water, then it will only take one generation to go from: poor - have to work in order to eat, to poor - but have free time to learn coding without starving, then after 3 generations you might have gone to an information society without going through the industrial age. Unless other countries suck out all the bright minds.
Out of the box we are seeing accuracy between 60 and 80% but with training on 1000+ samples we can get in the 80 to 90% mark. With 5000 samples it can go beyond 95%.
Yes, Data Review Service is manual verification of the extracted data so that you get 100% accuracy and dont need to review yourself.
I agree with you 100% and if you analyze the comments on HN everytime Google decides to mess around with their IM, I have seen similar sentiment around Gtalk.
I was a regular user of Gtalk during college days 10 years ago and was pissed when they merge/transition them into hangouts.
It is a poor product management decision driven by Google's philosophy of capitalizing the next big trend in the internet industry ignoring the preferences of their users.
Honestly, we the lesser mortals do not know what goes behind the closed doors when cheques like $1.5 billion are written.
People said the same thing when Microsoft valued Facebook at $15 billion. Now, in the hindsight, it seems so funny that people frowned upon those valuations.
Power of having many consumers engaged on your platform is too much in digital age.
Came across this article just as my training model overfitted!
The type of AI that philosophers, media, government officials associate may not even come yet so much fuss and paranoia.