Okay, so this is the first ‘tech’ post I’m publishing after a super long time. The last time I published an in-depth ‘tech’ post was this one, almost a year back, in September 2016, which is an absolute shame because I am, after all, a CS undergrad!
Anyway, without further ado, let me jump straight in…
So, I was just lazing around on YouTube, looking for stuff to sedate my synapses with, and I managed to land on this video — the Jobs and Gates interview back in ‘oh-so-far-away’ year of 2007.
The most striking thing about the interview, aside from the historic convergence of two of the most brilliant minds in tech industry (veterans, if you will), was their predictions for the next decade. And, since I was sitting in the year 2017, I had to absolute luxury of critiquing their predictions in hindsight.
One thing stood out during for me out of the entire interview, that was the part where they talk about A.I. (Bill especially goes deeper into the topic than Steve). Although the discussion was still mostly focused on the form-factor of the future devices, it was fascinating to hear about these visionaries’ foresight into the A.I. and the industry in general, especially in the hindsight.
So that got me thinking…
I mean, we keep hearing about A.I. all the fucking time in the news. Everyone’s talking about it. I’ve heard people talking about it in libraries, offices, public transportation and even in fucking washrooms (so, what if an A.I. could automatically flush down my poop once it detects that my bowels are empty). There’s like an A.I. article published by nearly by every major newspaper at least once a month, conveniently timing it with some random ass statement of the ‘ultra-rad’ Elon Musk on the state of A.I.s’ in general.
But, how much do we really know about A.I.?!
I suppose not much. Most of the KNAWLEDGE on A.I. is generally sourced from NEWS ARTICLES (even for me, as a CS undergrad, which is a shame). And news articles are mostly written by journalism and liberal arts majors who aren’t exactly great with things involving technology, and I bet half of them don’t even understand at the depth necessary to appreciate it. And I’m not the only one saying it.
So yeah, in order to understand the state of the A.I. industry and academia, I hit up the A.I. research pages of major tech firms, and I WAS BLOWN AWAY BY THE RAPID ADVANCEMENT. For instance:
- Facebook’s pouring in MASSIVE amounts of $s’ into it’s A.I. research program christened ‘Facebook A.I. Research (FAIR)’ which in all fairness (pun intended) sounds like a pretty good name. Their mission statement talks about using A.I. to make the world ‘more connected’. Check out this piece talking about their research on advancing their A.I.’s vision game.
- Google’s making insane advances in the field of A.I. (which is not surprising). I mean, their depth of research could very well span over a couple dozen pages. They are researching on applying A.I. on everything from Self-driving cars to Personalized assistant (aka yo’ Google assistant on 7.0.x and above), to augmented reality. And in fact, you can INTERACT with one of their A.I. right from the device you’re reading this on, RIGHT NOW. Check out ‘Quick, Draw!’, a game where a supervised A.I. predicts what you’re trying to draw based on previous data sets. It’s cool.
- Tesla’s been gathering a SHIT-TONNE of data from it’s massive fleet of Models’ S, 3 and X (S3X for short) and that in-turn has made it’s ‘Autopilot’ A.I. incredible better. It’s now almost as good as a human driver, and as the time goes on, it’s probabilistic rate of crash is only going to decrease exponentially. I mean, check out this video and see for yourself.
- SpaceX has been making steady progress on landing their first stage booster on the droneship over the past couple years now, ever since their first propulsive landing on LZ-1 on that historic day in December 2015 [I watched it live :’)]. And if you want to see the progress for yourself, I think a good place to start would be THIS video which essentially is a montage of all the ‘failed’ landing attempts that culminated in the success of Dec 2015 mission (Orbcomm OG-2). That’s probably the best and observable example of Machine Learning at work.
And much much more… I haven’t even mentioned Microsoft’s expansive A.I. division yet, or even Amazon’s. You get my point. This is one of the most exciting fields out there, no question; Companies know it. Investors know it.
Anyway, it’s almost 2:00am here in New Delhi and it looks like I might have to end this abruptly, but my point is that A.I. has been so intertwined in our lives that we’re starting to take it for granted.
I think we should sometimes take a step back and try reading up on the latest academic papers/publications in the field. Most of them will blow your mind for sure.
And of course, Media and pop-culture in general aren’t exactly the best guide for understanding A.I. There’s so much stuff that’s happening, and most of them behind closed doors that we, the average Joes’ will never get to see, until we seek.
Until next time.
P. S. Working on a super long article, and will most probably go live in a couple week-ish! ❤