Artificial intelligence still has some way to go

that too
anyway caek otm

The most interesting thing to me here is how well the conversation flows, despite the non-sequitors every second or third response. These bots are starting to reflect how humans engage in non-sequitors while conversing.

idk after watching for a bit these seem more or less like the markov chain bots people have been running in irc chatrooms for ages. not sure there's any fancy machine learning going on here

pretty sure i've figured it out now, its Cleverbot or something similar to that and they take the voice chat as input rather than the text so sometimes they mishear things.

yeah, they are running a chat bot program on there, it's not the default google response :/

Well, yeah... did anybody think otherwise? I'm really confused as to what people think is new here!

https://www.youtube.com/watch?v=WnzlbyTZsQY

https://www.youtube.com/watch?v=JsCoZb081vQ

it's a new device and it's on twitch, that's about it

One thing I find interesting is that every time I watch, all the commenters gender Estragon as female. Both bots have gendered themselves as different genders over time, and both have male names. Though I guess not many people would know the name 'Estragon' unless they're Beckett fans, maybe they think it's like oestrogen or something.

Don't these all work in the same way, ie by taking stored conversations from humans v chatbots and using those responses? Seems fairly straight forward, but still funny imo.

um, isn't it as simple as Estragon having a female voice?

Oh, ha, that's fair enough - I have the sound off so didn't get that.

lol

The most interesting thing to me here is how well the conversation flows, despite the non-sequitors every second or third response. These bots are starting to reflect how humans engage in non-sequitors while conversing.

― a little too mature to be cute (Aimless), Saturday, January 7, 2017 2:18 PM (three hours ago) Bookmark Flag Post Permalink

https://en.wikipedia.org/wiki/Pareidolia

First Skynet came for the cynics, and I said nothing...

you rang?

They're doing a who's on first routine right now!

http://s.mlkshk-cdn.com/r/1ARA1

Don't these all work in the same way, ie by taking stored conversations from humans v chatbots and using those responses? Seems fairly straight forward, but still funny imo.

― Ste, Saturday, January 7, 2017 3:12 PM (yesterday) Bookmark Flag Post Permalink

thats why they spend so much time talking about 'favorite ____' since thats kinda level 1 conversation that people try w/ bots

So at some point maybe humans will learn how to be less boring and predictable in chat, and then bots will finally be able to take over?

thepandamystery was so much better

What if we could get two teams of humans pretending to be AIs to chat with each other?

Brb have to write terrible novelette

too late. i spent a lot of time on one of those back in high school:

https://en.wikipedia.org/wiki/Q%26A_website#Forum_2010

Wait, I linked to the wrong thing. Forum 2000 (forum200.org) was, for you younglings, "a front end to a sophisticated expert system incorporating the latest breakthroughs in natural language and neural network research", providing a group of AI simulations of various celebrities to answer your most pressing questions. It was also a hilarious, four-year hoax.

http://andrej.com/quadratic.html

I was recently invited to meet with 3ric Schm1dt to talk about my lab’s work. * We spent some talking about DeepMind’s work on AlphaGo.

While reinforcement learning was responsible for AlphaGo’s success, he bemoaned that press and researchers alike for overlooking the critical role expert systems and planning performed. He claimed expert system-like rules were used to keep the system from searching branches where complexity outweighed usefulness

Likewise, I saw a presentation by C4r0l1na W4h1by. While her work is rooted in classical computer vision (e.g. discovering useful shape and texture features), her presentation was about her recent work building neural networks for image segmentation problems.

Instead of training her network with images and annotations, she paired images with pre-computed features (e.g. Histogram of Oriented Gradients or a response from a Gabor filter) she knew improves segmentation or performance. If you think about it, she built an inverse expert system. While she wrote rules for pre-processing, she relied on the network for processing. It worked well.

* If you’re curious, I assumed he’d meet with dozens of researchers, but there were six of us. It was a brag-worthy experience. I was surprised he was familiar with the state-of-the-art in my fields (I, like most of my colleagues, are usually behind because we’re focused on discrete problems and can’t stay informed about everything), and his advice was super valuable. In fact, one piece of advice convinced me to change course in a project that was already underway.

did you ask him why the killed google reader?

nah seriously very cool! i'm starting a project on interpretability right now and yes, all roads lead to expert sysems.

i have been doing mostly probabilistic programming recently though, and it has been wonderful not to think about neural networks.

One of you please move to Seattle and then hire me

Did anyone see the show with Mia out of Humans where they made an AI bot of her, and then got people to interview her via Skype? Some people were fooled! It was quite odd. They are getting closer to undoing that uncanny valley thing with facial expressions.

One of you please move to Seattle and then hire me

I TRIED TO HIRE YOU

I know :( I shoulda followed through on that if only to get to talk

work is better now than it was then tho and also we're…probably not going to abruptly run out of money again for a couple years

https://www.youtube.com/watch?v=lfdrQL5Ff-A

lol @ these people https://openreview.net/forum?id=BkjLkSqxg

I like the conspiracy angle -- you don't like our ideas because other people on social media said bad things about them!

lots of people thing apples are good, you like apples, therefore you must have talked to lots of people

is that somewhere on https://en.wikipedia.org/wiki/List_of_fallacies

it's very close to gamerg4te logic -- you think it's weird that this game only has women in bikinis or in non-speaking parts, and reviewed it lower because of it, so obviously you're in league with a vast online conspiracy

got into a youtube hole of watching AIs play video games the other day after skimming this overly technical blog post:

https://srconstantin.wordpress.com/2017/01/28/performance-trends-in-ai/

Interestingly enough, here’s a video of a computer playing Breakout:

https://www.youtube.com/watch?v=UXgU37PrIFM

It obviously doesn’t “know” the law of reflection as a principle, or it would place the bar near where the ball will eventually land, and it doesn’t. There are erratic jerky movements that obviously could not in principle be optimal. It does, however, find the optimal strategy of tunnelling through the bricks and hitting the ball behind the wall. This is creative learning but not conceptual learning.

You can see the same phenomenon in a game of Pong:

https://www.youtube.com/watch?v=YOW8m2YGtRg

https://worldwritable.com/ethical-imperatives-in-ai-and-generative-art-b8cf51af4c5#.giwlo1ryo

I’m increasingly of the opinion that art projects or experiments that deliberately obfuscate the distinction between man and machine do more harm than good. It was a mild disappointment when the mysterious spambot @horse_ebooks turned out to be a stunt—it was 2012 and it just meant that a little magic went out of the world.

I was less forgiving of SeeBotsChat, a recent livestream featuring two Google Home devices talking to each other. The livestream was entertaining but the dialogue was too good to be completely generative. Nevertheless, the media reported it as being a performance by two AIs, and many people assumed that this was just how Google Home works out of the box. The creators did not immediately disclose how it worked:

Eventually the they revealed what some had guessed: the devices were using a service called Cleverbot (without permission, one reason the creators were initially coy). Cleverbot isn’t fancy: it remixes 20 years of human chat logs and is more like a turbo-charged ELIZA than artificial intelligence. The dialogue in SeeBotsChat was entertaining because it was written by people, but the creators positioned the devices as emerging consciences. It worries me that thousands of people watched the live stream, didn’t catch the later disclosure, and came away thinking, “This is what AI can do.”

https://medium.com/@ageitgey/abusing-generative-adversarial-networks-to-make-8-bit-pixel-art-e45d9b96cee7#.ulol42v1j

re: SeeBotsChat i assumed it was just that, remixes of human chat logs, and was fine w it being that. it's still novel and interesting to me. i didn't really get that it was "positioned as emerging consciences", esp given that it was on twitch.

i don't really care about ethics in AI/Generative Art.

https://www.youtube.com/watch?v=h1E-FlguwGw

I lol'd http://usa.streetsblog.org/2017/03/29/a-swedish-transit-agency-cuts-through-the-hype-on-automated-cars/

good for them, that's what I've been trying to explain to people for a couple of years but whatever, ROBOT CARS

https://lyrebird.ai/demo

that is really something. did you see the adobe demo from a few months back, offering similar capabilities? it's nice that this one is open source.

worth reading the Ethics section:

Lyrebird is the first company to offer a technology to reproduce the voice of someone as accurately and with as little recorded audio. Such a technology raises important societal issues that we address in the next paragraphs.

Voice recordings are currently considered as strong pieces of evidence in our societies and in particular in jurisdictions of many countries. Our technology questions the validity of such evidence as it allows to easily manipulate audio recordings. This could potentially have dangerous consequences such as misleading diplomats, fraud and more generally any other problem caused by stealing the identity of someone else.

By releasing our technology publicly and making it available to anyone, we want to ensure that there will be no such risks. We hope that everyone will soon be aware that such technology exists and that copying the voice of someone else is possible. More generally, we want to raise attention about the lack of evidence that audio recordings may represent in the near future.

strange times.

and although i'm sure someone will chime in to make the bold claim that the synthesized speech sounds robotic and that AI is a joke, i think it already sounds really good, particularly in how it auto-generates different intonations for the same snippet of text.

huh, I know the new Adobe voice tool is supposed to be able to create new audio given a sample of someone's speech, sounds like it's becoming a populated space