Kurzweil Addresses Fears About AI

In the following video, futurist and inventor Ray Kurzweil responds to some reasonable concerns about artificial general intelligence.  While I am an advocate of caution over fear, I’m not sure that Kurzweil’s comparisons to previous technologies sets solid grounds for dismissing such concerns.  We can reference past technologies and see a positive trend for such technologies being statistically more beneficial than destructive.  For example, nuclear technology can be used for creating weaponry, but it’s far more commonly used for creating energy.  However, all past technologies have one thing in common; they couldn’t out think us.  Kurzweil’s only solution to this is to “merge with the machines.”  Kurzweil also goes on to say that this merging is already taking place which, indeed, appears to be the case.  My concern is that intelligence may not be the only factor in creating harmony within humanity.  If empathy is solely a product of intelligence the I say bring it on!  However, I think more attention needs to be paid to the developmental roots of empathy as we continue down the path of creating artificial sentience.  The goal shouldn’t be in creating artificial general intelligence so much as it should be in creating artificial general empathy.  


Runtime: 5:10


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Video Info:

Published on Mar 28, 2017

I interviewed Ray in his Google office in Mountain View, CA, February 15, 2017. Ray gave generously of his time, and his replies to my questions were very focused, full of excellent content.

To view the full interview (about 30 minutes), go to this link: https://youtu.be/lpzXWGrngTw

At the end of 2013, I made a documentary (https://youtu.be/5igUX43gkiU) about Ray, which includes clips from another interview. My goal was to provide a short video introduction to the life & thoughts of Ray, for those who know nothing about him and who want to know more. I hope you will check it out.

On the Rapid Progress of AI

The following video talks about the speed of advancement of artificial intelligence.  The video come from the ColdFusion YouYube channel which is quickly becoming a Dawn of Giants favorite.  If you haven’t visited their channel, you show definitely stop by and browse some of there videos.  The video primarily focuses on neural networks and how they are advancing more by means of self improvement (sounds like a self help program for AI… which, I guess in a sense, it is) rather than updates created by human programmers.  The video gives an overview of neural nets and also presents several fascinating examples.  AI cameos include AlphaGo, WaveNet, StackGan (a generative adversarial network), and more.


Runtime: 12:07


This video can also be found here.  Make sure to stop by and give them a like.

Video Info:

Published on Apr 12, 2017

Robotics and the 4th Industrial Revolution

This video discusses the future of robotics and the 4th industrial revolution.  The video includes a brief history of robotics, an overview of the present state of the art, and speculation on robotics of the future with primary focus on robotics in the workforce.  Artificial intelligence is discussed along with what advancing AI and robotics will mean for both high and low skilled workers respectively.  


Runtime: 21:48


This video can also be found here.

Video Info:

Published on Jan 20, 2018

AI Robots are taking over the world!

Deep Dream Visualization Clip

This is a video of Google Brain‘s Deep Dream computer vision as it attempts to recognize shapes within the input video.  The output video (shown) is really quite interesting to watch.  If you want to know how Deep Dream do what it do, click here for a general overview on how it works; very fascinating. 


Runtime: 5:36


This video can also be found here.

Video Info:

Published on Jul 7, 2015

A journey through all the layers of an artificial neural network.

This video is made using a visualization technique applied to a neural network trained to recognize a broad range of images. Each frame is recursively fed back to the network starting with a frame of random noise. Every 100 frames (4 seconds) the next layer is targeted until the lowest layer is reached.

Based on the work by Google researchers Alexander Mordvintsev, Christopher Olah and Mike Tyka. See googleresearch.blogspot.it/2015/07/deepdream-code-example-for-visualizing.html for more information.”
~Johan Nordberg, original video creator.

Original video by Johan Nordberg here. https://vimeo.com/132700334

special thanks to Ektoplazm for inspiration
Music: Journey on the Sunset by Sam’adhi on the Low Tide VA
http://www.ektoplazm.com/free-music/l…

Andrew Ross Sorkin Interviews Sophia the Robot

Well, there’s certainly still a lot of distance to cross in the territory of the uncanny valley.  The following video is an interview with Sophia the robot at the Future Investment Initiative conference held in October of 2017 in Saudi Arabia.  Sophia is interviewed by Andrew Ross Sorkin of CNBC.  I can’t help but get the impression that Sophia’s (or should I say, Sophia’s programmer’s ) primary goal is to give responses that people want to hear.  I also got the impression that the interview was loosely scripted giving in a very inauthentic feel (for as much as that can be attributed to our present level of robotics).  All said, it’s still an interesting video because it lays open so many possibilities; some beneficial to humanity, some terribly unpleasant.  It’s no longer a matter of if we should develop such technologies because I think it’s a matter of inevitability rather than possibility.  The best we can do is make the discussion commonplace in order to develop the understanding needed to raise our non-biological offspring wisely.


Runtime: 5:04


This video can also be found here.

Video Info:

Published on Oct 25, 2017

CNBC’s Andrew Ross Sorkin interviews Sophia, a humanoid robot, about the future of artificial intelligence at a Future Investment Institute panel in Saudi Arabia on Wednesday.
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Interview With The Lifelike Hot Robot Named Sophia | CNBC

Ray Kurzweil and Neil deGrasse Tyson Talk Future

In this interview, Neil deGrasse Tyson (astrophysicist) talks with futurist Ray Kurzweil about the exponential progression of computing and touches on some of Kurzweil’s key predictions.  If you’re familiar with Kurzweil’s public talks and interviews then you know there are certain salient points he likes to make in regards to the exponential nature of information technology (see Kurzweil’s Law of Accelerating Returns).  I liked this video because it is a good collection of such points as well as a couple insights I hadn’t heard him express previously.  In this video, Tyson acts primarily in the capacity of host.


Runtime: 20:42


This video can also be found here.

Video Info:

Published on May 16, 2017

Future of Earth Year 2030 in Dr Neil deGrasse Tyson & Dr Ray Kurzweil POV. Documentary 2018
https://tinyurl.com/AstrobumTV

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Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for “fair use” for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. BBC Documentary 2018 Non-profit, educational or personal use tips the balance in favor of fair use.

How Google’s Deep Dream Works

The following video is a general description of how Google’s Deep Dream computer vision (image recognition) works.  Deep Dream uses a convolutional neural network to look for patterns in an image or video based on large sets of images previously analyzed for defining characteristics.  The beauty of Deep Dream is that it can modify images to accent fragments within the image to more closely resemble the aspects from images it has previously evaluated.  The effects of such augmentation can be quite striking; creating strange, almost psychedelic, results.


Runtime: 13:42


This video can also be found here.

Video Info:

Published on Aug 26, 2016

Surreal images created by Google’s Deep Dream code flooded the internet in 2015 but how does deep dream do it? Image analyst Dr Mike Pound.

Inside a Neural Network: https://youtu.be/BFdMrDOx_CM
Cookie Stealing: https://youtu.be/T1QEs3mdJoc
FPS & Digital Video: https://youtu.be/yniSnYtkrwQ
Password Cracking: https://youtu.be/7U-RbOKanYs
Gamer’s Paradise: https://youtu.be/HZzdXR0bV8o

Images seen/manipulated in this video: https://drive.google.com/open?id=0Bwd…

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This video was filmed and edited by Sean Riley.

Computer Science at the University of Nottingham: http://bit.ly/nottscomputer

Computerphile is a sister project to Brady Haran’s Numberphile. More at http://www.bradyharan.com

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AI Births New AI

This short video from producer Dagogo Altraide (found on the the ColdFusion YouTube channel) discusses a Google Brain AI (artificial intelligence) which created it’s own AI offspring that “performs better than anything else in it’s feild” according to the video (this particular field is computer vision).  Google uses an approach called automatic machine learning (or AutoML) to recursively generate new architectures and give feedback to the controller neural net.  The “parent” neural net is called AutoML and the “child” neural net is called NASNet.  NASNet is a real time image recognition AI.  NASNet performed with more accuracy and efficiency than any AI of it’s kind created by humans.


Runtime: 5:52


This video can also be found here.

Video Info:

Published on Jan 15, 2018

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In this video we talk about Auto ML by Google brain. Auto ML is one of the first successful automated AI projects.

Hi, welcome to ColdFusion (formerly known as ColdfusTion).
Experience the cutting edge of the world around us in a fun relaxed atmosphere.

Sources:

http://automl.info

http://www.ml4aad.org/automl/

https://futurism.com/google-artificia…

https://futurism.com/googles-new-ai-i…

https://research.googleblog.com/2017/…

https://www.youtube.com/watch?v=92-Do…

http://research.nvidia.com/publicatio…

//Soundtrack//

0:00 Tchami – After Life (Feat. Stacy Barthe)

0:40 Delectatio – Everything Is A Dream

1:45 Ricky Eat Acid – A Smoothie Robot For My Moon Mansion

3:37 Catching Flies – The Long Journey Home

4:40 Gryffin – Heading Home (feat. Josef Salvat)

5:18 Faux Tales – Weightless (feat. Luke Cusato)

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Google’s DeepMind AI

This video explain’s Google’s DeepMind AI.  The goal of the DeepMind project is to develop general purpose algorithms which, along with the development of artificial intelligence, will teach us more about the human brain.  Part of the DeepMind research was a project called AlphGo which beat Go world champion Lee Sedol in 2015.  Due to the intuitive nature of the game, it was not expected that an AI would succeed in beating a Go champion for at least another decade.  DeepMind uses a type of machine learning called deep reinforcement learning.  Machine learning is not to be confused with expert systems.  Expert systems work within predefined (pre-programmed) parameters whereas machine learning relies upon pattern recognition algorithms.


Runtime:13:44


This video can also be found here.

Video Info:

Published on May 1, 2016

Subscribe here: https://goo.gl/9FS8uF
Become a Patreon!: https://www.patreon.com/ColdFusion_TV
Visual animal AI: https://www.youtube.com/watch?v=DgPaC…

Hi, welcome to ColdFusion (formally known as ColdfusTion).
Experience the cutting edge of the world around us in a fun relaxed atmosphere.

Sources:

Why AlphaGo is NOT an “Expert System”: https://googleblog.blogspot.com.au/20…

“Inside DeepMind” Nature video:
https://www.youtube.com/watch?v=xN1d3…

“AlphaGo and the future of Artificial Intelligence” BBC Newsnight: https://www.youtube.com/watch?v=53YLZ…

http://www.nature.com/nature/journal/…

http://www.ft.com/cms/s/2/063c1176-d2…

http://www.nature.com/nature/journal/…

https://www.technologyreview.com/s/53…

https://medium.com/the-physics-arxiv-…

https://www.deepmind.com/

http://www.forbes.com/sites/privacynotice/2014/02/03/inside-googles-mysterious-ethics-board/#5dc388ee4674

https://medium.com/the-physics-arxiv-…

http://www.theverge.com/2016/3/10/111…

https://en.wikipedia.org/wiki/Demis_H…

https://en.wikipedia.org/wiki/Google_…

//Soundtrack//

Disclosure – You & Me (Ft. Eliza Doolittle) (Bicep Remix)

Stumbleine – Glacier

Sundra – Drifting in the Sea of Dreams (Chapter 2)

Dakent – Noon (Mindthings Rework)

Hnrk – fjarlæg

Dr Meaker – Don’t Think It’s Love (Real Connoisseur Remix)

Sweetheart of Kairi – Last Summer Song (ft. CoMa)

Hiatus – Nimbus

KOAN Sound & Asa – This Time Around (feat. Koo)

Burn Water – Hide

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Producer: Dagogo Altraide

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Nell Watson Discusses Quantum Mechanical Processes

In this video, Nell Watson, co-founder (along with Alexander Vandevelde and Wim Devos) of QuantaCorp (previously Poikos), discusses “quantum mechanical processes” and how the study of natural biological processes can lead to better computational algorithms.  In the video, Watson refers to “reservoir computing” which is the idea that “you can turn different physical properties of materials into complex computation.”


Runtime: 14:59


This video can also be found here.

Video Info:

Published on Nov 16, 2017

Recent experiments in Optoelectronic reservoir computing show that computation can be performed within everyday physical media. This suggests intriguing possibilities with regards to the future of programmable matter and ubiquitous computing. It also raises the question of whether such computational phenomena may be found within nature, contributing to the seemingly-intelligent responses of plants, for example, or assisting the manifestation of certain complex biochemical processes.
Nell Watson has a longstanding interest in the philosophy of technology, and how extensions of human capacity drive emerging social trends. Watson lectures globally on a broad spectrum of AI-related topics. In 2010, Nell founded Poikos, a machine learning-driven AI for body measurement. She is also Co-Founder of OpenEth.org. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx