File:Building complex systems that transcend human understanding. TTI Vanguard -next- 2013 (11326840863).jpg

From Wikimedia Commons, the free media repository
Jump to navigation Jump to search

Original file(851 × 564 pixels, file size: 272 KB, MIME type: image/jpeg)

Captions

Captions

Add a one-line explanation of what this file represents

Summary[edit]

Description

I am at the TTI/Vanguard Next conference (<a href="http://www.ttivanguard.com/conference/2013/next_agenda.html" rel="nofollow">agenda</a>), with a sophisticated audience of tech executives from around the world. Of the topics I covered, the Q&A interest focused on iterative algorithms that will create an AI that exceeds human intelligence, much like biological evolution. (<a href="https://www.youtube.com/watch?v=T0Ftc_X6qOo" rel="nofollow">video</a>)

Here are some of the related bullets from my slides:

Reed's Law applies to combinations of ideas as well as self-forming groups. It's the combinatorial explosion in the mating pool of ideas that creates perpetually accelerating progress.

Evolutionary algorithms allow us to build complex systems that exceed human understanding (synthetic biology, AI, innovative organizations), but there are some limitations to this approach:

• Subsystem Inscrutability - Black box defined by its interfaces - No “reverse evolution” (You can't run that algorithm backwards)

• No simple shortcuts across the iterations - Simulation ~ Reality - Beauty from irreducibility

• Locus of Learning is Process, not Product

• Robust, within co-evolutionary islands

“The greatest achievement of our technology may well be the creation of tools that allow us to go beyond engineering – that allow us to create more than we can understand.” — <a href="https://www.flickr.com/search/?q=danny hillis&w=44124348109@N01">Danny Hillis</a>

“We actually think quantum machine learning may provide the most creative problem-solving process under the known laws of physics.” — <a href="https://www.flickr.com/photos/jurvetson/9558389543">Google Blog</a>

AI implications: • Cut & Paste Portability?

• Locus of learning: Process, not Product - Would we bother to reverse engineer? - No hard take off?

•Co-evolutionary islands - accustomed environment (differential immunity)

• Path dependence - algorithm survival - AI = Alien Intelligence defined by sensory I/O


Accelerating Technological Change - Interdisciplinary Renaissance - IT innervates $T markets - More Black Swans - Perpetual driver of disruption ==> Virtuous cycle for entrepreneurs ==> a great time for the new


Comments from others that followed:

“The majority of financial reports are now compiled by machines, not people.”

“A lot of the great data scientists are born in Russia, and they have the attributes of creativity, tenacity and an ability to code.”

“When we asked 1000 people on Mechanical Turk to flip a coin, we got 65% heads, 28% tails, and 7% typos. Many of them clearly did not actually flip a coin.”

“Imagine the sociological impact of crowdsourcing – what if you could create IBM for an afternoon and then disperse it? We might get cyber-Taylorism if we don’t think about doing it right.”

“Competition will be critical to the wisdom of crowds.”

Combinatorial Creativity: “Combinatorial search spaces are vast and the fastest supercomputers can not penetrate too deeply into them. Nevertheless, they may be able to penetrate several levels deeper than any person can, and thereby find superb creative acts that mankind did not or could not think of.”


Pointer to <a href="http://www.computerhistory.org/revolution/artificial-intelligence-robotics/13/290/2215" rel="nofollow">CHM video</a> on the history of AI.

Photos by <a href="http://www.edjayphotography.com" rel="nofollow">Ed Jay</a>
Date
Source Building complex systems that transcend human understanding. TTI/Vanguard [next] 2013
Author Steve Jurvetson from Los Altos, USA

Licensing[edit]

w:en:Creative Commons
attribution
This file is licensed under the Creative Commons Attribution 2.0 Generic license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
This image was originally posted to Flickr by jurvetson at https://flickr.com/photos/44124348109@N01/11326840863. It was reviewed on 13 December 2020 by FlickreviewR 2 and was confirmed to be licensed under the terms of the cc-by-2.0.

13 December 2020

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current14:29, 13 December 2020Thumbnail for version as of 14:29, 13 December 2020851 × 564 (272 KB)Eyes Roger (talk | contribs)Transferred from Flickr via #flickr2commons

There are no pages that use this file.

Metadata