Computer Science

The Man is a mass of red hot ashes; the night is full of promises.  Bob Moses are weaving their magic with an amazing live performance on the Robot Heart BOT.  Nuff said.

http://soundcloud.com/the-bob-moses
www.facebook.com/bobmosesmusic
www.facebook.com/scissor.and.thread.nyc

Photo by Karim V Tabar

Bob Moses (Live) - Robot Heart Burning Man 2013

Hey folks, hope you enjoy this edition of Love and Light. :))

Hedflux - Wanderlust 
Quanta and Eurythmy - Dream Before You Sleep ( version )
Quanta - Dream Before You Sleep
Kalya Scintilla - From Day to Night
Bird of prey - Atrium ( Quanta remix )
Wolfen Technologies - Senses
Wolfen Technologies - Shining Star
Wolfen Technologies - Keep on Flowing
Wolfen Technologies - Crunk
Wolfen Technologies - External Encounters
Wolfen Technologies - Ancient Feelings
Mumukshu - Squiggle fins
Akasha - Soul Circus

Psy Dub - Shanti Planti Soundz -  2014 Promo mix

Entrepreneur and venture capitalist Ben Horowitz shares which entrepreneurial skills truly matter, and why learning to manage well may be the most critical skill of all. Horowitz, a founding partner of Andreessen Horowitz, discusses the value of learning inside a large company, some of the exciting technology frontiers ahead, and the purpose and philosophy of his firm, in conversation with Stanford Engineering Professor Tom Byers.

Ben Horowitz, Tom Byers - Nailing the Hard Things

The annual Burning Man retrospective. This one is a collection of music I didn't actually have the moments to play. Contemplative nighttime tunes. Mysterious and ethereal, delicate but strong, lullabies with just enough thump.

(00:00) Life On Planets - Fork In The Path (David Marston & Dan Izco Remix) [Double Standard, 2015]
(06:40) Just Be - Just Another Late Night [Maison D'etre, 2014]
(13:52) Mark Slee - Nocturne Belle [Manjumasi, 2016]
(19:12) Dance Spirit - Arrière Coeur [Maison D'etre, 2014]
(25:36) Kiasmos - Thrown [Erased Tapes, 2012]
(32:00) Joachim Pastor - Eche [Stil Vor Talent, 2014]
(37:20) Martin Landsky, SHOW-B - Bells For Life (Asaga Remix) [Highway, 2014]
(43:28) John Tejada - The End Of It All [Palette, 2006]
(50:56) Savvas - Whisper Love [L'enfant Terrible, 2015]
(51:44) Dayton - Night Was Made For Lovin' [Kunsthandwerk, 2015]

Mark Slee - BRC: Unrealize [September 2015]

Quantum computing. The dream of the 1980s is alive in 2015. But this time is different, for a number of reasons. What are the applications, beyond cryptography? And, what’s the point of it all — are the benefits of quantum computing truly going to be a difference of kind vs. of degree? And if so, how will it change what we already know about computers, from languages to coding to UIs to everything?

While it’s counterintuitive for us to imagine something so infinitesimally small, Ilyas Khan of Cambridge Quantum Computing helps us make the quantum leap in our minds … in this special edition of the a16z Podcast, brought to you from London.

a16z Podcast: Quantum Leap

What is A.I. or artificial intelligence but the 'space of possible minds', argues Murray Shanahan, scientific advisor on the movie Ex Machina and Professor of Cognitive Robotics at Imperial College London.

In this special episode of the a16z Podcast brought to you on the ground from London, Shanahan -- along with journalist-turned-entrepreneur Azeem Azhar (who also curates The Exponential View newsletter on AI and more) and The Economist Deputy Editor Tom Standage (the author of several tech history books) -- we discuss the past, present, and future of A.I. ... as well as how it fits (or doesn't fit) with machine learning and deep learning.

But where are we now in the A.I. evolution? What players do we think will lead, if not win, the current race? And how should we think about issues such as ethics and automation of jobs without descending into obvious extremes? All this and more, including a surprise easter egg in Ex Machina shared by Shanahan, whose work influenced the movie.

a16z Podcast: Artificial Intelligence and the 'Space of Possible Minds'

If network effects are one of the most important concepts for software-based businesses, then that may be especially true of data network effects -- a network effect that results from data. Particularly given the prevalence of machine learning and deep learning in startups today.

But simply having a huge corpus of data does not a network effect make! So how can startups ensure they don't get a lot of data exhaust but get insight out of and add value to that data and the network? How can they make sure that the (arguably inevitable) data aspect of their business isn't just a sideshow or accident? How should founders strike the balance between not overbuilding/ building a data team vs. having enough data for those data scientists to work with in the first place? And finally, what are the ethical considerations of all this?

The a16z general partners most focused on bio and fintech -- Vijay Pande and Alex Rampell -- join this episode of the a16z Podcast to share their observations and advice on all things data network effects.

a16z Podcast: Data Network Effects

Subodh Sharma is a professor of computer science at IIT Delhi, one of the most prestigious universities in India. While he’s not teaching, Subodh conducts research into the formal verification of distributed systems, and his work on the automated formal verification of smart contacts has drawn international interest. 

I called up Subodh because I was looking for someone to explain an approach to writing software called the actor model. The actor model essentially involves sandboxing tasks in such a way that complexity is minimized and all behaviors of a software system can be known under all conditions. 

Currently the actor model is applied to the management of telecommunications networks through the Erlang language, and also in secure servers. Understanding the way robust distributed systems are constructed assists in the assessment of platform designs and gives us a view into the future of the ultimate distributed system - the Third Web.

The Third Web

The Third Web #12 - The Actor Model

In this episode we had the pleasure of talking Emaline Friedman from the Commons Engine.

Emaline is a network activist, cultural critic and teacher, and is currently a PhD candidate in Consciousness and Society in the Psychology department at the university of West Georgia.

You can contact Emaline at: https://commonsengine.org

HolochainPodcast #3 - Emaline Friedman - Commons Engine

I dream of piano and keyboard in the near future🦉

The Third Web #12 - The Actor Model

Arthur Falls

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