Show Posts

This section allows you to view all posts made by this member. Note that you can only see posts made in areas you currently have access to.

Topics - onceuponatime

Pages: [1] 2 3 4 5
General Discussion / Images of Decentralized 2019
« on: November 03, 2019, 12:44:45 pm »

中文(Chinese) / 你要不要跟我跳舞?
« on: November 03, 2019, 12:39:33 pm »

General Discussion / Let's get bts onto the Tradqwik Exchange
« on: June 18, 2017, 07:56:15 pm »
Please upvote the first (top) comment to this post:

Tradeqwik Exchange to Launch Dividend paying TQS Asset Monday Morning

General Discussion / Will it be love?
« on: May 30, 2017, 08:29:09 pm »
I am going to promote this article with the $10 of SBD that i have right now.

 I would appreciate it if others would add a dollar or two each
to get it to the top of the Promote page. Thanks.

Bitshares: At the crossroads

Please promote and resteem.

How newbs are getting involved in the crypto world (steem: the gateway drug to crypto currencies)!

Please up vote and share!

Can an Old (Entrepreneurial) Dog Learn New Crypto Tricks? Part Three

General Discussion / Cracking the Chinese steemit market
« on: August 07, 2016, 02:46:01 am »
Hey, let's get this post upvoted to encourage rapid steemit adoption in the Chinese market! * sweetsssj/the-secrets-of-why-girls-go-to-the-bar

(Replace the * with a @  and take out the spaces.)

Random Discussion / The Problem with the Crypto Debate
« on: April 16, 2016, 11:04:51 pm »
The Problem with the Crypto Debate

There have been some important public debates about cryptography recently, and, unfortunately, the loudest voices have understood the problem the least. So, I’m very pleased to post a paper on the subject by someone who understands the fundamental issue: my associate at Cryptohippie, Jonathan Logan.

If you have any interest in this subject, please give this paper your time. And if you know others who are interested in the debate, please send them the link.


"The dollar collapse will be the single largest event in human history. This will be the first event that will touch every single living person in the world. All human activity is controlled by money. Our wealth, our work, our food, our government, even our relationships are affected by money."

Lecture at the Adam Smith Institute:

Random Discussion / Face2Face: Real-time Face Capture and Reenactment
« on: March 23, 2016, 04:47:48 pm »
Face2Face: Real-time Face Capture and Reenactment You Can't Trust Anything You See on the News:

Game ON: the end of the old economic system is in sight

Google is a pioneer in limited artificial general intelligence (aka computers that can learn w/o preprogramming them). One successful example is AlphaGo.  It just beat this Go Grandmaster three times in a row.

What makes this win interesting is that AlphaGo didn't win through brute force.  Go is too complicated for that:

...the average 150-move game contains more possible board configurations — 10^170 — than there are atoms in the Universe, so it can’t be solved by algorithms that search exhaustively for the best move.
It also didn't win by extensive preprogramming by talented engineers, like IBM's Deep Blue did to win at Chess. 
Instead, AlphaGo won this victory by learning how to play the game from scratch using this process:

    No assumptions.  AlphaGo approached the game without any assumptions.  This is called a model-free approach.  This allows it to program itself from scratch, by building complex models human programmers can't understand/match.

    Big Data.  It then learned the game by interacting with a database filled with 30 million games previously played by human beings.  The ability to bootstrap a model from data removes almost all of the need for engineering and programming talent currently needed for big systems.  That's huge.

    Big Sim (by the way, Big Sim will be as well known as Big Data in five years <-- heard it here first). Finally, it applied and honed that learning by playing itself on 50 computers night and day until it became good enough to play a human grandmaster.

The surprise of this victory isn't that it occurred.  Most expected it would, eventually... 
Instead, the surprise is how fast it happened.  How fast AlphaGo was able to bootstrap itself to a mastery of the game.  It was fast. Unreasonably fast.
However, this victory goes way beyond the game of Go.  It is important because AlphaGo uses a generic technique for learning.  A technique that can be used to master a HUGE range of activities, quickly.  Activities that people get paid for today.
This implies the following:

    This technology is going to cut through the global economy like a hot knife through butter.  It learns fast and largely on its own.  It's widely applicable.  It doesn't only master what it has seen, it can innovate.  For example: some of the unheard of moves made by AlphaGo were considered "beautiful" by the Grandmaster it beat. 

    Limited AGI (deep learning in particular) will have the ability to do nearly any job currently being done by human beings -- from lawyers to judges, nurses to doctors, driving to construction -- potentially at a grandmaster's level of capability.  This makes it a buzzsaw.

    Very few people (and I mean very few) will be able to stay ahead of the limited AGI buzzsaw.   It learns so quickly, the fate of people stranded in former factory towns gutted by "free trade" is likely to be the fate of the highest paid technorati.  They simply don't have the capacity to learn fast enough or be creative enough to stay ahead of it.

Have fun,
John Robb
PS:  Isn't it ironic (or not) that at the very moment in history when we demonstrate a limited AGI (potentially, a tsunami of technological change) the western industrial bureaucratic political system starts to implode due to an inability to deal with the globalization (economic, finance and communications) enabled by the last wave of technological change?

PPS:  This has huge implications for warfare.  I'll write more about those soon.  Laying a foundation for understanding this change first.


Random Discussion / Instant Learning and the Next Economy
« on: March 22, 2016, 07:39:24 pm »
Instant Learning and the Next Economy

Let's face it.  Human biological evolution is very slow.  Our bodies and minds are roughly the same as they were ten thousand years ago.

That hasn't held us back though.

Thousands of years ago, we learned an unique way to transcend the limits of biological evolution.  We learned that we can rapidly evolve as a group by gathering, storing, and sharing the experiences of individuals. 

Technology has accelerated this process.  It allows us to allocate an increasing percentage of our population to it (from scientists to teachers), more easily gather and store its torrents of information (computers and Moore's law), and share it instantly across the entire globe (the Internet and smartphones). 


However, all of that earlier innovation is child's play compared to what is now possible.  With limited AGI, it will be possible to exponentially accelerate the gathering, improvement, and sharing of human understanding.  Here's how this is done in its most basic form (currently called cloud robotics):

    An AGI learns a task or a concept through experience (this is becoming very easy to do with model free deep learning, Big Data and Big Sim as I pointed out yesterday).
    That understanding is packaged, uploaded, and stored in the cloud.
    Any other AGI can download that understanding as needed.

This is clearly a formula for radically accelerating the growth of human experience.  A radical upgrade to the existing process. 

Currently, when a human being learns something, it's accomplished through a slow and painstaking process.  Worse, even when a human finally understands how something is done, it's hard to retain and even harder to share with others with any permanence.  Yet, despite the imperfections of this system, we've made all the progress we see today. 

Cloud robotics and limited AGI changes that.  It makes it possible for human beings to capture understanding and store it in a way that makes it instantly available for anyone that needs it.  This contrast in systems provides us with significant insight into what human beings enabled by limited AGI will be doing in the future.  I believe the future of work will be:

    Teaching AGIs everything we've already learned about the world.  This is a herculean task and it has the potential to keep many of us busy doing it for many decades into the future.
    Collaborating with AGIs to learn things we don't already know about the world.  AGIs can learn how to do things without a formal knowledge of how something works.  This is where engineers, scientists, and philosophers live and work.
    Applying the understanding and capabilities of AGI to do things in the real world better and more easily than ever before.  Most of us will be working in this space.

As you can see, there isn't a lack of opportunity for productive endeavor in the next economy.  It's only limited by our imagination. 

Have fun,

John Robb

PS: After AGIs learn through exposure to Big Data and Big Sim, they will need to refine that understanding through real world experience guided by human beings.

PPS:  Since cloud robotics is a platform, the first movers that get it right win all (both countries and companies).


Central banks beat Bitcoin at own game with rival supercurrency

Dr Danezis said there are three big centres of research and innovation into the fast-moving area of 'Fintech' and crypto-currencies. The City is at the cutting edge. "The game is between London, New York, and Silicon Valley in California," he said.

full article:

Any of the teams working on mobile wallets or apps may find this free e-book from BlackBerry of interest:

The Definitive Guide to Enterprise Mobile Security
Strategies and Tactics for Business and IT Decision-Makers

How a Small Company in Switzerland Is Fighting a Surveillance Law - and Winning

By Jenna McLaughlin, The Intercept

25 January 2016

A small email provider and its customers have almost single-handedly forced the Swiss government to put its new invasive surveillance law up for a public vote in a national referendum in June.     

 full article:

Muse/SoundDAC / Importing 0.9.3C backup into Muse
« on: January 16, 2016, 04:05:41 am »
Could someone please link me to the instructions for importing my BitShares 0.9.3c wallet backup into my Muse wallet and collecting my Muse balances?

Alternatively, could I just import a backup of my BitShares2.0 wallet?

Pages: [1] 2 3 4 5