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I was pointed to this article by Jon Matonis, Founding Director, Bitcoin Foundation. I was sufficiently moved to highlight it here at Lifeboat Foundation, where I am a contributing writer.

On Fungibility, Bitcoin, Monero and ZCash … [backup]

This is among the best general introductions I have come across on traceability and the false illusion of privacy. The explanation of coin mixing provides and coin_mixing-03excellent, quick & brief overview.

Regarding transaction privacy, a few alt-coins provide enhanced immunity or deniability from forensic analysis. But if your bet is on Bitcoin (as it must be), the future is headed toward super-mixing and wallet trading by desgin and by default. Just as the big email providers haved added secure transit,
Bitcoin will eventually be fully randomized and anonymized per trade and even when assets are idle. It’s not about criminals; it’s about protecting business, government and individuals. It’s about liberty and our freedoms. [Continue below image]

coin_mixing-04
How to thwart forensic investigation: Fogify explains an advanced mixing process

The next section of the article explains the danger of losing fungibility due to transaction tracing and blacklisting. I can see only ONE case for this, and it requires a consensus and a hard fork (preferably a consensus of ALL stakeholders and not just miners). For example, when a great number of Etherium was stolen during the DAO meltdown.

My partner, Manny Perez, and I take opposing views of blacklisting coins based on their ‘tainted’ history (according to “The Man”, of course!). I believe that blacklists must ultimately be rendered moot by ubiquitous mixing, random transaction-circuit delays, dilbert-060219and multiple-transaction ‘washing’ (intentionally invoking a term that legislators and forensic investigators hate)—Manny feels that there should be a “Law and Order” list of tainted coins. Last year, our Pro-&-Con views were published side-by-side in this whitepaper.

Finally, for Dogbert’s take on fungible, click here. I bought the domain fungible.net many years ago, and I still haven’t figured out what to do with it. Hence this Dilbert cartoon. smile
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Philip Raymond is co-chair of The Cryptocurrency Standards Association.
He also presents on privacy, anonymity, blind signaling & antiforensics.

https://www.singularityweblog.com/mic

Dr. Michael Fossel is one of those few theoreticians who can see much of the big picture of aging. While some use mostly guesswork, and others hope to improve on that with logic, Fossel never shies away from the clear verdict that only data can give. Add his overwhelming compassion as a human being and you will understand why he is a clinician who really cares. You will also get a pretty good idea of what kind of a person Michael is – both personally and professionally. And those are just some of the reasons why enjoy having him back on my Singularity 1on1 podcast for an in-depth discussion of his latest book on the topic titled the Telomerase Revolution.

During our 83 min discussion with Dr. Fossel we cover a variety of interesting topics such as: what the Telomerase Revolution is all about; the difference between realist and optimist medicine; why books don’t cure diseases and why Fossel is more interested in curing rather than understanding aging; the telomere theory of aging; whether we can create a vaccine for old age; the difference between direct and indirect aging; why guesswork is useless, logic is better but data trumps everything; whether we can slow down and/or reverse aging; Liz Parrish’s telomere lengthening experiment; reaching Longevity Escape Velocity and why Aubrey de Grey may turn out to be conservative in his estimate; Fossel’s biotech startup company Telocyte…

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I argued in my 2015 paper “Why it matters that you realize you’re in a Computer Simulation” that if our universe is indeed a computer simulation, then that particular discovery should be commonplace among the intelligent lifeforms throughout the universe. The simple calculus of it all being (a) if intelligence is in part equivalent to detecting the environment (b) the environment is a computer simulation © eventually nearly all intelligent lifeforms should discover that their environment is a computer simulation. I called this the Savvy Inevitability. In simple terms, if we’re really in a Matrix, we’re supposed to eventually figure that out.

Silicon Valley, tech culture, and most nerds the world over are familiar with the real world version of the question are we living in a Matrix? The paper that’s likely most frequently cited is Nick Bostrom’s Are you living in a Computer Simulation? Whether or not everyone agrees about certain simulation ideas, everyone does seem to have an opinion about them.

Recently, the Internet heated up over Elon Musk’s comments at a Vox event on hot tub musings of the simulation hypothesis. Even Bank of America published an analysis of the simulation hypothesis, and, according to Tad Friend in an October 10, 2016 article published in New Yorker, “two tech billionaires have gone so far as to secretly engage scientists to work on breaking us out of the simulation.”

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We have already seen the HoloLens mixed reality headset put to military use by the Israeli Defense Force for advanced battlefield planning.

Now Ukrainian company LimpidArmor has shown off a new application for the augmented reality device on the actual battlefield to improve the field of view of tank commanders without exposing them to additional risk. The technology was shown off at the Arms and Security show, held in Kiev from 11 to 14 October.

LimpidArmor’s hardware and software system uses a HoloLens integrated with a helmet and cameras mounted around the tank to give commanders a 360 degree view of their environment in both optical and thermal and makes this available in real-time.

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Story just in time for Halloween.


The prospect of artificial intelligence is scary enough for some, but Manuel Cebrian Ramos at CSIRO’s Data61 is teaching machines how to terrify humans on purpose.

Dr Cebrian and his colleagues Pinar Yanardag and Iyad Rahwan at the Massachusetts Institute of Technology have developed the Nightmare Machine.

This is an artificial intelligence algorithm that is teaching a new generation of computers not only what terrifies human beings, but also how to create new images to scare us.