Archive for the ‘Other’ Category

Lusa Tonga

September 4, 2023

In the language Lusa Tonga just about everything depends on context.  As a matter of fact, most of the words in Lusa Tonga consist of a single word and most of the time that word is “Tonga”. 

For example, if you want to say “I threw the ball over there” you would say “Muya Tonga Tonga tonga Tonga tonga”.  Mercifully capitalization is optional, but preferred. 

“Muya” is the first-person all-purpose word.  It means roughly “I”, “me”, “my” and/or “mine” in English. In Lusa Tonga one could use that sentence to say just about anything about oneself, but nothing about anyone else.

To say “Why did you throw the ball over there?” you would say “Tonga Tonga Tonga Tonga tonga tonga tonga Foa” and then abruptly raise the eyebrows sharply at the end and look quickly to the left.

How the Lusa Tongani ever managed to invent the world’s fastest, smartest and cheapest computing device is a mystery to the rest of the world.

One caveat however is that it is only fast smart and cheap in the Lusa Tonga language. 

 

Usernames, the underused security

July 16, 2023

Usernames and passwords. Computer (and smartphone) users have been encouraged to use their email address as their username for quite a few years now. This is a shame. Because a username can be a full-fledged participant in the credentials used to thwart bad-guys almost as effectively as passwords can.  But it can only be effective if it is variable. If you use the same string of characters for every username of every site you have access to, then its effectiveness is diminished considerably. This is especially true if the username is also your email address.

Let me explain. The traditional single factor authentication requires two components, a username and a password.  Actually, it requires three components, I’ll explain that in a moment.  Traditionally the username has been something you are. For the most part, this does not change and is easy to remember.  Traditionally it has been a variation on the name that a human user has (e.g., “ckent”), or sometimes, a name they might have wished they had, (e.g., “Superman”). But either way, its variability per user has traditionally been extremely low. Sometimes no greater than one per person, across all websites. This is easy to understand, but it wastes a resource that could be used in the battle against the bad-guys.

The password, on the other hand, has been something you have. For each website, or more accurately, for each set of credentials, you are encouraged to “have a different thing.”  The “thing” that you have for website A is not supposed to be the same as the “thing” you have for website B. That is, you are advised to have a different password for each website. This is a good thing. However, it is not 100% necessary when multiple possible usernames are used.  It is the combination of username and password, taken together, which should be unique for each website you use. This does, of course, require you to remember both your username and password for each website you engage with. And it undermines the concept of “what you are.”

With the advent of Password Managers on the market, however, the need for using the same username for each website is diminished[i]. A Password Manager is as capable of remembering, and submitting to a website, a unique combination of characters for a username, as it is for a password.  As a matter of fact, the distinction between them, username and password, is swiftly disappearing and the submission of a single unique string for security purposes is becoming more common. This string can be a string on digits, which you have sent to you and you repeat, or more often now a days, activated by the answering of a yes or no question (e.g. “was that really you who requested access” or something of that nature.

The third component, by the way, is the website URL (universal resource locator).  The combination of a username and password is just a string of characters unless you (or the bad-guy) know the web address (i.e., URL) of the website to which it grants access to the entity, the “who” that is attempting the access.  Once granted access, this entity becomes the Principle in all interactions within the website. Its ability to do harm or good is determined by its authorized privileges, on that website. The Principle does not take it (the authorized privileges) with them, as a backpack traveling from site to site in cyber space. Rather he picks them up just inside the door as he enters

I use the term Principle in this case because by the time access is granted neither the software nor the hardware any longer know[ii] who the entity (now Principle) is or was, nor even if it was a “who” in a 6BI sense.  A Principle is an authenticated user, and is supposed to be you, or your authorized agent.  It could still be a “robo-user” and will increasingly be so, but the assumption is that it is a proxy for a human user, acting on their behalf.


[i] The need for always using the same username, your email address for example, is diminished, but still encouraged.

[ii] Please excuse the ethnocentrically empowered reference.

Starbucks Fantasy

July 15, 2022

She was a pretty girl.  Sweet actually.   A smile, bright eyes and a cheery acknowledgement of my presence across from her.  We made short term small talk and I asked her her name.  She told me and then, I could almost not believe it, she asked me mine.  My heart skipped a beat… she couldn’t really care what my name was, could she?

I told her… and she wrote it on the cup.

Two Interesting Interrelated Topics

March 27, 2022

I have been hearing more and more about two interesting interrelated topics recently.

First is an article from my NPR news feed from a short while back, about governments introducing virtualized versions of their “centralized” currencies. As you might imagine China seems to be way out in front on this. It may be virtual and it may be crypto but it is still centralized. That means it is soverign currency and a government controls this “e-currency”.

https://www.npr.org/2022/02/06/1072406109/digital-dollar-federal-reserve-apple-pay-venmo-cbdc?sc=18&f=1001

Second and what might be even more interesting however is the rise in “decentralized” finance, or DeFi (clever acronym!). Here, at least at first, a government does not necessarily control the currency. Here is a reference to a Coursera course produced by Duke University on this topic. This might be where the real action is going to be going forward.

https://www.coursera.org/learn/decentralized-finance-infrastructure-duke?specialization=decentralized-finance-duke

Don’t kill me and I won’t kill you

February 20, 2022

This is one of the best articles on COVID/Omicron I’ve read.  It makes lots of sense.  In order for the virus to infect more and more people, and thus increase its probability of surviving in a world full of enemies (eg. humans) it has to evolve to the point where it is not so severe and people just live with it.  Kind of like the flu.  People tolerate it and the virus continues to  propagate.  Our probiotic stomach bacteria learned this lesson millions of years ago.  Don’t kill them and they won’t kill you!.

https://www.nature.com/articles/d41586-022-00210-7?utm_source=Nature+Briefing&utm_campaign=f41aeff64d-briefing-dy-20220202&utm_medium=email&utm_term=0_c9dfd39373-f41aeff64d-42706715

Don’t Look Up

February 17, 2022

The title obviously is ripped off from the 2021 Oscar nominated movie, but I thought it fit. Here in the Earth’s gravity well we are exposed to everything “out there”, even our own stuff which we have put out there, like satellites and space stations. 

Orbiting objects, especially the international space station, in orbiting the earth slowly accumulates an energy debt. This debt is the result of it’s borrowing energy from its surroundings to prevent it from falling out of the sky. Sooner or later this debt gets too high for the object to carry and it balances the books by falling down the gravity well back to earth. The fireball produced by that plunge is the removal of that debt.

This is kind of like the biologic death that happens to all of us. Sooner or later, local entropy, as it increases, wittles away at the bonds that hold together the matter of which we are made.  We breakup into smaller pieces of matter until the critical mass required to stay alive is passed and we “die”.

Here’s an interesting read on the topic.

https://theconversation.com/the-international-space-station-is-set-to-come-home-in-a-fiery-blaze-and-australia-will-likely-have-a-front-row-seat-176690?utm_medium=email&utm_campaign=Latest%20from%20The%20Conversation%20for%20February%2016%202022%20-%202202821848&utm_content=Latest%20from%20The%20Conversation%20for%20February%2016%202022%20-%202202821848+CID_8e10a0dcb5ad55d2fcc546e7c481066e&utm_source=campaign_monitor_uk&utm_term=The%20International%20Space%20Station%20is%20set%20to%20come%20home%20in%20a%20fiery%20blaze

Because we are usually much closer to the bottom of earth’s gravity well, we break apart much more slowly than the international space station will. Our “death” is usually far less firey and observed and recorded by far fewer witnesses and input sensors.

Wisdomtimes – 6 Interrogatives – The Mystery of Five W’s and One H

February 14, 2022

The following URL is a link to an article with a different and amusing take on The 6 Interrogatives:

Who, What, Where, When, Why and How. Hope you enjoy it.

http://www.wisdomtimes.com/blog/6-interrogatives-the-mystery-of-five-ws-and-one-h/

Regression to the Mean

May 20, 2021

Jack Bogle’s ghost warns about 401(k)s https://a.msn.com/r/2/BB1gUrmr?m=en-us&a=0  

As the article says “It’s worth taking a moment to reflect on just how good things have been for investors for a decade.”  But, “Enjoy making 12% a year, but don’t get used to it.”  It’s not going to last forever.  

Knowns and Unknowns

November 7, 2020

Are we really better off now than we used to be? In the old days we knew what we knew, and we knew there were things we didn’t know.  Today with the growth of data, machine learning and artificial intelligence, there are many more things we know and even more that we know we don’t know.  There are even things we could know but don’t bother to know, mainly because we don’t need to know them.  Someone else, or increasingly something else knows them for us, thus saving us the bother of knowing them.

We even discover from time to time that there are things we know that we didn’t know that we knew.  We are beginning to suspect that, more than all the things we know and know we don’t know, there are even more things we don’t know that we don’t know.  But we don’t know for sure that we don’t know them. If we knew this for sure (if we knew them) then it would just add to the things that we know that we don’t know and would no longer be unknown unknowns.[i]

It is kind of like the names of things.  Sometimes there are multiple names given to the same thing, and sometimes multiple things have the same name.  Of the two suboptimal situations multiple things with the same name is always the more vexing.  This is usually an intra-language problem and not inter-language problem, which makes it even more troubling.  You would expect a person speaking a different language would have a different name for something, but you might expect (wrongly it seems) that people speaking the same language would have the same name or names for the same thing.  Worse, people of the same language often have different polymorphic descriptors referring to the same object. 

What is even worse, a monomorphic descriptor can refer to a set of objects that can either overlap (like a Venn diagram[ii]) or be totally discontinuous, often without people even knowing that they don’t know.


[i] Conceptualized by Donald Rumsfeld February 2002.  Things we are neither aware of nor understand.

[ii] Conceived around 1880 by John Venn, according to Wikipedia.

Entropy and Consciousness, Part 2

September 25, 2020

This is a follow up to a previous article on consciousness and entropy:  https://birkdalecomputing.com/2020/05/03/entropy-and-consciousness/

We have entered into the age of uber-prediction.  No I don’t mean guessing when your hired ride will arrive, but an age when nearly everything is predicted.  Humans have, of course, always been predicting the outcomes of activities and events.  Predicting the future has been called an emergent behavior of intelligence. Our ancestors needed it to tell them the most likely places that the alpha predator might be hiding, as well as telling them which route would most likely be taken by the prey they are trying to catch.

There is a natural feedback loop between predicted outcomes and expected outcomes. If a predicted outcome is perceived to be within a certain margin of error of an expected outcome the prediction is said to have “worked” and this positive assessment (i.e. that the prediction worked) when it occurs tends to reinforce the use of predictive behavior in the future.  In other words it increases the occurrence of predictions and simultaneously increases the amount of data that can be used for future predictions.

In the past we did not have as much data or as much computing power to process the data as we have today. This had always acted as a constraint on, not only, the aspects of life that could be predicted (i.e. not enough data), but also on how quickly prediction worked in respect to the aspect of life being predicted (i.e. not enough processing power). Predictability now tends to “work” better than it ever did before because there is more data to use and faster ways to use it.  The success of prediction creates a virtuous cycle that reinforces the desire for more prediction.

The state of the world around us seems to be increasing in its predictability.  This leads me to believe that we must be pushing back more and more against entropy, which is defined by Claude Shannon in Information Theory as a state of zero predictability where all outcomes are equally likely. This means you need less new information to predict an outcome because the amount of ambient information is constantly increasing.  To make information work for you, often requires discovery of predictions made by others. Consequently you need to ask less questions to obtain a workable prediction. The less entropic a system, the less new information it contains.

Information is measured in the bit, or single unit of surprise. The more bits a system has the more possible surprises it can have and the less entropic it is. So it follows that the more information there is in a system, the more units of surprise it potentially has and the less likely it is to work as a predicted.