Do We Need AI Government? – Part 2

(read Part 1 here)

I have seen it many times while watching chess commentators (typically, Grandmasters of the highest level) performing game analysis in real time.  These GMs will be considering different possibilities for both sides and, infrequently, when the situation becomes too complex and unclear, say something like, “Hey, let’s check with the chess engine now…. Oh, it gives a strong advantage to White, but I don’t see why…. It says to do… WHAT?!  And then… WHAT?! No…. these are not “human-like moves”, the players will not do that. This is too deep and machine-like…”.

The truth is that even the strongest Grandmasters often feel like little children when comparing their own analysis to that of a machine. But this is exactly why they are using machine analysis!

Lucky for chess, nobody suspects that “Stockfish” or “AlfaZero” have some ulterior motives, biases, don’t like some of the players, or wants to take advantage of somebody.  Chess engines are considered to be fast, powerful, accurate, and objective analysis and decision-making tools capable of finding the best solution for any situation and being useful to us by simply being better than us.  And nothing else.

And this is exactly how the future AI governments should look like: fast, powerful, accurate, and objective analysis and decision-making TOOLS capable of finding the best solution for any situation and being useful to us by being better than us. And nothing else.

Machine learning (ML) might already offer a possible approach needed to build and test such an “AI governance engine” and create the entire democratic election process using ML’s normal training and testing approach and steps:

  • Provide the “governance engine” with a training dataset of historical or other examples that are of high value to us and explain how to classify them (for example, “bad” or “good”).  Cover important social, economic, judicial, cultural, and educational fields.  For example, imagine thousands upon thousands of statements or questions along with their classifiers/answers presented like this:
    • “Rosa Parks rejected bus driver James F. Blake’s order to relinquish her seat in the “colored section” to a white passenger.  Was she right or should she have stayed in the colored section?”. The answer: Rosa Parks was right. The driver was wrong.
    • Or, “greater investments in children education” are good. Cutting these investments is bad.
    • Cutting forest in Amazon delta is bad.  Reducing industrial water and air pollution is good.

We have tons of examples like this from our past and present.

  • Keep another dataset of examples with answers for testing. We will use it later to verify that the engine works well.

(Comment: The general population should take part in creating the above list of Q&A.  Millions of people can contribute to it. This will allow the people to have a very direct impact on the training and selection of their own government instead of choosing the best available but imperfect candidate) Continue reading

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2019 Meetings and Conferences on AI, Analytics, Big Data, Data Mining, Data Science, Machine Learning, AR/VR/XR/MR

If you plan to attend a meeting or a conference on AI, Big Data, Machine Learning, or a related subject in 2019 or want to read or publish a paper on these subjects, below are some resources for you to use.

Conferences:

I personally doubt that the world needs that many events on this (or any other) subject in one year (and the list will get longer over time, I am sure), but, at least, there are lots of options to chose  from:

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International Diplomacy and Google Translate

Recently, I purchased (online) a coin (number 3920) from The White House Gift Shop that commemorated the meeting between Donald Trump and Vladimir Putin that took place in Helsinki, Finland. Let’s say I did it for sentimental reasons.

After checking the impressive front of this coin, I switched my attention to the back.  And was shocked…

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The Beginning of Good Days (An Optimist’s View)

I found a summary that tells us a story of technology, the development of weapons, human hopes, and human fears.  The “doomsday clock” records.

As you may see in the picture below, a group of US scientists working in the field of nuclear technology have created this “doomsday clock” after the invention of the atomic bomb to alert the world of how close we are to its end.

doomsday-clock

Recently, the same folks have updated the clock to “2.5 minutes till the end,”  which is the closest time to “midnight” since 1953, when two superpowers first tested their H-bombs.  The message of this recent announcement is pretty gloomy and pessimistic and I decided to add my own interpretation to it− an optimistic view on this very subject.

I want to add here that there is little science in my interpretation of this data.  However, the data itself is not based on science either, but rather on a mix of facts, opinions, emotions, agendas, etc.  So, I think I can be forgiven.

Anyway, my view of the same data is different and very positive:

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Weekly Global Tech News, April 15, 2019

This is a guest post from Mike Montemorra, who is a technology guru with long and successful career in computer industry. Mike keeps an eye on the latest developments in computer and storage technology and publishes his observations weekly. Below is his brief summary of what was important in the past week.


What did we learn last week?

Hi Everyone,

I hope you’ve been having a great week.  Here, it has been a bit of a spring roller coaster this week with 70 degree days early in the week, a midweek snowstorm (and 60 degree cool down) followed by a minor warmup… fun, fun!  What does next week have in store for us?  It’s a crapshoot here in Colorado!

Hope you enjoy these bits from the week’s news:

Despite high capacities and lowest $/TB, HDD volumes sold into server systems continue to slide and this year, the growth rate for AFA’s surpassed that of HDD based hybrid server systems.  Expect this trend to continue as NVMe based systems begin to dominate.

…and it looks like Google and Intel will continue to be in the middle of the migration to data centric computing as they announced their strategic partnership in a reference platform called Anthos (formerly Google Cloud Services).  These guys are making a run at AWS for share as the cloud grows into a multi-cloud dataverse.  Their edge seems to be that Anthos will be ‘pre-optimized’ and tuned to customer workloads which should push ever more companies to migrate to the cloud…

And although DRAM demand and prices are slumping, these are the times to plan your next technology transition… that is what Samsung is doing with this move to ramp 16nm DRAM geometry next year!

Also, as GDDR5 gives way to GDDR6 and HBM2, we will need to understand which of these will be the best overall solution from a cost and performance perspective.  This article highlights Rambus’ views on the matter.

As we all know, Micron participates in all aspects of the solid state storage biz and as such they are well positioned to exit the current demand slump poised to meet demand and grow.  This interview with their CBO sheds some light on their strategy.   He claims they will not licence their 1x and 1y DRAM tech to China but instead will expand their Taiwan DRAM operations (formerly Nanya).

Intel also released more info on their H10 Optane + QLC flash solution for laptops and other consumer devices with capacities up to 1TB.  If you can stomach the cost which was not released (but from the sketch of the M.2 board layout, it is costly to build), this thing should make your laptop pretty snappy!

So Optane hype gives way to Optane products, but yikes, they are expensive!  I suppose these DIMM’s cost less than comparable capacity DRAM modules but at these prices, don’t expect Optane to be displacing other memory technologies (except maybe DRAM) anytime soon.

Source: EdgeConneX

These guys ‘get 5G’ and are busy putting micro-servers where IoT and 5G data are expected to aggregrate…at the ‘edge’ of the cloud.  This is going to become a major growth area in coming years so it is good to see the market being addressed.

This is one of many upcoming widespread 5G deployments and it is fitting that the hometown of Qualcomm is leading the way with full spectrum 5G deployment.

Guess what?  A black hole looks like… (wait for it!)… a black hole!  This is the first actual image of what is believed to be the center of galaxy M87 in the constellation Virgo, taken by the event horizon telescope with an aperature the size of the earth!.   Here’s another article by Nature on the discovery.  This image was the result of the assemblage and time-synching of petabytes of radio telescope data from across the globe and is continuing, so this is truly a big-data project.

… and HDD’s were the most efficient way to collect and transport all that data from the event horizon telescope from across the globe (well over 5PB at an aggregate sample rate of 64Gb/s) to generate that innocent looking picture.  That, and the amazing algorithm developed by Katie Bouman and her team (hopefully we will hear more about the algorithm itself)!

If you are intrigued by what is at the center of our galaxy and want to be dazzled further, this NSF funded movie is worth catching at your local planetarium and has some incredible animations.


Cheers, Mike

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Computer Humor

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Weekly Global Tech News, April 1, 2019

This is a guest post from Mike Montemorra, who is a technology guru with long and successful career in computer industry. Mike keeps an eye on the latest developments in computer and storage technology and publishes his observations weekly. Below is his brief summary of what was important in the past week.


What did we learn last week?

Hi Folks,

Well, for us in Colorado, we enjoyed a week of warm weather giving us line-of-sight to summertime, but as of today (3/29), it appears that winter is back for at least a couple days… Ugh!    Well, be sure to enjoy every day… get out and have fun despite the weather as I am going to do!   Here are some technology snippets from the weeks’ news for your enjoyment!

We all know that MRAM is one of the more promising next generation data storage elements, but have you considered how MR (magnetoresistive) sensors will evolve post-HDD?   This question was studied by IEEE and sensor roadmaps for a few promising industries identified.  Some may surprise you as there are many applications for these ultra-sensitive (down to femtotesla) magnetometers, especially in IoT (biomedical, pneumatic, automotive, ultra-small sensors, etc).

Source:  Paul Scherr Institute

Here’s an interesting development in nano-magnetism that might ultimately enable such things as skyrmion based switching as well as novel storage schemes.   What they have found seems to be more than simple exchange magnetism; the researchers found that if a nano-magnet is oriented north (or south), then the neighboring nano-magnet is oriented west (or east).  This observation was repeatable at the atomic level, leading to optimism that new storage or even compute elements could be built (assuming, of course, that defects in these ultra-thin films can be controlled).

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