Wednesday, September 7, 2016

Viewpoints

Truth deals with viewpoints. When we need to assess truth in a processing sense, viewpoints would help set control, such as with parameters, filters, and so forth.

Today, I happened upon Beck's book, having to do with "pants on fire." Normally, I would not have paid attention to the book, however there were none other available to me at the time. Besides, I have always randomly chosen books to read. As well, these times are not normal (or so it might seem).

Well, in his book, Glenn was writing about progressives (a Wikipedia page: Progressivism). I took note of some historical references. For instance, he mentioned Phillip Berrigan who was well known, with his brother, as a peace activist, especially during the Vietnam War. Glenn devotes space to Phillip's experiences during the Battle of the Bulge. He touches upon Hegel and others.

The idea of the book is to lay out how the elites are those who reign, not that we don't see the same sort of thing with the other side of the fence. What caught my eye was the quiz. Here it is.
The questions are phrased so as a high score would put you in that group. What ought to interest us is that there are many discussion that could be had with each of these questions. Too, some of that analysis might lead to a middle position. The scoring allows for that with a range from Ron Paul to Bernie Sanders.

Neither of these names need explanation in the U.S., given the times.

What is impressive is Glenn's collection of notes. I'll give him a lot of credit on that.

In this day of technology, I wonder if we might see some supposed smart system rating people with quizzes like this. Then, you would get your badge for the day.

I'll take being accused of getting up on the wrong side of the bed, anytime, to such an quizzical endeavor.

Back to Glenn, though. I don't know if he understands Hegel. At the very least, Glen misconstrues what Hegel was about.

Remarks: Modified: 09/07/2016

09/07/2016 --

Wednesday, August 24, 2016

Recap, somewhat

Our first post was in 2007. It asked if truth could be engineered. We know what engineering is, for the most part. That is, schools of engineering abound with a curriculum that we can see. Too, though, engineering is large than that, in the sense of being applied science.

Engineers do, solve problems, make things, improve our lives, and an endless number of things. Too, they generate, whether by design or not, lots of experiments, from which we can learn.

Of late, engineering has been applied to finance. How is that, we have to wonder. On what science is such engineering based? Well, if you look closely, the views of this discipline seem to be searching for perpetual motion. The physicists running after money seem to have forgotten their basics.

Then, we have computation being put upon us pervasively. Everywhere. Many times, this is just due to some notion of youngsters who are looking to make money. You see, money has taken some type of prominence in the definition of truth.

Bigger pockets rule. Is that so? Essentially, we are at a crux, but that state of affairs is nothing new. It is that now we are dealing with the grand kids of the boomers, not the boomers themselves. Watch out, world.

There would be a lot more to say to make this a real recap, but being brief does have some appeal.

Remarks: Modified: 08/24/2016

08/24/2016 --

Sunday, July 3, 2016

Church of Hilbert Space

This has a nice ring. It is not new, however until now, I found no applicability. The advent of Deep Learning (DL)'s prowess is one motivation for looking again.

The "Church" statement (first attributable to John A. Smolin) deals with quantum information theory. DL is fostering both mania and hysteria related to the unknown, unbounded potential for computing and for us losing control of our artifacts.

One could think of several churches. Wouldn't that be fun?  

Remarks: Modified: 07/03/2016

07/03/2016 --

Thursday, June 16, 2016

Deep learning

A latest fad is deep learning which I characterize thus: sophisticated manifestation of fuzzy approaches abetted by numeric modeling and by Monte Carlo walkabouts. It is very expensive.

First some pointers to material:
Now, as a way of introduction, this approach supported AlphaGo's success. That is, a game that was supposed to be hard for computers was not. Too, people are lining up for jobs.

You know what? Many of these jobs are to pick people's pockets via the commercialism of the web/cloud.

Some think that they can get into this through a boot camp. But, realize, it takes a PhD level of work in order to know the guts. And, that takes time and effort.

Personally, for me, I am thankful. Finally, I see the world gaga about that which is the core of Truth Engineering's motivation.

Remarks: Modified: 07/03/2016

07/03/2016 -- Answer in Quora: What product breakthroughs will recent advances in deep learning enable?



Tuesday, May 31, 2016

Content and context

Context: OfficeLiveContent, and all that.

This topic comes up again with my experimenting with an install of Windows 10. After going through the work and wait, I went into my personalization mode. So, then things looked like they did on Windows 7.

That was about a day. Of course, I didn't have to watch. Too, I was in and out, so it was not solid time.

Then, I tried to get to work. But, the thing was running hot. Let's say, enough to get my attention.

On a closer look, memory was about full. The CPU was maxed out. What? Well, the biggest culprit for the heat was was the memory manager that was compressing. After I got rid of some dinosaurs not being used, memory went down to about 50% usage (I have 6G).

But, the processors were at 100% (something chasing its damned tail). And, I have a dual set that was the latest four years ago.

All I was doing was typing a post like now. I multi-task, but I know how to balance things. I do not need the supposed smarts which are not very insightful.

Let this old guy tell how.

Anyway, I went back to Windows 7 until I can work a strategy to get the compression removed. If that is not possible, I'm stuck. Android? Linux?

I have been using this beast for four years now. Publishing. Computing. In my way which is not trivial. I know what the hell that I am doing. BTW, I had a BSOD the other day but now what was going on. Altogether, there have been only a handful over the past four years (as opposed to Vista/XP that seemed to like to barf). Too, Windows 7 has so many updates/installs accumulated that the tangle is a nightmare.

Finally, to the theme. We use computers to manage content within a context. Some of these are very much non-trivial. I'm not gaming. I'm not TV watching. I deal with intellectual items and use the computer as an assistant.

I do not need Cortara (whatever).

Listen up, folks. Of my generation and the leading edge of the boomers, we have people that know computing. They know what they want to do. We need to be able to configure a system that allows this type of work. Keep the flim-flam out.

If I want to do that, I'll get another system just for playing. Four years ago, it was the move from OfficeLive that opened up doors. Now, it's this. Fun times.

Remarks: Modified: 05/31/2016

05/31/2016 --

Tuesday, April 19, 2016

References and more

As the world moves, so does the universe of knowledge. So, one needs to keep an active eye. One way that we will do this is via collections of sites to watch.
Knowledge, nowadays, involves the cloud which entails the computational which is dependent upon mathematical insights. In short, STEM as the new type of sand (into which heads are thrust - not want to know type of thing).

Remarks: Modified: 05/31/2016

04/19/2016 --

Sunday, April 17, 2016

Mania or hysterics

A few days ago, we did a quick summary, related to intelligence which is a poorly understood thing, to say the least. Truth engineering deals directly with this subject.

Some have touted artificial intelligence as a means to understand ourselves. At least, again, some part of ourselves. And, we have no issue with a lot of this. In fact, science needs this thrust.

But, artificial intelligence? Actually, we know "artificial" as it pertains to the mode and means, which is via computing (various ways). And, with regard to that, we have a whole lot to say.

Right now, though, we can see two types of reaction that are getting press. Say, I saw this being discussed on a national TV show (Sunday morning variety) with youngsters weighing in with gravitas. Well, it's nice to hear certitude being expressed. Except, and a big except, science is provisional.

Is that being lost in all of the mania and hysteria? What? The mania deals with strong AI (as in, suggesting that the artificial will trump humankind in significant ways - let's talk limits, there). Hysteria? At the same time, we have those saying things like "summoning the demons" as the reality in this situation.

Now the hysteria can be thought of as a paranoid mania. So, we are talking sides of the same coin.

Per usual, there are those in the middle where the real rational minds venture, in just about anything.

Given our technical focus, we can look at limits on technology and natural constraints on modeling as important items to know more about. Too, there are capabilities that humans can exhibit if given the chance. The main problem is that the quantifiers have had a field day.

In some cases, they have accumulated almost uncountable amount of wealth. Yet, to what end? And, how is it that we need such for determining truth?

Remarks: Modified: 04/17/2016

04/17/2016 --