Thursday, October 20, 2016

Two ways chatbots can exchange data

Through their own language interfaces and through standardized data exchange formats. It could be like a secret handshake.

An idea from S Donaldson's "The One Tree"

He repeatedly expresses the idea that when you love something and it is stolen, it is even worse to get it back, broken.

Over on my other blog, I am distressed that readers still are wholly confused about the simple things I have been writing about for years. With whatever sort of spirituality I own, loving the beauty of the woods and all, and with a reasonable sense of the current state of scientific knowledge on this particular subject, I find it repugnant to hear of people lying down in burial mounds and looking up at the stars.

The thing I love is the discovery of these mounds. To show them to people and have them apply ideas which only work for a negligible fraction of the available samples - a population of samples far broader and variable than most people realize - is hard. I am afraid I don't have much patience for it.

Wednesday, October 19, 2016

"That" and "It"

I recently put "that" into a list of causality words because the phrase "we were over a bar that was noisy" seems to carry a sense that the bar 'causes' the noise. This sense of causality puts one in a particular narrative framework that is not necessarily related to the old grammatical 'part of speech' definition for the word "that". The 'narrative' reductio is alien to the old grammatical definitions and, hopefully, cuts across them. We'll see, if it turns out I am sorry I put the word into that list.
Update: Perhaps it is simpler to consider "that" to be an attributor like "with", describing a property of the bar. But it is also a property of the experience and its influence on the writer. Still unclear...

Tuesday, October 18, 2016


Going in exactly the wrong direction in some things but, otherwise, probably the authoritative approach to communicating topic context. Gotta get that in Narwhal someday!

I was playing with online demos of ALICE and of CLAUDIO today at  . Here is a fun experiment: what happens if you feed output from ALICE as input to CLAUDIO and vice versa? Do they reach a fixed point? They would have to unless those programs can generate longer and longer texts.

Monday, October 17, 2016

From an article about Apple hiring AI experts

"Salakhutdinov has published extensively on neural networks, a branch of AI critical for voice and image recognition technology..." [here]

The word "critical" is incorrect and shows the risk of sucking on the bottle of Neural Nets. I am familiar with applying Neural Nets to all of the kinds of image recognition tasks I have encountered in my career*, and I can tell ya: neural nets are a disappointment. My whole shtick is the necessity for model based recognition. For years, companies like Cognex sold image recognition systems using simple template matching - let alone anything sophisticated.

(*) Including gray scale 2D video in general; video microscopy; character recognition; semiconductor defect recognition; and defect pattern detection; 3D feature recognition.

Update: Also reading about Apple dropping its efforts to develop self-driving cars. Is it that they could not get their neural networks to work, so they are doubling down on that technology? Since AI innovation is not going to come from that direction, I wonder whether there is now no one at Apple with a broad enough technical vision that they are listening to the conventional wisdom about how AI is supposed to be done? In any case it is time to sell your Apple stock and buy IBM.

Saturday, October 15, 2016

"The Elements of Narrative" published

I have to admit I am a bit pleased. Let's go have a look. Ouch! a cheap looking website. Anyway, here is the email I got:

  Congratulations! Your paper has been published at October 2016 issue in IOSR Journal of Engineering.

Your paper has been published on following link:

Thanks and Welcome!!!

Friday, October 14, 2016

Dreaming about the mathematics

Given the sorts or semi-mathematical ideas as narrative continuity and invariant transformations of narrative, and given that the entire pattern recognition framework is in the context of a fiber bundle, it is almost guaranteed that there are Euler numbers and beautiful theorems to find.