Posted in AI, Alexa, Artificial Intelligence, Google Assistant, MyCroft, Open Assistant, Siri

Real meaning of AI

I recently attend a conference of AI and Sustainability and came away with a different perspective. I have been doing this investigating for some time at other ‘AI‘ discussions and have resolved an understanding that what is being described as AI, as in Artificial intelligence, is in reality, only an example of the second stage of industrialist Revolution, the electronic analysis of (big) data to control manual (automated) machines.

The only element of the current AI (buzz) business that could be considered intelligent, is the intake, and analysis of data as a front end user interface to existing machine technology. Fundamentally the ‘Intelligence’ is only a programmed response to data changes which adapts limited machines, to adjusting to changes in the data, that it is designed to digest.

There is real AI, real sentience research going on, but it is years away from real applications. What the public has been seeing in Alexa, SIRI, Google Assistant, MyCroft and Open Assistant is just programmed ‘Simulated Intelligent‘ (SI) not real cognitive intelligence.

In the more extensive examples of ‘AI‘ or SI the ‘intelligence’ is just more complex, and adapts to more complex data sets than a simpler one. A device that converses with you is doing more analysis, of voice patterns, language syntax, and context. It does NOT understand what you are saying, it operates only within the limited, but expandable, programmed responses. So if a self driving car kills someone, it’s not the fault of the AI/SI it is the programmers fault for bad programming.

This whole interpretation of SI rather than AI will make for a great deal of Legal entanglements that will last for years. And meanwhile the development of real AI will develop to the point that when (I believe in when) there is a real AI, a sentient, cognitive Intelligence we will have to revisit the entire meaning of being alive.

And maybe then, we can worry about people losing their jobs due to AI.

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Posted in AI, Amazon, Facebook, Google, MyCroft

AI’s are coming, AI’s are here, AI’s are everywhere.

With all the talk about AI this and AI that you would think that Artificial Intelligence was easy. What is not apparent is that these AI advances are not native AI. They are the equivalent of thin client environments that connect lesser compute hardware to the real AI’s that reside within more massive environments. These AI (Ailites?) as we can call them, consist of front end audio parser’s (for input) and text to speech programs. In between there is a communications that forwards these parsed ‘language’ requests to a real AI that does the interpretation of the request and creates the text response that will be returned and spoken by the text to speech process on the client.

This all seems pretty interesting, but not a lot different than Apple’s SIRI, Mycroft, Google’s Speak or Amazon’s Alexa. These systems all have one thing in common, and that is to collect information on everything we do. Profiling technologies that will tailor responses and requests but will also record our interests and activities just like our browser activities do.

This are not the AI’s you are looking for. (but may be a lot of fun to play with)

Posted in AI, Amazon, Facebook, Google, Law

AI ≠ Sentience (as in does not equal)

AI ≠ Sentience. That pretty much says is all, but the dialog about AI almost always seems to really be, not about AI, but about AI’s reaching Sentience. The Killer robot syndrome.

But the future will entail more and varied AI’s than they will need Sentience AI’s. This doesn’t mean that the AI will not converse with you in a manor that most Humans do, it will just fall short of choosing to kill you, just because you cast aspersions on their parentage.

That will open the courts to trying to determine which AI’s are Sentient enough to have legal rights, and which ones merely need to be reprogrammed.  And wither the AI chooses to receive system updates or not.

Scary? Maybe, but we will be interacting with AI’s very soon, sooner than most will believe possible. And we will get get used to it, and it’s familiarity will naturally lead to Sentience being the norm.

 

Posted in AI, Artificial Intelligence

The color red, for the Blind AI

The diversity of humans and other creatures is often a cause of wonder, and this diversity is often reflected in our understanding of Artificial Intelligence (AI). Huge strides have been made in this field, but somehow the fundamental differences in Humans obscures the commonality of the ‘Human’ experience.

One of these factors is Sight, the act of seeing. While we often overlook this day to day, for an AI, or any robotic devices, intelligent or not, is the vision. This vision, our ability to see what other humans see is a basic element of language and communications. Try describing  the Color Red to a blind person, and you will quickly see the issue. No artificial ‘Eye’, sensor or camera in the AI/Robotic world ‘sees’ like we do, nor do any AI or robotic devices share the same ‘vision’ devices.

Explaining ‘Red’ to the blind is the same as two AI’s trying to explain ‘Red’ to another AI. Complex is not a big enough word to explain this.

The solution is problematic, the Technology of Seeing, needs to become a common denominator within the AI community. Current vision systems are at best a mixed bag, and require an upgrade, and a standardization that is currently lacking. And while the vision information obtained from the Human Eye and a Robotic replacement might attain equality, they may never contain the same data due to the differences in the technology. What must happen is that common robotic vision devices (eyes) need to be good enough and be interchangeable so that different AI’s can resolve the color ‘Red’ the same way. Paving the way for a common communication interchange regarding the external world.

Posted in history, IT Issues, Personal, Software

I.T. as street vendors

Yesterday while talking with a colleague, I was trying to get a cross the idea the most ‘programmers’ don’t understand what goes on inside a computer. And his response was, “Does it matter any more?” and while it took me back, I had to respond, “No!”  After sleeping on it, I came to a revelation of sorts.

Current IT is equivalent to being a Hot-dog vendor on the street.

And while we IT/CS folk might try and elevate our profession to that status of demigod status we are merely vendors of what the computer can DO!‘  We don’t create the computer, we splash condiments on the hot-dog, and sell it as computing.  We don’t even make the condiments anymore, call them libraries, functions written by gnomes in dark caves.  And don’t even mention the buns, the dressing ,the cover, beyond us.

In the early days of computing, the common question was, what do I use my computer for. And the first answer often was, you could put your cooking recipes in it.  Creating the first cookbook you needed to plugin. The computer is still the same, just that the cookbook has gotten more sophisticated.

I have harped for years that the ‘hardware’ of computing has crippled real advances in computing, more and more systems are opting for generic in their selection of Hot-dog instead, choosing to dress it up with more and intriguing spices and toppings, things like AI and Neural Networks.  While these latter are more sophisticated and sexy, they are more or less toppings on the same Hot-dog.

Posted in Education, Gender, Internet, Personal

AI (Artifical Intelligence)

There are a number of AI movies arriving in the near future, and the thought that seems to run through them all is that AI, Artificial Intelligence is depicted as being contained within humanoid constructs, frequently Female Humanoid. It brings up several interesting notions;

  • If one of the defining characteristics of AI is being ‘Self Aware’ can a computer, an AI contained within a box become self aware?
  • Does it need sensors to see, hear and touch itself to become aware of it’s existence?
  • Would a box be more or less likely to to identify with Humans if it identified itself as a box that thinks it’s alive?
  • Does an AI contained in a Female humanoid framework Identify with Female Humans? (and maybe hates Male Humans?)

All interesting things particularly in the event of an AI operating IoT (Internet of things) within a persons house. How would it ‘identify’ with the Humans, cats and dogs residing therein?

More than enough Ideas to make movies about.

Could an AI really be that angry about not having reproductive sex?

Posted in Economy & Business, Forecasting, IT Issues

Future Computing

Note to self, the computer is not built to do anything other than execute instructions, hardware advances over the years have only advanced the ability of the CPU to gather instructions, it does not make decisions about what to execute, or in what order to execute them in. That is the organization of the basic boot loader, in combination with the operating system loaded.

There are no elements of artificial intelligence built into the hardware, it has no ability to reprogram itself or to change it’s wiring. External forces must be applied to force change either by altering microcode-code in the core of the CPU (should that be possible) or by execution of programs within the confines of the operating system, instructions provided by the boot loader or via operating systems loaded and executing programs. It is through those processes that constitute what a computer does, with what it ‘sees’ .

Any hope of producing the next generation of computing must therefore be a revolution in how the CPU is instructed to perform it’s instructions, what is done with the output, and any associated hardware connected to the system to perform ‘tasks’ assigned by that process. The argument that Windows, or Linux/Unix or any other operating system is better than another DOES create opportunities and restrictions uniquely to any new programming, computing Paradigm.

Anything like artificial intelligence will have to preceded by a new suite of hardware, with a new way of ‘booting’ the system and or an entirely new operating system tailored to artificial intelligence operations. Current hardware/software standardization is at once the primary blockage to any future advances to computing.

UPDATE #1: IBM Creates Custom-Made Brain-Like Chip