Lying through Hypes

I was thinking on a Huawei claim that I saw (in the image), the headline ‘AI’s growing influence on the economy’ sounds nice, yet AI does not exist at present,not True AI, or perhaps better stated Real AI. At the very least two elements of AI are missing so that whatever it is, it is not AI. is that an indication on just how bad the economy is? Well, that is up for debate, but what is more adamant is what the industry is proclaiming is AI and cashing in on something that is not AI at all.

Yet when we look at the media, we are almost literally thrown to death with AI statements. So what is going on? Am I wrong?

No! 

Or at least that is my take on the matter, I believe that we are getting close to near AI, but what the hype and what marketing proclaim is AI, is not AI. You see, if there was real AI we would not see articles like ‘This AI is a perpetual loser at Othello, and players love it‘, we are handed “The free game, aptly called “The weakest AI Othello,” was released four months ago and has faced off against more than 400,000 humans, racking up a paltry 4,000 wins and staggering 1.29 million losses as of late November” this is weird, as we look at SAS (a data firm) we see: “Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks“, which is an actual part of an actual AI, so why do we see the earlier mentioned 400,000 players with 1.29 million wins whilst the system merely won 4,000 times shows that it is not learning, as such is cannot be an AI. A slightly altered SAS statement would be “Most AI examples rely heavily on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data” The SAS page (at https://www.sas.com/en_au/insights/analytics/what-is-artificial-intelligence.html) also gives us the image where they state that today AI is seen as ‘Deep Learning’, which is not the same.

It is fraught with a dangerous situation, the so called AI is depending on human programming and cannot really learn, merely adapt to programming. SAS itself actually acknowledges this with the statement “Quick, watch this video to understand the relationship between AI and machine learning. You’ll see how these two technologies work, with examples” they are optionally two sides of a coin, but not the same coin, if that makes sense, so in that view the statement of Huawei makes no sense at all, how can an option influence an economy when it does not exist? Well, we could hide behind the lack of growth because it does not exist. Yet that is also the stage that planes are finding themselves in as they are not equipped with advanced fusion drives, it comes down to the same problem (one element is most likely on Jupiter and the other one is not in our solar system). When we realise that we can seek advanced fusion as much as we want, but the elements requiring that are not in our grasp, just like AI, it is shy a few elements so whatever we call AI is merely something that is not really AI. It is cheap marketing for a generation that did not look beyond the term. 

The Verge (a https://www.theverge.com/2019/1/28/18197520/ai-artificial-intelligence-machine-learning-computational-science) had a nice summary, I particularly liked (slightly altered) “the Oral-B’s Genius X toothbrush that touted supposed “AI” abilities. But dig past the top line of the press release, and all this means is that it gives pretty simple feedback about whether you’re brushing your teeth for the right amount of time and in the right places. There are some clever sensors involved to work out where in your mouth the brush is, but calling it artificial intelligence is gibberish, nothing more“, we can see this as the misuse of the term AI, and we are handed thousands of terms every day that misuse AI, most of it via short messages on Social Media. and a few lines later we see the Verge giving us “It’s better, then, to talk about “machine learning” rather than AI” and it is followed by perhaps one of the most brilliant statements “Machine learning systems can’t explain their thinking“, it is perhaps the clearest night versus day issue that any AI system would face and all these AI systems that are dependable growing any economy aren’t and the world (more likely the greed driven entities) cannot grow any direction in this. they are all hindered what marketing states it needs to be whilst marketing is clueless on what they face, or perhaps they are hoping that the people remain clueless on what they present.

So as the verge ends with “In the here and now, artificial intelligence — machine learning — is still something new that often goes unexplained or under-examined” we see the nucleus of the matter, we are not asking questions and we are all accepting what the media and its connected marketing outlets are giving us, and when we make the noticeable jump that there is no AI and it is merely Machine learning and deeper learning, whilst we entertain the Verge examples “How clever is a book?” and “What expertise is encoded in a frying pan?

We need to think things through (the current proclaimed AI systems certainly won’t). We are back in the 90’s where concept sellers are trying to fill their pockets all whilst we all perfectly well know (through applied common sense) that what they are selling is a concept and no concept will fuel an economy that is a truth that came and stood up when a certain Barnum had its circus and hid behind well chosen marketing. So whenever you get some implementation of AI on LinkedIn of Facebook you are being lied to (basically you are marketed) or pushed into some direction that such articles attempt to push you in. 

That is merely my view on the matter and you are very welcome to get your own view on the matter as well, I merely hope that you will look at the right academic papers to show you what is real and what is the figment of someone’s imagination. 

 

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