Tag Archives: Shallow Circuits

Pondering a path

It just hit me, I have no idea why, and I cannot vouch for the thought or prove any of it. I cannot say what happened. One moment I am contemplating the corrupting levels of the media, then I make a flash towards an AI presentation by Robert Downey Junior, then this happens. 

Consider the information we have in our heads, it does not matter what it is, it does not matter whose mind it is. It is information, yet the brain is a curious thing and I believe that there is path in our brains that is not really mapped, yet it is there, we merely haven’t found it yet. Perhaps it is stronger with some, perhaps the autistic have an answer, or at least some form of answer. 

These paths are not set in any normal ways, it is like our intuition. What if the definition “Intuition is a form of knowledge that appears in consciousness without obvious deliberation”, what if that is not the complete, or perhaps it is an incorrect view. What if intuition is guided, yet it is guided by the autonomous part of our brain. What if it adheres to some form of fractal approach to data? 

Consider the image. One part is actually a distorted image of paths, our normal thought processes based on available data, whatever data it might be. But the brain is taking. Larger step to make sense of it, almost like a whale has “the clicking sequences have been suggested to be individualised rhythmic sequences that communicate the identity of a single whale to other whales in its group. This clicking sequences reportedly allow the groups to coordinate foraging activities”, yet what if it is more? Almost like a multi dimensional organ? We state Physical modelling synthesis and how it is the waveform of the sound to be generated is computed using a mathematical model, yet what if that goes further than the mere approach to ADSR? When we consider attack, decay, sustain, and release in sound, we have the ability to revert any instrument to precision, what if the brain has its own form of that? Yet it will not be sound based, but some form of chemical based foundation, one that offers paths and choices but only the brain can make them and it is much faster than our own train of thoughts. Consider the image:

The black background, is our mind and the data it holds, the paths, the connections, a mere representation of what might be, but consider the amount of information we hold, over time it becomes a mess, it tends to be, so what if the brain has another system, a more fractal approach to the amount of data (the red lines and points) and it connects to all that information in other ways, it is how out intuition connects to all that data of sounds, smells, images and feels and it makes leaps, the red paths make for that, part of intuition, an unwavering set of paths that is controlled, not by us, but by the brain, its own shortcuts to all the mess we remember and that is how it gains the upper hand (at times). That is what AI do not have, at least not yet, because we haven’t been able to map sub conscious thinking for now, but the brain is chemical electrical and only alive is that system aware. I reckon that when we solve that one puzzle AI becomes a reality really fast. IBM has the hardware (Quantum computer) ad it is making strides into making shallow circuits a much larger part of it soon enough, but no matter how we slice it, no AI can self determine, not without the one part that is missing and I am representing it as red lines and dots. But it is mere speculation, so when we consider a fractal approach, my representation is inadequate and faltering, but for some reason the image broke through, I merely wonder why, perhaps it was because my mind considered the contemplation that people like Aleksander Ceferin and Gianni Infantino were swines and the members of the Suidae family took offence. When I see 

UEFA President Čeferin: ‘Spirit of solidarity’ makes football stronger than ever’, all whilst it was fear of losing income and someone told the media that they would lose billions, they all revolted, like pigs seeing their trough removed. And the media was ALL over that were they not, what a waste of space. So my mind came up with the part I wrote about and I have absolutely no scientific or any other evidence that there is ANY validity in the thoughts I was having, but this is the place where I give light to these thoughts and feel free to wave them away, I might have done the same thing, but there is something nagging in my brain and this is how it started, perhaps there is more to come, I cannot tell.

But there you have it, time to saw another log, at least there is that and I can snore the day away today. 

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Is it real?

Yes, that is the question we all ask at times, in my case it is something my mind is working out, or at least trying to work out. The idea that my mind is forming is “Is it the image of a vision, or is it a vision of an image”, one is highly useful, the other a little less so. The mind is using all kinds of ideas to collaborate in this, as such, I wonder what is. The first is a jigsaw, consider a jigsaw, even as the image is different, the pieces are often less so different, one could argue that hundreds of jigsaws have interchangeable pieces, we merely do not consider them as the image is different and for the most, how many jigsaws have you ever owned? With this in the back of the mind what happens when we have data snippets, a data template, with several connectors, the specific id of the data and then we have the connector which indicates where the data comes from, both with date and time stamps. But like any jigsaw, what if we have hundreds of jigsaws and the pieces are interchangeable? What is the data system is a loom that holds all the data, but the loom reflects on the image of the tapestry, what happens, when we see all the looms, all the tapestries and we identify the fibres as the individual users? What happens when we create new tapestries that are founded on the users? We think it is meaning less and useless, but is it? What if data centres have the ability to make new frameworks, to stage a setting that identifies the user and their actions? We talk about doing this, we claim to make such efforts, but are we? You see, as IBM completed its first Quantum computer, and it has now a grasp on shallow circuits, the stage comes closer to having Ann actual AI in play, not the one that IT marketing claims to have, and salespeople states is in play, but an actual AI that can look into the matter, as this comes into play we will need a new foundation of data and a new setting to store and retrieve data, everything that is now is done for the convenience of revenue, a hierarchic system decades old, even if the carriers of such systems are in denial, the thinking requires us to thwart their silliness and think of the data of tomorrow, because the data of today will not suffice, no matter how blue Microsoft Italy claims it is, it just won’t do, we need tomorrows thinking cap on and we need to start considering that an actual new data system requires us to go back to square one and throw out all we have, it is the only way.

In this, we need to see data as blood cells, billions individual snippets of data, with a shell, connectors and a core. All that data in veins (computers) and it needs to be able to move from place to place. To be used by the body where the specific need is, an if bioteq goes to places we have not considered, data will move too and for now the systems are not ready, they are nowhere near ready and as such my mind was spinning in silence as it is considering a new data setup. A stage we will all need to address in the next 3-5 years, and if the energy stage evolves we need to set a different path on a few levels and there we will need a new data setup as well, it is merely part of a larger system and data is at the centre of that, as such if we want smaller systems, some might listen to Microsoft and their blue (Azure) system, but a smurf like that will only serve what Microsoft wants it to smurf, we need to look beyond that, beyond what makers consider of use, and consider what the user actually needs.

Consider an app, a really useful app when you are in real estate, there is Trulia, it is great for all the right reasons, but it made connections, as it has. So what happens when the user of this app wants another view around the apartment or house that is not defined by Yelp? What happens when we want another voice? For now we need to take a collection of steps hoping that it will show results, but in the new setting with the new snippets, there is a larger option to see a loom of connections in that location, around that place we investigate and more important, there is a lot more that Trulia envisioned, why? Because it was not their mission statement to look at sports bars, grocery stores and so on, they rely on the Yelp link and some want a local link, some want the local link that the local newspapers give. That level of freedom requires a new thinking of data, it requires a completely new form of data model and in 5G and later in 6G it will be everything, because in 4G it was ‘Wherever I am’, in 5G it will become ‘Whenever I want it, and the user always wants it now. In that place some blue data system by laundry detergent Soft with Micro just does not cut it. It needs actual nextgen data and such a system is not here yet. So if I speculate on 6G (pure speculation mind you), it will become ‘However I need it’ and when you consider that, the data systems of today and those claiming it has the data system of tomorrow, they are nowhere near ready, and that is fine. It is not their fault (optionally we can blame their board of directors), but we are looking at a new edge of technology and that is not always a clear stage, as such my mind was mulling a few things over and this is the initial setting my mind is looking at. 

So, as such we need to think what we actually need in 5 years, because if the apps we create are our future, the need to ponder what data we embrace matters whether we have any future at all.

Well, have a great easter and plenty of chocolate eggs.

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News, fake news, or else?

Yup that is the statement that I am going for today. You see, at times we cannot tell one form the other, and the news is making it happen. OK, that seems rough but it is not, and in this particular case it is not an attack on the news or the media, as I see it they are suckered into this false sense of security, mainly because the tech hype creators are prat of the problem. As I personally see it, this came to light when I saw the BBC article ‘Facebook’s Instagram ‘failed self-harm responsibilities’’, the article (at https://www.bbc.com/news/technology-55004693) was released 9 hours ago and my blinkers went red when I noticed “This warning preceded distressing images that Facebook’s AI tools did not catch”, you see, there is no AI, it is a hype, a ruse a figment of greedy industrialists and to give you more than merely my point of view, let me introduce you to ‘AI Doesn’t Actually Exist Yet’ (at https://blogs.scientificamerican.com/observations/ai-doesnt-actually-exist-yet/). Here we see some parts written by Max Simkoff and Andy Mahdavi. Here we see “They highlight a problem facing any discussion about AI: Few people agree on what it is. Working in this space, we believe all such discussions are premature. In fact, artificial intelligence for business doesn’t really exist yet”, they also go with a paraphrased version of Mark Twain “reports of AI’s birth have been greatly exaggerated, I gave my version in a few blogs before, the need for shallow circuits, the need for a powerful quantum computer, IBM have a few in development and they are far, but they are not there yet and that is merely the top of the cream, the icing on the cake. Yet these two give the goods in a more eloquent way than I ever did “Organisations are using processes that have existed for decades but have been carried out by people in longhand (such as entering information into books) or in spreadsheets. Now these same processes are being translated into code for machines to do. The machines are like player pianos, mindlessly executing actions they don’t understand”, and that is the crux, understanding and comprehension, it is required in an AI, that level of computing will not now exist, not for at least a decade. Then they give us “Some businesses today are using machine learning, though just a few. It involves a set of computational techniques that have come of age since the 2000s. With these tools, machines figure out how to improve their own results over time”, it is part of the AI, but merely part, and it seems that the wielders of the AI term are unwilling to learn, possibly because they can charge more, a setting we have never seen before, right? And after that we get “AI determines an optimal solution to a problem by using intelligence similar to that of a human being. In addition to looking for trends in data, it also takes in and combines information from other sources to come up with a logical answer”, which as I see is not wrong, but not entirely correct either (from my personal point of view), I see “an AI has the ability to correctly analyse, combine and weigh information, coming up with a logical or pragmatic solution towards the question asked”, this is important, the question asked is the larger problem, the human mind has this auto assumption mode, a computer does not, there is the old joke that an AI cannot weigh data as he does not own a scale. You think it is funny and it is, but it is the foundation of the issue. The fun part is that we saw this application by Stanley Kubrick in his version of Arthur C Clarke’s 2001: A Space Odyssey. It is the conflicting part that HAL-9000 had received, the crew was unaware of a larger stage of the process and when the stage of “resolve a conflict between his general mission to relay information accurately and orders specific to the mission requiring that he withhold from Bowman and Poole the true purpose of the mission”, which has the unfortunate part that Astronaut Poole goes the way of the Dodo. It matters because there are levels of data that we have yet to categorise and in this the AI becomes as useful as a shovel at sea. This coincides with my hero the Cheshire Cat ‘When is a billy club like a mallet?’, the AI cannot fathom it because he does not know the Cheshire Cat, the thoughts of Lewis Carrol and the less said to the AI about Alice Kingsleigh the better, yet that also gives us the part we need to see, dimensionality, weighing data from different sources and knowing the multi usage of a specific tool.

You see a tradie knows that a monkey wrench is optionally also useful as a hammer, an AI will not comprehend this, because the data is unlikely to be there, the AI programmer is lacking knowledge and skills and the optional metrics and size of the monkey wrench are missing. All elements that a true AI can adapt to, it can weight data, it can surmise additional data and it can aggregate and dimensionalise data, automation cannot and when you see this little side quest you start to consider “I don’t think the social media companies set up their platforms to be purveyors of dangerous, harmful content but we know that they are and so there’s a responsibility at that level for the tech companies to do what they can to make sure their platforms are as safe as is possible”, as I see it, this is only part of the problem, the larger issue is that there are no actions against the poster of the materials, that is where politics fall short. This is not about freedom of speech and freedom of expression. This is a stage where (optionally with intent) people are placed in danger and the law is falling short (and has been falling short for well over a decade), until that is resolved people like Molly Russell will just have to die. If that offends you? Good! Perhaps that makes you ready to start holding the right transgressors to account. Places like Facebook might not be innocent, yet they are not the real guilty parties here, are they? Tech companies can only do so such and that failing has been seen by plenty for a long time, so why is Molly Russel dead? Yet finding the posters of this material and making sure that they are publicly put to shame is a larger need, their mommy and daddy can cry ‘foul play’ all they like, but the other parents are still left with the grief of losing Molly. I think it is time we do something actual about it and stop wasting time blaming automation for something it is not. It is not an AI, automation is a useful tool, no one denies this, but it is not some life altering reality, it really is not.

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About lights and tunnels

If we take the change of new technology (like 5G), we need to feel to be in charge. We tend to forget that part (I surely did at some point) and whilst I was considering a different form of new IP, I considered the small status that the thought came from a direction where my knowledge is not that great, I am no expert on technological 5G, I never claimed to be that. So when my mind grew towards a new form of mobile security towards 5G+ or even 6G, my mind set an image, yet the stage of routing, ciphering and deciphering waves are not the stages I am an expert in, yet forms of the solution come to me. I am not a mathematician, so I see images, images of clockworks, clockworks of gun cylinders and they intersect. 7, 9 and 11 shooters, cylinders of different properties are intersecting, what do you set when there are n 7 cylinders all with different time settings, n 9 cylinders and n 11 cylinders. Setting a larger stage of frequencies and cut stages that are linked, all set in an algorithm via a new form of routing, the result is a new stage of mobile communication that cannot be hacked, until true AI and true Quantum computing are a fact, the shallow circuits cannot cut through the mesh, a new stage of true privacy and at present Google and Huawei are the only ones even close to setting this up, even as they have the juice, they will need someone like Cisco to pull some of the weight. 

It would also seem a different stage to the mobile phone. I remember the old walkie talkies in the 60’s. The more advanced models had several crystals so that there was a unique signal. I wondered what we could do to emphasise on privacy in today’s mobile setting. In stead of crystals, we have a mobile phone, it is a transmitter, but what happens when it is not set to a band, but it can be set to 7,9, or 11 separate frequencies. A sort of time slice and that is the beginning, the carrier will give you the connection with the slices, their routers will set the connection and unless the hacker has the set, they can never get the entire conversation, unless they have every connection and then they would need to unscramble thousands of phones depending on the hardware whether they used 7,9 or 11 parts. If I get it to work in my mind, it could signal a new age of real privacy for people with a mobile phone.

But in the end, it is merely a sideline towards more interesting IP. The idea hit me when I was looking at a real estate site, which one does not matter. I was merely curious. It all started with a spec pal by Piers Morgan, he made a special on Monte Carlo and I was curious, as I had never been there. So as I got curious, I took a look and I noticed that speed was an interesting flaw, even on a mobile, a place where well over 50% of all searches are done, it took nearly forever. Yet when I took the Google Tester (at https://search.google.com/test/mobile-friendly) the site passed the test, it made perfect sense, yet the delay was real. I do not think it was them, or me. But it got me thinking of a different approach.
Google has had that setting for a long time, they call it the Lightbox ad. I had another use for the ad, or as I would call it, another media container. But the media container would require a different use, it would require the user to use a different approach, not that this would be bad, but it would optionally reduce the bandwidth that they use. If the app links to the toppling on the site, yet when we look, the app gets the link to the media container on the google server, the real estate data needs are not going via the offerer, it goes via the seeker and hey are either really seeking, or merely browsing, the browsers will no longer impede on the business, the seekers will not notice and these media containers can all be used for advertising all over the place, it is up to the realtor which ones are ready for advertising all over the place, and there is the larger kicker, it is a setting that (as far as I can tell) no realtor has considered and that is where the larger stage comes, because when 5G hits, the realtor will see a much larger benefit, they would not need to update (other then optionally an app), they will be ready, and they will push towards both their needs via their site, an app and via Google Ads, three directions instead of one and it will be a larger stage when no one was thinking ahead. 

There is light at the end of the tunnel, I switched on the lights, and no one cares who switched on the lights and that is OK, it is just that no one realised that the lights were not on, that should leave you with the consideration why no one realised that.


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The Lie of AI

The UK home office has just announced plans to protect paedophiles for well over a decade and they are paying millions to make it happen. Are you offended yet? You should be. The article (at https://www.theguardian.com/technology/2019/sep/17/home-office-artificial-intelligence-ai-dark-web-child-sexual-exploitation) is giving you that, yet you do not realise that they are doing that. The first part is ‘Money will go towards testing tools including voice analysis on child abuse image database‘, the second part is “Artificial intelligence could be used to help catch paedophiles operating on the dark web, the Home Office has announced” these two are the guiding part in this, and you did not even know it. To be able to understand this there are two parts. The first is an excellent article in the Verge (at https://www.theverge.com/2019/1/28/18197520/ai-artificial-intelligence-machine-learning-computational-science), the second part is: ‘AI does not exist!

Important fact is that AI will become a reality at some point, in perhaps a decade, yet the two elements making AI essential have not been completed. The first is quantum computing, IBM is working on it, and they admit: “For problems above a certain size and complexity, we don’t have enough computational power on Earth to tackle them.” This is true enough and fair enough. They also give us: “it was only a few decades ago that quantum computing was a purely theoretical subject“. Two years ago (yes only two years ago) IBM gives us a new state, a new stage in quantum computing where we see a “necessary brick in the foundation of quantum computing. The formula stands apart because unlike Shor’s algorithm, it proves that a quantum computer can always solve certain problems in a fixed number of steps, no matter the increased input. While on a classical computer, these same problems would require an increased number of steps as the input increases” This is the first true step towards creating AI, as what you think is AI grows, the data alone creates an increased number of steps down the line, coherency and comprehension become floating and flexible terms, whilst comprehension is not flexible, comprehension is a set stage, without ‘Quantum Advantage with Shallow Circuits‘ it basically cannot exist. In addition, this year we get the IBM Q System One, the world’s first integrated quantum computing system for commercial use, we could state this is the first true innovative computer acceleration in decades and it has arrived in a first version, yet there is something missing and we get to stage two later.

Now we get to the Verge.

The State of AI in 2019‘ published in January this year gives us the goods, and it is an amazing article to read. The first truth is “the phrase “artificial intelligence” is unquestionably, undoubtedly misused, the technology is doing more than ever — for both good and bad“, the media is all about hype and the added stupidity given to us by politicians connected the worst of both worlds, they are clueless and they are trying being dumb and clueless on the worst group of people, the paedophiles and they are paying millions to do what is cannot accomplish at present.

Consider a computer or a terminator super smart, like in the movies and consider “a sci-vision of a conscious computer many times smarter than a human. Experts refer to this specific instance of AI as artificial general intelligence, and if we do ever create something like this, it’ll likely to be a long way in the future” and that is the direct situation, yet there is more.

The quote “Talk about “machine learning” rather than AI. This is a subfield of artificial intelligence, and one that encompasses pretty much all the methods having the biggest impact on the world right now (including what’s called deep learning)” is very much at the core of it all, and it exists and it is valid and it is the point of set happening, yet without quantum computing we are confronted with the earlier stage ‘on a classical computer, these same problems would require an increased number of steps as the input increases‘, so now all that data delays and delays and stops progress, this is the stage that is a direct issue, then we also need to consider “you want to create a program that can recognize cats. You could try and do this the old-fashioned way by programming in explicit rules like “cats have pointy ears” and “cats are furry.” But what would the program do when you show it a picture of a tiger? Programming in every rule needed would be time-consuming, and you’d have to define all sorts of difficult concepts along the way, like “furriness” and “pointiness.” Better to let the machine teach itself. So you give it a huge collection of cat photos, and it looks through those to find its own patterns in what it sees” This learning stage takes time, yet down the track it becomes awfully decent in recognising what a cat is and what is not a cat. That takes time, yet the difference is that we are seeking paedophiles, so that same algorithm is used not to find a cat, but to find a very specific cat. Yet we cannot tell it the colour of its pelt (because we do not know), we cannot tell the size, shape or age of that specific cat. Now you see the direct impact of how delusional the idea form the Home Office is. Indirectly we also get the larger flaw. Learning for computers comes in a direct version and an indirect version and we can both put it in the same book: Programming for Dummies! You see, we feed the computer facts, but as it is unable to distinguish true facts from false facts we see a larger failing, the computer might start to look in the wrong direction, pointing out the wrong cat, making the police chase and grab the wrong cat and when that happens, the real paedophile had already hidden itself again. Deep Learning can raise flags all over the place and it will do a lot of good, but in the end, a system like that will be horribly expensive and paying 100 police officers for 20 years to hunt paedophiles might cost the same and will yield better results.

All that is contained in the quote: “Machine learning systems can’t explain their thinking, and that means your algorithm could be performing well for the wrong reasons” more importantly it will be performing for the wrong reasons on wrong data making the learning process faulty and flawed to a larger degree.

The article ends with “In the here and now, artificial intelligence — machine learning — is still something new that often goes unexplained or under-examined” which is true and more important, it is not AI, the fact that we were not really informed about, there is not AI at present, not for some time to come and it makes us wonder on the Guardian headline ‘Home Office to fund use of AI to help catch dark web paedophiles‘, how much funds and the term ‘use of AI‘ requires it to exist, which it does not.

The second missing item.

You think that I was kidding, but I was not, even as the Quantum phase is seemingly here, its upgrade does not exist yet and that is where true AI becomes an optional futuristic reality. This stage is called the Majorana particle, it is a particle that is both matter and antimatter (the ability to be both positive and negative), and one of the leading scientists in this field is Dutch Physicist Leo Kouwenhoven. Once his particle becomes a reality in quantum computing, we get a new stage of shallow circuits, we get a stage where fake news, real news, positives and false positives are treated in the same breath and the AI can distinguish between them. That stage is decades away. At that point the paedophile can create whatever paper trail he likes; the AI will be worse than the most ferocious bloodhound imaginable and will see the fake trails faster than a paedophile can create it. It will merely get the little pervert caught faster.

The problem is that this is decades away, so someone should really get some clarification from the Home Office on how AI will help, because there is no way that it will actually do so before the government budget of 2030. What will we do in the meantime and what funds were spend to get nothing done? When we see: “pledged to spend more money on the child abuse image database, which since 2014 has allowed police and other law enforcement agencies to search seized computers and other devices for indecent images of children quickly, against a record of 14m images, to help identify victims“, in this we also get “used to trial aspects of AI including voice analysis and age estimation to see whether they would help track down child abusers“, so when we see ‘whether they would help‘, we see a shallow case, so shallow that the article in the Verge well over half a year ago should indicate that this is all water down the drain. And the amount (according to Sajid Javid) is set to “£30m would be set aside to tackle online child sexual exploitation“, I am all for the goal and the funds. Yet when we realise that AI is not getting us anywhere and Deep Learning only gets us so far, and we also now consider “trial aspects of AI including voice analysis and age estimation” we see a much larger failing. How can voice analyses help and how is this automated? and as for the term ‘trial aspects of AI‘, something that does not exist, I wonder who did the critical read on a paper allowing for £30 million to be spend on a stage that is not relevant. How about getting 150 detectives for 5 years to hunt down these bastards might be cheaper and in the end a lot more results driven.

In the end of the article we see the larger danger that is not part of AI, when we see: “A paper by the security think-tank Rusi, which focused on predictive crime mapping and individual risk assessment, found algorithms that are trained on police data may replicate – and in some cases amplify – the existing biases inherent in the dataset“, in this Rusi is right, it is about data and the data cannot be staged or set against anything, which makes for a flaw in deep learning as well. We can teach what a cat is by showing it 1,000 images, yet how are the false images recognised (panther, leopard, or possum)? That stage seems simple in cats, in criminals it is another matter, comprehension and looking past data (showing insight and wisdom) is a far stretch for AI (when it is there) and machine learning and deeper learning are not ready to this degree at present. We are nowhere near ready and the first commercial quantum computer was only released this year. I reckon that whenever a politician uses AI as a term, he is either stupid, uninformed or he wants you to look somewhere else (avoiding actual real issues).

For now the hypes we see are more often than not the lie of AI, something that will come, but unlikely to be seen before the PS7 is setting new sales records, which is still many years away.


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