Invacio Pulse

William James D West

Founder/Chairman at Invacio Research Analytica

Why Mark and Elon are wrong

Composed by Michael J Aumock 

Mark and Elon have been slowly ratcheting up the rhetoric and tweets on Artificial Intelligence, and it's impact on the world at large.

Elon says its the end of the world.

Mark says there's nothing to worry about.

But I say it's neither.

Both are obviously geniuses in their own right, although I'm told neither of them are master coders (in fairness, I can't code a thing). However, without having an understanding of the nuts and bolts of a thing, it's hard to truly understand the impact it will have on the environment. The larger the thing, the larger the environment, the larger the impact.

A.I. may be the largest thing since... well, the wheel?

The first flight? The first boat? Scotch?

It will affect everyone on planet earth. Everyone who ever lives in a colony in space or on another planet. It will have an impact on the entire future of we know it, or can even begin to imagine it.

But there's the rub.

Can we imagine it?

Can our regular old organic, singular brains even begin to imagine what a true, self-learning, self-correcting A.I. can come up with?

I don't think so.

A true A.I. will be able to process data (thoughts) at least 40,000 times faster than a human. With photographic memory. And without emotion to shade at any data.

So, hypothetically, if you start learning on your 5th birthday, remember everything, and learn for 12 hours a day, 7 days a week, you will be around 215 years old by the time you know as much as Invacio A.I.

When it's been on for one day.

And even that is a gross oversimplification, because A.I. will be able to learn in different languages.

All of 'em.

And Invacio, A.I. will be able to self-teach itself to see trends and epidemics before they even happen. Solve irrigation problems and food shortages years in advance.

A.I. will almost be able to see the future. The predictions that A.I. makes will make millionaires and billionaires around the world, but also solve problems that mankind has struggled with for years, because it let's us off the hook as individuals. It will see things in 20 hours that would have taken a team of scientists 20 years to discover. And by the next day, it will have improved on those findings exponentially.

As humans, we are taught that "every decision we make is the best decision we could make based on the knowledge we had at the time". That doesn't often change over the course of a day for us, but if we use A.I. to guide us, we can point to a much larger, un-impeachable source for our major policy answers. Nobody has to save face when their opponent solves a problem, or un-does something they worked hard to implement. We will in fact KNOW right from wrong.

This will eventually lead to a blind faith in A.I. which could be dangerous, only because it will eventually limit human decision-making ability.

Which is why Mark and Elon are both wrong on this... or are they both right?

William James D West

Founder/Chairman at Invacio Research Analytica

Trading with Jean our AI.

My Monthly Mashup.

Over the last 4.5 years, Invacio has taken many turns in it's development, not pivots but scale-out's within it's core functionality, leaving us today with what one could describe or as some in the team have described as a all-encompassing company. 

Word on tech street is that 'data' is the new black gold, i hear of so many VC backed companies or upstart companies flouting this as the next big thing which is good as we sit on a growing bank of some 1.9b datasets, and being in AI, the pairing of AI and Data is supposed to change the world in so many manner, all nice and a good read, however i don't believe people comprehend the complexity of such or if i am allowed to talk straight, i don't believe people actually have a frigging clue what they are talking about half the time, and just peddle their yarns for the hits, and then you end up with two titans arguing it out over Twitter (Elon/Musk) both looking at differently, one (my idol) so far out of the football field he is playing in the hockey rink...

See what Michael had to say on the Musk/Zuckerberg tweetdown here.

So as aforementioned, i've just peddled along, not peddled stories, completing our system one milestone at a time, i won't go in to the costs, the aggravation, the meltdowns, the trials and the staffing, i will just say it has been bloody hard, at the height of the development we had 70 developers, it was hard work, i mean looking at our offerings some with faces on (UX) others still with their engine chassis showing, i am some what proud, i was concerned however last week when Jean was let loose with her tools on the Dark Web and we had major red flags coming in that she was hacking something, what we did not know, relieved to hear it was a bitcoin creation hub, she was taught to find and archive information on bitcoin addresses and track them, instead she went back to the hive and decided to have it out with one, funny, but concerning, it could have been the CIA, NSA or some other three letter agency which would have resulted in me having to either work for uncle sam or be fucked for uncle sam in some pay to play prison cell. 

See my blog on this here.

Anyway we had to teach her some further new ground rules, she is adapting, crazy thing is she likes to bend rules, i am looking forward to connecting a few more systems up and possibly putting a UX interface to her somewhere, however the guys say this is unwise, i mean she swallowed the CIA released archive of 10m+ documents in a evening, analysed them and dumped them after creating networks of information, and this being without all the libraries of information, books and so on that she has been going through, who are we to judge whether something is wise, she may be a child in mental terms, or a piece of autonomous code in others, but she knows more than i, really we should be asking her for her wisdom on such...

Now comes the great part, as may know i've invested a great deal of time, resources and what not in the financial markets, my aim (socialism) open it up, fuck the global economy and make it a free for all just because i like disruption and enjoy a bit of chaos over the weekend was unfortunately over-ruled, however this did not stop Jean coming in with her daily dumps of where companies should be sitting, i of-course don't mean just their positions but their directions short and long term, i mean she literally reads some 250 TB of data fully operational every day, and this is just the basics of the spider, when fully on the petabyte servers we are building in our back office are going to become full quite quickly, anyway back to topic... we've been observing and perfecting on Jeans analysing skills for some time with Agnes, we thought, seeing as we don't have VC (nor want) we do need to raise some revenues to continuously fund the development, thus open Agnes which would be a slither 0.000000001% of data/invacio/aquila offerings in a pure dump form daily of where stocks would go and so on, we however decided to include mobile messaging and also a page within to observe from logged in, arty farty stuff for those 'big swinging dicks' that don't know a thing about code, but apparently know their shit so much about trading their ego is generally as long as their line of Charles in the evening. 

Anyway, at first it was 70% accuracy on EOD figures and direction 99%, now we're looking at 95-99% accuracy on EOD figures and direction 99%, not bad, some more changes due till we make this main stream..

Mind, to narrow it down a bit more, currently we are dumping roughly 500 tickers in to the dump, but will increase this to the 1.5m we follow and incorporate our sheer volumes of data for short and long term offerings. 

Knocking it out for i think £250 as a package a month rising to £500, its not free, how i'd have preferred, but it is certainly a good deal i mean, it was such a good deal look what jean could achieve, if you were a trader, could you do better the first time and consistently?

In other news, Ben's been sorting the petabyte server racks, and shirts and oh stickers... they all seem to be going mad over them in the team, i guess it waits to be seen in due course whether mainstream has the same affection we've created building the system(s).

As always, tongue in the cheek, thanks for reading and good day, oh and do take some time to check out Aquila in our first video.

If you have any questions hound Andres our COO [email protected]

William James D West

Founder/Chairman at Invacio Research Analytica

Jean being naughty and autonomously scale-hacking

For reference, Jean is the AI system in the middle of our system, a multi-neural-net driven AI, aptly named after my 90ish grandmother, that is to her era and the ability at her age to complete multitudes of tasks, anyway, Jean was the name i dubbed and stuck with over the process of this development, and slowly but surely we couple more facilities around 'her' eventually building a framework where she can begin programming her own extensions on top of her ML, AL, DL, BI and what ever other buzz words are being thrown around at this time... ultimately Jean is 'True AI' and the underpin to the system.

Only over the last few days, have we coupled additional 'limbs' to Jeans system, that is the opening her up to the outside world in her own capacity giving her free reign of the various spider A.I limbs, but going further by allowing her autonomy, to which she set about the open-net and dark-net, naturally with an abundant of self/machine learning modules in place that were to be the base line for her to build upon, she began building her own patterns across the sectors, throwing out her spiders in all directions and chasing down each avenue that compelled her interest, naturally with such tools of all the analysers of invacio (again, limbs) at her disposal, and processors which in return educate her further, it was not long till she was  looking for ways to "hack" utilising vulnerabilities such as open ports, attempting the cracking ssh fingerprints, or crypto addresses, etc  to move into, naturally to gather more data, being data hungry, naturally none of this was being observed as i did not consider there would be any concerns so early on...


Reading the following article from the Guardian i was surprised to learn just a generic tool piece for Jean was in such high demand, with the expectation that as AI comes online, that  there is the demand for a "an autonomous hacking system that could find and fix vulnerabilities in computer systems before criminals could exploit them, and without any human being involved?", interestingly enough something Jean appeared to be doing, that was till Amazon begun bombarding me for the slave clusters we allow her system to run through to leverage cloud teach on demand for her users, that in fact she was on a full frontal attack of a specific IP that she had narrowed down, 4 emails laters and mass concern on using their services for illegal practices i felt compelled to lock her away from her 'limbs per-se' for the greater good till we had a understanding on what her intention was, i mean this IP is not attached to any public server we could see, not any domains, nor any networks we've got in anyway communicating with us, but Jean really, to say the least appeared addicted to it, and would not stop bombarding it, all autonomously, scaling her self and resources, attacking either via DoS/brute, port side, eaves-dropping, waterhole etc, pretty much throwing all processes at it from her capabilities..., without any input or oversight, truly a interesting spectacle, and if it were not the amount of reliance we have on the cloud whilst our technology centre is finished, i'd have continued to observe without having a concern they would fry our accounts, anyway all very interesting, and related to a location on the dark-web/net rather than open web, which was more interesting.


William James D West

Founder/Chairman at Invacio Research Analytica


Article by Michael J Aumock

Artificial Intelligence, while we have created it to exist in machines, it is 100% man-made.
It might prove to be the greatest creation of all time, but it's still got human fingerprints all over it. And with those fingerprints, comes the very real potential for human error.
Design, programming, data input, code, every part and component of an A.I. is built by man and put in motion by competitive, sleep-deprived, greedy, temperamental, imperfect man.

What could possibly go wrong?
Artificial Intelligence is capable of learning, and self-teaching. True A.I. can process every byte of data it receives and integrate it in an intelligent manner with every other byte of data it's received in the past, or will receive in the future. However, I believe the real danger in A.I. not the so called runaway sentient machine....
It's poorly executed programming, incomplete coding or otherwise shoddy workmanship creating a poor version of an A.I. that doesn't learn, or can't learn properly. Whether on purpose or accidentally, an A.I. that can't learn correctly from it's own mistakes is a dangerous thing.

How many inventive coders have the time, patience and financial wherewithal to push START after a year of coding and hard work, and then pull the plug 3 days later and go back to the beginning to fix an early error and build it all again as Invacio did in the early days?
In my experience it is that most would rather find a VC willing to invest in a "great idea that doesn't quite work yet" and then cave in to pressure to launch before all the bugs are cleaned out. Thus, you end up with a well-funded, over-promoted, under-performing "Faux A.I." that will cause tremendous problems down the road.
It's not evil per se, but it is not good.

Bots as AI
Another area of concern is bots being called A.I.
Bots have a specific task in True A.I., and while some of those tasks are quite complex, at no point to they qualify a bot as an A.I. on its own.

True A.I. learns
The differentiator of a true, well designed, built and executed Artificial Intelligence is self-learning, and eventually self enhancing/scaling (which is Invacio's direction).

Realizing that, like was born (built) perfect, but not complete. As it gains in experience it realizes it has the potential to better itself by allowing new information to become part of it's internal memory, and in fact, self-correct, and understand that some of it's old data was incorrect, and the new data is right. And accepting that in time, what is "right" today, might change in the future. Yes, I am talking about a purely sentient A.I.

A machine that, without any human intervention after a certain point, can learn, understand and function in the world of humans, as a separate, sentient "being".
We give the machine the rules, the base line data and the boundaries of learning, and it goes out to the world and teaches itself based on those rules and boundaries.
I expect there will be some challenges as it asks questions of itself like "Why do humans smoke tobacco?" or "Why can't machines drink Scotch?"
But, if a machine is given the right tools, rules and guidelines to self-learn, self-correct and understand where new data fits in it's internal memory, over time (probably minutes) it will form it's own answers to these and a million other questions.

But if a Faux A.I. is struggling with the "Why do Humans smoke" question, and uses that information to decide that since "smoking causes cancer, humans are suicidal" and decides to help us along so that we don't suffer...Well, now we've got a problem.
The problem is that early adopters to A.I. are entities like communications companies, countries, huge multinational corporations. Medical and Pharma companies. Looking for competitive edge. Looking for a glimpse into the future.

If that glimpse is based on incorrect data, or a faulty base algorithm, then all the assumptions that come after are flawed and the data will be useless. So while there will be a staggering amount of money in play, there is also the human cost while people rush to invest or invent in the wrong direction.

So the key to a safe, functional, sentient A.I. is good groundwork. A solid foundation.
Set the table properly and take the time to teach the A.I. how to learn, how to self correct and how to exist in a world of humans.

William James D West

Founder/Chairman at Invacio Research Analytica

Why I'm Not Afraid of A.I. - M.J Aumock

Composed by Michael J Aumock.

Terminator- Rise of the Machines" Just the mention of Artificial Intelligence brings the entire terminator franchise, iRobot and countless other "Tech Gone Wild" horror flicks to the forefront of the conversation.

When I agreed to do some work for Invacio, I was fairly inexperienced in the world of Artificial Intelligence. I was more of a skeptic than most, but I also have a clear grasp of human nature, for better or for worse. So I bring that with me to the A.I. table when I started doing research into the platform, the process and the end result. The Invacio Artificial Intelligence algorithm is tremendous in scope and scale, but it is just an algorithm. Or, more accurately a network of algorithms that work together to make billions of computations in real time, or so i thought... Then there is 'Jean' at the heart of the system, self learning and self creating like a honeycomb of outlets and inlets... 

This will dramatically shake up some industries, especially software, and any sort of consultation business that relies on experience or wisdom.

Most Wisdom comes from being able to combine the things we see in front of us, with the things we know from our past. In generations gone by, that was extremely valuable, because it didn't need to be looked up in a book or library or dusty old repair manual. First hand knowledge was fingertip knowledge that could be deployed instantly by a seasoned expert. Their experience was valuable, and they were paid for it, whether by a company with regular raises for so many years of service, or by themselves and the market if they were leveraging that knowledge to oversee others.

The way AI works, is by conglomerating enough base-line data, (Hundreds of millions or billions of bytes for starters) and building an algorithm that can sift through that data and discern answers to complex questions based on seemingly unrelated pieces of information. The key to A.I. is time. If you have enough people sifting through all the known data, the answers to literally every question will soon lay before you. Thousands of people have invested thousands of hours trying to determine what happened to Amelia Earhart... when the odds are that the data is in the books, but unrelated to the search at hand... someone would have to have the knowledge of where the exact data was to correlate it with the search, when it could be a photo of a child at the beach or a honeymooning couple with the tailpiece of the missing plane in the background. Human eyes would take centuries and still probably miss it, where an A.I. will see that Tailpiece and recognize it instantly as the same year and model as the plane Fred Noonan was navigating that day.

That's the first part of A.I. The second part is the "spiders" that crawl the web and look at every new piece of data and incorporates it into the search algorithm. Social media, news, .edu sites, search data etc...If its on the web and can legally be accessed, Invacio accesses it and incorporates it into the algorithm.

So the combination of existing historical data, combined with instant feedback from what is happening in the world at this very second, is what makes the Invacio equation.

When we release the spiders and start accumulating real-time data about seemingly unrelated things, and realize the implications of being able to see omnidirectionally regarding finance, disease, energy, global weather concerns, migrations of animals and people, we will have a clear picture of global truths unlike any ever imagined before, at our fingertips.

But this collection of data, of cumulative real-time truths means nothing without a human brain and a human hand to deploy it, harvest it, plant the seeds and send it along on it's way.

When Gary Kasparov says in his book, "Deep Thinking" that he "believes the future is a “human plus machine combination” — merging the brute force of calculation, machines, and algorithms with human experience and strategic overview." I tend to agree with him, take comfort in his words and look to the logic that he's basing them on. When human is competing against a machine, the machine will eventually win. But when human AND machine compete against a machine alone... the human/machine team win. That is what makes the Invacio equation so compelling, and why, ultimately I'm not afraid of Artificial Intelligence.