K AI QMA
Introduction
The Football is Fixed Network have been working for three decades on creating systems thinking approaches to the analysis of the sector, the markets, the corruptions, the hierarchical machinations, the evolution of oversight & regulation, the integration of components, the utilisation of white hat hacking to gather hidden information, the critical impacts of cause & effect, cybernetics, the psychology of human behaviouralism, the appropriate inversion of disinformation offered by mainstream media & their talking heads, apportioning of criminalised constructs plus the analytics relating to military strategy & turf wars between organised crime groups (locally, nationally & globally).
By addressing these factors individually and how they interact in complex (and often unexpected) ways, we have been slowly but surely creating a very powerful tool K AI QMA.
In more recent times we have been trialing the resultant composite both specifically (in the underground global betting markets through our broker) and holistically (in the progression of systemic hyperrealities).
Analytical Approaches
K AI QMA incorporates an ever-evolving continuum of analytical approaches.
We began in the mid-nineties with a machine learning-based use of neural networks which mimic the manner in which neurons in the human brain communicate. Neurons are aggregated into layers to create different transformations on inputs that flow through the network to produce outputs. Via the repeated training up of neural networks using bespoke back propagation techniques, these networks are able to undertake predictive modelling.
Excitingly, these networks learn from experience (just like most humans) and we are able to develop robust conclusions from disparate and, to the untrained eye, entirely unrelated sets of data, knowledge and information.
This is a key advance - incorporating hard data in numerical form with non-subjective fuzzier nodes e.g. the role of corruptions (both systemic and semi-systemic).
The resultant neural networks have been a part of the market making process in global betting markets over recent years..
The key threshold that must be achieved in this long term project is kaizen - where the neural networks demonstrate a self-generated state of continuous improvement over time. In effect, they think our futures on our behalf.
K AI QMA is unique and bespoke.
In many ways, Artificial Intelligence as applied to the football industry is actually nothing more than deep machine learning even though the best examples might well be very deep. We agree with many others that something cannot be termed Artificial Intelligence until it possesses consciousness and the median date for that utopia currently stands around 2035.
Or never.
The security people in the Football is Fixed Network have colossal confidence in K AI QMA.
Let's look at some of the foundations of this confidence.
Firstly, having 30 years of bespoke databases developed in real time is a significant advantage. The monitoring of the contortions in football and the betting markets as such progressions were happening have allowed a hologram of the realities to be pictured as and when they occurred.
This is a huge advantage as otherwise it would be impossible to 'look back' at these advancements from where we now stand.
So, for example, the oscillation in recent years in corruption in the Premier League between systemic and semi-systemic matrices is extraordinarily difficult to reconstruct with hindsight as some of the fuzzier inputs (see below) are not able to be reconstructed efficiently or accurately. These repetitive bifurcations have to be modelled in real time.
Secondly, the longevity of our research (neural networks were one of the key reasons why our Network based ourselves in Bucuresti from 2004) enables experimentation to be undertaken as the sport evolves. Hyperparameters were discovered and utilised from 2004 onwards and a large amount of experimentation was streamlined using stochastic neural networks and other Bayesian realities (see the second article in this triptych to be published in March 2025).
Thirdly, the pot-calling-kettle reaction of OpenAI boss Sam Altman to Deepseek allegedly using distillation of his products to train up the Chinese open source alternative when Altman stole the data of others to train up his own product doesn't apply with K AI QMA as all distillation was internal and, moreover, proprietary.
Nobody has our unique databases.
Fourthly, we swiftly adapted and extrapolated the work of David Orrell to develop our Quantum Market Analytics that has now been virtually fully assimilated within K AI QMA.
We fully address Quantum Market Analytics in the final part of this triptych (to be made public in April 2025).
Fifthly, a critical input to creating something akin to K AI QMA is to have extensive talents in modelling closed systems. It should not be a surprise to anyone that Llang Wenfeng (the founder of Deepseek) initially trained up his network to aid his High-Flyer hedge fund.
Football betting markets share structural similarities with international financial markets in that there are a finite number of inputs to the future oscillations in market price. This isn't the time nor place to fully explore these inputs but both infrastructures are closed systems. In football, for example, the price of oil, currency oscillations, trade tariffs and political changes are of no consequence to the sport (or are so peripheral as to be virtually irrelevant).
Cosmology is also a closed system represented by the laws of physics and defining occurrences such as.the inflationary period or the birth of dark matter or the cause behind the cosmic microwave background etc.
As an aside, there are also cutting edge cosmological inputs affecting markets but that is a research project about which we are not willing to comment currently.
The upshot is that closed systems are easier to model than other infrastructures!
Sixthly, it is critical to avoid irrelevant inputs in deep machine learning. The general rule is that everything that is subjective should not form a part of the learning processes. Our structure has produced two valid outliers to this generalisation - i) historical inputs related to, for example, forensic psychology or the monitoring of the body language of corrupt participants may be made robust by aggregating across members of the Football is Fixed Network; ii) some fuzzy inputs have been made performative by incorporation into configurative structures.
Seventhly, the vast majority of current attempts to use deep machine learning to predict future market realities exist in the box labelled 'rubbish in, rubbish out'. It will take decades for these constructs to be able to mimic the success of K AI QMA which will, of course, itself have evolved over that time period. Just as the universe is expanding at an ever faster rate, K AI QMA will extend its lead over most competitors into the future.
Eighthly, the modelling of carefully mined data and constructs over a 30 year period produces a continuum of holograms of the evolving hyperrealities of the football sector.
The continuum of knickpoints, breakpoints, bifurcations, quantum leaps, structural reformations in market and sector constructs markedly enhance the resultant deep model.
This evolution has parallels with the physical reality of spacetime where slices of reality exist going backwards in time all the way to the Big Bang but may only have been truly witnessed if one was around at, say, baryogenesis or cosmic acceleration.
Ninethly, being a direct action cellular network, we have inputs that simply don't exist elsewhere - for example, we have copious amounts of data and evidences from white hat hacking, from private detective work, and via intercepts and information / transcripts privately made available to us as we are perceived (correctly) as a trustworthy body.
Tenthly, deep machine learning is being integrated into every aspect of our Quantum Market Analytics from the decisions about what data to collect to the integration and interpretation of such data. Additionally, some events are far more interesting than others in that they reveal significantly more valuable information. Our use of generative deep machine learning allows more complex questions to be asked and these questions stretch further into the future enhancing the performativity of the network.
K AI QMA evolves via unexpected occurrences.
K AI QMA models uncertainty.
Business Structure
Unlike Deepseek, Football is Fixed have absolutely no intention of making K AI QMA open source.
Additionally, we have no intention currently to licence the product to any entity.
The club we are liaising with on a pre-contractual basis understand that this for the moment exists as merely a high level consultative arrangement.
One of our lawyers who markedly helped in the creation of K AI QMA is the late and great David McNeight - a mathematician who became one of Europe's leading patent lawyers.
Never ever let go of your data was one of his mantras.
The training up of K AI QMA with three decades worth of bespoke data is one of our unique selling points - nobody has this data, nobody can create what we have created (see Conclusion for the exception that proves this rule).
As a direct action network, we additionally bring a very unique perception of the realities at play. The Football is Fixed Network are not an insider looking out nor are we an outsider looking in but, rather, we are a freethinking construct that has 'liaised' with insiders (often without permission) from all power loci in football throughout the development of K AI QMA.
Our focus is only partially on remuneration as K AI QMA is merely another development in the saving of as much integrity in football as is possible in a late capitalism template.
Financially, we need lifelong enhanced security, the ability to continue sousveillance in real time and a decent level of living. Nothing more, nothing less. Any excess profits will be regenerated for social projects.
We have signed a pre-contract with a leading club but we were not willing in the negotiation process to fully couple ourselves with this entity. The construct is mutually beneficial in that the club has access to new inputs that help address corruptions perpetrated against their interests, for example, while we are able to more fully enhance our very beautiful K AI QMA.
At the conclusion of this season, we will begin the process of approaching and interviewing other entities that have an interest in K AI QMA.
And when we reach the stage where we are totally confident that K AI QMA is robust enough through self-generated kaizen, we will sell K AI QMA to the highest bidder in a blind auction.
That deal will be with a club that isn't corrupt, a South East Asian market maker or a regulatory body with teeth.
We refuse to engage with organised crime groups on any level whatsoever other than mockery, destabilisation and exposition.
Applications To The Football Sector
There are far too many manners in which K AI QMA may be used in the football industry to be listed here.
But it is obvious where some of the enhancements exist for our partners (current and future) - clubs will outperform rivals via the outputs of K AI QMA and market makers will price markets more efficiently leading to a reduction in hedging, for example, and regulatory bodies will be able to detect and act on corruptions more swiftly and more proactively.
In effect, K AI QMA turns the corruptions from an insidious distortion of a beautiful sport into a competitive advantage at the expense of those undertaking criminal behaviours.
We have often repeated the hyperreality that once you attach a market onto a sport, the sport is terminally corrupted with the market taking coercive control. What K AI QMA proves is that to understand this new Sport 2.0, you have to understand the corrupting markets that are leeched onto it.
Corruption is never exhilarating but the eradication of corruption most certainly is.
Simplistic machine learning is being proffered by organised crime to tilt legitimacy in matters like referee selection, market obfuscation, fixture list distortions, tournament construct biases and a whole host of other aspects that have no place in a sport of integrity.
To say that K AI QMA finds solving such naive constructs facile, is itself facile.
Cartels will be fragmented, insider trading will be monitored, outed and terminated, organised crime will be cornered in constructs of their own making.
K AI QMA twists the flux.
We toy with the zeitgeist of corruption (the gap between the fans' perception of reality and the actuality of the criminalised construct).
It is hardly rocket science for K AI QMA to 'solve' corruption events like the recent Premier League match between Crystal Palace and Brentford as individuals across the spectrum were actively involved in an entirely rigged event - nothing was left to chance.
Where K AI QMA excels is in more complex corruption constructs where different power groups seek to control the match outcome from different vantage points - such events share parallels with a poker table where Entity A is trading on control of the clients of one football agent, Entity B knows that the visiting team will be taking performance enhancing substances, Entity C sees the insider trading from one power base, Entity D has coerced a goalkeeper to perform appropriately while Entity E controls the referee and the VAR official. And, also, Entity E is interacting with Entity A.
K AI QMA solves these events.
We are already in conversations with the British state over how K AI QMA might enhance Great Britain PLC.
Football is a huge soft power earner for Britain and the future performativity to the state is being demolished by the short term smash and grab of organised crime.
We have been reliably informed that the deeper levels of state markedly prefer a more robust strategic template existent into the future rather than a private equity-type structure where mafia extract all of the value plus the soul of integrity from the sport and stash it offshore away from prying eyes.
Over time, Britain gains most from a legitimacy in the sport and gains least from a mafia matrix.
Conclusion
Football is Fixed is by no means the only player in this three-dimensional chess match.
Terry Steans, the former head of global investigations at FIFA, introduced us to an individual who undertook a Ph.D in Artificial Intelligence at the Massachusetts Institute of Technology and who, rather than tread the well worn path to Silicon Valley, elected to work instead for a South East Asian market maker.
And, excluding K AI QMA, the pinnacle of this pyramid of enhanced deep machine learning (by a considerable distance) is occupied by Tony Bloom, the chairman of Brighton & Hove Albion. Not only has Bloom successfully modelled the global betting markets, he also recently sacked all scouts at the club once he had trained up his transfer market model to self-generating progressive levels of performativity.
Football is Fixed cannot compete with this latter transfer market application yet nor with the level of power engagement achieved by state entities like Manchester City in their transfer activities.
That is a project further down the line.
But we are able to markedly enhance performance in relation to betting markets and the reading of structural realities at both clubs - in Bloom's case to take more sophisticated control of the betting markets and to further enhance his exponentially inflating legacy operation and, in Manchester City's case, to protect themselves against corruptions undermining the success of the club institutionally and on the field of play, as a couple of examples.
Our current focus to evolve K AI QMA to commercial completion is on consciousness.
As an amateur philosopher of cosmology, I see consciousness as the ultimate prize, not to 'discover' it in the manner that Roger Penrose would approve but to fully develop a more primordial input to deep machine learning.
Modelling things that aren't yet understood is a feature of cosmology.
Dark matter and consciousness exist as examples in this near vacuum.
If you are interested in our K AI QMA project then please show patience.
We are not willing to meet or hold discussions with potential clients during this pre-contract window.
Following the third post in this triptych, we have put time aside to address the feasibility of future partners and engagements.
Patience is a virtue.
And.
For the craic, the second part of this triptych will be published on St Patrick's Day as he also got rid of a whole bunch of snakes.
We're done.
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The Football is Fixed Network is unique.
We are in a niche of one.
We have no competitors.
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We are in a niche of one.
We have no competitors.
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