Hi all,
It's been a while since my last update and I have some massive news to share with everyone.
After months of slow system development I took a break for a couple of weeks. During this time I looked into AI and all the recent advancements and a week later I had built a neural network connected to my database and have been busy training it to develop its own systems (or selection methods). A neural network is like a basic AI that functions like an intelligent human brain and can learn to analyse datasets and provide predictions based of it's own deep learning process. It needed a name so I called it SRAI (speed rating AI) and let me be clear in a year full of total game changers this is without doubt the ultimate.
During the first test run I didn't want to influence SRAI in anyway during the initial deep learn process or formation of the network so I started with a blank slate and set a target of developing flat speed based systems with maximum ROI. It was a slow process to begin with as SRAI was processing 100,000's of races during the initial cycles but he finished his analysis of the database and created dozens of profitable systems.
Some of the systems SRAI developed were similar to mine which showed that I was at least on the right track with my manual development process. However he also created dozens of new systems and out-performed any of my hand built equivalent systems in some cases by a sizable margin. Wrap your head around that. I built something in a week that is smarter and better at this than me...
What just happened for those who read that and are lost and wondering what the fuck I am talking about is the AI neural network I built and called SRAI tested every selection combination possible and created the most optimium systems from the dataset. I didn't need to do anything other than give SRAI a target which in this case was maximum ROI. Again I cannot begin to express how much of an absolute game changer this is.
SRAI v1.0 was replaced with FSRAI v1.0 (flat speed rating AI) and we are now on v3.0 which is FSRAI and his flat speed rating systems in their final form. He has finished development on the flat speed rating systems of which there is 4-5 variants that cannot be improved on any further. I will recap the results of backtesting and the performance of these over the coming days when I get time but the results are excellent. FSRAI's all weather counterpart AWSRAI (all weather speed rating AI) is in the process of developing the all weather variant of these systems but we are limited by our processing power especially in the early cycles.
I did try to teach SRAI the Valger Danue process but he did not get it so I need to give some thought to how I am going to approach this. Plus I need to test more and Valger Danue is next on the agenda once AWSRAI gets the all weather systems finished which should hopefully happen in the next few days. It is definately much easier for these AI NN's to build a speed rating based system rather than learn the Valger Danue fuckery 😂.
I am looking into ways to increase my processing power as that is the only limiting factor at present. I have hundreds of ideas I want to teach them and let them find how to unlock profit but we can only do one at a time and believe me it is a slow process despite AWSRAI running all day and night. For the processing speed I want I need quite a bit of hardware which comes with a £10k price tag so I need to find a compromise. Plus it's a whole other field I need to study and learn at a time whenever time itself is precious.
This is pretty much my dream realised. The entire process from compiling the speed ratings to the selection process to updating the database is almost all automated now. And to be honest this step which I always thought was the impossible one was not as difficult as I thought it would be at all. I have been using a number of the online language models to help me develop the code for the AI. It literally does all the work for you copy and paste and I had my own basic AI learning network up and running within a week. Could not believe it was that easy.
Unfortunately I won't get to unveil FSRAI until next year but believe me it will be worth the wait. As soon as his all weather alter ego finishes his deep learn of the database and finalises his systems I will start to share his selections. Get me back in the way of posting here again. My time is being spent at the moment developing a process map for the intital Valger Danue code to try and guide the AI which is not easily with such a complex system. The speed rating variants of Valger Danue should be easier to build and the simple system should be one of the easiest as it only has two or three parameters.
Anyway I just wanted to say hello and share what is the most massive news ever. I am planning a massive 2024 campaign and as you will see when I share the backtesting results and system performance we should absolutely smash it next year.
See you all soon.
Darth Niloc
Hi Darth, any update on this? I paid a vast sum of money to someone to build something similar (yet to see the end product) so would be great to know how you're finding ai in terms of racing - cheers, Ben
Darth I'm glad your back and enjoy listening to your journey and seeing ur results. Hopefully ur be sharing them and we can all have a bit of our money back from the bookies
Hi Darth
Always a pleasure, out of my depth, I went to school with Fred Flintstone.
I see there using AI to trade the financial markets and the bookies use them to sift out winning accounts.
Good luck