Chat GPT & Generative AI tools

A dedicated space to explore and discuss how cutting-edge technologies are reshaping sports trading and betting strategies. Collaborate on innovative ideas, and stay ahead of the curve in a rapidly evolving landscape.
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jamesedwards
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sniffer66
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jamesedwards wrote: ↑
Sun Sep 20, 2026 11:44 pm
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Could have been a credible defence for the Australian poisoner :)
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ShaunWhite
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Some might find this interesting...

Betfair Australia shooting the breeze about AI
https://youtu.be/gODvtuW4sjA?si=lg1j1Yxk7wm8MJPw
Gcampb
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I just put up a substack article on my take of AI vs more traditional statistical analysis

https://open.substack.com/pub/hoofs/p/i ... st-publish

I do think AI has its place - however my overarching opinion is that if you are using AI to analyse a racecard, you obviously want a repeatable process - so tomorrow’s analysis is the same. So if that’s the case, the use case for AI in racing analysis is not the actual analysis - it’s developing the repeatable process programatically.

The big issue with pure AI analysis is that it’s hugely expensive to create a meaningful backtest of analysis - so if you develop some kind of ai analysis process, running that process over the last 2 years of races will cost a serious amount in tokens. You can test it on live races, but how long do you need to build up a meaningful sample to determine if it’s working or not?
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ShaunWhite
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Gcampb wrote: ↑
Sat Oct 17, 2026 10:46 am
The big issue with pure AI analysis is that it’s hugely expensive to create a meaningful backtest of analysis ?
Why AI? Have you exhausted ML? ML gives you a semi-transparent repeatable model cheaply. And it's already set up for using seperate training and validation data. You can even configure it to repeat the training each night, adding the previous day's data, and then automatically promote the model to live if it's better. An ML model is also lightning fast whereas AI is relatively slow for live trading.

Not really just a question for you, I'm just curious about why people are going to AI rather than ML.
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