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Chat GPT & Generative AI tools
- jamesedwards
- Posts: 6301
- Joined: Wed Nov 21, 2018 6:16 pm
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Could have been a credible defence for the Australian poisoner
- ShaunWhite
- Posts: 10882
- Joined: Sat Sep 03, 2016 3:42 am
Some might find this interesting...
Betfair Australia shooting the breeze about AI
https://youtu.be/gODvtuW4sjA?si=lg1j1Yxk7wm8MJPw
Betfair Australia shooting the breeze about AI
https://youtu.be/gODvtuW4sjA?si=lg1j1Yxk7wm8MJPw
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?
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?
- ShaunWhite
- Posts: 10882
- Joined: Sat Sep 03, 2016 3:42 am
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.
