Artificial Intelligence (AI) and Large Language Models (LLMs) are so hot right now, so we sat down to find out what the big fuss is all about and what it really means for our little world of mountain biking. Consider this a piece of performance art, as we use OpenAI‘s ChatGPT not only to generate a short intro for our podcast, but also to answer and discuss some of the more relevant questions we like to ponder in conversations with our guests. How do you get into the sport? What are the best places to ride? How could we use the technology to improve mountain biking? Can you make it more awesome for everyone? And of course we had to ask one of our signature close-out questions and find out what it knows about a great skid! We had a lot of fun playing with the software and hope you also enjoy this chat with ChatGPT!
Episode artwork created with OpenAI‘s Dall-E 2 using the following prompt:
a picture of two downhill mountain bikers sliding through a digital landscape made of computers and screensPrompts we used for the recording
write a short introduction to the skids & giggles podcast for two hosts talking about chatgpt and mountain biking in Switzerlandis it difficult to get into mountain biking?what are the best places to get into mountain biking?is Switzerland good for mountain biking?do you think AI will ever enjoy mountain biking?how would you optimise a mountain bike ride?how can you make mountain biking more awesome?what makes a great skid?
Haha inspired me to have a play with ChatGPT for something MTB related instead of thinking of work things to solve.
Turns out for injured shoulder and fractured ribs it’s really generic info about cold/heat treatment and rest and visit a doctor.
It was able to write me a song about mountain bike punks and even gave me a chord progression – not that I can play my guitar
Best one though was “I’m 189cm tall what’s my ideal reach” and apparently it’s 440-470mm. Errrr yeah, but nah….
Bobo just had it create a funny mountain bike script and videoed it drunk – very funny.
Great podcast – thanks guys 🙂