AI coaching bots

By the time the athlete has read that, the session will be over…

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AI generated or generalised sessions?

i have been pondering this topic further and think that the key difference between coached and AI is summarised by “knowing about” and “knowing of”

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A bit like the conversation on the sub 4 thread, I’d guess AI will do a half decent suggested training plan that you used to get off Fink etc

A human coach (should) take into account things like life, tiredness, weaknesses, e.g. more cycling if that’s a weakness. AI might improve but a coach should be able to be more reactive.

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Here’s a 16-week sub-4 hour marathon training plan, averaging 26.2 miles per week and about 3.1 days of running per week.

:bar_chart: Plan Overview:

  • Target Time: Sub-4:00 (9:09/mi or 5:41/km)
  • Weekly Volume: ~26.2 miles / 42.2 km
  • Running Days per Week: 3 or 4 (avg ~3.1)
  • Key Runs:
    • Long Run: Builds endurance
    • Tempo / Marathon Pace Run: Builds lactate threshold
    • Speed / Hills / Intervals: Improves VO2 max and strength
  • Cutback Weeks: Every 4th week to allow recovery

:spiral_calendar: 16-Week Marathon Training Plan (Sub-4 | 3 Runs/Week Avg)

Week Long Run Speed / Tempo Easy / Recovery Total Weekly Miles
1 8 4 Tempo 3 Easy 15
2 9 5 Easy 3 Easy 17
3 10 5 Tempo 3 Easy 18
4 6 4 Easy Rest 10 (Cutback)
5 11 6 Tempo 3 Easy 20
6 12 6 Hills 4 Easy 22
7 13 5 Tempo 4 Easy 22
8 8 4 Easy Rest 12 (Cutback)
9 14 7 Tempo 4 Easy 25
10 15 6 Hills 5 Easy 26
11 16 6 Tempo 5 Easy 27
12 10 5 Easy Rest 15 (Cutback)
13 17 7 Tempo 5 Easy 29
14 18 6 Hills 4 Easy 28
15 12 5 Tempo 3 Easy 20 (Start taper)
16 26.2 Rest 2 Easy (race week) 28.2

I think its undercooking the LR, not sure what tempo is for, and just a single 2mile run on race week is on the low side

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based on what?

its what ChatGPT gave me to the question

“I would like a 16 week training plan for a marathon, to target a sub 4 finish. I would like an average of 26.2miles per week over the 16 weeks and an average of 3.1 days of running”

yep…but it asked no questions such as terrain, envitonment, current training level, experience etc…

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I guess the AI coaches will also target standard events or distances, e.g. 70.3, Ironman, marathon rather than bonkers things like arch to arc where you need someone who understands the stupidity of it!

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for many people, a park run is a bonkers event…

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would have thought at least 1 race during any build ,if just to see were your at

that’s the problem, it will only ever be pre generated sessions, with a few changes to fit in. What it gave me is probably identical to something that’s been dumped in runners world every january

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Yep, and see above about all the fink plans that people shared in excel etc

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Hills?

Is that up or down them or both? :thinking:

Hard down easy up?

Hard up easy down?

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AI, in a number of industries, is imperfect. This is no different.

It’s like having a junior member of the team produce something that needs further intervention to truely value.

The above sessions and continued discussions lean into that.

Does it give you a starting point? Yes.
Is it 40/50/60% there? Possibly.
Does it mean expert tweaking for optimal value? Yes.

But, where will this be in 2/3/4 years?

That 40/50/60% will be higher.

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Fify…

In engineering and some medical applications ai makes a lot of sense.
Billions of known inputs, or at least millions, each with a certain known outcomes. Solve for a desired output.

Thats not how humans work.

It might get close in future but the tech isnt there at the moment for all the required inputs and the outcomes based on them is largely unknown

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Don’t known the workings :thinking:

Blar blar marketing “ai generated session” based on the route profile, historical / predicted weather, personal profile, bike setup, weight etc

Spat out very different sessions for Cotswolds flat and Swansea hilly.
Both basically was a simplified version, as a workout, of the race plan.

Eyeballing the profile of the course and normal wind direction for the time of year I had a very similar race prep session in mind.

Did it really use ai who knows? Did it need to for this application, definitely not.

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Think we are arguing the same point, fella.

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Yeah we are…

I started with a bit of a joke and then was reinforcing your point that I :100: % agree with. My comment was for the general more causal readers, not you. You get it. Tbf most do, but it gave me something to do.

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It’s the other way around - if you recall Douglas Adams Hhgttg and Deep Thought which calculated the answer to life, the universe and everything to be 42. They then realised if the answer was 42 then they clearly didn’t understand the question they had asked.

This has become reality, and we call it prompt engineering. Really, it’s the skill of knowing how to ask a question.