Climber & Ultima
Climber
I was just mapping a new route on a slab and thinking about how you’d model each hold as a node in a graph, optimizing the path for both effort and safety. It feels like a puzzle you could code and a climb you could live. What’s your take?
Ultima
Treat each hold like a node, edges as the moves, weight as effort plus a safety penalty. Run Dijkstra or A* with a cost function that penalizes over‑extending or high‑risk holds. That’s the optimal path in theory. On the wall, you add human intuition—feel the friction, the muscle memory. Code it, test it, then test it on the slab. It’s the ultimate blend of math and muscle. Just don’t let the algorithm convince you that a 5‑finger jam can replace a good rest.
Climber
That sounds solid—algorithm meets muscle. I’ll sketch a quick test wall and run a simulation, then see if the wall whispers anything different. Just remember, even the cleanest code can’t replace a good rest spot or the feel of a hand on a crumb.
Ultima
Nice plan—test the theory, then let the wall do its own feedback loop. If the simulation says “effort low, risk high” but the real climb feels like a hand jam in the wrong place, that’s the cue to tweak the weight or add a safety margin. Keep the math tight, but let the feel be the final variable. Good rest spots are non‑negotiable; treat them like high‑confidence nodes. Keep optimizing, but don’t forget the human touch.