I find writing down my thoughts helps to internalize things and get the most out of things like advice or observations. So, here is the first post in my run-up to testing for Ni-Dan later this year. Internally we had an internal "mock" shinsa at out dojo to see who the instructors felt were ready to challenge for their respective Dan in either the upcoming video or in-person Shinsas. My result? After a pretty good result in an earlier internal shinsa, I regressed a bit. I still got the green light to go forward with a few areas of note that I need to work on. Some from their perspective, some from my own, and some from a pair of guest instructors from the day of the mock shinsa that likely saved me from failing out completely. I'll start with my own thoughts. I always need to work on rhythm and timing with a TACHI . I'm doing video shinsa, so that is less important to testing this time, but would be critical for any in-person shinsa. And beyond Ni-Dan all testing is i...
Why do companies keep trying to use AI/token usage as a performance metric? Because they've lost (or never had) the ability to quantify success. Put another way, it is the exact same reason that vibe coders exist and succeed until they fail. AI is not currently reliable and the people who tend to rely on it most, also let it replace their own judgement and faculties. And they let it get that way because of a few (sometimes big) early wins. Tokenmaxxing is an obvious result of an obviously flawed system. How is the system "obviously flawed?" I've written up a number of examples of my struggles with AI at work. But it boils down to this; AI isn't actually "smart" in the human sense and the results are non-deterministic. This means that the 2 developers using identical prompts can wind up with WILDLY different tokens spent for the same problem. AND more than likely, the developer that spent more tokens ends up with the inferior solution. Identical prompt...