I’m interested in having dialogues/debates about deliberate practice and feedbackloops, applied to fuzzy domains.
This can take a number of forms, either more like a debate or more like an interview:
If you currently think “my domain is too fuzzy, it’s not amenable to feedbackloops, or not amenable to deliberate practice”, I’m interested in exploring/arguing about that.
If you think you have mastery over an interesting domain that many people think of as fuzzy/hard-to-train, I’d be interested in interviewing you about your process, and what little subskills go into that domain.
Might be interesting to chat about zen! While there is feedback to learn various things, I’ll claim that the practice ultimately becomes about something more like letting feedback loops rest so that you can become a feedforward system when no feedback is needed.
I’d be up for a dialogue mostly in the sense of the first bullet about “making sense of technical debates as a non-expert”. As far as it’s “my domain” it’s in the context of making strategic decisions in R&D, but for example I’d also consider things like understanding claims about LK-99 to fall in the domain.
I think on and off about how one might practice (here’s one example) and always come away ambivalent. Case studies and retrospectives are valuable, but lately, I tend to lean more pragmatic—once you have a basically reasonable approach, it’s often best to come to a question with a specific decision in mind that you want to inform, rather than try to become generically stronger through practice. (Not just because transfer is hard, but also for example because the best you can do often isn’t that good, anyway—an obstacle for both pragmatic returns and for feedback loops.) And then I tend to think that the real problem is social—the most important information is often tacit or embedded in a community’s network (as in these examples)—and while that’s also something you can learn to navigate, it makes systematic deliberate practice difficult.
I’m interested in having dialogues/debates about deliberate practice and feedbackloops, applied to fuzzy domains.
This can take a number of forms, either more like a debate or more like an interview:
If you currently think “my domain is too fuzzy, it’s not amenable to feedbackloops, or not amenable to deliberate practice”, I’m interested in exploring/arguing about that.
If you think you have mastery over an interesting domain that many people think of as fuzzy/hard-to-train, I’d be interested in interviewing you about your process, and what little subskills go into that domain.
Might be interesting to chat about zen! While there is feedback to learn various things, I’ll claim that the practice ultimately becomes about something more like letting feedback loops rest so that you can become a feedforward system when no feedback is needed.
I’d be up for a dialogue mostly in the sense of the first bullet about “making sense of technical debates as a non-expert”. As far as it’s “my domain” it’s in the context of making strategic decisions in R&D, but for example I’d also consider things like understanding claims about LK-99 to fall in the domain.
I think on and off about how one might practice (here’s one example) and always come away ambivalent. Case studies and retrospectives are valuable, but lately, I tend to lean more pragmatic—once you have a basically reasonable approach, it’s often best to come to a question with a specific decision in mind that you want to inform, rather than try to become generically stronger through practice. (Not just because transfer is hard, but also for example because the best you can do often isn’t that good, anyway—an obstacle for both pragmatic returns and for feedback loops.) And then I tend to think that the real problem is social—the most important information is often tacit or embedded in a community’s network (as in these examples)—and while that’s also something you can learn to navigate, it makes systematic deliberate practice difficult.
Yeah I am interested in chatting about this.
(I’ll try to followup this weekend, if I fail feel free to ping me again)