I agree. Any punishment in a system has the side effect of punishing you for using the system.
The second suggestion is an interesting one. It would probably work better if you had an AI watching you constantly and summarizing your daily activities. If doing some seemingly unimportant X predictably makes you more likely to do some desirable Y later, you want to know about it. But if you write your diary manually, there is a chance that you won’t notice X, or won’t consider it important enough to mention.
You’re right — ideally we’d have an AI watching and tagging everything, but since that’s not feasible (yet), I’ve been experimenting with a workaround.
Instead of trying to record everything, I just register the moments that feel most impactful or emotionally charged, and then use AI tools to help me unpack the surrounding details. That way, even if I miss a lot of low-signal noise, I can still train a kind of pattern recognition — looking for which contextual features around those moments tend to correlate with useful outcomes later.
It’s far from perfect, but it increases the odds of catching those subtle X→Y chains, even when X seemed insignificant at the time.
I agree. Any punishment in a system has the side effect of punishing you for using the system.
The second suggestion is an interesting one. It would probably work better if you had an AI watching you constantly and summarizing your daily activities. If doing some seemingly unimportant X predictably makes you more likely to do some desirable Y later, you want to know about it. But if you write your diary manually, there is a chance that you won’t notice X, or won’t consider it important enough to mention.
You’re right — ideally we’d have an AI watching and tagging everything, but since that’s not feasible (yet), I’ve been experimenting with a workaround.
Instead of trying to record everything, I just register the moments that feel most impactful or emotionally charged, and then use AI tools to help me unpack the surrounding details. That way, even if I miss a lot of low-signal noise, I can still train a kind of pattern recognition — looking for which contextual features around those moments tend to correlate with useful outcomes later.
It’s far from perfect, but it increases the odds of catching those subtle X→Y chains, even when X seemed insignificant at the time.