Deliberate (?) trade-offs we make for the sake of output speed.
... By sacrificing depth in my learning, I can produce substantially more work. I’m unsure if I’m at the correct balance between output quantity and depth of learning. This uncertainty is mainly fueled by a sense of urgency due to rapidly improving AI models. I don’t have time to learn everything deeply. I love learning, but given current trends, I want to maximize immediate output. I’m sacrificing some learning in classes for more time doing outside work. From a teacher’s perspective, this is obviously bad, but from my subjective standpoint, it’s unclear.
Finding the balance between learning and productivity. By trade, one cannot be productive in specific areas without first acquire the knowledge to define the processes needed to deliver. Designing the process often come on a try and fail dynamic that force us to learn from previous mistakes.
I found this little journal story fun but also little sad. Vincent's realization, one of us trading his learnings to be more productive, asking what is productivity without quality assurance?
Inevitably, parts of my brain will degenerate and fade away, so I need to consciously decide what I want to preserve or my entire brain will be gone. What skills am I NOT okay with offloading? What do I want to do myself?
Read Vincent's journal https://vvvincent.me/llms-are-making-me-dumber/