Short reflections, insights, and observations around various topics.
As children, we learn the English alphabet and simple sequences such as number patterns, the order of letters, the logic that makes things make sense. But AI can scramble even the slightest sequence if you don’t give it the correct structure. Training is key...and trust me, you don’t want to miss the closed‑loop dependency.
Sheets and books feel personal when they're physical, but become professional the moment they hit the digital ground. In practice, each form acts as a placeholder where these roles can be exchanged based on how they're used. Data can be automated in the virtual space, but automation hasn't fully leaped into the physical realm. It's the tension between reality accommodating digitization and virtual reality becoming ideal.
Vanishing online isn't the same as vanishing in AI.
The former is about the absence of signal, nothing remains for a system or a person to process, so no learning occurs.
The latter is about the attenuation of a signal, as the signal moves through the network, it shrinks to the point where it can no longer teach the model effectively, causing ineffective learning.
Put simply:
The first emphasizes moving on with no signal at all. The second emphasizes a signal moving through layers and becoming too weak to matter.
The mental exhaustion comes from switching between multiple tasks constantly; even when each task requires less effort, the speed still takes a toll. But you matter more than the tools you use, so stay the star contributor of your work and let AI support your thinking, not take the lead.