the catch with learning via AI is it sounds equally sure when it’s wrong. a cheap habit that helps: ask a second model the same question and only chase down the points where they disagree, aisa.to/aisapedia/cross-model-verification
AI can shorten the path to information, but learning still requires the slower work of testing, applying, and judging what comes back. Speed helps most when it creates more room for practice rather than replacing it.
As a new grad I definitely identify with the tendency to overrely. But I also feel like people my age have some of the best skills for actually getting work out of these models, so it's a trade-off. My first on-call shift showed me both sides. The AI debugger got me through because I knew it well, but I'd have been in trouble on anything it couldn't handle. Being able to operate when things break is what's going to separate who moves up.
"Delegate your busywork, not your judgment calls" is a useful rule. The hard part is noticing when reviewing an AI answer quietly turns into trusting it by default.
the catch with learning via AI is it sounds equally sure when it’s wrong. a cheap habit that helps: ask a second model the same question and only chase down the points where they disagree, aisa.to/aisapedia/cross-model-verification
AI can shorten the path to information, but learning still requires the slower work of testing, applying, and judging what comes back. Speed helps most when it creates more room for practice rather than replacing it.
Thanks for sharing these practical workflows.
As a new grad I definitely identify with the tendency to overrely. But I also feel like people my age have some of the best skills for actually getting work out of these models, so it's a trade-off. My first on-call shift showed me both sides. The AI debugger got me through because I knew it well, but I'd have been in trouble on anything it couldn't handle. Being able to operate when things break is what's going to separate who moves up.
"Delegate your busywork, not your judgment calls" is a useful rule. The hard part is noticing when reviewing an AI answer quietly turns into trusting it by default.
“Create a plan that will help me learn while building it. Don’t write the code yet.” That one line changes the whole relationship.
The AI stops being the one doing the work and becomes the one helping you understand it.
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