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Aakash Gupta and Austin Miller posted new notes

I completely disagree with this. Claude Code has me thinking harder than any job I've ever had. But I get why Braeden feels his brain melting. The cause is right there in his own post. Look at how he describes the work. Five or six terminals open for six months, waiting on responses just to smash enter 90% of the time. His words. He calls that the whole job now. If pressing enter is 90% of your job, the model is making your decisions and you've become the keyboard. He automated the judgment along with the typing, and judgment is the part that keeps you sharp. There's actual research on this. MIT's Media Lab put EEG caps on 54 people writing essays, and the group leaning on ChatGPT showed the weakest brain connectivity in the study. Most of them couldn't quote a single sentence from the essay they had just turned in. The part of that study almost nobody mentions is the crossover. People who wrote with their own brain first, then brought the model in afterward, measured higher engagement…
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Not quite in the same wheelhouse as our usual _secpro and cyber_ai fare, but very interesting nonetheless. Great write up which I’m sad that I’m only just getting around to reading now.
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Product discovery is the number 1 skill for PMs. Here's how to use AI to 10x your discovery, at each step. I put the whole stack on one card so you can save it. Step 1: AI market intelligence Market analysis used to be a lengthy, research-heavy process that often required access to paid reports. Now, replace that with: a. Market sizing by Perplexity b. Validation with 3 expert calls c. Synthesizing sources with NotebookLM Step 2: AI customer intelligence Build an AI customer intelligence system like the ones Dovetail provides. These aggregate all your: 1000s of support calls 100s of app reviews 100s of sales calls 10s of interviews AI customer intelligence tools are as important as AI prototyping tools. Step 3: Ship an AI prototype Once you have all that context, write the PRD and build an AI prototype. This lets you test what you're building with customers before engineering commits a sprint to it. That's the biggest change in the whole stack. Step 4: Synthesize with AI After testing…
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