Sasha Mitts

Sasha Mitts

Independent Researcher · Supplier-side

Topics Sasha shaped

Research must be reproducible and transparent. If a colleague asks why you believe something, you cannot say 'the AI said it was true' — you need to show the full trace of reasoning: the method, the analysis, the sampling. If you use AI not to do the analysis end-to-end but to build the tools that facilitate your own analysis, transparency is retained and you save even more time in aggregate because you have tooling tailored to your actual practice. — Ep. 74
Research produces its real value from opinionated storytelling — being able to communicate a narrative that is informed, persuasive, and has a point of view. If you ask AI to have the point of view for you, that is where the greatest risk of genericism lies: dumping data in and asking it to tell you what to think brings marginal value. Cultivating the organizational and product awareness to form that perspective is the most important thing. — Ep. 74
As long as there are new things to understand about the world — which there always will be — research requires curiosity, the desire to go from not knowing something to thinking that thing is worth knowing, and then putting in the work to get there. The fundamental curiosity of having an opinion about what is worth knowing is something that needs to be a skill, not something outsourced to AI. — Ep. 74

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