{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Pragmatic AI with Matt Stauffer","title":"A Data Scientist’s Approach to AI","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/4f9b3011\"></iframe>","width":"100%","height":180,"duration":3095,"description":"In this episode, Matt Stauffer talks with Apoorva Joshi, DevRel at MongoDB, about what it looks like to come to AI from the inside — seven years as a data scientist in cybersecurity before she ever touched a foundation model.\nThey get into how she evaluates whether a problem needs machine learning at all, why she gives models her brain dump instead of asking for a first draft, the proxy service she built so workshop customers never have to juggle LLM API keys, and why her trust level still sits around seventy percent.\nThe conversation also goes somewhere heavier: what happens to an economic model built on the value of human cognitive work, why so much AI discourse quietly assumes coding agents represent all of AI, and the question of where meaning comes from when the thing that gave it to you gets automated.Matt Stauffer on X - https://x.com/mattstaufferTighten Website - https://tighten.com/Apoorva on LinkedIn - https://www.linkedin.com/in/apoorvajoshi95/Mongo DB Builder Blog - https://www.mongodb.com/company/blog/channel/builder-blog\n-----\nEditing and transcription sponsored by Tighten - https://tighten.com/","thumbnail_url":"https://img.transistorcdn.com/7aIGYa7TMm5003o6AXFcVLVUuQ_jipe1tlCSiSzHCtI/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83ODZh/NmNkYWVmNDA0MGY0/NTIzNGRmZmI5NjU1/MjY4Mi5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}