{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Old School / New Tech","title":"E10: The Case for Resident AI in Enterprises","html":"","width":"100%","height":180,"duration":1904,"description":"The show returns after a month-long break to announce the launch of VarOps (varops.com) and introduces its premise via a short documentary about enterprises losing critical, undocumented decision knowledge when key employees are unavailable. \nRan argues organizations adopt AI incorrectly by dumping documents into RAG systems, relying on prompts for security, and trying to mold long-established processes around new tools instead of building AI around the business. He describes VarOps’ approach – “Resident AI” owned by the company – supported by a published paper on a governed operational model and a “large organization model” with version-controlled decisions and deterministic access control. Benchmarks show local models plus frontier reasoning can reach ~96–99% of frontier performance at low cost, motivating model and data sovereignty. \nRan also discusses new frontier releases and Jev, a fast classification-focused model, emphasizing models are not interchangeable and small accuracy differences matter in mission-critical enterprise settings.\n00:00 Welcome Back VarOps Launch\n01:17 Resident AI Mini Documentary\n04:22 Why AI Adoption Fails\n09:02 Acropolis Research Findings\n11:37 New Model Wave Pricing\n15:06 System Architecture Varys\n18:40 Local Models Sovereignty\n21:19 VarOps Site Bot Magazine\n23:27 Jev System One Classifier\n29:08 Model Fit Error Rates\n30:48 Wrap Up Newsletter Invite","thumbnail_url":"https://img.transistorcdn.com/13nrINn33mdG7k8LoP1Ez_oYKpPxbcHmR2r_rrXw8jQ/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85YTRj/ZGQ0Y2RkZDdmMGY4/NzdjYjgxNjI4OWQ5/YTdkYS5qcGVn.webp","thumbnail_width":300,"thumbnail_height":300}