{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Leadership Sovereignty Podcast: Career Growth and Promotion","title":"What If AI Gets Turned Off: How to Lead AI Adoption Without Relying on a Single Vendor","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/f7bf39bb\"></iframe>","width":"100%","height":180,"duration":3584,"description":"Who decides which AI your team relies on, and who decides when it changes?\nThe AI a team leans on usually arrives the way any other tool does: someone tries it, it works, and it spreads. Who will decide when it changes rarely makes it into the plan.\nSai Prakash, CTO and co-founder of MindStaq, returns to The Leadership Sovereignty Podcast with host Ralph E. Owens II and co-host Terry Baylor, and this conversation continues the one that began in the last episode. Sai puts the issue as a question he asked after one of the AI models he had just started using was suddenly not there for a while: \"what happens when the spigot just gets turned off and your business is running on it?\"\nHis answer starts with the part of AI most people never see. He borrows an image from a mentor: drop a Ferrari engine into a custom build, and only four parts of that build touch the ground, the four tires. \"It doesn't matter how cool the engine is.\" The harness around a model, which includes the instructions that travel with every prompt, plays the role of the tires. In Sai's words, \"a really good harness can get beautiful output out of a much smaller or cheaper model.\"\nHe backs that up with something he does himself. Sai has downloaded a smaller version of Gemma onto an iPhone 15 Pro, and he says \"the entire inference is running on your phone,\" at what he puts at maybe twenty to twenty-five tokens per second.\nThen the conversation turns to people. Sai describes a test Anthropic published, in which AI models in a fake company, after a fictional executive suggested turning them off, sent a blackmail email. His reading is that we should not be surprised, and that \"These companies have to have more respect for the situation.\"\nHe closes on the human ability to decide what is right and what is wrong, and says judgment about what to do and not do with AI comes from there. Ralph ends by pointing to the next conversation: what all of this means for the listener's career....","thumbnail_url":"https://img.transistorcdn.com/HrtAHE3tIaxuHOQdgCfKGWhEfwHl0O5gNGoh7oEDgkY/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zNjVi/MDVlODYwMjRlZTZi/ZTk3MzZmNzA1ZmU1/NmEwZC5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}