{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/64e8d7428a084400127b05c3/68c3ed156078db9201a7d8d8?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Short Stuff: How Can We Trust AI? The Case for Open Source","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/64e8d7428a084400127b05c3/1757670711282-0cbb731d-dff7-44ed-b0c7-8f79fba104bd.jpeg?height=200","description":"<p>In this Short Stuff episode, Kieren and Riku ask a simple question: how can we trust chatbots with our most personal data?&nbsp;&nbsp;They unpack what \"open source\" really means for LLMs (open weights vs training code vs datasets), argue for nutrition-label-style transparency, and share practical tips like when to run a model locally for privacy and what trade-offs to expect.</p><p><br></p><p>Birds for Scale, Smarties is licensed under <a href=\"https://creativecommons.org/licenses/by-sa/4.0\" rel=\"noopener noreferrer\" target=\"_blank\">CC BY-SA</a>.</p>","author_name":"Kieren Sharma & Riku Green"}