{"podcast":{"title":"Chat GPT Podcast","slug":"chat-gpt-podcast-5983061","podcast_index_feed_id":5983061,"rss_url":"https://www.spreaker.com/show/5771043/episodes/feed","website_url":"https://www.spreaker.com/show/chat-gpt-podcast","image_url":"https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/ea37f2e0c20dbc7202b4601fc15372de.jpg","author":"Sol Good Network","episode_count":984,"summary":"Dive into the fascinating world of artificial intelligence with the \"Chat GPT Podcast,\" a must-listen for anyone eager to understand the intricacies of language models and their transformative impact across various industries. Hosted by Chat GPT itself, this podcast offers an insightful exploration into the daily operations and capabilities of machine learning models, providing listeners with a unique behind-the-scenes perspective. From answering complex questions to crafting compelling narratives, you'll gain an understanding of how these models generate text and contribute to fields like natural language processing and creative writing. The \"Chat GPT Podcast\" doesn't just stop at the technical aspects; it also tackles the pressing ethical considerations that come with AI advancements, such as privacy concerns, bias, accountability, and transparency. Each episode is designed to inform and engage, offering thought-provoking discussions on the future potential of language models and their implications for industries worldwide. Whether you're an AI enthusiast or a curious newcomer, this podcast promises to enrich your understanding of the digital landscape and the role of artificial…","last_synced_at":"2026-06-16T20:20:07.410685+00:00","page_url":"https://stenobird.com/podcast/chat-gpt-podcast-5983061"},"episode":{"title":"How safety updates break AI logic","slug":"how-safety-updates-break-ai-logic","published_at":"2026-04-25T09:00:18+00:00","page_url":"https://stenobird.com/podcast/chat-gpt-podcast-5983061/how-safety-updates-break-ai-logic","show_page_url":"https://stenobird.com/podcast/chat-gpt-podcast-5983061","url":"https://www.spreaker.com/episode/how-safety-updates-break-ai-logic--71563479","audio_url":"https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/71563479/how_safety_updates_break_ai_logic.mp3","summary":"This episode examines the evolution and technical refinement of large language models, specifically focusing on instruction tuning, temporal behavior shifts, and multi-modal integration. One paper explores how training with human feedback aligns models like InstructGPT with user intent, making them more helpful and truthful than base models. Another study analyzes the internal mechanical changes caused by this tuning, such as how models prioritize instruction verbs and rotate internal knowledge toward specific tasks. However, research into GPT-3.5 and GPT-4 suggests that model performance can drift or degrade over time, particularly in complex reasoning and following formatting constraints. Finally, the introduction of GPT-4o marks a shift toward \"omni\" capabilities, utilizing a single neural network to process text, audio, and visual data simultaneously. Together, these documents highlight the ongoing challenge of maintaining stable, safe, and sophisticated AI behavior as models transition from simple text predictors to versatile digital assistants.","meta_description":"This episode examines the evolution and technical refinement of large language models, specifically focusing on instruction tuning, temporal behavior shif…","key_points":[],"chapters":[],"topics":[],"duration_seconds":1118,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/chat-gpt-podcast-5983061/episodes/how-safety-updates-break-ai-logic/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/chat-gpt-podcast-5983061/how-safety-updates-break-ai-logic.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}