{"podcast":{"title":"Practical AI","slug":"practical-ai","podcast_index_feed_id":444526,"rss_url":"https://feeds.transistor.fm/practical-ai-machine-learning-data-science-llm","website_url":"https://practicalai.show/","image_url":"https://img.transistorcdn.com/WMlp2ug34XB6LDJ3-vnzti_-_y144LUlFW0Xzzn3fss/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wMTZi/ZWJmNWIwNDdmYTcw/NGJjMTExZjNjZmYy/M2ZjNS5wbmc.jpg","author":"Daniel Whitenack and Chris Benson","episode_count":368,"summary":"Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!","last_synced_at":"2026-08-02T15:06:44.156849+00:00","page_url":"https://stenobird.com/podcast/practical-ai"},"episode":{"title":"Breaking down the 2026 Stanford AI Index Report","slug":"breaking-down-the-2026-stanford-ai-index-report","published_at":"2026-06-04T09:00:00+00:00","page_url":"https://stenobird.com/podcast/practical-ai/breaking-down-the-2026-stanford-ai-index-report","show_page_url":"https://stenobird.com/podcast/practical-ai","url":"https://share.transistor.fm/s/302b36f8","audio_url":"https://pscrb.fm/rss/p/dts.podtrac.com/redirect.mp3/media.transistor.fm/302b36f8/d474795e.mp3","summary":"AI models can win math olympiads… but still struggle to read an analog clock. In this fully connected episode, Dan and Chris break down the latest Stanford AI Index Report and explore what it reveals about the current state of AI. They discuss AI adoption and safety, disappearing junior tech jobs, robotics, AI’s “jagged frontier” of intelligence, and the growing race between the U.S. and China. Along the way, they debate whether AI should optimize everything, or if some things are better left human. Featuring: Chris Benson – Website , LinkedIn , Bluesky , GitHub , X Daniel Whitenack – Website , GitHub , X Links: The 2026 AI Index Report Sponsors: Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai Upcoming Events: Register for upcoming webinars here ! Midwest AI Summit 2026","meta_description":"AI models can win math olympiads… but still struggle to read an analog clock. In this fully connected episode, Dan and Chris break down the latest Stanfor…","key_points":[],"chapters":[],"topics":[],"duration_seconds":2833,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/practical-ai/episodes/breaking-down-the-2026-stanford-ai-index-report/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/practical-ai/breaking-down-the-2026-stanford-ai-index-report.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}