{"podcast":{"title":"Data Skeptic","slug":"data-skeptic","podcast_index_feed_id":587881,"rss_url":"https://dataskeptic.libsyn.com/rss","website_url":"https://dataskeptic.com","image_url":"https://static.libsyn.com/p/assets/0/e/4/b/0e4bd71bb64c6e45/DS_-_New_Logo_assets_-_JL_DS_Logo_Stacked_-_Color_2.jpg","author":"Kyle Polich","episode_count":601,"summary":"The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.","last_synced_at":null,"page_url":"https://stenobird.com/podcast/data-skeptic"},"episode":{"title":"The Future is Agentic in Recommender Systems","slug":"the-future-is-agentic-in-recommender-systems","published_at":"2026-04-25T18:00:00+00:00","page_url":"https://stenobird.com/podcast/data-skeptic/the-future-is-agentic-in-recommender-systems","show_page_url":"https://stenobird.com/podcast/data-skeptic","url":"https://dataskeptic.com/blog/episodes/2026/The-future-is-agentic-in-recommender-systems","audio_url":"https://pscrb.fm/rss/p/mgln.ai/e/35/traffic.libsyn.com/secure/dataskeptic/Yashar_No_Ads_V1.mp3?dest-id=201630","summary":"Recommender systems are shifting from static ranked lists to 'agentic' systems capable of end-to-end task completion. This transition introduces significant new challenges in trust, specifically regarding hallucinations and adversarial vulnerabilities in LLM-driven models.","meta_description":"Explore the evolution of recommender systems from collaborative filtering to agentic LLM-powered models and the critical need for trustworthy AI.","key_points":["Main idea: The future of recommendation lies in agentic systems that use memory and tools to perform complex, multi-step tasks rather than just providing item lists","Failure mode: LLM-based recommenders are prone to hallucinations and context drift, which can be particularly dangerous in high-stakes domains like medicine","Practical takeaway: Building trustworthy systems requires addressing multiple dimensions, including robustness to adversarial attacks, privacy, and explainability","Main idea: Multimodal generative models can revolutionize industries like fashion by allowing users to visually preview and iterate on personalized outfits","Technical challenge: Evaluating modern generative recommenders requires complex multi-dimensional radar charts to track accuracy, latency, and ethical risks"],"chapters":[{"start_ms":60000,"title":"The Evolution of Recommender Systems","summary":"An overview of how the field has moved from image processing and video recommendation to the current era of generative models."},{"start_ms":285000,"title":"Trust and Adversarial Risks","summary":"A discussion on the necessity of trustworthy AI and the different perspectives on achieving robustness in recommendation pipelines."},{"start_ms":505000,"title":"New Risks in the LLM Era","summary":"Examining how large language models introduce unprecedented risks like hallucinations and context drift into recommendation tasks."},{"start_ms":730000,"title":"Multimodal Generative Advantages","summary":"How generative models can enhance user engagement through visual previews and interactive, natural language suggestions."},{"start_ms":945000,"title":"From Ranked Lists to Agents","summary":"The fundamental shift from traditional collaborative filtering to revolutionary agentic systems that execute tasks."},{"start_ms":1195000,"title":"The Power of Agentic Models","summary":"Exploring dynamic systems that can handle multiple constraints and perform complex, multi-tasking operations for users."},{"start_ms":2300000,"title":"Dimensions of Evaluation","summary":"Analyzing the input, output, and observation spaces required to evaluate modern, large-scale language agents."}],"topics":["Recommender Systems","Large Language Models","Agentic AI","Generative AI","Trustworthy AI","Machine Learning","Multimodal Models","Adversarial Attacks"],"duration_seconds":2965,"processing_state":"processed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/data-skeptic/episodes/the-future-is-agentic-in-recommender-systems/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/data-skeptic/the-future-is-agentic-in-recommender-systems.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}