{"podcast":{"title":"The Neuron: AI Explained","slug":"the-neuron-ai-explained-6886341","podcast_index_feed_id":6886341,"rss_url":"https://anchor.fm/s/f51d3fd0/podcast/rss","website_url":"https://theneuron.ai/podcast","image_url":"https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_nologo/41023348/41023348-1713558859331-ee0e43d6222a6.jpg","author":"The Neuron","episode_count":110,"summary":"The Neuron is a daily newsletter with 700,000+ readers that covers the latest AI developments, trends and research; this is our podcast, hosted by Grant Harvey and Corey Noles. We aim to create digestible, informative and authoritative takes on AI that get you up to speed and help you become an authority in your own circles. Available Wednesdays and Sundays on all podcasting platforms and YouTube. Subscribe to our newsletter: https://www.theneurondaily.com/subscribe","last_synced_at":"2026-07-25T18:20:07.084790+00:00","page_url":"https://stenobird.com/podcast/the-neuron-ai-explained-6886341"},"episode":{"title":"Can AI Agents Learn From Expert Corrections?","slug":"can-ai-agents-learn-from-expert-corrections","published_at":"2026-07-01T18:40:01+00:00","page_url":"https://stenobird.com/podcast/the-neuron-ai-explained-6886341/can-ai-agents-learn-from-expert-corrections","show_page_url":"https://stenobird.com/podcast/the-neuron-ai-explained-6886341","url":"https://podcasters.spotify.com/pod/show/the-neuron/episodes/Can-AI-Agents-Learn-From-Expert-Corrections-e3lh8ce","audio_url":"https://anchor.fm/s/f51d3fd0/podcast/play/122249038/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-6-1%2F427171335-44100-2-941bdb71d6086.mp3","summary":"OpenAI and Thrive Holdings built Tax AI, a Codex-powered agent that helps prepare complex tax returns while preserving evidence for accountant review. In this episode, Corey and Grant talk with OpenAI’s John de Wasseige and Arthur Fernandes Araujo about how expert corrections become structured signals, how Codex turns repeated failures into evals and scoped engineering tasks, and why the best AI deployments still need humans close to the work. They also dig into what this pattern could mean for bookkeeping, audits, IT help desks, and other expert workflows where the system can measure what “right” looks like. Relevant links: OpenAI Tax AI case study: https://openai.com/index/building-self-improving-tax-agents-with-codex/ OpenAI Codex: https://openai.com/codex/ Harness engineering: https://openai.com/index/harness-engineering/ Thrive Holdings: https://www.thriveholdings.com/ Crete: https://www.cretepa.com/ Subscribe to The Neuron newsletter: https://theneuron.ai","meta_description":"OpenAI and Thrive Holdings built Tax AI, a Codex-powered agent that helps prepare complex tax returns while preserving evidence for accountant review. In…","key_points":[],"chapters":[],"topics":[],"duration_seconds":3156,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/the-neuron-ai-explained-6886341/episodes/can-ai-agents-learn-from-expert-corrections/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/the-neuron-ai-explained-6886341/can-ai-agents-learn-from-expert-corrections.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}