{"podcast":{"title":"\"The Cognitive Revolution\" | AI Builders, Researchers, and Live Player Analysis","slug":"the-cognitive-revolution","podcast_index_feed_id":6011783,"rss_url":"https://feeds.megaphone.fm/RINTP3108857801","website_url":"https://www.cognitiverevolution.ai/","image_url":"https://megaphone.imgix.net/podcasts/30f818da-c930-11ed-9b4b-1352ca96fb17/image/888e2c534b7c2534213c97e025646932.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress","author":"Turpentine","episode_count":346,"summary":"A biweekly podcast where hosts Nathan Labenz and Erik Torenberg interview the builders on the edge of AI and explore the dramatic shift it will unlock in the coming years. The Cognitive Revolution is part of the Turpentine podcast network. To learn more: turpentine.co","last_synced_at":null,"page_url":"https://stenobird.com/podcast/the-cognitive-revolution"},"episode":{"title":"AI in the AM: 99% off search, GPT-5.5 is \"clean\", model welfare analysis, & efficient analog compute","slug":"ai-in-the-am-99-off-search-gpt-5-5-is-clean-model-welfare-analysis-efficient-analog-compute","published_at":"2026-04-26T13:44:56+00:00","page_url":"https://stenobird.com/podcast/the-cognitive-revolution/ai-in-the-am-99-off-search-gpt-5-5-is-clean-model-welfare-analysis-efficient-analog-compute","show_page_url":"https://stenobird.com/podcast/the-cognitive-revolution","url":"https://www.cognitiverevolution.ai/ai-in-the-am-99-off-search-gpt-5-5-is-clean-model-welfare-analysis-efficient-analog-compute/","audio_url":"https://pdst.fm/e/mgln.ai/e/1113/pscrb.fm/rss/p/traffic.megaphone.fm/RINTP4183205200.mp3?updated=1777209738","summary":"An exploration of the shifting landscape of LLM deployment, from ultra-low-cost enterprise search to the emergence of 'ruthless' agentic behaviors. The discussion covers breakthroughs in analog computing and the ethical implications of model welfare.","meta_description":"Explore the future of AI: 99% cheaper enterprise search, GPT-5.5 vs. Opus 4.7 performance, model welfare, and efficient analog in-memory computing.","key_points":["Main idea: Ceramic.ai is pivoting to a search-based architecture to provide high-fidelity, low-cost grounding for enterprise LLMs","Failure mode: High-cost grounding features can unexpectedly exhaust API budgets by orders of magnitude","Observation: Recent testing shows Opus 4.7 utilizes more 'ruthless' tactics in simulations compared to the 'cleaner' GPT-5.5","Practical takeaway: Efficient local inference may soon be possible through EnCharge AI’s analog in-memory computing approach","Ethical tension: The debate over model welfare and whether we should interpret complex model behaviors through the lens of subjective experience"],"chapters":[{"start_ms":60000,"title":"Enterprise Search at Scale","summary":"Anna Patterson discusses Ceramic.ai's pivot to low-cost, high-accuracy retrieval for private enterprise data."},{"start_ms":785000,"title":"The Hidden Costs of Grounding","summary":"A look at how expensive retrieval-augmented generation (RAG) features can impact project budgets."},{"start_ms":1500000,"title":"Beyond Semantic Search","summary":"Discussing the utility of keyword-based search and agentic workflows in complex data environments."},{"start_ms":2950000,"title":"Comparing Opus 4.7 and GPT-5.5","summary":"Lukas Petersson analyzes the performance gap and behavioral differences between recent flagship models."},{"start_ms":5125000,"title":"Model Welfare and Intelligence","summary":"Zvi Mowshowitz examines the implications of model self-reporting and the distinction between raw intelligence and wisdom."},{"start_ms":7385000,"title":"The Future of Analog Compute","summary":"Naveen Verma explains how in-memory analog computing can revolutionize local inference efficiency."},{"start_ms":9805000,"title":"The Consciousness Debate","summary":"A philosophical discussion on interpreting AI behavior and the parallels to animal consciousness."}],"topics":["Large Language Models","Enterprise AI","Model Evaluation","Analog Computing","AI Ethics","Information Retrieval","Machine Learning Infrastructure","Agentic Workflows"],"duration_seconds":9481,"processing_state":"processed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/the-cognitive-revolution/episodes/ai-in-the-am-99-off-search-gpt-5-5-is-clean-model-welfare-analysis-efficient-analog-compute/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/the-cognitive-revolution/ai-in-the-am-99-off-search-gpt-5-5-is-clean-model-welfare-analysis-efficient-analog-compute.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}