# The Death of One-Size-Fits-All AI: Why We Are Moving to Dynamic Thinking Time Page: https://stenobird.com/podcast/ai-with-shaily-7095384/the-death-of-one-size-fits-all-ai-why-we-are-moving-to-dynamic-thinking-time Text version: https://stenobird.com/podcast/ai-with-shaily-7095384/the-death-of-one-size-fits-all-ai-why-we-are-moving-to-dynamic-thinking-time.md Podcast: [AI with Shaily](https://stenobird.com/podcast/ai-with-shaily-7095384) Published: 2026-06-08T13:48:14+00:00 Episode link: https://soundcloud.com/shailendra-kumaar/the-death-of-one-size-fits-all Audio file: https://feeds.soundcloud.com/stream/2335446596-shailendra-kumaar-the-death-of-one-size-fits-all.mp3 Processing state: not_requested JSON: https://stenobird.com/v1/public/podcasts/ai-with-shaily-7095384/episodes/the-death-of-one-size-fits-all-ai-why-we-are-moving-to-dynamic-thinking-time Duration seconds: 836 ## Resource Are we finally paying for AI 'thought' rather than just 'output'? 🧠 In this episode, Shailendra Kumar breaks down the massive shift toward Dynamic Test-Time Scaling and the rise of local, 1-bit quantized models on our devices. Discover how companies like Anthropic, Meta, and Apple are redefining the economics of AI, while navigating the strict compliance hammer of the new EU AI Act. Learn what this means for your privacy, your pocket, and the future of digital workers. 👉 If you want to stay ahead of the curve, hit like, follow, and share your thoughts in the comments! ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/ai-with-shaily-7095384/episodes/the-death-of-one-size-fits-all-ai-why-we-are-moving-to-dynamic-thinking-time/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/ai-with-shaily-7095384/the-death-of-one-size-fits-all-ai-why-we-are-moving-to-dynamic-thinking-time.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.