Deep Dive Into Long Context Google AI: Release Notes podcast

#Science #Tech #Google #Google AI

35:19

We’ve turned intuition into a buzzword—flattened it into a slogan, a gut feeling, or a vague whisper we don’t always know how to hear. But what if intuition is so much more? What if it's one of the most powerful tools we have—and we’ve just forgotten how to use it? In this episode, I’m joined by Hrund Gunnsteinsdóttir , Icelandic thought leader, filmmaker, and author of InnSæi: Icelandic Wisdom for Turbulent Times . Hrund has spent over 20 years studying and teaching the science and art of intuition through her TED Talk, Netflix documentary ( InnSæi: The Power of Intuition ), and global work on leadership, innovation, and inner knowing. Together, we explore what intuition really is (hint: not woo-woo), how to cultivate it in a culture obsessed with logic and overthinking, and why your ability to listen to yourself might be the most essential skill you can develop. In This Episode, We Cover: ✅ Why we’ve misunderstood intuition—and how to reclaim it ✅ Practical ways to strengthen your intuitive muscle ✅ What Icelandic wisdom teaches us about inner knowing ✅ How to use intuition during uncertainty and decision-making ✅ Why trusting yourself is an act of rebellion (and power) Intuition isn’t magic—it’s a deep, internal guidance system that already exists inside you. The question is: are you listening? Connect with Hrund: Website: www.hrundgunnsteinsdottir.com TedTalk: https://www.ted.com/talks/hrund_gunnsteinsdottir_listen_to_your_intuition_it_can_help_you_navigate_the_future?utm_campaign=tedspread&utm_medium=referral&utm_source=tedcomshare Newsletter: https://hrundgunnsteinsdottir.com/blog/ LI: www.linkedin.com/in/hrundgunnsteinsdottir IG: https://www.instagram.com/hrundgunnsteinsdottir/ Book: InnSæi: Icelandic Wisdom for Turbulent Times Related Podcast Episodes: How To Breathe: Breathwork, Intuition and Flow State with Francesca Sipma | 267 VI4P - Know Who You Are (Chapter 4) Gentleness: Cultivating Compassion for Yourself and Others with Courtney Carver | 282 Share the Love: If you found this episode insightful, please share it with a friend, tag us on social media, and leave a review on your favorite podcast platform! 🔗 Subscribe & Review: Apple Podcasts | Spotify | Amazon Music…

Google AI: Release Notes »
Deep Dive into Long Context

16 days ago 59:32

MP3•Episode home

Chapters:
0:52 Introduction & defining tokens
5:27 Context window importance
9:53 RAG vs. Long Context
14:19 Scaling beyond 2 million tokens
18:41 Long context improvements since 1.5 Pro release
23:26 Difficulty of attending to the whole context
28:37 Evaluating long context: beyond needle-in-a-haystack
33:41 Integrating long context research
34:57 Reasoning and long outputs
40:54 Tips for using long context
48:51 The future of long context: near-perfect recall and cost reduction
54:42 The role of infrastructure
56:15 Long-context and agents

6 episodes

Deep Dive into Long Context

Google AI: Release Notes

published 16 days ago

MP3•Episode home

6 episodes

#Science #Tech #Google #Google AI

All episodes

1
Deep Dive into Long Context 59:32

16 days ago59:32

59:32

Explore the synergy between long context models and Retrieval Augmented Generation (RAG) in this episode of Release Notes. Join Google DeepMind's Nikolay Savinov as he discusses the importance of large context windows, how they enable Al agents, and what's next in the field. Chapters: 0:52 Introduction & defining tokens 5:27 Context window importance 9:53 RAG vs. Long Context 14:19 Scaling beyond 2 million tokens 18:41 Long context improvements since 1.5 Pro release 23:26 Difficulty of attending to the whole context 28:37 Evaluating long context: beyond needle-in-a-haystack 33:41 Integrating long context research 34:57 Reasoning and long outputs 40:54 Tips for using long context 48:51 The future of long context: near-perfect recall and cost reduction 54:42 The role of infrastructure 56:15 Long-context and agents…

1
Launching Gemini 2.5 27:55

7 weeks ago27:55

27:55

Tulsee Doshi, Head of Product for Gemini Models joins host Logan Kilpatrick for an in-depth discussion on the latest Gemini 2.5 Pro experimental launch. Gemini 2.5 is a well-rounded, multimodal thinking model, designed to tackle increasingly complex problems. From enhanced reasoning to advanced coding, Gemini 2.5 can create impressive web applications and agentic code applications. Learn about the process of building Gemini 2.5 Pro experimental, the improvements made across the stack, and what’s next for Gemini 2.5. Chapters: 0:00 - Introduction 1:05 - Gemini 2.5 launch overview 3:19 - Academic evals vs. vibe checks 6:19 - The jump to 2.5 7:51 - Coordinating cross-stack improvements 11:48 - Role of pre/post-training vs. test-time compute 13:21 - Shipping Gemini 2.5 15:29 - Embedded safety process 17:28 - Multimodal reasoning with Gemini 2.5 18:55 - Benchmark deep dive 22:07 - What’s next for Gemini 24:49 - Dynamic thinking in Gemini 2.5 25:37 - The team effort behind the launch Resources: Gemini → https://goo.gle/41Yf72b Gemini 2.5 blog post → https://goo.gle/441SHiV Example of Gemini’s 2.5 Pro’s game design skills → https://goo.gle/43vxkq1 Demo: Gemini 2.5 Pro Experimental in Google AI Studio → https://goo.gle/4c5RbhE…

1
Gemini app: Canvas, Deep Research and Personalization 36:53

8 weeks ago36:53

36:53

Dave Citron, Senior Director Product Management, joins host Logan Kilpatrick for an in-depth discussion on the latest Gemini updates and demos. Learn more about Canvas for collaborative content creation, enhanced Deep Research with Thinking Models and Audio Overview and a new personalization feature. 0:00 - Introduction 0:59 - Recent Gemini app launches 2:00 - Introducing Canvas 5:12 - Canvas in action 8:46 - More Canvas examples 12:02 - Enhanced capabilities with Thinking Models 15:12 - Deep Research in action 20:27 - The future of agentic experiences 22:12 Deep Research and Audio Overviews 24:11 - Personalization in Gemini app 27:50 - Personalization in action 29:58 - How personalization works: user data and privacy 32:30 -The future of personalization…

1
Developing Google DeepMind's Thinking Models 1:03:32

12 weeks ago1:03:32

1:03:32

Jack Rae, Principal Scientist at Google DeepMind, joins host Logan Kilpatrick for an in-depth discussion on the development of Google’s thinking models. Learn more about practical applications of thinking models, the impact of increased 'thinking time' on model performance and the key role of long context. 01:14 - Defining Thinking Models 03:40 - Use Cases for Thinking Models 07:52 - Thinking Time Improves Answers 09:57 - Rapid Thinking Progress 20:11 - Long Context Is Key 27:41 - Tools for Thinking Models 29:44 - Incorporating Developer Feedback 35:11 - The Strawberry Counting Problem 39:15 - Thinking Model Development Timeline 42:30 - Towards a GA Thinking Model 49:24 - Thinking Models Powering AI Agents 54:14 - The Future of AI Model Evals…

1
Behind the Scenes of Gemini 2.0 35:18

23 weeks ago35:18

35:18

Tulsee Doshi, Gemini model product lead, joins host Logan Kilpatrick to go behind the scenes of Gemini 2.0, taking a deep dive into the model's multimodal capabilities and native tool use, and Google's approach to shipping experimental models. Watch on YouTube: https://www.youtube.com/watch?v=L7dw799vu5o Chapters: Meet Tulsee Doshi Gemini's Progress Over the Past Year Introducing Gemini 2.0 Shipping Experimental Models Gemini 2.0’s Native Tool Use Function Calling Multimodal Agents Rapid Fire Questions…

1
Smaller, Faster, Cheaper & The Story of Flash 8B 43:20

23 weeks ago43:20