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Chain of Thought

Podcast Chain of Thought
Galileo
Introducing Chain of Thought, the podcast for software engineers and leaders that demystifies artificial intelligence. Join us each week as we tell the storie...

Available Episodes

5 of 13
  • The Making of Gemini 2.0: DeepMind's Approach to AI Development and Deployment | Logan Kilpatrick
    Google’s strength in AI has often seemed to get lost in the midst of OpenAI announcements or DeepSeek fervor - yet Gemini 2.0 is more than good for many tasks; it’s the model to beat - and we have the research to back it up. This week, Logan Kilpatrick, senior product manager at Google DeepMind, joins us to discuss Gemini’s creation story, its emergence as the premiere model in the AI race, and why the launch of Gemini 2.0 is great news for developers.During the conversation Conor and Logan explore the exciting world of multimodal AI, Gemini's strengths in agentic use cases, and its unique approach to function calling, compositional function calling, and the seamless integration of tools like search and code execution.They also chat about Logan’s vision for a future where AI interacts with the world more naturally, offering a view of the potential of vision-first AI agents, and why Google's hardware advantage is enabling Gemini's impressive performance and long context capabilities. Follow along with the discussion using Galileo’s AI Agent Leaderboard:https://huggingface.co/spaces/galileo-ai/agent-leaderboardChapters:00:00 DeepMind's Role in Gemini's Development03:49 Gemini 2.0 Updates and Developer Highlights06:08 Agentic Use Cases and Function Calling11:29 Multimodal Capabilities16:15 Putting AI in Production21:06 Gemini's Differentiation and Hardware31:22 Future Vision for Gemini and G Suite Integration35:23 Gemini for Developers39:02 Conclusion and FarewellFollow the hostsFollow⁠⁠⁠Atin⁠⁠⁠Follow⁠⁠⁠Conor⁠⁠Follow⁠Vikram⁠Follow⁠⁠⁠Yash⁠⁠⁠Follow LoganTwitter:@OfficialLoganKLinkedIn:https://www.linkedin.com/in/logankilpatrick/Show NotesTry Gemini for yourself:gemini.google.comGemini for Developers:aistudio.google.comCheck out Galileo⁠⁠Try Galileo⁠⁠
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  • DeepSeek Fallout, Export Controls & Agentic Evals
    This week, hosts Conor Bronsdon and Atindriyo Sanyal discuss the fallout from DeepSeek's groundbreaking R1 model, its impact on the open-source AI landscape, and how its release will impact model development moving forward. They also discuss what effect (if any) export controls have had on AI innovation and whether we’re witnessing the rise of “Agents as a Service”.  To tackle the increasing complexity of agentic systems, Conor and Atin highlight the need for robust evaluation frameworks, discussing the challenges of measuring agent performance, and how the recent launch of Galileo's agentic evaluations are empowering developers to build safer and more effective AI agents. Chapters: 00:00 Introduction 02:09 DeepSeek's Impact and Innovations 03:43 Open Source AI and Industry Implications 13:44 Export Controls and Global AI Competition 18:55 Software as a Service 19:29 Agentic Evaluations 25:14 Metrics for Success 31:34 Conclusion and Farewell Follow the hosts Follow ⁠⁠Atin⁠⁠ Follow ⁠⁠Conor⁠ Follow Vikram Follow ⁠⁠Yash⁠⁠ Check out Galileo Try Galileo Show Notes On DeepSeek and Export Controls Introducing Agentic Evaluations
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  • AI, Open Source & Developer Safety | Block’s Rizel Scarlett
    As DeepSeek so aptly demonstrated, AI doesn’t need to be closed source to be successful. This week, Rizel Scarlett, a Staff Developer Advocate at Block, joins Conor Bronsdon to discuss the intersections between AI, open source, and developer advocacy. Rizel shares her journey into the world of AI, her passion for empowering developers, and her work on Block's new AI initiative, Goose, an on-machine developer agent designed to automate engineering tasks and enhance productivity. Conor and Rizel also explore how AI can enable psychological safety, especially for junior developers. Building on this theme of community, they also dive into topics such as responsible AI development, ethical considerations in AI, and the impact of community involvement when building open source developer tools. Chapters: 00:00 Rizel's Role at Block 02:41 Introducing Goose: Block's AI Agent 06:30 Psychological Safety and AI for Developers 11:24 AI Tools and Team Dynamics 17:28 Open Source AI and Community Involvement 25:29 Future of AI in Developer Communities 27:47 Responsible and Ethical Use of AI 31:34 Conclusion Follow Conor Bronsdon: https://www.linkedin.com/in/conorbronsdon/ Rizel Scarlett LinkedIn: https://www.linkedin.com/in/rizel-bobb-semple/ Website: https://blackgirlbytes.dev/ Show Notes Learn more about Goose: https://block.github.io/goose/
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  • AI in 2025: Agents & The Rise of Evaluation Driven Development
    "In the next three to five years, every piece of software that is built on this planet will have some sort of AI baked into it." - Atin Sanyal Chain of Thought is back for its second season, and this episode dives headfirst into the possibilities AI holds for 2025 and beyond. Join Conor Bronson as he chats with Galileo co-founders Yash Sheth (COO) and Atindriyo Sanyal (CTO) about major trends to look for this year. These include AI finding its product "tool stack" fit, generation latency decreasing, AI agents, their potential to revolutionize code generation and other industries, and the crucial role of robust evaluation tools in ensuring the responsible and effective deployment of these agents. Yash and Atin also highlight Galileo's focus on building trust and security in AI applications through scalable evaluation intelligence. They emphasize the importance of quantifying application behavior, enforcing metrics in production, and adapting to the evolving needs of AI development. Finally, they discuss Galileo's vision for the future and their active pursuit of partnerships in 2025 to contribute to a more reliable and trustworthy AI ecosystem. Chapters: 00:00 AI Trends and Predictions for 2025 02:55 Advancements in LLMs and Code Generation 05:16 Challenges and Opportunities in AI Development 10:40 Evaluating AI Agents and Applications 16:07 Building Evaluation Intelligence 23:41 Research Opportunities 29:50 Advice for Leveraging AI in 2025 32:00 Closing Remarks Show Notes: Check out Galileo⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow Yash Follow Atin Follow Conor
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  • Now is the Time to Build | Weaviate’s Bob van Luijt
    "This is the time. This is the time to start building... I can't say that often enough. This is the time." - Bob van Luijt  Join Bob van Luijt, CEO and co-founder of Weaviate as he sits down with our host Conor Bronson for the Season 2 premiere of Chain of Thought. Together, they explore the ever-evolving world of AI infrastructure and the evolution of Retrieval-Augmented Generation (RAG) architecture. Bob's journey with Weaviate offers a compelling example of how to adapt to rapid changes in the AI landscape. He discusses the importance of understanding developer needs and building AI-native solutions, emphasizing the potential of generative feedback loops and agent architectures to revolutionize data management. Chapters: 00:00 Welcome to Season 2 1:43 The Evolution of AI Infrastructure 04:13 Navigating Rapid Changes in AI 07:39 Generative Feedback Loops and AI Native Databases 13:26 Challenges and Opportunities in AI Production 19:03 The Importance of Documentation and Developer Experience 27:13 Future Predictions and Paradigm Shifts in AI 31:17 Final Thoughts and Encouragement to Build Follow: Conor Bronsdon: ⁠https://www.linkedin.com/in/conorbronsdon/⁠ Bob van Luijt: ⁠https://www.linkedin.com/in/bobvanluijt/ Weaviate: https://www.linkedin.com/company/weaviate-io/ Show notes: Learn more about Weaviate: https://weaviate.io/
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About Chain of Thought

Introducing Chain of Thought, the podcast for software engineers and leaders that demystifies artificial intelligence. Join us each week as we tell the stories of the people building the AI revolution, unravel actionable strategies and share practical techniques for building effective GenerativeAI applications.
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