Build with rabbit OS3: The OS You Talk To
Jesse Lyu & Aidan Shain
Founder & CEO; Software Developer · rabbit
Live Labs
Short, practical sessions with the people building and applying AI right now.
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Live Labs
Short, practical sessions with the people building and applying AI right now.
Showing 10 sessions
Build with rabbit OS3: The OS You Talk To
Jesse Lyu and Aidan Shain introduce rabbit OS3 and demonstrate its approach to an agentic operating system. Explore conversational tasks, connected devices, model switching, and the controls that guide actions across the system.
Jesse Lyu & Aidan Shainrabbit
AI Tokenomics Explained
Haritha Thilakarathne explains the economics of AI tokens, connecting demand and supply with inference efficiency and monetization. Explore how these factors influence capacity, operating costs, and sustainable scaling.
Haritha ThilakarathneNVIDIA
Secure AI Agents: Identity, Secrets & Access in Production
Mariane Bekker
Director of Developer Relations · 1Password
Secure AI Agents: Identity, Secrets & Access in Production
Mariane Bekker explores how to protect production AI agents as they connect to business systems. Learn to manage agent identities, restrict access, safeguard credentials, and secure tool connections.
Mariane Bekker1Password
Inside LinkedIn: Building AI Products at Global Scale
Tim Jurka
VP of Consumer Products · LinkedIn
Inside LinkedIn: Building AI Products at Global Scale
Tim Jurka shares a leadership perspective on developing AI-powered consumer experiences at LinkedIn, where product decisions must work across a large professional network and multiple engineering disciplines.
Tim JurkaLinkedIn
Figma MCP vs. Paper MCP: What Evals Actually Tell You
Jessica Wang
Developer Advocate · Braintrust
Figma MCP vs. Paper MCP: What Evals Actually Tell You
Jessica Wang compares Figma and Paper MCP workflows to show how explicit tasks, representative datasets and scoring criteria turn AI-tool selection into a repeatable evaluation.
Jessica WangBraintrust
Deploying Sovereign AI Agents in the Enterprise
Siva Surendira examines deployment choices for organizations that need control over AI data and infrastructure, including isolated environments and governance across existing agent systems.
Siva SurendiraLyzr AI
Fireside Chat with Chris Taylor, VP & Fellow at Google
Christopher Taylor
VP and Engineering Fellow · Google
Fireside Chat with Chris Taylor, VP & Fellow at Google
Christopher Taylor discusses enterprise adoption of AI, the importance of context and data infrastructure, and how graph-based approaches and agent workloads change the engineering tradeoffs.
Christopher TaylorGoogle
How to Deploy AI Agents to Production (Live RAG Demo)
Rami Krispin
Data Science and Engineering Leader; Docker Captain · Docker community / LinkedIn Learning
How to Deploy AI Agents to Production (Live RAG Demo)
Rami Krispin demonstrates container-based deployment for an AI retrieval application, connecting reproducible development environments with the operational requirements of running AI services in production.
Rami KrispinDocker community / LinkedIn Learning
The Signal Loop: What to BUILD when you can build anything
Lena Hall
Senior Director, Developer and AI Strategy · Akamai
The Signal Loop: What to BUILD when you can build anything
Lena Hall discusses choosing valuable problems and communicating product value when AI makes similar-looking products easy to produce. The session connects positioning, customer trust and feedback-driven adoption.
Lena HallAkamai
LLM Fine-Tuning Decision Framework
Sinan Ozdemir
Head of AI Developer Education · Fireworks AI
LLM Fine-Tuning Decision Framework
Sinan Ozdemir outlines how to decide whether model fine-tuning is justified by measurable quality, latency and cost needs, compared with improvements elsewhere in an AI system.
Sinan OzdemirFireworks AI