Creating Agents that Co-Create - AI's Evolution from Tools to Collaborative Innovation Partners
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Explore how AI is evolving from narrow task-focused tools to collaborative agents that meaningfully contribute to real-world innovation in this 24-minute conference talk. Discover insights on two major scaling paradigms transforming frontier product research, drawn from contributions to ChatGPT and Claude development. Learn how AI increasingly handles tasks once reserved for skilled builders, fundamentally altering the Internet's fabric and the nature of learning itself. Examine scaling reinforcement learning approaches, streaming models' thought processes, and the emergence of co-innovators in AI development. Investigate a new class of tasks emerging in AI systems and delve into reinforcement learning applications, including Canvas as a programming tool. Consider the implications for creators and builders as AI capabilities expand, addressing fundamental questions about what should be built and why when AI increasingly performs work traditionally done by humans.
Syllabus
Introduction
Scaling paradigms
Scaling reinforcement learning
Streaming models thoughts
Co innovators
New class of tasks
Reinforcement learning
Canvas
Canvas as a PR programmer
Future of AI
Taught by
AI Engineer