The podcast discusses large action models (LAMs) and their integration with AI models and external systems. They explore the potential of Rabbit's AI OS approach as an alternative to phones and discuss the impact of AI on society. The hosts also delve into the challenges of expressing human intentions in computer systems and speculate on the future of smartphones. They end by making predictions and recommendations.
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Quick takeaways
Large Action Models (LAMs) are neuro-symbolic architectures that enable AI systems to perform arbitrary actions in different applications without prior knowledge of their structures or APIs.
AI-driven personal devices like the Rabbit R1 aim to integrate AI into users' daily lives, offering personalized assistance, but raise concerns about privacy and data security.
Deep dives
Rabbit R1 and AI Pen: AI-driven personal devices
The podcast discusses the emergence of AI-driven personal devices like the Rabbit R1 and AI Pen. These devices aim to integrate AI into users' daily lives and offer personalized assistance for various tasks. While there is excitement about the potential benefits, there are also concerns about privacy and data security associated with these devices.
Large Action Models: Neuro-symbolic architecture for AI interactions
The podcast explores the concept of large action models, which are neuro-symbolic architectures that enable AI systems to perform arbitrary actions on various applications without prior knowledge of their structures or APIs. These models leverage multimodal inputs, symbolic logic processing, and learned programs from human demonstrations to execute actions within different applications.
Implications for the Future of AI and Personal Devices
The podcast speculates on the potential impact of AI-driven personal devices on the future. It raises questions about the evolving role of smartphones, the involvement of major cloud service providers, and the possibilities of local edge computing. The future of AI interactions and the balance between convenience and privacy are also discussed.
Related Research and References
The podcast highlights the availability of research materials and references on the Rabbit Research website, providing additional insights into large action models, multimodal AI, and neuro-symbolic architectures. It also suggests exploring tools and documentation on Langchain, a platform for AI language models that facilitate integrations with external systems.
Recently the release of the rabbit r1 device resulted in huge interest in both the device and âLarge Action Modelsâ (or LAMs). What is an LAM? Is this something new? Did these models come out of nowhere, or are they related to other things we are already using? Chris and Daniel dig into LAMs in this episode and discuss neuro-symbolic AI, AI tool usage, multimodal models, and more.
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