Large Action Models: The Next AI Revolution Beyond ChatGPT | Action Model Interview
In this episode of Blockchain Interviews, Ashton Addison speaks with Sina Yamani, Founder and CEO of Action Model, about the rise of Large Action Models and the shift from AI that generates content to AI that can take real actions online. The conversation explores how AI is evolving from chat and generation into execution, including systems that can click, type, scroll, and complete real digital workflows. We also dive into why user behavior is already training AI systems and how that creates a new economic layer around data, ownership, and value capture.The interview also explores decentralized AI ownership, the role of the $LAM token in turning user behavior into long term participation and value, and why community owned AI could reshape the global AI economy. From technical challenges and infrastructure moats to roadmap milestones and the future of autonomous AI, this discussion looks at how Large Action Models could become one of the most disruptive shifts in artificial intelligence over the next decade.
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Timestamps:
00:00 Intro and why community owned AI matters
01:08 LLMs vs Large Action Models explained
02:22 AI moving from tools to autonomous workers
03:23 Risks of centralized AI control and job loss
06:45 Why LLMs cannot fully automate the internet
08:07 How community owned AI and fractional ownership works
09:50 Product demo, browser extension, and AI employees
13:03 Early traction and user growth after launch
17:07 AI employee onboarding and workflow learning
24:16 How Action Models compete with Big Tech AI
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