Try for free
Crypto Coin Show
Crypto Coin Show

Large Action Models： The Next AI Revolution Beyond ChatGPT ｜ Action Model Interview

06 February 2026 28:49 Crypto Coin Show

Listen to episode

About this episode

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.

🔔JOIN OUR FREE NEWSLETTER FOR 100X GAINS🔔: https://cryptocoinshow.substack.com/subscribe

More AI podcast episodes

Browse all →

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Crypto Coin Show. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support