What does the future of agentic AI look like, and how close are we to building systems that truly mimic and enhance human reasoning? In this episode of Everything Bagel, Alex Kehaya joins Bidhan Roy, founder of Bagel, to explore the cutting edge of open-source AI and its transformative potential.
The conversation unpacks the concept of agentic AI—systems capable of reasoning, planning, and executing tasks with minimal human intervention—and the revolutionary infrastructure Bagel is building to enable collaborative development of open-source foundation models. Bidhan shares insights into groundbreaking AI research, including fine-tuning techniques, adapters, and cryptographic ownership models that empower developers and communities to monetize their AI contributions.
The episode also takes an in-depth look at large language models (LLMs): Do they genuinely understand the data they process, or are they merely "stochastic parrots" mimicking human reasoning? We delve into the mysterious "black box" nature of neural networks and the concerns surrounding AI models potentially feigning alignment with human goals.
From the challenges of reasoning in neural networks to the implications of quantum computing in AI development, this episode offers a deep dive into the evolving landscape of AI and its significance for developers, researchers, and the future of innovation.
Tune in to discover how Bagel is shaping the next wave of decentralized, community-driven AI.
The future of monetizable open-source AI begins now.
Bagel: https://blog.bagel.net/
X: https://x.com/BagelOpenAI
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