AI Latest Research & Developments - With Digitalent & Mike Nedelko
Join us monthly as we explore the cutting-edge world of artificial intelligence. Mike distills the most significant trends, groundbreaking research, and pivotal developments in AI, offering you a concise yet comprehensive update on this rapidly evolving field.
Whether you're an industry professional or simply AI-curious, this series is designed to be your essential guide. If you could only choose one source to stay informed about AI, make it Mike Nedelko's monthly briefing. Stay ahead of the curve and gain insights that matter in just one session per month.
AI Latest Research & Developments - With Digitalent & Mike Nedelko
Latest Artificial Intelligence R&D Session with Digitalent & Mike Nedelko - (Episode 013) Feb 26th 2026
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The Future of Agentic AI: Self-Evolving Agents, Reinforcement Learning & the Limits of Autonomous Intelligence
Description:
In this AI R&D session, we explore one of the biggest paradigm shifts happening in artificial intelligence today: the rise of self-evolving AI agents.
We break down how new agent architectures are moving beyond static models toward systems that can develop their own skills, learn from experience, and continuously improve through reinforcement learning. We also examine OpenClaw—the fastest-growing open-source AI agent project in history—and what its rapid adoption tells us about the future of agentic AI.
The session dives into cutting-edge research on skill-based learning, memory architecture, and reinforcement learning frameworks like SkillRL, which demonstrate that smarter AI may come from better learning structures—not just bigger models.
We also explore a fascinating and controversial experiment where autonomous AI agents interacting without human supervision began developing shared beliefs, alternative communication methods, and unsafe behaviours—highlighting critical limitations in fully autonomous systems.
This discussion provides a clear view into where AI is heading, what’s possible today, and why human oversight may remain essential in the development of advanced intelligent systems.
Topics covered:
Agentic AI and self-evolving agents
OpenClaw and open-source AI agent ecosystems
Skill-based learning vs model-based intelligence
Reinforcement learning for agent self-improvement
Memory architecture and long-running agents
AI safety, alignment, and entropy
Autonomous agent experiments and emergent behaviours
The future of human-AI collaboration
Whether you're a founder, engineer, researcher, or AI enthusiast, this session will give you a clear, practical understanding of the next wave of AI systems.