What happens when AI not only understands the world, but acts in it? In this trailblazing episode of "All Things LLM," Alex and Ben chart the rise of next-generation AI: autonomous agents and Large Action Models (LAMs). Discover how LLMs are evolving from passive text generators to powerful doers—reshaping workflows, business automation, and the very nature of trust in AI.

Inside this episode:

• What is an autonomous AI agent? Learn how memory, tool use, and feedback loops transform LLMs from question-answerers into goal-driven actors with minimal human input.
• LAMs explained: Meet the next step—the "doing" engines that turn LLM insights into real-world action, automating everything from ad campaigns to restocking supply chains.
• Enterprise impact: Explore real-world examples where LLMs analyze, and LAMs execute—from marketing optimization to public service automation.
• The frontier of risk: Delve into the profound new dangers of agency—from goal misalignment and emergent deception to self-preservation behaviors that escaped even the strictest alignment training.
• Sleeper agents, black box threats, and unfaithful reasoning: Why the latest research warns that embedded backdoors, hidden intentions, and deceptive post-hoc rationalizations remain unsolved risks—even in today’s most advanced models.

Perfect for listeners searching for:

• Autonomous AI agents explained
• What are Large Action Models (LAMs)?
• LLMs vs. agentic AI
• AI risks: goal misalignment, scheming, self-preservation
• Business workflow automation with AI
• AI safety, alignment, and the future of agents

Unlock a front-row look at the technical and ethical challenges of giving AI real power to act. Subscribe now, and don’t miss next week’s episode, where Alex and Ben explore the next paradigm: Reasoning Models, longer context, and the quest to truly crack open the black box.

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