Ai agents

AI Agents + LLM Reasoning: Transforming Autonomous Workflows

AI Agents + LLM Reasoning: Transforming Autonomous Workflows

Explore the distinction between LLMs and AI agents, focusing on how agents leverage reasoning, tool calling, and the ReAct prompting framework for autonomous decision-making and task execution in complex business workflows.

No Priors Ep. 137 | With Warp Co-Founder & CEO Zach Lloyd

No Priors Ep. 137 | With Warp Co-Founder & CEO Zach Lloyd

Warp CEO Zach Lloyd discusses the evolution of the developer terminal into an agentic platform, the shift from manual coding to a future of automated development, and the philosophical questions surrounding AI intelligence versus consciousness.

RIP Windows 10, automated code repair and battling the payroll pirates

RIP Windows 10, automated code repair and battling the payroll pirates

Experts discuss the security implications of Windows 10's end-of-life, the transformative but cautious integration of AI into Security Operations Centers (SOCs), the promise and peril of AI-driven automated code repair, and the ongoing battle against social engineering attacks like payroll fraud.

Overcoming Agentic Memory Management Challenges

Overcoming Agentic Memory Management Challenges

Biswaroop Bhattacharjee from Prem AI discusses Cortex, a novel AI memory system inspired by human cognition. The conversation explores moving beyond traditional flat memory structures to hierarchical, context-aware systems that enable more sophisticated and less noisy retrieval for AI agents.

A2A:The Agent-to-Agent Protocol

A2A:The Agent-to-Agent Protocol

Heiko Hotz and Sokratis Kartakis of Google Cloud introduce the Agent-to-Agent (A2A) protocol, a new open standard for enabling stateful, secure, and asynchronous collaboration between AI agents built on different frameworks. They contrast it with tool-use protocols like MCP and discuss its microservices-like architectural benefits.

Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question

Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question

Nathan Labenz joins Erik Torenberg to challenge the narrative that AI progress is slowing down. He argues that despite perceptions around GPT-5, capabilities in reasoning and frontier science are advancing exponentially. They discuss the future of AI agents, the prospect of recursive self-improvement, the impact on jobs, and progress beyond language models into robotics and biology. The conversation culminates in a call for a more imaginative, positive vision to guide AI's trajectory.