Ai agents

The Agentic Web and the Bazaar Era of AI - Ramesh Raskar, MIT Media Lab

The Agentic Web and the Bazaar Era of AI - Ramesh Raskar, MIT Media Lab

Project Nanda introduces the Agentic Web, an open infrastructure designed to break AI agents out of "walled gardens" and enable truly interconnected, autonomous interactions. It focuses on three core layers: Discovery, using the Nanda Index for agents to find and trust each other; Commerce, facilitating "knowledge pricing" markets for agents to pay for intelligence and services; and the Bazaar, fostering machine co-learning through the Nanda Town simulator, a sandbox for testing large-scale agent coordination and protocols. This initiative aims to establish an open, permissionless ecosystem for trillions of AI agents.

Stop AI Agent Hallucinations: 5 Techniques + Production Patterns - Elizabeth Fuentes, AWS

Stop AI Agent Hallucinations: 5 Techniques + Production Patterns - Elizabeth Fuentes, AWS

Explore five research-backed techniques to overcome common AI agent architectural limitations like hallucination, inefficient tool use, and rule violations. Learn how to implement semantic tool selection, Graph-RAG, multi-agent validation, neurosymbolic guardrails, and agent steering through code changes, not prompt engineering, and deploy them using AWS Bedrock Agent Core for robust and cost-effective AI agents.

Agentic AI Frameworks Explained: Workflows, Multi-Agent, & Production

Agentic AI Frameworks Explained: Workflows, Multi-Agent, & Production

This video tackles the overwhelming choice of agentic AI frameworks by categorizing projects into five types: linear workflows, autonomous multi-agent systems, role-based AI, production orchestration, and rapid prototyping. It details each type with examples and recommends specific frameworks like LangChain, AutoGen, and CrewAI, guiding developers to select the optimal tool based on their system design and real-world needs.

What do we build now? — Theo Browne, @t3dotgg

What do we build now? — Theo Browne, @t3dotgg

Theo Browne's keynote from AIEWF2026 urges software engineers to fundamentally change product development in response to rapidly evolving AI models (Sonnet 3.5 to Mythos). He advocates for rejecting legacy mental models and tools (skeuomorphism), embracing a new "Markdown tier" for projects, and thinking "wider" instead of just "deeper" by building extensible platforms that can challenge industry giants. The core message is to be more ambitious, as AI has drastically lowered the barrier to entry for complex, broad-reaching solutions.

Automate Workflows w/ Autonomous Tools Real-Time AI Agents | Aytekin Tank | Founder & CEO | Jotform

Automate Workflows w/ Autonomous Tools Real-Time AI Agents | Aytekin Tank | Founder & CEO | Jotform

Aytekin Tank, Founder and CEO of Jotform, discusses how AI is revolutionizing software development and customer support, highlighting "vibe coding" and Jotform's 80% AI-handled support with zero layoffs. He also shares his "Theory of Constraints" playbook for scaling businesses and explores the potential of ChatGPT apps, all within Jotform's 20-year bootstrapped journey.

Software in the Age of Agents | The a16z Show

Software in the Age of Agents | The a16z Show

This conversation explores the shift in enterprise software as AI agents become primary users, moving towards 'headless' architectures where data and logic, rather than UIs, hold key value. It delves into the enduring stickiness of systems like SAP, driven by deep business process codification, and highlights that 'exception handling' is central to enterprise complexity. The discussion identifies new startup opportunities arising from AI, focusing on enhancing existing systems and bridging organizational functions rather than direct competition.