Agentic AI

What if the model you've been evaluating has been evaluating you right back? New research finds that LLMs systematically alter their output depending on whether, and by whom, they believe they are being observed. It might have serious implications - are you ready?...

A new paper out of arXiv this week describes an AI system that builds, improves, and deploys its own specialist agents. Here is what that actually means for engineers and technical teams....

Most AI agents are stuck in their ways. Built once, they repeat the same patterns regardless of the task at hand. But new research suggests a smarter path forward: agents that get sharper with every challenge they face......

Jensen Huang called it "the ChatGPT moment for robotics." Deloitte says 80% of businesses plan to use physical AI within two years. Here is what you actually need to know, and do, to prepare…...

Synthetic task scaling introduces a new training approach where AI agents learn through experience, closing the gap between knowledge and execution. Are you ready for the rise of the AI scientist?...

What the data shows AI agents are scaling faster than your ability to control them. * Agent deployment doubled in 2025: As enterprises moved...

Catch up on every session from AIAI Summit Silicon Valley with sessions from all 4 tracks. Chief AI & CISO Summit and Generative & Agentic AI....

As AI agents grow more autonomous, trust can't rely on logs alone. In this this article, I explore how cryptographic techniques — from content-addressed code to tamper-evident audit trails — are laying the groundwork for a new era of verifiable, auditable AI....

Everyone is talking about Claude Code. With millions of weekly downloads and a rapidly expanding feature set, it has quietly become one of the most powerful tools in a developer's arsenal. But most people are barely scratching the surface....

From clean dashboards to messy intelligence systems....

Why the future of AI systems will be driven by inference and agent workloads....

AI is splitting in two directions. One path is controlled, restricted, and security-first. The other is open, autonomous, and scaling fast. The real question isn’t which is better, it’s what this means for trust....

We call it machine learning. But do machines actually learn? Today's AI systems train, optimize, and scale, but real learning is something else entirely. The distinction matters more than the industry wants to admit....

While we've seen remarkable progress in AI for coding and mathematics, creating agents that can navigate the messy, open-ended nature of real research (where things break for no obvious reason) has proven far more challenging....

After ChatGPT’s breakthrough, the race to define the next frontier of generative AI accelerated. One of the most talked-about innovations was OpenAI’s Sora, a text-to-video AI model that promised to transform digital content creation....