Agentic AI

The gap between efficient reasoning and accurate reasoning, it turns out, is real — and most benchmark marketing glosses right over it....

Transparency scores are falling, hallucination rates on user-framed statements hit as high as 94%, and benchmark performance still fails to predict real-world results. The gap between what AI can do and what organizations can actually verify is now the problem worth solving......

In Q1 2026, AI companies pulled in $242 billion in venture capital. That is 80% of all global VC funding for the quarter. From coding to compliance, customer service to clinical documentation, these 30 companies are not updating enterprise software. They are rebuilding it from scratch....

A Microsoft and Huazhong University benchmark tested GPT-4o, GPT-5, Grok-3, and others on realistic enterprise data scenarios. Privacy violation rates hit 50.9%. More capable models made it worse, and the fix has nothing to do with model selection......

Your reward model is learning exactly what your annotators prefer. The problem is that "better" and "unbiased" are two different things, and RLHF has no way to tell them apart....

Multi-turn reasoning is broken in a way nobody saw coming. The question is; what can we do to fix it?...

Most GTM teams deploy AI where it's most visible. The question worth asking first: is that actually where it's most ready?...

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....