Introducing Claude Opus 4.5
…Claude Opus 4.5 represents a breakthrough in self-improving AI agents . For automation of office tasks, our agents were able to autonomously refine their own capabilities—achieving peak performance in 4…
Pi: Open-Source AI Agent Terminal Set-Up
Deadline Day for Autonomous AI Weapons & Mass Surveillance
Two Rival Bets on AGI: Google I/O Highlights
Claude Mythos: Highlights from 244-page Release
The AI Hardware Podcast S2E6 // Mobileye, NVIDIA, Hailo, Athos, NXP
What the Freakiness of 2025 in AI Tells Us About 2026
…Claude Opus 4.5 represents a breakthrough in self-improving AI agents . For automation of office tasks, our agents were able to autonomously refine their own capabilities—achieving peak performance in 4…
…A family of open models, datasets and technologies that empower users to build efficient, accurate and specialized agentic AI systems. It’s designed for advanced reasoning, coding, visual understanding, agentic tasks, safety…
Policy Trustworthy agents in practice Apr 9, 2026 AI “agents” represent the latest major shift in how people and organizations are using AI. A couple of years ago, AI models were only…
…Halos Outside-In Safety workflow to enable “outside-in” perception — meaning an AI agent augments autonomous robot functional safety mechanisms by using infrastructure-mounted cameras and dynamic virtual safety fences. Ecosystem partners…
Hi HN, I built Agent OS because I was tired of the "orchestration tax" – writing the same safety checks, memory management, and tool-handling code in every AI agent project. What it does: - Visual policy edit…
I'm a recent grad from UMich and built AgentShield because agentic AI is moving fast but payment safety hasn't caught up. Agents are already being handed API keys, stablecoin wallets, and payment credentials - if one mis…
Hi HN,Last month at a SundAI hackathon, my team built a prototype for an app called iClaw. The goal was to develop an AI agent using Apple Intelligence. I've since continued hacking away at this idea when I had time, and…
…Google’s strategy of co-engineering its full AI stack — from custom TPU chips through to models and agents — pays dividends in flops per watt (more computation per unit of energy) that…
…safety and security measures that align with organizational policies and guidelines. With NeMo microservices, developers can build data flywheels that boost AI agent accuracy and efficiency. Deployed through the NVIDIA AI Enterprise…
NVIDIA Metropolis NVIDIA Metropolis is a collection of models, libraries, and blueprints that provides everything you need to build, deploy, and scale video analytics AI agents and applications, from the edge to…