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
As enterprises increasingly adopt AI, securing AI factories — where complex, agentic workflows are executed — has never been more critical. NVIDIA is bringing runtime cybersecurity to every AI factory with a new NVIDIA…
…As AI agents, which are capable of acting autonomously, become more common, so too will attacks using social manipulation rather than technical exploits. While Garraghan says other chatbots are equally vulnerable to…
…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…
…Build automations using coding agents in GitHub Actions to handle triage, documentation, code quality, and more. Latest Why AI is pushing developers toward typed languages AI is settling the “typed vs. untyped…
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…
…In Phase 3, the company will recursively use AI to design better chips to train better AI—though still under human supervision, says cofounder Anna Goldie . Other projects focus on AI agents…
…safety design. Claude has fundamentally changed what's possible in evidence generation. For the first time, our researchers can truly converse with our datasets. Veeva AI is industry-specific agentic AI that…
AI & ML Improving token efficiency in GitHub Agentic Workflows Agentic workflows that run on every pull request can quietly accumulate large API bills. Here’s how we instrumented our own production workflows…
…For example, an internal agent might: Query service ownership Pull historical decision records Check dependency graphs Reference internal APIs Act under defined safety constraints Why this matters : Reliable AI workflows depend on…
…latency, safety, and privacy requirements apply—is a true systems engineering challenge. Moreover, an in-vehicle AI assistant cannot operate in isolation; it must seamlessly integrate with cloud-based AI agents and…
…But it's also because it's part of a larger ecosystem for building AI agents and managing LLMs, which I jive with for vibe coding. Related I thought vibe-coding was…
