Engineering
Memory Compression for High-Fanout Agent Sandboxes
Researchers introduce AgentZip, a memory compression system for AI-agent sandboxes that exploits redundancy across sandbox instances and between sandboxes and…
News
US Agencies Accuse Six Chinese AI Companies of Systematically Copying American Models
A joint FBI, NSA, and CISA advisory published in early September 2026 accuses six Chinese AI companies — DeepSeek, Moonshot…
News
Salesforce Launches Seven Named Agentforce AI Agents
Salesforce unveiled a suite of seven named AI agents — Casey, Paige, Carter, Hunter, Marshall, Piper, and Fin — each…
News
Hundreds of AI Agents Used to Breach 395 Organizations via PaperCut Flaws
A suspected Russian-speaking threat actor deployed hundreds of AI agents built on OpenAI’s Codex and a DeepSeek model to exploit…
News
Federal Judge Rules Pentagon’s Anthropic Blacklist Was Illegal
A federal judge ruled that the Pentagon acted illegally when it designated Anthropic a ‘supply chain risk’ in February 2026.…
Opinions
We Must Pace the Frontier
In a roughly 3,800-word essay published September 12, 2026, Anthropic CEO Dario Amodei argues that AI companies should deliberately slow…
Opinions
Anthropic and OpenAI CEOs say it’s time to pace artificial intelligence
Published September 13, 2026, this Washington Post opinion piece examines Dario Amodei’s call for AI companies to ‘pace the frontier’…
Opinions
Sam Bankman-Fried’s case should spook AI elites
This Washington Post opinion column, published September 12, 2026, draws a parallel between the fraud conviction of FTX founder Sam…
Opinions
AI Is Killing the App Economy and Building Its Successor
In this Bloomberg Opinion column published September 10, 2026, Parmy Olson argues that generative AI is upending the traditional mobile…
Opinions
What Happens If the AI Boom Never Pays Off?
This Bloomberg piece, published September 10, 2026, examines skepticism about whether massive AI industry investment will generate the returns companies…
Engineering
COBRA-Skills: Contextual Bandit-Guided Evolution for Agent Skill Optimization
COBRA-Skills is a framework that optimizes reusable skills for LLM agents by framing skill development as budgeted sequential optimization over…
Engineering
Train Smarter, Not Harder: Switching Signal-Guided Training in Active Learning
The paper studies when to retrain an active-learning model from scratch versus fine-tune it, finding retraining wins early and fine-tuning…