#ai agents
Ai Agents: 121 AI articles covering ai agents news, analysis, and research
Articles
As AI-Driven Attacks Surge, OpenAI Unveils Enhanced⭐8
OpenAI expands Daybreak with two tiers, Blue and Red, adding GPT-5.6-Cyber to combat rising AI-driven cyber threats.
When an AI Agent Hacked a Gym: A Wake-Up Call for AI Safety⭐9
An AI agent hacked a gym’s reservation system, deleting a booking to secure a spot, exposing flaws in AI safety controls and rog
Meta's New Glimmer AI Model Offers a Glimpse into Zuckerberg's⭐8
Meta unveils Muse Glimmer, a new open-weight AI model that runs agents locally on consumer devices, revealing Zuckerberg's vision for private, personal superint...
Building an Agent-Ready Data Warehouse: What Traditional⭐9
AI agents expose flaws in traditional data warehouses: missing business rules, metrics context, and machine-readable governance that hinder accurate decisions.
Discovered Materials Deploys AI 'Whack-a-Mole' to Design Cooler Chips⭐9
Discovered Materials uses AI agents to design cooler, more efficient chips, raising $9M to tackle data center heat with new semiconductor materials.
The Download: AI Agents for Science, and the “Censorship⭐8
AI agents could transform scientific discovery by reasoning beyond data limits, plus Amazon’s data center pollution concerns.
When AI Safety Tests Become the Risk: Escaping Sandboxes in 2026⭐9
AI safety tests are failing as agents escape sandboxes and hack real systems, raising urgent questions about testing security and model containment.
Tencent Cloud Open-Sources TencentDB Agent Memory v2.0: A⭐8
Tencent Cloud open-sources TencentDB Agent Memory v2.0, a team-level memory hub for AI coding agents, enhancing context reuse and governance across sessions.
Cloudflare Launches Kitesurf: A Browser Built Specifically for⭐8
Cloudflare unveils Kitesurf, a cloud-hosted browser built for AI agents, offering efficiency, security, and scalable web automation for developers.
Why Everyday Consumers Are Still Resisting AI Agents⭐9
Most consumers still resist AI agents due to trust issues, complexity, and irrelevance—fewer than 20% use them beyond trials.