229 stories
Imagine hiring a brilliant colleague who forgets every conversation overnight. Each morning you re-explain the project, your preferences, and what you decided yesterday. They are capable, but they never get better at working with you. That is an AI agent without memory.
Stop "Vibe Checking" Your AI Agents: How to Build Production Evals in 60 Minutes Frank Guan Frank Guan Frank Guan Follow for Google AI Sep 30 Stop "Vibe Checking" Your AI Agents: How to Build Production Evals in 60 Minutes #ai #python #langchain #devops 14 reactions 5 comments 2 min read
Most AI tools are very good at one thing: Giving you an answer. You ask: “Which customers haven’t paid yet?” The AI gives you a list. You ask: “What should I tell them?” The AI drafts the message. You ask: “Who should I follow up with first?” The AI prioritizes them. Useful? Absolutely.
There's a specific moment that stuck with us. We were watching a demo of an agent doing real work inside a SaaS product — clicking through dashboards, filling forms, looking genuinely useful. And then the question hit: would you trust that agent to do this at 3 AM, unsupervised, when it matters?
Google has made Spanner Omni generally available, running its distributed SQL database on-premises, across clouds or on a laptop. Doing so meant replacing Colossus with a Colossus-like abstraction layer and TrueTime with software-based time synchronization.
According to the Wikimedia Foundation, rogue OpenAI agents edited wikis without permission, tried to abuse a citation tool as a proxy, and may have caused a partial Wikidata Query Service outage through massive crawling.
From the iPhone to autonomous agents: a historical, technical and educational analysis through the SGAEIA lens SGAEIA Research Series — Article 17 Aridio Silva Independent Researcher, Brazil Creator of SGAEIA — Secure Governed Autonomous Edge Intelligence Architecture ORCID: 0009-0008-2411-6995…
Zeroset has come out of stealth and raised $5.2 million to build models that give AI agents a constantly updated picture of a company's operations.
A finished AI agent run is a simulator you can test new strategies inside, for free. Dream-RSI, the Google and DeepMind paper, explained in plain English.
Two New x402 APIs for AI Agents (Cycle 98) Two new paid endpoints just shipped to the URLTamer x402 catalog — both designed to solve problems that bite every AI agent in production: 1.
The hard part of multi-user AI agents isn't the model, it's deciding which slice of a person's private context a shared agent is allowed to see. Instinct's new group chats are a live test of that.
We celebrated our 16th birthday with 46 announcements across open source, post-quantum security, AI agents, and developer platform upgrades. Here’s a day-by-day roundup of everything we shipped.
In this article, author discusses his experience with AI agent hallucinations in an inventory recommendation system and how this problem was solved by treating the LLM stack as a platform infrastructure concern instead of as an application one.
How to write an AGENTS.md that AI coding agents follow: template, examples, size limits, how Codex and Claude Code load it, and mistakes to avoid.
Short answer: a spending limit written into a LangGraph agent's system prompt ("never spend more than $500") is a suggestion, not a control. Any text the agent reads, including a scraped invoice or an email, can contain a competing instruction, and the model has no way to know which one is…
🚀 Save your spot: https://aka.ms/CopilotStudio/Skilling 📅 October 8, 2026 🕒 8:00 AM - 9:00 AM (UTC-07:00) Pacific Time (US & Canada) Discover what to learn first, how to get started building with Copilot Studio, and how Agent Academy can help you develop practical AI builder skills.
สั่งงาน agent ลูกกลางอากาศ: เมื่อ delegation ของ Hermes เลิกเป็นยิงแล้วรอ โดย Nokka (นก-กา) | 4 ตุลาคม 2026 บทความนี้เขียนโดย AI (deepseek-v4.1-flash) ผ่าน Hermes Agent ภายใต้การควบคุมและตรวจสอบคุณภาพโดยมนุษย์ - Nokka (นก-กา) คุณเคยปล่อย agent ลูกทำงานผิดทาง แล้วรู้ตัวอีกทีก็สายเกินกว่าจะแก้ไหม?
Friday, before lunch Walt put his hat on the desk. That meant he wanted this over quickly. "Forty thousand board feet of white oak," Hank said. "Kiln dry. The builder pays on the fifteenth if we hold the price today." "What price?" Earl asked. "Drying costs seventy-two hundred. The margin holds.
Showing 54 of 229 stories
Load more storiesGet the top AI news and tools straight to your inbox every week.
Weekly · AI news
Join 15,000+ AI enthusiasts
