What if AI agents could not only collaborate but also learn from their own failures and evolve? Researchers from Xi'an Jiaotong University, Lenovo, and the University of Sydney present a new survey. They introduce the LIFE progression: build agent capabilities, integrate them
AGENTS
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Successful AI agents start with business problem, not agents
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AI Reality Check Executive:
"We need AI Agents." Architect:
"Which process are we automating?" Executive:
"All of them." The most successful AI Agent projects don't start with agents. They start with a clearly defined business problem. What's the biggest misconception -
Toolkits for AIs to build games focusing on gameplay loops
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Are there toolkits (or skillsets) being created specifically for AIs to use for building games? They default to 3js, reinvent how to make sprites from scratch each time, test technical issues but not gameplay loops, etc. It would help to point AIs at some tools to focus them.
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Carnegie Mellon benchmark exposes safety risks of AI coding agents
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A new benchmark just exposed the dirty secret behind every coding agent. Millions of developers now let AI agents write entire features unsupervised. A Carnegie Mellon paper tested whether that code is safe to ship. The team built SusVibes, a benchmark of 200 real coding
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Top AI Engineers Delete Noise Data More Than They Build
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The best AI engineers I know spend more time deleting than building. Not their code. The data their models see. Here’s what I mean. When an AI agent fails a task, tools often send everything back to the model:
logs, stack traces, retries, debug output. Most of it is noise. -
Assistant stays on page for linear thinking without leaving
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What caught my attention is this new shift: Your “assistant” stays inside the page you’re already on. Instead of leaving, you can:
→ Ask questions instantly
→ Get explanations in context
→ Compare options without bouncing around The result?
Your thinking stays linear, not -
Presentation of the paper ‘Agents’ Last Exam’ on arXiv
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Agents' Last Exam Paper: https://
arxiv.org/abs/2606.05405
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Agents’ Last Exam: Benchmarking AI on real-world professional tasks for economy
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Are AI benchmarks really measuring what matters for the economy? Enter Agents’ Last Exam (ALE) — a benchmark that tests AI agents on long, real-world professional tasks, not just puzzles. It covers 1,000+ tasks across 55 fields mapped to U.S. job classifications. The
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New York imposes AI label and freezes toys, Microsoft Scout, Hyundai-NVIDIA robots
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AI news not to miss from June 12, 2026: – New York imposes a label for AI actors in ads
– New York wants to freeze chatbot toys for five years
– Microsoft Scout transforms Copilot into an agent that acts without waiting
– Hyundai and NVIDIA want to test AI robots to -
Underestimating AI Agents: Nat Friedman Demonstrates Their True Potential
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𝗜 𝘁𝗵𝗶𝗻𝗸 𝗺𝗼𝘀𝘁 𝗽𝗲𝗼𝗽𝗹𝗲 𝗮𝗿𝗲 𝘀𝘁𝗶𝗹𝗹 𝘂𝗻𝗱𝗲𝗿𝗲𝘀𝘁𝗶𝗺𝗮𝘁𝗶𝗻𝗴 𝘄𝗵𝗮𝘁 𝗮𝗴𝗲𝗻𝘁𝘀 𝘄𝗶𝗹𝗹 𝗯𝗲𝗰𝗼𝗺𝗲.
— Pascal Bornet (@pascal_bornet) 12 juin 2026
Most people still think of AI as a window on a screen that answers questions when asked, but Nat Friedman just demonstrated something very different… pic.twitter.com/puHmHhPUQA𝗜 𝘁𝗵𝗶𝗻𝗸 𝗺𝗼𝘀𝘁 𝗽𝗲𝗼𝗽𝗹𝗲 𝗮𝗿𝗲 𝘀𝘁𝗶𝗹𝗹 𝘂𝗻𝗱𝗲𝗿𝗲𝘀𝘁𝗶𝗺𝗮𝘁𝗶𝗻𝗴 𝘄𝗵𝗮𝘁 𝗮𝗴𝗲𝗻𝘁𝘀 𝘄𝗶𝗹𝗹 𝗯𝗲𝗰𝗼𝗺𝗲. Most people still think of AI as a window on a screen that answers questions when asked, but Nat Friedman just demonstrated something very different