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Anthropic Accidentally Releases Source Code for Claude AI Agent - bloomberg.com
<a href="https://news.google.com/rss/articles/CBMitAFBVV95cUxPLTV5aUhmeWRZSTZkeEszZ1VDOTNZa0MxRV96RWs2MGNxcDUweVZ5YjZpek10NlZPX2hLeTIyYVpwZVlobktLM2FxdEx3ZXhaY0RVMnRKX0h2SzNGM0NESHhra0s5SlhHWXRwUURuMTdXUWFUX3Nhd0R1NWZSRXJHNlBGZ0gyUldhZURibzl2THlVUHRZLUZoSXh3Y1RuM2JTcnNzWnkzV1Rpd0dJTEVvMkJMR1M?oc=5" target="_blank">Anthropic Accidentally Releases Source Code for Claude AI Agent</a> <font color="#6f6f6f">bloomberg.com</font>
Orange Lion Sports Ushers in Sports Industry's "Agent Era" with Debut of AI Event Operations Assistant - The Korea Herald
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Dutch-based Nebius buys Israeli startup that connects AI agents to the web - The Times of Israel
<a href="https://news.google.com/rss/articles/CBMiqAFBVV95cUxQbGdfVEVOd0FWM29rdWJUQ0ZQYmNnaGg5TkhTTDJMSlJsSEpzVVoyanhRWlJmc3ktTnZCVzNxTTdPZ1BFb2h2c28wR2tPVno5bWRxMHhpTHRwRF8xMjVGZkxCTGhFNFU0b210S0VnWkd2Z2s1dmxyOWlycWMtb3p4V2MwMmpSU3lPLW8tbGZyVHJHT216aXh5QWVza3ZQQ3gzTkF4Qk5LTnLSAa4BQVVfeXFMUG16OC1xV3BvNDVKajJkXzBSTlJNNVpSSmlJYnMwa0RiZ3lBSFhZbjYwcVhCd2RuTmtEdjh5LUI3bnFzQ0p6TERnUmRsWVo4Q3Niei1KckJyNGVFWTM5VVBzNFhOOTVvOWx0cmMyTUtLSEtOUFNHdjFZQ0dlZ1Q1TXNQaVlqLTRQYjFOeElneE9WNFV1akdLcjVXZmk5bDdaRnhrVVBVREE4QWc4UTh3?oc=5" target="_blank">Dutch-based Nebius buys Israeli startup that connects AI agents to the web</a> <font color="#6f6f6f">The Times of Israel</font>
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South Korea forms agentic AI alliance to shape ecosystem - Tech in Asia
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Israel Deploys AI Agents Across Multiple Fronts - Asharq Al-Awsat | Explore World News Today
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Science Ministry Launches Agentic AI Consultative Body With LG, Kakao - Let's Data Science
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How and Why Agents Can Identify Bug-Introducing Commits
arXiv:2603.29378v1 Announce Type: new Abstract: \'Sliwerski, Zimmermann, and Zeller (SZZ) just won the 2026 ACM SIGSOFT Impact Award for asking: When do changes induce fixes? Their paper from 2005 served as the foundation for a wide array of approaches aimed at identifying bug-introducing changes (or commits) from fix commits in software repositories. But even after two decades of progress, the best-performing approach from 2025 yields a modest increase of 10 percentage points in F1-score on the most popular Linux kernel dataset. In this paper, we uncover how and why LLM-based agents can substantially advance the state-of-the-art in identifying bug-introducing commits from fix commits. We propose a simple agentic workflow based on searching a set of candidate commits and find that it raise
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