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What Is Loop Engineering? Building Better AI Agents
IBM Technology
IBM Technology's video explores the concept of "loop engineering," a methodology for designing and improving AI agents by structuring their decision-making processes into iterative feedback loops. The approach focuses on how agents perceive inputs, reason through problems, take actions, and evaluate outcomes in a continuous cycle. The video likely covers best practices for building more reliable, efficient, and capable AI agents using this framework.
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Who Authorised That? Shadow AI in the Age of Autonomous Agents - A webinar by KuppingerColexINCYBER
INCYBER
Shadow AI in the Age of Autonomous Agents is a webinar hosted by KuppingerCole in partnership with INCYBER, focusing on the growing security and governance challenges posed by unsanctioned AI tools and autonomous agents within organizations. The session likely examines how employees and departments adopt AI solutions without IT or security approval—mirroring the earlier "shadow IT" phenomenon—and the unique risks this creates around data exposure, compliance, and access control. The discussion addresses how organizations can establish proper authorization frameworks and identity governance strategies to manage AI agents operating with varying degrees of autonomy.
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Smarter Models Killed the Harness. Here's What's Left — Jediah Katz, SpaceXAI
AI Engineer
Based on the title alone: This talk by Jediah Katz from SpaceX AI discusses how increasingly capable AI models have rendered traditional evaluation harnesses obsolete or insufficient. The presentation explores what remains of the evaluation and testing infrastructure when smarter models outgrow conventional benchmarking frameworks, likely proposing new approaches to AI assessment in high-stakes engineering environments.
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Claude Code + Base44 = $10,000 AI Agents
Jake One Page
Claude Code and Base44 are combined to build AI agents capable of generating significant revenue, with the video's title suggesting a potential $10,000 earning opportunity. Without a transcript, the specific methods, workflows, or tools demonstrated in the video cannot be detailed accurately.
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