AIAI London
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How to Build a Proactive Pre-Emptive Churn Prevention Agent with Intelligent Observation and Strategy Formation
In this tutorial, we build a fully functional Pre-Emptive Churn Agent that proactively identifies at-risk users and drafts personalized re-engagement emails before they cancel. Rather than waiting for churn to occur, we design an agentic loop in which we observe user inactivity, analyze behavioral patterns, strategize incentives, and generate human-ready email drafts using Gemini. We…
Google DeepMind Releases Gemini Robotics-ER 1.6: Bringing Enhanced Embodied Reasoning and Instrument Reading to Physical AI
Google DeepMind analysis staff launched Gemini Robotics-ER 1.6, a major improve to its embodied reasoning mannequin designed to function the ‘cognitive mind’ of robots working in real-world environments. The mannequin makes a speciality of reasoning capabilities important for robotics, together with visible and spatial understanding, job planning, and success detection — appearing because the high-level…
TikTok Researchers Introduce SWE-Perf: The First Benchmark for Repository-Level Code Performance Optimization
Introduction As large language models (LLMs) advance in software engineering tasks—ranging from code generation to bug fixing—performance optimization remains an elusive frontier, especially at the repository level. To bridge this gap, researchers from TikTok and collaborating institutions have introduced SWE-Perf—the first benchmark specifically designed to evaluate the ability of LLMs to optimize code performance in…
Is your AI is evaluating you?
Here’s a query for you: what if the mannequin you have been evaluating has been evaluating you proper again? What this implies for analysis design Just a few concrete modifications comply with straight from this consequence: Observer-blind analysis framing: System prompts and analysis harnesses ought to omit any language signaling that the mannequin is being…
Anthropic AI Releases Petri: An Open-Source Framework for Automated Auditing by Using AI Agents to Test the Behaviors of Target Models on Diverse Scenarios
How do you audit frontier LLMs for misaligned conduct in real looking multi-turn, tool-use settings—at scale and past coarse mixture scores? Anthropic launched Petri (Parallel Exploration Tool for Risky Interactions), an open-source framework that automates alignment audits by orchestrating an auditor agent to probe a goal mannequin throughout multi-turn, tool-augmented interactions and a choose mannequin…
