Practical summary of the latest updates around Beyond the price per token: Choosing the right OpenAI model on Amazon Bedrock for your workload, with implications for engineering teams.

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Practical summary of the latest updates around Anthropic CEO says it’s time to pump the brakes on AI - The Verge, with implications for engineering teams.

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Practical summary of the latest updates around Reduce LLM latency with prefix-aware routing on Amazon SageMaker Inference, with implications for engineering teams.

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Practical summary of the latest updates around Session Traces and Cost Controls Help Diagnose AI Agent Failures - infoq.com, with implications for engineering teams.

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Practical summary of the latest updates around ICYMI: What landed for AI builders in August 2026, with implications for engineering teams.

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Practical summary of the latest updates around An alignment assessment of recent cybersecurity incidents - Anthropic, with implications for engineering teams.

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Pathway’s Baby Dragon Hatchling (BDH) is a brain-inspired, post-transformer architecture that reasons in latent space instead of emitting chain-of-thought tokens. This article explores how Pathway develops and scales BDH on Amazon SageMaker HyperPod, setting a new cost-efficiency mark on the ARC-AGI-1 benchmark.

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Practical summary of the latest updates around Announcing ADK for Kotlin 1.0: Building Production-Ready AI Agents in Kotlin, Android, and Beyond - blog.google, with implications for engineering teams.

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Practical summary of the latest updates around The Work Now Within Reach, with implications for engineering teams.

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Practical summary of the latest updates around Govern models with MLflow and Amazon SageMaker AI Model Registry sync: Part 2, with implications for engineering teams.

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