Book Bits: 04 April 2026

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By purchasing books through this site, you provide support for The Capital Spectator’s free content... But how simple is it for someone to quit Walmart if they are dissatisfied with their wage?To answer this question, my collaborators Suresh Naidu and Adam Reich and I surveyed about 10,000 Walmart workers in 2019 using a Facebook-based strategy, similar to the Shift Project... As we saw previou...

How AWS KMS and AWS Encryption SDK overcome symmetric encryption bounds

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If you run high-scale applications that encrypt large volumes of data, you might be concerned about tracking encryption limits and rotating keys... This post explains how AWS Key Management Service (AWS KMS) and the AWS Encryption SDK handle Advanced Encryption Standard in Galois Counter Mode’s (AES-GCM) encryption limits or bounds automatically by using derived key methods so you don’t...

Four security principles for agentic AI systems

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AWS submitted a response grounded in our experience building and operating agentic AI services... The NIST agentic AI RFI CAISI asked developers, deployers, and security researchers to weigh in on how the industry should secure AI systems that act autonomously... What unique security considerations do agentic systems introduce, and how do those considerations change as systems ...

Creating new opportunities for gameplay with Amazon GameLift Streams

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Game streaming overcomes these compromises while achieving the same distribution advantages that linear content enjoys... When developers run games in the cloud and stream video frames to players while sending controller commands back, it’s as if they’re extending a long cable between players and their virtual console... Massive edge compute, lower-cost bandwidth, reduced latency, and 5G, 6G...

Simulate realistic users to evaluate multi-turn AI agents in Strands Evals

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Evaluating single-turn agent interactions follows a pattern that most teams understand well... In a previous blog post, we covered how to build comprehensive evaluation suites for AI agents using these capabilities... The core difficulty is scale because you can’t manually conduct hundreds of multi-turn conversations every time your agent changes, and writing scripted conversation flows locks y...

Scaling seismic foundation models on AWS: Distributed training with Amazon SageMaker HyperPod and expanding context windows

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Comprehensive testing revealed DeepSpeed ZeRO-2 as the optimal framework for this configuration, delivering strong performance while efficiently managing memory: ZeRO-2 – 1,974 samples per second (implemented) FSDP2 – 1,833 samples per second ZeRO-3 – 869 samples per second This framework choice provided the foundation for achieving near-linear scaling across multiple nodes......

Control which domains your AI agents can access

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What if the agent accesses unauthorized websites? What if sensitive data is exfiltrated to external domains? Amazon Bedrock AgentCore provides managed tools that enable AI agents to interact with the web (Browser), execute code (Code Interpreter), and host agents (Runtime)... When deployed in an Amazon Virtual Private Cloud (Amazon VPC), you can control tool network access using AWS Network Fire...