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Amazon SES can now switch open and click tracking per email request

The new request-level controls make email measurement a per-send decision: an application can keep one SES configuration set while disabling open or click tracking for recipients who should not be measured. The override wins over the configuration-set default and adds no separate feature charge.

Supabase fixes broken client trace propagation and now preserves trace IDs even for unsampled requests

supabase-js 2.112.3 materially improves the tracing rollout BTN covered earlier: unsampled requests now still carry traceparent for backend log correlation, tracing misconfiguration produces warnings, and browser Edge Function calls need current CORS headers to admit W3C trace context.

Railway makes MySQL automatic failover generally available with Group Replication and HAProxy

Railway’s managed MySQL path can now gain automatic failover without rebuilding the database elsewhere. The trade-off is real operational complexity: conversion briefly drops connections, hard-coded URLs need manual repair, replicas are for failover rather than read scaling, and each extra database/proxy node consumes billable resources.

LinkedIn Ads API adds a 1,000-segment audience cap as Legacy Geo shuts down August 31

Audience-management systems can now fail with `SEGMENT_LIMIT_EXCEEDED`, while old geography identifiers begin returning invalid-field errors after August 31. LinkedIn also opened the Matched Audiences API to applications from qualified developers, increasing the importance of handling these limits correctly.

Google DeepMind is piloting double-blind frontier-model evaluations with confidential computing

The pilot attacks a persistent evaluation trade-off: labs do not want to reveal frontier-model internals, while evaluators do not want benchmark prompts leaking back to the model provider. DeepMind says a Singapore AI Safety Institute pilot kept both sides’ sensitive assets hidden during execution.

Anthropic’s Model Hardware Standard gives AI agents a shared interface for physical devices

MHS is an attempt to make microscopes, liquid handlers, robotic arms and other programmable hardware look like a consistent tool surface to AI agents. It is still a research preview, but the interoperability layer is already being tested with research institutions and hardware vendors.

AWS Security Agent can now hard-cap autonomous pentest spend and revalidate individual fixes

AWS’s agentic pentesting service can run multiple security tasks in parallel, so billable task-hours may exceed wall-clock test duration. New per-run task-hour limits stop a test gracefully at the ceiling and preserve findings, while targeted revalidation checks specific fixes without rerunning the entire pentest.

Supabase makes MCP access centrally governed through enterprise SSO

Supabase has implemented MCP Enterprise-Managed Authorization using identity-provider assertions, short-lived tokens and existing Supabase role boundaries. It gives organizations a central on/off switch for approved AI clients while keeping access scoped to the individual employee rather than sharing a powerful organization token.

Google is adding hard spend caps and commitment pricing for AI agent workloads

Google’s new agent FinOps model combines hard monthly spend caps that pause agent API calls, Flexible Savings Plans with one- or three-year commitments, pay-as-you-go Gemini Enterprise usage and planned deferred execution at up to half normal inference cost. The controls are useful, but commitment economics and task eligibility need to be modeled carefully.