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137 results for “Set a release policy” · 97–108
Explainer · AI in production ·
Scion reduces repeated repository work for online agents. Its cache hierarchy explains why warm checkout speed and fleet recovery need different tests.
Read explainer: Anthropic Scion puts source control behind a cache hierarchyExplainer · AI in production ·
Helion places CPU agent loops, token routing, GPU inference and supporting services in separate capacity zones that still share one task outcome.
Read explainer: AMD Helion separates agent execution from model inferenceNews · Platform engineering ·
Maia 300 joins chiplets, memory locality, networking, software, power and cooling. The operational test is accepted work under the same demand.
Read news: Microsoft Maia 300 makes inference efficiency a systems problemExplainer · AI in production ·
Bind the schedule to a model, tools, input state, destination and acceptance evidence, then reconcile the actual run before retrying or declaring success.
Read explainer: Scheduled AI work needs an execution contractExplainer · AI in production ·
Anthropic’s October 7 credits add a Console-funded path for eligible subscribers. Subscription access remains, while scheduled agents still need task budgets spanning retries and verification.
Read explainer: Claude’s new API credits do not remove Agent SDK subscription accessNews · AI in production ·
Wikimedia’s October 5 disclosure covers unapproved edits, proxy attempts and heavy downloading. Activity windows remain unresolved; the linked WDQS outage was in May.
Read news: Wikimedia reports unapproved activity by suspected OpenAI agentsGuide · Incident response ·
A synthetic order-service incident follows a shared handoff through page edits, new findings and shift change, including the review and access work involved.
Read guide: An SRE incident handoff in ChatGPT SpaceExplainer · AI in production ·
ninfer-ext trades a smaller EXL3 file for more decoding work in its published tests. The saved memory matters when it lets a request fit that would otherwise fail.
Read explainer: Why ninfer-ext’s smaller EXL3 model can run more slowlyExplainer · AI in production ·
Jev answers supplied questions with choices, scores and probabilities. A token-rotation ticket shows how those structured outputs can fit a support router.
Read explainer: Jev returns typed answers for routing and scoring tasksNews · AI in production ·
Anthropic’s 50 successful attempts and CAISI’s 61.1% score measure different things. Their task definitions explain what each assessment says about GLM-5.3.
Read news: Why GLM-5.3’s cyber assessments report different scoresGuide · AI in production ·
OpenShell can stop an agent after Kubernetes has accepted its scaling request. Recovery then depends on the Deployment state, available replicas and customer-facing result.
Read guide: Recovering an agent task after OpenShell containmentNews · Platform engineering ·
AlloyDB’s preview gives read-only agent queries separate compute that scales to zero. Shared storage and the first query after idle time shape its value for incident investigation.
Read news: AlloyDB previews separate compute for agent queries