AI & ML

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Build an AI Context Sensitivity Test Harness in Python

TL;DR An AI context-sensitivity test harness should vary presentation without silently changing the task, evidence, or policy. This tutorial builds a provider-neutral Python workflow with three policy cases, equivalent prompts, evidence-order variations, and independent grading checks. Validate the harness with a passing fixture and a deliberately defective fixture before connecting an application. Preserve failed attempts, […]

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AI Context Sensitivity: Same Evidence, Different Decisions

TL;DR AI context sensitivity becomes an operational problem when irrelevant presentation changes alter a decision that should remain stable. But conflicting answers can also reflect different tasks, missing evidence, changed execution settings, or a grader that misreads a valid response. Define the decision before comparing answers. Preserve the evidence and policy, inspect what actually reached

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World leaders gather at UN amid wars, AI fears and global divisions

World leaders are gathering at the United Nations this week against a backdrop of wars in the Middle East and Ukraine, rising fears over artificial intelligence and mounting economic and climate pressures. The annual General Assembly will test whether the 193-member body can still bring countries together to tackle crises that increasingly transcend borders.

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Muse, Meta’s extraordinarily privileged AI assistant, has a serious 0-day

Meta founder and CEO Mark Zuckerberg has gone to great lengths to hype the security of its new AI assistant Muse, claiming it is “built from the ground up for privacy and security.” A zero-day vulnerability that gives locally run apps and terminal commands complete control of the agent raises serious doubts. Further raising questions,

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