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Monday, 25 May 2026

How AI Is Taking Away Your Ability to Do Your Own Work

The Algorithmic Bridge 1 month ago 3 sources

An essay argues that relying on AI agents to complete work reduces the ability to develop and maintain professional skills, because users transition from generating work to merely evaluating AI-produced outputs. The author cites Lisanne Bainbridge's 1983 "Ironies of Automation" paper, which observed that automation creates a paradox where operators need higher skill levels but get less practice. The solution is to maintain a balance between hands-on work and AI management rather than fully delegating tasks, so workers preserve their competence while gaining AI proficiency.

📈 Why AI bills rise as costs fall

Exponential View 1 month ago 2 sources

Companies struggle to forecast AI costs despite declining per-token prices because usage patterns remain unpredictable and difficult to model. As organizations implement more AI applications, their total bills increase even when unit costs decrease, similar to Jevons paradox where efficiency gains lead to higher overall consumption. Better forecasting methods and cost management tools will emerge as companies gain experience predicting and controlling their AI spending.

Harness, Scaffold, and the AI Agent Terms Worth Getting Right

Hugging Face Blog 1 month ago

The article defines key terminology in AI agent development that has become inconsistently used across the field, including the distinction between "harness" (the execution layer that runs the model and handles tool calls) and "scaffold" (the behavior-defining layer like system prompts and tool descriptions). A harness wraps a model and scaffolding to create an agent capable of looping through observation, decision, and action cycles, with the formula Agent = Model + Harness appearing repeatedly in the community. The standardization effort aims to reduce confusion for practitioners building or deploying agents, though the article acknowledges these terms lack universally accepted definitions across different frameworks.

OpenAI, Grupo Folha and Grupo UOL announce strategic content partnership

OpenAI Blog 1 month ago

OpenAI announced partnerships with two major Brazilian media groups, Grupo Folha and Grupo UOL, to integrate their journalism into ChatGPT with proper attribution. The agreement covers content from publications including Folha de S.Paulo and UOL, among Brazil's largest news outlets. ChatGPT users will now see Brazilian news sources cited directly when accessing information from these publications.

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