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Weekly Review 31 July 2026

ai, AI (Artificial Intelligence), Artificial Intelligence, Bluesky, Mastodon, Newsmast, Threads, Twitter, weekly review, X

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):Many of the jobs once thought to be safe from replacement by AI are not so safe after all: https://www.computerworld.com/article/4198977/oecd-physical-labor-isnt-immune-from-ai-disruptions.html OpenAI is launching a web service to make it easier for businesses to deploy AI agents: https://www.theregister.com/ai-and-ml/2026/07/22/openai-tries-the-consulting-path-with-presence-charging-enterprises-boots-on-the-ground-prices-to-deploy-agents/5275867 How CIO can tell […]

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Tiny reef fish thrived near seabird islands; where rats wiped birds out, marine food chains changed

ai, AI (Artificial Intelligence), Artificial Intelligence

Tropical islands are facing a surprising ecological shift as invasive rats disrupt the balance of coral reef ecosystems. By decimating seabird numbers, these rats cut down on essential nutrient contributions to the reefs. As a result, tiny cryptobenthic fish flourish in nutrient-rich spots, while invertebrates find success in less fertile regions, reshaping the food web

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Building a Policy-Governed Multi-Agent Financial Research Workflow with Omnigent

agentic ai, ai, AI (Artificial Intelligence), Artificial Intelligence, Editors Pick, Machine Learning, Staff, Technology, Tutorials, Uncategorized

In this tutorial, we build and execute a multi-agent workflow with Omnigent using a reliable, isolated Python environment created with uv. We configure a financial research lead agent that retrieves a live USD-to-EUR exchange rate from an external API, prepares a concise client-ready summary, and delegates its draft to a dedicated text-auditing sub-agent for clarity

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