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Technology worth understanding. Tools worth questioning. A few things worth stepping away for.
01 / SELECTED READING
When thousands of AI agents coordinate faster than humans can review, traditional oversight fails. Engineering teams face a critical choice between recursive AI monitors, activation probes, and deterministic network controls.
PrismML has released Bonsai 2 27B, reducing Alibaba's 27-billion-parameter Qwen model to 5.9 GB using ternary weights. The technique preserves 98% of benchmark performance, pointing toward viable local reasoning on consumer hardware.
Crusoe's $3.9 billion funding round highlights a structural shift in AI computing from centralized megasites to modular, energy-coupled factories. Here is how direct power integration and localized deployment are rewriting the economics of training and inference.
A UNICEF benchmark revealed that leading large language models achieve only 21.2% accuracy on core development indicators. The United Nations and Google are deploying the UN System Data Commons over Model Context Protocol to ground AI agents in verified statistical data.
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02 / SOFTWARE NOTEBOOK
An open notebook of software to investigate.
Every listing shows its review status.
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Workflow Automation
AI Research
Frontend AI
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