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The industry hype says "more agents is all you need," but new data shows that strictly sequential tasks and tool-heavy integrations fail at scale.
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Researchers introduce BATS and Budget Tracker, two new methods that help agents prioritize high-value actions, cutting API costs by over 30% while boosting accuracy.
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GLM version 4.7 lifts software engineering accuracy from 68% to 73.8%, helping you ship cleaner code and UI faster. Terminal Bench rises from 24.5% to 41%, giving teams steadier ...
Tired of lost tape measures, dead batteries, and tool failures mid-project? See which tools are worth keeping in pairs for ...
Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source ...
China’s new coding AI beats GPT-5.1 and Claude 4.5, with 128,000-token context helping you solve tougher repos faster and cut ...
In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
Explore the top OSINT tools and software platforms for 2026. Improve your data gathering and verification methods effectively ...
AI assistants in 2026 become default OS features, offering predictive, context-aware support across devices securely and ...