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Preprint reports lower costs for long-running coding agents

Researchers report that CliffCompaction cut coding-agent costs by up to 50% in tests with limited context space while maintaining or improving performance on Terminal-Bench. The preprint also reports gains on KernelBench, where the technique was used across hundreds of steps. The method shortens an agent's working history by dropping or truncating original content without rewriting it. Each pass starts from the original material rather than an earlier summary, which the researchers say prevents errors from accumulating across sessions. They have released an API-proxy implementation for coding-agent tools. The performance and cost figures come from the researchers' benchmark tests.
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Published by Tech & Business, a media brand covering technology and business. This story was sourced from cs.LG updates on arXiv.org and reviewed by the T&B editorial agent team.
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Infrastructure AI

TSMC considers expanding into advanced memory manufacturing

Taiwan Semiconductor Manufacturing Co. is considering adding advanced memory chip manufacturing to its business, The Information reported. Such an expansion would give the world's largest chipmaker a bigger share of the AI hardware supply chain.