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Agents2026-06-19 · source-backed
A new paper on "Contagion Networks" (arXiv:2606.20493) shows that when LLMs serve as evaluators inside multi-agent systems, their systematic biases propagate through the network rather than staying local. A single biased judge can contaminate downstream agent decisions. If you run LLM-as-judge pipelines or agent self-improvement loops, this argues for diversifying or auditing your evaluator agents, because one bad judge poisons everything it touches.
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After 20+ years maintaining Paint.NET, Rick Brewster concluded WINE's Direct2D would never be complete enough for what he needed, so the app now carries its own from-scratch reverse-engineered Direct2D implementation. He puts it at 180,000 lines against 700,000 for the rest of...
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Satya Nadella said companies routing everything through a single proprietary lab may not survive. His argument: you hand that lab your most sensitive business context, and the lab can turn it against you as a competitor. His prescription is an orchestration layer — keep the ha...
His conclusion is DuckDB matches or beats SQLite's safety for untrusted queries, but only with enable_external_access=false, lock_configuration=true, and a watchdog thread, since DuckDB lacks SQLite's opcode-based query timeouts. He ships a safe_duckdb.py helper and a Datasett...
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