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Guide to reproduce the Neutrality Project Release 01: run 18 models on six political axes, record per-axis means, refusal rates, and 95% confidence intervals.
ScarfBench is an open benchmark for assessing AI agents on Enterprise Java migrations (Spring, Jakarta EE, Quarkus), measuring behavior preservation, build success, and runtime safety.
Build a repeatable harness that records agents' plan steps, API calls, retries, tokens, wall time and cost to reveal friction points in your library and guide rollout decisions.
Reproducible tutorial to run ITBench‑AA's SRE tasks and emit audit‑ready JSON reports (accuracy, avg_turns, false_positive_rate, task_count). Frontier models scored below 50%.
Guide to albedan/ai-ml-gpu-bench: clone a small harness to time Python ML training and local LLM inference on CPU vs GPU and export metrics to compare latency and cost.
Guides running VAKRA's runnable benchmark—8,000+ local APIs across 62 domains—to record full execution traces, reproduce common multi‑step agent failures, and guide focused fixes.
Reproducible tutorial to build an APEX-Agents-style test harness measuring AI agents' ability to stitch context across Slack and Google Drive. Includes configs, logs and rollout gates.
Kaggle’s Game Arena adds Poker and Werewolf, broadening benchmarks to partial-observability and social-deduction. Read a compact checklist and rollout gate guidance for teams.
Ars Technica compares default non‑subscriber models — ChatGPT 5.2 vs Gemini 3.2 Fast — using complex prompts. Read on for test takeaways and how Apple’s Gemini choice affects Siri.