2 sources filed · EN 1 · RU 1
Benchmark: 1,000 identities built from pseudopeople synthetic records with added noise, half single people and half over-merges.
99.0% at $3.86Claude Opus 5.5 accuracy and cost per 1,000 identities in grading identity-resolution results
12 hard tasks taken from open benchmarks, mostly hard ML/SWE, chosen as closest to the author's own work; about 7 model setups were run.
81%, $1.20score and cost per task for Opus working alone
3 sources filed · EN 3
Standard haul: browser passwords, cookies, payment cards, wallet seed phrases, Discord, Telegram, Steam and Roblox sessions, Microsoft OAuth tokens, SSH and cloud keys, every saved Wi-Fi password, screenshots.
Three effort modes (standard, high, max) and three patterns: Single (one model), Cascade (cheaper model first, escalate if needed) and Critique (one model drafts, another reviews, the first revises).
$5.59average cost per task for Fusion Max on Artificial Analysis's Coding Agent Index
Evidence base: 4,165 coding-agent gateway turns, 623 debug jobs and three delegation studies scored by hidden behavioural checks.
15/15 vs 12/15 and 14/15verified passes for direct frontier coding against two delegation setups using a quantized Qwen3-Coder 30B-A3B worker
1 source filed · EN 1
Held-out results (63 attempts per arm): no controller 73.0% pass at $0.177 per attempt; rules 73.0% at $0.191; small LLM 76.2% at $0.213; Jev 73.0% at $0.206.
19%higher cost per attempt when the Jev decision model controlled the agent (ratio 1.19, 95% CI 1.02-1.36)
1 source filed · ZH 1
WorkSpace isolation: each project gets its own file system, memory and skills, so contexts do not leak between projects.
70.6 at $3.15score and cost on seven long tasks with Sonnet 4.6 planning and MiniMax-M2.7 executing