What makes this AI memory benchmark different?

1-2M tokens, real multi-month convos, standardized tracks, full disclosure. Tests retrieval, not context bloat.

Will this replace flaky benchmarks like LoCoMo?

If adopted, yeah. Audits prove old ones unreliable—errors, bad judges, noise.

How can I contribute to the proposal?

Hit the full write-up link. Feedback, corpus help, critiques welcome from builders and researchers. Full spec, LoCoMo audit public. Let's build honest measurement.

🤖 AI Dev Tools

This Proposal Exposes AI Memory Benchmarks as Total BS

AI memory systems brag big numbers on benchmarks that crumble under scrutiny. One proposal calls bullshit—and lays out a real test.

theAIcatchup Apr 10, 2026 3 min read

Illustration of a rigorous benchmark testing AI long-term memory over months of conversations

⚡ Key Takeaways

Current AI memory benchmarks like LoCoMo fail hard: wrong answers, bad judges, noise. 𝕏
Proposal demands 1-2M token tests on real 6-month convos with strict tracks and disclosure. 𝕏
Unique scorecard exposes latency, cost, abstention—beyond raw accuracy. 𝕏

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theAIcatchup

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#AI Evaluation #AI memory benchmark #AI memory systems #LoCoMo audit #benchmarks #long-term memory

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Originally reported by dev.to

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