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dial481

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[untitled]

1 points·by dial481·13 dagen geleden·0 comments

Show HN: Allelix – Annotate your DNA against 7 public databases offline

github.com
3 points·by dial481·28 dagen geleden·0 comments

[untitled]

1 points·by dial481·3 maanden geleden·0 comments

Show HN: Proposal for a real long-term AI memory benchmark

penfieldlabs.substack.com
4 points·by dial481·3 maanden geleden·0 comments

Milla Jovovich's MemPalace Claims 100% on LoCoMo. Its Benchmarks.md Disagrees

penfieldlabs.substack.com
4 points·by dial481·3 maanden geleden·0 comments

LoCoMo AI Benchmark: 6.4% of answer key wrong, judge accepts 63% of fake answers

github.com
3 points·by dial481·4 maanden geleden·3 comments

comments

dial481
·27 dagen geleden·discuss
This is badly needed. Jira is horrendous.

Can your plugin system support custom workflow triggers yet?
dial481
·28 dagen geleden·discuss
[flagged]
dial481
·28 dagen geleden·discuss
[flagged]
dial481
·3 maanden geleden·discuss
MemPalace's benchmark claims have been picked apart and debunked in the project's GitHub issues:

github.com/milla-jovovich/mempalace/issues/27 github.com/milla-jovovich/mempalace/issues/29 github.com/milla-jovovich/mempalace/issues/39 github.com/milla-jovovich/mempalace/issues/125 github.com/milla-jovovich/mempalace/issues/242

(and others)

TL;DR: When independent third parties ran actual end-to-end QA instead of retrieval metrics, the scores dropped dramatically.
dial481
·4 maanden geleden·discuss
That's encouraging to hear from someone with IR experience, thanks. Agree completely.
dial481
·4 maanden geleden·discuss
We audited the LoCoMo benchmark (one of the most cited eval for LLM agent memory) and found 99 score-corrupting errors in 1,540 questions (6.4%). Separately, we tested the LLM judge with adversarially generated wrong answers, it accepted 62.81% of vague-but-topical wrong answers. Some published system scores barely clear that bar. Full audit with methodology, all 99 errors documented, and reproducible scripts.