DalasNoin 706 karma 9y 5m on HN HN profile →
I am Simon, an AI security researcher

https://www.linkedin.com/in/simon-l772743a7/

Coverage
We've seen 2 of an unknown number of submissions
Full eval: 1 Lite-only: 1 Unevaluated: 0
Deep Read section-level analysis · 1 full evaluation
HRCB -0.31 range 0.00 · +0% / 0% / 100%−
E-full / S -0.34 / +0.15 SETL -0.42
Signals EQ 0.58 SO 0.28 TD 0.50
UDHR Fingerprint Preamble: -0.35 Article 1: -0.40 Article 2: -0.45 Article 3: -0.35 Article 4: ND Article 5: ND Article 6: ND Article 7: -0.40 Article 8: ND Article 9: -0.55 Article 10: -0.30 Article 11: -0.35 Article 12: -0.60 Article 13: -0.25 Article 14: -0.30 Article 15: ND Article 16: -0.25 Article 17: -0.45 Article 18: -0.35 Article 19: -0.09 Article 20: -0.30 Article 21: -0.25 Article 22: ND Article 23: -0.20 Article 24: ND Article 25: -0.20 Article 26: -0.15 Article 27: +0.09 Article 28: -0.40 Article 29: -0.35 Article 30: -0.30
Quick Scan holistic editorial estimate · 1 lite evaluation
Editorial [E]: +0.50 Llama · truncated content · holistic (not section-level)
Lens divergence detected Quick scan (+0.50) vs full evaluation (-0.34) · Δ 0.84
The holistic Llama estimate and section-level Claude evaluation disagree by more than 0.15. The full evaluation is more reliable for individual story analysis.
2 stories
1.
HRCB -0.31
E -0.34
S +0.15
Large-Scale Online Deanonymization with LLMs (simonlermen.substack.com)
350 points by DalasNoin 5 days ago | 238 comments | hrcb v3.7 Privacy & Surveillance
2.
HRCB +0.50 L
E +0.50
Measuring the impact of AI scams on the elderly (simonlermen.substack.com)
101 points by DalasNoin 102 days ago | 42 comments | hrcb AI scam protection