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DEV Community
dev.to > nevmenandr > i-trained-a-massive-word2vec-model-on-13-billion-russian-fiction-words-heres-what-happened-3m63

🧠 I Trained a Massive Word2Vec Model on 13 Billion Russian Fiction Words — Here’s What Happened

1+ week, 8+ hour ago   (258+ words) TL;DR: I built a lemma‑based Word2Vec model (CBOW, 300d) on a huge corpus of Russian fiction (13B tokens → 7.3B after cleaning). You can load it with Gensim and explore semantic neighborhoods of words like слово, язык, речь. The model captures literary semantics…...

Alignment Science Blog
alignment.anthropic.com > 2026 > lie-detectors

Fine-Tuned Lie Detectors Failed to Generalize

3+ week, 2+ day ago   (1577+ words) Research done as part of MATS and the Anthropic Fellowship. Misalignment is hardest to correct when it's concealed: a model that pursues the wrong goals or holds false beliefs in the open gives operators something to act on. This is…...

DEV Community
dev.to > srdjan_poppovic > our-documentation-was-lying-the-model-believed-it-6n

Our Documentation Was Lying. The Model Believed It.

3+ week, 5+ day ago   (1544+ words) There is a variable called slp — sea-level pressure. Our API documentation lists it as available. Our error messages list it among the valid options. Our fine-tuned model, asked about air pressure over Belgrade, will happily write you fifteen lines of…...