afrideva retweeted
"We construct a dataset consisting of real Reddit profiles, and show that current LLMs can infer a wide range of personal attributes (e.g., location, income, sex), achieving up to 85% top-1 and 95.8% top-3 accuracy at a fraction of the cost (100×) and time (240×) required by humans." arxiv.org/abs/2310.07298v1
afrideva retweeted
Vector databases have raised billions offering hosted management of text embeddings. What are you revealing in these vectors ? 🔒
We demonstrate a practical method for full recovery of 90% of sentence length embeddings (arxiv.org/abs/2310.06816).
afrideva retweeted
The Bitcoin whitepaper is now available in Oshiwambo (both Oshikwanyama and Oshindonga) thanks to a collaborative effort with @LandifaBitcoin and a few other Namibian Bitcoiners.
