$ONDS
Trending UpSnapshot Window: 2026-10-04 00:10 UTC · ← Back to Crypto Overview
Social Momentum Summary
Total Engagement - Comments: 0, Retweets: 1, Likes: 6, Impressions: 306
Verbatim Community Citations & Social Evidence 1 source posts analyzed
Doing a bit of a self-experiment. Goal: use my personal health and travel data to provide personalized diet and exercise recommendations for me, using frontier models but in a way that avoids leaking to them any private information. Strategy: use a local model (Qwen 3.8 Flash
AI visual note: The image shows a screenshot of a person's internal reasoning notes in dark mode, where they are carefully strategizing how to submit multiple queries to AI models without revealing that they come from the same person. The redacted portions (in red) appear to hide specific identifying terms or account names. The text discusses concerns about "linkable" requests, mentions a "prepaid account," references a "brand-new network identity for every call," and considers whether combining requests would reveal too much personal information. The notes show the person deciding to split their queries into 3 separate requests, use generic "textbook question" phrasing, and avoid including exact lab values—instead using "ranges/rounded generic phrasing" to protect their privacy. This relates to the accompanying post about a self-experiment aimed at getting personalized diet and exercise recommendations from frontier AI models while preventing the leakage of private personal health and travel data.