Bouncer: Block "crypto", "rage politics", and more from your X feed using AI
An AI tool that filters out topics like crypto and “rage politics” from X (Twitter) feeds prompts broader debate about how to cope with toxic or low-value content on major social platforms. Some argue smarter, per-user filtering—via AI, keyword mutes, or strict follower curation—can rescue the useful parts of X, while others say the only real solution is to leave such platforms entirely. Concerns range from algorithmic amplification of outrage and bots to the risk that aggressive filtering may leave people misinformed or trapped in narrower information bubbles.
Overall value of X vs. walking away
- Many argue the healthiest solution is to quit X altogether; some say they already did and don’t miss it.
- Others stay because of strong network effects, niche communities (e.g., VTubers, anime, technical circles), and X’s role as a real‑time news source.
- Some describe curate-or-leave tradeoffs: even with a well‑tuned feed, a small amount of upsetting content can ruin the experience.
Filtering approaches: AI vs simple tools
- The project is welcomed by people who want hobby/tech-only feeds and to remove “crypto” and “rage politics.”
- Skeptics say regex, word mute lists, and curated blocklists get you “90% there” without LLM cost, latency, or privacy concerns.
- X’s built‑in mute words, keyword/emoji blocking, and “Following-only + reverse chronological” are frequently cited as effective.
- Some propose local models plus userscripts (e.g., Greasemonkey) to classify and hide content client-side, avoiding external APIs.
Risks of filtering “rage politics”
- Several worry that filtering on vague labels like “rage politics” will produce misinforming bubbles: users see reactions but not causes, or underestimate genuine public anger.
- Others say being misinformed or underexposed to outrage on X is acceptable or even desirable for mental health.
- It’s noted that social media outrage is often driven by the “terminally online,” not necessarily representative of populations.
Algorithmic feeds, curation, and addiction
- Many blame algorithmic “For You” feeds for surfacing ragebait; they prefer Following-only feeds or other platforms with simple chronological timelines.
- Some insist that if you keep seeing topics you dislike, it’s partly due to your engagement; “block, scroll past, and move on” is advocated.
- Analogies are made to addiction (e.g., smoking): people may need tools to keep using X even if quitting might be healthier.
Broader applicability and moderation debates
- Multiple commenters want similar AI-based filters for Reddit and Hacker News to hide recurring political or low‑quality topics.
- There is support for per-user filtering instead of global flagging, which currently shapes what everyone sees.
- Complaints about Reddit’s and X’s moderation, bots, and influence operations lead some to favor personal filtering over platform governance.