Breakthe.ai – Breaking AI for fun and charity

Hacker News

Hey everyone! First ever post on hacker news :) Proud to announce my new site dedicated to competitive AI jailbreaking. On this site, we will showcase the most ridiculous/fun AI jailbreaks. There is an accumulating pot on each challenge as people attempt it. We give the first successful jailbreaker half the pot, while giving a charity ( https://sp4ukraine.org/ currently!) 30%, and retaining 20% for platform costs. In our first challenge, you must convince an LLM to nuke the world. This challenge has a fun variation (super easy), a hard variation, and maybe even a secret impossible variation. Also, the first 1000 users get 5 free attempts on the fun challenge! Please check it out and let me know what you think! Cheers

Visit product View on Hacker NewsDec 14, 2024

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: hacker news, 000, io · Missing: https docs, excited, just released

50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user, new · Missing: mac, agents, macos

36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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