Project ideas from Hacker News discussions.

Our approach to age prediction

πŸ“ Discussion Summary (Click to expand)

The discussion around OpenAI's age-prediction system revealed four prevalent themes: the invasive nature of age verification, the underlying motive of data collection for advertising, deep skepticism about the efficacy of the system, and the broader context of surveillance and government overreach.

Here are the four most prevalent themes:

1. Invasive Surveillance and Data Collection Many users argued that the age verification process is excessively intrusive and serves as a data grab under the guise of safety. They expressed concern that giving biometric data to a third-party vendor like Persona is a privacy risk. * JohnMakin: "It's so easy to get 'flagged' by opaque systems for 'Age verification' processes or account lockouts that require giving far too much PII to a company like this for my liking." * seneca: "The goal is obviously to gather as much data on you as possible under whatever pretense users are most likely to accept. 'Think of the children', as always."

2. Monetization and Advertising Motivations A dominant theme was the belief that OpenAI is implementing these changes primarily to enable targeted advertising and demographic profiling, rather than genuine safety concerns. * yunohn: "This is 100% for advertising, not user safety. It’s absolutely crucial for effective ad monetization to know the users age." * samename: "What a coincidence: 'protect the children' narrative got amplified right about when implementing profiling became needed for openai profits. Pure magic."

3. Skepticism of Efficacy and Accuracy Users frequently pointed out that behavioral profiling is an unreliable way to determine age and is easily gamed by minors, rendering the restrictions ineffective. * aleksandrm: "It's nonsense and doesn't work. They have 'age predicted' my account a couple of months back saying I'm under the 18, while I'm a man in my 40s." * duskwuff: (Referencing the concept) "But it turns out smart teens who like trivia knew most of them too (and you could just ask mom and dad, they had no clue why you were asking which President appeared on Laugh In)."

4. The "Surveillance State" and Censorship Slippery Slope The conversation frequently expanded beyond OpenAI to critique the normalization of digital ID requirements, government pressure for surveillance, and the use of "think of the children" rhetoric to justify censorship. * b112: "I expect by 2030, there won't be a place on Earth where not just age verification, but identity is required to access online platforms." * heliumtera: "safe to say everything in existence is created to extract user demographics... it was never about you finding information, this trillion market exists to find you."


πŸš€ Project Ideas

Privacy-Preserving AI Guardian

Summary

  • A client-side tool that analyzes AI conversation patterns and content locally to predict if you might be flagged as underage or violate platform policies.
  • Core value: Proactively warns users about potentially problematic topics before they trigger automated flagging systems.

Details

Key Value
Target Audience Power users, journalists, and privacy-conscious individuals who regularly interact with AI chatbots
Core Feature Local model that analyzes conversation history and predicts risk scores for age/policy violations without sending data to cloud services
Tech Stack Browser extension or desktop app using on-device ML (TensorFlow Lite, ONNX Runtime), WebRTC for secure local processing
Difficulty Medium
Monetization Hobby - open source project

Notes

  • As user aleksandrm noted: "They have 'age predicted' my account... while I'm a man in my 40s who uses ChatGPT for mostly work related stuff" - false positives are a real frustration.
  • HN commenters concerned about surveillance would appreciate a tool that helps them maintain privacy while using these services.
  • Practical utility: Helps users understand what triggers these systems, potentially reducing unnecessary data sharing.

Independent AI Verification Layer

Summary

  • A neutral, open-source verification system that sits between users and AI platforms to confirm age without sharing PII with the AI company.
  • Core value: Decouples age verification from data collection, preventing biometric data from being used for advertising or surveillance.

Details

Key Value
Target Audience Parents, educators, and privacy advocates who need age-appropriate AI access for minors
Core Feature Zero-knowledge proof system that verifies age to AI platforms without revealing identity or biometric data
Tech Stack WebAuthn, zero-knowledge protocols (zk-SNARKs), browser extension, optional hardware token integration
Difficulty High
Monetization Revenue-ready: Freemium model with premium features for enterprise/school districts

Notes

  • As seneca pointed out: "The goal is obviously to gather as much data on you as possible under whatever pretense users are most likely to accept" - this tool directly counters that.
  • HN would love the technical challenge and the privacy-first approach, especially the zero-knowledge aspects.
  • Discussion potential: Large debate around cryptographic solutions vs. surveillance systems.

Conversation Analyzer for AI Safety

Summary

  • A tool that examines AI-generated content for potential manipulation or harmful suggestions, helping users (especially teens) identify problematic interactions.
  • Core value: Empowers users to critically evaluate AI responses rather than blindly trusting them.

Details

Key Value
Target Audience Teens, parents, educators, and anyone concerned about AI manipulation
Core Feature Real-time analysis of AI responses for risky suggestions, emotional manipulation, or harmful advice with clear scoring
Tech Stack Browser extension using sentiment analysis APIs, pattern matching against known risky content, optional integration with mental health resources
Difficulty Low
Monetization Hobby - open source, potentially supported by mental health orgs

Notes

  • Addresses sho_hn's concern: "I was immediately thinking about ways that could be avoided that make sense in the product."
  • HN users who work in safety-critical systems would appreciate this proactive approach.
  • Practical utility: Helps users maintain critical thinking when interacting with AI systems.

Anonymous AI Access Service

Summary

  • A service that provides AI chat capabilities without requiring account creation, using temporary tokens that expire automatically.
  • Core value: Allows casual AI use without building any user profile or demographic data.

Details

Key Value
Target Audience Privacy-conscious users, journalists, and anyone wanting casual AI access without surveillance
Core Feature Anonymous session tokens, no account required, automatic data deletion after session, no logging of queries
Tech Stack Serverless architecture, Tor/VPN integration options, encrypted session management, optional user-paid API credits
Difficulty Medium
Monetization Revenue-ready: Pay-per-use micropayments or subscription for premium anonymous access

Notes

  • Directly addresses JohnMakin's frustration: "They wouldn't accept a (super invasive feeling) full facial scan + a REAL ID, they also wanted a passport. So I opted out of the platform."
  • HN users would embrace this as it gives them control over their data while still accessing AI services.
  • Practical utility: Provides an alternative for those who've been "flagged for verification" without PII.

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