Project ideas from Hacker News discussions.

YouTube caught making AI-edits to videos and adding misleading AI summaries

📝 Discussion Summary (Click to expand)

The three most prevalent themes in the discussion are:

1. Manipulation of Creator Content Without Consent

Users expressed strong concern and frustration over platforms, specifically YouTube and Instagram, altering creators' uploaded videos automatically and without clear notification or permission. This manipulation is perceived as a violation of the creator's control over their work.

  • Evidence: "I can hear the ballpoint pens now… This is going to be a huge legal fight as the terms of service you agree to on their platform is “they get to do whatever they want” (IANAL)." (reactordev)
  • Evidence: "He's getting his compassionate nodding and emotional support in the comments over there. I agree that him being non-technical shouldn't be discussion-ending in this case, but it is a valid observation, wether necessary or not." (panxyh, responding to the necessity of platform intervention versus creator consent)

2. Confusion and Debate Over the Nature of the Alterations (AI Filter vs. Compression Artifacts)

A significant portion of the thread debated whether the observed visual changes (like enlarged eyes/lips) were intentional AI face filters or merely artifacts of aggressive, experimental data compression techniques being tested by the platforms.

  • Evidence (Pro-Filter/Intentional Change): "They highlight things like their eyes getting bigger which are not what you usually expect from a compression artifact." (maxbond)
  • Evidence (Pro-Compression/Artifact): "To me, this clearly looks like a case of a very high compression ratio with the motion blocks swimming around on screen." (Aurornis)
  • Evidence (Official Explanation): "Rene Ritchie, YouTube’s creator liaison, acknowledged in a post on X that the company was running “a small experiment on select Shorts, using traditional machine learning to clarify, reduce noise and improve overall video clarity—similar to what modern smartphones do when shooting video.”" (Aurornis, citing outside source)

3. Normalization of AI Slop and Platform Autonomy vs. Creator Rights

This theme captures the broader cynicism regarding platforms aggressively pushing AI-generated or altered content, often prioritizing metrics (engagement/cost savings) over authenticity, leading users to feel powerless and view the content ecosystem as degrading ("slopification").

  • Evidence: "The end game for addictive short form chum feeds like TikTok and YouTube Shorts is to drop human creators entirely. They’ll be AI generated slop feeds that people will scroll, and scroll, and scroll." (api)
  • Evidence: "If you make all content look like AI generated content, it normalizes AI generated content more and pushes their AI slop and AI generation products." (mannanj)
  • Evidence: "The insanity of YouTube is their absolute dedication to forcefully introduce features nobody wants and to neglect all aspects of the site which are in desperate need of fixing." (constantcrying)

🚀 Project Ideas

ConsentSnap: Unauthorized Transformation Audit Tool

Summary

  • A browser extension and cloud service that allows content creators to audit video content served to them/their viewers on major platforms (YouTube, Instagram) against their original uploads to detect unauthorized AI-based, compression-related, or styling modifications.
  • Core value proposition: Providing creators with technical evidence and documentation of platform-side manipulation of their content, enabling informed legal or platform feedback.

Details

Key Value
Target Audience Video Creators, especially influencers and beauty/makeup artists whose appearance is critical to their brand integrity.
Core Feature Side-by-side comparison tool (local/cloud rendering) that highlights pixel differences between the uploaded source file (user provides) and the served version, specifically flagging areas identified in the discussion (eyes, mouth, skin texture).
Tech Stack Frontend: JavaScript/TypeScript, React (for UI), WebExtension APIs (Chrome/Firefox). Backend: Python/FastAPI, OpenCV/Pillow for image/video diffing and analysis.
Difficulty Medium
Monetization Hobby

Notes

  • Addresses the core ambiguity/dispute ("Is it compression or a filter?") by demanding verifiable proof: "This would presumably be an easy smoking gun for some content creator to produce." (data-ottawa).
  • Directly supports creators feeling their perception of changes is being dismissed by technical "well actually" arguments (maxbond).

CreatorConsentLayer: Opt-In/Opt-Out Media Transformation API

Project Title

CreatorConsentLayer: Opt-In/Opt-Out Media Transformation API

Summary

  • A framework/middleware that creators integrate into their upload pipeline that explicitly signs/tags their content for platform consumption settings, focusing specifically on post-processing like compression, upscaling, or dubbing.
  • Core value proposition: Reversing the current platform default of mandatory, surreptitious transformation by giving creators granular control over quality/style alteration.

Details

Key Value
Target Audience Content creators, Technical platform developers (as a proposed integration standard).
Core Feature A standardized metadata/header system (applied at upload) that explicitly defines acceptable post-processing modes (e.g., allow_neural_compression=false, allow_ai_dubbing=opt_out, upscale_method=none). Platforms must respect these tags or serve the original faithfully.
Tech Stack Backend: Go/Rust for high-throughput, low-latency metadata processing; Standardized JSON/CBOR payloads for metadata; Implementations targeting major platform APIs (or acting as a proxy/wrapper for creators).
Difficulty High
Monetization Hobby

Notes

  • Directly combats the feeling that platforms "do whatever they want" with uploaded content (api).
  • Appeals to the technical desire for transparency: "be transparent instead of auto translating titles so I dont even know the video was not made that badly by its original author." (watwut).

Anti-AutoDub/Anti-Summary Toggle Extension

Project Title

Anti-AutoDub/Anti-Summary Toggle Extension

Summary

  • A privacy/usability focused browser extension that aggressively disables unwanted, intrusive, and often poorly implemented AI features like mandatory automatic translation/dubbing and AI-generated video summaries/thumbnails.
  • Core value proposition: Restoring user control and preferred language settings over UX elements that are defaulted to "Google's preference" (display language, content interpretation).

Details

Key Value
Target Audience Multilingual users, users frustrated with manipulative UI defaults, users who dislike AI summaries/thumbnails.
Core Feature Background scripts that aggressively override default settings using known platform API overrides or DOM manipulation to block/hide the Dubbed Audio track, remove AI summary cards, and revert auto-generated thumbnails to manually selected frames.
Tech Stack Frontend: TypeScript/JavaScript, UBlock Origin/Tampermonkey compatibility, potentially using DeArrow extension structure as a starting point.
Difficulty Low
Monetization Hobby

Notes

  • Addresses the widespread annoyance: "I really hate them. Once again, Google have completely failed to consider multi-lingual people." (sofixa) and "The videos on the start page are still misaligned." (constantcrying).
  • Provides immediate utility for users like those who want to "Set your mother tongue to some esoteric language Google has not enough training data on" (taegee) but want more robust control.