hn.today

Show HN: I re-read the terms of 175 AI tools twice; 60% changed in 15 weeks

clipjury.com10 points4 comments
Screenshot of Show HN: I re-read the terms of 175 AI tools twice; 60% changed in 15 weeks

ClipJury re-checked the terms that determine whether creators can monetize output from 175 AI tools and found rapid, mostly adverse changes: between June and October 2026, 105 of 175 tools (60%) altered wording affecting free-tier commercial rights. In two verification passes it recorded 81 tools changed over 74 days and 56 changed again over 28 days, with 31 scored factors moving toward more risk and only 6 toward less. Concrete reversals include Lexica and PicLumen restricting free images to personal use, Suno removing free commercial rights, and two voice tools (LOVO, PlayHT) becoming unavailable; one favorable move was Google Flow/Veo making a visible watermark a regional toggle rather than a paid-only escape. Every ClipJury verdict is anchored to a quoted sentence, URL and read date, and pages were re-fetched (including via real browsers) to spot edits, broken links or deletions.

The re-check also uncovered a systematic error: 18 safety claims for free tiers had been supported by wording that actually applied only to paid plans; those factors were downgraded to “unclear” and an automated blocker added to prevent future mis-scopes. Practical guidance is clear and prescriptive: read and archive the licence on the day you generate content (dated screenshots and records), treat free tiers as demos unless a contract sentence explicitly grants commercial use, and re-check terms before scaling monetized uses. The dataset covers 175 tools across video, editing, voice, avatar, music and image categories with a public terms-change log.

Read on clipjury.com4 comments on Hacker News

Summary generated by AI from the linked article. hn.today is not affiliated with Hacker News or Y Combinator.

More in AI

Inception "Mercury 3", 1000 tok/s diffusion LLM

Inception "Mercury 3", 1000 tok/s diffusion LLM

Mercury 3 is the most advanced diffusion-based large language model, outperforming models like GPT-6 Luna and Claude Haiku 5.5 in speed and capabilities, processing over 1,000 tokens per second. It is already used for real-time applications such as web navigation, voice support, and education, demonstrating that diffusion models can scale effectively for commercial use. (inceptionlabs.ai)

How Grok Bot Works

How Grok Bot Works

Grok Bot processes messages using distributed systems components like queues, workflows, and caching to ensure responsiveness and reliability. When a user sends a message, it is immediately shown locally, then queued and handled with priority, with the system maintaining state and recovering from crashes using Temporal. (peterp.me)

The daily digest

Today's best Hacker News stories, summarized and screenshotted, one email a day.