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AI Art Training Rubric Failure Traced to Redundant Reward Signals

A team training a generative model to paint with code (using p5.brush) found their nine-signal reward rubric caused the model to plateau at flat, repetitive outputs. Investigation revealed four quality judges and prompt adherence were nearly identical measurements, while a code-length metric saturated early and stopped providing useful feedback, leaving only one signal actually driving learning. The fix replaced absolute 0-10 scoring with pairwise comparisons against a curated pool of 1,664 hand-rated reference images.

Twitch Streamer Sues Twitch and Amazon Over AI Training Data Use

Connecticut-based streamer Warren Pandiscia has filed a class action lawsuit against Twitch and Amazon, alleging the companies used his streams and videos to train AI models without licensing or consent. The suit follows Twitch's recent rollout of an opt-out (rather than opt-in) setting for AI training use of channel content, with a Twitch executive admitting few users would opt in if given the choice upfront.

Court ruling leaves AI book-training legality murky despite Anthropic's $1.5B settlement

A landmark ruling by Judge William Alsup found that Anthropic's use of copyrighted books to train its AI models was lawful under fair use, even though the company was penalized $1.5 billion for obtaining those books through pirated shadow libraries. Attorney Cathy Gellis explains that the judge distinguished between illegally acquiring texts and the act of training an AI on them, comparing the latter to a writer studying literature rather than copying it.

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