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Explained: Midjourney Seeks Hollywood Records Now
AI

Explained: Midjourney Seeks Hollywood Records Now

Midjourney is requesting internal studio records to find evidence of how Disney, Universal, and Warner Bros use, track, license, or experiment with generative AI so those facts can influence arguments about damages, market harm, and fair-use defenses. The requests move the dispute beyond scraped training data into a wider inquiry about industry AI practices that could affect procurement and governance rules.

July 6, 202614 min read
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Why Fair Foundations Responsible Access Matters Now
AI

Why Fair Foundations Responsible Access Matters Now

Fair foundations responsible access gives AI developers lawful, transparent, and proportionate ways to use creative works so models can learn while respecting creators' rights. Weak or unclear access rules increase legal and reputational risk and make it harder to maintain trustworthy, high-quality sources for training.

July 5, 202615 min read
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Explained: Which Stocks Win Google in Walmart AI
AI

Explained: Which Stocks Win Google in Walmart AI

Alphabet is the primary winner because Google supplies the AI models, cloud infrastructure, and integration layer for an always-on checkout workflow. Other beneficiaries can include Walmart, payment networks, retail automation suppliers, and select chip and data-center companies if the rollout improves checkout speed, shrink control, or basket conversion, so investors should follow adoption signals rather than headlines.

July 4, 202613 min read
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Explained: Flashy Generative Failing Performance Test
AI

Explained: Flashy Generative Failing Performance Test

Flashy generative failing performance describes when attention-grabbing AI creative increases impressions or internal excitement but does not improve conversion, retention, or return on ad spend because the workflow optimizes for output volume or visual wow instead of audience relevance, offer clarity, testing discipline, and economic efficiency. The fix is to tie generative output to clear business metrics and testing hypotheses so AI supports measurable performance instead of distracting from it.

July 3, 202613 min read
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