Browse claims.

Data center growth deserves real numbers, not planet-doom slogans.

Water claims need location, cooling method, and data-center baselines.

Training, copying, style imitation, copyright, and compensation are different claims.

Plagiarism, infringement, memorization, and style imitation are not the same thing.

Automation changes tasks first; total replacement is a bigger claim.

Tool misuse is real, but cheating and learning support are different claims.

Errors matter, but usefulness depends on task, verification, and failure cost.

Confident falsehoods are real. The trust question depends on the workflow.

Next-token prediction is real, but the dismissal skips measured capability.

Privacy risk depends on the product, settings, policy, and contract.

Bias is real, but comparisons should include human and institutional baselines.

Open access changes risk, but closed systems are not automatically safe.

Creative tools can flatten output or expand iteration depending on use.