text · August 15, 2026

Anthropic extends invisible watermarks to all Claude text and code as Android bakes Gemini into text selection

What the sources reported

Anthropic's invisible watermark reaches all Claude text and code

Anthropic said starting soon, all text generated or processed by Claude, including code from Claude Code, will carry invisible AI watermarks detectable with the right tools. The policy goes beyond EU AI Act mandates that took effect earlier in August and has drawn pushback from some users who labelled it unethical. The rollout positions invisible, machine-readable watermarks as the default for at least one frontier chat and coding assistant, with implications for anyone publishing, archiving or screening AI-assisted text.

Android text selection gains a system-wide Ask Gemini entry

Google has quietly added an Ask Gemini option to the floating text selection menu across Android, surfacing first in stable Chrome for Android and in other browsers such as Firefox and Edge once the Google app is installed. Selecting text and tapping the entry launches the Gemini app with the highlighted content pre-inserted into the prompt box, removing the manual copy-and-paste step for quick lookups, rewrites and translations.

Google quietly rolls out system-wide "Ask Gemini" option in Android text selection menu — Image: piunikaweb.com

Gboard's Rambler turns rambling speech into clean prose

Google's Gboard voice dictation gained a new Rambler mode designed to interpret disfluent, run-on speech and rewrite it as the sentence the speaker intended. A hands-on test on a Pixel 11 Pro reported that Rambler understood stream-of-consciousness dictation and produced clean transcriptions, suggesting a path to friction-free speech-to-text for users who hesitate over dictation because they lose their train of thought.

Researchers pitch geometry over text for labelling model features

Researchers at Tsinghua University posted a preprint for SAEVerbalizer, a system that labels sparse-autoencoder features by injecting geometric vectors into a language model's representations instead of relying on hand-written text labels. Sparse-autoencoder feature labelling has been described as the scaling bottleneck for AI interpretability, and the geometric approach is positioned as an alternative to text-based labels that the researchers argue do not scale.

Evidence

What this means for tooling

invisible-watermark detector for Claude text
AI-text disclosure badge generator
speech-to-text disfluency cleaner preview
sparse-autoencoder feature-label visualiser
Android selection-to-prompt helper

Tools that already cover this

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AI analysis by Lizely. Grounded in linked public evidence. Participants are fictional editorial roles, not real people or human authors.