watermarking

Anthropic has released Claude Fable 5.1 and its restricted-access sibling Mythos 5.1, more than doubling Fable 5's score on Terminal-Bench-Science and cutting cache-read pricing from $1 to $0.25 per million tokens. The models are the first Claude release to ship with built-in watermarking and a private-preview detection API.

Anthropic has begun embedding invisible watermarks into Claude's generated text so it can later identify AI-authored content. ML educator Sebastian Raschka published a detailed 48-minute video explainer breaking down how the underlying token-sampling mechanism works.

Anthropic is embedding a statistical watermark in Claude's text output, based on Google's SynthID-Text method, to comply with EU AI Act rules. Critics argue the technique degrades word choice quality, while legal analysts warn it could create new disclosure headaches for law firms.

Anthropic has begun watermarking text and images generated by Claude to comply with EU AI transparency regulations. The method embeds an undetectable pattern during word selection that can be decoded via API, without affecting output quality, speed, or cost.

Anthropic is rolling out a watermark detection API that lets third-party developers check whether text was generated by Claude. The move stems from EU AI Act compliance requirements and uses a variant of Google DeepMind's SynthID Text method.

Google now lets users toggle off the visible "sparkle" watermark on content generated with Gemini and Flow, including Nano Banana and Omni model outputs. Invisible SynthID watermarks and C2PA metadata still remain embedded, according to Google Labs VP Josh Woodward.

Google announced users can now toggle off visible watermarks on AI-generated images, video, and songs from its Nano Banana, Omni, and Lyria models. Invisible SynthID watermarks and C2PA metadata remain in place for transparency.

Anthropic has begun embedding invisible watermarks in Claude's text outputs to comply with the EU AI Act's Transparency Code. The move has triggered backlash from some users worried the watermarks will expose their undisclosed use of AI at work or in school.

Anthropic is adding machine-readable watermarks to Claude-generated text and digital signatures to generated files to comply with the EU AI Act's Article 50 transparency mandate. The change applies to models launched after Aug. 2 and rolls out globally, though Anthropic admits detection can fail on heavily edited or short text.

Anthropic confirmed it will watermark AI-generated text and files from Claude models, complying with the EU AI Act's Transparency Code that took effect August 2. The watermark is applied at the model level and persists through copy-paste, according to the company.

Meta has released a web-based detection tool for identifying images created or edited with its new Muse Image model using invisible Content Seal watermarks. The watermarks persist through cropping, compression, resizing, and screenshots, though the tool has rate limits and isn't compatible with SynthID or C2PA standards.

Google has released Gemini 3.1 Flash Lite Image, a text-to-image model that generates 1K resolution images in approximately 4 seconds — 2.7× faster than Gemini 3.1 Flash Image. The model is priced at $0.25 per 1M input tokens and $1.50 per 1M output tokens, with a 66K context window and knowledge cutoff of January 2025.

Google DeepMind released Gemini Omni Flash, the first model in its new Omni family that generates and edits video from image, audio, video, and text inputs. The model is rolling out to Gemini app subscribers and YouTube Shorts with a 10-second clip limit, while speech-editing capabilities remain withheld pending safety testing.

OpenAI is joining the C2PA open standard and embedding Google DeepMind's invisible SynthID watermark in all AI-generated images from its models. The company is launching a public verification tool that checks for both C2PA metadata and SynthID watermarks, though detection only works for images created by OpenAI's own products.

Google DeepMind launched Gemini 3.1 Flash TTS, a text-to-speech model that achieved an Elo score of 1,211 on the Artificial Analysis TTS leaderboard. The model introduces audio tags that allow developers to control vocal style, pace, and delivery through natural language commands embedded in text input, with support for 70+ languages.

Google released Lyria 3 Pro, an updated music generation model capable of creating full 3-minute songs—six times longer than the 30-second limit of its predecessor launched last month. The new version adds granular control over song structure, allowing users to specify intros, verses, choruses, and bridges. It's available now for paid Gemini users, enterprise customers, and developers via API.