Anthropic announced that its Claude models will soon begin marking text output with invisible watermarks. ^[1] Google revealed that its visible Gemini watermark on generated images will now be optional. ^[2] The authors introduce Stateless Bernoulli Watermarking (SBW), a new statistical watermark for Large Language Models that determines green list membership through independent per-token Bernoulli trials. ^[3] Google's SynthID distributes an invisible signature across generated images, allowing detection even in cropped versions. ^[4] OpenAI has a standalone tool to check for SynthID or C2PA in a file, though it reportedly only detects media generated by OpenAI itself. ^[5] In end-to-end generation benchmarks, SBW adds less than 1% overhead at all batch sizes. ^[6] The stateless architecture enables full-vocabulary self-salt watermarking, which is over 6000 times faster than KGW's self-salt and two times faster than SynthID despite biasing the entire vocabulary with candidate-dependent seeding. ^[7] Unlike KGW's vocabulary permutation or SynthID's multi-layer tournament, SBW requires only a single comparison per token against a counter-based random number generator, reducing membership complexity to O(1). ^[8]