19 summarised stories about Gemma, each linking back to the original source. Browse all topics →
Simon Willison’s Weblog 1 week ago 17 ● 7 sources
A commenter on Hacker News said EmbeddingGemma 2 being under the Apache 2.0 license matters because embedding apps often generate and store thousands to millions of vectors for later comparison.
Google 1 week ago 10 ● 7 sources
Google DeepMind launched EmbeddingGemma 2, an Apache 2.0 multimodal embedding model that maps text, images, audio, and video into a shared embedding space for on-device use. It has 740 million parameters and an 8K token context window. Developers can now build fully local, offline cross-modal search and retrieval (including on-device RAG) with lower memory and storage needs via quantization and vector truncation.
MarkTechPost 1 week ago 49 ● 7 sources
Google DeepMind released EmbeddingGemma 2, an open multimodal embedding model that maps text, code, images, video, and audio into a shared vector space. It has 740M parameters and uses an 8,192-token context window. The release adds deployable weights under an Apache 2.0 license (including Edge/phone-friendly builds) and enables privacy-first, on-device search and retrieval for RAG pipelines across modalities.
Product Hunt 1 week ago 19 ● 7 sources
Google DeepMind launched EmbeddingGemma 2, an open embedding model that maps text, code, images, video, and audio into one shared representation for cross-modal search. The full multimodal model is 740M parameters and needs about 567MB of RAM on a Pixel 11 Pro. Model weights are now available on Apache 2.0 via Hugging Face and Kaggle, and the MTEB Code score rose from 68.76 to 78.68.
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15 October 2026
Anthropic’s IPO filing message landed with unusually crisp numbers: in the three months ended September, the company reported $16.8 billion in revenue, up 45% sequentially, and said it reached adjusted profitability for the first time. Ahead of an expected November listing, that combination—rapid top-line growth plus a path to profits—turns Anthropic into more than a product story. It becomes a benchmark for how investors should price the next wave of frontier model companies, especially as capital markets start to ask for financial discipline, not just impressive demos.
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