The provided QbitAI title indicates that Google released a model quietly while attention was focused on Mythos. The only concrete performance claim available is that speed increased by 4x, but the model name, task scope, benchmark method, and availability are not provided. Based on the title alone, this appears to be a model-release item relevant to developers and AI practitioners tracking latency and throughput improvements.
Simon Willison highlights Google’s new DiffusionGemma, an Apache 2 licensed open-weight Gemma model. He connects it to last year’s brief Gemini Diffusion preview, which he measured at 857 tokens per second. NVIDIA is currently hosting the model for free on its NIM cloud API, where Willison generated 2,409 tokens in 4.4 seconds, implying at least 500 tokens per second.
Simon Willison quotes Emanuel Maiberg of 404 Media about a post-publication request from Google. After the story ran, Google asked the outlet to publish a slightly different version of its statement. The notable change: the revised statement no longer said it was critical to maintain humans in the loop, raising questions about corporate AI accountability language.
The post frames Timnit Gebru’s dispute with Google as an early warning about large language model risks. Based on the available title, it appears to argue that concerns around bias, accountability, concentration of power, and deployment risks have since become visible in practice. This is best read as AI ethics commentary, not a model release or technical tutorial.
UK regulators are requiring Google to provide a tool that lets website publishers opt out of generative AI Search features. The option will be tested in the UK first, then rolled out globally. The report does not specify the exact mechanism, timing, or whether opting out affects standard Google Search indexing.
Google has officially launched the next generation of its open-source large language model, Gemma 2, with an initial release in two sizes — 9B (9 billion…
Google and Hugging Face have jointly announced the launch of CodeGemma, a family of lightweight open-source large language models (LLMs) designed specifically…