Google DeepMind Releases Gemma 4 QAT Checkpoints: Q4_0 and a New Mobile Format Cut On-Device Memory

The anticipated arrival of AGI by 2030 could revolutionize industries, necessitating urgent societal and infrastructural preparations. The post Google DeepMind CEO predicts AGI arrival by 2030, urges preparation appeared first on Crypto Briefing.

DeepMind's framework highlights the need for robust AI delegation protocols, emphasizing trust, accountability, and resilience in multi-agent systems. The post Google DeepMind proposes Intelligent AI Delegation framework for task management appeared first on Crypto Briefing.

The Nobel Prize-winning AI researcher says humanity is standing in the "foothills of the singularity."

Google has released new tools that allow developers to run agentic AI workflows locally using Gemma 4 12B, a 12-billion-parameter model from Google DeepMind. In a blog post, the company said the model, combined with the Google AI Edge stack, can be used to build and test applications on everyday machines. The model-runtime combination supports capabilities such as autonomous data processing, visual insight generation, webpage creation, and tool use. The release includes Google AI Edge Gallery for macOS, where developers can use Gemma 4 12B to generate and run scripts for tasks such as data analysis. Google also said its Eloquent voice dictation and editing app now runs fully on-device on macOS, with support for local transcription and voice-driven text editing. Google has also expanded LiteRT-LM, its lightweight command-line tool for running language models locally, with a new serve command. The company said this allows the CLI to act as a local LLM server and lets developers connect G

Google has released new tools that allow developers to run agentic AI workflows locally using Gemma 4 12B, a 12-billion-parameter model from Google DeepMind. In a blog post, the company said the model, combined with the Google AI Edge stack, can be used to build and test applications on everyday machines. The model-runtime combination supports capabilities such as autonomous data processing, visual insight generation, webpage creation, and tool use. The release includes Google AI Edge Gallery for macOS, where developers can use Gemma 4 12B to generate and run scripts for tasks such as data analysis. Google also said its Eloquent voice dictation and editing app now runs fully on-device on macOS, with support for local transcription and voice-driven text editing. Google has also expanded LiteRT-LM, its lightweight command-line tool for running language models locally, with a new serve command. The company said this allows the CLI to act as a local LLM server and lets developers connect G

Gemma 4 12B uses a new encoding scheme and token prediction to punch above its weight.

Gemma 4 12B feeds vision and audio straight into the LLM backbone, running locally under an Apache 2.0 license. The post Google DeepMind Releases Gemma 4 12B: An Encoder-Free Multimodal Model with Native audio that runs on a 16 GB laptop appeared first on MarkTechPost.

Google DeepMind, Anthropic and Meta study whether AI could become conscious — and what follows for humans if it does