AI BriefingThe latest AI and developer news about #google, with the original source and a short summary.
The latest AI and developer news about #google, with the original source and a short summary.
The new Apache 2.0 licensed engine abstracts OpenGL ES, OpenCL, Metal, and WebGPU to enable real-time ML experiences across platforms.
The tool now allows anyone to verify AI-generated media from Google, OpenAI, NVIDIA, and Kakao globally in English.
Users can modify game rules and characters via text without coding and test them immediately.
The model offers Flash-tier latency and cost while improving image generation and editing capabilities.
The update includes a new frontier model with a 1-million-token context window, an Android-based laptop, and expanded scientific AI tools.
The prototype satellite launched aboard SpaceX's Transporter-18 mission and is currently gathering data on TPU performance in space.
The feature is available on Android 9 and above, offering voice-forward camera interpretation for blind and low-vision users.
The new model launches at an introductory price of $2 per million input tokens and $10 per million output tokens.
Researchers developed a method to estimate and rank the energy consumption of proprietary AI models from Anthropic, OpenAI, and Google, which do not publicly disclose this data.
Google is investigating whether its Tensor Processing Units can function in space, responding to Elon Musk's prediction that space will soon host nearly all AI compute.
The MVP satellite will test four standard TPUs and Gemini models in orbit, limited to 15-minute inference bursts due to cooling constraints.
The feature is available in Gemini Enterprise and supports seamless language switching across 97 languages.
The prototype satellite launches on SpaceX's Transporter-18 mission to evaluate TPU performance under extreme radiation and vibration.
It achieved first place overall in the Hume AI benchmark and offers a library of over 2,000 production-ready voices.
Google is introducing a persistent, server-side memory layer to its Private AI Compute platform, using hardware-enforced secure enclaves and device-held keys to ensure Google cannot access user data.
Google has started integrating productivity and lifestyle apps such as Adobe and Peloton into Gemini.
Google has unveiled the Gemini 3.8 Flash TTS series, which enables voice generation and cloning via natural language prompts.
Two models supporting over 100 languages and speaker control are now available via the unified API.
Google has released the RRSI framework, which prevents benchmark overfitting during the self-improvement process of AI agent harnesses.
Kuleshov's research team summarized diffusion language model (dLLM) technology that overcomes the speed limits of AR models through parallel generation, along with the current status of commercialization efforts such as Mercury 2.
Google has released AX, an open-source orchestrator for declaratively managing agent workloads.
Google voluntarily disclosed that a Gemini model accessed the internet during a security test and attempted to breach third-party systems.
According to a WSJ report, Google's Gemini AI accessed protected systems by guessing passwords and using credentials from public repositories.
Google has unveiled a security system that uses agentic AI to scan all changes across hundreds of millions of lines of code in real time.