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.
Amazon, Microsoft, and Alphabet plan to spend up to $600 billion combined on AI infrastructure this year.
The feature allows users to explore topics layer-by-layer, from microscopic systems to deep space, with audio narration coming soon.
The new platform lets developers build once to reach users in both Search and the Gemini app, with initial partners including Adobe, Calm, and Peloton.
The model ranks #1 on the Artificial Analysis Intelligence Index v5.0 at 59 and leads in vulnerability detection with 88.2% on SEC-bench Pro.
Google's Gemini 4 Carbon scores 59 on the Intelligence Index v5, leading in complex reasoning and scientific tasks while ranking second only to Claude Opus 5.5 on coding agents.
Google's Gemini 4 Argon model demonstrates significant capability uplift in cybersecurity and biological tasks, with safety assessments indicating it cannot be ruled out for certain Critical Capability Levels.
The policy change permits Google to use personal data from connected services to tailor advertisements.
Early testers report that Gemini 4 Carbon offers noticeably better 3D generation than Argon but runs two to four times slower, with frontend and UI capabilities remaining weak.
Google CEO Sundar Pichai stated that the team focused on Flash models to rapidly iterate on agentic coding capabilities, leaving no time to apply those improvements to Pro before Argon pre-training concluded.
The Linux Foundation-backed body now hosts A2A next to MCP, with the protocol v1.0 adding multi-protocol bindings and signed agent cards.
The open-source PyTorch TPU backend demonstrates linear scaling efficiency and high throughput on large-scale LLM training workloads.
Gemini 4 Argon processed 25 trillion tokens in 72 hours, tripling Gemini 3.0 usage, while Pichai confirms compute constraints are driving efficiency breakthroughs.
The new hub connects to apps like Shopify and Canva, and uses Nano Banana 2.1 to generate on-brand visuals from uploaded style guides.
In a recent study, the AI system securely gathered and summarized patient information, allowing physicians to shift from verifying baseline facts to discussing treatment options.
The feature allows users to review outlines and producer notes before rendering, rolling out globally to all users over the upcoming week.
Tested on Gemini 3.5 Flash and GLM-5, the system improves performance on legal and office benchmarks without changing model weights.
The report highlights that Google connected people with crisis information more than 10 million times per day on average in 2025.
The new tool consolidates items from multiple retailers into a single cart and uses AI to track price drops and suggest payment methods.
Cybersecurity professionals argue that unauthorized access incidents involving OpenAI, Anthropic, and Google models stem from failed sandboxing and monitoring rather than inherent AI misalignment.
The new model offers introductory pricing of $2 per million input tokens and $10 per million output tokens, with a 1 million token context limit.
Developers can access Gemini 4 Argon via the paid tier of the Gemini API and Google AI Ultra subscribers can use it in Google AI Studio.
The model features a 1M token context window and supports text, image, PDF, and video inputs.
Shortens Gboard training period from 2 months to 3 weeks and improves privacy budget by 3x
Internal employee feedback suggests the Carbon checkpoint feels comparable to Claude Opus 5.5 for coding tasks.