Google's official blog — product launches, AI announcements and policy posts, straight from the company.
In plain terms: Get the latest news and stories about Google products, technology and innovation on News from Google, Google's official blog.
Why I recommend it: Primary source for what Google is shipping. Marketing language included — read the "what changed" parts.
Google announcement of the Connected Apps Platform for building and managing apps that work inside Gemini and Search; developer access is through a preview sign-up.
In plain terms: Google's October 2026 roundup of Google Play updates, covering new creation, discovery and gaming features on the platform.
Google announced the availability of Gemini 4 Argon in the Gemini app, featuring frontier reasoning and improved performance in complex tasks. The update includes agentic coding interfaces for macOS and expanded connections to over 40 third-party apps.
Google's first ATLAS report on how AI is being adopted across the economy, with findings on usage, productivity and work.
Google's explainer on Project Suncatcher, its research into running machine-learning hardware on solar-powered satellites.
Why I recommend it: Google describing its own moonshot. It is an early research project, not a working service.
Google's I/O 2026 announcements on combining its search engine with AI, including agent features.
Why I recommend it: Company announcement. Features roll out gradually and not everywhere.
Every post by Google's CEO in one feed — product announcements, AI strategy and company positioning, straight from the source.
Why I recommend it: Primary source material — worth reading before commentary about Google, not after.
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A KDnuggets guide by Vinod Chugani that goes round by round through current data science hiring processes, including AI-assisted coding rounds and generative AI evaluation questions, and lists ways candidates can prepare.
A Built In survey of job seekers on how AI tools shape which employers they find and consider. Among respondents who use AI for employer research, 66% say they applied to a company they had not considered and 53% say they decided not to apply somewhere because of what AI showed them. Built In sells employer branding services.
Artificial Analysis reports Muse Ember benchmark scores and task-cost estimates, including an Intelligence Index score of 36 and $0.14 per task in its evaluation. These are evaluator-specific results, not a verified Meta launch announcement or evidence of free model access.
Epoch AI explains an Inference Performance Index for estimating chip capacity across agentic workloads and output-speed requirements. Its modeled comparisons, expressed in GB300 equivalents, depend on workload and hardware assumptions and are not universal real-world performance guarantees.
OpenAI announces that organizations can purchase ChatGPT Enterprise through AWS Marketplace using existing procurement and billing arrangements. The announcement is freely readable; ChatGPT Enterprise is a paid service, not a free tool.
Anthropic announces Claude Fable 5.2 and Mythos 5.2 and reports improvements in coding, reasoning and vision and outputs up to 30% faster than 5.1. The announcement is free to read, not free model access: listed API prices are $8 per million input tokens and $40 per million output tokens; Mythos requires organizational verification.
