198 articles
Google's share of discovery is declining as AI and multi-platform behavior reshape how users find content, according to Semrush insights.
Google unveils Gemini 3.1 Flash Live, a real-time voice AI model with strong benchmark performance and expanded capabilities for agent-based applications.
Google open-sources Colab MCP Server, letting AI agents run cloud code via Claude, Cursor, Codex, and Gemini.
Google and OpenAI dominate Design Arena AI image benchmarks. Gemini 3.1 Flash and ChatGPT models top rankings.
Google AI platforms posted strong February traffic gains, with NotebookLM up 5.56% and Labs.google rising 6.36% despite seasonal slowdowns.
OpenAI's GPT-5.4 Mini tops execution benchmarks with 72.1% on OSWorld, while Gemini 3 Flash leads reasoning at 90.4% GPQA Diamond.
A new study of 500 keywords finds that Google's top-ranked brands dominate AI-generated answers, revealing a tight link between search visibility and AI mentions.
Google's new Gemini Embedding 2 places text, images, video, audio, and documents into a single semantic space, posting a 69.9 multilingual score on MTEB.
Google open-sourced an Always-On Memory Agent built with Gemini Flash-Lite that gives AI continuous, human-like memory across text, images, audio and documents.
xAI's Grok-4.20-Beta model has claimed the top spot on the Search Arena leaderboard. The 500B-parameter system outperformed competing search models from Google, OpenAI, and Anthropic.
Google released its open-source Agent Development Kit built for Gemini 3.1 Flash-Lite, enabling developers to build AI agents with persistent memory that runs 24/7 in the background.
Alphabet's Google is expanding the financial analysis capabilities of its Gemini AI platform. The system can now generate detailed stock research, interpret valuation metrics, and analyze market sentiment.
Google's latest Nano Banana 2 image model is turning heads with exceptional speed and quality, potentially reshaping how professionals approach AI-generated visuals.
Google's Gemini 3.1 Pro is reportedly experiencing a sharp throughput decline on Google Vertex, falling to 50 TPS from 92 TPS at launch. Users are reporting slower response times and inconsistent performance across deployments.
Google's Gemini 3.1 Pro teams up with NotebookLM to create research-heavy workflows built on verified sources, shifting focus from pure benchmark numbers to practical context handling.
Google just launched TimesFM 2.5 on Hugging Face, a specialized AI model designed for time series forecasting. The decoder-only architecture delivers solid zero-shot performance right out of the box, no fine-tuning needed.
Google's Gemini 3.1 Pro Preview secured the top spot in the Artificial Analysis Intelligence Index while using significantly fewer tokens and costing less than half of competitors like Claude Opus 4.6 and GPT-5.2.
Google's Gemini 3.1 Pro climbs 13 points past Gemini 3 Pro on Arena.ai, posting gains across text, coding, math, and occupational categories. The update signals a meaningful step forward in multi-turn reasoning and real-world task performance.
Google Research reveals that simply repeating prompts can dramatically improve LLM accuracy across Gemini, GPT, Claude, and DeepSeek models - with one benchmark jumping from 21% to 97% - while adding zero latency or output bloat.
Tech giants Microsoft, Amazon, and Google are ramping up AI infrastructure spending as future compute contracts exceed $1.6 trillion, raising questions about market concentration and revenue realization.
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Saad Ullah
Eseandre Mordi
Marina Lyubimova
Peter Smith
Alex Dudov
Usman Salis
