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Google Gemini

Tech Turmoil: iPhone 17 Stuns, Starlink Outage, Cyber Hacks & Chip Wars – Non-AI News Roundup (Sept 14–15, 2025)

AI Frenzy Unleashed: Nvidia Rockets to $5T, Google’s Gemini Enterprise Debuts, and Global AI Battles Heat Up

AI Market and Investments The stock market is pricing in massive AI bets. Nvidia became the first $5 trillion company (in late October) as its chips power most generative AI models reuters.com. Hargreaves Lansdown analyst Matt Britzman hailed the milestone: “Nvidia hitting a $5 trillion market cap is more than a milestone; it’s a statement” reuters.com, noting Nvidia’s shift from hardware vendor to “industry creator.” Even with such gains, some experts warn of overheating – a Reuters piece noted concerns of a possible bubble once cash flows are demanded reuters.com. Meanwhile, Meta, Alphabet and Microsoft are doubling down on building out
Google’s Gemini AI: The Multimodal Supermodel Aiming to Outshine GPT-4 and Beyond

Google’s Gemini Stuns World Finals: AI Outscores Top Coders for “Gold” Medal Performance

Gemini: Google’s New AI Prodigy for Coding and Problem-Solving Gemini is Google DeepMind’s latest artificial intelligence model, envisioned as a multimodal, next-generation system. Gemini 2.5 “Deep Think” – the version that tackled the ICPC contest – is specially tuned for intensive reasoning tasks like competitive programming and advanced mathematics. It builds on the transformer-based foundation of earlier large language models (like those behind ChatGPT), but introduces new techniques to push the boundaries of problem-solving blog.google blog.google. How Gemini “Thinks” Differently: Unlike typical coding assistants that generate one solution at a time, Gemini Deep Think employs a form of parallel thinking.
Smart Home Showdown 2025: Google Nest vs Alexa, HomeKit & the Rest – Which Ecosystem Rules?

The Post-Assistant Era: Google’s Gemini Comes Home – What It Means for Your Smart Home

A New AI Voice Assistant for the Home: Gemini for Home Nearly a decade after introducing Google Assistant as a handy voice helper, Google is now giving its smart home ecosystem a radical upgrade. Gemini for Home is an all-new AI voice assistant that will “eventually replace Google Assistant” on all Nest-brand smart speakers and smart displays theverge.com. Announced in August 2025 by Google’s Nest team, Gemini for Home is built on the company’s latest large language model (LLM) technology (the same family of AI models behind Google’s Gemini chatbot). This means it can understand and respond to far more
Google Gemini Live vs Amazon Alexa+ vs Siri’s Apple Intelligence: The Ultimate AI Assistant Showdown 2025

Google Gemini’s August 2025 Revolution: AI Mode Goes Global, Cars Talk Back, and More

AI Mode in Search expanded to 180 countries in August 2025, powered by Gemini 2.5 with AI Overviews and sign-in free for teens. Volvo EX90 demo at Google I/O 2025 showed Gemini handling in-car voice tasks, with Gemini Live enabling free-form conversations and real-time translation across 40+ languages. Wear OS 6 introduced the Gemini assistant, and Chrome began a preview of Gemini AI for Pro and Ultra subscribers. Gemini CLI was open-sourced in late June 2025, giving free access to Gemini 2.5 Pro via CLI with a 1-million-token context window and up to 60 requests per minute (1,000 per day).
Google Gemini Live vs Amazon Alexa+ vs Siri’s Apple Intelligence: The Ultimate AI Assistant Showdown 2025

Google Gemini Live vs Amazon Alexa+ vs Siri’s Apple Intelligence: The Ultimate AI Assistant Showdown 2025

Gemini Live debuted in late 2024 as Google’s replacement for Google Assistant and is built on the Gemini LLM, enabling real-time screen and camera analysis. Alexa+ was announced in early 2025 and rolled out as a free Prime upgrade (or $19.99/month) with a model-agnostic mix (Nova and Anthropic Claude 2) to handle calendars, reservations, rides, and multi-step actions across apps. Siri with Apple Intelligence runs on-device in iOS 18, supports Type to Siri and follow-ups without repeating “Hey Siri,” and can tap into OpenAI’s ChatGPT for complex queries with user permission. Gemini Live’s Project Astra enables multi-modal vision, letting it
Ultimate 2025 Showdown: iOS vs Android vs HarmonyOS — Which Mobile OS Reigns Supreme?

AI Showdown 2025: ChatGPT vs Google Gemini vs Anthropic Claude – Which Model Leads the Pack?

OpenAI’s ChatGPT runs on GPT-4o (GPT-4 Omni), introduced in early 2025 as a multimodal model that handles text, images, and voice. GPT-4.5, code-named Orion, was rolled out to ChatGPT Pro in February 2025 to boost performance ahead of GPT-5, which is under development for late-summer 2025. Anthropic released Claude 4 in May 2025, with two main variants—Claude 4 Opus and Claude 4 Sonnet—featuring a 200K token context and an extended thinking mode for chain-of-thought reasoning. Google’s Gemini 2.5 arrived in mid-2025 as the first publicly available multi-agent model, with Pro and Flash variants and a full 1M token context. Gemini
Battle of AI Titans: ChatGPT vs Google Gemini – The Ultimate 2025 Showdown

Battle of AI Titans: ChatGPT vs Google Gemini – The Ultimate 2025 Showdown

ChatGPT launched in late 2022 and quickly gained hundreds of millions of users, while Google released Gemini (then Bard) in 2023 as its competing AI assistant. ChatGPT runs on the GPT-4 model and is renowned for strong text reasoning and coding, whereas Gemini is natively multimodal (text, images, audio, video) and can use live Google Search and even execute code in Gemini Pro. Gemini Pro can handle context windows up to 2 million tokens, far larger than ChatGPT’s 32,000-token extended window, enabling whole-project analysis. In February 2025, Gemini Advanced gained the ability to recall past chats to personalize responses, while
Google Gemini AI: July 2025 Updates and Developments

Google Gemini AI: July 2025 Updates and Developments

In July 2025, Sameer Samat confirmed that ChromeOS and Android would merge into a single platform, with Android serving as the base for Gemini-powered AI across devices. By early 2025 Google had launched Gemini 2.5 Pro as its most powerful model at the time, with a larger Gemini Ultra planned for broader release later in 2025. The ChromeOS–Android unification is intended to let Gemini AI features run system-wide, enabling consistent AI experiences across phones, tablets, and laptops. Gemini Live on foldables debuted in July 2025, allowing continuous AI assistance on foldable phones and access from the Galaxy Z Flip external
Everything You Need to Know About Google Gemini CLI: Features, News, and Expert Insights

Google’s Gemini CLI Just Dropped—Here’s Why This Free, Open‑Source AI Agent Could Replace Your Favorite Coding Tool

Gemini CLI is a command‑line AI agent that passes natural-language prompts to Gemini 2.5 Pro and returns structured responses, code, or multimedia within the terminal. Gemini 2.5 Pro supports a 1,000,000-token context window, about 50–100× larger than mainstream LLMs, enabling repository-scale reasoning. The CLI integrates with Veo for video, Imagen for images, and Google Search via the Model Context Protocol (MCP) to handle multimodal tasks. During the preview, individuals can issue 60 requests per minute and 1,000 per day. Google released the entire Gemini CLI codebase under the Apache 2.0 license on GitHub, inviting pull requests and forks. Taylor Mullen,
Everything You Need to Know About Google Gemini CLI: Features, News, and Expert Insights

Everything You Need to Know About Google Gemini CLI: Features, News, and Expert Insights

Gemini CLI was released by Google on June 25, 2025, as an open-source Apache-2.0 tool integrating Gemini 2.5 Pro into the terminal. Gemini 2.5 Pro in the CLI provides a 1,000,000-token context window and a free tier of up to 60 model requests per minute and 1,000 requests per day for personal Google accounts. The CLI runs natively on macOS, Linux, and Windows (no WSL) as an npm package requiring Node.js 18+, installable with npm install -g @google/gemini-cli. It includes built-in Google Search for real-time data and supports Model Context Protocol (MCP) to connect to external data sources and tools.
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