Google announced Gemini 3.8 Flash, its third Flash variant release in six weeks, with a standard version and a specialized Cyber version for security work. The company is offering introductory pricing through year-end but shows no sign of releasing the promised Gemini 3.5 Pro.

• Google is shipping Flash models at an accelerating pace (three releases in six weeks) while the higher-tier Pro model remains stuck at early 2026 versions
• Gemini 3.8 Flash comes in two flavors: a general "workhorse" model and Gemini 3.8 Flash Cyber, tuned specifically for vulnerability detection
• Introductory pricing is $0.75/$3.75 per million input/output tokens (dropping to $1.50/$7.50 after year-end), matching aggressive price cuts from competitors to retain customer adoption

Google’s Gemini macOS app runs on Apple Silicon and sits in your menu bar, ready with a global shortcut (Option + Space) for instant AI assistance. It can share your active window for context-aware answers, sync chat history across devices, and offers tools for image and video creation.

• Gemini's new native macOS app only works on Apple Silicon running macOS Sequoia 15.0+, leaving Intel Macs unsupported
• Global shortcuts (Option+Space and Option+Shift+Space) let you summon Gemini for quick chat or full window access from anywhere
• With Accessibility permissions enabled, Gemini can read your active window's content to give context-aware help on code, spreadsheets, or documents
• It integrates Nano Banana for image generation and Veo for video creation, plus syncs chat history and memory across devices via your Google account

Chrome now lets you save reusable Gemini prompts as “Skills” for one-click access instead of retyping or copy-pasting each time. Saved Skills sync across devices when you’re signed in, and you trigger them with “/” or the plus button in Gemini. They still require confirmation for actions like messaging or calendar entries.

• Chrome's Gemini now lets you save reusable prompts as "Skills," triggered via "/" or the "+" button instead of retyping or pasting them each time
• Skills sync across desktop devices when signed into Chrome
• Skills can operate across multiple open tabs at once, useful for tasks like comparing prices or aggregating research
• Actions like sending messages or adding calendar events still require user confirmation, keeping the same security checks as regular Gemini prompts

Google has released Veo 3.1 Lite, a budget-friendly video generation model that allows developers to create high-volume applications at over 50% less cost than Veo 3.1 Fast, while maintaining the same speed. The model supports Text-to-Video and Image-to-Video features, and is accessible through the Gemini API and Google AI Studio.

• Veo 3.1 Lite costs over 50% less than Veo 3.1 Fast while matching its speed
• Supports Text-to-Video and Image-to-Video in 16:9 or 9:16 up to 1080p, with 4, 6, or 8 second durations priced by length
• Google is also cutting prices on Veo 3.1 Fast alongside this launch
• Available now via Gemini API and Google AI Studio for paid tier users

Apple is set to enhance Siri with Gemini, allowing for independent finetuning and improved emotional support responses. The partnership with Google will ensure that user data remains private, and the Gemini-powered Siri aims to provide more accurate answers and better handle complex queries. A gradual rollout of these features is expected, with some launching this spring.

• Apple can independently fine-tune Gemini rather than using Google's stock model, keeping responses on-brand and keeping user data off Google's servers via on-device processing and Private Cloud Compute.
• The upgraded Siri will give direct answers instead of link lists, handle emotionally sensitive conversations with more nuance, and merge command-based and AI-based query processing to better infer ambiguous user intent.
• Rollout is staggered: some features arrive as soon as this spring, while more advanced capabilities like conversation memory and calendar-based proactive suggestions are expected to debut at WWDC in June.

Google has launched its powerful Gemini AI model, which has outperformed competitors, including OpenAI's ChatGPT, to become the leading AI chatbot. The company's extensive investment in research and hardware development has enabled it to protect its search business amidst the growing popularity of chatbots.

• Google's Gemini model has overtaken ChatGPT to become the top-ranked AI chatbot
• Years of heavy investment in in-house AI research and custom hardware (TPUs) let Google catch up after appearing to lag OpenAI
• That infrastructure edge is also helping Google defend its core search business against the threat posed by chatbots

Users in an organization must be assigned licenses to use Gemini Code Assist Standard and Enterprise, with options for automatic or manual assignment. License management requires specific IAM roles and can be performed through the Google Cloud console or API. Administrators can also track license usage and adjust the number of licenses as needed.

• Automatic license assignment is the default, letting users get licensed simply by accessing Gemini Code Assist in a supported IDE
• Managing licenses requires specific IAM roles like Billing Account Administrator or Consumer Procurement Order Administrator
• Admins can switch to manual assignment for granular control, including assigning/removing licenses per user
• Inactivity periods can be configured to automatically unassign unused licenses for reallocation