API and agent development
Gemini API development, including tool orchestration, function calling, grounding, skills, SDK support, and managed agent infrastructure.
26%
Best tweets about Google Gemini
Find the best tweets about Google Gemini, covering new models, multimodal features, developer tools, benchmarks, and practical workflows. Updated weekly.
Hands-on Gemini use, product releases, research, and comparisons backed by specific examples.
Original Xholic analysis
The supplied conversation is predominantly supportive (80%) and positive (82%), with API and agent development (26%), Gemini CLI workflows (24%), and Live voice/multimodal interaction (24%) the largest themes. Release announcements are the dominant format, while a smaller set of hands-on posts reports CLI reliability and competitive-model concerns.
82% of posts
All-time engagement
72% of posts
Published in 90 days
Conversation map
Gemini API development, including tool orchestration, function calling, grounding, skills, SDK support, and managed agent infrastructure.
26%
Gemini CLI workflows, releases, extensions, subagents, coding use cases, privacy configuration, and developer-experience comparisons.
24%
Gemini Live and Live API advances in real-time voice, audio reasoning, interruption handling, multilingual interaction, and Search Live.
24%
Gemini model launches, capabilities, benchmarks, pricing, and comparative assessments across Pro, Flash, Flash-Lite, and embeddings.
18%
Consumer Gemini integrations and practical productivity use in Chrome, NotebookLM, Search, Google apps, and connected personal context.
16%
Image, video, and creative-media generation workflows using Gemini image tools, Nano Banana, Omni Flash, and Google Flow.
8%
Hands-on Gemini research and decision-support workflows, including deep research, source-backed notebooks, and pitch or strategy analysis.
8%
Specialized Gemini applications in robotics, text-to-speech, healthcare, education, regional languages, and enterprise deployment.
8%
Tone and stance
Performance benchmark
Posts with media make up 76% of this collection. Their median all-time score is 26.7, compared with 3.02 for text-only posts.
Format mix
Consensus and debate
Shared view
API coverage centers on agent-oriented development. Posts describe combining built-in toolsβincluding Search, Maps, File Search or URL Contextβwith custom functions in a call, and highlight Managed Agents as a way to build agentic products.
Shared view
Posts about Gemini 3.1 Flash Live emphasize faster responses, twice-longer conversation context, tone and interruption handling, and audio reasoning. The model is described as powering Gemini Live, with Live API preview availability for developers.
Shared view
Gemini CLI posts cover practical coding workflows and configuration: one demonstration shows 3.1 Pro reasoning across Docs, code and local files before implementing a fix; other updates cover Flash-Lite model selection and extension management.
Open debate
CLI assessments vary. One Gemini CLI post demonstrates multi-source reasoning and a live fix, while two user posts report crashes, lost context, unreliable multi-file work, or a slower calendar-event attempt than Claude Code. These are individual hands-on reports, not aggregate reliability measurements.
Open debate
Two critical comparison posts argue that Gemini trails rivals in areas such as agentic loops, instruction following, image generation, pricing, or latency. By contrast, Googleβs 3.1 Pro launch post reports 77.1% on ARC-AGI-2 and says the model is rolling out across consumer, developer and enterprise products. The supplied tweets present competing claims rather than an independent comparison.
What performs
The analytics identify five all-time-score outliers: the corporate-headshot tutorial (9,918.57), the 3.1 Pro launch (565.49), the Gemini Live upgrade (481.25), another Live upgrade post (222.37), and AI Studio/Gemini API updates (219.2).
Announcements account for 36 of 50 tweets (72%) and have a reported median all-time score of 26.74. Separately, media posts have a higher reported median all-time score than text-only posts (26.74 versus 3.02). The cited launch and Live posts are examples of the announcement format.
Creative posts provide specific workflows: a prompt-based corporate headshot in Gemini, phone-footage VFX directed in Google Flow with Omni Flash, and video-reference edits that preserve character and scene consistency.
Statistical standouts
Creator landscape
The five most represented creators account for 20% of the selected posts.
1. Philipp Schmid
@_philschmid
2 posts
2. AshutoshShrivastava
@ai_for_success
2 posts
3. Gemini CLI
@geminicli
2 posts
4. Glenn Gabe
@glenngabe
2 posts
5. Google AI Developers
@googleaidevs
2 posts
6. Jerrod Lew
@jerrod_lew
2 posts
Philipp Schmidβs two included posts focus on implementation details: API orchestration across built-in and custom tools, and Gemma 4 access through the same Google GenAI SDK patterns used for Gemini.
The Gemini CLI account combines product instructions with workflow examples, showing a Flash-Lite model flag and a 3.1 Pro example spanning local and cloud sources before a fix is implemented.
Logan Kilpatrickβs included posts connect model and platform updates: Gemini 3.5 Flash, Managed Agents, native Android app creation in AI Studio, Workspace integrations, and built-in tools used with function calling.
Themes, sentiment, stance, and post format are classified per tweet. All counts, shares, medians, creator concentration, freshness, and performance comparisons are then calculated directly from the published snapshot.
Xholic's all-time score compares engagement while accounting for reach, post age, and creator consistency. It is used for relative comparisons within this collection.
This report analyzes the exact 50-post snapshot shown below. AI identifies editorial categories and drafts explanations; all statistics are calculated from the snapshot, and every narrative claim is checked against cited posts before publication.
Best Google Gemini tweets
Ranked 01β50
@shushant_l Β·
Here's how to create your classic corporate headshot: 1. Go to Google Gemini 2. Select 'Pro' 3. Select 'Create image' tool 4. Add your image 5. Add this prompt: cinematic, ultra-realistic corporate headshot of the same person from the reference image. Preserve exact facial features, skin tone, and identity. Style: classic professional corporate portrait. The subject is wearing a tailored dark suit, crisp white shirt, and subtle tie. Lighting is soft, directional studio lighting with gentle shadows for depth. Background is minimal, blurred, and neutral-toned (dark grey or beige gradient). Shot on a high-end full-frame camera with 85mm lens, shallow depth of field, sharp focus on the eyes, natural skin texture, and high dynamic range. Expression is confident, calm, and approachable. Ultra-detailed, 8K quality, realistic color grading 6. Submit 7. AI generates in seconds
@sundarpichai Β·
Gemini 3.1 Pro is here. Hitting 77.1% on ARC-AGI-2, itβs a step forward in core reasoning (more than 2x 3 Pro). With a more capable baseline, itβs great for super complex tasks like visualizing difficult concepts, synthesizing data into a single view, or bringing creative projects to life. Weβre shipping 3.1 Pro across our consumer and developer products to bring this underlying leap in intelligence to your everyday applications right away. Rolling out now to: - Developers in preview via the Gemini API in @GoogleAIStudio - Enterprises in Vertex AI and Gemini Enterprise - Everyone through the @Geminiapp and @NotebookLM
@GeminiApp Β·
Gemini Live just got its biggest upgrade yet, powered by Gemini 3.1 Flash Live. β’Faster responses with fewer awkward pauses β’Smarter & able to follow along 2x longer conversations, so you can stay in the flow β’Dynamically adjusts its answer lengths & tone to match the moment
@joshwoodward Β·
New in Gemini: Live's biggest upgrade yet Faster responses. Smarter responses. More EQ. More linguistic range. 2x longer context. Android and iOS, powered by Gemini 3.1 Flash. Enjoy!
@geminicli Β·
Gemini 3.1 Flash-Lite is our most cost-efficient Gemini 3 series model π¦ Folks who are keen to experiment with it in Gemini CLI can do so with an API key and the -m flag. β― gemini -m gemini-3.1-flash-lite-preview Official support for it in /model will be coming soon π
@SriThreePO Β·
Here is Gemini CLIβs January 19th weekly update for v0.25.0 - π½οΈGemini CLI x https://t.co/MTzjXcNvyL course: A free course to take you from installation to advanced use-cases! Code & Create with an Open-Source Agent: https://t.co/1xjj8STsiR - πGemini CLI Extensions: - Pickle Rick π₯: Turn Gemini CLI into a brilliant, arrogant engineer. This extension uses the Ralph Wiggum technique to automate the SDLC. gemini extensions install https://github.βcom/galz10/pickle-rick-extension https://t.co/V5z7UfmbPv - Visa : Empower AI agents to securely browse, shop, and execute purchases, enabling autonomous commerce experiences on behalf of end-users. gemini extensions install https://github.βcom/visa/mcp - πCLI Help Agent: Gemini CLI specific requests are handed off to a new help agent to provide information on what is possible and how to configure your experience. - Terminal Title Agent Status: Terminal title will now show β Ready, β¦ Workingβ¦ or β Action Required depending on agent state. - LLM Edit Correction Control: For faster edits opt-out of automatic LLM-based edit correction by setting tools.disableLLMCorrection to true. - Interactive Shell Hotkey Change: Swapped from ctrl + F to Tab to toggle focus between the input area and the interactive shell. - In CLI Extension Management: Install and uninstall extensions in the CLI via /extensions install|uninstall - Slash Command File Selection: Slash commands now support using @ file selector to reference and insert file paths. π§΅
@googleaidevs Β·
Start building with Gemini Embedding 2, our most capable and first fully multimodal embedding model built on the Gemini architecture. Now available in preview via the Gemini API and in Vertex AI.
@geminicli Β·
Gemini 3.1 Pro comes with SOTA reasoningπ‘ It can be used in Gemini CLI to reason across multiple sources at once: Google Docs, code, local files. See it analyze user feedback and implement a fix live below π§βπ»
@sundarpichai Β·
Gemini 3.1 Flash Live is our highest-quality audio and voice model yet. Voice capabilities have come a long way and are a big part of how we interact with AI to get things done. 3.1 Flash Liveβs improved precision and reasoning make those interactions more natural and intuitive. Available in @GoogleAIStudio through the Gemini Live API in preview.
@_philschmid Β·
We shipped one of the most requested Gemini API features! π₯³ You can now combine built-in tools (Google Search, URL Context,β¦) with your own functions custom in a single API call. Gemini orchestrates everything: π§Β Combine Google Search, Google Maps, File Search or Url Context with custom tools in one API call π Built-in tool context is circulated with signatures. π€ Gemini decides tool order and chains results. π Google Maps is now available for Gemini 3 models. Available natively in the Interactions API and opt-in via generate_content. Learn More below π½
@KanikaBK Β·
GOOGLE JUST RELEASED AN OFFICIAL SKILLS LIBRARY FOR AI AGENTS. AND BUILT IT ON ANTHROPIC'S FORMAT. 13 skills. Free. Works on Claude Code, Cursor, Codex, and Gemini CLI. ONE INSTALL COMMAND gives your AI agent real knowledge of Google Cloud, Firebase, BigQuery, and more. Right now. Here is what is actually going on. Every AI coding tool has the same problem. It knows a lot about general coding but the moment you ask it something specific about deploying to Google Cloud Run or setting up Firebase authentication, it guesses. Sometimes confidently wrong. Sometimes with deprecated methods that stopped working a year ago. Google just fixed that for their entire product suite. They released an official skills library at Google Cloud Next 2026. Not documentation. Not a chatbot. A set of packaged playbooks that you install directly into your AI agent and it immediately knows how to use Google products correctly. β³ Gemini API on Agent Platform β³ BigQuery, Cloud Run, Cloud SQL, Firebase, AlloyDB basics β³ Google Kubernetes Engine setup and management β³ Onboarding to Google Cloud step by step β³ Authentication to Google Cloud done right β³ Well-architected framework skills covering security, reliability, cost optimization, performance, and sustainability One command installs everything. npx skills add google/skills Works with Claude Code, Cursor, Codex, Gemini CLI, and any agent that supports the skills format. Apache 2.0. Free forever. Now here is the part that stopped me. The skills format Google used is not Google's format. It was built and open sourced by Anthropic. Google, one of Anthropic's biggest competitors in AI, just adopted Anthropic's open standard as the official delivery layer for their own products. Same AI. Same prompt. Before installing the skills it recommended deprecated methods. After installing it recommended current best practices with correct configuration. Not because the AI got smarter. Because it finally had the right knowledge. Google spent months writing official playbooks for their products and chose to deliver them in a format that works on every competitor tool simultaneously including Claude Code. I genuinely cannot explain that decision fully. But the skills are free and they work today.
@bridgemindai Β·
Gemini CLI with Gemini 3.1 Pro is one of the worst vibe coding tools on the market. The model itself is a solid baseline. #1 on BridgeBench Hallucination. Decent coding intelligence. But the tooling around it is terrible. Crashes mid-session. Loses context. Can't complete multi-file tasks reliably. I cancelled my $250/month Google AI Ultra plan for a reason. Google has a competitive model wrapped in unusable infrastructure. Claude Code with Claude Opus 4.6 and Codex with GPT 5.4 are years ahead on developer experience. Who else is having problems with Gemini CLI?
@_philschmid Β·
Gemma 4 is now available in the Gemini API and Google AI Studio. UseΒ `gemma-4-26b-a4b-it`Β andΒ `gemma-4-31b-it`Β with the same `google-genai` sdk as Gemini. π Text generation withΒ generate_content . π§ System instruction + Function Calling example. πΌοΈ Image understanding example. π Google Search grounding with source citation.
@testingcatalog Β·
Google is silently rolling out an updated Gemini experience for its mobile apps ahead of Google I/O. Its updated UI for Gemini Live features an interactive "bar" or a dynamic island that reacts to your taps and can wave back. It should get loads of superpowers soon π
@JeffDean Β·
π’ Another exciting step forward today with the launch of Gemini 3.1 Flash Live. It natively understands audio, making it much more capable of handling complex instructions. It leads on ComplexFuncBench, and on Scale AIβs AudioMultiChallenge, demonstrating skill in complex instruction following and long-horizon reasoning amidst the interruptions of real-world audio. That means the model can pick up on nuances like pitch and pace, leading to much more fluid, high-fidelity voice interactions. Itβs now powering Gemini Live and Search Live globally. Huge congrats to the teams that made this possible. β¨ https://t.co/5ayNyrJak1
@bindureddy Β·
Google Gemini's AI Problem - Flash is a good chat model but is WORSE than Grok on agentic loops. Even simple ones - Pro is a legacy model - Veo is too expensive. SeeDance is better - Nanobanan Pro is old. GPT image is better - Flash Lite has high latency, so it's not really very usable TLDR; Google has no leading AI model for core workloads. Chat is fine but Grok and Luna are pretty good as well and follow instructions better
@jerrod_lew Β·
Google Gemini Omni is great for VFX. Film anything on your phone and upload it to Google Flow. Select Omni Flash and insert a prompt to direct what happens in the scene. Try to give as much specific details as you can. Have left the prompt used for this video in the comments!
@_vmlops Β·
GOOGLE DROPPED AN AI AGENT THAT LIVES IN YOUR TERMINAL and it's completely free meet gemini-cli most AI tools make you leave your workflow to use them gemini-cli doesn't it lives where you work the terminal and it doesn't just chat...it acts here's what it does: β«οΈ reads + edits your entire codebase β«οΈ runs shell commands natively β«οΈ fetches web pages in real time β«οΈ grounds answers with google search β«οΈ generates apps from pdfs and images β«οΈ saves and resumes complex sessions β«οΈ plugs into CI/CD scripts non-interactively β«οΈ extends with MCP servers for custom tools the free tier alone is insane: β«οΈ 60 requests/min β«οΈ 1,000 requests/day β«οΈ 1M token context window β«οΈ no api key needed.... just your google account even your github workflow gets smarter: trigger it on PRs for automated code review no setup headaches open source...apache 2.0.. this is what an AI-native terminal experience looks like `npx @google/gemini-cli` π https://t.co/N1YzXAlHPB
@SriThreePO Β·
Here is Gemini CLIβs February 25th weekly update for v0.30.0 - β¨Gemini 3.1: - Over the past week we started rolling out Gemini 3.1. In the coming days, all usage of Gemini 3 will automatically shift to Gemini 3.1, ensuring you have access to our latest and most capable model by default - β¨Gemini 3 by Default: To make it more discoverable, we have removed the previewFeatures requirement for our latest models. Gemini CLI now defaults to Auto (Gemini 3) family and you can continue to choose Auto (Gemini 2.5) - For Gemini Code Assist users your administrator will still need to enable Preview Release Channels for you to access Gemini 3. - πGemini CLI Extensions: - Neo4J: Generate Cypher queries using natural language, and build sophisticated GraphRAG applications within Gemini CLI - gemini extensions install https://github.βcom/neo4j-contrib/mcp-neo4j - Atlassian: Connect Atlassian Rovo MCP Server with Gemini CLI to sync, search, and automate Atlassian apps such Jira, Compass, and Confluence using natural language - gemini extensions install - https://github.βcom/atlassian/atlassian-mcp-server - π±οΈ Enhanced Drag-and-Drop Workflow - Giving you more seamless file handling when you drag and drop. - Cross-Platform Reliability: Dropping files into the CLI is now smoother and more reliable than ever across macOS, Windows, and Linux. - External File Support: You can now drag and drop files from outside your current workspace. To keep things secure, the CLI will explicitly ask for permission before accessing files from external directories. - π€Inline Thinking: Thinking bubbles now support summary and full modes for better visibility into the model's process. - π€Ctrl+z to Suspend - Posix users can now suspend by hitting ctrl+z and take back their terminal. Once you're ready to resume, you can foreground it with the fg command. -β³Default Retention Rates - Chat sessions have a 30 day TTL by default now. A custom retention can be configured via /settings βKeep chat historyβ - π Policy Engine Transition: We are deprecating --allowed-tools and excludeTools in lieu of policy engine in the coming weeks. - πΊοΈ Plan Mode (Experimental): - π§ Sequential Planning: Formalized a new 5-phase sequential planning workflow to enhance agentic execution and strategy.
@mark_k Β·
Google launched Gemini 3.1 Flash Live today, its highest-quality real-time audio model for natural voice conversations. The model powers enhanced Gemini Live experiences and is available in preview through the Live API for developers. Main new capabilities: - Significantly lower latency for smoother dialogue - Improved tone and emotion understanding - Strong performance in noisy environments - Real-time multimodal support for audio and vision - Native interruption handling and barge-in - Expanded language coverage and tool integration The update makes voice AI faster, more reliable, and more human-like for users worldwide.
@jerrod_lew Β·
Create anything with Google Gemini Omni Flash. On Google Flow the new model lets you reference videos to make adjustments and edits. Change the environment, clothes and even add/remove objects all whilst keeping consistency of character and scene.
@ai_for_success Β·
Gemini CLI Update : Google has released subagents for Gemini CLI, allowing the tool to delegate complex and high-volume tasks to specialized expert agents. You can create custom subagents using Markdown and YAML It also Includes built-in agents: generalist, cli_help, and codebase_investigator Video Credit : Google blog
@koraykv Β·
Launched Gemini 3.1 Flash Live. Itβs capable of handling the nuances of live speech, like tone and interruptions, that are critical for real-world interactions. You can experience it on Gemini Live and Search Live!
@alexabelonix Β·
Google DeepMind launched Gemini 3.1 Flash TTS, a text-to-speech model for precise audio control. Its "Audio Tags" feature lets users set vocal style, emotion, and pacing via text. Supporting over 70 languages with native SynthID watermarking, the model is available in preview on the Gemini API and Google AI Studio, rolling out to enterprises on Vertex AI, and integrating into Google Vids for consumers.
@VaibhavSisinty Β·
Google cooked every expensive AI model. Gemini 3.5 flash launched today. it outperforms gemini 3.1 pro, google's own frontier model, on nearly every benchmark. coding, agentic tasks, multimodal reasoning. What it actually does: β Runs autonomously for hours, only stopping when it needs a decision or permission β Executes full coding pipelines start to finish, no babysitting β Manages multi-step research projects on its own β Built an operating system from scratch in google's internal tests The gemini api now ships managed agents too. one call spins up an agent that reasons, uses tools, and runs code in its own isolated linux box. The smart slow model isn't the ceiling anymore. the fast one is.
@RoundtableSpace Β·
Google just launched Managed Agents on the Gemini API. One API call & you get a full agent w/ a remote Linux environment hosted by Google, ready for custom instructions, skills & tools. No infra to set up. Just describe what you want and ship.
@Marie_Haynes Β·
How did I ever live without Gemini in Chrome before? It appeared yesterday and I am finding myself using it all day long: -Help me understand this paper. -Is this a new page? There's no date on it and I can't tell. -Look at this site plus the Ahrefs / GSC tab I have open and give me some quick observations. -Here are the keywords in GSC driving traffic to this page. Find me ones that are getting impressions but the page is not optimized for. Give me specific improvements to make. -I'm on the main blog page. Make me a list of each of the blog posts linked to from here with one url per line. -How the heck do I find out which blog posts are generating revenue from organic search using GA4? For this last one I turned on Gemini Live from the Chrome sidebar and had Gemini walk me through what to do one step at a time what to do. I expect that soon it will be agentic so I can just ask Gemini to do it for me. (Claude can sometimes do this but it was struggling with GA4 today - I can relate actually.) We are moving to an era where Google is not a search engine to help me find information, but moreso an assistant to help me do things.
@ai_for_success Β·
Google has released Gemini Robotics-ER 1.6, a reasoning-first model designed to enhance spatial and physical understanding for autonomous robots. TLDR - Specialized in embodied reasoning, task planning, and success detection - Significant improvements in spatial reasoning tasks like pointing and counting - New instrument reading capability for interpreting industrial gauges and sight glasses - Enhanced multi-view understanding for better reasoning across different camera streams - Integrated agentic vision which combines visual reasoning with code execution - Improved safety features including better adherence to physical constraints and hazard identification - Available now for developers via Gemini API and Google AI Studio Gemini Robotics-ER 1.6 takes cues from multiple camera views to determine when the task "put the blue pen into the black pen holder" is complete. Video credit : Google Blog
@GoogleDevsIN Β·
#GoogleIOConnect India featured announcements across education, health, languages and Cloud to help the ecosystem build AI for India, with India. π©βπ» ATL Saathi for AI skilling π₯ MedGemma open models for healthcare π£οΈ Gemini Live in 25+ Indian languages π Gemini 3.5 Flash for Indian enterprises Learn more: https://t.co/Uw6MQ8ZkjN #BuildWithGemini
@JulianGoldieSEO Β·
Google just linked NotebookLM and Gemini together. And it completely fixes generic AI writing. Most AI sounds like a robot because it guesses the facts. Now you can fix that in three simple steps. First, drop your messy PDFs and notes into NotebookLM. It turns them into a private research library. Second, click the new Cinematic Video Overview button. It automatically builds a short video presentation of your notes. Third, open Google Gemini. Gemini can now read your private NotebookLM library. Ask Gemini to write five emails based only on your notes. You get expert writing with zero generic fluff. It takes ten minutes to set up. Both tools have free versions you can use right now.
@JustinThomasAI Β·
I used Google Gemini's new Deep Research feature to help me with my bull debit spread options strategy. I really like that you can conduct deep research inside a notebook powered by NotebookLM. Each conversation will be saved as a source for later. Gemini used more sources than any other LLM I have used, and I also liked that it separates sources by used in this report, read but not used in this report, and then shows how it thought throughout the entire report. Maybe the best part is being able to take that report and immediately turn it into a web page, infographic, quiz, flashcards, or audio overview. The research was thorough, and what I liked the most was that it did not just agree with my strategy. It actually suggested a new strategy for me, gave me reasons why, and then told me how to implement it. Overall, very pleased.
@suraj_sharma14 Β·
Google Gemini's AI Challenges - Flash is a competent conversational model, yet it underperforms compared to Grok regarding agentic loops, even in simple instances. - Pro is a legacy model. - Veo is cost-prohibitive. SeeDance is superior. - Nanobanan Pro is outdated. GPT image generation is more effective. - Flash Lite exhibits high latency, rendering it significantly less usable. In summary, Google lacks a leading AI model for core workloads. While the chat functionality is adequate, Grok and Luna are also highly effective and demonstrate superior instruction adherence.
@theinformation Β·
Founders need to meticulously prepare for skeptical venture capitalists when looking to raise. In the latest installment of The Gemini Edge, we look at how founders can do just that using Google Gemini to stress-test their investor pitches. By prompting the AI to act as a skeptical venture capitalist, you can prepare for Q&A, identify blind spots and uncover new risks and develop rigorous rebuttals to help you best prepare for your pitch. Supported by @GeminiApp
Watch video
@glenngabe Β·
Also "inherently multilingual" -> Google launches Gemini 3.1 Flash Live, an audio model with improved tonal understanding and lower latency for real-time dialogue, watermarked with SynthID "With the 3.1 Flash Live model under the hood, Gemini Live delivers faster responses compared to the previous model and it can follow the thread of your conversation for twice as long, keeping your train of thought intact during longer brainstorms." "3.1 Flash Live is also inherently multilingual, which enables this weekβs global expansion of Search Live. With this launch, people in more than 200 countries and territories can now have real-time, multimodal conversations with Search in their preferred language." https://t.co/AOtF4RIl32
@apoorv03 Β·
AI Nuggets from Google's Q2 earnings! The big takeaway is Gemini is scaling, Search is now AIβnative via AI Overviews / AI Mode / Gemini, and even generative video is scaling. ...and if you are wondering what's the difference between Gemini, AI Overviews, and AI Mode - you're not alone. I had to "AI overview" that as well lol π Google's AI by the numbers: - Geminiβ―450β―M MAUs, requestsβ―upβ―50β―%β―QoQ -- wow, this seems much larger than I'd have expected. Roughly a third of the of ChatGPT! - AI Overviews is 2 B MAUs and 5% of those click on the "AI Mode" button ~100m MAUs. - Powered by Veo3, Googleβ―Vids at ~1β―M MAUs (short video product) Some other enterprise nuggets: - tokens processed are 980β―T tokensβ―/β―month (2xβ―sinceβ―May) - 9β―M devsβ―&β―85β―k+ enterprises on Gemini (35xβ―YoY)
@glenngabe Β·
Focus on news SEO? Heads-up, I tried it this morning and it's pretty darn good. And you can interrupt it to find out more about a story -> Gemini Live just killed boring news briefs "News summaries in Gemini Live are now deeper and more interactive. Try asking "Whatβs the latest news?" or "Catch me up on tech news" during a Live conversation to get detailed updates. You can even ask follow-up questions to dive deeper into a story." https://t.co/l2JgtwFi84
Google's AI assistant Gemini experienced one of its largest outages to date, affecting users across web, mobile, and desktop platforms worldwide. The disruption lasted for several hours, with users reporting Error 1076 and Error 1099 messages whenever they attempted to submit prompts. Google later confirmed the issue and stated that engineering teams were working to restore services. The incident sparked conversations about the growing dependence on AI tools for work, research, coding, and productivity. As AI becomes deeply integrated into daily workflows, outages like this highlight the importance of infrastructure reliability and resilience across the AI ecosystem. π¦πΌππΏπ°π²: Google Workspace Status Dashboard, TechRadar, Times of India #Google #Gemini #AI #ArtificialIntelligence #TechNews #Innovation #Orbis86
@dansemperepico Β·
Claude Code beat Gemini CLI at creating a Google Calendar event. Since I just installed Gemini CLI, I thought I'd see how well it integrates with other Google stuff. I sent it a prompt with a screenshot of details for an event I wanted it to put into my calendar. It immediately started referencing documentation and working through trying to do it. After about 3 minutes of accepting permission requests, I fired up Claude Code and gave it the same prompt and screenshot. Claude Code did it within 20 seconds. I let Gemini roll on for another couple of minutes and it still hadn't done it so I closed it. Confirms my experience that Gemini's models are amazing but Google's tooling and UX is seriously lagging Anthropic. It's such a shame, but I still think Google can be the winner if they can learn to better integrate Gemini with all their other products into a seamless and cohesive experience.
@JulianGoldieSEO Β·
GEMINI IS NO LONGER JUST A CHATBOT. Google just turned it into a voice assistant, camera tool, image generator, app connector, and video editor inside one conversation. What changed: β Switch between typing and Gemini Live without opening a new screen β Show Gemini something through your camera and ask questions about it β Pull emails, maps, weather, and product comparisons directly into the chat β Turn what your camera sees into a new image using Nano Banana The free upgrades: β Personal Intelligence can create images using context from Gmail, Photos, YouTube, and Search β Nano Banana 2 Light is rolling into Gemini, Search, and Google Photos β Students in selected countries can get Google AI Pro and extra storage free for a limited period The new content workflow: β Generate a still image with Nano Banana 2 Light β Send it to Gemini Omni Flash β Describe the motion, camera angle, or cinematic effect you want β Turn it into a short video without timelines or editing software The real shift is simple: Gemini now sees, listens, creates, edits, and pulls live information without breaking the conversation.
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