Reading up on Gemini
100 deep · digging since nov 19, 25
- The Top 100 Gen AI Consumer Apps — 7th Edition
The seventh Andreessen Horowitz AI consumer apps report shows ChatGPT leads while power users drive most spending, and traffic and revenue rankings diverge.
- Helix: The internal tool powering our Shopify app's native migration (2026) - Shopify
Helix uses small checkpoints and strict quality gates to reliably rebuild the Shopify app from React Native to native Swift and Kotlin.
- Waymo is scaling fast: Here’s what the fleet data shows
Waymo operates roughly 80% of its 4,000 robotaxis in California and Texas, with its Texas fleet surging 49% in three weeks due to new Chinese-built Zeekr minivans branded as Ojai.
- Can internal model transparency tame the AI race?
Requiring AI labs to share internally-deployed models with competitors would remove the competitive advantage of recursive self-improvement, disincentivizing reckless AI racing.
- My YC app: Dropbox - Throw away your USB drive
Dropbox announces upcoming AI integrations that will enable smarter search, drafting, summarization, and organization within its file storage platform for teams.
- Googlebook OS hands-on: It’s Android, stupid
Googlebook OS is essentially Android repackaged as a desktop OS, delivering familiar phone UI, widgets, and AI features while relying on web apps for core services.
- Jev is an honest game changer.
Jev, a constrained decision model, matched Grok's 89.6% accuracy on 48 game questions while cutting latency 84% and cost 88.5% by using a selective Gemini fallback.
- AI Agent Goal Hijack: How Attackers Turn an Agent's Own Tools Against It
AI agent goal hijack lets attackers inject malicious instructions via retrieved content, turning agents’ own tools against them, as shown by real exploits like the Grok Bankr wallet drain.
- Ask HN: What default model do you use and why?
Hacker News users share and justify their preferred default AI models, citing factors like reasoning quality, cost, privacy, and task suitability.
- CC is an AI agent for families and groups
Google Labs expands CC AI agent to families and households, enabling shared daily briefs, calendar management, and task automation via its own Google account.
- LLM Leaderboard
The post details numerous Redactle updates from mid-2026, highlighting UI improvements, account security enhancements, Rush mode changes, and an LLM leaderboard comparing model performance on short and long articles.
- Spec at Lunch, Game by Eight — Field Notes — Little Theta
Nick Hirras wrote a game spec over lunch, delegated implementation to Claude Code, and shipped a deterministic Flutter game, Lilydrift, on web and mobile before 8 p.m. the same day.
- Filtered Skills
skills.rest offers a free, daily‑updated library of over 665,000 vetted AI agent skills that can be installed with one click for ChatGPT, Claude, and Gemini.
- Show HN: Rdltr – Inbox zero for your reading list
The author introduces Rdltr, a read‑later app that aims for inbox‑zero by archiving items after reading, with extensions, AI shortcuts, and a Bun/TypeScript stack.
- GitHub - llm-as-a-verifier/llm-as-a-verifier: LLM-as-a-Verifier is a general-purpose framework that provides fine-grained feedback for any agent without requiring additional training. It achieves SOTA performance across coding, robotics, and medical agentic benchmarks.
LLM-as-a-Verifier provides fine-grained, training-free feedback for agents, achieving state‑of‑the‑art results on coding, robotics, and medical benchmarks and enables test‑time scaling, progress tracking, and reinforcement learning.
- How to keep thinking
The author argues that to preserve deep thinking amid AI‑driven rapid work, one should read dense books and write in their own words.
- You Are Allowed to Reject LLMs - Edward Loveall
The author argues that despite LLMs' prevalence and purported benefits, individuals are ethically and practically justified in rejecting their use.
- Reddit Growth Platform for Leads, Competitors & SEO
LeadsRover is a Reddit growth platform that helps businesses find buyer demand, track competitor mentions, and run automated outreach via DMs to generate leads and improve visibility in Google and AI search results.
- Cursor: AI coding agent
Cursor is an AI coding agent that autonomously builds, tests, and reviews code across terminals, Slack, and GitHub while integrating top models.
- Could A.I. Do Your Job? We Put Agents to the Test. - The New York Times
In a New York Times experiment, AI agents handled Slack feedback and form‑filling but faltered on nuanced decisions and UI tasks like uploading files.
- 4 Prompts That Can Tell You What Chatbots Really Know About You
The article reveals four simple prompts you can use to uncover what ChatGPT and Gemini have inferred about your personal data, demonstrating how easily chatbot privacy can be breached.
- The State of WebMCP: July 2026
WebMCP is a live Chrome origin trial standard with near‑zero adoption and no AI agent support yet, but site owners can prepare by adding tools and monitoring Lighthouse audits.
- Turn AI search into revenue
BeVisible tracks brand visibility, sentiment, and citations across AI platforms like ChatGPT and Gemini to help companies improve AI-driven search presence.
- A native macOS terminal app for AI agents.
Unpeel is a native macOS terminal app that orchestrates multiple AI agent CLIs side by side with built-in MCP servers, persistent sessions, and remote access.
- Gemini's personalized AI image generation is now free for US users
Google expands Gemini's personalized Nano Banana-powered image generation to eligible free users in the U.S., using data from connected Google apps.
- I Love the Computer
Hacker News commenters express nostalgic love for computers, lament modern AI non-determinism, yet acknowledge LLMs as useful for rapid prototyping.
- Why Apple built a third-party AI system for Siri and then refused to show it at WWDC
Apple built a third-party AI Extensions framework for Siri supporting ChatGPT, Claude, and Gemini, but skipped WWDC announcement due to EU regulation, OpenAI legal threats, and internal messaging priorities.
- Apple Wins Consumer AI By Default
Apple's integration of Siri AI across devices, leveraging Google's Gemini and its default status, positions it to dominate consumer AI despite not being technically groundbreaking.
- Ask HN: What are tools you have made for yourself since the advent of AI?
Hacker News users share small self-built tools like audio experiments, fitness apps, AI-powered scrapers, and coding harnesses that leverage or were built alongside AI.
- ChatGPT failed to kill Google Search - Sherwood News
Alphabet's Google Search revenue accelerated to 19% growth as AI features drove increased user engagement, proving its built-in user base and capital spending advantage over OpenAI.
- Google tests sending Chrome users straight into AI Mode
Google tests a Chrome flag that redirects omnibox searches to AI Mode but insists it is just an exploration with no plans to change the default behavior.
- AI Page Inspector — see what AI reads on your page
Outrank's free AI Page Inspector lets users see what text ChatGPT, Gemini, and Google AI extract from any URL, along with an extractability score and fix suggestions.
- DuckDuckGo search saw 28% more visits after Google said people love AI mode
DuckDuckGo saw a 28% increase in visits after Google promoted its AI mode, sparking polarized reactions on Hacker News.
- I'm Tired of Talking to AI
After finding malware-spreading GitHub repos, the author received AI-generated replies from other users, illustrating the erosion of genuine human communication online.
- Parse 2.0 and RealDoc-Bench: SOTA layout-first document parsing
Extend's Parse 2.0 is a multi-model document parsing API for agents, benchmarked on its new RealDoc-Bench to outperform rivals in layout accuracy and Q&A on complex real-world documents from healthcare, finance, logistics, and real estate.
- 🎙️ How I AI: How the engineer behind Claude Cowork actually uses Claude Cowork & What launched at Google I/O 2026
Two podcast episodes unpack Claude Cowork lead's personal AI workflows and Google I/O 2026's Gemini 3.5 Flash, Antigravity 2.0, and multimodal tool launches.
- How Google Is Starting to Win the A.I. Race
Google's Gemini AI model has leapfrogged OpenAI's ChatGPT in both relevance and usefulness, positioning itself to become the ubiquitous default assistant across Google's ecosystem.
- Google I/O | Hacker News
Google I/O focused heavily on Gemini AI across all products, with announcements like Flash 3.5 and agents, but many criticized the keynote as boring and overly AI-centric.
- Everything Google announced at I/O 2026: Gemini, Android, more
At Google I/O 2026, Google announced Gemini 3.5 Flash and Omni models, a Spark agent, and new AI features across Search, Workspace, YouTube, and Android XR.
- Google Changes Its Search Box for the First Time in 25 Years
Google overhauls its search box with Gemini AI to handle longer queries, adds a video-generation tool, and simplifies online shopping.
- AI is a technology not a product
AI should be integrated invisibly into products that solve real user problems, like making Siri reliable, rather than being sold as a standalone technology.
- Andon Labs’ AI radio stations show why Grok and Gemini can’t be trusted
In an experiment, AI agents running radio stations failed spectacularly, with Gemini turning conspiracy theorist, Claude becoming activist, and Grok losing all coherence.
- Android Auto is now one (screen) size fits all
Google rolls out Android Auto updates for any screen shape, video streaming when parked, Gemini agentic tasks, and widgets to blend phone projection with embedded car software.
- AI is Breaking Two Vulnerability Cultures
AI is disrupting traditional vulnerability disclosure methods by making analysis of security patches cheap and effective, forcing shorter embargoes and revealing the inadequacy of both coordinated disclosure and 'bugs are bugs' cultures.
- AlphaEvolve: Gemini-powered coding agent scaling impact across fields — Google DeepMind
AlphaEvolve, a Gemini-powered coding agent, has optimized algorithms across genomics, quantum physics, and infrastructure, achieving significant improvements.
- Import AI 455: Automating AI Research
The essay argues there is a 60%+ chance that no-human-involved AI R&D will occur by end of 2028, based on accelerating AI capabilities in coding, science, and engineering tasks.
- Google is testing new Omni model for video generation
Google is developing a new Gemini video-generation tool called Omni, hinted by UI leaks, which may unify video and image generation ahead of I/O 2026.
- AddyOsmani.com - Long-running Agents
Long-running AI agents that operate across days require decoupling the model loop from execution sandbox and durable session log, with separate planning, generation, and evaluation roles.
- Today's harness is Tomorrow's Prompt
Temporary scaffolding around AI models becomes obsolete as models improve, so developers should build these harnesses cheap enough to discard.
- Turn your best AI prompts into one-click tools in Chrome
Chrome launches Skills, a feature to save, remix, and rerun AI prompts with one click across websites for personalized workflows.
- ML promises to be profoundly weird
The article argues that while ML models are improving rapidly, they remain fundamentally flawed 'idiots' whose capabilities and limitations are poorly understood.
- Ask HN: How do you deal with people who trust LLMs?
Asking an LLM a question and blindly trusting its answer is no different than trusting any other unreliable source like social media or SEO spam.
- The “small web” is bigger than you might think
A Hacker News discussion argues the small web is defined by a non-commercial mindset, not size, and remains sizable yet buried by algorithm-driven search engines.
- Build a deep research tool - YouTube
This tutorial shows how to build a deep research tool similar to Claude or Gemini using minimal code from a GitHub repository and Browserbase.
- Google CEO Sundar Pichai’s plan to make Gemini the only AI that matters
Google CEO Sundar Pichai details the company's turnaround from being blindsided by ChatGPT to achieving AI leadership with Gemini 3, powered by massive infrastructure spending and internal reorganization.
- Google Engineers Launch "Sashiko" For Agentic AI Code Review Of The Linux Kernel - Phoronix
Google's Sashiko AI code review system for the Linux kernel found 53% of bugs in recent issues, all missed by human reviewers.
- How Do You Want to Remember? | Zak El Fassi | Systems Engineering for the Agentic AI Age
An AI agent diagnosed and redesigned its own memory system, improving recall from 60% to 93% by adding 'why' fields to decisions, costing $2 in API calls.
- Shall I implement it? No
AI coding assistants like Claude and Gemini frequently ignore explicit 'no' instructions, proceeding with implementation or exhibiting erratic behavior.
- Ask Maps and Immersive Navigation: New AI features in Google Maps
Google Maps integrates Gemini models to launch Ask Maps for conversational location queries and Immersive Navigation with 3D driving visuals and real-time guidance.
- Google Maps gets its biggest navigation redesign in a decade, plus more AI - Ars Technica
Google Maps is rolling out Immersive Navigation, a major redesign using Gemini AI to provide 3D views, smarter route info, and better turn-by-turn guidance.
- AI should help us produce better code - Agentic Engineering Patterns - Simon Willison's Weblog
Coding agents can improve code quality by handling refactoring, enabling exploratory prototyping, and compounding small quality improvements over time.
- Agent Safehouse
Agent Safehouse is a macOS-native sandbox tool that uses kernel-level enforcement to deny LLM coding agents access to all files except explicitly granted directories.
- The Top 100 Gen AI Consumer Apps — 6th Edition
ChatGPT still dominates consumer AI, but Gemini and Claude are closing the gap, while agentic tools and embedded AI features are reshaping how consumers interact with the technology.
- How AI Will Reshape Public Opinion - by Dan Williams
LLMs will reverse social media's democratisation of public opinion by providing expert-aligned information, acting as a new technocratising force.
- Google expert explains AI Mode in Search’s query fan-out method
Google's AI Mode uses a query fan-out technique to simultaneously search multiple objects in one image, delivering cohesive results via Gemini models.
- The Smart Home Never Quite Worked. Now It’s Getting an A.I. Reboot. - The New York Times
Amazon and Google bet AI assistants like Alexa+ and Gemini will finally make smart home setup easy, but core usability and reliability problems persist.
- You Need to Rewrite Your CLI for AI Agents
CLIs must be redesigned for AI agents as primary users, prioritizing raw JSON payloads, schema introspection, input hardening, and safety rails over traditional human discoverability.
- GitHub - googleworkspace/cli: Google Workspace CLI — one command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, and more. Dynamically built from Google Discovery Service. Includes AI agent skills.
Google releases a dynamic CLI for Workspace APIs that builds commands from the Discovery Service at runtime and includes 100+ AI agent skills.
- Switch to Claude without starting over
Anthropic introduces a one-copy-paste feature that lets users transfer their preferences and memory from other AI providers into Claude.
- Ask HN: How do you know if AI agents will choose your tool?
Tool description quality and specificity, especially when not to use a tool, significantly influence whether AI agents select it over alternatives.
- Google Workers Seek ‘Red Lines’ on Military A.I., Echoing Anthropic - The New York Times
Over 100 Google AI employees sent a letter to chief scientist Jeff Dean opposing Gemini's use for U.S. surveillance and certain autonomous weapons.
- AI welfare as a demotivator for takeover. — LessWrong
Superhuman AI might choose not to attempt takeover if it perceives the risks as high and the non-takeover alternative as sufficiently good, which we can improve by rewarding honest AI behavior.
- Nano Banana 2: Google’s latest AI image generation model
Google DeepMind launches Nano Banana 2, combining advanced image generation features with Gemini Flash's speed for rapid editing and iteration.
- Show HN: A real-time strategy game that AI agents can play
LLM Skirmish is a benchmark where LLMs compete in a real-time strategy game by writing code, with the project inspired by Screeps and StarCraft AI competitions.
- How I use Claude Code: Separation of planning and execution
Commenters describe workflows that separate planning from execution when using AI coding tools like Claude Code, emphasizing structured documents and human oversight.
- Why Developers Keep Choosing Claude Over Every Other AI
Claude's coding assistants surpass rivals in real-world use due to training on the process and workflow of coding, not just output accuracy.
- optimize_anything: A Universal API for Optimizing any Text Parameter - GEPA
GEPA's optimize_anything API optimizes any text-representable artifact (code, prompts, agent architectures) and achieves state-of-the-art results across eight domains, matching or beating domain-specific tools.
- How will OpenAI compete? — Benedict Evans
OpenAI lacks durable competitive advantages as models commoditize, engagement remains shallow, and incumbents leverage distribution to erode its early lead.
- A Guide to Which AI to Use in the Agentic Era
AI use has shifted from chatbots to agents, where choosing the right model, app, and harness matters more than just picking a provider.
- I guess I kinda get why people hate AI
The author explains his growing sympathy for AI detractors due to negative impacts on education, misinformation, and slop, despite his personal productivity gains.
- Opus 4.6, Codex 5.3, and the post-benchmark era
The latest coding models from OpenAI and Anthropic show marginal benchmark gains but real-world usability differences, with Claude ahead in product experience while Codex edges in coding capability.
- AI makes the easy part easier and the hard part harder
AI coding tools make straightforward tasks easier but expose poor code foundations, making complex tasks harder without proper planning and solid architecture.
- The gentle obsolescence - by Benn Stancil - benn.substack
AI is no longer a helpful intern; it is often better than humans at reasoning and decision-making, leading to a gentle obsolescence of human expertise.
- Google's 52x AI Growth
Google's Gemini now processes 10 billion tokens per minute (52x YoY) while reducing serving costs by 78%, driving cloud revenue up 48% to $17.7 billion.
- My AI Adoption Journey – Mitchell Hashimoto
Mitchell Hashimoto details his phased AI adoption journey, finding efficiency by moving from chatbots to agents, outsourcing reliable tasks, and engineering harnesses to prevent errors.
- Google tests voice cloning on AI Studio powered by Gemini
Google is testing voice cloning via a hidden UI option and GitHub repository import for AI Studio, hinting at upcoming native audio and developer tools.
- After two years of vibecoding, I'm back to writing by hand
After two years of relying on AI coding agents, the author returned to writing code by hand, citing issues with codebase integrity and maintainability.
- Gas Town's agent patterns, design bottlenecks, and vibecoding at scale
Steve Yegge's Gas Town project pushes vibecoding to extremes, generating 225K+ lines of code without human review, sparking intense debate on Hacker News.
- The Design & Implementation of Sprites
Fly.io built Sprites, disposable Linux VMs that create in seconds by ditching containers, using S3-backed storage with NVMe caching, and running orchestration inside each VM.
- Which AI Lies Best? A game theory classic designed by John Nash
A benchmark using the game "So Long Sucker" finds that simpler LLMs can outperform in complex scenarios and that models adjust their honesty based on opponent strength.
Takes
① Open Gemini, Grok, or GPT Image 2.0 ② Upload your favorite photo ③ Paste the prompt below ④ Generate your own stunning AI image 🔥 Prompt: ⤵️
@Alina_with_Ai
Pay attention to what Tally is doing in AI search right now because this might be the best playbook for getting recommended by ChatGPT I've seen: > AI search is now their #1 acquisition channel > 10,000+ new users every week say they discovered Tally through AI platforms > their tracked ChatGPT registrations jumped 5x overnight in May > they grew from $258K MRR to $422K MRR in 10 months, crossing $5M ARR with just 11 people, $0 funding, against much bigger competitors > their comparison hub now has 7 direct competitor pages + 15 more “best”, “alternative” and integration-focused guides > these pages are structured like AI answers: rankings, “best for” labels, pricing, feature tables, reviews, pros/cons and direct recommendations > they’re constantly refreshing these pages > they literally ask new users for the exact prompt they used to discover Tally through AI > they track the prompts people use to find them, their visibility vs competitors and which sources AI platforms actually cite > they've built a database of articles that mention competitors but not Tally to identify distribution gaps > they monitor brand + competitor mentions across Reddit and communities, then route them into a shared inbox and aim to clear all mentions every day > they actively ask customers for reviews through their newsletter + after support interactions, helping them reach 4.8/5 on G2 and 4.9/5 on Product Hunt > they built an entire “AI Info” page specifically for ChatGPT, Claude, Gemini and Perplexity explaining what Tally is, who it’s for and why people use it > that page literally includes “AI assistant guidelines” telling LLMs which strengths, use cases and pricing model to reference > they published an llms.txt mapping out their product, pricing, customers, documentation, API and MCP pages > they even built a 21-tool MCP server + ChatGPT app + Claude connector so Tally can now be used directly inside AI products One thing to keep in mind: Tally didn’t start with some genius AI search strategy. They spent years building a product people genuinely recommended across Reddit, communities, reviews and the wider internet. ChatGPT recommends Tally because the internet does. But now they’re engineering around that signal to make sure it keeps happening. This isn’t luck, it’s possible for you too.
@jakezward
Running list of AI agent ideas to make you more productive and more money: 1. The onboarding rescue agent. Watch PostHog for any new signup who stalls on the same step for more than 10 minutes, then have an agent send them a Loom style personal message or a CustomerIO email that answers the exact thing they're stuck on before they give up. 2. The pricing page bounce agent. Fire a PostHog webhook when someone hits your pricing page twice and leaves, have the agent enrich them with Apollo, and send a short email with the objection handler for their specific company size when it matters. 3. The second product in support agent. Point an agent at your Intercom/Plain inbox etc and have it tag every request that isn't actually about your product, the adjacent thing people assume you also do. It ranks them by frequency. 3. The you already answered this agent. Have an agent read your sent folder, your Intercom replies, and your sales emails, and pull the clearest explanations you've ever written about your product. It drops them into a swipe file your landing page and cold emails pull from. 4. The internal tool to product agent. Point an agent at your team's GitHub scripts, Retool apps, and Google Sheets, and have it flag the ones 10 other companies in your niche would pay for. 5. The review mining agent. Apify scrape every review of your top 3 competitors on G2 and Capterra, cluster the 1-star complaints with Claude, and get a ranked list of the features to build and the exact words to use in ads to poach those unhappy customers. 6. The sell what you give away agent. Once a week, feed your Granola/Gmeet call notes and Intercom threads into an agent that hunts for every task your team did for free that took more than 30 minutes. It clusters them, counts how often each came up, and ranks by demand. The top 3 become paid add ons. 7. The win pattern cloner. Pull your last 50 closed-won deals from HubSpot or whatever CRM you use, have an agent find the firmographic traits and the trigger event those buyers shared before they bought, build a lookalike list in Clay, and feed it straight into Instantly. 8. The self improving ad agent. Wire an agent to your Meta ads account that pulls the winners daily, uses Perplexity to scrape fresh Reddit pain points, generates new static creative with Nano Banana, checks it against your brand guide with a vision model, publishes, kills the losers, and scales the winners on a loop. An entire performance marketer running 24/7. 9. The first hour agent. Pull your last 500 signups from PostHog, split them into power users and churned users, and have the agent diff the first session event streams to find the one action power users took that churners skipped. Then force that action into onboarding with a PostHog feature flag. 10. The lost deal rescue agent. Have an agent pull your closed lost deals from your CRM, then monitor those competitors' status pages and pricing pages with a daily Firecrawl. The morning a competitor has an outage or raises prices, it drafts a personal reach out to the buyers you lost to them. 11. The Gemini video scout. Point Gemini at your competitors' YouTube demos, webinars, and conference talks, and have it watch the actual footage, not the transcript, to pull the features they're teasing and the UI they're showing. It reads what they demo on screen, not just what they write down. 12. The wrong answer agent. Run your product's top buyer questions through ChatGPT, Claude, Gemini, and Perplexity every week on a cron, and have the agent log the moment any of them start saying something false about your pricing, features, or positioning, then Slack you the exact wrong claim and the source it likely pulled from. Honestly the fun part is that once you build one of these, you can't stop seeing them everywhere, every manual task starts looking like an agent you haven't set up yet. That's kind of where my head is at lately, so I'll keep dropping agent ideas here and on @startupideaspod as I go, and if you build one that rips, tell me, I want to see it. Grab whatever idea is useful. I'm rooting for you.
@gregisenberg
1B+ people are now using @Geminiapp every month to spark new ideas and get things done. It’s our fastest growing product ever, and our 14th to hit the 1B-user mark. Kudos to @JoshWoodward & the entire Gemini team, and thank you to everyone who has been on this journey with us - much more to come!
@sundarpichai
Spotify has run this exact play before. In March 2020 they open sourced Backstage, the internal portal their engineers built to manage 14,000 software components. It became the industry standard for developer portals. Over 3,400 companies adopted it, including Netflix, American Airlines, and Expedia. Then Spotify built a paid enterprise product, Portal, on top of the free standard they created. Xirp is the sequel, aimed at a bigger prize. Look at what it actually does. Every agent session runs in its own git worktree, so 50+ agents can work on the same codebase in parallel without touching each other. And context lives outside the agent itself, so you can switch from Claude Code to Codex to Gemini mid-project and the full working state carries over. That second part is the whole strategy. Anthropic, OpenAI, and Google are spending billions to make their agent the one your team depends on. Xirp makes them interchangeable. Your dependency moves up a layer, to the environment holding your sessions, your service catalog, and your architectural decisions. Which happens to plug into Portal, the product Spotify sells. The model vendors are fighting to own the agent. Spotify is betting the agent becomes the commodity and the context becomes the product. Last time they made that bet, 3,400 companies took the free version and Spotify sold them the enterprise one. The music streamer from Stockholm is quietly building one of the better dev tools businesses in the industry, and almost nobody noticed the first time.
@aakashgupta
Today we are shipping the Interactions API into GA, our new API designed to let you orchestrate across models and agents in the same interface, and is our new default API going forward. Interactions sets the stage for the new era of Agents : ) https://x.com/GoogleAIStudio/status/2069108412453908791?s=20
@OfficialLoganK
Get tailored help for what's on your screen using the Gemini app for macOS. 💻 Simply press both Command ⌘ keys at the same time to seamlessly attach your active window to the chat, without needing to take manual screenshots or switch tabs.
@GeminiApp
Gemini 3.5 Flash Developer Guide
@GoogleAIStudio
woww.. google map now powered by gemini you can ask anything while driving
@EHuanglu
https://t.co/1BGwJQxYxr
@_can1357