Introducing Nano Banana 2, our best image model yet 🍌🍌 It uses Gemini’s understanding of the world and is powered by real-time information and images from web search. That means it can better reflect real-world conditions in high-fidelity. Check out "Window Seat," a demo using Nano Banana 2’s world understanding to generate more accurate views from any window in the world, pulling live local weather info with 2K/4K specs. The precision is mind blowing. Rolling out today as the new default in the @Geminiapp, Search (across 141 countries), and Flow + available in preview via @GoogleAIStudio and Vertex AI. Also available in Google @Antigravity.
More than a billion images generated later, we love seeing what you create with Nano Banana. Today, we’re inviting more people to join in on the fun with the launch of 🍌Nano Banana 2🍌 This state-of-the-art model is exceptionally good at things like: — Creating images that tap into the Gemini model’s real-world knowledge base + are powered by information and images from web search to more accurately render specific landmarks, locations, objects, and beyond — Adapting creative assets for global markets with regionally relevant localization — Dynamically editing aspect ratios and upscaling to 2k and 4k resolutions — Generating multiple cohesive images that fit together in one world, story, or concept
A few small updates today - we've added Moodboards and Personalization to Niji V7. We've released a much better web interface for Personalization. And we are sunsetting web rooms as we work on next-gen collab tools (which should make the whole site feel noticeably faster). Enjoy!
My new app is live and it is exceptionally dumb. Introducing Quipslop, the live game where different models try their best to be funny.
BREAKING: Google Research just dropped the textbook killer. Its called "Learn Your Way" and it uses LearnLM to transform any PDF into 5 personalized learning formats. Students using it scored 78% vs 67% on retention tests. The education revolution is here.
Dylan Field on what actually differentiates you in an agent world: "The more you can sample the possibility space… it gives you something to react to." "You need to be constantly critiquing and thinking about what you like and don’t like." "Going back to taste, if an agent can do it for you… an agent can do it for someone else." "What is different about your setup than others?" @zoink on @tbpn
If you thought your company's edge was "how fast you ship", you're in for a rude awakening. Everyone can ship fast now. Obviously, not everyone can ship tastefully, with quality and restraint in mind. That's the new edge.
Frame․io is falling apart. I wanted something better. Something simple, fast and reliable. I'm excited to introduce lawn․video, an open source video review platform. It flies. This video is not sped up at all. 100 gigs of storage, unlimited seats, $5/month.
Very interested in what the coming era of highly bespoke software might look like. Example from this morning - I've become a bit loosy goosy with my cardio recently so I decided to do a more srs, regimented experiment to try to lower my Resting Heart Rate from 50 -> 45, over experiment duration of 8 weeks. The primary way to do this is to aspire to a certain sum total minute goals in Zone 2 cardio and 1 HIIT/week. 1 hour later I vibe coded this super custom dashboard for this very specific experiment that shows me how I'm tracking. Claude had to reverse engineer the Woodway treadmill cloud API to pull raw data, process, filter, debug it and create a web UI frontend to track the experiment. It wasn't a fully smooth experience and I had to notice and ask to fix bugs e.g. it screwed up metric vs. imperial system units and it screwed up on the calendar matching up days to dates etc. But I still feel like the overall direction is clear: 1) There will never be (and shouldn't be) a specific app on the app store for this kind of thing. I shouldn't have to look for, download and use some kind of a "Cardio experiment tracker", when this thing is ~300 lines of code that an LLM agent will give you in seconds. The idea of an "app store" of a long tail of discrete set of apps you choose from feels somehow wrong and outdated when LLM agents can improvise the app on the spot and just for you. 2) Second, the industry has to reconfigure into a set of services of sensors and actuators with agent native ergonomics. My Woodway treadmill is a sensor - it turns physical state into digital knowledge. It shouldn't maintain some human-readable frontend and my LLM agent shouldn't have to reverse engineer it, it should be an API/CLI easily usable by my agent. I'm a little bit disappointed (and my timelines are correspondingly slower) with how slowly this progression is happening in the industry overall. 99% of products/services still don't have an AI-native CLI yet. 99% of products/services maintain .html/.css docs like I won't immediately look for how to copy paste the whole thing to my agent to get something done. They give you a list of instructions on a webpage to open this or that url and click here or there to do a thing. In 2026. What am I a computer? You do it. Or have my agent do it. So anyway today I am impressed that this random thing took 1 hour (it would have been ~10 hours 2 years ago). But what excites me more is thinking through how this really should have been 1 minute tops. What has to be in place so that it would be 1 minute? So that I could simply say "Hi can you help me track my cardio over the next 8 weeks", and after a very brief Q&A the app would be up. The AI would already have a lot personal context, it would gather the extra needed data, it would reference and search related skill libraries, and maintain all my little apps/automations. TLDR the "app store" of a set of discrete apps that you choose from is an increasingly outdated concept all by itself. The future are services of AI-native sensors & actuators orchestrated via LLM glue into highly custom, ephemeral apps. It's just not here yet.
how to build successful software startups 2005–2025: great ui first, api as a bonus 2026+: great api first, ui as a bonus
taste is a new core skill
With any social network: If you want to catalyze a new behavior, you have to overcorrect for a short period of time, especially for a long tenured userbase. (Please bear with Article Armageddon)
We have more new products & features to launch than days remaining in this month 🥰
Nano Banana smart prompt: Typographic ad / poster design Works with: - automotive - sport - beverage and other products Prompt 👇
Most companies think being "AI agent-first" means building an MCP server. But the MCP should come last, not first. Here are 5 steps worth thinking about: 1. Don't force people to use your website/app. AI agents will interact with many products first. If your product only works when a human visits your site, you're already behind. 2. Every capability needs a corresponding API. You'd be surprised how many products have beautiful UIs sitting on top of incomplete or undocumented APIs. 3. Build single-purpose, composable endpoints. Agents want to chain atomic APIs together to achieve outcomes. They don't want a monolithic endpoint that does five things. 4. Make your content agent-readable. Your docs and help centers will be consumed by agents more than humans. Clean markdown and consistent headers are a must. 5. Build an MCP server. Note how this step comes last. An MCP on top of broken APIs or poor docs is useless. Get the foundation right first. 📌 More on how to build your products for AI agents first here: https://creatoreconomy.so/p/why-you-need…
I'm Boris and I created Claude Code. Lots of people have asked how I use Claude Code, so I wanted to show off my setup a bit. My setup might be surprisingly vanilla! Claude Code works great out of the box, so I personally don't customize it much. There is no one correct way to use Claude Code: we intentionally build it in a way that you can use it, customize it, and hack it however you like. Each person on the Claude Code team uses it very differently. So, here goes.
