Google is restricting Gemini 3.5 Flash Cyber to select partners as CodeMender enters preview. Hereβs what security teams should verify before adoption.
Alongside Samsung's Unpacked reveals, Google unveiled Gemini updates for the new Galaxy foldables, including wake-word-free Watch 9 activation and a built-in iPhone data transfer tool.
Large language models (LLMs) might be the most accessible and flexible technology we've ever had access to. By default, they're presented as chatbotsβbut that's just one way to interact with them. With the right prompts, you can transform an LLM into something that behaves like an entirely different app, complete with its own custom interface.
Google released Gemini 3.6 Flash, 3.5 Flash-Lite, and Flash Cyber, but the continued absence of Gemini 3.5 Pro raises fresh questions about its AI strategy.
Google announced a significant evolution of its AI models at I/O in May with the release of Gemini 3.5 Flash, and it's not slowing down. The company revealed three new AI models today, including its first version of Gemini geared toward cybersecurity. However, none of the new models is the delayed Gemini 3.5 Pro, which was supposed to launch in June.
Gemini 3.5 Flash, which was the star of the show at I/O, has already been deprecated. In its place, developers and users will find Gemini 3.6 Flash. Google makes the usual claims about this modelβit's marginally more capable and better at coding, and it has great multimodal features.
Google says the changes to 3.6 Flash were made in response to user feedback on the 3.5 release. In general, Gemini 3.5 Flash didn't appear to live up to Google's promises around code generation. Perhaps that is simply a consequence of Google's intense focus on efficiency as businesses have started to fret over the cost of AI tokens.
Googleβs air-gapped Gemini deployment in India gives regulated organizations more control over sensitive AI workloads, but access, updates, compliance, and auditability still require scrutiny.
The way to use a chatbot is given in the name. They are designed to be used by having two-way conversations with the LLM using natural language. You type something into the chatbot, and it replies. In some cases, continually typing stuff into a chatbot isn't the most efficient way to do things, so I set up a system that does it for me.
Gemini Notebookβs new Collections help users organize growing research libraries as Google expands the former NotebookLM across Gemini and Search, although the feature remains more limited than a proper folder system.
You probably won't notice the next Model Context Protocol update, but it could make AI assistants much better at connecting to the apps and services you use every day.
I used to spend far too much time building and debugging complex Excel formulas. Now, I can describe a problem to AI and get a working answer in seconds. But when I asked ChatGPT, Claude, and Gemini for the "best" Excel formula, they all gave me different answers.
The more comfortable I get using AI to help me code, the more curious I become about how the major platforms compare when they're given the exact same job. It's easy to ask Claude, ChatGPT, or Gemini to create a simple app and come away impressed when something functional appears a few seconds later. But that doesn't necessarily tell you whether the code is secure, well structured, or capable of handling situations beyond the most obvious use case.
The EU has ordered Google to open Gemini's exclusive Android access to rival AI apps by 2027. For Android users, the real payoff might not be more choices, but cheaper ones.
Are you deeply invested in the Google ecosystem? Do you actively use Google Keep, Tasks, Calendar, and Drive in your day-to-day life? Individually, each of these is an excellent toolβminimal by design but solid in functionality. The only problem is that these apps are mostly isolated from one another. But if you add Gemini as an orchestration layer, all of these tools can start talking to each other. That's exactly what I did, effectively turning Gemini into my personal project management system.
Every app wants to become an AI app, even when users keep dismissing the invitation. Somehow, software that promises to understand us still canβt remember when weβve said no.
Google used live stadium capture, and combined it with archival material to bring Pele's legendary goal to life. The Veo video engine, Gemini Omni, and Nano Banana Pro AI tools tagged alongside in the journey to revive a lost marvel.