Adobe products are industry-standard tools used by millions of creators around the world. However, not everyone can afford the subscription, and some users prefer open-source software for flexibility, privacy, and freedom. If you are a Windows, macOS, or Linux user looking for free yet powerful alternatives, we have curated a list of open-source tools that cover everything from photo editing to video production, desktop publishing, and even AI-powered creative tools.

OpenAI is cutting Cursor off. The company has notified SpaceX that it intends to end Cursor’s direct access to OpenAI models on November 12, 2026, following SpaceX’s acquisition of Anysphere, the company behind Cursor. For developers who rely on GPT models inside Cursor, that puts a clock on something that has become part of their daily workflow. But Cursor itself isn't going away. The question is what actually changes when one of the models behind your AI coding workflow suddenly disappears and whether Cursor can move on without OpenAI as easily as it might seem.

You unlock your phone to reply to a message. A few swipes later, you’re still there scrolling, watching, switching apps without really knowing why. Most of us don’t intend to spend hours on our phones. It just happens. The apps are fast, colorful, and always ready to pull us in during moments of boredom, stress, or habit. But quitting your phone altogether isn’t realistic, right? Modern apps are designed to be sticky & trying to resist them head-on rarely works. What does work is changing how the phone behaves. In this list, I’ve picked five apps that help you slow down, pause, and take back control without blocking everything or making you feel restricted. Some are open-source, some aren’t, but all of them are genuinely effective and built around healthier use.

Anthropic just got hit with a designation the US government usually reserves for Chinese tech companies like Huawei. Not for a data breach. Just for refusing to let the military use its AI for mass domestic surveillance and autonomous weapons without human oversight. That's the short version. The longer version is messier, more interesting, and honestly a little hard to believe is happening in 2026. On Friday, President Trump ordered every federal agency to immediately stop using Claude, according to The Guardian. Defence Secretary Pete Hegseth followed up by labelling Anthropic a "supply chain risk to national security", a tag that bars any military contractor from doing business with the company. The same label America uses on Huawei. Applied, for the first time ever, to an American company, India Today reports. Anthropic's response was short and direct. "No amount of intimidation or punishment from the Department of War will change our position on mass domestic surveillance or fully autonomous weapons," the company said in a statement Friday night. So that's where we are.

Cohere spent the past year deploying North, its enterprise AI workspace, with actual customers doing actual work. Agentic question answering over company file systems. Data analysis across spreadsheets. Multi-session memory that has to hold up in production. Command A+ is what came out of that, a model shaped by a year of watching enterprise workflows break and figuring out why. The result is a 218B mixture-of-experts model with 25B active parameters at inference time, available today on Hugging Face under Apache 2.0. It replaces five separate models in the Command A family, each of which handled one thing. This one handles all of them, and on most of the tasks those specialist models were built for, it wins.

I was about to pay for another month of ElevenLabs when I stopped myself. Not because the product is bad, it's genuinely one of the best AI voice tools out there. But $22 a month adds up. And somewhere along the way, uploading my voice samples to someone else's server started bothering me more than I expected. Where does that data actually go? Can they train on it? I went looking for something local. Free. Private. Found one. And it surprised me more than I expected.

Gemma 4 is a family of four models. Two dense models built for phones and laptops, E2B and E4B. One MoE model at 26B A4B for consumer GPUs. One dense 31B for workstations and servers. All four are multimodal. Text and image input across the entire family. The two smaller models, E2B and E4B, also handle audio natively which is unusual at that size. Context window sits at 128K tokens for the small models and 256K for the larger two. Every model in the family supports function calling out of the box, which matters if you are building agents. Every model also has a thinking mode you can toggle, so you get chain of thought reasoning without a separate model.