Reviews and guides for AI tools that do actual work: coding assistants, local inference apps, image generators and the calculators we build to size them.
OpenAI has reportedly fully open-sourced its Codex Harness, according to 36 Kr, opening the AI coding orchestration framework to independent deployment and inspection. The move has significant implications for how engineering teams manage API costs and build AI coding workflows.
Sora 2 is the cheapest frontier option at $0.10 per second of 720p video — $0.05 on the batch tier. Sora 2 Pro runs $0.30 (720p) to $0.70 (1080p).
OpenAI is reportedly developing an AI smart speaker shaped like a doughnut, according to Mashable. The unusual form factor would make OpenAI’s entry into voice assistant hardware one of the most visually distinctive in the market.
Looking for an alternative to ChatGPT? Eight genuinely good options in 2026 — including the ones that cost a fraction as much, and the ones that never send your data anywhere.
Removing Ollama takes two steps people often miss: stopping the background service, and deleting the model files, which can occupy far more disk space than the application itself.
Running Ollama in Docker keeps models and dependencies contained and makes the setup portable between machines. Here is the working configuration — including GPU passthrough and persistent storage.
Ollama is the default way to run local models, but it is not the only one — and for some jobs it is not the best one. Here are seven alternatives worth knowing, and exactly when each beats Ollama.
Ollama runs on llama.cpp — so comparing them is really about how much control you want versus how much convenience. Here is what each layer gives you, and when dropping to raw llama.cpp is worth it.
Ollama and vLLM both run open models on your own hardware, but they solve different problems: one is built for a single user, the other for many at once. Here is how they compare on throughput, memory and setup.
Ollama and LM Studio both run large language models on your own machine, and both are free — but they are built for different people. Here is an honest comparison of interface, performance, API access and hardware use, plus which one to pick for your setup.
PetaPixel reports Nvidia is building an AI video detector that could help newsrooms, platforms and creators separate synthetic footage from the real thing.
Cursor is reportedly building an in-house AI agent called Sand to compete directly with Anthropic’s Claude Cowork, signalling a shift toward vertically integrated coding tools.
