Older stories and guides from the Convly archive.
Forbes warns that OpenAI’s 80% price cut could trigger a race to the bottom in AI. We examine what the move means for API pricing, developers and the economics of frontier models.
Two frontier flagships, one month apart. Opus 5 leads the independent intelligence index and costs less per output token; GPT-5.6 Sol has the bigger context window — until the 272K billing cliff changes the math.
DeepSeek has unveiled a public beta API for its flagship AI model, according to Bloomberg. The move gives developers direct programmatic access at a moment when the company is also reported to be building a large data centre in Inner Mongolia.
Claude and ChatGPT are the two assistants most people choose between in 2026. Here is an honest comparison on writing, coding, context, price and privacy — including the API costs most reviews leave out.
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.
A federal judge has voiced doubt that the US government justified its ban on Anthropic AI, with Politico reporting the judge said the Trump administration has not justified labelling the company a national security risk.
