Older stories and guides from the Convly archive.
Bloomberg reports Alibaba has released an AI model with performance rivalling Anthropic’s Claude. Here is what the launch means for developers, pricing and the intensifying AI race.
Windows: press Ctrl+Shift+Esc → Performance → GPU and read Dedicated GPU memory.
OpenAI has published a statement of intent under the banner ‘Building abundant intelligence’. We unpack what the framing signals for AI model users, API economics and the infrastructure race — and what remains unconfirmed.
OpenAI says ChatGPT has passed 1 billion active users, but reports pair the milestone with a striking claim: its revenue now trails Anthropic. Here is what the reports say — and what they leave out.
Axios reports that DeepSeek’s new low-cost model is accelerating AI’s race to zero on pricing. Here is why collapsing token prices matter for developers, rival labs and the economics of the entire model market.
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 vs ChatGPT for everyday use in 2026: US prices for every plan, how the usage limits differ, free plans, writing, coding, files, images, voice and privacy, with a clear pick for each task.
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.
