Older stories and guides from the Convly archive.
Yes, Gemini is free. Google AI Plus ($4.99), Pro ($19.99) and Ultra (from $99.99) raise usage limits, context window and storage. Every plan explained in plain language.
Every ChatGPT plan offers unlimited everyday chats. What changes with Go ($5), Plus ($20) and Pro (from $100) is the model, the limits and the tools. A plain-language comparison with a simple way to decide.
GGUF is a single-file container format for quantized models, created for llama.cpp. One .gguf file holds the weights, the tokenizer,
The Financial Times reports Anthropic withheld its latest AI model from the UK’s testing agency, putting the voluntary nature of pre-release safety evaluations back under scrutiny.
What it is: Nano-vLLM is a lightweight, ~1,200-line Python reimplementation of the vLLM inference engine, published by DeepSeek engineer Xingkai
OpenAI’s GPT-6 Astra costs $10/$50 per 1M tokens with a 1.05M context. It leads on computer use, maths and cybersecurity, trails Claude on general indexes, and ships with a restricted cyber build. The numbers, the price comparison, and who should switch.
Silicon Republic reports that Anthropic has backed away from a roughly $6bn acquisition of Decart AI. The collapsed deal matters less for the two companies than for what it says about how frontier labs are pricing capability today.
Anthropic has been named a top XPU customer amid a Q3 AI chip surge, according to a TradingView weekly recap — a shift that reshapes how Claude models are served at scale.
South Korean daily Chosun Ilbo reports that the United States is using GPU exports as a diplomatic bargaining chip. Here is what chip-access leverage actually changes for teams that train, host or buy AI models.
Linux + NVIDIA GPU: create a clean Python 3.12 environment, run pip install vllm (or uv pip install vllm), then
OpenAI’s usage rules bar political campaigns from making ads with ChatGPT, but The Washington Post reports campaigns are doing it regardless. The gap between written policy and observed use is now the clearest test of whether acceptable-use terms constrain generative models at all.
Anthropic has detailed its response to security incidents and unveiled enterprise safeguards for business customers, according to SecurityWeek, as API credential governance emerges as a critical concern for enterprise AI deployments.
