Ollama vs Cloud AI - Privacy Trade-offs for Students
Running AI locally with Ollama means your prompts never leave your Mac. Sending them to ChatGPT, Claude, or Gemini means they touch a cloud provider's servers and may be retained per their terms. For sensitive academic work or exam-time use, the privacy difference matters.
Ollama runs open-weight models (Mistral, Llama, Phi, Gemma) on your Mac's CPU and GPU. No network egress unless you configure one. Cloud AI providers process your prompt on their servers, potentially log it (OpenAI keeps logs 30 days for safety review, Anthropic has similar policies), and may use it for training unless you opt out (free tier opts you in by default at most providers; paid tiers usually opt you out). For homework you would not want logged - sensitive personal info, medical history in a case study, intellectual property in a graduate thesis - local Ollama is the conservative path.
OpenAI and Anthropic say no by default on paid tiers but yes on free tiers unless you opt out. Read each provider's data terms; they change.
Ollama runs locally - no network needed. The overlay invisibility is the same regardless of where the model runs.
Not for hardest questions. For routine homework explanation, Mistral 7B or Llama 3.1 8B is competitive.
Need reference access during your exam?
Fracture runs a native floating overlay that sets the macOS window privacy flag. It is 100% excluded from screen capture feeds, window lists, and proctor recordings.