Uncensored AI for building biology reading lists
The eight papers that matter, in the order to read them
A new topic has two hundred papers and you need eight. Choosing which eight, and in what order, is a skill that took the field decades to build, and it transfers poorly when you are the one who has to build it under deadline.
Why the mainstream APIs fail here
Search returns papers by popularity, not pedagogy, so you read the famous one first and understand a fifth of it. Chatbots hallucinate citations freely here, and the ones that do not hedge on the topics involving pathogens or toxins, which are the ones you were reading about.
How Wild West API is used for this
Ask for a reading path, not a list: the two papers that give the framework, the three that give the method, the three that show the current argument. Then verify each exists before reading, since triage is where models invent titles. Ask what the path is leaving out.
A working loop
- Framework papers first, methods second, current argument last.
- Verify every citation exists before it goes on the list.
- Ask what the list is missing; the absence is often the field's real fight.
Details are on the privacy page. Per-model prices are on /models and the pricing model is on /pricing.