Loading beats index
AI as a tool for scientific discovery — protein folding predictions, drug discovery, materials science, climate modeling, particle physics, astronomy, and the fundamental question of whether AI is changing how science itself is done or merely accelerating existing methods.
The Trump administration's Genesis Project has replaced broad federal science funding with AI-company priorities, making the labs the gatekeepers of what research gets done.
Institutional AI mandates are producing methodical resistance — researchers compiling evidence rather than complying, turning skepticism into documented dissent.
r/deeplearning's nostalgia for the pre-2020 era is a community telling itself that commercialization didn't just change AI's scale — it changed who the field is for.
OpenAI dissolved its science initiative and folded the team into Codex, confirming that enterprise revenue now outranks research ambition inside the company.
AI systems are making genuine scientific discoveries and fabricating plausible-sounding ones with equal fluency — and biology cannot tell them apart yet.