AI & Science
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.
American Science's New Landlord Is an Algorithm
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.
- ·Federal science funding has been structurally redirected toward AI-company priorities under the Genesis Project, replacing broad agency mandates.
- ·The independence that made peer review credible is being eroded by a funding model where the patron and the tool are the same entity.
- ·AI-assisted research is gaining visibility across disciplines while simultaneously accumulating a higher retraction rate — a tension the new funding structure ignores.
The Evidence Document: How Researchers Are Pushing Back on AI Mandates
Institutional AI mandates are producing methodical resistance — researchers compiling evidence rather than complying, turning skepticism into documented dissent.
The Field That Renamed Itself and Lost Something Real
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's Science Moonshot Lasted Seven Months Before Codex Won
OpenAI dissolved its science initiative and folded the team into Codex, confirming that enterprise revenue now outranks research ambition inside the company.
AI Invented a Disease. Scientists Want to Know What Else It Fabricates.
AI systems are making genuine scientific discoveries and fabricating plausible-sounding ones with equal fluency — and biology cannot tell them apart yet.