AI is great for research, but it mostly regurgitates information. That is changing how. The latest advancements in scientific AI independently *discover* new avenues for research, which will lead to the next scientific revolution. 🧵👇

Multi-agent systems (e.g., Google’s “AI co-scientist”) now read literature, surface hypotheses, and draft experiment plans, automating the repetitive early stages of research.

As weeks of hypothesis generation compress into days, the new challenge becomes translating machine-generated hypotheses into accountable, transparent research processes.

$BeeARD uses AI to turn raw biomedical data into community-governed research pipelines through BioDAOs.

We are witnessing a new paradigm: for the first time, AI is being used not to explain the past or present, but predict the future.

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