Anthropic just launched an AI workbench for scientists.
It connects 60 scientific databases in one place.
It still cannot tell you if your science is any good.
Claude Science went live this week. Genomics, single-cell, proteomics, structural biology, all in one environment. Ask a question in plain language, get an answer synthesised across databases that used to take a full day to query separately.
Every output carries a full audit trail. The exact code, the environment, the full history of how the result was made.
That last part is important. We all know that reproducibility is a sore point for modern science, and most AI tools have made it worse, not better. This one is built to make it traceable.
Here is what it does not do.
It is not a new model. It is not smarter about biology than the model underneath it.
It is a better interface for the tools you already use.
Which means it will run whatever pipeline you give it, beautifully, whether or not that pipeline is asking a biologically sensible question.
A well-organised analysis of the wrong question gives you a well-organised wrong answer. With a full audit trail attached.
The tool removes the friction. It does not remove the need to know what you are doing.
AI for science is not intelligence about science. It is infrastructure for science.
The intelligence still has to come from you.
If you connected every database you use into one interface tomorrow, what is the first question you would ask it?
#bioinformatics #datascience #computationalbiology #AIinbiology