Google DeepMind report: A new golden age of discovery: Seizing the AI for Science opportunity. One in three postdocs now use large language models to help carry out literature reviews, coding, and editing.
I recommend to anyone who wishes to understand more on how AI is and could impact science, or is developing AI policy, to read this Google DeepMind essay published this month. A nice concise summary of some of the opportunities and risks to science.
The authors mention the need for ethics and safety assessments to frame the discussion before AI models or tools are built. Something I don’t see routinely happening in the geosciences.
The essay includes some great examples of what has already been achieved. For example the AI tool, Graph Networks for Materials Evaluaton (GNoME) which found 2.2 million new crystals. This is equivalent to nearly 800 years’ worth of knowledge, including 380,000 stable materials that could power future technologies. The simulations targeted structures similar to known crystals and also randomised recipes.
“Among these candidates are materials that have the potential to develop future transformative technologies ranging from superconductors, powering supercomputers, and next-generation batteries to boost the efficiency of electric vehicles.” Recent research shows 736 of these computationally discoveries have now been realised by researchers around the world.
A Geodyssey - Geoscience Text Analytics and Enterprise Search Research 
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