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1 results

  • 5 - Conclusion

  • Grace Huckins, MIT Technology Review
  • Book:
    The Prediction Revolution
    Print publication:
    03 December 2026, pp 150-156
    • Chapter
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  • Summary

    It has been less than a decade since DeepMind released the first version of AlphaFold, and in that time AI has become nearly unrecognizable. Large language model-based tools such as Claude and ChatGPT do much more than predict protein structures: They scan the scientific literature for new ideas, write the code to test them, and then draft articles to communicate the results. Rather than making predictions in only a single domain, these language model systems can act as general-purpose scientific assistants. Nevertheless, studying how AI has changed science over the past decade may still be the best tool we have for anticipating what effects it may have in the future. Where specialized neural networks have started to peel prediction and understanding apart from each other, general-purpose AI systems have the potential to take that process much farther – or even separate prediction from understanding entirely.