AlphaFold has become a standard tool for biology and medical research, with over 2.5 million researchers worldwide using it in their critical work, significantly impacting the scientific community.

More than 2 million researchers worldwide now use AlphaFold, and it has had a significant impact on biology and medical research, but this is just the beginning of AI's potential in science.

AI could be the best tool ever for accelerating scientific discovery, marking the beginning of a new golden age of discovery powered by AI tools like AlphaFold.

The AlphaFold and science projects were initiated to explore evidence of creativity in AI, which is essential for advancing our understanding in various domains.

AlphaFold 3 represents a significant breakthrough in understanding biomolecular structure, allowing for experimental-level accuracy in predicting protein structures and their interactions with small molecules, DNA, and RNA.

AlphaFold 3 is a significant step towards solving the structure prediction problem, but we still aim for 100% accuracy in understanding molecular interactions.

The tools we develop become useful when they lower the barrier to adoption, similar to how tools like BLAST and AlphaFold are widely used in biology.

AlphaFold 3 enables drug designers to model not just protein structures but also how these proteins interact with small molecules, enhancing our ability to design effective drugs.

AlphaFold 3 allows our drug designers to see how their molecule designs interact with protein targets instantly, which is a game changer in drug design.