Rediscovering the Forgotten Power of Machine Learning (ML)
Rediscovering the Forgotten Power of Machine Learning (ML)
Large language models and Generative AI are fantastic in their own right (and are a form of ML). These tools can automate and augment countless tasks—from co-pilots for coding to simplifying our everyday workflows.
However, I’ve always believed that AI offers organisations an opportunity far more significant than just augmentation and automation. It enables organisations to reinvent how they meet the needs of those they serve.
As time passes, I’ve begun to wonder if this reinvention will come more from Machine Learning (ML) applications, like the capabilities of AlphaGo and Alpahfold, than from Generative AI, despite how amazing it is.
While Generative AI offers ease of use and dramatic results, it might be drawing attention away from the more profound, long-term impacts of ML applications that sit quietly in the background, not showing off flamboyantly.
As I've observed before, some of the most potent innovations come from resource-constrained environments, and these two examples highlight ML’s potential to rethink industries completely:
A groundbreaking model that generates novel proteins, AlphaProteo could change the course of health and biological research. It’s not about automating current processes—it’s about opening new doors to therapies and treatments.
Google’s AI model, trained to detect respiratory diseases from cough sounds, could revolutionize early diagnosis and make healthcare more accessible worldwide.
It’s no coincidence that both innovations come from Google, led by Demis Hassabis, the pioneer behind AlphaGo and AlphaFold.
While Google has faced criticism for its Generative AI initiatives, I believe Hassabis’s passion lies in making meaningful, world-changing impacts in healthcare rather than automating spreadsheets or presentations. Many AI companies talk about changing the world—but Hassabis is doing it quietly in the background.
For a deeper understanding of his vision for AI’s future, check out this insightful interview with Hannah Fry, where they explore the next frontier of AI.
Let’s not forget that the most profound innovations often come from machine learning, where the real power to reimagine and transform lies. All power goes to Demis, who seems like a lovely bloke with his heart in the right place.
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