Will Manidis - AI, LLMs & Healthcare Data

Classics & AI

Will Manidis highlights the unexpected synergy between classical studies and modern AI technologies. He shares how his background in Greek and Latin influenced his work in natural language processing (NLP) and large language models, emphasizing the value of interdisciplinary learning. Will argues that universities often limit exploration by overly specializing students, which stifles creativity and innovation.

I think in general people, there's a huge amount of kind of positive returns across disciplinary work.

--- Will Manidis

He believes that a broader educational approach could lead to more well-rounded individuals and innovative solutions in technology 1 2.

   

Education Critique

The current educational system's focus on specialization is critiqued by Will Manidis, who sees it as a barrier to broader learning and innovation. He suggests that students should be encouraged to explore diverse fields rather than being tracked into narrow career paths from a young age. This approach, he argues, would foster creativity and adaptability, essential traits in today's rapidly changing world.

If you go to Berkeley and talk to an ECS undergrad, that kid has been tracked from eleven years old to study for this job, to end up as a Facebook engineer on the other side.

--- Will Manidis

Will believes that the educational system should evolve to allow more interdisciplinary exploration, which could lead to more innovative and fulfilling careers 3 1.