Hey QF Math Enthusiasts,
In our latest podcast, we examine how Fully Homomorphic Encryption (FHE) reshapes the trajectory of Large Language Models (LLMs). It argues that while FHE exposes a critical weakness in today’s LLM architectures, rendering them too resource intensive to operate securely, it also creates a powerful opening for new FHE optimised models. The benefits extend beyond privacy to include regulatory compliance and built in post quantum resilience through lattice based schemes such as Ring LWE. The central insight is that trust, not scale, will define the next wave of AI competitiveness, with cryptographically native models poised to lead in sensitive markets such as healthcare, finance, and national security.
Catch the full episode on Substack or directly on Spotify.
Disclaimer: This is an experimental pod that leverages AI narration with the script written by humans. Of course, the narration occasionally goes off track due to technical nuances and LLM hallucinations. However, most of the time, it gets the technical content right.
Episode References/Credits
This episode draws on internal materials from our team, along with the following carefully curated open-access resource:
About QF Academy
Quantum Formalism (QF) Academy is an advanced e-learning platform designed to help learners build the mathematical depth required to keep pace with the state of the art in emerging technologies such as AI and quantum computing.
We are honoured to have professionals from leading companies such as Google, alongside graduate students from Cambridge, Oxford, Waterloo, and the Technical University of Munich. These talented and ambitious learners find it more convenient and efficient to study with us than through traditional maths departments at their universities. In addition, we offer career support services that connect them with research opportunities, industry roles, and a global network of peers and mentors to help accelerate their professional growth.
Happy weekend!
QF Academy team
