We’re constantly told that large language models need massive infrastructure. But what if they don’t? On this episode, we sat down with @mohammad_mmzf, author of SLiM—a new method for compressing LLMs without retraining and without major accuracy loss. youtu.be/HFS7Yc_TRWs?feature…

What if your chatbot didn’t start from zero every time? In this episode, we explore how the Memory Mosaics approach could power smarter customer service. 🎧 Full episode on YouTube, Spotify, and Apple Podcasts.

Why do language models still sound confident—and get basic facts wrong? In this episode we talk to @ChenShani2 , whose work explores how to move LLMs from surface-level pattern recognition to true concept-level reasoning. youtu.be/joH7JUec79w?si=RDA8…

What if self-supervised learning could forecast the future—frame by frame? In this episode, we talk to @ziv_ravid about VJ-VCR, a new method that extends the JEPA framework to video. bit.ly/45JYusW Available on Youtube, Apple Podcast and Spotify