Vikas Chandra

Five years ago, video understanding mostly meant action recognition on Kinetics-400 or short-clip captioning on MSR-VTT.

Vision models and audio models have both improved rapidly, but multimodal LLMs still struggle with first-person video that requires understanding both.

Every major reasoning system right now is autoregressive.

In January 2025, DeepSeek released R1-Zero: a model trained entirely through reinforcement learning, no supervised fine-tuning, that learned to reason.

MobileLLM-R1, a 950M parameter model, scores 15.5% on AIME.

Vikas Chandra and Raghuraman Krishnamoorthi Three years ago, running a language model on a phone meant a toy demo.

A few years ago, watching teams throw hardware at AI’s memory problems, I started thinking: what if the bottleneck isn’t hardware, but how we use it?

There’s a growing consensus in AI that the next trillion-dollar platform won’t be another chatbot or copilot.