Bangalore Paper Club on alternate language-model architectures

Useful local/India AI research-community signal because it treats frontier progress as an architecture-search problem, not only a compute-scaling race.

Original source

Logged at IST: 2026-07-19 20:23 IST

What it is: Kautuk / Conscious Engines announcing Bangalore Paper Club episode 2, themed around alternate architectures for language models.

Gist: The post frames the event around the claim that architecture is an ideas game while scaling is a compute game. The discussed papers were LLaDA, a diffusion language model; Nemotron-TwoTower, an NVIDIA approach for faster diffusion-language-model generation; CLeGR, a benchmark for graph-language models; plus a bonus Dognosis talk on cancer detection via canine olfaction. The quoted post adds the useful thesis: if language-model progress gets redrawn in places without frontier GPU budgets, it may come from architectural questions rather than simply stacking more layers.

Retrieval note: I could read the X post and quoted post metadata/text, but the promised YouTube link was not exposed in the fetched post or public browser snapshot, so this is not grounded in the full episode transcript/video.

Newsletter angle: Useful local/India AI research-community signal because it treats frontier progress as an architecture-search problem, not only a compute-scaling race.