Work in progress: 181,232 of 181,233 sites checked so far, more every week · updated 2 Nov 2026Missing a blog? Tell us

Top all-time · #20596

L

Linum AI

Company blog · linum.ai/field-notes · on HN as schopra909aiscience

Linum AI is the company blog at linum.ai, writing about ai and science. Since 2024, 3 different Hacker News readers have linked it 11 times. It is still writing: the last post was on 2026-10-06, and you can follow it by feed.

Visit the blog
11mentions?
3HN people?
2024–2026first – last linked?
Links on Hacker News per year · peak 10 in 2026

A two-person research lab training generative video models from scratch.

The author on HN?

schopra909 · 234 karma · member since 2020

https://thesahilchopra.com/ sahil@linum.ai

From their public HN profile, which links to this site.

What Hacker News says?

  1. Hi HN, author here! For context, we're a 2-person lab training generative video models. Goal is a new set of controllable, animation tools (you can read more about that here https://www.linum.ai/about if you're curious). The biggest bottleneck for our last text-to-video model in terms of training and inference cost is attention. Video models are incredibly token dense (e.g. 110K tokens for a several second clip). If…

    Comment linking /about

    on “Training Text-to-Image Models Without a VAE”
  2. Submitted Training Text-to-Image Models 3.6× Faster as a story · 56 points

    HN discussion
  3. Aah, for this we're just trying to filter not generate. When it comes to conditioning, you'll still need a model that understands text since the primary control is text. In the original Stable Diffusion, CLIP doubled as part of this LAION Aesthetic Filter as well as the text control for the generative model. But in the last couple of years, the field has drifted away from CLIP towards LLM hidden states (e.g. Qwen, M…

    Comment linking /field-notes/vae-reconstruction-vs-generation?from=home

    on “Getting video models to learn better, faster”
  4. Submitted Training Text-to-Image Models Without a VAE as a story · 55 points

    HN discussion
  5. I think YC just release video on the basics of diffusion, but honestly I don’t have a good end to end guide. We’re going to write up going 0->1 on a video model (all the steps) over the coming months. But it likely won’t be a class or anything like that. https://www.linum.ai/field-notes We want to share our learnings with folks who are curious about the space - but don’t have time to make it a full class experience.…

    Comment linking /field-notes

    on “Show HN: Text-to-video model from scratch (2 brothers, 2 years, 2B params)”
  6. Submitted Getting video models to learn better, faster as a story · 36 points

    HN discussion
  7. https://www.linum.ai/field-notes

    Comment linking /field-notes

    on “Show HN: Text-to-video model from scratch (2 brothers, 2 years, 2B params)”
  8. Submitted We Built an $8/Month GPU-Cluster Monitor as a story · 2 points

    HN discussion
  9. Submitted Show HN: Open-Weight Image-Video VAE (Better Reconstruction ≠ Better Generation) as a story · 2 points

    HN discussion
  10. Submitted Linum v2 - 2B parameter, Apache 2.0 licensed text-to-video models (360p, 720p) as a story · 1 points

    HN discussion
  11. Submitted Linum (AI Video Gen) as a story · 1 points

    HN discussion

Search all of HN for linum.ai