Settings

Theme

After 600 experiments, here's what I discovered about JEPA world models

haddyalchaer.com

99 points by halcdev · 20 comments

Reader

8 threads
whiplash451

MCTS also solves push-T problems without training: https://github.com/olivkoch/gumbel-mcts

reasonabl_human

Hands-on learning is an awesome thing - especially in the age of AI!

But maybe worth reframing away from “discovering” - hierarchical planning, sub-goals, action chunking etc. are well understood - this is more of a… transcript of your personal learning journey?

Which is still cool to see. But I read through expecting there to be some kind of novel results. We probably need to categorize these kinds of posts a bit better.

taikon

There's weird subtle moving rainbow color hues on this webpage on mobile

halcdevOP

Let me know if you have any questions!

  • bsaul

    I knew close to nothing about JEPA before reading your post, but i was under the impression this was supposed to be a contender for LLM's limitations, a way to do things "properly".

    However, based on this article, i have the feeling that on the contrary, JEPA is filling a super niche problem, and is pretty much only trying to improve robotic motions in space.

    Which of the two ideas is it ? Can JEPA technics be applied to a much more wide range of problems ? (like LLM and transformers)

    • LarsDu88

      JEPA can be applied to text as well in the sense you can use it to build text embedding models, freeze your JEPA text embedder, then train a decoder over the top of that.

      OF course your decoder model could end up doing a lot of the heavy lifting if your decoder loss was based on text reconstruction methods (which almost all LLMs use for eval purposes)

      For certain tasks, you do need pixel/token level reconstruction fidelity to do a lot of things. Like image generation or text generation.

      For other tasks, having a coherent representation of the world that can be computed quickly and intuitively is more salient. I suspect the human mind works more like JEPA than like an autoregressive LLM. Human children train on far less data to achieve extreme fidelity on a lot of tasks generative reconstruction loss based AI/ML techniques struggle with.

  • carlmr

    I wanted to know how you made these animations, they look gorgeous!

packeted

In a world where I'm increasingly being triggered by the fonts default Claude uses, I really liked the font used for the title here - it's Faculty Glyphic FYI.

sashank_1509

AI; DR

If you’re going to use AI to generate text, keep it short and concise and meaty. I don’t hate reading AI, but I can’t read large walls of text for presumably some useful nugget of information in it.

https://www.pangram.com/history/2dd2b019-221a-4bee-bb6a-6b7e...

freecodeio

as someone with an oled monitor that background effect gave me a small heart attack

Ohentis

Website is borderline unusable on my phone. I suspect because of the animations? Either way not a great state of affairs

  • phoghed

    For anyone considering skipping because of this, it works flawlessly on my several year old iPhone.

    There is a faint somewhat distracting background animation though I think…

    • halcdevOP

      Thanks! Glad to know it works for most people. I reduced the bg animation intensity.

  • bsboxe

    Works perfectly fine for me on iOS 27.3 (with the exception of some glitching that was solved by disabling adaptive dark mode)

  • halcdevOP

    Sorry about that- will investigate. What OS/browser are you using?

    • dofm

      Older intel macs initially have quite large blank areas of scroll while the figures later in the page render.

      Much better after scrolling through and then reloading.

  • Aboutplants

    Looks perfectly fine for me

Keyboard Shortcuts

j
Next item
k
Previous item
o / Enter
Open selected item
?
Show this help
Esc
Close modal / clear selection