NeoInHacker
Re:Going Beyond World Models and VLAs
on Sunday April 12, 2026 @11:56PM (#47747405)
so what their model may looks like?
Going Beyond World Models and VLAs
Re:Ask HN: What Are You Working On? (April 2026)
on Sunday April 12, 2026 @10:50PM (#47747005)
I'm working on the wolrd model action (WMA) model, which is used to replace Visual Language Action (VLA) model to bridge the physical world with LLM.
Now I've done my basic researching part, but I'm lack of the courage to dive into this topic. After all, it's a really hard work to it.
So I'm just, you know, scrolling the HN and trying to sharpen my brain and get back to the work.
Re:Level S4 solar radiation event
on Monday January 19, 2026 @11:41PM (#46687988)
sounds "it's okey" ?
Re:X's move to show users' location is a great step toward online tran...
on Sunday November 30, 2025 @07:28PM (#46102000)
China: You are welcome
Re:1X Neo – Home Robot - Pre Order
on Wednesday October 29, 2025 @01:48AM (#45743094)
yeah, it's lame
Qwen3Guard Technical Report
World Simulation with Video Foundation Models for Physical AI
Discrete Diffusion in Large Language and Multimodal Models: A Survey
Re:The First Principle of Interesting v.s. Boring judgement
on Monday September 22, 2025 @07:13AM (#45331824)
Yeah, so I think high density informational materials can save one from this feeling. And the measurement of the "interesting degree" it how many information can it provide.
The First Principle of Interesting v.s. Boring judgement
Re:Slow Social Media
on Friday September 19, 2025 @08:52PM (#45308671)
What's app? WeChat?
Re:Slow Social Media
on Friday September 19, 2025 @08:51PM (#45308667)
What's app?WeChat?
Igniting VLMs Toward the Embodied Space
Seed Diffusion Preview
Re:Seed Diffusion Preview
on Thursday September 18, 2025 @01:16AM (#45285709)
Why diffusion LLMs' performance cannot beat Auto Regressive LLM now?
Re:Towards a Physics Foundation Model
on Thursday September 18, 2025 @12:58AM (#45285593)
Yeah, It’s true that PDEs are the "top-tier tool" for describing physical phenomena—from the laws of motion in classical mechanics and electromagnetic waves in electromagnetism to the evolution of wave functions in quantum mechanics, they accurately model most macroscopic, classical scenarios. However, when it comes to covering all physical phenomena, they really "fall short": in quantum gravity, spacetime may be discontinuous, making the concept of differentiation meaningless; for complex systems like turbulence, PDEs cannot be solved nor can they capture macroscopic laws; even for the randomness of quantum measurements, PDEs can only predict probability distributions and fail to explain the underlying nature. In short, they are a "top-tier auxiliary," but by no means a "one-size-fits-all key."
Re:What do you guys think about Gaussian Splats?
on Thursday September 18, 2025 @12:50AM (#45285549)
Seems great, but hard to be used