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I switched from Htmx to Datastar

Show HN: I invented a new generative model and got accepted to ICLR

I invented Discrete Distribution Networks, a novel generative model with simple principles and unique properties, and the paper has been accepted to ICLR2025!<p>Modeling data distribution is challenging; DDN adopts a simple yet fundamentally different approach compared to mainstream generative models (Diffusion, GAN, VAE, autoregressive model):<p>1. The model generates multiple outputs simultaneously in a single forward pass, rather than just one output. 2. It uses these multiple outputs to approximate the target distribution of the training data. 3. These outputs together represent a discrete distribution. This is why we named it "Discrete Distribution Networks".<p>Every generative model has its unique properties, and DDN is no exception. Here, we highlight three characteristics of DDN:<p>- Zero-Shot Conditional Generation (ZSCG). - One-dimensional discrete latent representation organized in a tree structure. - Fully end-to-end differentiable.<p>Reviews from ICLR:<p>> I find the method novel and elegant. The novelty is very strong, and this should not be overlooked. This is a whole new method, very different from any of the existing generative models. > This is a very good paper that can open a door to new directions in generative modeling.

Show HN: I invented a new generative model and got accepted to ICLR

I invented Discrete Distribution Networks, a novel generative model with simple principles and unique properties, and the paper has been accepted to ICLR2025!<p>Modeling data distribution is challenging; DDN adopts a simple yet fundamentally different approach compared to mainstream generative models (Diffusion, GAN, VAE, autoregressive model):<p>1. The model generates multiple outputs simultaneously in a single forward pass, rather than just one output. 2. It uses these multiple outputs to approximate the target distribution of the training data. 3. These outputs together represent a discrete distribution. This is why we named it "Discrete Distribution Networks".<p>Every generative model has its unique properties, and DDN is no exception. Here, we highlight three characteristics of DDN:<p>- Zero-Shot Conditional Generation (ZSCG). - One-dimensional discrete latent representation organized in a tree structure. - Fully end-to-end differentiable.<p>Reviews from ICLR:<p>> I find the method novel and elegant. The novelty is very strong, and this should not be overlooked. This is a whole new method, very different from any of the existing generative models. > This is a very good paper that can open a door to new directions in generative modeling.

Liquid Glass Is Cracked, and Usability Suffers in iOS 26

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Nobel Peace Prize 2025: MarĂ­a Corina Machado

My first contribution to Linux

My first contribution to Linux

OpenAI, Nvidia fuel $1T AI market with web of circular deals

See also <a href="https://www.bloomberg.com/news/articles/2025-10-08/the-circular-openai-nvidia-and-amd-deals-raising-fears-of-a-new-tech-bubble" rel="nofollow">https://www.bloomberg.com/news/articles/2025-10-08/the-circu...</a> (<a href="https://archive.ph/E7nGC" rel="nofollow">https://archive.ph/E7nGC</a>)

Figure 03, our 3rd generation humanoid robot

Figure 03, our 3rd generation humanoid robot

Python 3.14 is here. How fast is it?

Python 3.14 is here. How fast is it?

Discord says 70k users may have had their government IDs leaked in breach

A small number of samples can poison LLMs of any size

A small number of samples can poison LLMs of any size

A competitor crippled a $23.5M bootcamp by becoming a Reddit moderator

<a href="https://archive.ph/w0izj" rel="nofollow">https://archive.ph/w0izj</a>

IKEA Catalogs 1951-2021

We found a bug in Go's ARM64 compiler

We found a bug in Go's ARM64 compiler

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