Month: January 2026

A new study finds that diffusion language models reason better when constrained to standard left-to-right generation. By avoiding arbitrary flexibility and using a simple training method called JustGRPO, researchers show that fewer options can expand reasoning capability rather than limit it.

OpenVision 3 demonstrates that a single visual encoder, using a unified tokenizer, can effectively power both image understanding and image generation tasks across multiple model sizes.

Most video generation models are trained to look realistic, not to understand cause and effect. This paper argues that embodied AI needs action-conditioned world models and new benchmarks that measure whether predictions actually help robots learn to act in the real world.

How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## The Long Now of the Web: Inside the Internet Archive’s Fight Against Forgetting By @zbruceli [ 18 Min read ] A … Read more

Researchers show that robots trained on large-scale human hand demonstrations can learn general task principles and adapt them across different robot bodies with minimal retraining.

Working in a large monorepo with a long-term project has its oddities. Every time I started a new feature, I turned from a developer into a “file manager.” Create a folder, organize files, write boilerplate code, copy imports from a neighbor file, and don’t forget to clean up the mess… Each action only takes a … Read more