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Ask HN: Dark mode for HN please? (2026)
Hacker News users revisit dark mode after years of workarounds A 2026 Ask HN post reignited the long-standing request for a native dark mode on Hacker News. The poster, Stitch4223, noted that a 2020 thread had already accumulated...
Text-to-Image Generative Modeling Without Language Pretraining
The dominant paradigm for text-to-image (T2I) generation has long relied on internet-scale language pretraining. Models such as those in the LlamaGen and JiT-T2I families incorporate large language model components pretrained on v...
OpenVLHarness: Real World Visual Agentic Tool-Use with Multimodal Memory
Multimodal large models have advanced considerably on visual reasoning tasks, yet a significant gap remains when tasks require evidence beyond internal model knowledge. A controlled evaluation across 22 benchmarks confirms that me...
Reinforcement Learning with Visually Attributable On-Policy Self-Distillation
Multimodal reinforcement learning with verifiable rewards (RLVR) provides reliable task-level supervision, yet offers limited guidance for localizing errors in visual reasoning. On-policy self-distillation (OPSD) complements this...
Inception "Mercury 3", 1000 tok/s diffusion LLM
Mercury 3 Released as Fastest Diffusion LLM to Date Today Inception launches Mercury 3, a diffusion-based large language model that sets new benchmarks for speed and capability. The system runs at 1,068 tokens per second on NVIDIA...
Show HN: Strot – Compile an LLM's intent once, run decisions locally
Compile intent once, decide forever with STROT STROT introduces a different approach to LLM-mediated text processing. The framework lets you compile your intent once with an LLM, then decide on every record as type-safe JSON with...
Rethinking the design space of Vanilla Pixel Diffusion Transformers
Pixel-space diffusion models have re-emerged as an alternative to latent diffusion, eliminating the need for a separately trained autoencoder and its associated bottleneck. A prior result from JiT demonstrated that a vanilla diffu...
Blind Precise Assembly: Proprioceptive Sim-to-Real Peg-in-Hole for Diverse Parts
The dominant paradigm in robotic assembly has long relied on exteroceptive sensing—vision, force/torque sensors, or dedicated tactile skins—to guide contact-rich motions. This work questions whether a robot's own joint encoders pr...
AI-Driven Reproducibility and Analytical Robustness in Scientific Discovery
The pursuit of reproducible findings underpins credible scientific progress, yet the manual effort required to verify claims across large corpora of research has grown proportionally with publication volume. SEER-Driven Reproducib...
CocoRNA: Collective RNA Design with Cooperative Multi-agent Reinforcement Learning
Designing RNA sequences that reliably fold into specific secondary structures is essential for understanding their biological functions but remains a challenging computational problem. RNA, or ribonucleic acid, stores genetic info...