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I accidentally turned off bluetooth on my Windows machine, killing my mouse, and it turns out you can't easily re-enable BT using the keyboard.So I opened…
Article URL: https://github.com/pradipta/wallfacer Comments URL: https://news.ycombinator.com/item?id=49192219 Points: 4 # Comments: 1
Article URL: https://www.economist.com/leaders/2026/08/05/governments-are-making-a-dangerous-bet-on-the-ai-boom Comments URL: https://news.ycombinator.com/item?id=49192160 Points: 16 # Comments: 3
As for me, I own a system with an RTX 5090, Ryzen 9 9950X3D2, and 64 GB of DDR5. Every time I see research come out…
Kimi K3 scores nearly TWICE Claude Fable 5 on Harvey LAB-AA’s hard autonomous legal tasks
RT Together AIKimi K3 scores nearly TWICE Claude Fable 5 on Harvey LAB-AA’s hard autonomous legal tasks
Leveraging pre-trained vision-language models (VLMs) to construct vision-language-action (VLA) models has emerged as a promising paradigm for 3D robot manipulation. However, existing 3D VLA methods remain…
Interactive video world models are essential for long-horizon planning and exploration, yet they suffer from compounding errors. Post-training methods such as reinforcement learning (RL) can improve…
LLM agents are increasingly applied to open-ended everyday requests that span work, study, and life. These tasks are long-horizon, cross-environment, and multimodal, forcing the agent to…
This actually happenedNaruto: Elon Musk reveals what happens when a rocket launch needs approval from Fish and WildlifeElon: "Nonetheless, we were forced to kidnap a seal,…
On-Policy distillation (OPD) transfers teacher capabilities by supervising student-sampled trajectories with dense token-level teacher signals. Recent selective OPD methods improve this process by prioritizing signals that…
Personalized LLMs with persistent memory are increasingly deployed, yet the faithfulness of their user models remains unexamined. We study over-inference (OI): the phenomenon where LLMs fabricate…
Long-horizon reasoning in recent LLMs demands that the model switch between distinct skills inside a reasoning chain, such as first doing a math derivation, then using…
Memory-augmented VLM agents act on persistent spatial knowledge, yet that knowledge silently goes stale as the environment changes. We ask what happens when an agent must…
We introduce NOLLI, a procedurally generated English-Korean puzzle benchmark designed to diagnose where Korean performance gaps arise. It comprises 15 puzzle types (25 tasks; 7,500 items),…
Skill-based prompting has become a practical mechanism for improving large language model (LLM) agents, yet existing skill acquisition methods often treat skills as experience summaries, memory…
The abundance of casually captured monocular videos and images on social media provides a valuable source for immersive content creation, where generating novel views from such…
Text-to-image (T2I) models can produce visually compelling images, yet they remain limited on open-world tasks that require complex semantic understanding, multi-step reasoning, and the integration of…
Vision offers a critical axis for advancing foundation models, driving a shift towards natively unified multimodal pretraining. Despite this momentum, the design space and the fundamental…
RT Vals AIMuse Spark 1.2 just cracked the top 5 on the Vals Index, at just $0.69 per test. This is 3x cheaper than Kimi and…
Megapack 3 starting production. Congrats Tesla Megapack team!Tesla Megapack: Megapack 3 is officially rolling off the line at our newest Megafactory in Brookshire, Texas!The factory went…
Grok in Blender88n77: http://x.com/i/article/2084195014888820737
I built this because the existing benchmarks were using random data and with MTP content types can vary a lot on what performance you see. 5%…
Great ideaGareth Roberts: Here’s a radical idea. Hold everybody to the same standards.