NVIDIA is developing native GPU programming in Rust, with two tracks: SIMT and Tile, to improve performance and safety. The projects aim to make GPU programming easier for the Rust community.
A 4B model was trained using supervised fine-tuning and agentic reinforcement learning to produce Postgres query plans that beat Postgres's default plans, achieving a 44.7% latency reduction across 113 join-heavy queries. The model learned the harness language of the qo-agent harness through off-policy distillation and reinforcement learning, resulting in a geometric mean speedup of 1.81x and ...
Training metrics of the mimo-v2.6-pro and mimo-v2.6-flash reinforcement-learning runs, live from the trainer's logs.
Researchers developed BITCOS, a distribution-adaptive layout for ternary Large Language Models. It stores weights more compactly than five-trit packing in 26 of the tested models and achieves up to $1.485$ bits per weight on sparse models.
The author shares their experience with data loss and the importance of having a backup system in place, including snapshots and deduplication. They discuss various methods for rotating backups to ensure efficient storage usage.
The author shares valuable small nuggets of knowledge that can boost engineering productivity, such as shortcuts for tasks like starting a simple server or searching terminal history. These tiny tricks often require minimal mental infrastructure and can significantly ease work.
The US Strategic Petroleum Reserve stores hundreds of millions of barrels of crude oil in underground salt domes, rather than large tanks, to meet its requirements. This solution is relatively inexpensive and protects the oil from aerial attack, but requires ongoing maintenance and monitoring due to potential tradeoffs.
The position is for an Applied Scientist to improve Amazon's complex logistics systems, focusing on data-driven decision making and solving large-scale challenges. The ideal candidate will have a deep knowledge of Operations Research and/or Machine/Deep Learning methods, experience in applying these methods to large-scale business problems, and excellent communication skills.
OpenSpec helps teams refine and validate requirements, ensuring implementation matches the desired outcome. It aligns coding agents with evolving project needs through a centralized spec management system.
Commercial shipping is adopting wind-assisted propulsion systems to reduce fuel consumption and emissions, with over 100 ships equipped and more in development. These modern systems work alongside conventional engines to harness the wind for efficiency gains whenever possible.
The .NET 11 runtime has made significant performance improvements, particularly in the areas of just-in-time (JIT) compilation and garbage collection. The JIT compiler now uses more advanced techniques such as "guarded devirtualization" to optimize virtual method calls, and "escape analysis" to reduce heap allocations. Additionally, the runtime has improved bounds check elimination by ...
The author of the post has reverse-engineered the random number generator (RNG) used in Factorio, a popular game about factory-building and automation. The RNG is based on the taus88 algorithm, which uses three linear feedback shift registers (LFSRs) to generate pseudo-random numbers. The author has developed a method to predict future RNG outputs by analyzing past observations and using ...
What does a coding-agent harness actually add, and at what cost? It turns out your Claude models may not need Claude Code… We evaluate 21 model–harness pairs spanning seven models and three harnesses—Claude Code, Codex CLI, and Pi—on SWE-bench Lite and Terminal-Bench 2.0.
The Independent is a trusted news source providing fact-based reporting on various topics, including reproductive rights and climate change. Australia is exploring closer ties with the EU as Canada seeks to expand its trade relationship with the bloc.
A Jev-like model generates probabilities for text options in one pass, similar to TypeSafe's commercial model. The repository provides an independent starter model with the same input and output shape, trained on synthetic data and evaluated on a test set.
A Raspberry Pi-based e-ink bird frame uses AI for real-time bird detection, displaying hand-cut 1800s illustrations of birds heard in the garden. The project is still in development and welcomes contributions to improve its features and artwork.
Please enable JS and disable any ad blocker
Please enable JS and disable any ad blocker
Programmers tend to favor map and filter over reduce, with less feedback on its use in code reviews. This preference may be due to language limitations or personal familiarity with other methods rather than a fundamental issue with reduce itself.
Over the past few months I’ve been working on mapsnap, a program to automatically georeference old insurance maps. This post explains why these maps are interesting, how mapsnap works, and why this is worth doing. I’m interested in history, cities, and maps, and in the United States that combination leads you very quickly to the Sanborn Insurance Maps. The Sanborn Map Company produced ...
Astronomer Daryl Janzen challenges the standard cosmological model by questioning its assumption that matter is at rest in the universe, instead proposing a universe where all matter moves uniformly. He found a new framework, Cosmological Relativity, which resolves many problems of the standard model by breaking a core symmetry.
AI agents need effective exploration strategies to discover high-value solutions, but current systems struggle with adapting to large search spaces. Dream-RSI is a framework that uses replay simulators and dreaming to improve exploration policies at low cost.
A graphics programmer shares the complexity of texture memory layout in modern video games, highlighting block compression, texel ordering, mip mapping, and texture tiles. This complexity arises from performance optimizations such as cache locality and memory transfer speed improvements.
Researchers studied matrix multipliers on AMD GPUs, finding non-compliance with IEEE 754 standard. They developed software models to validate bit-level accuracy and applied them to demonstrate application-level accuracy differences between AMD and NVIDIA cores.
The DMI is a platform, started by researchers from Google and Google DeepMind, to publish and discuss creative, deeply informed ideas about a world with AGI. DMI pieces are intended to serve as conversation starters, reflecting the author's ideas and research, and should not be read as Google's official view.
Hackers stole data from a Flock camera, revealing how it tracks vehicles and people, and shared the files with media outlets. The breach shows that Flock's cameras can detect license plates, vehicles, bicycles, and even bumper stickers.
The author found that generated noise, specifically brown noise and speech blocker, helped them focus while working. They discovered Hush, a Mac app that generates these noises in real-time without requiring audio files or downloads.
Researchers propose a novel architecture, JiT-DDT, to improve the efficiency and quality of generative image and video models. By using x-prediction early in the DiT via an encoder, they achieve 3.6× fewer GPU-hours training time while generating images with 4× more pixels than Linum v2.
WalShadow is an open-source engine that replicates Postgres data to ClickHouse directly from physical WAL, achieving low latency and high throughput. It supports the complete replication lifecycle and eliminates the need for logical replication slots, reducing resource consumption on the source Postgres instance.