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 ...
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Training metrics of the mimo-v2.6-pro and mimo-v2.6-flash reinforcement-learning runs, live from the trainer's logs.
DeepSeek-V4.1 Flash is a multimodal mixture-of-experts model designed for aggressive KVCache compression, achieving nearly 420 Tokens/s speed and reducing the computation overhead by nearly half while maintaining performance comparable to DeepSeek V4-Flash. The model architecture consists of a Causal Encoder-Decoder (CED) structure with cross-layer sharing mode built in CSA2, which reuses the ...
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 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.
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.
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 ...
Scientists have created mice with human brain cells, aiming to study complex disorders like autism and epilepsy. This hybrid model may offer new insights into human brain function previously unattainable in traditional models.
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.
A long, long time ago, in a land free of binary exploit mitigations, when Unix still roamed the Earth, there lived a pre-authentication Telnetd vulnerability. In fact, this vulnerability was born so long ago (way back in 1994) that it may even be older than you. To put the timespan in perspective: it came into existence the same year the seminal movie Hackers was released. Come to think of ...
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.
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The author developed mapsnap to automate georeferencing of Sanborn Insurance Maps, enabling easier historical urban analysis. Using OCR and RANSAC, mapsnap aligns old maps with modern data, despite challenges like ambiguous street names and curved roads.
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.
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.
Pangram is a highly accurate AI detector that uses natural language processing to identify AI-generated content in text. It has been verified by researchers at the University of Chicago and University of Maryland, with an accuracy rate of 99.7% against 26 models.
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.
Monsanto is using its vast resources to intimidate and sue farmers who use genetically modified seeds, claiming they are violating the company's patents. The company has a history of environmental contamination and health problems from its chemical operations in the past.
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.
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.
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.