The expression converges to the golden ratio φ. Another way to say this is that the sequence defined by x0 = 1 and for n > 0 converges to φ. This post will be about how it converges. I wrote a little script to look at the error in approximating φ by xn and noticed that the error is about three times smaller at each step. Here’s why that observation was correct. The ratio of the error at […]
arXiv:2602.17688v1 Announce Type: new Abstract: Diffusion language models offer a compelling alternative to autoregressive code generation, enabling global planning and iterative refinement of complex program logic. However, existing approaches fail to respect the rigid structure of programming languages and, as a result, often produce broken programs that fail to execute. To address this, we introduce AnchorTree, a framework that explicitly anchors the diffusion process using structured, hierarchical priors native to code. Specifically, AnchorTree uses the abstract syntax tree […]
As part of today’s MacBook Pro update, Apple has also unveiled the M5 Pro and M5 Max, the newest members of the M5 chip family. Normally, the Pro and Max chips take the same basic building blocks from the basic chip and just scale them up—more CPU cores, more GPU cores, and more memory bandwidth. But the M5 chips are a surprisingly large departure from past generations, both in terms of the CPU architectures they use and in […]
arXiv:2604.02358v1 Announce Type: new Abstract: Vehicular Ad Hoc Networks (VANETs) play a crucial role in realizing vehicle-road collaboration and intelligent transportation. However, urban VANETs often face challenges such as frequent link disconnections and subnet fragmentation, which hinder reliable connectivity. To address these issues, we dynamically deploy multiple Unmanned Aerial Vehicles (UAVs) as communication relays to enhance VANET. A novel Score based Dynamic Action Mask enhanced QMIX algorithm (Q-SDAM) is proposed for multi-UAV deployment, which maximizes vehicle connectivity while […]
The gaming world has evolved at breakneck speed in the past couple of decades. Once upon a time, you had to wait for a year or more to get the new iteration of a game. (Think the old Total War release cycles, where the British and Australian branches of the company alternated on bi-yearly schedules.) Now, game development is fast and focused on near-instant gratification. A live-service shooter drops new content on a continuous cycle. This is fed […]
arXiv:2602.20229v1 Announce Type: new Abstract: Multi-agent systems (MAS) built on large language models (LLMs) have shown strong performance across many tasks. Most existing approaches improve only one aspect at a time, such as the communication topology, role assignment, or LLM routing, while treating each agent as a single, indivisible unit. This misses the opportunity to use mixtures of LLMs within an agent to strengthen role-specific abilities. We propose HieraMAS, a hierarchical collaboration framework that combines intra-node LLM mixtures […]
Hay ideas que en Estados Unidos suenan automáticamente a herejía, casi como si soltases una blasfemia salvaje en medio de una convención libertaria. Proponer una inteligencia artificial pública, nacional o incluso multinacional, es una de ellas. Allí, donde una parte significativa del debate tecnológico sigue atrapada en la fe casi religiosa en el mercado, la simple posibilidad de que una capacidad estratégica como la inteligencia artificial pueda concebirse como infraestructura pública provoca escalofríos. Fuera de ese marco ideológico, […]
arXiv:2603.12275v1 Announce Type: new Abstract: Unlearning knowledge is a pressing and challenging task in Large Language Models (LLMs) because of their unprecedented capability to memorize and digest training data at scale, raising more significant issues regarding safety, privacy, and intellectual property. However, existing works, including parameter editing, fine-tuning, and distillation-based methods, are all focused on flat sentence-level data but overlook the relational, multi-hop, and reasoned knowledge in naturally structured data. In response to this gap, this paper introduces […]
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 End of CI/CD Pipelines: The Dawn of Agentic DevOps By @davidiyanu [ 10 Min read ] GitHub’s agent fixed my flaky test in 11 minutes. No human wrote code. But when it fails, instead of a stack trace, you get an outcome. Read […]
arXiv:2602.07074v1 Announce Type: new Abstract: This paper develops a real-time, search-based aircraft contingency landing planner that minimizes traffic disruptions while accounting for ground risk. The airspace model captures dense air traffic departure and arrival flows, helicopter corridors, and prohibited zones and is demonstrated with a Washington, D.C., area case study. Historical Automatic Dependent Surveillance-Broadcast (ADS-B) data are processed to estimate air traffic density. A low-latency computational geometry algorithm generates proximity-based heatmaps around high-risk corridors and restricted regions. Airspace […]