2026年10月11日 技术热点总结

项目简介：Presentations and slide shows: an open-source, clean-room reimplementation of Microsoft PowerPoint in pure Rust. Part of the ArtCraft Crafting Apps.

技术栈：Rust

核心介绍：DeckCraft Presentations and slide shows; an open-source, clean-room reimplementation of Microsoft PowerPoint, rebuilt in pure Rust. Build decks with themes, layouts, shapes, pictures, tables, charts, transitions and animations, open and save PowerPoint files, and present them full screen. Native on macOS, Windows, Linux and FreeBSD, and in the browser. Every button is also a command that the CLI and AI agents (t…

项目简介：airdrop for non-apple devices

技术栈：Shell、airdrop、omarchy、opendrop

核心介绍：The radio half of omdrop for machines without Apple’s Broadcom Wi-Fi. AWDL runs in userspace through OWL on a monitor interface, and omdrop’s own receiver and sender run over it unchanged. First target: the MediaTek MT7925 (mt7925e), as in the Framework 13, where AirDrop works in both directions while Wi-Fi stays connected. An Intel AX201 works in an “exclusive” mode that takes Wi-Fi away while the machine is visible. It is a sibling of omdrop-awdl,

项目数据：⭐ 1,398 Stars，🍴 90 Forks

Diffusion and autoregression (AR) have long been seen as different categories of generative models, with diffusion specialising in continuous fields and AR specialising in discrete tokens. Recent work seeks to combine the advantages of the two models, and each hybrid fixes its decoding schedule by design. In this paper, we ask whether the performance of decoding schedules of one model can be predicted before decoding at a fixed number of steps. We describe diffusion, AR, and models in between as paths on one corruption lattice, and define the cost of a schedule as the dependence its paralle…

This work evaluates the direct transfer of a co-evolved communication protocol from a 2D simulation to a 3D physical environment, without retraining the network weights. Two e-puck-type robots, controlled by a GRU network with residual connection, were evaluated in a food-seeking task with social signaling. The sensory and motor translation layer required three corrections for stable physical operation, including the calibration of a hunger term based on a measurable asymmetry in the trained residual weights. Even with these corrections, the transfer was partial and asymmetric: one agent re…

This work examines the transfer of a co-evolved communication mechanism between two robotic agents from a discrete two-dimensional (2D) simulator to a three-dimensional simulator with real physics (3D). The study focuses on whether a communication mechanism co-evolved in a 2D environment retains its functional role after transfer to a 3D physics-based simulator. To support this analysis, the effects of the episode time budget, the social cue, and the asymmetry between the two co-evolved roles were examined. The results indicate that the success rate increased approximately linearly with the…

Long-horizon coding agents need timely corrections, yet feedback can be ineffective or even harmful when it misjudges ongoing work or fails to address the underlying problem. Existing critics focus on evaluating trajectories and generating feedback, but rarely track what happens after feedback is delivered. We present Opera, a verbal critic framework that treats each correction as a persistent note, followed until the diagnosed problem is resolved. Opera decides when to review through periodic and event-driven triggers, diagnoses issues with typed operators, audits feedback against visible …

Agent skills are SKILL.md instructions and scripts that AI coding agents such as Claude Code and Codex run with the permissions of their user. Developers share skills by copying them between repositories, which makes them a software supply chain without a registry, versions or provenance. The origin of a copied skill, the reach of a security fix and the repositories that warrant review are therefore unknown. Studies that record which repositories hold a skill at a single point in time cannot reveal who copied it from whom. We contribute the first dated copy network of agent skills, built fr…

Learned simulators for deformable linear objects (DLOs) such as cables have to predict the motion of cables they were not trained on and stay stable over long rollouts. Most of their error occurs where the cable touches itself or the floor. Attention over all pairs of cable segments can represent contact between parts of the cable that are far apart along its length, but attention has no notion of geometry. A cable has two pairwise distances, which agree only while it is straight: the arc-length distance along the cable, which governs elastic forces, and the Euclidean distance in space, whi…