February 2026

LadybirdBrowser/ladybird: Abandon Swift adoption Back in August 2024 the Ladybird browser project announced an intention to adopt Swift as their memory-safe language of choice. As of this commit it looks like they’ve changed their mind: Everywhere: Abandon Swift adoption After making no progress on this for a very long time, let’s acknowledge it’s not going anywhere and remove it from the codebase. Via Hacker News Tags: ladybird, swift

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Author(s): Mukundan Sankar Originally published on Towards AI. I built a Streamlit SQL coach that grades your queries and fixes your form without giving away the answer. I use SQL a lot. I made this app to help me when my queries are wrong. I didn’t build it because I’m perfect at SQL. Photo by Rubaitul Azad on UnsplashThe author describes the motivation and development of an AI app designed to enhance SQL training, likening the training process […]

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Execution-aware LLM agents offer a promising paradigm for learning from tool feedback, but such feedback is often expensive and slow to obtain, making online reinforcement learning (RL) impractical. High-coverage hardware verification exemplifies this challenge due to its reliance on industrial simulators and non-differentiable execution signals. We propose LLM4Cov, an offline agent-learning framework that models verification as memoryless state transitions guided by deterministic evaluators. Building on this formulation, we introduce execution-validated data curation, policy-aware agentic data synthesis, and worst-state-prioritized […]

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Graph Neural Networks (GNNs) have become essential in high-stakes domains such as drug discovery, yet their black-box nature remains a significant barrier to trustworthiness. While self-explainable GNNs attempt to bridge this gap, they often rely on standard message-passing backbones that inherit fundamental limitations, including the 1-Weisfeiler-Lehman (1-WL) expressivity barrier and a lack of fine-grained interpretability. To address these challenges, we propose SymGraph, a symbolic framework designed to transcend these constraints. By replacing continuous message passing with discrete structural […]

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Get the data architecture right, and everything else becomes easier. I know it sounds simple, but in reality, little nuances in designing your data architecture may have costly implications. This article provides a crash course on the architectures that shape your daily decisions – from relational databases to event-driven systems. The post Why Every Analytics Engineer Needs to Understand Data Architecture appeared first on Towards Data Science.

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I’ve been experimenting with a small RL evaluation scaffold I call ARCUS-H (Adaptive Robustness & Collapse Under Stress). The idea is simple: Most RL benchmarks evaluate agents only on reward in stationary environments. ARCUS evaluates agents under structured stress schedules: pre → shock → post trust violation (action corruption) resource constraint valence inversion (reward flip) concept drift For each episode, we track: reward identity trajectory (coherence / integrity / meaning proxy components) collapse score collapse event rate during […]

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Allegro is a machine learning interatomic potential (MLIP) model designed to predict atomic properties in molecules using E(3) equivariant neural networks. When training this model, there tends to be a trade-off between accuracy and inference time. For this reason we apply multi-objective hyperparameter optimization to the two objectives. Additionally, we experiment with modified architectures by making variants of Allegro some by adding strictly classical multi-layer perceptron (MLP) layers and some by adding quantum-classical hybrid layers. We compare the […]

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Hi technicians, I be in my graduation semester and did sign up for a exploration project on Edge AI reinforcement learning. When I did dive into the literature I did discover that there are not so much resources out there. So to gain some knowledges and some point of views I want to share with you this technique and put some questions in this chat hopefully you can challenge me and give me some new insights :). Thank […]

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