Tools & Code

Developer tools, open-source releases, frameworks, IDE integrations, dev workflows.

Mozilla Used Anthropic’s Mythos to Find and Fix 151 Bugs in Firefox

Mozilla's Firefox team used Anthropic's Claude to identify and patch 151 bugs, demonstrating practical AI-assisted security workflows. The team cautioned that while AI won't fundamentally reshape cybersecurity, developers face a near-term adjustment period integrating these tools into their processes.

WIRED — AI·11h ago

Products & Apps Tools & Code

Google launches Deep Research and Deep Research Max agents to automate complex research

Google DeepMind rolled out Deep Research Max, an autonomous research agent built on Gemini 3.1 Pro that integrates web and proprietary data sources. Developers can now plug in financial feeds and specialized data via the Model Context Protocol, expanding agent capabilities beyond public information.

The Decoder·11h ago

Tools & Code Research

VLA Foundry: A Unified Framework for Training Vision-Language-Action Models

VLA Foundry unifies language, vision, and action model training in a single open-source codebase, eliminating the fragmented pipeline problem that has plagued prior robotics-focused AI efforts. The team released two model variants and benchmarked them on an open simulator, offering practitioners an end-to-end training stack from scratch or via pretrained backbones.

arXiv cs.LG·11h ago

Business & Funding Tools & Code

Hyundai, DeepX Partner to Develop AI Platform for Robotics

Hyundai and DeepX are building foundational AI infrastructure for next-generation robotics, targeting the core systems that will power autonomous machines at scale. The partnership signals automotive and robotics players moving beyond off-the-shelf models to develop proprietary AI stacks.

AI Business·12h ago

Research Tools & Code

Chat2Workflow: A Benchmark for Generating Executable Visual Workflows with Natural Language

Researchers introduced Chat2Workflow, a benchmark and agentic framework for converting natural language into executable visual workflows, addressing the manual engineering bottleneck in industrial automation. The work tests whether LLMs can automate multi-step workflow design and error correction without human intervention.

arXiv cs.CL·12h ago

Research Tools & Code

The "Small World of Words" German Free-Association Norms

Researchers released SWOW-DE, a dataset of free-association norms for 5,877 German words, filling a gap in multilingual psycholinguistic resources. The norms predict lexical decision performance and enable cognitive science research on semantic structure across languages.

arXiv cs.CL·13h ago

Research Tools & Code

RoLegalGEC: Legal Domain Grammatical Error Detection and Correction Dataset for Romanian

Researchers released RoLegalGEC, the first Romanian-language dataset for grammatical error detection and correction in legal documents. The work addresses a gap in domain-specific NLP training data by combining synthetic generation with structured grammar understanding, enabling better error-correction tools for legal professionals.

arXiv cs.LG·14h ago

Research Tools & Code

A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression

Researchers introduce TACO, a self-improving compression framework that automatically learns how to reduce redundant observations in terminal agent interactions, addressing the quadratic token-cost problem that limits long-horizon reasoning tasks.

arXiv cs.CL·14h ago

Research Tools & Code

Bangla Key2Text: Text Generation from Keywords for a Low Resource Language

Researchers released Bangla Key2Text, a 2.6M keyword-text pair dataset for low-resource language generation, and benchmarked mT5 and BanglaT5 models on the task. Fine-tuned sequence-to-sequence models substantially outperformed zero-shot LLMs on Bangla keyword-conditioned text generation.

arXiv cs.CL·15h ago

Research Tools & Code

ZC-Swish: Stabilizing Deep BN-Free Networks for Edge and Micro-Batch Applications

Researchers propose Zero-Centered Swish, an activation function designed to stabilize training in batch-normalization-free deep networks, addressing a critical pain point in micro-batch regimes like 3D medical imaging and federated learning where standard activations cause gradient collapse.

arXiv cs.LG·16h ago

Research Tools & Code

Heterogeneity-Aware Personalized Federated Learning for Industrial Predictive Analytics

Researchers propose a personalized federated learning framework that handles heterogeneous degradation patterns across industrial clients, enabling factories and production lines to collaboratively train failure prediction models without sharing raw data. The approach clusters clients by similarity to improve prognostic accuracy in real-world settings where equipment degrades differently.

arXiv cs.LG·16h ago

Policy & Regulation Tools & Code

This AI Tool Rips Off Open Source Software Without Violating Copyright

Malus, a satirical but functional tool, demonstrates how AI can clone open-source software through clean-room techniques, potentially enabling developers to redistribute code without attribution or legal liability. The exploit exposes a gap between copyright law and developer ethics in the AI era.

404 Media·16h ago

Research Tools & Code

Lost in Translation: Do LVLM Judges Generalize Across Languages?

Researchers released MM-JudgeBench, a 60K-instance multilingual evaluation dataset spanning 25 languages to test whether vision-language reward models generalize beyond English. The benchmark reveals critical gaps in how LVLM judges perform across linguistic and cultural contexts, directly impacting alignment evaluation practices.

arXiv cs.CL·17h ago

Research Tools & Code

FairTree: Subgroup Fairness Auditing of Machine Learning Models with Bias-Variance Decomposition

FairTree, a new fairness auditing algorithm, detects performance disparities across ML model subgroups without requiring data discretization. It decomposes disparities into bias and variance components, addressing limitations of prior tools like SliceFinder that struggle with continuous features.

arXiv cs.LG·18h ago

Research Tools & Code

LASER: Learning Active Sensing for Continuum Field Reconstruction

Researchers propose LASER, a reinforcement learning framework that treats adaptive sensor placement as a decision problem, using a learned world model to simulate measurement scenarios and guide where sensors should move next. The approach combines POMDPs with latent-space planning to reconstruct physical fields more efficiently than fixed sensor arrays.

arXiv cs.LG·18h ago

Research Tools & Code

DASH-KV: Accelerating Long-Context LLM Inference via Asymmetric KV Cache Hashing

Researchers propose DASH-KV, a hashing-based method that reformulates attention as approximate nearest-neighbor search to cut computational overhead in long-context LLM inference. The approach uses asymmetric encoding and dynamic mixed-precision to balance speed gains against generation quality loss, addressing a core bottleneck in scaling context windows.

arXiv cs.CL·18h ago

Research Tools & Code

RDP LoRA: Geometry-Driven Identification for Parameter-Efficient Adaptation in Large Language Models

Researchers propose using the Ramer-Douglas-Peucker algorithm to identify which layers in LLMs should receive LoRA adaptation by analyzing hidden-state geometry, eliminating guesswork from parameter-efficient fine-tuning decisions.

arXiv cs.CL·19h ago

Tools & Code Research

QIMMA قِمّة ⛰: A Quality-First Arabic LLM Leaderboard

Hugging Face launched QIMMA, a leaderboard benchmarking Arabic-language LLMs on quality metrics rather than raw scale. The resource addresses a gap in multilingual model evaluation, giving developers concrete performance data for non-English deployments.

Hugging Face·19h ago

Research Tools & Code

ShadowPEFT: Shadow Network for Parameter-Efficient Fine-Tuning

ShadowPEFT proposes a centralized parameter-efficient fine-tuning method that replaces LoRA's distributed weight perturbations with a shared shadow module evolving across transformer layers. The approach aims to reduce training costs for LLM adaptation while improving upon existing low-rank techniques through layer-level refinement rather than independent weight-space modifications.

arXiv cs.CL·20h ago

Research Tools & Code

Sherpa.ai Privacy-Preserving Multi-Party Entity Alignment without Intersection Disclosure for Noisy Identifiers

Sherpa.ai proposes a privacy-preserving entity alignment method for vertical federated learning that avoids leaking which samples overlap between parties, addressing a key vulnerability in standard private set intersection protocols used for cross-party ML collaboration.

arXiv cs.LG·21h ago

Research

SCURank: Ranking Multiple Candidate Summaries with Summary Content Units for Enhanced Summarization

Researchers propose SCURank, a framework that ranks summary candidates using semantic content units rather than unstable LLM comparisons or surface metrics like ROUGE. The method enables smaller models like BART to match LLM summarization quality through improved distillation from diverse sources.

arXiv cs.CL·21h ago

Research Tools & Code

LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation

Researchers introduce LBLLM, a three-stage distillation method that compresses LLM weights to 1-2 bits while keeping activations at 4 bits, enabling deployment on resource-constrained hardware without sacrificing inference accuracy through decoupled weight and activation quantization.

arXiv cs.LG·22h ago

Research Tools & Code

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling

Researchers propose GSQ, a scalar quantization method that closes the accuracy gap between simple techniques like GPTQ and complex vector-quantization approaches at ultra-low bit-widths (2-3 bits per parameter). The work suggests efficient LLM deployment needn't sacrifice accuracy for implementation simplicity.

arXiv cs.CL·1d ago

Research Tools & Code

ClawEnvKit: Automatic Environment Generation for Claw-Like Agents

Researchers introduce ClawEnvKit, an automated pipeline that generates training environments for robotic agents from natural language descriptions. The system combines parsing, generation, and validation modules to scale environment creation beyond manual construction, addressing a bottleneck in agent development.

arXiv cs.CL·1d ago

Research Tools & Code

IDOBE: Infectious Disease Outbreak forecasting Benchmark Ecosystem

Researchers released IDOBE, a benchmark dataset of over 10,000 epidemic outbreaks spanning a century of U.S. and global surveillance data, to standardize evaluation of machine learning and statistical forecasting models for infectious disease prediction.

arXiv cs.LG·1d ago

Models & Releases Tools & Code

Open-weight Kimi K2.6 takes on GPT-5.4 and Claude Opus 4.6 with agent swarms

Moonshot AI released Kimi K2.6 as an open-weight model competitive with GPT-5.4 and Claude Opus 4.6 on coding tasks, with the ability to orchestrate up to 300 parallel agents. The open release challenges closed-model dominance in frontier capabilities.

The Decoder·1d ago

Products & Apps Tools & Code

Fortnite developers can make AI characters now — just don’t try to date them

Epic Games rolled out a conversational AI tool for Fortnite creators to build interactive NPCs without hand-coding dialogue trees, expanding on last year's AI-voiced Darth Vader character. The feature lets players talk naturally with AI-generated characters on custom islands, marking a shift toward generative dialogue in game development.

The Verge — AI·1d ago