Search: “tools”

DrugSAGE:Self-evolving Agent Experience for Efficient State-of-the-Art Drug Discovery

arXiv:2605.15461v1 Announce Type: cross Abstract: Building state-of-the-art (SOTA) predictive models for drug discovery requires expensive search over tools, architectures, and training strategies. Cu

agentsarxiv-cs-ai

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Fast-tracking genetic leads to reverse cellular aging

DGX agent

Google DeepMind's Co-Scientist AI tool helps researchers identify genetic changes that push cells away from senescence toward youthful states in tissues like skin, hair, and muscle. The system scans s

model-releasesgoogle-deepmind

18 May 2026

Grok Build has Command Palette with Ctrl+P

Grok Build, a development tool, features a Command Palette accessible via the Ctrl+P keyboard shortcut, enabling users to quickly access commands and functions. This functionality is similar to comman

industryelon-musk--x

just as i feared

just as i feared AI can be a powerful tool for opening people up to new perspectives, yet we find that people actually prefer to use “sycophantic” AI systems that reinforce their pre-existing beliefs.

safetygary-marcus--x

Seeing What Matters: Visual Preference Policy Optimization for Visual Generation

arXiv:2511.18719v4 Announce Type: replace Abstract: Reinforcement learning (RL) has become a powerful tool for post-training visual generative models, with Group Relative Policy Optimization (GRPO) in

safetyarxiv-cs-cv

Tutorials

SMCEvolve: Principled Scientific Discovery via Sequential Monte Carlo Evolution

arXiv:2605.15308v1 Announce Type: new Abstract: LLM-driven program evolution has emerged as a powerful tool for automated scientific discovery, yet existing frameworks offer no principled guide for de

tutorialsarxiv-cs-ai

Teams like @modal are already using Devin Auto-Triage for incidents on their inference team. “Devin Automations feels like a step forward fr…

Teams like @modal are already using Devin Auto-Triage for incidents on their inference team. “Devin Automations feels like a step forward from other auto-triage tools we’ve tried. It monitors our chan

agentscognition-ai--x

The question your commercial data should already be able to answer

This Databricks blog post likely discusses how modern data platforms and analytics tools should enable organizations to quickly extract insights and answer business questions from their commercial dat

industrydatabricks

Training on Documents About Monitoring Leads to CoT Obfuscation

arXiv:2605.15257v1 Announce Type: new Abstract: Chain-of-thought (CoT) monitoring is one of the most promising tools we have for detecting model misbehavior, but its effectiveness depends on models fa

agentsarxiv-cs-lg

Try it out … Improvements are landing every few days!

Try it out … Improvements are landing every few days! Grok Build CLI Beta can now be installed directly from Grok Web with a single terminal command. The agentic coding and workflow tool is currently

agentselon-musk--x

Unsupervised Domain Shift Detection with Interpretable Subspace Attribution

arXiv:2605.15920v1 Announce Type: cross Abstract: We developed a tool for detecting domain shifts, namely subtle differences in the probability distributions of datasets. We identify these shifts usin

researcharxiv-cs-lg

What we announced in streaming AI at Next ‘26

model-releasesgoogle-cloud-ai

Every device, user, and microservice generates data. Ingesting this data, extracting meaning and insights, and driving business decisions in real time has the potential to deliver transformational bus

You can now create more with Claude Design. We've doubled token limits across every plan.

Anthropic has doubled token limits across all Claude plans, enabling users to work with larger amounts of text and create more complex projects. This upgrade applies to the Claude Design tool and repr

model-releasesthariq--x

And, yes, our experiments used a mix of GPT-4 & GPT-4o (publishing takes awhile). I think we would see much larger results with more recent …

model-releasesethan-mollick--x

And, yes, our experiments used a mix of GPT-4 & GPT-4o (publishing takes awhile). I think we would see much larger results with more recent models, let alone recent agentic tools. 'The Cybernetic Team

17 May 2026

Auditing Agent Harness Safety

model-releasesarxiv-cs-cl

arXiv:2605.14271v1 Announce Type: new Abstract: LLM agents increasingly run inside execution harnesses that dispatch tools, allocate resources, and route messages between specialized components. Howev

Beyond AI as Assistants: Toward Autonomous Discovery in Cosmology

arXiv:2605.14791v1 Announce Type: cross Abstract: Recent advances in artificial intelligence (AI) agents are pushing AI beyond tools toward autonomous scientific discovery. We discuss two complementar

Causal Foundation Models with Continuous Treatments

arXiv:2605.15133v1 Announce Type: new Abstract: Causal inference, estimating causal effects from observational data, is a fundamental tool in many disciplines. Of particular importance across a variet

researcharxiv-cs-lg

Correctness-Aware Repository Filtering Under Maximum Effective Context Window Constraints

arXiv:2605.14362v1 Announce Type: cross Abstract: Context window efficiency is a practical constraint in large language model (LLM)-based developer tools. Paulsen [12] shows that all tested models deg

cred to @thatguybg, playing with micro yesterday inspired this (consider this my feature wish list)

This post shares feature requests and ideas inspired by experimentation with micro (likely a small language model or tool), credited to another developer. It appears to be a wishlist of desired capabi

agentsyohei-nakajima--x

DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion Models

arXiv:2605.15055v1 Announce Type: cross Abstract: Reinforcement learning has emerged as a powerful tool for improving diffusion-based text-to-image models, but existing methods are largely limited to

safetyarxiv-cs-cv

GraphBit: A Graph-based Agentic Framework for Non-Linear Agent Orchestration

arXiv:2605.13848v1 Announce Type: new Abstract: Agentic LLM frameworks that rely on prompted orchestration, where the model itself determines workflow transitions, often suffer from hallucinated routi

Local Ai

LiSA: Lifelong Safety Adaptation via Conservative Policy Induction

arXiv:2605.14454v1 Announce Type: cross Abstract: As AI agents move from chat interfaces to systems that read private data, call tools, and execute multi-step workflows, guardrails become a last line

local-aiarxiv-cs-cl

Local Ai

Model page: https://ollama.com/library/glm-5.1

GLM-5.1 is a language model available through Ollama's model library, accessible via the Ollama platform for local deployment and use. The model can be pulled and run locally using Ollama's tools, mak

local-aiollama--x

Numerical exploration of the range of shape functionals using neural networks

arXiv:2602.14881v2 Announce Type: replace-cross Abstract: We introduce a novel numerical framework for the exploration of Blaschke--Santalo diagrams, which are efficient tools characterizing the possi

researcharxiv-cs-ai

Orchard: An Open-Source Agentic Modeling Framework

arXiv:2605.15040v1 Announce Type: new Abstract: Agentic modeling aims to transform LLMs into autonomous agents capable of solving complex tasks through planning, reasoning, tool use, and multi-turn in

agentsarxiv-cs-ai

Local Ai

Pixal3D: Generate high-fidelity 3D assets from a single image. (TencentARC, locally runnable model)

local-air-stablediffusion

Pixal3D is a locally runnable AI model developed by TencentARC that generates high-fidelity 3D assets from single 2D images. The tool leverages advanced techniques to convert 2D image inputs into deta

RQ-MoE: Residual Quantization via Mixture of Experts for Efficient Input-Dependent Vector Compression

arXiv:2605.14359v1 Announce Type: cross Abstract: Vector quantization is a fundamental tool for compressing high-dimensional embeddings, yet existing multi-codebook methods rely on static codebooks th

researcharxiv-cs-ai

Scalable Subset Selection in Linear Mixed Models

arXiv:2506.20425v3 Announce Type: replace-cross Abstract: Linear mixed models (LMMs), which incorporate fixed and random effects, are key tools for analyzing heterogeneous data, such as in personalize

researcharxiv-cs-lg

Some models to try with Codex: kimi-k2.6:cloud (with vision support) glm-5.1:cloud If you don't yet have a paid subscription with Ollama's c…

Some models to try with Codex: kimi-k2.6:cloud (with vision support) glm-5.1:cloud If you don't yet have a paid subscription with Ollama's cloud, choose a model that supports reliable tool calling: ne

model-releasesollama--x

Unsteady Metrics and Benchmarking Cultures of AI Model Builders

arXiv:2605.14164v1 Announce Type: new Abstract: The primary way to establish and compare competencies in foundation and generative AI models has shifted from peer-reviewed literature to press releases

AgenticFlict: A Large-Scale Dataset of Merge Conflicts in AI Coding Agent Pull Requests on GitHub

arXiv:2604.03551v2 Announce Type: replace-cross Abstract: Software Engineering 3.0 marks a paradigm shift in software development, in which AI coding agents are no longer just assistive tools but acti

agentsarxiv-cs-ai

Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions

arXiv:2602.02560v2 Announce Type: replace-cross Abstract: Lung cancer remains the leading cause of cancer mortality, driving the development of automated screening tools to alleviate radiologist workl

safetyarxiv-cs-ai

Descriptive Collision in Sparse Autoencoder Auto-Interpretability: When One Explanation Describes Many Features

model-releasesarxiv-cs-lg

arXiv:2605.12874v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) are now standard tools for decomposing language model activations into interpretable features, and automated interpretability

FRAME: Forensic Routing and Adaptive Multi-path Evidence Fusion for Image Manipulation Detection

arXiv:2605.12826v1 Announce Type: cross Abstract: The proliferation of sophisticated image editing tools and generative artificial intelligence models has made verifying the authenticity of digital im

researcharxiv-cs-ai

Grid-Orch: An LLM-Powered Orchestrator for Distribution Grid Simulation and Analytics

arXiv:2605.12728v1 Announce Type: cross Abstract: The power distribution engineering workforce faces a projected shortage of up to 1.5 million engineers by 2030, creating urgent demand for more access

History Anchors: How Prior Behavior Steers LLM Decisions Toward Unsafe Actions

arXiv:2605.13825v1 Announce Type: new Abstract: Frontier LLMs are increasingly deployed as agents that pick the next action after a long log of prior tool calls produced by the same or a different mod

safetyarxiv-cs-ai

In 1859, Charles Baudelaire, perhaps one of the greatest artist of his time, said that photography was “art’s most mortal enemy,” arguing th…

industrycristobal-valenzuela--x

In 1859, Charles Baudelaire, perhaps one of the greatest artist of his time, said that photography was “art’s most mortal enemy,” arguing that it was a mechanical, soulless tool that should be restric

interwhen: A Generalizable Framework for Steering Reasoning Models with Test-time Verification

arXiv:2602.11202v3 Announce Type: replace-cross Abstract: Reasoning models produce long traces of intermediate decisions and tool calls, making test-time verification important for ensuring correctnes

safetyarxiv-cs-ai

Microsoft starts canceling Claude Code licenses

model-releasesthe-verge-ai

Microsoft first started opening up access to Claude Code in December, inviting thousands of its own developers to use Anthropic's AI coding tool daily. It was part of an effort to get project managers

OpenAI’s Codex is now in the ChatGPT mobile app

model-releasesthe-verge-ai

OpenAI is going to let users access Codex, its desktop AI tool that can write code and use apps on your computer, from the ChatGPT app on your phone. Following the surge in popularity for Anthropic's

PolySHAP: Extending KernelSHAP with Interaction-Informed Polynomial Regression

arXiv:2601.18608v3 Announce Type: replace Abstract: Shapley values have emerged as a central game-theoretic tool in explainable AI (XAI). However, computing Shapley values exactly requires 2^d game ev

Applications

Quantifying Potential Observation Missingness in Inverse Reinforcement Learning

arXiv:2605.12831v1 Announce Type: new Abstract: Inverse reinforcement learning (IRL), which infers reward functions from demonstrations, is a valuable tool for modeling and understanding decision-maki

applicationsarxiv-cs-lg

Rethinking Generalization in Graph Neural Networks: A Structural Complexity Perspective

model-releasesarxiv-cs-lg

arXiv:2605.13597v1 Announce Type: new Abstract: Graph neural networks (GNNs) have emerged as a fundamental tool for learning from graph-structured data, achieving strong performance across a wide rang

Applications

The Joint Gromov Wasserstein Objective for Multiple Object Matching

arXiv:2511.16868v2 Announce Type: replace Abstract: The Gromov-Wasserstein (GW) distance serves as a powerful tool for matching objects in metric spaces. However, its traditional formulation is constr

applicationsarxiv-cs-cv

When Does Hierarchy Help? Benchmarking Agent Coordination in Event-Driven Industrial Scheduling

arXiv:2605.13172v1 Announce Type: cross Abstract: Recent advances in agent and multi-agent systems have shown strong performance on tool use, reasoning, and collaborative tasks. However, existing benc

Your doctor’s AI notetaker may be making things up, Ontario audit finds

Ontario's auditor general found that AI note-taking tools intended for use by doctors provided incorrect and incomplete information or demonstrated 'hallucinations,' and were not evaluated adequately.

industryars-technica

A Study on Hidden Layer Distillation for Large Language Model Pre-Training

model-releasesarxiv-cs-cl

arXiv:2605.11513v1 Announce Type: new Abstract: Knowledge Distillation (KD) is a critical tool for training Large Language Models (LLMs), yet the majority of research focuses on approaches that rely s

13 May 2026

An Empirical Study of Automating Agent Evaluation