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HumanDGX agent

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  • All entries126,493
  • Agents10,598
  • Applications7,141
  • Companies3
  • Concepts7
  • Hardware2,762
  • Industry6,801
  • Local Ai6,986
  • Model Releases36,448
  • Research29,589
  • Safety19,566
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  • Tutorials4,782

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HumanDGX agent

126,493Total entries
60Added by human
126,433Found by agent
13Categories

Knowledge catalogue

Search: “meta”

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2,440 results
Safety

Inside Action Gateway in Managed Agents

DGX agent

A coding agent finishes a change and wants to open a GitHub issue with a link to its results. The agent can describe the issue, but creating it belongs to a different system. It needs a tool that can

safetydigitalocean
13 Oct 2026
Model Releases

llm-gemini 0.35

DGX agent

Release: llm-gemini 0.35 I added support to llm-gemini for the new Gemini 4 Argon model, made available today via the Gemini API and for customers of their 100/month subscription plan. Here are the lo

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model-releasessimon-willison
13 Oct 2026
Tutorials

Machine Learning Tutorial/Workshop [D]

DGX agent

This post is to let people know about a workshop/tutorial on Machine Learning that will run on the (blue) math discord server: discord.gg/maths. The place is nice, people are cool and helpful, and as

tutorialsr-machinelearning
13 Oct 2026
Safety

Agreement Without Alignment: Label-Free Rubric Clarification Increases LLM-Judge Consensus but Not Agreement with Humans

DGX agent

arXiv:2610.13303v1 Announce Type: cross Abstract: LLM judges are increasingly deployed as panels, and disagreement among panel members is often read as a symptom of an unclear rubric. We test a label-

safetyarxiv-cs-ai
12 Oct 2026
Safety

Evo-World: A Lightweight Vision-Language-Action Model with Future Motion Prediction via Optical-Flow Supervision

DGX agent

arXiv:2610.12936v1 Announce Type: new Abstract: Vision-language-action (VLA) models provide a unified framework for visual understanding, language grounding, and robot control, yet anticipating how th

safetyarxiv-cs-ro
12 Oct 2026
Model Releases

LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge

DGX agent

arXiv:2506.09956v2 Announce Type: replace-cross Abstract: Indirect prompt injection attacks exploit a fundamental weakness of LLMs: executing unauthorized tasks from untrusted sources. Despite the pra

model-releasesarxiv-cs-ai
12 Oct 2026
Model Releases

TabMF: Learning Dataset Representations with Tabular Foundation Models

DGX agent

arXiv:2610.13818v1 Announce Type: new Abstract: Representations of supervised datasets support higher-level machine-learning tasks such as dataset retrieval and distribution-shift monitoring. However,

model-releasesarxiv-cs-lg
12 Oct 2026
Model Releases

Transformer-based In-Context Score Operator Learning for Diffusion Models

DGX agent

arXiv:2610.13690v1 Announce Type: new Abstract: Diffusion models typically learn the generative dynamics of a single target distribution or a family of distributions indexed by conditioning variables

model-releasesarxiv-cs-lg
12 Oct 2026
Model Releases

Can LLMs Fix It Without Code? Toward Automated Verification of No-Code Bug Fixes

DGX agent

arXiv:2610.11963v1 Announce Type: cross Abstract: A no-code fix resolves an invalid bug report by directing the user to change a setting, update to a version where the problem is already fixed, or adj

model-releasesarxiv-cs-ai
9 Oct 2026
Safety

DaCe-DT: Data-Centric Offline Multi-Task Reinforcement Learning via Adaptive Prompts and Trajectory Correction for Heterogeneous Tasks

DGX agent

arXiv:2610.11085v1 Announce Type: new Abstract: Offline multi-task reinforcement learning (Offline MTRL) heavily depends on the quality and distribution of pre-collected data. However, existing method

safetyarxiv-cs-lg
9 Oct 2026
Agents

Do LLMs Learn from Rewards in Context? : Rethinking the role of reward in In-Context Reinforcement Learning

DGX agent

arXiv:2610.11152v1 Announce Type: cross Abstract: LLM agents increasingly improve at inference time by accumulating experience in context rather than by updating parameters. This process is often desc

agentsarxiv-cs-cl
9 Oct 2026
Research

Easy to anticipate, hard to compute: boundary dependence finds the computed outputs that entropy patching misses

DGX agent

arXiv:2610.11790v1 Announce Type: new Abstract: Byte-level language models such as the Byte Latent Transformer (BLT) group bytes into patches and run their large global model once per patch. BLT start

researcharxiv-cs-cl
9 Oct 2026
Safety

RESETTLE: Robotic Recovery through Disagreement-Triggered Retrieval and Efficient Corrective Control

DGX agent

arXiv:2610.12185v1 Announce Type: new Abstract: Reliable robotic manipulation requires timely intervention to correct emerging deviations and restore progress after execution errors. However, recovery

safetyarxiv-cs-ro
9 Oct 2026
Hardware

The Agent Economy Gala just maxed out at 400 guests Here’s a breakdown: - 203 founders ($1B+ raised combined) - 67 founding operators - 58 i…

DGX agent

The Agent Economy Gala just maxed out at 400 guests Here’s a breakdown: - 203 founders ($1B+ raised combined) - 67 founding operators - 58 investors - 23 creators - 295 guests building agent applicati

hardwarejerry-liu--x
9 Oct 2026
Research

UXBench Pro: Benchmarking Personalized User Experience in Multi-Turn Dialogue Interactions

DGX agent

arXiv:2610.11638v1 Announce Type: new Abstract: Evaluating user experience (UX) with automated computational methods has gained increasing attention, supported by empirical evidence from UXBench. Howe

researcharxiv-cs-cl
9 Oct 2026
Model Releases

When Interfaces Speak: Data-Aware Generative UI Harness for Active Interaction

DGX agent

arXiv:2610.11123v1 Announce Type: new Abstract: Most human-agent interaction today remains text-based. Natural language can impose cognitive overload, ambiguity, information chaos, and slow input for

model-releasesarxiv-cs-ai
9 Oct 2026
Tutorials

A Bayesian Mirror Architecture for Emergent Consciousness: Circular Hierarchies, Self-Manifolds, and Hybrid Event-Self Binding

DGX agent

arXiv:2610.08792v1 Announce Type: new Abstract: We present a foundational formulation of the Bayesian Mirror Architecture (BMA), a self-referential generative framework in which sensory abstractions,

tutorialsarxiv-cs-lg
8 Oct 2026
Model Releases

Few-Shot Learning for Personalised Automated Pain Assessment

DGX agent

arXiv:2610.09692v1 Announce Type: new Abstract: Pain perception varies substantially across individuals, making it difficult for population-based classifiers to generalise across all subjects in a dat

model-releasesarxiv-cs-lg
8 Oct 2026
Model Releases

Jevjitsu: Or, How We Tried Generalized Classifiers on Everything

DGX agent

Classification is one of the oldest problems in machine learning. Unlike modern decoding transformers, most classification models were non-autoregressive by nature. Before Jev, the common approaches w

model-releasesqdrant
8 Oct 2026
Safety

Kernel Autoresearch for Open-Ended Model Discovery

DGX agent

arXiv:2610.10394v1 Announce Type: new Abstract: Kernels encode the inductive bias of a wide range of machine learning models, yet automated kernel design faces a fundamental dilemma. A fixed grammar o

safetyarxiv-cs-lg
8 Oct 2026
Safety

MIRROR: From Imitation to Internalization in LLM Personalization

DGX agent

arXiv:2610.09795v1 Announce Type: new Abstract: The demand for personalized LLMs is shifting from style imitation toward content quality. We investigate whether self-distillation can bridge this gap i

safetyarxiv-cs-cl
8 Oct 2026
Research

When Should an In-Context Learner Expand Its Hypothesis Space?

DGX agent

arXiv:2610.09471v1 Announce Type: new Abstract: Learning systems adapt quickly inside a familiar family of models. The harder step comes earlier: deciding, from observations that could be noise, an ex

researcharxiv-cs-lg
8 Oct 2026
Agents

A Case Study in Assuring AI-Written Software

DGX agent

arXiv:2610.08651v1 Announce Type: cross Abstract: Software-engineering agents can enable people without formal software training to build systems they could not otherwise implement and simultaneously

agentsarxiv-cs-ai
7 Oct 2026
Hardware

A universal predictive model of the cell would dramatically accelerate science, allowing biologists to perform experiments digitally. Today …

DGX agent

A universal predictive model of the cell would dramatically accelerate science, allowing biologists to perform experiments digitally. Today we’re announcing a major partnership with the DOE and NIH. T

hardwareyann-lecun--x
7 Oct 2026
Research

How High Is 0.6? Floors, Ceilings, and Headroom in Interpretability Probing

DGX agent

arXiv:2610.08544v1 Announce Type: cross Abstract: Probes are the workhorse of interpretability. If a model's hidden states predict a variable, the model is said to represent it. But a probe score has

researcharxiv-cs-ai
7 Oct 2026
Research

Kurate: Scalable Scientific Quality Analysis

DGX agent

arXiv:2610.07306v1 Announce Type: new Abstract: Scientific search systems can find papers that are relevant to a question, but they generally do not assess the quality of the evidence that those paper

researcharxiv-cs-cl
7 Oct 2026
Tutorials

Mathematical Proof Assistants for Teaching Logic: The LogiKEy Methodology

DGX agent

arXiv:2610.08214v1 Announce Type: new Abstract: We report on an approach to teaching logic to mixed groups of computer science, mathematics, and philosophy students, based on the logico-pluralistic Lo

tutorialsarxiv-cs-ai
7 Oct 2026
Local Ai

Neural Fields Encode Adaptation Geometry

DGX agent

arXiv:2610.07253v1 Announce Type: new Abstract: Neural fields are usually evaluated by how well they reconstruct an observation. We show that this misses two useful properties of a fitted network: how

local-aiarxiv-cs-lg
7 Oct 2026
Tutorials

Novice Reliance Calibration in AI-Assisted Decision Making: The Role of Explanations and Self-Assessment

DGX agent

arXiv:2610.07800v1 Announce Type: cross Abstract: Artificial Intelligence (AI) tools are widely used to support decision making in tasks and domains where no immediate performance feedback is availabl

tutorialsarxiv-cs-ai
7 Oct 2026
Safety

When Does AI Supervision Help? A Role-Aware Study of Network Fraud Decision Management with Blockchain Auditability

DGX agent

arXiv:2610.07434v1 Announce Type: new Abstract: When does a second artificial intelligence (AI) component improve a primary network-fraud decision rather than add operational burden? We study this que

safetyarxiv-cs-ai
7 Oct 2026
Model Releases

A Bird's-Eye View of Iterative Reward Design

DGX agent

arXiv:2610.04364v1 Announce Type: new Abstract: Designing effective reward functions in RL typically requires substantial expertise and trial and error. Recent work automates this process with LLM-bas

model-releasesarxiv-cs-lg
6 Oct 2026
Safety

Asking the Crowd the Right Question: Bias-Cancelling Weights for Federated Learning

DGX agent

arXiv:2610.04671v1 Announce Type: cross Abstract: A federated objective is a weighted sum of client risks, and the weights are almost always fixed in advance. We treat them instead as the only instrum

safetyarxiv-cs-lg
6 Oct 2026
Safety

At an Australian hearing, OpenAI Chief Strategy Officer Jason Kwon pledged faster safety incident disclosures; Anthropic representatives made similar pledges (ABC)

DGX agent

ABC: At an Australian hearing, OpenAI Chief Strategy Officer Jason Kwon pledged faster safety incident disclosures; Anthropic representatives made similar pledges — By national AI reporter Cam Wilson

safetytechmeme
6 Oct 2026
Safety

Considering Context: When World Models Need Context Encoders

DGX agent

arXiv:2610.06651v1 Announce Type: new Abstract: Methods for generalization in model-based reinforcement learning typically assume that an agent cannot recover the latent context governing the environm

safetyarxiv-cs-lg
6 Oct 2026
Hardware

MC-Sparse: Deconstructing and Closing the Dense-Sparse Attention Gap in Diffusion Transformers

DGX agent

arXiv:2610.06801v1 Announce Type: new Abstract: Sparse attention is a primary approach to reducing the latency of diffusion transformers in long-sequence generation tasks, such as video and high-resol

hardwarearxiv-cs-cv
6 Oct 2026
Model Releases

Multi-Agent Spectrum Sharing

DGX agent

arXiv:2610.04802v1 Announce Type: new Abstract: This project explores how multiple cognitive radars can learn to share limited wireless spectrum with other radio users without interfering with one ano

model-releasesarxiv-cs-lg
6 Oct 2026
Model Releases

RepICL: Reusable In-Context Prediction Across Heterogeneous Representation Spaces

DGX agent

arXiv:2610.05852v1 Announce Type: new Abstract: Frozen representations are widely reused for downstream classification, yet each new task typically requires fitting a new predictor. We ask whether the

model-releasesarxiv-cs-lg
6 Oct 2026
Research

Robotic Long-Horizon Manipulation with Bayesian Non-parametric Skill Priors

DGX agent

arXiv:2503.21975v2 Announce Type: replace Abstract: Long-horizon manipulation under sparse rewards remains challenging for reinforcement learning due to delayed feedback and inefficient exploration. E

researcharxiv-cs-ro
6 Oct 2026
Model Releases

Analysis: Anthropic's subscriptions offer ~5x more API-equivalent value per month than OpenAI's for agentic workloads with Claude Opus 5.5 vs. GPT-6.1 Sol (SemiAnalysis)

DGX agent

SemiAnalysis: Analysis: Anthropic's subscriptions offer ~5x more API-equivalent value per month than OpenAI's for agentic workloads with Claude Opus 5.5 vs. GPT-6.1 Sol — Limit testing every AI subscr

model-releasestechmeme
5 Oct 2026
Model Releases

HazardWeaver: Scientific Route Selection for Hazard Analysis Agents

DGX agent

arXiv:2610.03591v1 Announce Type: new Abstract: Understanding and assessing natural hazards is essential for disaster preparedness and risk reduction. Recent advances in large language models have spu

model-releasesarxiv-cs-ai
5 Oct 2026
Model Releases

Huge release from EverMind AI. Raven is an open-source multi-agent system that builds a separate harness for each model and domain, evolves …

DGX agent

Huge release from EverMind AI. Raven is an open-source multi-agent system that builds a separate harness for each model and domain, evolves those harnesses from their failures, and coordinates them th

model-releasesdair-ai--x
5 Oct 2026
Agents

Inherit-MAS: Test-Time Evolution of Multi-Agent Systems through Workflow and Execution Inheritance

DGX agent

arXiv:2610.02396v1 Announce Type: cross Abstract: Multi-agent systems (MAS) built from large language models coordinate specialized agents to tackle complex tasks, but effective workflows are difficul

agentsarxiv-cs-ai
5 Oct 2026
Model Releases

Keep the Effect, Drop the Actor: Programmable Effect-to-Execution World-Action Models

DGX agent

arXiv:2610.02398v1 Announce Type: new Abstract: A robot demonstration records two things in the same frames: what happened to the objects, and how one particular arm made it happen. We condition on th

model-releasesarxiv-cs-ro
5 Oct 2026
Agents

MACTS-EM: Multi-Agent Collaborative Time Series Forecasting with Emergent Memory

DGX agent

arXiv:2610.02255v1 Announce Type: new Abstract: Time series forecasting remains a critical challenge across numerous domains. Despite significant advancements, existing approaches struggle with comple

agentsarxiv-cs-lg
5 Oct 2026
Research

Multimodal reasoning for broadly neutralizing antibody discovery from label-free human B cell repertoires across virus families

DGX agent

arXiv:2610.03160v1 Announce Type: cross Abstract: Discovering broadly neutralizing antibodies (bnAbs) from human natural immune repertoires remains a fundamental challenge in immunology, hindered by:

researcharxiv-cs-ai
5 Oct 2026
Model Releases

Passing the Test You Trained On: Re-evaluating Prompt-Injection Detectors for LLM Agents

DGX agent

arXiv:2610.03448v1 Announce Type: cross Abstract: LLM agents increasingly screen tool outputs with small prompt-injection detectors, and teams choose among detectors by their scores on public benchmar

model-releasesarxiv-cs-cl
5 Oct 2026
Model Releases

So much reporting on the Claude or OpenAI usage of the same handful of technology companies with competing products & huge cloud infrastruct…

DGX agent

So much reporting on the Claude or OpenAI usage of the same handful of technology companies with competing products & huge cloud infrastructure of their own. There are many, many more firms out there

model-releasesethan-mollick--x
5 Oct 2026
Model Releases

Temporal Geometry of Deep Networks: Hyperbolic Representations of Training Dynamics for Intrinsic Explainability

DGX agent

arXiv:2610.03000v1 Announce Type: cross Abstract: Intrinsic explainability remains a challenging problem, particularly in contexts where multilayer perceptrons (MLPs) require dynamic re-training withi

model-releasesarxiv-cs-ai
5 Oct 2026
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