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Llms

The Claude Code leak accidentally published the first complete blueprint for production AI agents. Here's what it tells us about where this is all going.

Most coverage of the Claude Code leak focuses on the drama or the hidden features. But the bigger story is that this is the first time we...

Reddit - Artificial Intelligence · 1 min ·
AI can push your Stream Deck buttons for you | The Verge
Llms

AI can push your Stream Deck buttons for you | The Verge

The Stream Deck 7.4 software update introduces MCP support, allowing AI assistants to find and activate Stream Deck actions on your behalf.

The Verge - AI · 4 min ·
Machine Learning

[D] Why I abandoned YOLO for safety critical plant/fungi identification. Closed-set classification is a silent failure mode

I’ve been building an open-sourced handheld device for field identification of edible and toxic plants wild plants, and fungi, running en...

Reddit - Machine Learning · 1 min ·

All Content

[2006.09534] Discriminative reconstruction via simultaneous dense and sparse coding
Machine Learning

[2006.09534] Discriminative reconstruction via simultaneous dense and sparse coding

Abstract page for arXiv paper 2006.09534: Discriminative reconstruction via simultaneous dense and sparse coding

arXiv - Machine Learning · 4 min ·
[2410.15281] LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trends
Llms

[2410.15281] LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trends

Abstract page for arXiv paper 2410.15281: LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments...

arXiv - AI · 4 min ·
[2410.10700] LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts
Llms

[2410.10700] LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts

Abstract page for arXiv paper 2410.10700: LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts

arXiv - AI · 4 min ·
[2408.13366] CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papers
Llms

[2408.13366] CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papers

Abstract page for arXiv paper 2408.13366: CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papers

arXiv - Machine Learning · 3 min ·
[2404.05290] MindSet: Vision. A toolbox for testing DNNs on key psychological experiments
Machine Learning

[2404.05290] MindSet: Vision. A toolbox for testing DNNs on key psychological experiments

Abstract page for arXiv paper 2404.05290: MindSet: Vision. A toolbox for testing DNNs on key psychological experiments

arXiv - AI · 4 min ·
[2401.11605] Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers
Machine Learning

[2401.11605] Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers

Abstract page for arXiv paper 2401.11605: Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers

arXiv - Machine Learning · 3 min ·
[2402.12760] A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis
Machine Learning

[2402.12760] A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis

Abstract page for arXiv paper 2402.12760: A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis

arXiv - AI · 4 min ·
[2603.19091] Position: Spectral GNNs Are Neither Spectral Nor Superior for Node Classification
Machine Learning

[2603.19091] Position: Spectral GNNs Are Neither Spectral Nor Superior for Node Classification

Abstract page for arXiv paper 2603.19091: Position: Spectral GNNs Are Neither Spectral Nor Superior for Node Classification

arXiv - Machine Learning · 4 min ·
[2603.24402] AI-Supervisor: Autonomous AI Research Supervision via a Persistent Research World Model
Machine Learning

[2603.24402] AI-Supervisor: Autonomous AI Research Supervision via a Persistent Research World Model

Abstract page for arXiv paper 2603.24402: AI-Supervisor: Autonomous AI Research Supervision via a Persistent Research World Model

arXiv - AI · 4 min ·
[2603.16951] Minimum-Action Learning: Energy-Constrained Symbolic Model Selection for Physical Law Identification from Noisy Data
Machine Learning

[2603.16951] Minimum-Action Learning: Energy-Constrained Symbolic Model Selection for Physical Law Identification from Noisy Data

Abstract page for arXiv paper 2603.16951: Minimum-Action Learning: Energy-Constrained Symbolic Model Selection for Physical Law Identific...

arXiv - Machine Learning · 4 min ·
[2603.23610] Environment Maps: Structured Environmental Representations for Long-Horizon Agents
Llms

[2603.23610] Environment Maps: Structured Environmental Representations for Long-Horizon Agents

Abstract page for arXiv paper 2603.23610: Environment Maps: Structured Environmental Representations for Long-Horizon Agents

arXiv - AI · 4 min ·
[2601.21747] Temporal Sepsis Modeling: a Fully Interpretable Relational Way
Machine Learning

[2601.21747] Temporal Sepsis Modeling: a Fully Interpretable Relational Way

Abstract page for arXiv paper 2601.21747: Temporal Sepsis Modeling: a Fully Interpretable Relational Way

arXiv - AI · 3 min ·
[2603.08561] RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback
Llms

[2603.08561] RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback

Abstract page for arXiv paper 2603.08561: RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback

arXiv - AI · 4 min ·
[2601.18420] Gradient Regularized Natural Gradients
Machine Learning

[2601.18420] Gradient Regularized Natural Gradients

Abstract page for arXiv paper 2601.18420: Gradient Regularized Natural Gradients

arXiv - AI · 4 min ·
[2511.07436] Analysing Environmental Efficiency in AI for X-Ray Diagnosis
Llms

[2511.07436] Analysing Environmental Efficiency in AI for X-Ray Diagnosis

Abstract page for arXiv paper 2511.07436: Analysing Environmental Efficiency in AI for X-Ray Diagnosis

arXiv - AI · 4 min ·
[2601.02856] Electricity Price Forecasting: Bridging Linear Models, Neural Networks and Online Learning
Machine Learning

[2601.02856] Electricity Price Forecasting: Bridging Linear Models, Neural Networks and Online Learning

Abstract page for arXiv paper 2601.02856: Electricity Price Forecasting: Bridging Linear Models, Neural Networks and Online Learning

arXiv - Machine Learning · 4 min ·
[2601.00428] Interpretable ML Under the Microscope: Performance, Meta-Features, and the Regression-Classification Predictability Gap
Machine Learning

[2601.00428] Interpretable ML Under the Microscope: Performance, Meta-Features, and the Regression-Classification Predictability Gap

Abstract page for arXiv paper 2601.00428: Interpretable ML Under the Microscope: Performance, Meta-Features, and the Regression-Classific...

arXiv - Machine Learning · 4 min ·
[2510.18087] Planned Diffusion
Llms

[2510.18087] Planned Diffusion

Abstract page for arXiv paper 2510.18087: Planned Diffusion

arXiv - AI · 4 min ·
[2509.23768] From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning
Llms

[2509.23768] From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning

Abstract page for arXiv paper 2509.23768: From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning

arXiv - AI · 3 min ·
[2512.18951] Benchmarking Attribute Discrimination in Infant-Scale Vision-Language Models
Llms

[2512.18951] Benchmarking Attribute Discrimination in Infant-Scale Vision-Language Models

Abstract page for arXiv paper 2512.18951: Benchmarking Attribute Discrimination in Infant-Scale Vision-Language Models

arXiv - Machine Learning · 3 min ·
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