#causal inference

153 related articles

Aug 3, 2026·4 min

Walsh Multi-Agent Trading System: How Risk Management Veto Power Ensures AI Autonomous Decision-Making Safety

Deep dive into the Walsh multi-agent trading system architecture, exploring how its risk management agent with veto power establishes safety boundaries for AI autonomous decision-making.

Aug 2, 2026·5 min

Flux 3 Video Generation Experience: Home Movie Style and Prompt Optimization Capabilities

In-depth analysis of Flux 3 video generation model's home movie style capabilities, intelligent prompt optimization, Hermes Agent usage experience, and outlook for official release.

Aug 2, 2026·4 min

17M-Parameter Transformer for Blood Glucose Prediction: Open-Source Diabetes AI Model Explained

An open-source blood glucose prediction model using BERT-style Transformer architecture with only 17M parameters, running on mobile devices with DILATE and Pinball loss for 2-hour glucose forecasting.

Aug 1, 2026·2 min

General Agents Are Essentially Coding Agents: The Paradigm Shift from Tool Calling to Code Execution

Explore why general AI agents are essentially coding agents. From Turing completeness to composability and verifiability, discover the paradigm shift from Function Calling to Code as Action.

Jul 31, 2026·3 min

Orca-Bench: Evaluating Whether AI Agents Can Handle Production Oncall Duties

Orca-Bench is a benchmark for evaluating AI agents' operational capabilities, testing LLMs on fault diagnosis, multi-tool orchestration, and risk decisions in simulated Oncall scenarios.

Jul 31, 2026·3 min

Is AI Reasoning Real or Fake? Right Answers, Wrong Reasons

AI aces reasoning tests but may reason incorrectly. This article analyzes fake reasoning behind correct answers in LLMs, covering data contamination, memory effects, and methods like process supervision and counterfactual testing.

Jul 31, 2026·3 min

Gemini Robotics 2 Explained: Google's AI Brain for Embodied Intelligent Robots

Deep dive into Google DeepMind's Gemini Robotics 2: its whole-body intelligence, dexterous manipulation, adaptive reasoning, and how multi-robot collaboration is advancing embodied AI from lab to reality.

Jul 31, 2026·3 min

Gemini Robotics 2 Explained: Google's AI Brain for Embodied Intelligent Robots

Deep dive into Google DeepMind's Gemini Robotics 2: its three core capabilities of whole-body intelligence, dexterous manipulation, and adaptive reasoning, plus how multi-robot collaboration is pushing embodied AI from labs into the physical world.

Jul 30, 2026·3 min

Reproducing GPT-2: How a Hidden Bug Affected Weight Training

An in-depth analysis of a hidden bug discovered while reproducing GPT-2 from scratch, revealing how implementation errors silently degrade weight quality and sharing practical debugging methodologies.

Jul 30, 2026·4 min

More Imitation Learning Data Leading to Worse Results? A Deep Dive into Compounding Errors and Data Quality Traps

Through a real game AI navigation case, this article deeply analyzes why more data can worsen imitation learning, covering compounding errors, distribution shift, data quality issues, and DAgger solutions.

Jul 30, 2026·4 min

More Imitation Learning Data Makes Things Worse? A Deep Dive into Compounding Errors and Data Quality Traps

Through a real game AI navigation case, we deeply analyze why more data can worsen imitation learning, covering compounding errors, distribution shift, data quality issues, and DAgger solutions.

Jul 30, 2026·3 min

Modulify 2.0 Deep Dive: How a Full-Lifecycle AI Website Platform Keeps Sites Growing

Deep analysis of Modulify 2.0's full-lifecycle AI website platform — from design and publishing to management and optimization. Exploring its core differences from traditional AI builders.

Jul 30, 2026·5 min

Robynn AI: Automated Website Repair and SEO Optimization Through Self-Learning Agents

Robynn AI is a self-learning website operations tool that uses intelligent auditing, natural language editing, and data-driven auto-rollback to solve post-launch decay issues like broken links and ranking drops.

Jul 30, 2026·2 min

OpenAI Commits $17 Million to Support U.S. Department of Energy's Genesis Mission to Accelerate Scientific Discovery

OpenAI commits $17M to support the DOE's Genesis Mission, expanding frontier AI access and deepening collaboration to accelerate fundamental scientific research in the U.S.

Jul 30, 2026·2 min

OpenAI Commits $17 Million to Support the U.S. Department of Energy's Genesis Mission to Accelerate Scientific Discovery

OpenAI commits $17M to the DOE's Genesis Mission, expanding frontier AI access and deepening collaboration to accelerate fundamental scientific research in the U.S.

Jul 30, 2026·4 min

AI Agent Memory Systems: Genuine Technical Progress or RAG in Disguise?

In-depth analysis of AI agent memory systems: examining whether current improvements represent real progress or just RAG repackaged, and what architectural changes are truly needed.

Jul 29, 2026·3 min

AI Fact-Checking Tools Explained: How Agent Skills Automatically Detect Misinformation

Deep dive into how AI fact-checking tools like Bullshit Detector work, exploring how Agent Skills extract claims, retrieve evidence, and cross-validate to automatically detect online misinformation.

Jul 28, 2026·2 min

Training AI to Play Devil May Cry 3 with Reinforcement Learning: Challenges and Practices in Action Game AI

An indie developer trains AI to autonomously play Devil May Cry 3 using reinforcement learning. Explore the core challenges of action game AI including sparse rewards, high-dimensional action spaces, and real-time decision-making.

Jul 28, 2026·2 min

Training AI to Play Devil May Cry 3 with Reinforcement Learning: Challenges and Practices for Action Game AI

An indie developer trains AI to autonomously play Devil May Cry 3 using reinforcement learning. This article analyzes the core challenges including sparse rewards, high-dimensional action spaces, and real-time decision-making.

Jul 28, 2026·3 min

From Demo to Production: The Real Challenges of Deploying LLM Systems

Deep analysis of deploying LLM systems from prototype to production: a real-world AI incident investigation assistant case study revealing key engineering challenges beyond the model.