PyTorch Beginner’s Guide: Autograd, Gradient Descent, detach(), and Linear Regression Training

by

This article focuses on practical PyTorch fundamentals. It explains autograd, gradient descent, tensor detachment with detach(), and the full linear regression training workflow, helping beginners move beyond writing code to truly understanding backpropagation and parameter updates. Keywords: PyTorch, autograd, linear regression. The technical specification snapshot summarizes the stack and task scope. Parameter Description Language Python … Read more

AI Chips, RISC-V, and Agentic Programming Are Accelerating Together

by

Over the past two days, the technical direction has become clear: in-house AI chip development and price increases are happening in parallel, RISC-V is moving from experimentation to volume production, AI coding tools are entering the autonomous execution phase, and edge AI continues to move down to endpoint devices. Keywords: AI chips, RISC-V, Agent. Technical … Read more

MongoDB Production Deployment and Security Hardening on Linux: Authentication, Roles, Firewall Rules, and Secure Remote Access

by

This article focuses on MongoDB production deployment and security hardening on Linux, addressing common risks such as permissive default settings, unauthorized access, and insecure remote connections. It covers installation, authentication, role separation, firewall strategy, and remote access with cpolar. Keywords: MongoDB security hardening, Linux deployment, remote access. Technical Specifications at a Glance Parameter Details Runtime … Read more

OpenClaw BOOT.md Startup Task Configuration Guide: Auto-Load Memory and Restore Tasks at Launch

by

OpenClaw’s BOOT.md automatically handles initialization before each session starts, solving recurring problems such as repeated context acquisition, poor cross-day task recovery, and opaque environment issues. Its core capabilities include memory loading, task restoration, and environment self-checks. Keywords: OpenClaw, BOOT.md, startup tasks. Technical Specifications Snapshot Parameter Description Project/Mechanism OpenClaw startup task configuration Core Files BOOT.md, HEARTBEAT.md, … Read more

Transformer Time Series Modeling in Practice: From Moving Average Baselines to Stock Sequence Classification

by

Technical Specification Snapshot Parameter Description Primary Language Python Deep Learning Framework TensorFlow / Keras Data Processing NumPy, Pandas Visualization Matplotlib Evaluation Metrics MSE, Classification Accuracy Data Type Univariate stock closing price time series Modeling Approach Sliding Window + Transformer Encoder GitHub Stars Not provided in the original article Core Dependencies tensorflow, keras, numpy, pandas, matplotlib, … Read more

pi0.7 Technical Deep Dive: How 4-Layer Prompts, World Models, and Cross-Embodiment Generalization Redefine General-Purpose Robot VLA

by

pi0.7 is a controllable general-purpose robot foundation model. Its core idea is to turn subtask instructions, subgoal images, episode metadata, and control mode into a four-layer prompt, allowing a Vision-Language-Action (VLA) model to do more than imitate: it can compose skills, transfer across robots, and follow complex instructions. It addresses three persistent pain points: unified … Read more

From Asimov’s Three Laws to the Zeroth Law: Machine Ethics Hierarchy and Formal Modeling

by

This article focuses on Asimov’s Three Laws of Robotics and the Zeroth Law, explaining how machine ethics shifts from “protecting individuals” to “governing the whole,” and providing a practical framework for formal rule modeling. The core challenge is this: sweeping goals can easily obscure individual rights, while systems often lack interpretable constraints. Keywords: machine ethics, … Read more

andrej-karpathy-skills Deep Dive: Four Principles That Make AI Coding Reliable

by

andrej-karpathy-skills uses a CLAUDE.md file to constrain AI coding behavior. Its core goal is to solve common LLM failure modes in software development, including blind assumptions, overengineering, unrelated code changes, and lack of validation. Keywords: AI coding, Karpathy principles, Claude Code. Technical specifications show the project at a glance Parameter Details Project Name andrej-karpathy-skills Primary … Read more

GitOps-Driven Kubernetes Configuration Version Management Best Practices

by

This guide presents a GitOps-centered approach to Kubernetes configuration version management. Its core capability is to bring YAML, Helm, Kustomize, and cluster state under unified Git version control to solve configuration drift, uncontrolled changes, and difficult rollbacks. Keywords: GitOps, Kubernetes, configuration governance. Technical Specification Snapshot Parameter Description Language YAML, Shell, Git workflows License CC 4.0 … Read more

Flutter on OpenHarmony: Fix HAP Signature Verification and hdc Debug Port Issues

by

This article focuses on practical Flutter-to-OpenHarmony adaptation. It covers project integration, HAP build and installation, the hdc debugging workflow, and fixes for two high-frequency issues: signature verification failures and port forwarding failures. It is designed for teams migrating existing Flutter projects to OpenHarmony. Keywords: Flutter, OpenHarmony, signature debugging. Technical specifications at a glance Parameter Description … Read more