#AI编程
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GPT-6.1 Terra Hands-On: Insanely Fast, But Prone to Giving Up Midway?
Bilibili hands-on test of OpenAI GPT-6.1 Terra: insanely fast, priced at $1/M input and $5/M output, coding ability between Luna and Soul. Computer use is decent on Mensa tests but tends to give up early on robotic arm and Blender tasks. Simple but capable game dev, with recurring inverted-controls issues needing follow-up fixes.
GPT-6.1 Terra Hands-On: Blazing Fast, but Outperformed by DeepSeek?
GPT-6.1 Terra vs DeepSeek hands-on: four front-end tasks done in under 5 minutes, but completion and detail lag clearly behind. We break down official benchmarks, third-party reviews, and real experience to reveal the trade-offs behind the speed.
GPT-6.1 Terra Hands-On Test: Builds a 3D House in 56 Seconds, 5x Faster Than Soul and Cheaper
Hands-on test of GPT-6.1 Terra: same floor plan, Terra builds a 3D house in 56 seconds—5x faster than Soul and 15x cheaper than Astra. Full comparison of speed, quality, and cost across four tiers, plus trap-question tests and buying advice.
Trace Canvas 0.3.0 Tutorial: Manage Multiple AI Agents with a Single Map
Trace Canvas 0.3.0 full tutorial: use a local canvas to map multiple AI agent sessions as a subway line diagram — split lines by project, branch by Git branch, and manage goals, to-dos, session logs, diff comparison, and multi-machine sync.
AI Stealing Programming Jobs? Computer…
AI Stealing Programming Jobs? Computer Science Enrollment Cools
Hacker News discussion shows AI job replacement expectations are affecting CS enrollment. Analysis of three forces, debate, and implications for curricula and students.
Claude Code Installation Guide for China: Bypass Login and Avoid Bans with CC Switch
Claude Code installation guide for China: use NPM to avoid permission errors, bypass account login and bans with CC Switch, plus four permission modes and prompt-writing tips.
Claude Code + DeepSeek Tutorial: China Mirror + Official Configuration
A complete tutorial for integrating Claude Code with DeepSeek: Node.js setup, China mirror speedup, nine-setting configuration, and real cost comparison of Flash vs. Pro models.
AI Large Model Interview Deep Dive: Agent Architecture and Project Practice
A Bilibili creator shares an in-depth AI large model interview guide: a three-month learning path covering Agent architecture, prompt engineering, the full RAG pipeline, and hands-on projects, teaching you how to speak with depth and avoid quick-success traps.
Stanford CS336: The Hardcore Philosophy of Building Large Models from Scratch
An in-depth look at Stanford CS336's third iteration: why building large models from scratch still matters. Covers BPE tokenization, Transformer architecture, systems optimization, scaling laws, data processing, and RLHF alignment, emphasizing efficiency thinking and transferable mechanics and intuitions.
Carnegie Mellon's Agent Course: Agent Development from Tool Calling to Reinforcement Learning
A comprehensive breakdown of Carnegie Mellon's 11-768 "AI Agents" course: from the basic agent loop and tool calling to six core capabilities, LLM training versus harness engineering, and systems engineering practices such as sandboxes, monitoring, and reinforcement learning.
Integrating Claude and Codex in Android Studio: A Complete Guide to ACP Configuration
Android Studio Rabbit 2 integrates Claude, Codex, and 40+ coding agents via ACP, with Android CLI as a plugin for Claude Code and Codex. Covers setup, two-way integration, and pitfalls.
Andrew Ng Teams Up with Anthropic to Launch Free MCP Course: A Complete Guide from Fundamentals to Deployment
Andrew Ng and Anthropic's free MCP course explains the Model Context Protocol's client-server architecture, MCP server construction, third-party integration, and remote deployment, with a full course breakdown and learning path recommendations.
LLM for Absolute Beginners: A Complete Learning Path from Principles to Practice
From Python, math, and PyTorch prerequisites to the BERT vs. GPT route debate, the probabilistic nature of models, the four-stage pretraining/SFT/RLHF pipeline, Top-k, Top-p, Temperature decoding strategies, and LangChain practice—a systematic learning path for LLM beginners from zero to hands-on.
What Is SFT Actually Training? Breaking Down the Core Logic of Supervised Fine-Tuning
What is SFT actually training? This article breaks down its definition, objective, and behavior-cloning essence, analyzes data sources and quality gates, and confronts three limitations: cost, ambiguity, and no preference ranking.
Building a Fault-Tolerant Multi-Model CLI Assistant with Langchain and Pydantic
Based on Reddit community practices, learn how to build a fault-tolerant multi-model CLI AI assistant from scratch with Python, Langchain, and Pydantic, covering failover, fallback chains, and response validation.
Security Engineer Pushes Back on Anti-AI Bias: Does Writing Code with AI Really Mean 'Vibe Coding'?
A senior security engineer speaks out on Reddit against community bias toward AI-assisted development: any project touching AI gets mocked as vibe coding. The article sorts out vibe coding's original definition, the stance shifts from DHH and the Linux kernel, and explores the real issues of AI code review and accountability.
Inside DevBox: How a Full-Agent-in-Sandbox Architecture Generates PRs Automatically
DevBox builds a full-agent-in-sandbox architecture on Deep Agents to turn tasks into draft PRs, covering credential security, state persistence, agent handoff, and cold-start trade-offs.
LangGraph & DeepAgents Decision Models in Practice Meetup
A Meetup involving Typesafe (creators of Jev) will explore using decision models in LangGraph and DeepAgents. This article covers the event background, the value of decision models, and who should attend.
Prototype First, Then Let the Agent Build: A New Approach to AI Development
This article explores the practice of prototype verification (spike) before letting an Agent build in AI development, emphasizing experimental comparison and visualization for efficient human-machine collaboration.
ChatGPT's Dot Can Now Send Texts, Google Releases Gemini 4 Carbon | AI News Roundup
ChatGPT's Dot supports iMessage/RCS texting as proactive assistants enter daily life; Google releases Gemini 4 Carbon within two weeks and opens the Connect Apps platform; Anthropic launches the Claude 4 Legal tool library for lawyers; NVIDIA open-sources a speech-to-text model, and MiniCPM-OCR runs locally on Apple chips. This issue of AI News features 17 selected updates.