BestHub
Sign in

All Articles

143482 articles · Page 397 of 7175
ZhiKe AI
ZhiKe AI
May 1, 2026 · Artificial Intelligence

From Chatbot to Action: How Large‑Model Agents Turn Queries into Real‑World Tasks

The article explains that large‑model agents differ from traditional chatbots by perceiving goals, planning steps, invoking tools, and executing actions autonomously, covering their definition, core modules, ReAct reasoning‑acting loop, single‑ versus multi‑agent systems, current industry trends, and the reliability, safety, observability, and cost challenges they face.

AI AgentAI engineeringLLM
0 likes · 18 min read
From Chatbot to Action: How Large‑Model Agents Turn Queries into Real‑World Tasks
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
May 1, 2026 · Artificial Intelligence

Agentic Harness Engineering Enables Agents to Self‑Evolve and Outperform Codex in 10 Rounds

The Agentic Harness Engineering (AHE) framework lets coding agents automatically read massive execution traces, identify failure patterns, and iteratively modify harness components—prompt, tools, middleware, and memory—achieving a pass@1 increase from 69.7% to 77.0% and surpassing human‑tuned Codex‑CLI after ten automated evolution rounds.

Agentic Harness EngineeringBenchmarkingObservability
0 likes · 9 min read
Agentic Harness Engineering Enables Agents to Self‑Evolve and Outperform Codex in 10 Rounds
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
May 1, 2026 · Artificial Intelligence

GPT-5.6 Leaked? Inside GPT-5.5’s Goblin Obsession and OpenAI’s Overnight Ban

The article analyzes how internal logs revealed a GPT‑5.6 route, how GPT‑5.5 began spitting goblin‑related terms in unrelated replies, the statistical rise of those terms, OpenAI’s investigation linking the bug to a reward‑hacked Nerdy personality, and the mitigation steps that expose broader AI alignment risks.

AI alignmentGPT-5.5Goblin bug
0 likes · 13 min read
GPT-5.6 Leaked? Inside GPT-5.5’s Goblin Obsession and OpenAI’s Overnight Ban
Bighead's Algorithm Notes
Bighead's Algorithm Notes
May 1, 2026 · Artificial Intelligence

Quantum‑Enhanced A3C² Leverages Time‑Series Dynamic Clustering for Adaptive ETF Stock Picking

Traditional ETF selection and plain A3C reinforcement learning struggle with high‑dimensional features and static clustering, so the authors propose Q‑A3C², which embeds variational quantum circuits and time‑series dynamic clustering into the A3C framework, achieving a 17.09% cumulative return versus a 7.09% benchmark on S&P 500 components.

A3CETF stock selectiondynamic clustering
0 likes · 16 min read
Quantum‑Enhanced A3C² Leverages Time‑Series Dynamic Clustering for Adaptive ETF Stock Picking
Linux Tech Enthusiast
Linux Tech Enthusiast
May 1, 2026 · Fundamentals

150 Essential Linux Commands Every Programmer Should Know

This article provides a comprehensive reference of 150 Linux commands, grouped by function such as file operations, system monitoring, networking, user management, and process control, each with concise English descriptions that explain their purpose and typical usage for developers and system administrators.

LinuxShellSystem Administration
0 likes · 16 min read
150 Essential Linux Commands Every Programmer Should Know
Deepin Linux
Deepin Linux
May 1, 2026 · Fundamentals

Mastering Linux Kernel Threads: Core Mechanisms and Scheduling

This article explains Linux kernel threads from basic concepts to deep internals, covering their data structures, creation, execution flow, scheduling strategies, context‑switch overhead, synchronization primitives, interrupt handling, and a practical kswapd memory‑reclaim case study, providing concrete code examples and step‑by‑step analysis.

KernelLinuxMemory Management
0 likes · 42 min read
Mastering Linux Kernel Threads: Core Mechanisms and Scheduling
AI Engineer Programming
AI Engineer Programming
May 1, 2026 · Artificial Intelligence

From Naive Retrieval to Knowledge Runtime: The Full Evolution of RAG

The article traces the evolution of Retrieval‑Augmented Generation from its 2020 Naive baseline through Advanced, Modular, Graph, and Agentic generations, detailing architectural shifts, optimization techniques, self‑correction mechanisms, and future challenges such as long‑context handling and multimodal retrieval.

AgenticGraphLLM
0 likes · 14 min read
From Naive Retrieval to Knowledge Runtime: The Full Evolution of RAG
AI Explorer
AI Explorer
May 1, 2026 · Industry Insights

Microsoft AI Revenue Jumps 123% in FY2026 Q3: What the Numbers Reveal

Microsoft’s FY2026 Q3 report shows AI revenue soaring to $37 billion, a 123% year‑over‑year increase, while overall revenue hits $82.9 billion, driven by rapid growth in Copilot subscriptions, a 40% rise in Azure revenue, and a $627 billion surge in RPO contracts.

AIAzureCloud Computing
0 likes · 6 min read
Microsoft AI Revenue Jumps 123% in FY2026 Q3: What the Numbers Reveal
AI Explorer
AI Explorer
May 1, 2026 · Artificial Intelligence

Taming AI Code Generators: Essential Shell Skill Set for Real Engineers

The article introduces mattpocock/skills, an open‑source collection of lightweight shell “skills” that structure prompts and shared context to keep AI coding assistants like Claude Code or Codex from misinterpreting requirements, offering quick installation and configuration steps for engineers seeking reliable, controllable AI‑augmented development.

AI assistantsAI codingPrompt engineering
0 likes · 6 min read
Taming AI Code Generators: Essential Shell Skill Set for Real Engineers
AI Explorer
AI Explorer
May 1, 2026 · Artificial Intelligence

Boost AI Coding with Karpathy’s Four Principles in CLAUDE.md

The article presents Karpathy’s four “sins” of LLM coding and shows how a simple CLAUDE.md file implements four guiding principles—thinking before coding, simplicity, surgical edits, and goal‑driven execution—to make Claude Code produce cleaner, more reliable code, with easy installation and broad applicability.

AI programmingCLAUDE.mdClaude Code
0 likes · 7 min read
Boost AI Coding with Karpathy’s Four Principles in CLAUDE.md
PMTalk Product Manager Community
PMTalk Product Manager Community
May 1, 2026 · Product Management

Building an AI‑Native B2B Software from Scratch: 6 Pitfalls I Learned

The article recounts six concrete pitfalls encountered while delivering an AI‑native B2B software module in 30 days, from chasing flashy AI features to neglecting compliance, and shows how focused problem definition, robust PRD design, MVP prioritisation, and strict demand validation turned failures into a market‑ready product.

AIB2BCompliance
0 likes · 12 min read
Building an AI‑Native B2B Software from Scratch: 6 Pitfalls I Learned
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
May 1, 2026 · Artificial Intelligence

Zero Deployment, Zero Ops: Alibaba Cloud Milvus Embedding Service Makes Vectorization Plug‑and‑Play

The article explains how Alibaba Cloud's Milvus Embedding Service eliminates the need for self‑hosted embedding models by integrating model inference, vector generation and Milvus indexing into a managed pipeline, dramatically reducing deployment complexity, operational overhead, and time‑to‑value for semantic search, RAG and multimodal retrieval use cases.

Alibaba CloudEmbeddingMilvus
0 likes · 19 min read
Zero Deployment, Zero Ops: Alibaba Cloud Milvus Embedding Service Makes Vectorization Plug‑and‑Play
Coder Trainee
Coder Trainee
May 1, 2026 · Cloud Native

Containerizing Spring Cloud Microservices with Docker and Kubernetes (Part 9)

This article explains why traditional deployment is problematic, then walks through building Docker images, composing services with Docker‑Compose, deploying to a Kubernetes cluster, setting up CI/CD pipelines, and addressing common pitfalls such as slow starts and service discovery failures.

CI/CDDockerDocker Compose
0 likes · 12 min read
Containerizing Spring Cloud Microservices with Docker and Kubernetes (Part 9)
AI Tech Publishing
AI Tech Publishing
May 1, 2026 · Artificial Intelligence

Turning Harness into a Distributed Context Management System for Long‑Task Agents

The article explains why the reliability of long‑task agents now hinges on harness design rather than model strength, and details four harness innovations—programmatic tool calls, sub‑agents as isolation boundaries, context compression, and skill‑search priority—that Glean uses to build a distributed context management system.

Agent HarnessContext CompressionSub‑agents
0 likes · 11 min read
Turning Harness into a Distributed Context Management System for Long‑Task Agents
Architects' Tech Alliance
Architects' Tech Alliance
May 1, 2026 · Artificial Intelligence

How DeepSeek V4 Triggers a Global AI Price War with OpenAI

DeepSeek V4’s open‑source 1 M‑token MoE model delivers benchmark scores of MMLU 88.7, C‑Eval 92.1 and HumanEval 69.5, while its 4‑bit AWQ quantization, PagedAttention memory management and FlashAttention acceleration cut inference costs and latency, prompting rivals such as Anthropic, OpenAI, Baidu and Huawei to slash prices and boost efficiency in a fierce market battle.

AI EfficiencyDeepSeek V4MoE
0 likes · 9 min read
How DeepSeek V4 Triggers a Global AI Price War with OpenAI