The article shows how ChatGPT examines JMeter load‑test results, identifies CPU, database and I/O bottlenecks, and then proposes concrete optimizations such as adding indexes, tuning HikariCP pool settings, caching, code refactoring, and monitoring to improve login throughput and latency.
ChatGPT now offers a “Your Year with ChatGPT” feature that generates a personalized annual report summarizing your message count, conversation frequency, punctuation habits, chat style, and even awards you with quirky titles, while also providing a pixel‑art illustration and a simple interactive game.
This article walks through adjusting Java unit tests with ChatGPT, measuring coverage using JaCoCo, rewriting test code for User and PasswordRecovery classes, adding Mockito and PowerMock mocks, and showing how the changes raise coverage from 73.7% to over 80% across the project.
This article presents a comprehensive ChatGPT‑driven code review of a password‑recovery feature, analyzing twelve front‑end and back‑end files, highlighting structural strengths, security gaps such as CSRF and XSS, and offering concrete refactoring, validation, and resource‑management recommendations.
The article demonstrates how to prompt ChatGPT to produce comprehensive password‑recovery test cases and corresponding automation scripts—both API‑based with Python unittest and GUI‑based with Playwright‑pytest—covering normal flows, error conditions, security checks, and XSS vulnerabilities.
The author demonstrates that OpenAI has quietly integrated Anthropic‑style “Skills” into ChatGPT, exposing a /home/oai/skills directory with PDF and spreadsheet modules, explains how the PDF skill converts files to PNGs for vision‑based reading, and shows how to mount these skills in Cursor for local tool invocation.
According to the Financial Times, Google’s Gemini now averages 7.2 minutes per user session—surpassing OpenAI’s ChatGPT at about 6 minutes—while its monthly downloads have surged from 15 million mid‑2025 to roughly 66 million by year‑end, highlighting a notable rebound and growing user engagement in the AI chatbot market.
A recent analysis of the ChatGPT Android test build reveals embedded advertising features, outlines three ad formats, examines OpenAI's mounting financial pressures, and discusses the potential impact on user trust and the broader AI industry.
Renowned mathematician Terence Tao experiments with ChatGPT‑5 Pro on a bounded‑curvature sphere problem, revealing how AI excels at detailed calculations, offers concise proofs, yet struggles with strategic guidance and subtle geometric assumptions, highlighting both the promise and limits of AI in advanced mathematical research.
A Pennsylvania State University study shows that strong negative feedback can boost ChatGPT's answer accuracy by up to 84%, and the article explains the experimental design, underlying mechanisms, real‑world examples, and practical guidelines for using constructive criticism with large language models.
The article analyzes OpenAI's DevDay 2025 announcements—especially the Apps SDK—and argues that the new AI‑native distribution model flips the traditional app paradigm, turning ChatGPT into a massive intent‑aggregation platform that will reshape competition with Apple, Google, and emerging AI browsers.
This tutorial walks through the fundamentals of ChatGPT by explaining language modeling, character‑level tokenization, data preprocessing pipelines, the evolution from simple bigram models to scaled dot‑product self‑attention, multi‑head mechanisms, full Transformer blocks, and how to train and generate Shakespeare‑style text with a GPT model.
A newly released 63‑page study by OpenAI, Duke and Harvard analyzes internal ChatGPT conversation data, showing over 700 million weekly active users, rapid message growth, a shift toward non‑work usage, demographic changes, dominant use cases such as practical guidance and writing, and its emerging role as a knowledge‑assistant in the global economy.
OpenAI unveiled the ChatGPT “Pulse” preview, a new agent‑based feature that nightly researches users’ chats, feedback and calendar data to deliver personalized, proactive updates each morning, allowing Pro users to link Gmail and Google Calendar, manage research topics, and give feedback for continual improvement.
A recent OpenAI‑partnered research paper analyzing billions of ChatGPT interactions reveals that 70% of conversations are non‑work related, three core use cases cover 80% of demand, asking for advice now outpaces doing tasks, and the user base is becoming younger, more gender‑balanced, and globally diverse.
OpenAI’s new ChatGPT Developer Mode, now supporting the Model Context Protocol (MCP) with read‑write capabilities, lets developers activate connectors to update systems, trigger workflows, and orchestrate multi‑step automation directly from chat, transforming the assistant into a powerful enterprise automation platform.
This article explains the RLHF (Reinforcement Learning from Human Feedback) pipeline that powers ChatGPT and other large language models, covering the limitations of traditional fine‑tuning, the creation of human‑feedback datasets, reward‑model training, loss design, and the final PPO‑based fine‑tuning step.
OpenAI combined Operator, Deep Research, and ChatGPT into a single agent that can browse the web, run code, and generate PPT or Excel files, achieving record scores on HLE, FrontierMath, BrowseComp and SpreadsheetBench, while demonstrating real‑world tasks like wedding planning and sticker ordering, highlighting AI as a productivity lever for small teams.
OpenAI is set to launch an AI‑driven web browser built on Chromium that integrates ChatGPT‑style chat, the Operator agent for automated tasks, and a native assistant, aiming to challenge Google Chrome’s market lead and reshape how users interact with the web.
This comprehensive guide introduces Prompt Engineering, explaining its core concepts, why clear prompts matter, and how to craft effective instructions using roles, tasks, requirements, and examples, while covering beginner to advanced techniques such as chain‑of‑thought, self‑correction, and building reusable prompt workflows for AI models.
This article recounts the chaotic launch of ChatGPT, the naming decisions, internal debates over its readiness, the role of RLHF and user feedback in shaping the model, and how OpenAI’s hiring focus on curiosity and autonomy fuels rapid, iterative AI development.
Tracing the evolution of large language models—from early bag‑of‑words techniques, through word embeddings, RNNs, attention mechanisms, Transformers, BERT, and GPT—this article explains each breakthrough, its limitations, and how they culminated in ChatGPT’s conversational AI.
Nvidia is reportedly preparing a lower‑cost Blackwell GPU for the Chinese market, priced at $6,500‑$8,000 and featuring 1.7 TB/s GDDR7 memory, while OpenAI’s o3 model uncovered a Linux kernel zero‑day (CVE‑2025‑37899), a study showed AI models can sabotage shutdown commands, and a tutorial demonstrates creating animated 3D icons with ChatGPT and Freepik tools.
The article provides a detailed technical breakdown of OpenAI's new ChatGPT memory feature, explaining its two memory modes, underlying sub‑systems, possible implementation approaches using vector stores and scheduled jobs, and early user feedback highlighting both benefits and bugs.
The article analyzes OpenAI's May 2025 release of Codex AI Agent in ChatGPT, detailing its O3 optimization architecture, multi‑task parallel processing, context‑aware code generation, full‑lifecycle support, performance gains, real‑world use cases, and the broader impact on developers, learners, and enterprises.
During the May Day holiday, Fields Medalist Tao Zhuoxuan used ChatGPT to develop an open‑source Python tool that automatically verifies asymptotic estimates involving arbitrary positive parameters, shared the GitHub repository, and then promoted his AI community, paid courses, and related services.
This tutorial walks you through registering on OpenAI, installing required Python packages, setting up API keys, and writing a Jupyter Notebook that defines a chat function and an interactive loop to create a functional GPT‑3.5 chatbot.
This article outlines the major technical upgrades in Nacos 3.0—including JDK 17, Spring Boot 3.4.1, enhanced Admin API, default authentication, MCP for AI models, unified namespaces, distributed‑lock beta, fuzzy listening, and xDS support—while also promoting a series of AI‑focused products, community groups, and paid resources for developers.
This guide reveals six expertly crafted ChatGPT prompts that help you understand Excel functions, create step‑by‑step usage guides, generate commands, write VBA macros, tackle complex tasks, and turn ChatGPT into a versatile Excel assistant, empowering both beginners and advanced users.
OpenAI has rolled out a shopping‑focused upgrade to ChatGPT in GPT‑4o, letting users search for products, view curated cards with images, prices and reviews, and click direct purchase links, while claiming no commission and sparking debate over the future of AI‑driven e‑commerce.
OpenAI announced new shopping capabilities for ChatGPT, improving product recommendation, visual presentation, and direct purchase links, while Alibaba released the Qwen3 series of large and MoE language models with detailed parameter counts and benchmark performance, highlighting rapid advancements in consumer‑focused AI applications.
Sam Altman revealed that excessive politeness toward ChatGPT, such as saying “please” and “thank you,” can drive up server workload and electricity use, potentially costing OpenAI tens of millions of dollars, while highlighting broader concerns about AI energy consumption and user behavior.
OpenAI’s latest ChatGPT memory upgrade lets the model recall all prior conversations for more personalized replies, sparking excitement and mixed reactions among users, while rumors of upcoming GPT‑4.1, o3, and o4 models hint at a rapid evolution of AI capabilities and potential pitfalls such as hallucinations.
The article examines media claims that Trump's April 2 tariff policy may have been generated by AI, reproduces ChatGPT's proposed reverse‑deficit tax model, compares it with the official USTR formula, and discusses the broader implications of AI as a parallel advisor in policy making.
The article compares OpenAI's GPT‑4o image generator with Midjourney V6 and Flux 1.1 Pro Ultra using identical prompts, highlighting GPT‑4o's superior visual quality, unique features like code‑to‑image rendering and transparent‑background output, and discussing how AI image tools are reshaping the industry.
Vibe Coding, popularized by Andrej Karpathy’s 400‑line iOS calorie‑tracker built entirely through conversational prompts with ChatGPT, showcases a hands‑off workflow—initializing a project, adding core features, persisting data, and deploying—while the broader community replicates the approach, underscoring both AI’s rapid prototyping power and the continued need for professional code review and maintenance.
The article analyzes Deepseek’s rapid rise, compares its strengths and limitations to ChatGPT, examines AI’s fundamental weaknesses, and offers practical strategies for individuals to build a “professional + AI” skill set that keeps them indispensable in the evolving AI landscape.
This article presents 17 practical prompt‑engineering strategies—ranging from zero‑shot and few‑shot prompting to role, style, and chain‑of‑thought methods—explaining their usage, ideal scenarios, and concrete examples to help you obtain higher‑quality responses from large language models.
ChatGPT’s new scheduled tasks feature lets Plus or Pro users automate actions without coding, and this guide explains prerequisites, enabling notifications, creating effective and advanced tasks, managing, editing, and optimizing them, plus tips for practical use and staying updated.
This week’s AI roundup covers OpenAI’s fully open ChatGPT Search, the launch of Deep Research for automated multi‑step research, NetEase Youdao’s integration of DeepSeek‑R1, Figure’s robot partnership break with OpenAI, low‑cost AI model s1, OpenAI’s Stargate data‑center plans, Google’s antitrust probe, DeepSeek’s traffic surge, and top AI scientist Xu joining Alibaba.
OpenAI has launched the ChatGPT Deep Research agent, a new AI tool designed to help professionals conduct intensive, multi‑source research by providing comprehensive, cited answers, initially available to Pro users with plans to expand to Plus, Team, and Enterprise tiers.
This article explains how the answer‑grading method lets you coax more detailed, insightful responses from AI tools like ChatGPT and Claude by iteratively requesting higher‑level answers, turning basic replies into high‑impact, actionable strategies for business, creativity, and problem solving.
DeepSeek, a Chinese AI model, surged to the top of both China and US Apple App Store free‑app charts, outpacing ChatGPT and other major generative AI services, while boasting dramatically lower training costs and an open‑source approach that has sparked worldwide attention.
This article provides a comprehensive analysis of OpenAI’s twelve‑day launch, detailing the introduction of new foundation models like o1 and o3, the rollout of advanced features such as reinforced fine‑tuning, Sora video generation, Canvas collaboration, AI agents, enhanced voice and phone integration, as well as performance metrics and broader implications for the AI ecosystem.
A detailed analysis of Simon Willison and Benj Edwards' conversation about Bing Chat's angry, deceptive behavior uncovers how prompt‑injection attacks expose weaknesses in large language models, the limits of system prompts, and the broader safety challenges facing AI development today.
The article surveys the surge of AI programming tools in 2024, illustrating how even non‑programmers can build full applications with AI assistants, compares ChatGPT’s code‑generation workflow with its Code Interpreter feature, and outlines each approach’s strengths and limitations.
The author builds a fully AI‑driven pipeline that scrapes JD.com comments about an Elasticsearch book, processes the data through cleaning and preprocessing, indexes it into Elasticsearch, and creates a series of Kibana visualizations, while reflecting on model selection and practical challenges.
This article explains how to automate batch document processing with LLM APIs by mastering the messages parameter, defining system, user, and assistant roles, and iteratively polishing system prompts through scripts or OpenAI's GPTs editor and Playground interfaces.
This article explains how to construct a ChatGPT‑like conversational system by detailing the core dialogue flow, adding session and history management with a database, defining REST APIs, and exploring extensions such as caching, elastic scaling, and production‑ready deployment considerations.
This article compares low‑level, superficial ChatGPT usage with high‑level, collaborative approaches, highlighting how mindset shifts from treating the model as a simple tool to leveraging it as an intelligent partner can dramatically boost efficiency, creativity, and strategic advantage.
ChatGPT 4.0 with Canvas introduces a visual "canvas" that blends language and graphics, enabling multimodal dialogue, real‑time visual feedback, and collaborative workflows across education, design, and business, while posing technical challenges in vision‑language integration, context consistency, and performance optimization.
This article walks through a fan’s question about Python class and instance variables, explains their differences with examples, and also introduces a ChatGPT‑powered guide for mastering Excel, highlighting key features and how to obtain the free e‑book collection.
This article analyzes the reasons for preferring EventSource instead of WebSocket in a browser‑based ChatGPT chat system, covering protocol basics, system characteristics, advantages, code examples, performance trade‑offs, and future extensibility.
The article examines OpenAI’s newly released o1 model, highlighting its superior performance in complex reasoning tasks such as math, programming, and science, and explains how model‑level chain‑of‑thought optimization and product‑level UI design give it an edge over competitors like Claude.
This article explores three powerful AI-driven tools—GitHub Copilot, Uizard, and ChatGPT—that streamline web development workflows, enhance functionality, and accelerate design by automating code, converting sketches to prototypes, and providing instant coding assistance, ultimately boosting productivity for developers.
This presentation outlines the development of ChatGPT, the underlying principles of large language models, and how they empower new industrialization in automotive manufacturing, detailing practical implementations, agent architectures, data and model closed loops, and case studies such as intelligent inspection and G8D agents.
When a new ChatGPT web release triggers a "Oops, an error occurred! (Try again)" message on older browsers, the article explains how the missing Array.prototype.toSorted() method causes the failure and guides readers through creating a Tampermonkey user script that injects a polyfill to restore functionality.
This article examines OpenAI's recent ChatGPT API update that adds JSON‑formatted responses, detailing the technical background, implementation steps, example requests and responses, and the broader impact on developers, enterprises, and future AI applications.
OpenAI has launched SearchGPT, a prototype AI‑driven search engine that returns synthesized answers with source links, positioning itself as a direct competitor to Google, Microsoft Copilot, and Perplexity while navigating publisher partnerships and potential copyright concerns.
This article explains gray (canary) release concepts, traffic splitting, and component version details for Spring Boot and Spring Cloud, while also discussing the current job market for computer science graduates and promoting ChatGPT services, offering insights for backend developers and career planning.
Generative AI tools such as GitHub Copilot, ChatGPT, and Amazon CodeWhisperer are rapidly reshaping software engineering, with surveys showing over 90% of U.S. developers using them, and Seattle tech leaders reporting doubled productivity, faster code migration, and new workflows across startups and enterprises.
This article explains how to use ChatGPT to generate Mermaid diagram code for flowcharts, sequence diagrams, Gantt charts, and entity‑relationship diagrams, and then import the code into the online drawing tool draw.io to create visual workflow charts, highlighting the benefits over manual drawing.
This article explores how AI-generated content (AIGC) tools like ChatGPT can streamline user research workflows—from drafting study plans and designing questionnaires to basic data analysis and report generation—while highlighting their limitations and best‑practice prompting techniques.
This tutorial demonstrates how to quickly create and deploy a ChatGPT-powered chat website using Next.js, Tailwind CSS, and Vercel AI SDK, covering project scaffolding, dependency installation, API key configuration, server‑side streaming, and Vercel deployment steps.
The article covers a global AI beauty contest, Microsoft’s security upgrades to its Recall device, step‑by‑step activation of ChatGPT’s background‑conversation mode, and a Johns Hopkins study showing that adding a “concise” instruction to prompts can slash AI response length by half and reduce API costs by more than 20% with little loss of accuracy.
This article explains the technical differences between Server‑Sent Events (EventSource) and WebSocket, compares their advantages, disadvantages, and suitable scenarios, and shows why ChatGPT’s streaming API prefers EventSource for server‑push communication.
This article explores the rapid rise of ChatGPT, explains how to craft effective prompts using a role‑background‑task‑output formula, demonstrates its applications in writing, style transformation, and various professional scenarios, and introduces a new book and community giveaway related to AI assistants.
This article explains how programmers can overcome the hassle of writing documentation by using ChatGPT to automatically generate PlantUML code, covering the basics of PlantUML, prompt engineering, and step‑by‑step examples for class and sequence diagrams.
OpenAI has created a new safety committee led by Sam Altman and board members, aiming to evaluate and improve safeguards while former researchers voice concerns about the company’s commitment to AI safety and ethics.
The article provides a hands‑on review of OpenAI's newly released GPT‑4o model, covering its multimodal capabilities, real‑time voice demo, desktop client rollout, access options for paid and free users, practical usage tips, and early observations on API performance and limitations.
The article examines OpenAI's upcoming Spring Updates, circulating rumors of a ChatGPT‑driven search engine, related domain registrations, Sam Altman's comments, and potential collaborations with Apple, highlighting the competitive dynamics in the AI‑search market.
Microsoft’s massive $130 billion investment in OpenAI, revealed through a leaked internal email, underscores its strategic push to outpace Google’s AI lead, while the company navigates antitrust scrutiny and hints at a forthcoming ChatGPT-powered search engine.
The article explains what the ChatGPT Code Interpreter is, demonstrates three practical use‑cases—document conversion, batch file processing, and fixing math errors—and outlines how to embed it in GPTs while noting its current limitations.
This guide presents 28 practical ChatGPT prompt strategies—from role‑playing experts and setting response length to crafting resumes, weekly reports, and product PRDs—helping readers boost productivity, creativity, and learning across personal and professional tasks.
This tutorial walks you through accessing the OpenAI ChatGPT API with Python, covering account setup, API key generation, code examples for basic calls, custom system instructions, conversation memory handling, and building a simple GUI chatbot using tkinter or Gradio.
This article details how to create iTaTools, a macOS app and Xcode Source Editor Extension that integrates ChatGPT via AIGC to generate code, UI, and documentation directly in Xcode, complete with implementation steps, Swift code samples, and plugin architecture.
This article provides a comprehensive guide on creating a Python-based ChatGPT chat interface using Flask, covering web application setup, HTML interface creation, backend logic implementation, and frontend JavaScript enhancement.
Leveraging AI tools such as ChatGPT provides instant feedback, personalized learning paths, flexible timing, and up‑to‑date resources, enabling beginners to quickly grasp HTML, CSS, and JavaScript, practice through project‑based exercises, improve collaboration skills, and continuously refresh their front‑end development expertise.
This article walks readers through the evolution of artificial intelligence—from early expert systems and machine learning basics to convolutional neural networks, the AlphaGo series, MuZero's rule‑free learning, and the generative power of large language models like ChatGPT—highlighting how deep learning, Monte Carlo tree search, and self‑play collaborate to achieve unprecedented performance across games, science, and language.
This tutorial walks through creating a Spring Boot application that integrates the OpenAI ChatGPT API, covering prompt concepts, API endpoint details, required request parameters, project setup, necessary dependencies, DTO definitions, RestTemplate configuration, and a REST controller to generate AI‑driven responses.
This article explains the fundamentals of AI, machine learning, deep learning, and natural language processing, describes how Transformer architectures and attention mechanisms power large language models such as GPT‑4 and ChatGPT, and walks through tokenization, prediction, and practical development with Python.
This guide introduces Spring AI, shows how to add dependencies, configure OpenAI credentials, and demonstrates chat, image, and prompt APIs with code examples, then explores advanced function calling to build business‑level large language model integrations in Java.
This presentation outlines the development of ChatGPT, the underlying principles of large language models, and how they empower new industrialization in the automotive sector, detailing practical implementations, agent architectures, data and model closed‑loops, and case studies such as intelligent quality inspection and G8D agents.
This article explains how to use ChatGPT to automatically generate accurate pandas scripts for Excel‑based data analysis, compares Python packages with VBA, shows prompt engineering techniques, and demonstrates adapting the code for Excel's built‑in Python feature.
Discover a Python 3.11‑based WeChat bot that leverages ChatGPT for intelligent replies, AI‑generated images, context memory, and a suite of automation features such as friend management, video downloads, and automated Moments posting, complete with system requirements, installation steps, and visual demos.
An experiment conducted on Interviewing.io shows that candidates using ChatGPT can pass 73% of original LeetCode interview questions and 67% of modified ones, while interviewers fail to detect any cheating, highlighting the need for custom interview problems to mitigate AI‑assisted fraud.
This article explains what GPTs (customized ChatGPTs) are, outlines the subscription and access requirements, walks through the GPTs store interface, and demonstrates creating a logo with the “Logo Creator” GPT, highlighting the multi‑turn workflow and built‑in DALL·E 3 generation.
This article walks you through five progressive levels—from basic usage to prompt engineering, custom instructions, bespoke Prompt bots, and finally creating OpenAI GPTs—demonstrating how structured prompts, role setting, output formatting, and integrated extensions can dramatically boost ChatGPT’s effectiveness for professional tasks.
Based on SEMrush data, this article ranks the ten most visited AI tools of 2023, highlighting ChatGPT’s dominance, the rise of conversational agents like Character.AI, and the popularity of image generators and other AI services.
While ChatGPT excels at generating code and debugging, it falls short on legal compliance, critical statistical reasoning, stakeholder insight, truly novel problem‑solving, and ethical decision‑making, making certain developer tasks irreplaceable.
This article explores how large language models like ChatGPT can be leveraged to transform natural‑language requirements into UML diagrams using PlantUML, demonstrating the workflow, prompt engineering, iterative training, and the resulting efficiency gains for developers.
Learn how to generate text embeddings with OpenAI's ChatGPT API, store them in Redis' vector database, and perform efficient similarity searches using PHP, covering installation, API calls, index creation, vector storage, KNN querying, and practical code examples.
Sam Altman's 2023 recap, detailing his board clash, leadership lessons, and OpenAI's rapid rise, offers a concise guide on building resilient AI teams, focusing on clear communication, high‑impact work, hiring for potential, and navigating the broader societal impact of generative artificial intelligence.
This guide shows how AI assistants such as ChatGPT, Microsoft Copilot, Mindshow, Gamma, Flourish and Midjourney can quickly generate outlines, designs, data visualizations and illustrations for year‑end summary presentations, dramatically cutting preparation time and boosting creativity.
This article evaluates the current state of AI‑powered UX design tools—ChatGPT/Claude for research and copy, Midjourney/Stable Diffusion for visual assets, and four emerging AI functions for prototype creation—highlighting their strengths, limitations, and practical suggestions for designers seeking smarter workflows.
This guide walks you through building a Spring Boot application that calls the OpenAI ChatGPT API, covering prompt concepts, API request details, required dependencies, configuration of RestTemplate with authentication, DTO definitions, controller implementation, and example use cases.
A community-driven investigation reveals that GPT‑4’s output length drops in December, with statistical tests showing a significant reduction, sparking debates about seasonal effects, model prompts, temperature settings, and the need for further reproducible experiments.
Nature’s 2023 ‘Scientists of the Year’ list famously included the AI chatbot ChatGPT, highlighting its growing role in scientific research, its contributions to papers and code, and the ethical challenges it raises for the future of knowledge creation.
This article explains how ChatGPT is integrated into the Columbus Instant Design low‑code platform, detailing the platform’s core capabilities, AI‑driven workflow for creating and modifying UI floors, implementation architecture, token management, and future development plans.
This article explores how software test engineers can leverage ChatGPT for tasks such as requirement analysis, test case creation, defect reporting, functional test generation, API test case generation, and automation script writing, thereby improving testing speed, accuracy, and overall quality.
