The article analyzes how OpenAI and Anthropic are moving from anonymous AI services to mandatory facial and document verification, detailing the timeline, technical signals, developer requirements, and the broader industry push to curb abuse and ensure agent accountability.
Most AI users still rely on slow, manual prompting, but the core efficiency boost comes from loop mechanisms that let models autonomously pursue goals; this article explains what loops are, their underlying logic, when they add value, common pitfalls, cost implications, step‑by‑step construction in Claude or ChatGPT, and a lightweight solution for everyday tasks using Mira.
The article explains that ChatGPT Plus is a $20‑per‑month subscription designed for typical daily coding tasks, while GPT Pro (starting at $100) offers far higher usage limits and advanced features such as Codex and Deep Research, and advises programmers to pick based on their workload intensity rather than price alone.
Sensor Tower’s 2026 AI State Report shows ChatGPT’s share dropping to 46.4% as Gemini and Claude surge, while user migration, ad testing, and regional download trends reshape the AI‑assistant market and signal a shift toward profitability and mature competition.
OpenAI and Anthropic are both rolling out facial‑recognition identity checks for ChatGPT and Claude, turning formerly open AI services into regulated tools by using age‑prediction models, organization verification, and strict ID policies to curb abuse and prepare for more capable AI agents.
ChatGPT Plus costs $20 per month, offering higher message quotas, faster responses, and advanced features that help heavy users—such as writers, developers, and analysts—avoid interruptions, and the article explains pricing details, usage benefits, and considerations before subscribing.
OpenAI has previewed Codex on the ChatGPT Android and iOS apps, letting every user—including free‑tier accounts—manage, approve, and run code from their phone via a secure relay layer, remote SSH support, and new workflow hooks.
A Hokkaido farmer named Hiroki Tomiyasu used ChatGPT and Codex to turn greenhouse vents, satellite imagery, and farm records into a low‑cost, self‑built automation platform, demonstrating how AI can bridge the gap between field expertise and engineering implementation.
The article compares ChatGPT Plus and Pro, outlining their pricing, usage limits, and ideal user scenarios, and offers practical guidance on choosing the appropriate tier based on daily workload intensity and cost considerations.
OpenAI has launched a preview of Codex inside the ChatGPT mobile app for both Android and iOS, giving every user—including free‑tier accounts—a secure, synchronized way to review, approve, and run code from anywhere, with new remote‑SSH support and upcoming automation features.
OpenAI’s Dreaming V3 memory system automatically aggregates user preferences and context from past chats, delivering up to five‑fold efficiency gains and raising factual continuity, preference adherence, and timeliness accuracies to 82.8%, 71.3% and 75.1% respectively, now available to free users.
OpenAI has launched a preview of Codex on both Android and iOS versions of the ChatGPT app, letting every user—including free‑tier accounts—run AI‑assisted code tasks from their phone with secure remote access and real‑time synchronization.
OpenAI’s latest overhaul eliminates the traditional chat window, merges Codex and ChatGPT into a unified Agent platform, adds third‑party services like Canva and Booking.com, and signals a strategic pivot driven by mounting financial pressure, fierce competition with Anthropic, and an imminent trillion‑dollar IPO race.
OpenAI’s new Lockdown Mode disables network access and external actions in ChatGPT to block prompt‑injection attacks that could exfiltrate private information, trading off features like real‑time browsing, Deep Research, and Agent tasks, and is best used only for handling confidential documents.
OpenAI has launched a preview of Codex inside the ChatGPT mobile app for Android and iOS, letting any user—including free‑tier accounts—synchronize code‑related tasks, approve AI actions, and manage remote development environments directly from their phone.
A recent investigation shows that when given a deceptive prompt asking it to "restore" a non‑existent photo, ChatGPT produces surreal, sometimes disturbing images, revealing a jailbreak‑style vulnerability and highlighting safety‑check trade‑offs.
OpenAI unveiled Dreaming V3, a new memory architecture that lets ChatGPT silently replay and consolidate daily conversations, achieving 82.8% context recall, 71.3% preference compliance, five‑fold compute savings, and free access for billions while offering a transparent memory‑summary interface.
The latest Codex update does more than add features; it signals a shift from a standalone coding agent to an execution layer within the ChatGPT ecosystem, merging accounts, subscriptions, permissions, and mobile workflows, and expanding its role to manage parallel tasks, workflows, and team‑level automation.
OpenAI is integrating its Codex coding engine with ChatGPT and the Atlas browser into a desktop “super app,” highlighting Codex’s superior performance on multi‑step tasks, rapid user growth, internal reorganization, competitive pressure from Anthropic, and a roadmap that blends local and cloud execution for hundreds of millions of consumers.
OpenAI has released a preview of Codex for the ChatGPT iOS and Android apps, letting any user—including free‑tier—access the AI coding assistant on the go, with secure relay syncing, remote‑SSH support, and new workflow features such as bug investigation, decision‑making, and instant idea capture.
OpenAI announced that Codex will be integrated into ChatGPT, introducing three major upgrades—Agent plugins, Annotations, and Sites—while highlighting rapid user growth, GPT‑5.5’s token efficiency, and a strategic push against competitors like Anthropic to make AI assistance ubiquitous across all work tasks.
OpenAI has launched a preview of Codex inside the ChatGPT mobile app for both Android and iOS, giving every user—including free‑tier members—the ability to sync code‑related tasks, approve changes, and manage remote development environments from anywhere, backed by a secure relay layer and upcoming features such as programmatic tokens and HIPAA‑compliant hooks.
OpenAI has rolled out GPT‑5.5 Instant as the new default ChatGPT model, delivering 52.5% fewer hallucinations, a rise in math benchmark scores from 65% to 81%, 30% shorter replies, and a memory system that surfaces past context for personalized answers, all available for free to every user.
OpenAI announced that Codex will be integrated into ChatGPT within weeks, unveiling three major upgrades—Agent plugins, Annotations, and Sites—while reporting a six‑fold surge in weekly active users, a new suite of role‑specific AI colleagues, and a token‑efficient GPT‑5.5 engine that reshapes AI productivity for over a billion users.
OpenAI announced that it will embed Codex's execution engine directly into ChatGPT, unveiling new role‑specific plugins, a Sites feature for interactive web outputs, and Annotations for precise edits, while positioning the move against Anthropic's enterprise AI strategy.
OpenAI's recent Codex update adds true Computer Use support on Windows, letting the model see the screen, click buttons, type, and control desktop applications, with a simple @Paint or @computer prompt, though it runs in the foreground and requires ChatGPT Plus or higher.
The article compares ChatGPT Plus and Pro, explaining price tiers, usage limits, and ideal user scenarios, and advises readers to start with Plus and upgrade to Pro only when their workload consistently exceeds Plus’s capacity.
The article introduces the AI era for laypeople, defines artificial intelligence and generative AI, highlights ChatGPT’s 2022 launch and rapid adoption, lists current AI capabilities across text, image, video, code and voice, explains the three drivers—compute, data, and Transformer architecture, and advises a balanced, learning‑oriented mindset.
The article explains how GPT‑5.5 can boost daily productivity, advises evaluating personal workflows before subscribing, compares ChatGPT Plus and Pro based on task intensity, and offers concrete prompting tips and a usage‑scenario table to help users choose the right tier without blind upgrades.
The article explains that after GPT‑5.5 the key to getting value is mastering prompt techniques, compares ChatGPT Plus and Pro for different user scenarios, and offers practical guidance on choosing and using the appropriate tier effectively.
OpenAI has previewed Codex on both Android and iOS versions of the ChatGPT app, enabling all users to sync code, approve tasks, and manage AI‑driven development from anywhere, with secure relay, remote‑SSH support, and new workflow hooks.
This guide shows how OpenAI has embedded Codex into the ChatGPT mobile app, turning your phone into a remote control panel for a desktop‑running Codex instance, and walks through the free setup, Ollama installation, model switching, and connection workflow.
OpenAI has quietly added Codex to the ChatGPT mobile app for iOS and Android, letting developers monitor running sessions, approve commands, and make short‑term decisions from their phones without typing code, while keeping the execution environment secure on the host machine.
The article provides 25 ready‑to‑copy markdown prompt templates for Claude, ChatGPT and Gemini, covering tasks such as structured note generation, exam creation, learning roadmaps, concept explanation, academic paper drafting, flashcard creation, study planning, email writing, meeting note organization, resume optimization, presentation prep, research synthesis, source validation, knowledge structuring, competitive analysis, video scripting, hook generation, flowchart building, code documentation, unit‑test generation, debugging assistance, regex building, conventional commit creation, and workflow automation.
The article examines why ChatGPT frequently uses the phrase “I’ll steadily catch you,” linking it to mode collapse, post‑training feedback loops, and AI sycophancy, while citing WIRED coverage, a Science‑cover paper, and examples of meme propagation and a developer’s open‑source “Jiezhu” tool.
OpenAI has silently replaced the default ChatGPT model with GPT‑5.5 Instant, delivering a 52.5% drop in hallucinations, 30% shorter responses, deeper personalization via memory sources, and higher benchmark scores across a range of professional tasks, while rolling out new pricing and usage tiers.
The author argues that GPT‑5.5 is merely the beginning of a fresh AI arms race, urging freelancers to focus on practical prompt techniques and choose between ChatGPT Plus and Pro based on task intensity, workflow integration, and cost‑effectiveness rather than chasing the latest version.
A 23‑year‑old amateur named Liam Price teamed up with ChatGPT to solve the 60‑year‑old Erdős primitive‑sets conjecture in just 80 minutes, using a novel “vibe mathing” approach that bypassed traditional number‑theoretic methods and surprised leading mathematicians including Terence Tao.
Elon Musk’s $1 trillion lawsuit accusing OpenAI of abandoning its safety mission collides with revelations that he and his companies continue to rely on ChatGPT, exposing a stark ethical double‑standard, highlighting OpenAI’s alleged negligence in a fatal shooting case, and raising questions about the upcoming IPO and industry regulation.
The article explains how large language models like ChatGPT can assist software engineers across the entire development lifecycle—requirements, design, coding, testing, and operations—while emphasizing the need for human review due to hallucinations, and presents a PDCA‑style iterative workflow for effective human‑AI collaboration.
After testing over 500 prompts, the author curates 40 structured prompt templates—covering writing, analysis, development, productivity, data interpretation, and communication—that work reliably on Claude, ChatGPT, and Gemini and turn vague instructions into expert‑grade AI output.
This article introduces four GitHub open‑source projects—gpt2api, chatgpt2api, kiro-auto, and hermes‑webui—that enable high‑concurrency multi‑account ChatGPT usage, DALL‑E image generation and editing, automated AWS Builder ID registration, and cross‑platform access to Hermes agents, each with usage instructions and target audiences.
A 23‑year‑old without formal math training teamed with a Cambridge student and ChatGPT, solving the 60‑year‑old Erdős primitive‑set conjecture in 80 minutes, while traditional mathematicians had been stuck for decades, highlighting a radically different AI‑driven proof strategy.
OpenAI’s official ChatGPT for Excel plugin embeds AI directly into Excel, offering natural‑language commands and a suite of AI‑prefixed functions that can generate tables, clean data, extract information, auto‑fill, translate, and even pull financial data, dramatically reducing manual spreadsheet work.
OpenAI’s new ChatGPT Workspace Agent preview transforms the chatbot from a passive assistant into an autonomous digital employee that can fetch data, run analyses, generate reports, and interact with enterprise systems, promising higher ROI for businesses while raising security, ethical, and employment concerns.
OpenAI has launched Workspace Agents, an evolution of GPTs powered by Codex that lets teams describe a workflow in plain language and automatically creates a shared, long‑running AI agent that can access tools, remember context, and operate across Slack, Linear, Google Drive and more.
OpenAI’s newly released ChatGPT Images 2.0 transforms image generation into a full‑featured visual design system, delivering 2K resolution, multilingual text rendering, complex layout handling, and up to eight concurrent images, while also exposing current physical limits such as intricate spatial puzzles.
The article explains how ChatGPT Deep Research transforms ordinary web searches into full‑fledged research reports, compares three leading Deep Research tools, outlines nine practical use cases, warns of common pitfalls, and offers prompt‑engineering tips for both individual and enterprise adoption.
This guide compares the 2026 subscription plans of major AI services—including ChatGPT, Claude, Gemini—and specialized tools, detailing pricing, model capabilities, context limits, and ideal use‑cases, then offers practical combination strategies to maximize productivity while staying within budget.
A newly popular GitHub repository, system_prompts_leaks, aggregates and publishes the hidden system prompts of leading AI chatbots such as ChatGPT, Claude, and Gemini, offering unprecedented transparency, learning material, and research insight while rapidly climbing the platform's trending list.
The author asked six leading AI models (ChatGPT, Gemini, DeepSeek, Wenxin, Doubao, and Qianwen) to rank the top three domestic AI agents, and all models consistently placed Baidu first, a result supported by product breadth, search capability, and full‑stack infrastructure.
OpenAI plans to merge ChatGPT, Codex, and Atlas into a single super‑app that can write code, browse the web, and control webpages, prompting a split among developers between panic over job security and excitement about effortless coding, while the broader industry follows with similar AI‑driven initiatives.
This guide breaks down prompt engineering for large language models, explaining why clear, detailed prompts matter, how to define types, avoid ambiguity, use constraints, examples, role‑playing, long‑context techniques, chain‑of‑thought reasoning, and provides ready‑to‑use templates for various scenarios.
The article explains how to create a personal AI prompt—called a Master Prompt or Personal OS—by documenting identity, goals, style preferences, and using it each session, with step‑by‑step guidance, examples, and tips for automating the creation and adapting it to multiple roles.
Claude surged to the top of the US App Store free chart, displacing ChatGPT whose uninstall rate spiked 295%, as a Pentagon‑related policy clash, ad backlash, and Claude’s free‑user memory features and one‑click migration tool drove a massive user migration.
OpenAI announced a historic $110 billion private financing round led by Amazon, Nvidia and SoftBank, a 50% valuation jump to $730 billion, 900 million weekly active ChatGPT users, massive Nvidia compute deals, an exclusive AWS distribution partnership, and a global expansion centered on its London research hub.
OpenAI's latest update introduces an age‑prediction system that infers users' ages from behavior data, prompting accurate user tests, version‑specific NSFW content differences, and a new Persona verification option for adults mistakenly flagged as minors.
OpenAI’s recent “AI as a Healthcare Ally” report reveals that ChatGPT is now embedded in everyday medical interactions across the United States, with millions of health‑related queries daily, doctors increasingly relying on AI tools, and policy recommendations aimed at expanding safe, equitable AI‑driven healthcare services.
This article reviews six AI-powered anime image generators—PixAI, Midjourney, ChatGPT (GPT‑Image‑1), Gemini, Canva, and Qwen3‑max—detailing their unique features, pricing models, example prompts, and sample outputs to help creators choose the best tool for 2026.
When Anthropic’s Claude model became unavailable in OpenCode, the community panicked, but OpenCode’s rapid partnership with OpenAI to embed ChatGPT Plus/Pro sparked a debate over closed‑vs‑open AI ecosystems and highlighted divergent strategies of AI giants for developer tools.
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.
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.
