OpenAI Gives ChatGPT a Virtual Computer


Greetings Qrew,

Whether you're diving into AI for work, side projects, or just out of curiosity — this issue of The Creators Hive brings you practical insights, hands-on learning, and tools you can actually use.

  1. OpenAI Gives ChatGPT a Virtual Computer
  2. Reflection AI’s Asimov Agent for Coding Comprehension
  3. OpenAI’s Gold-Level Math Performance
  4. Google’s ‘Official’ Gold Win at IMO
  5. Alibaba’s Qwen3 Takes the Open-Source Crown
  6. Tool Recommendation of the Day: Magic Hour AI

OpenAI Gives ChatGPT a Virtual Computer


OpenAI has launched ChatGPT Agent, a major upgrade enabling the AI to operate its own virtual computer for complex, multi-step workflows — merging browsing, coding, and document creation into a single autonomous system.

Key Details:

  • Unified Tools: Combines Operator and Deep Research for seamless task-switching.
  • Real-World Tasks: Can book travel, build presentations, shop online, and set up products/orders.
  • App Integration: Connects with Gmail, GitHub, APIs, and handles multiple tasks with user permissions.
  • Benchmark Leader: Hits 41.6% on Humanity’s Last Exam and excels on real-world task benchmarks.
  • Safety Measures: Classified as “high capability” with strict monitoring and user approvals due to biological risk protocols.

Why It Matters:
ChatGPT Agent moves beyond being just a chatbot — showcasing the next phase oof autonomous, agentic AI capable of handling real-world, end-to-end tasks.


Reflection AI’s Asimov Agent for Coding Comprehension

Reflection AI, founded by ex-Google DeepMind researchers, has unveiled Asimov — an autonomous agent designed to deeply understand codebases, business logic, and organizational knowledge, outperforming state-of-the-art rivals.

Key Details:

  • Holistic Ingestion: Processes code, architecture docs, Slack threads, emails, and project reports to build a persistent engineering knowledge base.
  • Asimov Memories: Stores and updates tribal knowledge via natural language prompts, with role-based access controls for security.
  • Performance: In blind tests, 82% of developers preferred Asimov over Claude Code, thanks to its multi-agent retriever system feeding a central reasoning engine.
  • Team: Founded by Misha Laskin and Ioannis Antonoglou, key contributors to Gemini and AlphaGo at Google DeepMind.

Why It Matters:
While most coding assistants prioritize generating new code, Asimov focuses on understanding and evolving existing systems — potentially becoming the institutional memory of software engineering teams.


OpenAI’s Gold-Level Math Performance

OpenAI claims its experimental general reasoning LLM achieved a gold-medal score in a test modeled after the 2025 International Math Olympiad (IMO), solving problems once considered impossible for AI.

Key Details:

  • The model was tested under official Olympiad conditions, completing two 4.5-hour exams with no tools or internet access.
  • It solved 5 out of 6 problems, earning 35/42 points — a score high enough to win gold at the actual competition.
  • Each proof-based answer was graded by three former IMO medalists, with results confirmed through unanimous agreement.
  • Google DeepMind disputed the claim, stating that the IMO’s internal marking guidelines are required for a valid medal claim.

Why it matters:
The IMO gold standard has long been seen as one of the ultimate benchmarks for human-level reasoning in AI. If OpenAI’s claim holds, it signals that their experimental models are advancing far beyond current public releases — possibly approaching the frontier of true general problem-solving intelligence.


Google’s ‘Official’ Gold Win at IMO

Google DeepMind has announced that Gemini with Deep Think has officially achieved gold-medal performance at the 2025 International Mathematical Olympiad (IMO), edging out OpenAI’s earlier, unofficial claim.

Key Details:

  • DeepMind worked directly with IMO coordinators to test Gemini under the same 4.5-hour, 6-problem format as human participants.
  • The AI solved 5 out of 6 problems, scoring 35/42 points — the threshold for a gold medal.
  • Unlike last year’s silver-level performance (which relied on domain translations), this year’s Gemini solved all problems entirely in natural language.
  • OpenAI’s model reportedly hit the same score but was not officially graded by IMO and relied on evaluations from former medalists.
  • Google emphasized its results were certified using IMO’s internal scoring criteria, making it the first AI model with an official gold medal.

Why it matters:
This win cements Gemini as the first AI to meet gold-standard mathematical reasoning under official conditions, marking a breakthrough in AI’s ability to handle creative, abstract problem-solving — a domain once thought uniquely human.


Alibaba’s Qwen3 Takes the Open-Source Crown

Alibaba’s Qwen team has officially seized the open-source AI crown with Qwen3, a next-gen model that outperforms Moonshot AI’s Kimi K2 and even challenges leading closed models like Claude Opus 4 and GPT-4o-0327.

Key Details:

  • Decoupled Thinking: Based on community feedback, Alibaba separated hybrid reasoning and instruct models for more specialized training.
  • Tech Specs: Qwen3 activates 22B of its 235B parameters, with a 256K context window, delivering major performance boosts.
  • Benchmark Wins: It surpassed Kimi K2 and closely rivals top-tier closed models on key benchmarks.
  • Open-Source First: The model is fully open-source and powers Qwen Chat, Alibaba’s ChatGPT alternative, as its free default option.

Why it matters:
Alibaba’s move signals China’s accelerating lead in open-source AI innovation, defying Western chip sanctions while pushing models that rival frontier systems. Qwen3 is both a technical and strategic statement — openness as a tool for global AI influence.


Tool Recommendation of the Day: Magic Hour.AI

🎥 Website:https://magichour.ai

What makes it unique?

Magic Hour isn’t just another video tool—it’s an all-in-one AI content studio that turns ideas into engaging visuals and videos without the need for advanced editing skills.

  • Offers tools like Face Swap, Lip Sync, Video-to-Video, Image-to-Video, Text-to-Video, and Talking Photos.
  • Combines image and video generation in one platform, making it easy to create a variety of content.
  • Free tier available with enough credits to test most features instantly.

Special twist:

Magic Hour allows you to bring characters, faces, or photos to life using advanced AI techniques, while also letting you create entire videos from simple text prompts.

Use case magic:

  • Create personalized videos with Face Swap
  • Animate photos into short video clips
  • Generate unique videos from text descriptions
  • Add subtitles or transform video styles with AI
  • Perfect for social media, branding, or creative projects

Why it’s rare:

Unlike most tools that specialize in only one feature, Magic Hour bundles multiple advanced AI content creation tools—from deepfake-style swaps to full text-to-video generation—into a single platform.

🌟 Final take

Magic Hour is ideal for creators, marketers, and anyone looking to produce dynamic, high-quality videos and animations quickly. It’s like having a virtual creative studio in your browser.


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In today’s world, being good at just one thing isn’t enough. You need to know how to think, build, sell, and adapt — all at once. That’s what I share in my AI newsletter and community. You’ll learn how to automate tasks, create products, grow businesses, and lead teams — using AI. I’ve worked hands-on across 5+ industries and almost every business role. Everything I share is simple, useful, and straight from experience. Join 5,000+ people learning how to stay sharp, flexible, and future-ready.

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