OpenAI reveals ChatGPT agent for ‘deep research’

Good morning, AI enthusiasts. The AI transition from fast answers to complex reasoning just leveled up again, with OpenAI’s recent feature putting even the toughest benchmarks on notice.

With ‘Deep Research’ autonomously crushing complex research tasks in minutes, the evolution of how we use AI assistants just took one other major step forward.

In today’s AI rundown:

• OpenAI debuts AI research assistant

• OpenAI introduces o3-mini reasoning model

• Tips on how to construct your individual free AI Operator

• Sam Altman’s stance on open source

• 4 recent AI tools & 4 job opportunities

LATEST DEVELOPMENTS

OPENAI

🔍 OpenAI debuts AI research assistant

The Rundown: OpenAI just launched Deep Research, a brand new ChatGPT feature that conducts extensive web research on complex topics and delivers detailed reports with citations in under Half-hour.

The main points:

• The system uses a specialized version of o3 to research text, images, and PDFs across multiple sources, producing comprehensive research summaries.

• Initial access is proscribed to Pro subscribers ($200/mo) with 100 queries/month, but when safety metrics remain stable, it’s going to expand to Plus and Team users inside weeks.

• Research tasks take between 5-Half-hour to finish, with users receiving an inventory of clarifying questions to start out and notifications when results are ready.

• Deep Research achieved a 26.6% on Humanity’s Last Exam, significantly outperforming other AI models like Gemini Considering (6.2%) and GPT-4o (3.3%).

Why it matters: ChatGPT excels at quick, fast answers, but Deep Research represents the primary major consumer attempt at tackling complex tasks that take humans days. Combined with the discharge of Operator, the landscape is shifting towards longer pondering with autonomous actions — and higher results to indicate for it.

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OPENAI

🧠 OpenAI introduces o3-mini reasoning model

The Rundown: On Friday, OpenAI released o3-mini, a brand new cost-efficient reasoning model that brings advanced STEM capabilities to each free and paid users while significantly reducing costs and response times in comparison with previous versions.

The main points:

• Free users can access reasoning capabilities for the primary time via o3-mini, with paid users getting expanded rate limits of as much as 150 messages day by day.

• o3-mini shows particular strength in technical domains like math and coding, matching or exceeding o1’s performance while responding 24% faster.

• Developers can even fine-tune the ‘reasoning effort’ with three settings — low, medium, and high — to balance speed and accuracy for various use cases.

• The system costs 63% less to run than its predecessor, bringing the value all the way down to $1.10 / million input tokens while maintaining competitive performance.

Why it matters: DeepSeek has dominated the headlines over the past week, but OpenAI at all times seems to have one other ace up its sleeve. o3-mini will expose the free tier of AI users to their first ‘reasoning’ experience—and with the total o3 coming in ‘lower than a number of months,’ the subsequent step up within the model cycle is just across the corner.

AI TRAINING

🤖 Tips on how to construct your individual free AI Operator

The Rundown: With this tutorial, you possibly can run a strong AI browser automation tool in your computer that may control web browsers and perform tasks autonomously without paying for expensive subscriptions like ChatGPT’s $200/month plan.

Step-by-step:

1. Download Ollama and install a language model (e.g., deepseek-r1:14b or qwen2.5:7b).

2. Clone the net interface repository with git clone. (https://github.com/browser-use/web-ui.git)

3. Arrange Python environment and install dependencies.

4. Launch the interface, configure your AI assistant, and see it perform web actions for you.

Pro tip: Start with basic tasks to grasp the system’s capabilities before moving to complex automation. We just did a full workshop on easy methods to set it up properly, which you’ll be able to access here.

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OPENAI

🗣️ Sam Altman’s stance on open source

The Rundown: OpenAI held a Reddit AMA following the launch of its o3-mini model, with CEO Sam Altman, CPO Kevin Weil, and others tackling questions starting from candid commentary on open-source tech to imminent feature and model timelines.

The main points:

• Altman revealed that he personally thinks ‘now we have been on the flawed side of history’ regarding open source and that OpenAI must work out a technique.

• The CEO also said that he guessed the total o3 can be released in ‘greater than a number of weeks, lower than a number of months.’

• Altman also commented on DeepSeek, calling it a ‘superb model’ and saying OpenAI will ‘produce higher models, but maintain less of a lead.’

• Weil provided a number of nuggets about upcoming releases, saying more agents and a brand new image generator will likely be available very soon.

Why it matters: The largest headline is the open-source commentary, which is the most important criticism OpenAI faces. While no changes seem imminent (Altman said not everyone at the corporate shares his opinion, and it is not a high priority), a shift in any capability can be a paradigm-altering moment for the complete industry.

QUICK HITS

🛠️ Trending AI Tools

• ☎️ Ask For Me – Google’s AI that calls businesses in your behalf

• 📞 Talk over with a Live Representative – Google’s AI that waits on hold for you

• 🤖 Mistral Small 3 – Latest fast, powerful 24B parameter open-source model

• 🎶 Riffusion – Create full songs without cost from text, image, or audio prompts

💼 AI Job Opportunities

• 🎯 The Rundown – Marketing/Media Buyer

• ⚙️ Palantir Technologies – Product Manager

• 💡 Curai – Solutions Consultant

• 🏗️ OpenAI – Data Center Design Engineer

📰 All the things else in AI today

U.S. AI czar David Sacks shared a brand new report estimating DeepSeek has spent over $1B on computing, calling the $6M training cost number ‘highly misleading.’

The EU activated the primary phase of its AI Act, banning AI systems deemed ‘unacceptably dangerous’ and imposing penalties of as much as $35M euros.

Google’s X moonshot lab launched Heritable Agriculture, an agriculture company using AI and machine learning to speed up plant breeding for improved crop yields.

Microsoft AI CEO Mustafa Suleyman announced a brand new cross-disciplinary research unit, recruiting economists, psychologists, and others to check AI’s societal impact.

MIT researchers unveiled ChromoGen, an AI model that predicts 3D genome structures in minutes as an alternative of days and enables DNA evaluation and the way if impacts cell function and disease.

Security researchers discovered an exposed DeepSeek database containing over 1M user prompts and API key records, raising vulnerability and privacy concerns.

COMMUNITY

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See you soon,

Rowan, Joey, Zach, Alvaro, and Jason—The Rundown’s editorial team