Good morning, AI enthusiasts. OpenAI just took the following step in software development’s AI evolution, with a brand new Codex agent that may autonomously handle multiple tasks directly.
With the cloud-based system taking up the whole lot from feature development to bug fixes with minimal oversight, the road between human and AI coding is blurring faster than ever.
In today’s AI rundown:
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OpenAI’s latest software engineering agent
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Google, Netflix bring AI to video promoting
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Automate Educational Content with Zapier Agents
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Study: AIs construct their very own social norms
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4 latest AI tools & 4 job opportunities
LATEST DEVELOPMENTS
OPENAI
🤖 OpenAI’s latest software engineering agent

Image source: OpenAI
The Rundown: OpenAI just introduced Codex, a brand new cloud-based software engineering agent that may autonomously handle a spread of development tasks concurrently for coders.
The small print:
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Codex is built on codex-1, a specialized version of OpenAI’s o3 model fine-tuned specifically for software engineering tasks.
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The system operates in isolated cloud environments, allowing it to jot down features, fix bugs, answer codebase questions, and run tests.
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It may possibly follow custom instructions via AGENTS.md files that guide its code navigation, testing procedures, and adherence to project standards.
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Codex is initially available to ChatGPT Pro, Enterprise, and Team users, eventually moving to a rate-limited model with options for added usage.
Why it matters: Firms are using AI to jot down increasingly of their code, and OpenAI’s latest agent pushes even further into the realm of virtual coworkers that could be delegated multiple projects with less hands-on human involvement. AI is changing the software development landscape faster than another sector.
TOGETHER WITH AWS
💡A CLI that really answers

The Rundown: Amazon Q Developer CLI is your latest pair programmer built into your terminal. Whether you’re juggling file edits, shell scripts, or live API calls, Q Developer CLI keeps pace and learns as you go — no more switching tabs or scouring docs.
With Q Developer CLI, you possibly can:
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Generate code with a single prompt
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Work with local files
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Run bash commands
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Add your personal context files and favorite MCP servers
Try the Q Developer CLI free with BuilderID.
AI & ADVERTISING
📺 Google, Netflix bring AI to video promoting

Image source: YouTube
The Rundown: Each YouTube and Netflix introduced latest AI-powered ad formats, with YouTube launching “Peak Points” that place ads after emotionally charged content and Netflix planning to make use of AI-generated ads that visually mix with their shows.
The small print:
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YT’s “Peak Points” uses Gemini AI to research videos and run ads right after probably the most thrilling or emotional parts of content.
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Netflix is developing AI-generated ads that can mix brands with show content by placing products over backgrounds inspired by its programs.
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Netflix’s approach will include each midroll ads during viewing and specialized pause ads, with interactive features and CTAs planned for late 2025.
Why it matters: It’s no surprise to see AI playing a task in each optimizing and personalizing promoting content for 2 of the largest streaming services on the planet. Eventually, AI systems will likely be generating ad content on the fly, perfectly tailored to the viewer and perfectly placed for optimum effect.
AI TRAINING
🎓 Automate Educational Content Processing with Zapier

The Rundown: On this tutorial, you’ll learn methods to create an automatic system with Zapier Agents that transcribes lecture recordings, generates study materials, and builds quiz questions.
Step-by-step:
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Visit Zapier Agents, click the plus button, and create a Recent Agent.
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Configure your agent to trigger when latest recordings are uploaded to a “Lectures” folder in Google Drive
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Add 4 essential tools: Google Drive to retrieve the file, ChatGPT to create a transcription and generate educational materials, and Google Docs to compile the whole lot into organized documents.
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Test your setup with a sample lecture and activate your agent
Pro tip: For professors, include specific prompts in your file names (like “quiz-focus” or “exam-material”) to guide the AI in generating more targeted assessment questions.
PRESENTED BY HACKERRANK
The Rundown: Struggling to source high-quality data on your AI models? HackerRank now offers curated coding datasets designed by the experts who test thousands and thousands of human developers yearly.
With HackerRank, you possibly can:
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Curate a custom dataset on specific software development skills
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Access a workforce of development experts for data labelling and annotation
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Request an evaluation dataset to check your model’s performance
AI RESEARCH
👋 Study: AIs construct their very own social norms

Image source: o3 / The Rundown
The Rundown: Recent research from the University of London discovered that AI agents can develop shared social conventions and collective behaviors through interaction alone, with none central coordination, very similar to human communities.
The small print:
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The team tested AI “naming games” with groups of agents randomly paired to pick labels, with rewards for matching selections and penalties for mismatches.
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Regardless that individual agents had limited memory and weren’t told they were a part of a bunch, shared conventions still emerged across the complete population.
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Group-level biases popped up from these AI interactions alone, even when individual agents began with none specific leanings.
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Tiny but determined AI sub-groups were in a position to flip the entire community’s established norms, identical to tipping points in human social shifts.
Why it matters: Groups of AI agents are about to be interacting all around the web, and this research shows there could also be a deeper social dynamic beneath the surface. As agents begin to barter, align, and work together over shared goals and behaviors, understanding dynamics can be necessary in keeping them aligned with human values.
QUICK HITS
🛠️ Trending AI Tools
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📝 Notion AI Meeting Notes – Leave the note-taking to Notion. AI Meeting Notes captures and summarizes meeting notes robotically, no bots needed*
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🏄 SWE-1 – Windsurf’s latest family of in-house software engineering AI models
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🏥 II-Medical – Powerful medical-focused AI model in a position to run locally
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🤖 Manus – Agentic AI with latest image generation capabilities
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💼 AI Job Opportunities
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🤝 The Rundown – Partnerships Manager
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💼 Findem – Enterprise Account Executive, Talent CRM
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🤖 Meta – Research Scientist, Robotics Systems
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🛠️ Palantir Technologies – Support Specialist
📰 Every little thing else in AI today
Musician Elton John said the U.K. government is “committing theft, thievery on a high scale” after the rejection of a proposal requiring AI firms to reveal their training data.
OpenAI VP of Research Jerry Tworek said that GPT-5 will unify tools and capabilities like Codex, Operator, Deep Research, and Memory to require less model switching.
xAI said an “unauthorized modification” was made to Grok, causing the system to repeatedly bring up controversial South Africa discussions.
China launched the primary 12 satellites of its “Three-Body Computing Constellation,” a 2,800-satellite AI-powered computing network that can process data directly in space.
xAI rolled out a brand new feature allowing its Grok chatbot to generate visual charts, now available via browser access.
Chinese startup Synyi AI launched the world’s first AI doctor clinic in Saudi Arabia, where a virtual physician independently diagnoses patients and prescribes treatments.
University of Tokyo researchers developed an AI-powered microscope system that may detect dangerous blood clots forming in real time through easy blood tests.
COMMUNITY
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RSVP here. Not a member? Join The Rundown University on a 14-day free trial.
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See you soon,
Rowan, Joey, Zach, Alvaro, and Jason—The Rundown’s editorial team