Good morning, AI enthusiasts. Marketing is already undergoing some drastic changes within the AI era, but Mark Zuckerberg’s latest push goals to take your complete promoting process out of human hands.
With only a product photo and a budget, Meta’s rumored 2026 system would handle the whole lot from visuals, copy, user targeting, and deployment — potentially upending social media marketing as we realize it.
In today’s AI rundown:
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Meta’s fully automated AI ad platform
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Microsoft offers free Sora access on Bing
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How you can automate coding tasks with async development
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Sakana’s AI learns to upgrade its own code
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4 latest AI tools & 4 job opportunities
LATEST DEVELOPMENTS
META
🤖 Meta’s fully automated AI ad platform

Image source: o3 / The Rundown
The Rundown: Meta goals to release tools that eliminate humans from the promoting process by 2026, in accordance with a report from the WSJ — developing an AI that may create ads for Facebook and Instagram using only a product image and budget.
The main points:
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Firms would submit product images and budgets, letting AI craft the text and visuals, select goal audiences, and manage campaign placement.
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The system will have the option to create personalized ads that may adapt in real-time, like a automobile spot featuring mountains vs. an urban street based on user location.
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The push would goal smaller firms lacking dedicated marketing staff, promising professional-grade promoting without agency fees or skillset.
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Promoting is a core a part of Mark Zuckerberg’s AI strategy and already accounts for 97% of Meta’s annual revenue.
Why it matters: We’re already seeing AI transform promoting through image, video, and text, but Zuck’s vision takes the method entirely out of human hands. With a lot marketing flowing through FB and IG, a successful system can be a significant disruptor — particularly for small brands that just want results without the effort.
TOGETHER WITH UNSTRUCTURED
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The Rundown: Constructing your personal data processing pipeline starts easy, but scaling it’s one other story — with a number of scripts and connectors quickly turning right into a tangled mess of never-ending fixes and updates.
Unstructured replaces the DIY rat’s nest with:
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Coverage across 35+ data sources and 64+ file types with zero maintenance overhead
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AI-tailored processing with chunking, embedding, and enrichment for GenAI use cases
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MICROSOFT
🎥 Microsoft offers free Sora access on Bing

Image source: Microsoft
The Rundown: Microsoft just announced Bing Video Creator, integrating OpenAI’s Sora video generation model into the Bing mobile app and allowing users to create five-second outputs from text descriptions with no subscription required.
The main points:
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Users get 10 fast video generations and unlimited slower generations, and may earn more fast credits through Microsoft’s rewards program.
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The feature launches on Bing’s iOS and Android mobile apps, with desktop and Copilot Search releases coming soon.
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Videos are currently limited to vertical format and 5-second clips, with up to 3 videos capable of be created concurrently.
Why it matters: Sora was one in every of the more hyped products in AI, but didn’t live as much as expectations and was quickly surpassed by rival models. But most generators have been stowed behind subscriptions — meaning a brand new user base could also be exposed to a free (albeit limited) video creation option for the primary time.
AI TRAINING
🤖 How you can automate coding tasks with async development

The Rundown: On this tutorial, you’ll learn the best way to use Google’s async development agent Jules to mechanically fix bugs, add features, and handle software engineering tasks in your GitHub repositories.
Step-by-step:
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Visit Jules and connect your GitHub account to access your repositories
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Select your specific repository and branch from the dropdown menus
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Describe your task within the chat: “Write me a README file” or “Fix the authentication bug”
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Review the plan, click “Approve,” let it work asynchronously, after which “Publish Branch” when done! 🚀
Pro tip: You get 60 day by day tasks that refresh every 24 hours, so you need to use Jules completely freed from charge to your most repetitive coding work.
PRESENTED BY HACKERRANK
The Rundown: Hiring managers report candidates acing assessments with answers they later can’t explain. HackerRank’s latest interview features close this gap by giving deeper insight into how candidates think and solve problems in realistic, controlled settings.
With HackerRank, you may:
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Implement AI-use with real-time integrity alerts
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Watch candidates prompt in-built AI
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Test skills in live code repos
SAKANA AI
🧠 Sakana’s AI learns to upgrade its own code

Image source: Sakana AI
The Rundown: Researchers from Sakana AI and the University of British Columbia just introduced the Darwin Gödel Machine, an AI agent that rewrites its own code to recuperate at tasks, achieving as much as 150% performance improvements without intervention.
The main points:
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DGM starts as a coding assistant, but autonomously discovers improvements like editing tools, error memory, and peer review capabilities.
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It significantly boosted its performance in coding benchmarks, jumping from 20% to 50% on SWE-bench and 14% to over 30% on Polyglot.
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Inspired by Darwinian evolution, DGM tries out changes to its code, keeps what works, and archives promising “mutations” for future improvements.
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The self-taught improvements also made the AI perform higher when the underlying model was swapped out, showing it wasn’t unique to a single model.
Why it matters: While most AI models are frozen post-training and reliant on manual new edition releases, DGM is a shift toward AI that may learn and improve itself over time. This self-evolution could speed up AI far beyond initial training, but in addition introduces risks of maintaining control as systems change into increasingly autonomous.
QUICK HITS
🛠️ Trending AI Tools
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🗣️ Conversational AI 2.0 – ElevenLab’s updated AI voice agent platform
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⚙️ Google Edge Gallery – Deploy AI across mobile, web, and embedded apps
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🔌 Circuit Tracing – Anthropic’s open source tools to see how AI thinks
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🔬 Zochi — Intology’s PhD-level AI agent
💼 AI Job Opportunities
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📞 The Rundown – Account Manager
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😊 UiPath – Customer Success Manager
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🤝 Author – Engagement Manager
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🎯 OpenAI – Executive Programs Lead
📰 Every part else in AI today
Samsung is reportedly in talks with AI startup Perplexity to integrate the platform’s app, assistant, and search features across latest Samsung devices.
PlayAI open-sourced PlayDiffusion, an audio inpainting model able to precise voice output modifications without disrupting natural flow.
Captions launched Mirage Studio, a platform that generates hyper-realistic videos with AI actors from audio or scripts for UGC and marketing content.
Character AI unveiled multimodal creation tools, including AvatarFX image-to-video, interactive Scenes, Streams for character interactions, and animated chat sharing.
IBM announced watsonx AI Labs, an innovation hub in Latest York City geared toward increasing enterprise AI adoption — also acquiring data evaluation startup Seek AI.
The U.S. Food & Drug Administration launched Elsa, an agency-wide AI platform to assist speed clinical reviews and scientific evaluations.
COMMUNITY
🎥 Watch our last live workshop

Take a look at our last workshop with Dr. Alvaro Cintas, The Rundown’s AI professor. By the tip of the workshop, you’ll confidently have the option to make use of AI coding agents to enhance your development workflow.
Watch here. Not a member? Join The Rundown University on a 14-day free trial.
That is it for today!Before you go we’d like to know what you considered today’s newsletter to assist us improve The Rundown experience for you.
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See you soon,
Rowan, Joey, Zach, Alvaro, and Jason—The Rundown’s editorial team