AI creates 1-minute cartoons

Good morning, AI enthusiasts. AI-generated video has at all times faced major limitations in length and consistency, but recent research can have just unlocked a serious leap in storytelling capabilities.

With researchers using a brand new method and a dataset of Tom and Jerry cartoons to create minute-long, coherent generations, the times of short, disconnected AI video clips may finally be numbered.

In today’s AI rundown:

• NVIDIA and Stanford’s one-minute AI cartoons

• Amazon’s recent voice model, video upgrade

• Create eye-catching thumbnails with GPT-4o

• Murati’s Considering Machines adds ex-OpenAI talent

• 4 recent AI tools & 4 job opportunities

LATEST DEVELOPMENTS

AI RESEARCH

🎬 NVIDIA and Stanford’s one-minute AI cartoons

The Rundown: NVIDIA and Stanford researchers just unveiled “Test-Time Training,” an AI technique that allows longer video generation than previously possible—with demos producing minute-long cartoon clips with improved consistency and storytelling.

The small print:

• The system generates full minute-long animations with consistency across scenes, significantly outperforming existing methods in human evaluations.

• TTT layers work by utilizing neural networks as memory, allowing the model to recollect and maintain consistency across for much longer sequences.

• The team demoed the tech using Tom and Jerry cartoons, showing multi-scene stories with dynamic motion and character interactions.

• This approach modifies existing video models, adding TTT layers and enabling them to handle videos significantly longer than their original capability.

Why it matters: AI video has seen some mindblowing upgrades during the last yr, but one in all the most important constraints continues to be the length of clips and maintaining consistency across shots. This recent approach could eventually unlock the flexibility to inform longer, more coherent stories—without having to stitch together lots of of generations.

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AMAZON

🗣️ Amazon’s recent voice model, video upgrade 

The Rundown: Amazon just launched Nova Sonic, a brand new voice model for human-like voice interactions — alongside an upgraded Nova Reels 1.1 video model with upgraded quality and generation length.

The small print:

• Nova Sonic processes voice input and generates natural speech with a latency of 1.09 seconds, outperforming OpenAI’s voice models by significant margins.

• Sonic achieved a 4.2% word error rate across multiple languages and showed 46.7% higher accuracy than GPT-4o for noisy, multi-speaker environments.

• Reel 1.1 extends video generations to 2 minutes through each automated and manual modes, letting users craft content shot-by-shot or with single prompts.

• Each models can be found through Amazon Bedrock, with Nova Sonic costing roughly 80% lower than comparable OpenAI options.

Why it matters: Amazon’s one-two punch in voice and video shows the retail giant getting serious in regards to the genAI race across the board. With its Act agentic browser tool, Alexa+’s AI infusion, and other efforts, Amazon is making a stronger case than ever for developers to offer their AI stack a glance over more popular competitors.

AI TRAINING

🎨 Create eye-catching thumbnails with GPT-4o

The Rundown: On this tutorial, you’ll learn easy methods to use ChatGPT’s native image generation to create custom YouTube thumbnails immediately — using just easy text prompts, reference images, and even rough sketches.

Step-by-step:

1. Upload a reference image of yourself or the principal subject in ChatGPT, then write an in depth prompt describing exactly what you would like in your thumbnail.

2. For style consistency, upload each a reference thumbnail you want and your subject image, then ask the AI to take care of the style while swapping elements.

3. Refine results with follow-up prompts or use the edit feature to focus on areas needing changes.

4. For max creative control, upload a rough sketch showing your layout, together with any reference images you must include.

Pro tip: It’s also possible to use a picture expander tool like Canva or Adobe’s Generative Fill to regulate your thumbnail for perfect YouTube dimensions (16:9).

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THINKING MACHINE LABS

🧠 Murati’s Considering Machines adds ex-OpenAI talent

The Rundown: Considering Machines Lab, the AI startup founded by former OpenAI CTO Mira Murati, just added ex-OpenAI CRO Bob McGrew and GPT architect Alec Radford to its list of advisors—bringing the variety of OpenAI alumni on its roster to almost half.

The small print:

• 19 of 38 listed ‘Founding Team’ members have previously worked at OpenAI, including OpenAI’s co-founder John Schulman, leading as chief scientist.

• McGrew departed OpenAI in September after eight years, joining Murati just months after announcing a break from the industry.

• Radford was pivotal in creating OpenAI’s GPT technology and left the corporate last yr to pursue independent research.

• The startup was recently reportedly searching for to lift as much as $1B at a $9B valuation, though little has been revealed on its potential products or roadmaps.

Why it matters: Murati continues to assemble her former colleagues, with a roster including most of the minds behind ChatGPT, DALL-E, and other AI breakthroughs. With all the competition we have already got within the AI space, there are still labs from multiple OpenAI leaders in Murati and Ilya Sutskever (SSI) quietly waiting within the wings.

QUICK HITS

🛠️ Trending AI Tools

• 👁️ Gemini Live – Real-time visual AI on Android devices and via screen sharing

• 🎥 Runway Gen-4 Turbo – Produce 10-second videos in only 30 seconds

• 🔎 AI Mode – AI search with expanded visual and multilingual capabilities

• 🤝 ElevenLabs MCP – Create automated voice agents on other platforms

💼 AI Job Opportunities

• 🧩 Soundhound AI – Senior Director, Project Governance

• 🤝 Parloa – Partner Marketing Manager

• 📊 Deepmind – Senior Applied Data Scientist

• 🧮 Databricks – Accounting Manager

📰 The whole lot else in AI today

NVIDIA released Nemotron-Ultra, a 253B parameter open-source reasoning model that surpasses DeepSeek R1 and Llama 4 Behemoth across key benchmarks.

OpenAI published its EU Economic Blueprint, proposing a €1B AI accelerator fund and aiming to coach 100M Europeans in AI skills by 2030.

Deep Cogito emerged from stealth with Cogito v1 Preview, a family of open-source models that it claims beats the most effective available open models of the identical size.

Google rolled out its Deep Research feature on Gemini 2.5 Pro, claiming superior research report generation over rivals and adding recent audio overview capabilities.

Chinese scientists used the Origin Wukong quantum computer to finetune 1B-parameter models, seeing 15% training improvements and 76% reduction in model size.

AI2 and Google Cloud announced a $20M joint investment to power and speed up AI-driven cancer breakthroughs with the Cancer AI Alliance’s research platform.

Snapchat debuted Sponsored AI Lenses for brands, using AI-powered promoting to rework users into personal brand moments.

COMMUNITY

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See you soon,

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