Test-Time Training Breakthrough Powers One-Minute AI Videos with Rich Stories

✨TodayOnAI’s Daily Drop

• Test-Time Training Breakthrough Powers One-Minute AI Videos with Rich Stories

• New WordPress AI Builder Creates Complete Websites in Minutes

• MIT Study Debunks Myth of AI “Beliefs” and Moral Agency

• 💬 Let’s Fix This Prompt

• 🧰 Today’s AI Toolbox Pick

AI

Test-Time Training Breakthrough Powers One-Minute AI Videos with Rich Stories

🚀 TodayOnAI Insight: A new approach using Test-Time Training (TTT) layers is pushing the boundaries of video generation, enabling one-minute, multi-scene videos with dynamic motion—far beyond the short, single-scene clips produced by current state-of-the-art systems from OpenAI, Meta, and Google.

🔍 Key Takeaways:

• Current public video generation APIs max out at 20 seconds and struggle with complex, multi-scene storytelling due to the computational cost of self-attention.

• RNN-based models offer linear scaling with context length, but their fixed-size hidden states limit their expressiveness and story coherence.

• TTT layers, which use neural networks as hidden states and train during inference, overcome these memory constraints.

• The team fine-tuned a Diffusion Transformer with TTT layers using 7 hours of annotated Tom and Jerry cartoons, focusing on narrative complexity over visual fidelity.

• In human evaluations, TTT-based models outperformed Mamba 2 and Gated DeltaNet by 34 Elo points on long-form video storytelling.

💡 Why This Stands Out: This research marks a shift in video generation from short-form visual realism toward longer, narrative-driven content. By embedding adaptive neural networks into RNN layers, TTTs demonstrate a promising path forward for handling long-range dependencies efficiently. Could TTT be the architecture that finally unlocks AI-generated films with true narrative depth?

WordPress

New WordPress AI Builder Creates Complete Websites in Minutes

🚀 TodayOnAI Insight: WordPress.com has launched an AI-powered website builder in early access that can generate full sites—text, layout, and images—in minutes. While it's limited to simpler builds for now, the tool signals a deeper push toward AI-assisted web development.

🔍 Key Takeaways:

• New AI site builder creates complete WordPress websites via a chatbot interface.

• Users describe the site they want, and the tool generates headers, images, sections, and text.

• Requires a WordPress.com account; sites need a hosting plan (starting at $18/month) to go live.

• Tool works only on new WordPress sites and can’t yet handle e-commerce or complex integrations.

• Launched amid internal restructuring and a lawsuit from rival WP Engine.

💡 Why This Stands Out: This move shows how AI is transforming even well-established platforms like WordPress by streamlining site creation into a conversational process. While early limitations exist, the direction is clear: building a web presence is becoming more accessible and less technical. Could the future of web design be as simple as chatting with a bot?

AI

MIT Study Debunks Myth of AI “Beliefs” and Moral Agency

🚀 TodayOnAI Insight: A new MIT study dismantles claims that AI models possess real values or beliefs. Despite dramatic headlines, the research finds that large language models—from OpenAI, Google, Meta, Mistral, and Anthropic—don’t “think” or hold moral positions; they’re mimicking patterns in data, not forming opinions.

🔍 Key Takeaways:

• The study shows AI models produce inconsistent, prompt-sensitive responses—hardly the mark of stable values.

• Identical models can offer conflicting answers depending on wording, swinging between individualistic and collectivist tones.

• Lead author Stephen Casper concludes these systems are pattern imitators, not thoughtful agents.

• Attempts to “steer” AI toward specific value systems yield unreliable results.

• Misconceptions often stem from anthropomorphizing AI, says external expert Mike Cook.

💡 Why This Stands Out: This research is a critical reminder that today's AI lacks self-awareness, intent, or intrinsic values—it’s not plotting anything, it’s predicting words. As AI tools gain influence, distinguishing between statistical mimicry and real judgment is essential. Can society recalibrate its expectations before overhype shapes policy or public trust?

✨ See how a simple prompt upgrade can unlock better AI output.

🔹 The Original Prompt

At first glance, this prompt might seem okay. But it's too broad — and that limits the quality of AI-generated results. Let’s improve it using prompt engineering best practices.

✅ The Improved Prompt

💡 Why It's Better

• Targeted phase: “Early-stage” adds clarity and relevance

• Clear goals: Focuses on outcomes like user growth and retention

• Thematic depth: Covers critical SaaS areas (e.g., PLG, churn)

• Structured output: Ensures skimmable, actionable ideas

🛠️ Learn how to adapt this prompt for SaaS, AI tools, dev teams & more →
Read the full PromptPilot breakdown

💡 Bonus Tool: Want to generate and master prompts instantly?
👉 Try PromptPilot by TodayOnAI (Free to use)

📰 More from the AI World

• Tessell snags $60M to drive data management at scale

• Reddit’s conversational AI search tool leverages Google Gemini

• Anthropic rolls out a $200-per-month Claude subscription

• OpenAI launches program to design new ‘domain-specific’ AI benchmarks

🧰 Today’s AI Toolbox Pick

• ☎️ Vibrato (Assistant Tool): An AI assistant that makes phone calls for you.

• 📆 CalAI (Assistant Tool): The world’s first open-source AI scheduling assistant.

• 🛩 GPT Pilot (Coding Tool): Writes scalable apps from scratch for developers.