AI Video That Talks Back 🎬

Odyssey-2 streams real-time video, Suno lets fans make music with Warner artists, and Perplexity remembers your preferences for smarter, private AI chats.​

AI is rapidly shifting from passive generation to active execution, driving immersive video creation, licensed music innovation, and deeply personalized AI assistants. Here’s what the next wave looks like:

🎥 Odyssey-2 – Launches instant, interactive AI video generation, streaming multi-minute videos at 20 FPS in response to text prompts, enabling real-time world simulation and open-ended storytelling for gaming, education, and creative media.

🎵 Suno x Warner Music – Partners to build a licensed AI music platform, letting users generate songs with WMG artist voices and compositions, while ensuring artist control, compensation, and new fan engagement tools.

🧠 Perplexity AI Assistants – Introduces persistent memory and privacy controls, remembering user preferences and past conversations for smarter, context-aware, and privacy-first interactions across all models.

AI isn’t just generating—it’s interacting, empowering, and remembering with precision.

Odyssey-2: Instant, Interactive AI Video Generation

Odyssey-2 is an advanced interactive AI video model that generates video instantly in response to text prompts, allowing users to shape and interact with video streams in real time—much like a conversation with a language model. The system uses a causal, autoregressive approach to create continuous, multi-minute video that adapts to user input, enabling open-ended interactivity and making video feel more dynamic and responsive. Odyssey-2 produces new frames every 50 milliseconds (about 20 frames per second), making it fast enough for real-time engagement and immersive experiences. It is trained to understand physics, dynamics, and long-term memory, which allows it to build coherent, evolving worlds that react naturally to user actions. The model is accessible instantly via browser and is expected to launch with an API for broader developer integration, opening doors for gaming, education, simulation, and creative storytelling.

Suno Partners with Warner Music Group for Licensed AI Music

Suno and Warner Music Group (WMG) have announced a landmark partnership that will allow users to create AI-generated music using the voices, likenesses, and compositions of WMG artists who opt in, while ensuring artists and songwriters retain full control and receive compensation for their contributions. The deal settles previous legal disputes and aims to build a next-generation licensed AI music platform, expanding Suno's creation features, fan engagement tools, and revenue opportunities for artists. This collaboration is expected to reshape how music is created, shared, and monetized, combining Suno's AI capabilities with WMG's expertise in artist development and music rights. The partnership will also introduce new interactive experiences for fans, allowing them to collaborate with top musicians and generate music using licensed WMG content, while future Suno models will be trained on WMG’s high-quality music catalog for even better results. Starting in 2026, Suno will require a paid subscription for song downloads, with each tier offering a set number of downloads per month.

Perplexity AI Assistants with Persistent Memory and Privacy Controls

Perplexity has launched AI assistants with memory, allowing the system to remember user preferences, interests, and past conversations for more personalized and context-aware responses. This feature automatically pre-loads critical context, so answers are smarter, faster, and tailored to individual needs without manual summarization or context resets. Memory works across all Perplexity models, giving users the flexibility to switch between AI systems while maintaining their personalization layer, and it is fully user-controlled with options to disable it, encrypted storage, and incognito mode for privacy. This upgrade enables more accurate recommendations, contextual follow-ups, and seamless continuity in complex tasks. Memory persists across conversations and models, recalling details like favorite brands, travel interests, and shopping habits to make future interactions more relevant. The system also supports citation-based transparency, showing which past memories influenced responses, and users can review, clear, or manage their stored information at any time. Enhanced privacy measures ensure sensitive data is minimized and protected, with robust controls for user preferences and data retention.

Hand Picked Video

Meet Olly Pro, the newest and most advanced AI model now available inside the Olly API! In this video, I’ll show you everything, from generating your API key to selecting Olly Pro inside the extension settings.

Top AI Products from this week

  • CyberCut AI - CyberCut AI helps creators and teams produce viral videos fast. Auto-slice long footage into social-ready clips, generate marketing videos, add high-precision subtitles, edit by text, access an AI asset library, try virtual model try-ons, and use a full AI toolkit.

  • TwelveLabs Marengo 3.0 - Marengo 3.0 is TwelveLabs' most significant model to date, delivering human-like video understanding at scale. A multimodal embedding model, Marengo fuses video, audio, and text for holistic video understanding to power precise video search and retrieval.

  • Cocoon by Telegram - GPU owners mine TON by powering the network; App developers plug into low-cost AI compute; Users enjoy AI with full privacy and confidentiality; Telegram fuels demand and hype for Cocoon

  • The ∞ Bar - Let me be honest. We can already roleplay as famous personalities using ChatGPT or Gemini. That’s not new. What we’re doing differently with The Infinite Bar is context and experience. So it’s not “you talking to Steve Jobs.”

  • URLcut.ai - Taskade Genesis one-shot builds live AI apps with memory, chat agents, and automated workflows. Projects remember, agents think and act, and automations handle real work. Build dashboards, CRMs, portals, and business systems that run themselves.

  • NeuralAgent - NeuralAgent is your AI teammate that actually uses your computer, it moves your mouse, clicks, types, and automates real work across apps. This update introduces specialized agents, We started with NeuralCode, NeuralResearch, and NeuralGrowth based on the most popular use cases on NeuralAgent

This week in AI

  • AI Tech Predictions2026 - In 2026 will see AI in the human loop, quantum-safe security, companion robots for loneliness, and developers evolving into renaissance polymaths blending art, science, and engineering.

  • Step-Audio-R1 Audio Reasoning Breakthrough - Step-Audio-R1 is the first audio language model to unlock test-time compute scaling, solving inverted scaling by grounding reasoning in acoustic features, not text, outperforming Gemini 2.5 Pro and matching Gemini 3 Pro on audio benchmarks

  • Claude 4 Long-Horizon Reasoning - Claude 4 excels at extended reasoning, maintaining context and state across long tasks. It uses incremental progress and can save state between context windows, enabling effective multi-step problem solving and complex agent workflows.​

  • AI Policy Catalog - Explore radical, weird, and specific political visions generated by digital candidates, showcasing AI-driven policy proposals and imaginative governance ideas from the AI Policy Catalog.​

  • Huginn Self-Hosted Automation - Huginn lets you create custom agents to monitor events, scrape web data, and automate tasks across multiple services—like a self-hosted IFTTT/Zapier with full control over your data.​

Paper of The Day

The framework leverages self-supervised learning for scalable predictions, integrating multimodal data to improve both accuracy and interpretability in fields like medical imaging and molecular analysis. It uses cross-attention mechanisms to align substructures across views, enhancing semantic consistency and performance. The method outperforms traditional supervised approaches, showing robust results in both single and multi-center validation studies. This approach sets a foundation for future systems that require reliable, physics-informed, and interpretable AI predictions.​

To read the whole paper 👉️ here