ByteDance unveils 'OmniHuman-1'

PLUS: Apple introduces AI-powered party planner

Good morning, AI enthusiasts. Researchers from TikTok owner ByteDance just unveiled OmniHuman-1, showing off the most insane AI model yet for generating videos indistinguishable from real footage.

They can clone any human into a video with just a single photo and audio input. But is society ready for what this means for the future of digital content?

In today’s AI rundown:

  • ByteDance’s AI-human model breakthrough

  • Apple introduces AI-powered party planner

  • Build a personal AI automation tool

  • AI creates a database to help detect cancer earlier

  • 4 new AI tools & 4 job opportunities

LATEST DEVELOPMENTS

BYTEDANCE

Image source: ByteDance

The Rundown: Researchers from TikTok owner ByteDance just unveiled OmniHuman-1, an AI system that can generate some of the most realistic deepfake videos we’ve ever seen, all from just a single reference image and audio input.

The details:

  • The system can create convincing videos of any length and style, with adjustable body proportions and aspect ratios.

  • It handles diverse inputs from cartoons to challenging human poses while maintaining style-specific motion characteristics.

  • It’s trained on 19,000 hours of video and can even modify movements in existing footage.

  • Despite 10 U.S. states enacting laws against AI impersonation, detection and regulation remain major challenges.

Why it matters: ByteDance hasn't publicly released OmniHuman-1, but the demos have officially erased the line between real and AI-generated. As similar powerful systems inevitably become available, society faces an urgent challenge: verifying what's real in a world where anyone can create perfectly fake videos.

TOGETHER WITH DYNAMIQ

The Rundown: Dynamiq empowers individuals to break free from traditional no-code tool constraints and build multi-agent systems with a fully customizable low-code interface.

With Dynamiq, you can:

  • Build agents at zero cost with our free plan (no credit card needed)

  • Avoid tedious setups with pre-integrated connections to the top LLMs

  • Jumpstart your projects using ready-to-go agent templates, fully customizable using Python code

APPLE

Image source: Apple

The Rundown: Apple just released Invites, a new AI-powered event planning app that integrates Apple Intelligence with multiple Apple Services to create custom invitations and manage events.

The details:

  • The app uses AI to generate custom images and text for invitations through Image Playground and Apple Intelligence Writing Tools.

  • It also integrates multiple Apple services (Photos, Music, Maps, Weather) into a single event portal.

  • Unlike most Apple services, it's accessible to non-Apple users for RSVPs and photo sharing.

  • While free to download in the app store, this marks Apple's first AI-powered standalone app, suggesting a shift in their AI strategy.

Why it matters: While competitors race to build powerful models, Apple takes a different approach by integrating AI into focused, practical apps. The company is still finding its footing after a rocky start with Apple Intelligence, but its track record of perfecting features through iteration might be exactly what's needed.

AI TRAINING

The Rundown: In this tutorial, you’ll learn how to build your own AI automation running locally and privately using N8N's automation platform and Ollama's language models, such as DeepSeek.

Step-by-step:

  1. Install Docker Desktop and Ollama, then set up N8N using Docker commands found here.

  2. Download a language model through Ollama (7B or 14B size recommended).

  3. Create a new N8N workflow with a chat trigger and AI Agent node.

  4. Select your Ollama model and add Window Buffer Memory for conversation context, then start chatting!

Pro tip: Use "host.docker.internal:11434" as your base URL in N8N to ensure smooth communication between N8N and Ollama.

PRESENTED BY GALILEO

The Rundown: Galileo’s new eBook brings you a 100-page roadmap to creating reliable AI agents — complete with strategies for navigating issues like framework selection, performance tuning, and avoiding common pitfalls.

With this guide, you’ll learn how to:

  • Select the right agentic framework for your needs

  • Evaluate and improve agent performance with proven techniques

  • Identify and resolve failure points before they impact production

Get your copy and start building stronger AI agents today.

AI RESEARCH

Image source: John Hopkins University

The Rundown: Johns Hopkins researchers just created AbdomenAtlas, an AI-powered dataset of 45,000 3D CT scans with 142 annotated anatomical structures, dramatically accelerating medical image analysis for early cancer detection.

The details:

  • The dataset is 36 times (!) larger than its closest competitor, combining scans from 145 hospitals worldwide.

  • Using AI and 12 expert radiologists, the team completed in two years what would have taken humans 2,500 years.

  • The system achieved a 500-fold speedup for organ annotation and 10-fold for tumor identification.

  • The team plans to release AbdomenAtlas publicly and continues adding more scans, organs, and tumor data.

Why it matters: AbdomenAtlas could transform early cancer detection by giving AI models much more comprehensive training data. However, even at 45,000 scans, it represents just 0.05% of annual US CT scans — highlighting how early we are in building truly comprehensive medical AI systems.

QUICK HITS

  • 🎙️ PlayAI Dialog 1.0 - AI text-to-speech model with a focus on ‘ultra-emotional voices’

  • 🧑‍💻 Replit iOS App - Turn your ideas into apps with Replit’s new iPhone AI app

  • 🧠 OpenAI Kit - A free portal to in-depth research responses from OpenAI’s DeepResearch feature

  • 🐼 Earkick - An AI mental health iOS app that’s fully anonymous with no registration or data collection required

  • 🤝 The Rundown - Partnerships Manager

  • 💼 UiPath - Enterprise Sales Executive

  • 📈 Waymo - Product Data Science Lead, Supply Operations

  • 🔎 Databricks - Senior Software Engineer, Search

Free event - 2/18: The AI Valuation Playbook with EY’s global AI leader. Get practical tips for using AI to reach company objectives. RSVP now*

Figure ended its collaboration agreement with OpenAI, hinting at a major breakthrough in end-to-end robot AI to be revealed within 30 days.

Kanye West confirmed he's using AI on his upcoming album 'BULLY,’ comparing the role of technology in music to that of autotune.

LiveKit introduced a new transformer model for more natural AI voice conversations, reducing unintentional interruptions by 85% through improved end-of-turn detection.

Google published its 2024 Responsible AI Progress Report and updated its Frontier Safety Framework, introducing new protocols for managing AI risks and security.

Hugging Face released open-Deep-Research, an open-source alternative to OpenAI's Deep Research, achieving 55% accuracy on the GAIA benchmark with autonomous web navigation capabilities.

Adobe enhanced Acrobat's AI Assistant with contract intelligence features to help users understand complex legal documents and identify key terms.

Snap unveiled a mobile-first AI text-to-image model that can generate high-resolution images in 1.4 seconds on iPhone 16 Pro Max, and it plans to integrate it into Snapchat features.

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COMMUNITY

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

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