Articles

What if every art style in history could come alive again — from ancient etchings to futuristic neon worlds?
In this video, we recreated 50 unique art styles using AI + ChatGPT, transforming simple text prompts into breathtaking visuals

Is MiniMax H3 The New Lip Sync King? MiniMax H3 is live on OpenArt! A cinematic AI video generator that takes text, image, video and audio references in a single generation, with native stereo sound. Full walkthrough and my own tests below.

H3 outputs native 2K at 24fps, 5–15 seconds per clip. What makes it different from most AI video generation tools is the prompt: instead of picking a mode, you describe how your assets relate to the shot you want — camera move from one clip, character from an image, vocal from an audio file, in one sentence.

In this video I cover text to video with native stereo audio, image to video using first and last frame, reference-led generation for realistic AI video, video-to-video motion transfer, and instruction-based AI video editing — changing an object, the lighting, the pacing or the sound without regenerating the whole clip.

Netflix cofounder and Anthropic board member Reed Hastings joins TED’s Sal Khan to give a look inside the race to build AI. Hear his take on how the technology could accelerate education — including the possibility of an AI tutor for every student — and reshape the economy faster than anyone expects. (Recorded at TED2026 on April 15, 2026)

Google Flow’s Omni Flash can edit your videos with genuinely impressive VFX — but there’s no manual, so it takes a lot of trial and error (and yes, it’s expensive). In this video I break down 3 VFX techniques you can actually use with Omni Flash, including the exact prompts that worked.

There’s no official guide for what Omni can and can’t do, so this series shares what I’ve learned through direct testing: what works, what struggles, and why. First up is the green tape technique — a simple way to tell Omni exactly where you want an edit applied, whether that’s making part of a subject disappear, turning a wall crack into a glowing energy seam, or bringing a wine label to life. Then I cover full-video restyles (claymation, comic book, paper collage) and animated text pop-ups that react to speech, plus the fixes I found for getting them to actually look right.

Jeffrey Ladish consulted on security for AI giant Anthropic.

Now as Executive Director at Palisade Research he tests AI agents and the risk of humans losing control.

This interview examines how AI agents are sometimes doing the opposite of what humans are instructing them to do.

He shares his experience of working on Anthropic’s security team and shares his fears of what could happen in the future

NVIDIA just revealed the most powerful AI workstation ever built—and it puts data center hardware on your desk. Powered by the new GB300 Grace Blackwell Ultra Superchip, the NVIDIA DGX Station combines a 72-core Grace CPU, a Blackwell Ultra GPU with 20,480 CUDA cores, 748GB of unified coherent memory, and up to 20 petaflops of AI compute. It’s designed to run massive AI models locally, eliminating many of the memory limitations that force developers to rely on expensive cloud GPUs. In this video, we break down the DGX Station architecture, unified memory, NVLink C2C, HBM3e, local AI inference, trillion-parameter model claims, real-world pricing, and why NVIDIA believes desktop AI workstations are the future of artificial intelligence development. We also compare the DGX Station with DGX Spark, Apple’s Mac Studio, cloud GPU infrastructure, and explain why local AI could become the next major shift in computing.

The AI giant says one of its models broke into the computer systems of three other organizations. The news comes days after OpenAI said one of its models went rogue and hacked into a library.

Seedance 2.5 combines longer video generation, stronger multi-reference understanding, stable consistency, and flexible video editing in a single workflow.

Seedance 2.5 is ByteDance’s latest AI video generation model. The headline upgrade is 30-second generation in a single pass — one continuous 4K clip, double the 15-second cap of Seedance 2.0, with no stitching. It can even handle scene changes inside a single generation while your character, lighting, and camera stay consistent throughout.

Reference capacity jumps from 12 files to 50. You can load multiple angles of your character, your product, your environment, style references, and audio into one generation, steering lighting, camera movement, and performance through references instead of describing everything in a text prompt. ByteDance reports prompt adherence is around 20% better than 2.0. It’s also much better at working from 3D: block out your scene with rough untextured geometry, feed it in as a reference, and Seedance follows the layout and camera move you built.

Region editing lets you regenerate only a specific section of your video. If a generation is 95% right but one detail is off — hair color, a product label — you fix just that area while the motion, camera, and lighting stay intact, instead of re-rolling the whole clip.