Tag: AI

AI projects often slow down before real testing begins, with setup, configs, and infrastructure getting in the way. This RunPod Review looks at how quickly a simple workflow can move from zero to a working result, showing where the process feels smooth, where performance can be checked, and where limits may appear before the usual technical roadblocks take over.

For years, Wix felt impossible to escape. It was one of the biggest website builders in the world, spent millions on Super Bowl ads, and became a household name for anyone trying to build a website without knowing how to code. But the story behind Wix is much messier. The company started with a simple idea: make building websites easier through drag-and-drop tools. That helped Wix grow from a few million users into a massive platform with more than 200 million users. Along the way, it went public, spent heavily on marketing, fought with WordPress, and built a business around turning free users into paying customers. Then the pandemic sent Wix into overdrive. Its valuation briefly reached around $20 billion as millions of businesses rushed online. That growth didn’t last. Profits turned into huge losses, the stock crashed, and Wix was forced to cut costs. The company eventually recovered, but then AI changed the website industry almost overnight. Now Wix is trying to reinvent itself with AI products like Harmony and Base44. Those efforts have faced delays, rising costs, layoffs, and growing questions from investors. This is the story of how Wix became one of the biggest names on the internet, and why its future suddenly looks a lot less certain.

Aman details personal experiences with the new PCIe5 power connector, including troubleshooting connectivity issues. The video explores how DLSS AI frame generation affects performance claims and compares the value proposition of the 50 series against previous generations and market pricing.

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.