Tag: AI

After months of waiting, I finally got access to Google DeepMind’s Genie (Genie 3), the real-time world simulator that is redefining Generative AI. This isn’t just video generation anymore—this is a playable, interactive environment generated on the fly.

In today’s video, I take you hands-on with the public release to stress test the model. We go from “Google Street View” prompts to highly stylized comic book pages that come to life, test the limits of object permanence (Elden Ring style), and see if we can break the physics engine.

I also sat down for an exclusive interview with the DeepMind team to discuss the tech stack, why certain features were cut from the launch, and their roadmap to simulating reality with Genie 4.

Anthropic’s CEO, who has consistently predicted transformative AI will arrive before 2030, recently published a nearly 20,000-word essay outlining his vision of where AI is heading. The video gives you the highlights. The essay argues that scaling and recursion will advance AI from coding automation to full engineering automation, while warning of economic displacement within 1-2 years and China’s trajectory toward AI-enabled totalitarianism. Additionally, Dario Amodei predicts that AI models will increasingly be understood as collections of distinct personas rather than monolithic systems.

Luma Labs has officially released Ray 3.14 (Ray Pi), and things are heating up! Today we cut a slice to see if the new model is actually faster and cheaper, or if the pricing structure is hiding a few secrets. We break down the credit costs for 720p vs 1080p so you can get the most bang for your buck.

Plus, we dive into Decart’s mind-blowing Lucy 2.0 real-time world editing model that transforms your webcam feed on the fly, and we look at leaked checkpoints that suggest a major Google Veo update is around the corner.

Pairing practical filmmaking with ai video editing/vfx is key. AI will never be able to replace genuine human nature… but can definitely help get your story across. Try out Higgsfield by clicking the link below!

YouTube says it wants to get rid of fake AI videos flooding social media feeds on its platform. CBS News MoneyWatch correspondent Kelly O’Grady explains what’s driving the change.

James Cameron discusses the creative and technical challenges behind bringing Avatar to life, explaining how he began with a broad vision while working through countless details along the way. He reflects on the importance of world-building, from developing invented ecosystems to assigning scientific names that deepen realism and reward dedicated fans. Turning to the future of filmmaking, he emphasizes a cautious approach to AI, noting its potential to improve efficiency while stressing the importance of keeping films performance-driven and human at their core. He also touches on his partnership with Meta, aimed at expanding immersive, stereoscopic storytelling through head mountain displays.

Sam Altman said ads in ChatGPT would be a “last resort.” That was just over a year ago. Now OpenAI is burning billions monthly, sitting on $1.4 trillion in commitments, with only 5% of users paying. Turns out the last resort came fast when people can’t afford yet another subscription.

AI Video is here to stay, but if you feel like you have no idea what is actually going on—you aren’t alone. In this video, we are stripping away the complex jargon to give you a complete “Too Afraid To Ask” guide to the state of Generative Video in 2026.

We break down the history of the tech (from Deep Dream to Transformers), the core workflows you need to master like Text-to-Video and Image-to-Video, and the best tools available right now. I also compare the top models including Google’s Veo 3.1, OpenAI’s Sora 2, Kling 2.6, and the industry-standard image generator, Nano Banana Pro.

Whether you are part of the “freshman class” just getting started or a power user looking to refine your workflow, this video is your roadmap.

In this video, I break down the five AI fundamentals that actually matter if you want real results, not wasted months chasing shiny new tools. You’ll learn how to structure prompts properly, how to choose the right type of AI for each task, why agents are replacing chatbots, where open-source models fit into the future, and how AI-assisted coding removes the need to be a developer so AI finally works for you instead of against you.

Brianne Zavala breaks down key AI concepts like Machine Learning, NLP, Deep Learning, and Generative AI to help you stay ahead. Learn how to stay ahead, understand key trends, and explore the innovations shaping the future of technology!