Articles

Sam Palmisano says the AI boom is built on long-cycle bets in data centers, chips and energy, even as AI software changes at breakneck speed. If adoption slows or cheaper Chinese open-source models gain traction, Big Tech may have to rethink the spending plans behind today’s AI race.

In this video I break down several different methods for how to actually Make money with AI video. There are so many guru type videos on this topic, but none show you methods that’s are actually sustainable. Especially with tools like seedance 2.0 ai video is reaching a level where it can easily be monetized. For this video i interview Chris branch to share his experience as an ai agency owner that has worked with brands like coca cola. We discuss the possibilities of ai video in this industry.

MAGA allies are making huge bets on AI amid new signs that a tech “bubble” could rattle the economy. MS NOW’s Ari Melber reports and is joined by Facebook co-founder Chris Hughes and journalist Ed Zitron.

Curious Refuge examines the release of LTX 2.5 and compares its performance and capabilities against other open-weighted AI video models like Minimax H3. This episode also explores new 3D generation tools, integration updates for Adobe and ChatGPT, and provides a compliance guide for professional AI film production workflows.

The US federal government expects to collect about $1.8 trillion in payroll taxes this year and about $404 billion in corporate income tax. That ratio is why AI displacement is a solvency problem and not only a labor problem – and it’s why robot taxes, public wealth funds and universal basic income moved from the fringe to the Senate floor in a single spring. This video walks through what the frontier AI labs actually proposed, what the one real-world experiment found, and why the tax lawyers say none of it can be defined yet.

ComfyUI just shipped its official MCP — which means Claude (or Codex) can now build, run, and fix your ComfyUI workflows while you keep the creative half. I’m caveman-level at ComfyUI at best, and with an AI copilot doing the node engineering, I was generating images and video 100% locally on my own machine, for free. Full setup (it’s genuinely one sentence), when to run local vs. API nodes, and the easiest LoRA install you’ve ever seen.

We’ll cover what you need to get started (Claude Desktop or ChatGPT Desktop with Codex, plus the ComfyUI desktop app), what hardware actually matters, how to have Claude build an image-to-video workflow from scratch, how API nodes let you mix open-source models with closed platform models like Seedance 2.5 and Topaz in a single graph — and why the gap between open source and state-of-the-art is closing fast. As costs rise on the closed platforms, anything you can generate locally, you probably should.

Two mystery AI video models — codenamed “Polaris” and “Vega” — just started showing up in blind testing on the Artificial Analysis arena, and nobody has confirmed who made them.

There’s no official attribution yet, but between the timing and the quality, I’d be surprised if at least one of these isn’t Meta’s long-promised video model. Could be Kling 4? Could be a dark horse?

In this one I break down every output we’ve got — multi-shot character consistency, physics, on-screen text, native audio, and one extremely uncensored baby Batman — and tell you which of the two I’d take head-to-head.

Plus: StillsLab, a free shot-reference library built for exactly the way AI filmmakers work — color palettes with hex codes, camera and lens data on every still, and a visual search I haven’t seen anywhere else: feed it your AI generations and it finds real film shots in the same visual family.

Getting Started With OpenArt | How to Create an AI Video Part 2. In this next video we’ll take it up a notch and venture into ai video generation. Where you could simply describe with text what you want to translate into video! Emily breaks down the navigation and the basics to get you started.

In this video CJ answers questions and clears up misconceptions about open weight models. He explains who creates models, how they’re created, how we access them, what open weights actually are and discusses the risks of running models.