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Speaking at the VivaTech conference in Paris on June 17, the Jeff Bezos pushed back on fears that artificial intelligence will eliminate jobs. Bezos argued that AI will help people identify and solve more problems, ultimately increasing demand for workers. He also outlined his vision for the future of space exploration, including permanent space colonies, off-world manufacturing and moving polluting industries beyond Earth.

Adobe is making more money than ever, so why is Wall Street treating it like the company is dying? While the internet is distracted by a $150 million FTC lawsuit over hidden cancellation fees, a much deeper crisis is threatening the tech giant’s 40-year empire.

Behind the scenes of Adobe’s sliding stock price lies a massive strategic panic, a botched $20 billion merger, and a controversial shift into generative AI that has sparked a historic backlash from creators. The “industry standard” software isn’t just fighting off predatory subscription scandals, it’s actively building an automation ecosystem that could replace the very professionals who keep it alive.

Higgsfield’s MCP and CLI connectors have given Claude full image and video generation capabilities – but can an AI agent make a better film than a real person? Today I gave Claude $500 in Higgsfield AI credits to see who can make the better AI cinematic

Higgsfield AI is a super popular AI tool that lets creators generate images and videos. It’s pretty expensive, and most times creators waste credits on a monthly plan. I built the core components of Higgsfield in this Claude Skill and show off what it can do here in this video.

Higgsfield AI + DaVinci Resolve Just Changed Video Editing Forever! Try Higgsfield inside Davinci

Don’t buy (or sub to) an AI film studio — build one! This is the future workflow of AI filmmaking: a complete production office that lives in one folder on your desktop, and you can download the whole thing free below.

I break down how to build a Claude-powered production system that handles story breakdowns, character reference grids, scene boards, and asset tracking — and, thanks to MCPs, generates shots while you keep working.

This is the full walkthrough of how Paperclip Heart was made, including every mistake, workaround, and weird ring-light bug along the way.

A complete beginner’s guide to Google Gemini in 2026, covering models, notebooks, personal intelligence, image and video generation, Canvas, and usage limits.

In this video, I walk through my complete workflow using ChatGPT, Gemini, Midjourney, Google AI Studio, and Antigravity to create an AI-generated landing page with animations, interactive elements, responsive layouts, and convert it into a fully functional WordPress theme.

Terence Tao has read more mathematics than almost anyone alive, and he uses AI tools every day. So when one of the most cited mathematicians on Earth says these systems still can’t ask a genuinely new question, it’s worth understanding exactly where he draws the line — because it isn’t where the headlines put it.

If AI has absorbed every textbook ever written, why can’t it discover anything new? Tao, a Fields Medal winner and professor at UCLA, separates what these systems do brilliantly from what they can’t do at all, and the boundary turns out to be sharper and stranger than most people assume.

We cover why reproducing a famous proof is less impressive than it sounds, what a neural network found hidden inside a million knots that humans had missed, why we still can’t predict which tasks AI will actually be good at, the “Keating Test” — the benchmark that would actually demonstrate machine thought — and where exhaustive recall ends and real conceptual origination begins.

AI can pass every exam. It just can’t ask a question nobody has asked before — yet.