Articles

WordPress 7 is laying the groundwork for AI in the editor, with new “connectors” that let you link WordPress to providers like OpenAI, Google and Anthropic from one central place.

In this video, I take the AI Experiments plugin for a proper spin and test what actually holds up in a real workflow.

We’ll look at AI-generated post titles, excerpts, content summaries, alt text, image generation (including featured images), and editor review notes — plus what’s useful, what needs more control, and what still feels like a demo feature.

I put together all of my Seedance 2.0 one-minute long take experiments into one compilation.

This is a full showcase of what I’ve been testing with AI filmmaking: longer camera moves, cinematic blocking, character continuity, atmosphere, action, and trying to make these clips feel less like random AI generations and more like actual film scenes.

Every clip was generated with Seedance 2.0, then edited together into one longer compilation to show how far AI video is moving right now.

Can you spot the transition points?

If you’re into AI filmmaking, cinematic AI video, Seedance 2.0, or the future of short films, let me know which long take worked best.

We exist through our creations… AI is the catalyst to the execution, but there is only one source of divine creativity. Most of these tricks are repeatable in any editing software including Capcut, Davinci Resolve, Premiere Pro, etc.

Every major commodity has a benchmark price — oil has Brent Crude, equities have the S&P 500. Now AI tokens finally have one too: the Token Price Index, built by Harsha Maddipatla, Partner in Strategy at Monitor Deloitte.

Token prices are heading in one direction: up.

The business that survive the AI Token Rug Pull will be the ones that got off the cloud before it came.

The video exposes how tech giants rely on an exploited, precarious workforce of human data annotators (often highly educated or from vulnerable backgrounds) to train AI models under unstable, low-wage gig conditions, arguing that this drive toward automation threatens full-time employment unless workers globally organize and demand better labor standards.

Watch this epic sequence created by @HeavyPulp using the latest model. Cinematic quality, insane detail, and storytelling that feels straight out of Hollywood. This is just the beginning.

Out of 131,441 backtest runs spanning 62 strategies and 31 assets, only 65 strategies survived a strict six-filter validation process designed to eliminate overfitting and survivorship bias.

The results revealed that simple, mathematically grounded mean reversion and volume strategies performed the best in out-of-sample walk-forward testing. Conversely, popular retail methods like trend following and candlestick pattern recognition had the lowest survival rates. Ultimately, the data demonstrates that genuine trading edge is rare, yielding modest, realistic returns rather than overnight wealth.

Matt Garman discusses Amazon Web Services’ strategic shift toward custom silicon like Tranium and Graviton chips to handle AI workloads. The conversation explores how these internal hardware advancements and AI tools are transforming software development productivity and shaping the future of cloud computing infrastructure.