The Daily AI Drop - Evening Edition, October 25, 2026

Alex and Jordan cover three videos that dropped this afternoon: Fahd Mirza testing the FLUX 3 Klein image model locally and asking whether AI image generation has plateaued, the story of a startup that closed after ChatGPT arrived, and Nate B. Jones on why enterprise AI pricing works differently than most people think. Together they paint a picture of an AI industry that is growing up — from raw capability to cost, control, and business models.

Fahd Mirza — Tested FLUX 3 Klein Locally: Has AI Image Generation Plateaued?

• Link: Watch source video ↗
• Fahd installs the FLUX 3 Image Klein model with ComfyUI and tests it thoroughly on his own hardware. The video asks whether image generation is still leaping forward or leveling off, now that each new model brings smaller visible gains. It matters because a model small enough to run locally shifts the advantage from access to taste, cost, and control — you can experiment privately, without paying per image or sending prompts to someone else's servers.

The Next New Thing — Story of a startup that closed after ChatGPT

• Link: Watch source video ↗
• This is the story of a startup that shut down after ChatGPT arrived and absorbed what it did. It matters because the killer is usually distribution, not technology: a platform with hundreds of millions of users can ship your feature to everyone overnight. The lesson for founders is to own something hard to copy — deep industry expertise, a trusted community, proprietary data, or a workflow woven into how a team actually works — rather than a feature a platform could add in a weekend.

Nate B. Jones — Enterprise AI Pricing: Why Everything You Know Is Wrong

• Link: Watch source video ↗
• Nate argues that conventional wisdom about enterprise AI pricing is wrong. Per-seat pricing breaks down because AI serving costs are not flat: a short question costs almost nothing, while a long agent run costs real money in computing. That is pushing vendors toward usage, credit, and outcome-based pricing, which matters for buyers (the sticker price says little about what heavy use will cost) and for builders (pricing is now a product decision, since your best customers can otherwise become your most expensive ones).