I thought I had something wrong within my setup, I could never use Codex 5.3 while everyone else was praising it. It uses some weird terms and complex jargon and doesn't really make it clear what it was doing or planning to do unlike Opus which makes things clear, this allows me to give accurate feedback and change plans and make proper decision.

Not bad, but it sacrifices accuracy and there are risks of causing more hallucinations from having incomplete data or agent writing bad extraction logic. So the whole MCP assumes Claude is smart enough to write good extraction scripts AND formulate good search queries. I'm sure thing could expand in the future to something better, but information preservation is a real issue in my experience.

This is misleading. I'm running a live experiment here: https://project80.divcrafts.com/

There are 4 models, all receiving the exact same prompts a few times a day, required to respond with a specific action.

In the first experiment I used gemini-3-pro-preview, it spent ~$18 on the same task where Opus 4.5 spent ~$4, GPT-5.1 spent ~$4.50, and Grok spent ~$7. Pro was burning through money so fast I switched to gemini-3-flash-preview, and it's still outspending every other model on identical prompts. The new experiment is showing the same pattern.

Most of the cost appears to be reasoning tokens.

The takeaway here is: Gemini spends significantly more on reasoning tokens to produce lower quality answers, while Opus thinks less and delivers better results. The per-token price being lower doesn't matter much when the model needs 4x the tokens to get there.

WordPress Foundation is paying for the servers, so I guess they have the right to choose who gets access or not. Using the resources as a single person or a small business is not the same as using them from a hosting company with millions of websites. Other hosting companies contribute to the foundation which keeps the service running. If WPEngine isn't contributing anything, it would be unfair for other contributors/sponsors. Especially that they are making a large amount of money from it.

Working on an audio watermarking system.

I've got the API ready, which requires 2 main values: - The original file ( which can be sent as a file, or hosted internally and requested using an ID ) - The data that needs to be printed into the audio file.

The API will return a watermarked version of the audio file that you can use later to extract the same data you sent before.

It's currently being tested on a production website, will wait for feedback, improve, and create an actual service out of the API.