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Comment by jjcm | Hacker News Reader

The visual web development / perceptionbench scores are very promising for image->html flows. Here are some test results.

Original designs: https://image.non.io/257dc9cb-9e6b-4e00-8f12-23ea5e073649.we...

These are fairly rich, pattern-heavy, nuanced designs. I've asked each to create it as a SPA where the map flows behind it.

Opus 5 results: https://html.non.io/opusAcmeBooks

Qwen 3.8 max results: https://html.non.io/qwenAcmeBooks

Same prompt for both for the conversion. I used OpenCode for the qwen version, but I encountered a significant amount of errors / timeouts while it was running. Claude finished in around 16 min, but I spent close to 2 hours shepherding the Qwen build. For the implementation, there were signs it had good vision, but the timeouts make this very hard to use in a production setting.

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Update: Tried using Qwen Desktop. It told me it succeeded, and linked me to the folder it created it in.

That folder didn't exist, I asked Qwen where the files were, and it attempted to create them again.

Stopped it, and asked what happened to the original files. Qwen Desktop apparently doesn't have access to the local file system, but continued merrily along without warning about that.

https://image.non.io/07a153cd-c31c-4f7b-a89d-363faec05a91.we...

Also tried Qwen Code. Tried it with a coding plan and it 401'd. Tried it with an api key I loaded up with pay-as-you-go credits and it 401'd.

It did a self update and it worked for a single request (me just saying hi). Pasted in the prompt to build the page and it 401'd.

AGI confirmed

Wow the Opus version is a lot more functional (try clicking some links).

I'm quite surprised at the difference.

So Opus introduced a container with overflow:scroll in the middle of the page, while Qwen didn't? That's interesting in terms of "smartness".

I've had nothing but trouble with Qwen on opencode. GLM too. I know a few people who use them on Ollama could without issue though, so I don't think it's a model issue.

Both horrific (from a user's perspective, perhaps not the underlying code).

I've noticed another type of AI slop that's prevalent in all the popular models; font sizes and variations like you wouldn't believe. It's very hard to instruct LLM's not to do this.

I thought it was pretty cool, its the kind of stuff that I wish there was more of on the internet. I guess some people's imagination runs a little more than others.

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