241–250 of 256 posts
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I thought all the designers have been using vector graphics for a long time now.
"Designer" is a very broad term and can mean very different things to different people, not everyone is doing stuff that can be represented nicely by vectors.
This feels like a genuine step change in AI development. Inline with Dec 2025 release of Opus 4.6. Where do we go from here??
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You would not expect the developers of the model to optimize for a well known benchmark?
Here's 'Generate an SVG of a ring-tailed lemur riding an electric scooter' at reasoning level max: https://tools.simonwillison.net/markdown-svg-renderer?url=ht... Quote from the thinking trace: > I’m thinking about how a helmet would obscure lemur ears, but using an electric scooter helmet seems responsible. It's pretty solid - face is a little wonky but excellent tail and scooter.
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Btw, they had 3D pelican-on-the-bicycle easter egg in one of the promo videos: https://youtu.be/bOC3DisEOfg?t=117 so I'm pretty sure that they spent some small amount of resources to train the model to produce good svg version as well. :D
This is one of those benchmarks I don’t mind if they benchmax because it would mean models are actually good at creating svg graphics.
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You would not expect the developers of the model to optimize for a well known benchmark?
Here's 'Generate an SVG of a ring-tailed lemur riding an electric scooter' at reasoning level max: https://tools.simonwillison.net/markdown-svg-renderer?url=ht... Quote from the thinking trace: > I’m thinking about how a helmet would obscure lemur ears, but using an electric scooter helmet seems responsible. It's pretty solid - face is a little wonky but excellent tail and scooter.
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It's actually not just valuable, but infinitely valuable. Because it's imaginary, there is no way to do it perfectly, and thus the possibilities are endless, and it tests out both the formulation and execution of ideas.
Starting my SVG of a pelican on a bicycle as a service startup today, invest now for infinite returns!
I posted this in the other Astra thread but it's just fallen off the homepage, so... Pelicans from Astra, plus 5.6 Sol, Terra, Luna for comparison: https://static.simonwillison.net/static/2026/gpt-6-and-5.6-p... I think this is a genuinely interesting comparison grid. Astra may be more expensive, but if you have a budget of 10 cents for a Pelican Astra low gives you something SO much better than the other models. Ast…
It's ability to handle non-90 degree cutouts and shapes for web dev is one of the best I've seen. The vision model on this is VERY capable. Here's an image design source of truth: https://image.non.io/78f4cd8b-2560-4643-9a51-96a89171f994.we... And here's the page it build from it: https://image.non.io/e7d3a9e5-f9df-4fd8-b79f-1f90280f978f.we... Note the flowing svg lines, and how accurately it recreated them. Here's O…
I don't get it. For me it seems Opus was more accurate in terms of for example this small building in the right down corner
Another way to think about it is you could prompt Astra to put the building back in. You couldn't prompt Opus 5 to get the correct curvature of the line / cutout. That part has always been a huge struggle for models.
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It's like saying you're not paying for senior level engineers because you can get juniors for quarter the price per hour.
Assuming what GP said is accurate (tokenmaxxers not delivering more value for the usage), the analogy is more like realizing the seniors you hired aren't actually producing any better results than juniors you could get for a quarter of the cost.
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Many people still believe that LLMs can only reproduce what is in their training set.
That'd be too restrictive, but to get improvement in a particular domain you definitely need to train specifically for it. Just cramming more random internet text in a bigger model has stopped being a effective way of scaling since at least mid 2023.