5 ms·
My personal AI benchmark: “Generate an SVG of a frog with a Habsburg jaw”
- thebigship 2mo agoI think this one has advantages over the “pelican riding a bicycle” one because it hinges on an anatomical feature that many models associate with royalty, “habsburg” being a lineage and “habsburg jaw” being an anatomical feature. Seven of fourteen models silently imported royalty into a prompt that named only an anatomical feature. Two of them knew they were extrapolating ("because Habsburg") and did it anyway. Mistral returned byte-identical output across separate calls. Gemini narrates its work in 65 comments; Llama says nothing. If you're deciding which model to trust with instructions, "how much does it embellish beyond what I asked" and "does it behave deterministically" are directly practical questions.
- HPsquared 2mo agoBite-identical?
- deleted 2mo ago[deleted]
- thebigship 2mo agoclearly I missed an amazing copy opportunity, thank you haha
- n00bskoolbus 2mo agoThe identical pair from Mistral took me off guard. Many of the other models were so varied between the runs which is more what I would expect.
- fwip 2mo agoI wonder if the setup accidentally hit a cache at some layer.
- zahlman 2mo ago> Two of them knew they were extrapolating ("because Habsburg") and did it anyway. You seem to imply that they ought not to. I disagree. I wasn't familiar with the term before this post. Having learned it, were I given the task, I think I'd be strongly tempted to do the same extrapolation. > If you're deciding which model to trust with instructions, "how much does it embellish beyond what I asked" and "does it behave deterministically" are directly practical questions. Agency is agency. You still need to vet what the model's output is actually permitted to control.
- thebigship 2mo ago> You seem to imply that they ought not to. I disagree. That would be like saying anyone with Lou Gehrig's disease must look like Lou Gehrig. So we'll have to agree to disagree here.
- zahlman 2mo agoWell, no, I think you create a pretty clear false dichotomy there. Certainly a person with Lou Gehrig's disease could look like Lou Gehrig; and especially in a cartoon illustration, where it's difficult to convey the point, this kind of artistic license is used specifically so that the viewer will make these kinds of associations. I would, likely, otherwise perceive an underbite as just an underbite.
- sixtyj 2mo agoFor those who don’t know a Habsburg jaw also known as mandibular prognathism, it is a genetic condition characterized by a protruding lower jaw, which was notably prevalent among members of the Habsburg royal family due to their history of inbreeding. This condition often resulted in significant facial deformities and difficulties with eating and speaking.
- getnormality 2mo agoThis is a strong benchmark! None of these could be remotely mistaken for human art. Opus 5 comes closest.
- hn_throwaway_99 2mo agoI thought this was great, and hilarious. Kudos to Opus 5, I thought it was the only one that came close to passing. Interestingly, I thought many of the failures drew the frog face OK, and they had some type of big blob for the jaw, so they knew "Hapsburg jaw" meant a protruding jaw, but it wasn't really connected to the frog face in any way that made sense. Small side note, the first gemini-2.5-pro one totally reminded me of some sad faced meme or Pepe the frog from somewhere. Anyone know what I'm referring to, tried to find it.
- viciousvoxel 2mo agoPerhaps you're thinking of Salad Fingers?
- qwertybased 2mo ago~I'm leaning more towards the rage face poker face~ edit: nevermind, definitely "monkey-puppet side-eye" vibe.
- leumon 2mo agoCan you also try the new deepseek v4 flash?
- thebigship 2mo agoI will add it to next month's report!
- leumon 2mo agoThank you!
- thebigship 2mo agoHi all, the site is getting hugged to death, thank you, was not expecting this kind of warm response. I will be working to make this more reliable, in the meantime, sign up for my newsletter: https://www.jaymollica.com/blog/ https://www.jaymollica.com/blog/ also my favorite SVG was def the google/gemini-3.6-flash edit: ok better now I think
- troupo 2mo ago> also my favorite SVG was def the google/gemini-3.6-flash That looks like something from Machinarium or Robots :)
- troupo 2mo agoMine is any variations on mammoths in various situations, or anthropomorphic. Since mammoths are invariably majestically going from one place to another in any of the books, models have hard time imagining anything but that. Also try a fantasy archer with a proper bow who is not brooding, sitting in a fantasy wood :)
- dehrmann 2mo agoHow do models approach SVG generation? In one version, I imagine them actually trying to reason about them as an LLM. In another, I imagine something closer to a GAN.
- TSltd 2mo agoI would be interested to hear more about that too. SVGs seem to be one of the biggest challenges- it has to write reasoned code rather than simply find averages of rasterized pixels. One thing I noticed is that none of the models chose to draw the frog in profile which would have made the jaw shape more prominent. To me that suggests the reasoning is very limited: "draw a frog" and "add feature X". The statistically average frog in the SVG training data is apparently front-facing. I tried the prompt in ChatGPT images (not SVG) and it produced a photo-realistic image of the frog in profile, showing the jaw clearly. Then when I asked it to convert the image to a cartoon vector it fell back to a generic front portrait template similar to those shown in the benchmark, nothing like the profile it had just produced.
- akomtu 2mo agoImage -> loose text description -> SVG. Did you notice that ChatGPT writes a verbose description of the image first?
- linksnapzz 2mo agoA friend’s favorite prompt is “Batman & Julia Child; in the kitchen laughing at a ham”. Sounds simple, but has been surprisingly tough.
- wren6991 2mo agoOpus 5 clearly frogmaxxed. gemini-3.6-flash runs 2 and 3 responded best to the royal portrait context.
- rush86999 2mo agoIt's opus 5 > Kimi K3 > grok 4.5 That's a pretty good benchmark
- evan_ 2mo agoHopsburg Jaw
- 4sak3n 2mo agoI so desperately want to upvote this. Driveby puns don't get nearly enough recognition
- epolanski 2mo agoGemini 3.6 flash is crazy good. Would've wanted to see also DS4 flash.
- MiroslavPokorny 2mo agoMy test is to ask AI to pick up all the rubbish at the beach.
- deleted 2mo ago[deleted]
- kindawinda 2mo ago[flagged]
- gerdesj 2mo agoPlease could we have a human generated image to compare the AI generated tosh with?
- ianberdin 2mo agoCheck out my MacBook SVG benchmark. From my experience, it demonstrates the Real model’s behavior. However, I notice the errors it makes, which are similar to the mistakes made by the mistake model in code. https://playcode.io/blog/macbook-svg-benchmark https://playcode.io/blog/macbook-svg-benchmark
- xenonite 2mo agoGreat idea! Would be interesting to see the raw SVG sources too, not only the renderings.
- ricardobeat 2mo agoGemini 2.5 Pro fails, but has a distinctive art style that is quite nice. It seems to understand shading to a much higher level than all other models.
- klooney 2mo agoI preferred the Gemini 3-6 ones with all the extra kingly decorations
- epolanski 2mo agoI don't get the point of these benchmarks, what are they supposed to represent practically?
- viccis 2mo agoThe ability of an LLM to produce something not in its training data set.
- deleted 2mo ago[deleted]
- runarberg 2mo agoFor me this looks ideological (or even political), not practical. The theory is that LLMs are approaching general intelligence (whatever that means) and that the more generic of a task they can perform—no matter how badly—the closer we are to AGI. Specialized models can do this a lot better and for far cheaper then LLMs, but because people are so politically invested in a single statistical model being able to outperform a human on every metric (no matter how expensive the compute), then we get these ridiculous benchmarks.
- deleted 2mo ago[deleted]
- acdha 2mo agoThe vendors like to toss around terms like “thinking” or “reasoning” to encourage prospective buyers to anthropomorphize models. These challenges are a visceral reminder that none of those marketing claims accurately describe was LLMs do: they’ll happily return things even the worst human illustrator would never hand in and make errors showing that there’s no model of the world behind anything they do. That doesn’t mean there are no ways to use them productively but rather that you should keep in mind that the same model will happily give you code or a decision with the same level of error unless you have carefully setup a QA regimen to prevent that.
- 2mo ago
- throwuxiytayq 2mo agoMy personal human benchmark: "Jump on one leg, while reciting the national anthem of Latvia, translated to Spanish, backwards, while drawing a frog with a brush held by toes of the other leg, on the ceiling". So far they're not doing very good but I'm sure they'll improve over time.
- k1e 2mo agoNo gpt-5.6 sol and no fable?
- thebigship 2mo agoI will add them for next month!
- csomar 2mo agoHere is GLM 5.2 (https://codeinput.com/s/HAO0qTxw2ia https://codeinput.com/s/HAO0qTxw2ia) which is still inferior to Opus. I can't find Qwen 3.8 which now is my daily driver replacing GLM. This SVG test matches my experience when working with the different models. The other models can get the details right but their output is structured in a way that makes little or no sense. I also did a timeline from 4.7 to 5.2: https://codeinput.com/s/7oK2IIA7qRO https://codeinput.com/s/7oK2IIA7qRO The improvements in models looks much less impressive with this test.
- riazrizvi 2mo agoThe secret to great interview questions and challenge tests is keeping them secret. Posting them on HN and getting them onto the front page puts them in jeopardy.
- NemoNobody 2mo ago[flagged]
- AlienRobot 2mo agoAm I the only one who thinks it's incredible that an LLM can do this, and at the same time it's ridiculous to expect it to be capable of doing it, even thought it clearly can do it?
- krisoft 2mo agoCurious that none of the attempts draw the frog from side profile. If i have to draw this i would immediately know that drawing a recognisable frog is the easy part of job. Expressing a particular jaw shape and melding it on the frog is the hard part. And jaw shapes are more prominent from the side. Even absence of thinking this through you would think that some frogs will be from the front, some from the side. Just by chance. And yet all appears to go for the harder pose.
- jostylr 2mo agoWhen I asked ChatGPT, it gave me a side profile, first as a PNG which was good and then I asked again for an SVG and it obliged, doing a version of what it produced but it was bad. SVG: https://jostylr.com/imgs/frog_habsburg_jaw.svg https://jostylr.com/imgs/frog_habsburg_jaw.svg PNG: https://jostylr.com/imgs/frog_habsburg.png https://jostylr.com/imgs/frog_habsburg.png Then I tried Codex with Sol 5.6 High and got a face forward one. SVG: https://jostylr.com/imgs/frog-habsburg.svg https://jostylr.com/imgs/frog-habsburg.svg
- firesteelrain 2mo agoIt looks like it’s got some form of cancer or lymphoma
- Rygian 2mo agoSee https://news.ycombinator.com/item?id=49150393 https://news.ycombinator.com/item?id=49150393
- abound 2mo agoMy personal benchmark is a directory containing a bunch of research papers on the physics of popping popcorn kernels, and a prompt about creating high fidelity, photo realistic 3D models of all the different kinds of popped kernels. Fable (surprisingly? unsurprisingly?) refused to do it last time I tried, and the results from other models are, well, fine, but there's still plenty of headroom on this particular one.
- uncivilized 2mo agoLLMs don’t work particularly well in 3d applications in my experience. Every new model release I’ll ask one for help with my path tracer and results are horrid.
- leptons 2mo agoI had great success with Claude editing and cleaning up STL files that I created by 3D scanning objects using my cellphone. The scans were very messy and the AI made the clean-up really easy.
- jnwatson 2mo agoFable 5 on Max knocks it out of the park: https://imgur.com/a/usR8K7G https://imgur.com/a/usR8K7G Definitely has some creative flourishes. (I made no extra prompting. Just the above text. Single shot.)
- nsbshsuzuh 2mo ago[dead]
- xeromal 2mo agoI'm out of credits or I would've tried fable. I knew it would do well
- zombot 2mo agorex paludis is a nice touch.
- nathanappere 2mo agoIt makes the frog a king which is not in the prompt, so there is a bit of confusion.
- DimitriBouriez 2mo agoI'm afraid you'll need to look up "Habsburg" yourself.
- 2mo ago
- buffer_overlord 2mo agoThey all suck
- slipperybeluga 2mo ago[dead]
- zirkuswurstikus 2mo agohttps://imgur.com/a/2DFUpGZ https://imgur.com/a/2DFUpGZ ChatGPT MMD
- spencerflem 2mo agoSVG?
- ComputerGuru 2mo agoWhat is MMD? That is not an svg.
- deleted 2mo ago[deleted]
- konart 2mo agoglm could have been 5.2. But Kimi and Claude win this (from models listed on the page)
- yanhangyhy 2mo agogemini is worse than DS??
- thebigship 2mo agobtw I have now added this to Hugging Face https://huggingface.co/datasets/jaymollica/frogs https://huggingface.co/datasets/jaymollica/frogs
- vb-8448 2mo agoIt's curious that all images are front facing ... although, for a habsburg jaw, a profile or 3/4 profile picture would be better.
- sn0n 2mo agoTIL that Jay Leno has a Habsburg jaw!
- fennecfoxy 2mo agoIsn't that therefore a benchmark specifically on "it can generate an SVG of this exact thing" and naught else?
- Mirthburrisy 2mo ago[dead]
- cmoski 2mo agoWhy do people benchmark these things on image generation? Surely that is not what most people here are using them for...
- bigglywiggler 2mo agohttps://jumpshare.com/s/rcdD4i6MRY3AijzQG7W9 https://jumpshare.com/s/rcdD4i6MRY3AijzQG7W9 GPT 5.6 absolutely smashed it
- t0mpr1c3 2mo agoGrok 4.5 made Cartman a frog.