Going to have to disagree on the backup test. Opus flamingo is actually on the pedals and seat with functional spokes and beak. In terms of adherence to physical reality Qwen is completely off. To me it's a little puzzling that someone would prefer the Qwen output.
I'd say the example actually does (vaguely) suggest that Qwen might be overfitting to the Pelican.
wongarsu 49 minutes ago [-]
Qwen's flamingo is artistically far more interesting. It's a one-eyed flamingo with sunglasses and a bow tie who smokes pot. Meanwhile Opus just made a boring, somewhat dorky flamingo. Even the ground and sky are more interesting in Qwen's version
But in terms of making something physically plausible, Opus certainly got a lot closer
kmacdough 35 minutes ago [-]
Given adherence is a more significant practical barrier, it's probably the better signal. That is, if we decide too look for signal here.
throwuxiytayq 2 minutes ago [-]
I literally cannot believe that people are wasting their time doing this either as a benchmark or for fun. After every single language model release, no less.
jbellis 1 hours ago [-]
For coding, qwen 3.6 35b a3b solved 11/98 of the Power Ranking tasks (best-of-two), compared to 10/98 for the same size qwen 3.5. So it's at best very slightly improved and not at all in the class of qwen 3.5 27b dense (26 solved) let alone opus (95/98 solved, for 4.6).
__natty__ 32 minutes ago [-]
You compare tiny modal for local inference vs propertiary, expensive frontier model. It would be more fair to compare against similar priced model or tiny frontier models like haiku, flash or gpt nano.
javawizard 21 minutes ago [-]
Not when the article they're commenting on was doing literally exactly the same thing.
ericd 31 minutes ago [-]
Eh it’s important perspective, lest someone start thinking they can drop $5k on a laptop and be free of Anthropic/OpenAI. Expensive lesson.
31 minutes ago [-]
mentalgear 1 hours ago [-]
I understand the 'fun factor' but at this point I really wonder what this pelican still proofs ? I mean, providers certainly could have adapted for it if they wanted, and if you want to test how well a model adapts to potential out of distribution contexts, it might be more worthwhile to mix different animals with different activity types (a whale on a skateboard) than always the same.
simonw 1 hours ago [-]
That's why I did the flamingo on a unicycle.
For a delightful moment this morning I thought I might have finally caught a model provider cheating by training for the pelican, but the flamingo convinced me that wasn't the case.
furyofantares 35 minutes ago [-]
It is completely wild to me that you prefer Qwen's flamingo. I think it's really bad and Opus' is pretty good.
simonw 33 minutes ago [-]
The Opus one doesn't even have a bowtie.
furyofantares 1 minutes ago [-]
The Opus one looks like a flamingo, and looks like it's riding the unicycle. Sitting on the seat. Feet on the pedals.
The Qwen one looks like a 3-tailed, broken-winged, beakless (I guess? is that offset feather a beak?) monstrosity not sitting on the seat, with its one foot off the pedal (the other chopped off at the knee) of a malmanufactured wheel that has bonus spokes that are longer than the wheel.
But yeah, it does have a bowtie and sunglasses that you didn't ask for! Plus it says "<3 Flamingo on a Unicycle <3", which perhaps resolves all ambiguity.
akavel 30 minutes ago [-]
r/LocalLlama is now doing a horse in a racing car:
To me the opus flamingo is waaaay better than the qwen one. qwen has the better pelican, though.
dude250711 51 minutes ago [-]
Is a flamingo on a unicycle not merely a special case of a pelican on a bicycle?
VHRanger 49 minutes ago [-]
That's not surprising; Opus & Sonnet have been regressing on many non-coding tasks since about the 4.1 release in our testing
aliljet 49 minutes ago [-]
I'm really curious about what competes with Claude Code to drive a local LLM like Qwen 3.6?
smashed 42 minutes ago [-]
OpenCode?
comandillos 2 hours ago [-]
I've been using Qwen3.5-35B-A3B for a bit via open code and oMLX on M5 Max with 128Gb of RAM and I have to say it's impressively good for a model of that size. I've seen a huge jump in the quality of the tool calls and how well it handles the agentic workflow.
iib 1 hours ago [-]
This is about the newly release Qwen3.6. Just wanted to make sure you got that correctly.
jedisct1 12 minutes ago [-]
I'm currently testing Qwen3.6-35B-A3B with https://swival.dev for security reviews.
It's pretty good at finding bugs, but not so good at writing patches to fix them.
lofaszvanitt 33 minutes ago [-]
That Qwen flamingo on the unicycle is actually quite good. A work of art.
19qUq 1 hours ago [-]
How about switching to MechaStalin on a tricycle? It gets kind of boring.
mvanbaak 39 minutes ago [-]
boring ... the ways all the models fail at a simple task never gets boring to me
Rendered at 20:41:51 GMT+0000 (Coordinated Universal Time) with Vercel.
I'd say the example actually does (vaguely) suggest that Qwen might be overfitting to the Pelican.
But in terms of making something physically plausible, Opus certainly got a lot closer
For a delightful moment this morning I thought I might have finally caught a model provider cheating by training for the pelican, but the flamingo convinced me that wasn't the case.
The Qwen one looks like a 3-tailed, broken-winged, beakless (I guess? is that offset feather a beak?) monstrosity not sitting on the seat, with its one foot off the pedal (the other chopped off at the knee) of a malmanufactured wheel that has bonus spokes that are longer than the wheel.
But yeah, it does have a bowtie and sunglasses that you didn't ask for! Plus it says "<3 Flamingo on a Unicycle <3", which perhaps resolves all ambiguity.
https://redd.it/1slz38i
It's pretty good at finding bugs, but not so good at writing patches to fix them.