It fails the simple clock test for me which Qwen3.8 27B got (nearly) right. given an image of a clock https://files.catbox.moe/kgwa5e.png I asked it "what time does the clock show?" (both on reasoning: high) DS answered: The clock shows *5:10* (and 45 seconds). Here is the breakdown: * *Hour hand (red, shortest):* Pointing at the *5*. * *Minute hand (green, longest):* Pointing at the *2*, which represents 10 minutes.…
Well it succeeded on first try for me: https://i.imgur.com/gljOYr9.png [Image 1] what time does the clock show? + Thought: 368ms The clock shows 8:10. - Blue hour hand: just past 8 - Green minute hand: pointing at 2 (10 minutes) - Red second hand: pointing at 5 (25 seconds) ▣ Plan · DeepSeek V4 Flash Vision Exp · 4.4s edit: I now ran the test 10 times total, fresh session every time, and DS4 got it right 9 out of 10…
DeepSeek-v4-flash-vision-exp
151–160 of 169 posts
Re: DeepSeek-v4-flash-vision-exp
#152It fails the simple clock test for me which Qwen3.8 27B got (nearly) right. given an image of a clock https://files.catbox.moe/kgwa5e.png I asked it "what time does the clock show?" (both on reasoning: high) DS answered: The clock shows *5:10* (and 45 seconds). Here is the breakdown: * *Hour hand (red, shortest):* Pointing at the *5*. * *Minute hand (green, longest):* Pointing at the *2*, which represents 10 minutes.…
Well it succeeded on first try for me: https://i.imgur.com/gljOYr9.png [Image 1] what time does the clock show? + Thought: 368ms The clock shows 8:10. - Blue hour hand: just past 8 - Green minute hand: pointing at 2 (10 minutes) - Red second hand: pointing at 5 (25 seconds) ▣ Plan · DeepSeek V4 Flash Vision Exp · 4.4s edit: I now ran the test 10 times total, fresh session every time, and DS4 got it right 9 out of 10…
Re: DeepSeek-v4-flash-vision-exp
#153It fails the simple clock test for me which Qwen3.8 27B got (nearly) right. given an image of a clock https://files.catbox.moe/kgwa5e.png I asked it "what time does the clock show?" (both on reasoning: high) DS answered: The clock shows *5:10* (and 45 seconds). Here is the breakdown: * *Hour hand (red, shortest):* Pointing at the *5*. * *Minute hand (green, longest):* Pointing at the *2*, which represents 10 minutes.…
Well it succeeded on first try for me: https://i.imgur.com/gljOYr9.png [Image 1] what time does the clock show? + Thought: 368ms The clock shows 8:10. - Blue hour hand: just past 8 - Green minute hand: pointing at 2 (10 minutes) - Red second hand: pointing at 5 (25 seconds) ▣ Plan · DeepSeek V4 Flash Vision Exp · 4.4s edit: I now ran the test 10 times total, fresh session every time, and DS4 got it right 9 out of 10…
Re: DeepSeek-v4-flash-vision-exp
#154Earlier quoted context omitted.
I’ll keep that in mind next time I need to tell what time it is by asking an llm to read an analog clock. Snark aside, I’m not sure that these gotcha tests are any more useful than asking politicians gotcha questions. Sure, the model can’t tell me what time it is, but it can code the Wang algorithm for noisy audio matching in one shot. Maybe this is just me being an optimist, but this is my hiring philosophy and I gu…
It's because the messaging for what the point of these things is supposed to be is all over the place. Ask 10 different people and you'll get 10 different answers: - A superintelligence that will usher in an age of human enlightenment - A superintelligence that will usher in an age of human enslavement - A really cool way to rake in trillion of rich VC/investor money by promising you're building a superintelligence t…
Re: DeepSeek-v4-flash-vision-exp
#155Earlier quoted context omitted.
LLMs read images by splitting them up into e.g. 16x16 patches, which are then converted to embedding vectors and fed to the LLM, so from a technical point of view, feeding a big image as many 20x20 patches all at once is not too different from cropping subimages from the image, splitting those subimages into patches and feeding them to the LLM. Of course, the LLM has to be trained to understand that those images belo…
You say "it can be trained" but they fail at counting in my use cases, let alone maintaining symbolic relationships. Can you point me at one that can understand a detailed block diagram? Frontier is fine, soliciting recommendations
I tried to parse hand-drawn ER diagrams in the past and did not have much success with any model, frontier or otherwise. If you have annotated data, I'd recommend finetuning a recent (dense) VLM, but don't expect 100% accuracy. https://unsloth.ai/docs/basics/vision-fine-tuning
Re: DeepSeek-v4-flash-vision-exp
#156It fails the simple clock test for me which Qwen3.8 27B got (nearly) right. given an image of a clock https://files.catbox.moe/kgwa5e.png I asked it "what time does the clock show?" (both on reasoning: high) DS answered: The clock shows *5:10* (and 45 seconds). Here is the breakdown: * *Hour hand (red, shortest):* Pointing at the *5*. * *Minute hand (green, longest):* Pointing at the *2*, which represents 10 minutes.…
I’ll keep that in mind next time I need to tell what time it is by asking an llm to read an analog clock. Snark aside, I’m not sure that these gotcha tests are any more useful than asking politicians gotcha questions. Sure, the model can’t tell me what time it is, but it can code the Wang algorithm for noisy audio matching in one shot. Maybe this is just me being an optimist, but this is my hiring philosophy and I gu…
Re: DeepSeek-v4-flash-vision-exp
#157For what do you guys use vision in those models? surveillance is the obvious use case... but are there some "nicer" ways to use it?
Re: DeepSeek-v4-flash-vision-exp
#158Re: DeepSeek-v4-flash-vision-exp
#159Earlier quoted context omitted.
The order is: LLM issues tool call to read high res image -> harness sends high res image to server -> server downsizes it to 800x800 (blurry) -> LLM issues bash command (e.g. `convert`) to crop a small subimage (e.g. 600x600) from the high res image -> LLM issues tool call to read subimage -> harness sends subimage to server -> server does not resize the subimage because it is small already, so it is not blurry when…
Then you have a separate issue where the LLM can't piece together 9 subimages well.
Re: DeepSeek-v4-flash-vision-exp
#160Earlier quoted context omitted.
I’ll keep that in mind next time I need to tell what time it is by asking an llm to read an analog clock. Snark aside, I’m not sure that these gotcha tests are any more useful than asking politicians gotcha questions. Sure, the model can’t tell me what time it is, but it can code the Wang algorithm for noisy audio matching in one shot. Maybe this is just me being an optimist, but this is my hiring philosophy and I gu…
It is like asking a politician how much a coffee costs, to show how disconnected they are from common people. Super intelligence not being able to read a simple analog clock does the same. > Sure, the model can’t tell me what time it is, but it can code the Wang algorithm for noisy audio matching in one shot This is about a _vision_ model.
The problem with judging a politician for not knowing what a cup of coffee costs is that it doesn’t tell you anything about his capabilities or why he doesn’t know. Maybe the politician is incredibly competent, but doesn’t drink coffee. Maybe he gets up at 5 to start working and makes a pot of coffee himself before the coffee shops open so knows what a bag of coffee costs but not a cup.
The issue with a gotcha question is that it is a shortcut to confirmation bias. There is no single correct answer to what a cup of coffee costs, and not knowing the answer doesn’t tell you as much as people want it to. I can go to Starbucks and get a cup of “coffee” that costs $10, or I can go to the corner store and get one for $.99. I can make one at home for $.50 or less. There’s no right answer.
Scroll through the comments and there is someone that tried the same clock test on this model and it answered correctly 9/10 times. That’s why catching someone or something in a gotcha once is kinda bad signal.
Can this model tell time? Yes, and also no. Does a cup of coffee cost .99? Yes and also no.