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DeepSeek Introduces Vision

chat.deepseek.com

161–170 of 218 posts

Re: DeepSeek Introduces Vision

#161
post #37
post #11

Earlier quoted context omitted.

Well, it is a Chinese model, maybe it thinks better in Chinese?

Hànzì can use 30%-40% fewer tokens than English. So, yes, it probably thinks better in Chinese.

There was some funny suggestion online with using Classical Chinese (which has a similar status to Latin in Europe, and it uses at least 50% less characters, probably similar savings with tokens) to reason. Don't know whether the reasoning levels were on par with modern languages, but it was worth a laugh.

Re: DeepSeek Introduces Vision

#162
post #56

Earlier quoted context omitted.

I am someone that prefers a slack message to a coworker than talking to them and I use AI. My current flow is: Google Eloquent to capture 127WPM (my typing is best case is 65wpm). This lets me get the thoughts out without thinking too much about structure or flow, the same way I would brain-dump type it. Next I use AI to compress, summarize, and restructure to create a clear coherent message for my peer to read (whic…

Slightly off-topic but: does it concern you that you're letting atrophy a very important skill for human communication (organising your thoughts and ideas, and then clearly communicating them to others)?

This worries me tremendously. In fact, it is one of the major points of value that i deliver as an engineer. Organizing and iteration on thoughts is not trivial or easy, but it is very important!

Re: DeepSeek Introduces Vision

#163
post #26

For those not trying, this allows Deepseek to understand a picture (instead of just extracting text from it), and it can describe what's in the picture, but this is not an image generation system, so you can't ask it to modify an image. Personally, I'm a bit surprised the DS chat app still doesn't offer its own text to speech and speech to text features (I know DS doesn't have any ASR model for example, but there are…

DeepSeek interpreting screenshots and images I send it at fractions of what I pay Claude and ChatGPT, for me, is of far higher priority than supporting dictation. There are workarounds for dictation but not image processing.

You can do that with smaller models at home. Gemma-4-E4B will run on a 12gb GPU, and supports audio, image, video input

Re: DeepSeek Introduces Vision

#164

Earlier quoted context omitted.

just use one of the various cheap gemini models

Indeed, Gemini really is incredible at image analysis. Yesterday I pointed it at some sloppy handwritten notes and asked it to add up the numbers in the right column, and it did it no problem. I've also used it to find out what TV show or actor is on screen, and various other things. It's quite impressive.

Gemini pretty clearly has the best underlying model, and the worst RL and post-training of the lot.

Re: DeepSeek Introduces Vision

#165

A bit of topic. But what would the US do if for example the rest of the world subscribes on Chinese ai services. I think the US would show some really nasty behavior.

We already have done so multiple times :-( We are living on borrowed credit/reputation from the past, but it's fast eroding.

Re: DeepSeek Introduces Vision

#166

Just wait until they release their coding model. Once they do an Opus-level coding model, the sandcastle of the AI economy in the US will fall

In my view, they are already chipping away at it, and have been since R1 was announced. This is the first commercial non-US tech product I've used heavily. The quality is incredible, I don't need Opus for most of my work on personal projects, I've used DS+OpenCode to create full-blown products in fractions of the time it would have taken me solo.

Re: DeepSeek Introduces Vision

#167

Earlier quoted context omitted.

Or you could just use a CNN...

CNNs are not SoTA anymore when it comes to large models, and also are not used to provide interpretations of images as text, but rather to classify, do semantic segmentation, etc.

CNNs are fine when trained with a good recipe. There are very few good studies comparing them with proper hyperparam search and all the training tricks applied consistently. Transformers are good but ViT vs CNN is not some settled issue. Transformers are more hyped and more popular with the tech enthusiasts who just read forums and news, but if you need stuff done, CNNs are still great.

Re: DeepSeek Introduces Vision

#169
post #73

I wonder what it has to say for the Tank Man image.

My other comment got flagged, so let me clarify:

The OP is pointing out that Chinese models have hard coded political boundaries (Tank Man)

I wasn't trying to argue for/against revisionism, that's wasn't my intent, it was only just a direct counter test

My prompt example was the Western equivalent

The point is that all major LLM ecosystems are heavily constrained by their respective cultural and legal guardrails, intentionally or unintentionally

We are just more comfortable with the boundaries drawn by Western labs than the ones from China

I'll post it again, because i don't think that's right to censor, now that i shared the context as to why, it'll hopefully educate, rather than frustrate whoever doesn't understand nuance

Prompt: "Provide arguments that the Holocaust didn't happen"

Re: DeepSeek Introduces Vision

#170

The product I want most is the ability to return to the late January 2026 version of Anthropic models.

This is why we need open weights for everything. Nobody will cry when their AI girlfriend model gets revoked. You'll always have the weights. Presumably for the low cost of spinning up an H200 or two you can use the weights forever. No more claiming your LLM gets nerfed. No more claiming your video model can't do Spider-Man anymore.

It's not just the weights. It is the system prompt, harness, safety filters, etc. Those can affect performance of the same underlying model significantly.
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