Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

DeepSeek Introduces Vision

chat.deepseek.com

Post reply on HN
Print view View original

51–60 of 218 posts

Re: DeepSeek Introduces Vision

#51

Post by throawayonthe »

paulluuk wrote: post #38
jiehong wrote: 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…

Can you explain what the benefits are of actually "talking" with the bot instead of typing and reading? As someone who would rather send a slack message to a coworker rather than actually walking over and talk to them, the idea of having to talk with my laptop is not appealing at all, haha.

it's very confusing. maaaybe if the stt is good and fast enough, speaking may be faster? english speakers can probably hit 150-180 wpm but seems like a hassle

Re: DeepSeek Introduces Vision

#52

Post by 0xpgm »

andrewstuart wrote: post #17

OpenAI and Anthropic need to get this free foreign competition banned.

Is that before or after the OpenAI and Anthropic pay off all the people and companies who's copyrights were violated when they used their works for free to train their models?

At least DeepSeek freely gives back the benefits.

Re: DeepSeek Introduces Vision

#53

Post by seydor »

cocoflunchy wrote: post #43
Razengan wrote: post #41

Earlier quoted context omitted.

If so, would other models like ChatGPT benefit from translating the user's prompt to Chinese/Japanese and thinking in Hanzi/Kanji and then converting the response back to the user's language before displaying it?

I believe that most reasoning models actually think in their own "language" which is not really understandable by humans. The thinking traces that are shown in the UI are actually summaries generated by a smaller model in plain english (or user language). Sometimes this leaks through and you see some chinese/japanese characters in e.g. Claude's reasoning.

> summaries generated

Or hallucinated

Re: DeepSeek Introduces Vision

#54

Post by RIshabh235 »

tw1984 wrote: post #40

what is more interesting to me is why it takes so long for them to support vision. does it implies that Liang believes vision/voice is less important on its way to AGI?

Might be compute bottleneck due to the US chips act and migrating to Huawei ecosystem.

Re: DeepSeek Introduces Vision

#55

Post by arcanemachiner »

paulluuk wrote: post #38
jiehong wrote: 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…

Can you explain what the benefits are of actually "talking" with the bot instead of typing and reading? As someone who would rather send a slack message to a coworker rather than actually walking over and talk to them, the idea of having to talk with my laptop is not appealing at all, haha.

Much faster and better flow. Don't knock it til you've tried it.

Re: DeepSeek Introduces Vision

#56

Post by itake »

paulluuk wrote: post #38
jiehong wrote: 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…

Can you explain what the benefits are of actually "talking" with the bot instead of typing and reading? As someone who would rather send a slack message to a coworker rather than actually walking over and talk to them, the idea of having to talk with my laptop is not appealing at all, haha.

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 (which is way faster for them).

When communicating with AI, its the same thing, except I skip the second step since AI does a good job at understanding my ramblings.

----

It drives me crazy that some cultures only send voice messages to each other. It drives me crazy they can't be respectful of my time and use STT+AI to convert their 90 second monologue to a few written sentences.

Re: DeepSeek Introduces Vision

#57

Post by 5701652400 »

tornikeo wrote: post #23

I really need this as an API. Turns out, to use Claude Agents SDK, you need to have a vision enabled API. If Deepseek API could see, it can fully drive Claude Code and Claude Agents SDK. A project I'm working on relies on a Claude-in-CloudflareWorker setup and I've been relying on Qwen and gemini flash lite, both more expensive than Deepseek. Can't wait to have it available on deepseek.

same here. I am using Gemini 2.5 Flash as VSCode "vision proivder" for Deepseek V4 Pro, but it is expensive and not accurate. can't wait for native Deepseek vision.

Re: DeepSeek Introduces Vision

#59

Post by dryarzeg »

cocoflunchy wrote: post #43
Razengan wrote: post #41

Earlier quoted context omitted.

If so, would other models like ChatGPT benefit from translating the user's prompt to Chinese/Japanese and thinking in Hanzi/Kanji and then converting the response back to the user's language before displaying it?

I believe that most reasoning models actually think in their own "language" which is not really understandable by humans. The thinking traces that are shown in the UI are actually summaries generated by a smaller model in plain english (or user language). Sometimes this leaks through and you see some chinese/japanese characters in e.g. Claude's reasoning.

As far as I'm aware, it's not true for models like DeepSeek or other Chinese open-weight models (at least those that I have seen); their reasoning traces are fully composed from some human language, be it English, Chinese or another one; by the way, most of them can adapt their reasoning based on user language, for example, if user speaks English the reasoning more likely will be in English.

I think that for DeepSeek problem (thinking and replying in Chinese) everything is kinda simpler: in their official chat, they're probably using some kind of system prompt which is (probably) written in Chinese, so that's why model may prefer Chinese in it's output.

Post reply on HN