What has been going on with deepseek recently? I have gotten lots of replies in Chinese and even more frequently, reasoning in Chinese as well. Is it a new silent update?
that is the long con - eventually we all become chinese.
DeepSeek Introduces Vision
171–180 of 218 posts
Re: DeepSeek Introduces Vision
#172Earlier quoted context omitted.
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.
I agree, but since we're talking about imagine understanding with text output, clearly a CNN is unsuitable. My previous comment was overly reductive and CNNs can still be SoTA depending on your performance metrics. I spent the earlier part of my career training CNNs, and they are very pleasant to work with.
Re: DeepSeek Introduces Vision
#173[flagged]
Re: DeepSeek Introduces Vision
#174Earlier quoted context omitted.
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.
Can you say more about that? I haven't kept up.
CNNs excel in vision tasks where you have limited compute, limited memory, limited data, and want something that works super well and quick. People usually don't hook CNNs up to a transformer to get language understanding either, you have to train bespoke CNNs for specific tasks
ViTs excel where you're unbounded in compute + data and also want text understanding or have a conversation about an image
Re: DeepSeek Introduces Vision
#175Earlier quoted context omitted.
It’s crucial to use for driving/walking. One problem has been ChatGpt/Claude apps don’t really do this well. They use weak and/or non-reasoning models for voice interaction and the UX is not optimized for hands free. I wrote an iOS chatbot app mainly for this purpose for myself and family/friends. Allows starting/sending voice prompts with the action button so I never have to look at the screen. Supports any model at…
What are the use cases of an LLM while walking or driving, that also require high reasoning?
With a sufficiently sophisticated harness you can actually do quite a lot by just talking to your AI. I have regularly dictated to build things on my phone while walking to lunch for example.
Re: DeepSeek Introduces Vision
#176what 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?
My understanding is that the core research team is between 100 and 200 people. I don't have a great source for that - a friend of a friend is on the team. By comparison, Open AI's Chief Research Officer said their core research team was about 500 at the end of 2025[1]. With so few people, DeepSeek would have be more selective.
----
Re: DeepSeek Introduces Vision
#177The 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.
H200 is not cheap, and I don't think you can run DeepSeek with full weight without any quantization on even two of them.
Although open weights in theory are good, especially for developers and market competition, it is not as wonderful as you thought.
Re: DeepSeek Introduces Vision
#178Earlier quoted context omitted.
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 thought this way until I tried it, and the main difference is that when I'm managing tons of agents at once or just reviewing some plan / approving next steps, or need to give quick feedback/ask a simple followup, the voice interface makes me much faster and more likely to continue because it's lower friction (and in many cases that's good, though not all) and can be hands-free. Actually, my thoughts on this matter…
[flagged]
Re: DeepSeek Introduces Vision
#179The main thing here is, there are doing it really cheap!
I heavily using Deepseek V4 Pro for a personal project because I cannot afford Opus, and spent ~1B token last two weeks for just $40 which would've costed ~$1300 using Opus 4.8. Realistically Opus cost will be lower assuming more "intelligent" model would've produced less code with fewer conversation but I doubt it'll be cheaper than ~$500. I'm curious to know how they can they offer at such a cheap price. Some say i…
Nice comparison, I've been super impressed by both Deepseek V4 models, particularly Flash given the crazy value for price vs. performance.
It can definitely do "stupid" things and get off track at times but I've found it can easily handle routine web dev tasks like 9/10 times, and using Pro to handle any large refactors/tricky bugs/etc.
The only really negatives are both models (but particularly Flash V4) occasionally have a strange issue parsing instructions, almost like a "language barrier" where a clear instruction gets bizarrely misinterpreted in a subtle but very problematic way. It feels a bit like a SOTA model a year ago where they'd occasionally just miss the plot entirely while still being technically competent but misdirected.
Also not really a negative, but I can't handle watching the reasoning output on Pro anymore haha. It like actually started stressing me out and giving me heartburn watching it get something right on the first or second idea... and then spend like 5 minutes looping through a dozen extremely dumb guesses with "But wait.... Or... Unless..." lol.
Even if I knew it would (usually) end up where it should I just couldn't stand seeing it consider, like, deleting my prod DB and recreating tables manually/ripping out some critical dependency/etc without interupting it to say "Holy shit you had it right the first time, for the love of god just start doing the thing now and move on".
Re: DeepSeek Introduces Vision
#180Earlier quoted context omitted.
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
12GB GPU is a lot