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DeepSeek Introduces Vision

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Re: DeepSeek Introduces Vision

#181

Post by Ldorigo »

WhitneyLand wrote: post #106
paulluuk wrote: post #38

Earlier 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.

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…

I very begrudgingly started paying for grok for this exact reason. They nailed the voice UI and it works incredibly well with android auto unlike Claude&Gemini (which don't work with android auto at all) and chatgpt (which works well but has hardcored system instructions that make it's voice mode feel like a dopamine deprived Gen Z)

Re: DeepSeek Introduces Vision

#182

Post by johnvanommen »

freedomben wrote: post #152
anthonypasq wrote: post #120

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.

> 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.

I do not know if it works as well as Gemini, but Salesforce (of all places) has a model that does something similar.

What's "neat" about the Salesforce one is that you can run it locally and just iterate it over as many images as you feel like.

For instance, it should be possible to take a movie, pull a hundred images out of the h265 file, have the salesforce model evaluate what is happening at that moment in the movie, and then use that to create an index.

That's just ONE use for it, and I can think of dozens.

On a 5090 it was able to generate text descriptions of a folder full of approximately 500 images in under a minute. (Anecdotal evidence, admittedly.)

https://huggingface.co/Salesforce/blip-image-captioning-base

I just looked up some articles on it here, and it looks like it's fairly old, so YMMV.

Re: DeepSeek Introduces Vision

#183

Post by johnvanommen »

a34729t wrote: post #162
garblegarble wrote: post #91

Earlier quoted context omitted.

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!

> Organizing and iteration on thoughts is not trivial or easy, but it is very important!

Two of the silliest things that helped me in my career:

* I worked at fast food restaurants in high school. This instills a near pavlovian response to client requests; if at the age of sixteen you can deal with someone who's mad because there isn't enough cheese on their pizza, it goes a long way in the real world.

* My first I.T. job was in an office where the vast majority of the people who worked there had never used a computer at all. Just to stay employed, I had to resist the urge to explain things in a complex way. When I'm trying to sell an idea to a group of people, I do my best NOT to ignore the people in the room who may not understand that idea well. I think that engineers often have a bad habit of getting into engineering arguments with management in the room, where they take things to a level of complexity where management may not understand what's being talked about. Bringing things back down a few levels goes a long way towards getting management to sign off IMHO. Unfortunately, it's a double edged sword, and it can fall flat when management is especially well informed. Classic information asymmetry.

Re: DeepSeek Introduces Vision

#184

Post by famouswaffles »

bonoboTP wrote: post #167
bigmadshoe wrote: post #118

Earlier 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.

>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.

Vits are straight up more popular for ML research now, it's not just 'tech enthusiasts'.

Re: DeepSeek Introduces Vision

#185

Post by johnvanommen »

itake wrote: post #123
jnovek wrote: post #85

Earlier quoted context omitted.

I would find this behavior extremely aggravating from a co-worker. If you can’t be bothered to edit down your ramblings by hand, just don’t send me anything at all.

Maybe you missed my point? I can either edit down my rambling by hand (costs about 10-30min depending on the length) or I can ask chatGPT for assistance, where I manually edit chatgpt's edits for factual correctness and tone. --- STT Like, besides the lease risk, I think 30 to 50% of the business is going to end the moment the owner stops showing up and the motorbikes are gone. Either, I think it was Roger mentioned…

I vote for number 2.

Re: DeepSeek Introduces Vision

#186

Post by tsss »

echelon wrote: post #131
exabrial wrote: post #128

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.

These models are far too expensive to run yourself and independent LLM providers of open models do even more secret nerfing than the original creators because they have no reputation to lose.

Re: DeepSeek Introduces Vision

#187

Post by stavros »

WhereIsTheTruth wrote: post #169
k_138z wrote: 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, int…

A direct counter test would be the model being asked to talk about facts and refusing, not refusing to argue against facts.

Re: DeepSeek Introduces Vision

#188

Post by jauntywundrkind »

carterschonwald wrote: post #146
anthonypasq wrote: post #120

Earlier quoted context omitted.

just use one of the various cheap gemini models

gemini models are also fantastic at understanding non spoken sounds

I don't know what runs on my phone's Google Translate app, but whatever it is, they are doing an insult to their models by it being so bad. It's amazing at picking up sound if spoken directly into the unit, but if trying to hold any kind of conversation or listen to anything even a little bit far away, it falls completely apart, is good for basically nothing.

This is obviously different than the models most people are discussing here, which are much bigger. But it's damaging the Gemini brand in general, by association, if nothing else.

Re: DeepSeek Introduces Vision

#189

Post by ivell »

jnovek wrote: post #85
itake wrote: 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…

I would find this behavior extremely aggravating from a co-worker. If you can’t be bothered to edit down your ramblings by hand, just don’t send me anything at all.

Why do we have to insist that messages must be made with lots of effort even if it is hard to understand for the reader? As long as what needs to be communicated is done respectfully, I don't see a value for it to be done manually, especially if the handwritten one is hard to read and thus wasting readers' time.

We don't hold the same standards for spellings. Rather we expect messages to be spell checked before being sent.

Re: DeepSeek Introduces Vision

#190

Post by MattSayar »

freedomben wrote: post #152
anthonypasq wrote: post #120

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.

I got a shirt I liked from a conference, and I didn't know who made it. It was soft, fit comfortably... I took a picture of some random numbers on a tag and Gemini parsed out the numbers and found the manufacturer. Pretty neat
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