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DeepSeek Introduces Vision

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Re: DeepSeek Introduces Vision

#151

Post by Melatonic »

jorvi wrote: post #137
WhitneyLand wrote: post #106

Earlier 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…

I mean, even applied voice 'models' suck for this. For some godawful reason, Apple Maps voice directions assume that you also understand what it omits. So if it says "turn right in 500 meters" "250 meters" and then you stop at an intersection after 150 meters and it says "turn right", it expects you to understand that it doesn't mean the immediate right at the intersection, but the next one [because you still haven't…

This is one thing Waze I think seems to do better than the competition. And they have a ton of different voices.

They also clearly show which voices can do street names (which is hugely helpful). For some reason the Australian and British accented voices feel more polite than the Americans

Re: DeepSeek Introduces Vision

#152

Post by freedomben »

anthonypasq wrote: post #120
testbjjl wrote: post #96

Earlier 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.

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.

Re: DeepSeek Introduces Vision

#153

Post by phi0 »

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.

This is inaccurate. The displayed reasoning traces are summaries, but the model thinks in nominally regular human languages. AI labs are very light on details (as they consider them as their "edge"), but both GPT5.5 and Claude Mythos/Fable system cards discuss chain-of-thought monitorability quite a bit.

They occasionally show snippets of CoT in papers they write, e.g. for o3/o4/GPT5 models [1] or Claude 3.5 Haiku [2].

[1]: https://openai.com/index/evaluating-chain-of-thought-monitor... [2]: https://transformer-circuits.pub/2025/attribution-graphs/bio...

Re: DeepSeek Introduces Vision

#154

Post by [deleted] »

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…

[deleted]

Re: DeepSeek Introduces Vision

#156

Post by tailscaler2026 »

itake wrote: post #56
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.

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…

Just my two cents: I have coworkers who use AI to drive basically all their communication in Slack and I absolutely hate them with a deep passion. I actively avoid meetings, conversations, and exclude them from everything possible.

If you use AI to drive your communication with other humans, you suck.

Re: DeepSeek Introduces Vision

#157

Post by dghlsakjg »

rob wrote: post #144
dghlsakjg wrote: post #142

Earlier quoted context omitted.

Parakeet is the name of a speech to text model from Nvidia. Roughly comparable to whisper from openAI. It's the model doing the work inside the wrapper that an app provides.

Yep, here's the v2 and v3: https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2 https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3 It's almost instant on my new M5 Max w/ 36GB of memory, but I used both with Handy on my previous 2019 Intel Mac w/ 16GB memory and was completely surprised at just how fast it was for being on-device! Not instant, but only a couple seconds.

I’m using it on an M3 max 32gb, and I’m getting 60-70x realtime for recordings and crazy good accuracy. I can get an hour of audio transcribed in a minute. Similar results from Whisper, but half the speed.

Transcription this good used to cost A LOT, now it rounds down to free.

Re: DeepSeek Introduces Vision

#158

Post by lucisferre »

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.

Darling, we'll always have W_q, W_k, W_v, and W_o.

Re: DeepSeek Introduces Vision

#159

Post by WhitneyLand »

gbalduzzi wrote: post #133
WhitneyLand wrote: post #106

Earlier 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?

Most of the problem is that for voice chat, you usually get no reasoning at all and no tool use at all to research or ground assumptions.

For example for voice ChatGPT still uses a quantized gpt40 non-reasoning model that hallucinates pretty frequently. It also doesn’t do much automatic search for updated information and fact checking.

I usually don’t find I need high, usually DeepSeek v4 with medium reasoning is sufficient.

However if it’s important chat like brainstorming on complex topics I sometimes bump it up.

OpenAI has a new voice api that supports adjustable reasoning, but ChatGpt is not using it currently.

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