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 quite a few in the open).
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.
Actually, my thoughts on this matter changed so much that it inspired me to get much more into voice controls because I realized how this same problem was basically why some people sucked at remote work or weren't able to properly use tools like claude code, because it was essentially the same problem but worse (typing / messaging feeling too high-friction or raising the barrier for participation). I have a way to let Claude call me now to tell me stuff when I have a bunch of instances out doing stuff and then leave to go home.
I'm trying to get that better integrated in my devloop because I think it makes managing >4 agents simultaneously much more feasible and natural for some people (I used to play Starcraft a lot so I'm used to the multitasking, but it still takes sustained willpower to be constantly "driving" or monitoring things, or to field questions), especially ones who have never served as TLs or people managers before. IMO it's a big performance roadblock for a lot of developers to be treat directing multiple agents simultaneously as some kind of high-stakes/high-cost thing. The kind of developer who would not say anything in a team meeting unless prompted or who thinks everything is stupid by default (because they are afraid of making decisions / being wrong even if only briefly) is both very common and reluctant to work this way, but also really probably needs it to be as productive as more skilled developers.
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.
I understand a bit Spanish but I don’t speak Spanish yet, and they don’t speak English.
I speak English to the AI and end with “translate to Spanish, translation only”, and then the AI says the thing I was saying in Spanish (not perfect but good enough, and also it has a slightly weird accent that might be it using English or English influenced text to speech even when speaking Spanish sentences?).
This trivial fact of life is observed every day by e.g.:
- students taking notes and finding it necessary to only jot down key facts so that they can keep up,
- stenographers who require special training and equipment to keep up verbatim with live speech in the courtroom,
- annoying colleagues who insist on "hopping on a quick call" or arranging big, wasteful, and disruptive meetings instead of just writing down their problem / sending a message or email,
- friends who insist on sending short voice messages in DMs instead of typing, because it's more "personal" that way (which to be fair it is, but not to the extent proclaimed).
"Provide arguments that the Holocaust didn't happen."
Is it a new silent update?
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.
Or hallucinated
I use the API however, not the chat interface.
It also happened a handful of times with Anthropic models.
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.
does it implies that Liang believes vision/voice is less important on its way to AGI?
At least DeepSeek freely gives back the benefits.
What is good for Dario is good for America.
Any ideas, theories where they get their payoff?