I'm not blaming the model here, but Python is much easier to read and more universal than math notation in most cases (especially for whatever's going on at the bottom of page four). I guess I'll have one translate the PDF.

This version of DeepSeek got it first try. Thinking time was 2 or 3 minutes.

The visual reasoning of this class of Gemini models is incredibly impressive.

Comments URL: https://news.ycombinator.com/item?id=45530971

Points: 2

# Comments: 0

We do plan to support Linux. This was probably a little bit of a blind spot for us - not realizing that anyone running a Linux desktop doesn't even have system voice tool to fall back on.

1. The models weren't ready.

2. The interactions were often strained. Not every edit/change is easy to articulate with your voice.

If 1 had been our only problem, we might have had a hit. In reality, I think optimizing model errors allowed us to ignore some fundamental awkwardness in the experience. We've tried to rectify this with v2 by putting less emphasis on streaming for every interaction and less emphasis on commands, replacing it with context.

Hopefully it can become a tool in the toolbox.

if firebase studio can make a todo app, i'd be surprised. this is the worst "vibe coding" tool i've ever used.

I share the same sentiment. I remember thinking in college how annoying it was that I was reading low-resolution, marked-up, skewed, b&w scans of a book using Adobe Acrobat while CS concentrators were doing everything in VS Code (then brand new).

but we do think voice is actually great with Cursor. It’s also really useful in the terminal for certain things. Checking out or creating branches, for example.

Aqua Voice

  What is the first recorded eclipse in human history? I'm not asking when the first one occurred, but the first written record we have of an eclipse.

  What is the first recorded eclipse in human history i'm not asking 1 like the first occurred but the first ridden record we have of an eclipse

-"1" should be "when"

-"ridden" should be "written"

-No punctuation

Sorry to say that Firebase Studio did an awful job. It did not successfully build even the first view of the app I asked for. It feels like I'm stepping back to release day of GPT-4.

Am I missing a switch to use the good Gemini 2.5 somewhere? I could tell from their response speed that I was not using a thinking model.

You can customize Aqua using custom instructions, similar to ChatGPT custom instructions, and get some Talon functionality from it:

In my own, I have:

1. Breaking the paragraphs with three or four sentences.

2. Don't start a sentence with "and".

3. Use lowercase in Slack and iMessage.

4. Here are some common terminal commands...

We're faster, more accurate, and have a streaming option. Aqua can go from key-up to paste in as little as 450ms. Flow was closer to 1000 in our tests.

Overall, you'll notice we make a few more tweaks to the output than Wisprflow.

For example, Aqua + Cursor is very powerful - we syntax highlight your transcript. The easiest way to see this is to use streaming mode (double press Fn) + deep context + cursor and try asking it to change something.

This also works in other "context rich" environments.

For that benchmarking table, you can use Whisper Large V3 as a stand-in for Mac Whisper and Super Whisper accuracy.

Video: https://withaqua.com/watch

Try it here: https://withaqua.com/sandbox

Finn is uber dyslexic and has been using dictation software since sixth grade. For over a decade, he’s been chasing a dream that never quite worked — using your voice instead of a keyboard.

Our last post (https://news.ycombinator.com/item?id=39828686) about this seemed to resonate with the community - though it turned out that version of Aqua was a better demo than product. But it gave us (and others) a lot of good ideas about what should come next.

Since then, we’ve remade Aqua from scratch for speed and usability. It now lives on your desktop, and it lets you talk into any text field -- Cursor, Gmail, Slack, even your terminal.

It starts up in under 50ms, inserts text in about a second (sometimes as fast as 450ms), and has state-of-the-art accuracy. It does a lot more, but that’s the core. We’d love your feedback — and if you’ve got ideas for what voice should do next, let’s hear them!

Comments URL: https://news.ycombinator.com/item?id=43634005

Points: 140

# Comments: 83

https://github.com/simonw/files-to-prompt