... local dictation, ask me anything Comment from Willis Liao(@willis_liao1): @rabnoor_s  You're right about the split, and it's the framing I've been missing. On cleanup: it's already off by default in PhantomVoice, for close to your reason. It's a small local model, and a small model that meets a term it doesn't know will replace it with a fluent wrong one. The sentence still reads correctly, which is what makes ... ... project word list I like even more, and a file in the repo is the right shape for it. You write the terms, it's version controlled, and anyone else on the project gets the same list.

... Yesterday's board had SKI, Yap and PhantomVoice all launching, with Wispr Flow promoted alongside them. Four takes on getting speech into a machine, one day. They are mostly racing on the same three things: accuracy, latency, and whether it runs locally. All real, all table stakes within a year. Here is what I think the category is missing. Dictating prose and dictating to an AI are different problems, and almost everything is built for the first one. When ...

... will still be able to point at it when somebody asks why local only matters. Comment from Lakshya Jaglan(@lakshya_jaglan): I care deeply about this, especially when it comes to AI tools. The line for me is transparency versus necessity. If an app needs a backend database to function (like a multiplayer game or a collaborative workspace), I expect data to go to the cloud. But what drives me crazy are the thousands of "AI Prompt Generators" or "Text ... ... Comment from Dale Mooney(@dalemooney): Rabnoor's distinction is the right one. I'd add the mechanism that makes it decisive inside a company, rather than just principled. If you're the person who signs a tool off, cloud versus