That said, FreeFlow is open source for exactly this reason, everyone will have their own preference. If you would like to turn this behavior into a configurable preference, we'd happily accept a pull request.
I think realtime transcription hurts the UX of polishing what's said worse. In FreeFlow the output of the transcription is fed to an LLM to polish in context of where the text is being injected. This way we can go beyond naive transcription.
FreeFlow already feels extremely fast and text being typed as I dictate is distracting especially if the polishing phase edits it.
> a thread-safe queue with pairwise ordering guarantees so that all processing on a particular actor's state is effectively atomic
> The big win for the actor model is (just) that it linearizes all operations on a particular substate of the program while allowing other actors' states to be operated on concurrently.
Came here to say exactly those two things. Your comment is as clear as it could be.
If you're SF, I would highly recommend the local evening meetups. They are full of founders at a variety of early stages of their journey. Last night at a meetup at Github I met the following types: Series B+, Seed+, pre-seed, pre-product, just out of college started a company, not quit job yet etc.
If you're in some other city, try to find our where the local founders hangout - this might be meetups, specific universities, specific incubators etc.
> .. The result will be that publishers will lose distribution sovereignty, and readers will lose one of the last tools that puts them, not algorithms, in control.
If we want an internet where publishers retain autonomy and readers retain agency, we need to treat RSS not as legacy plumbing but as strategic infrastructure.
I love the minimalism and speed of Zed.
The Zed Agent is exceptional!
It doesn't easily allow for parallel work like Claude Code in a Terminal but for a single session it is just as good plus it makes it really easy to switch between models. I also find it super useful when I'm working on our large monorepo, the minimal and fast ui makes it super easy to pull in the right context of folders, files, snippets etc to help the Agent.
host: Apple M3 Max, 128 GB model: Laguna-S-2.1, 118B-A8B MoE, Q4_K_M (75 GB), DFlash speculative decoding server: http://127.0.0.1:8000, llama.cpp, ctx 64K, 8-bit KV cache