arach
Joined 18 years ago
Joined 18 years ago
if you have any special tricks, probably don't worry too much about getting copied if you really want to win in the "devs who care about performance" market
[did i miss the gh repo?]
ACP helps with agent interoperability and helps a lot of IDEs and ADEs integrate all the major harnesses seamlessly
zed https://github.com/zed-industries/zed orca https://github.com/stablyai/orca/tree/main/src/main
I haven't looked at the cli implementation but you can get very far with integrating a harness while not invoking the model directly via API
btw, if you have a chance to work with him you should! highly recommend
I don't do everything. Also fully expect Siri and AppIntents will continue to improve
having said that, what would you like to control?
I initially built it to help me read AI papers before discovering AlphaXiv but then I just kept building it for the love of the game
Might have some rough edges but one feature I'm excited about is a more personalized notebook LM style audio generation capability for any readable material
(Another reason to build this was to kick the tires on a framework I've been building to power my own apps - https://hudsonkit.com - helps me ship iOS, macOS and web apps with shared primitives)
You need rapid good enough rapid turn response + rapid good enough TTS in order to make it economically for someone who's not blending it into a more compute heavy pricing model
Have you looked into it? Are you familiar with Pipecat https://github.com/pipecat-ai/pipecat - they put out interesting demos frequently
I wonder if one way to monetize certified "skill" will be to syndicate / license your provably well software engineered / tasteful AI engineered code back to the Labs for a fee
i think it's incredible because however saturated I feel this space has become, highly likely the vast majority of the world has no idea how good models have become, let alone local models
I've added local voice support for all apps/webapps I've built this year
Local TTS is on the cusp of a breakout too, basically a year behind ASR imo in terms of adoption, understanding, size and quality
Naturally, I also added the ability to highlight, leave notes and ... ask questions (via API)
Even with incredible models, it's a decent amount of work to get this to work nicely