Apple bets cheaper AI will woo small developers
31–40 of 42 posts
Re: Apple bets cheaper AI will woo small developers
#32the small developers eager to pay the Apple tax! I wonder what the theoretical size of this set is.
Re: Apple bets cheaper AI will woo small developers
#33Re: Apple bets cheaper AI will woo small developers
#34Re: Apple bets cheaper AI will woo small developers
#35This means it would be cheap for the end user and they could sell their "privacy" by saying that the user's communication never leaves their devices
Re: Apple bets cheaper AI will woo small developers
#36Re: Apple bets cheaper AI will woo small developers
#37I think Apple should do niche AI as in all these companies run LLM on their infrastructure and Apple should focus on running light LLMs on their devices which are capable of doing so. This means it would be cheap for the end user and they could sell their "privacy" by saying that the user's communication never leaves their devices
Re: Apple bets cheaper AI will woo small developers
#38Can't wait to try it. Made a small log app for my IBS which allows free text input and uses LLM to create JSON. If that could be done on device with a foundation model, it would be awesome. (and also completely bomb my income model)
Further, you could allow for voice input by running whisper STT locally, then doing a small context-aware correction pass with Gemma or Qwen to correct words it got wrong.
Re: Apple bets cheaper AI will woo small developers
#39Earlier quoted context omitted.
the 15% rate only applies to the first $1 million in proceeds, it does not work like a permanent tax bracket
Yes, small developers.
The emergence of this SBP was due to pressure from looming anti-trust measures anyway, which Apple would have never willingly conceded without it.
Re: Apple bets cheaper AI will woo small developers
#40Can't wait to try it. Made a small log app for my IBS which allows free text input and uses LLM to create JSON. If that could be done on device with a foundation model, it would be awesome. (and also completely bomb my income model)
I think that can pretty realistically be done with Gemma or Qwen, although maybe with some delay. They run great on android in the Edge Gallery app. Further, you could allow for voice input by running whisper STT locally, then doing a small context-aware correction pass with Gemma or Qwen to correct words it got wrong.