Tag: Reddit

submitted by /u/Joseph20102011 [link] [comments]

Apple just unveiled their new AI strategy: They have their own LLM that works off of an index of all your personal files, photos, contacts, and messages, and can respond in context to this. The best part? It can actually do complex tasks in apps using natural language! First-party Apple apps already support this, and developers have an API to allow tasks/actions to be invoked through Apple’s LLM. It runs on-device or on Apple’s privacy-focused servers depending on the task intensity. Apple also uses ChatGPT (GPT 4o) for Siri responses when necessary. This, along with Google’s Assistant with Gemini, marks the end of the tiny-phone LLM devices that were portrayed as revolutionary. https://www.apple.com/apple-intelligence/ submitted by /u/TechExpert2910 [link] [comments]

submitted by /u/GregWilson23 [link] [comments]

submitted by /u/wiredmagazine [link] [comments]

submitted by /u/Maxie445 [link] [comments]

submitted by /u/bpra93 [link] [comments]

submitted by /u/Personal-Trainer-541 [link] [comments]

submitted by /u/Alone-Competition-77 [link] [comments]

submitted by /u/Maxie445 [link] [comments]

There is something from the demo that still naws at me. Mira said, that the 4o model reasons across voice (audio), text, and vision (video). I still don't see any indicators of this for api usage and consumption whatsoever. Firstly, I am asking is this a model consolidations from an api perspective for creators or is this something internal availability only for ChatGPT-4o itself? I will use audio and video as examples. Text has come with an iterative stream feature so this is the kind of feature set I am looking for that correlates with the demo and it's output capabilities. Audio Audio falls under Speech-to-Text (STT) and Text-to-Speech (TTS). In the case of this concern we are speaking to the 'whisper model' modality via the api docs and more specifically STT because that would be the i...