According to Bloomberg reporter Mark Gurman, Apple is working to bring Apple Intelligence to the Vision Pro headset. One challenge is to optimize the features for mixed reality. The AI features will not be released for the Vision Pro until next year - Apple Intelligence will launch on all other supported devices in the fall. By then, Gurman expects a deal with Google or Anthropic to support additional AI models. Longer term, he speculates, the company may be planning a monthly subscription service like "Apple Intelligence+" that offers additional features to monetize the technology. Apple already takes a cut of subscription revenue from any AI partner it brings on board. "The company will be less reliant on hardware tweaks to drive its business and will actually be making money from AI — something everyone in Silicon Valley is hoping to pull off," Gurman says.
Hub AI in practice
Artificial Intelligence is present in everyday life – from “googling” to facial recognition to vacuum cleaner robots. AI tools are becoming more and more elaborate and support people and companies more effectively in their tasks, such as generating graphics, texting or coding, or interpreting large amounts of data.
What AI tools are there, how do they work, how do they help in our everyday world – and how do they change our lives? These are the questions we address in our Content Hub Artificial Intelligence in Practice.
LMSYS Org has added image recognition to the Chatbot Arena to compare vision language models (VLMs) from OpenAI, Anthropic, Google, and other AI vendors. In two weeks, more than 17,000 user preferences were collected in more than 60 languages. GPT-4o and Claude 3.5 Sonnet performed significantly better at image recognition than Gemini 1.5 Pro and GPT-4 Turbo. While Claude 3 Opus is better than Gemini 1.5 Flash for language models, both are similarly good for VLMs. The open-source model Llava-v1.6-34b is slightly better than Claude-3-Haiku. The data collected shows common applications such as image description, math problems, document comprehension, meme explanation, and story writing. Next, the team plans to add support for multiple images, as well as PDFs, video, and audio. The Large Model Systems Organization (LMSYS Org) is an open research organization founded by UC Berkeley students and faculty in collaboration with UCSD and CMU.
