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Posts
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By Yonah · Posted
This is true. -
By Yonah · Posted
The Start menu in Windows 11 is the Start menu I dislike the most. -
By pradeepviswav · Posted
Apple's AI models still trail behind OpenAI's GPT-4o despite latest update by Pradeep Viswanathan At WWDC 2025, Apple announced several updates related to Apple Intelligence for both developers and consumers. With the new Foundation Models framework, developers can now bring AI experiences to their apps that work offline in a privacy-preserving way and are available free of charge. The Foundation Models framework is built on Apple’s own in-house-developed AI models. Apple also unveiled a new generation of language foundation models. According to Apple, these updated models are faster, more efficient, and offer improved tool use, better reasoning capabilities, multimodal support for image and text inputs, and support for 15 languages. Apple Intelligence includes two foundation models: A 3-billion-parameter model that runs on-device using Apple Silicon. A server-based mixture-of-experts model optimized for Private Cloud Compute. Apple noted that the on-device 3B language model is not designed to be a general-purpose chatbot. Instead, it is intended to perform text-related tasks such as summarization, entity extraction, text understanding, refinement, short dialogues, and creative content generation, among others. The big question is how well Apple’s models perform compared to other leading models on the market. Rather than using standard AI benchmarks, Apple shared results from its own internal evaluations of fundamental language and reasoning capabilities. According to Apple’s text-based evaluations, its on-device 3B model performs favorably against the slightly larger Qwen-2.5-3B and competitively against the larger Qwen-3-4B and Gemma-3-4B in English. Its server-based model performs slightly better than Llama-4-Scout but falls short compared to Qwen-3-235B and OpenAI’s proprietary GPT-4o. In evaluations involving image input, Apple’s on-device model outperforms InternVL and Qwen, and performs competitively against Gemma. While Apple’s server model beats Qwen-2.5-VL, it underperforms when compared to Llama-4-Scout and GPT-4o. These results highlight how far Apple still has to go in foundational AI capabilities. It seems Apple compared its models to GPT-4o to make its performance appear relatively decent. If Apple were to compare its results against OpenAI’s latest O-series models or Google’s Gemini 2.5 Pro, the gap would likely appear much wider. It will be interesting to see how Apple navigates the AI era with its in-house capabilities in the years ahead. -
By Jameswr · Posted
Voe 3 video generation has gone viral. Especially with audio they look realistic. People posting tons of wild videos created by ai is insane -
By Ryster · Posted
Vive tool again. Sigh, no thanks.
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Question
alsheron
I've just read the article on anandtech about software virtualisation and went right ahead and download a copy of Altiris (which is FREE for personal use amazingly)
I was wondering if anyone out there already uses it or something similar and knows how far you can use it/take the concept in real world use?
One thing that springs to my mind is performing a clean install of my system (Vista 32bit Ultimate) and then virtualising ALL my software, including things like the mighty Photoshop.
Will Photoshop or similarly heavy software run noticeably slower when virtualised with software virtualisation and is is a reasonable thing to do to virtualise EVERYTHING? Surely that's the eventual aim of these software programs?
Anyone interested in finding out more can look at the Altiris Juice website and because it's not so easy to find the link, you can download the free for personal use version from here.
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