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Apple just exposed the truth behind so-called AI "reasoning" models like Claude, DeepSeek-R1, and o3-mini: They’re not actually reasoning — they’re just really good at memorizing patterns. Here’s what Apple found:

OpenELM by Apple definetely looks like a promising stride via its 8 small models Link - https://machinelearning.apple.com/research/openelm https://arstechnica.com/information-technology/2024/04/apple-releases-eight-small-ai-language-models-aimed

The underlying model of notebookLM has been upgraded to gemini 2.5 flash, but it is not 2.5 pro after all. The advantage is that the 2.5 series are reasoning models (thinking models), and the disadvantage is that flash is a distillation model.

We all are in this world for a reason, don't waste your life.

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Hey all, I am trying to learn a new language this year, please help me select. I'd like to hear about your reasoning behind it as well. Thanks!!

we all talk about privacy, we hate when certain software or AI models collected data from us. I really don't understand why it is taken very negatively. most of the people are useless they don't do anything important why they beat about privacy ?

Well, Evanth AI is gonna offer o1 mini and preview at just 99₹ a month. We’ve listed 20+ Premium Models as of now at 99₹.

Revolutionizing AI with Inference-Time Scaling: OpenAI's o1 Model" Inference-time Scaling: Focuses on improving performance during inference (when the model is used) rather than just training. Reasoning through Search: The o1 model enhances reasonin

if Google executes it really well while Apple remains in disarray in their AI strategy, I wonder iPhone may not seem "smart" phone compared to an Android in a couple of years.