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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:

I want a list of reasoning questions that openai o1 and/or deepseek r1 is failing to answer correctly. Quick help is much appreciated. Working on something and want to test it for reasoning capabilities.

deepseek is best ai i ever used. in large prompt ai will miss certain things that important to final result. in deepseek the reasoning is soo good that i dont have to mention the missing part to the ai

Anthropic has unveiled Claude 3.7 Sonnet, its most advanced AI yet and the first hybrid reasoning model. It combines rapid responses with deep, step-by-step reasoning, redefining AI problem-solving.

After Deepseek, ChatGPT too added reasoning to think longer before answering. So yeah, the same business competition can bring in good features across the whole competition.

I don't really post about the startup's in showcase but I just wanna say , I really liked busigen

LLM Post-Training: A Deep Dive into Reasoning LLMs This survey paper provides an in-depth examination of post-training methodologies in Large Language Models (LLMs) focusing on improving reasoning capabilities. While LLMs achieve strong performance

DeepSeek accused of using Google's Gemini to train its Al Developers and experts point to similarities in language patterns and reasoning as signs that it may have copied or learned from Gemini's behavior Source: Medium 🌝

Hi my name is Himanshu Rathee , currently finish up with my board examination of 10th almost, I have got a idea for a start up which I think is a good idea like a platform on which children of smaller age group can practice reasoning questioning to i

good news for developers deepseek api site is fixed