Back

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:

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.

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.

Most people I know are getting overly-reliant on AI for thinking/reasoning and strategy. This will have longterm negative impact on individuals as they'll become incapable of reasoning all together.

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.

“reasoning models don't actually reason at all. they just memorize patterns really well” - apple

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

Why is there a 33% surcharge? It seems like such a precise number, what's the reasoning behind it?🧐

"AI will eliminate every job!" in reality: It makes completely new types of jobs, like a Reasoning Engineer 👇

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