Back

That's logical I would say and it's important too

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.

Alibaba has unveiled QwQ-32B-Preview, a new “open” AI model that stands out for its logical reasoning and problem-solving capabilities. With 32.5 billion parameters and the ability to process up to 32,000 words of context, QwQ is already making wave

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.

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:

Don't you feel Investors are putting andha paisa on quick commerce startups!? I don't have anything against them but would love to understand the reasoning!

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

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