Back

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.

Meet latest game-changer OpenAI o1 – an AI model built for deep thinking and unmatched performance - Takes extra time to think before responding for more accurate answers - Ranks in the 89th percentile in competitive coding (Codeforces) - Secure

🚨 Open AI is an Wrapper👀🤯 Hot take, but let’s break it down logically: OpenAI is not a full-stack AI company — it’s a high-level wrapper over Azure and NVIDIA. Here’s why that matters 👇 🔹 1. Infra Backbone = Microsoft Azure Almost 90%+ of Op

𝗢𝗽𝗲𝗻𝗔𝗜 𝘀𝗶𝗴𝗻𝘀 $𝟭𝟬 𝗕𝗜𝗟𝗟𝗜𝗢𝗡 𝗔𝗜 𝗰𝗵𝗶𝗽 𝗱𝗲𝗮𝗹 𝘄𝗶𝘁𝗵 𝗖𝗲𝗿𝗲𝗯𝗿𝗮𝘀 OpenAI has signed a multiyear agreement with AI chipmaker Cerebras to secure 750 megawatts of compute through 2028, to expand its infrastructure for real-t

Big News: Friday AI – Adaptive API is Coming! We’re launching Adaptive API, the world’s first real-time context scaling framework for LLMs. Today, AI wastes massive tokens on static context — chat, code, or docs all use the same window. The result?

𝗜 𝘀𝗽𝗲𝗻𝘁 𝟰+ 𝗵𝗼𝘂𝗿𝘀 𝗿𝗲𝘄𝗮𝘁𝗰𝗵𝗶𝗻𝗴 𝗞𝗮𝗿𝗽𝗮𝘁𝗵𝘆’𝘀 𝗬𝗖 𝗸𝗲𝘆𝗻𝗼𝘁𝗲. And I realized — we’ve been looking at LLMs the wrong way. They’re not just “AI models.” They’re a new kind of computer. • LLM = CPU • Context window = mem

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

GPT-5 Full Review & 10 Mind-Blowing Use Cases OpenAI has just launched its most awaited model yet: GPT-5. And it’s not just one step closer to AGI, but has almost entirely automated a lot of things using just simple prompts. In this video, we put t

GPT-5 is here.* This is the moment when AI stops being a shiny toy and becomes infrastructure. 👇 OpenAI has launched its new flagship model, and the focus is clear: reliability, power, and a change in how we interact with AI. *The Essentials o

Jensen Huang, the CEO of NVIDIA, describes how AI is advancing in three key dimensions: 1. Pre-training: This is like getting a college degree. AI models are trained on massive datasets to develop broad, general knowledge about the world. 2. Post-