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🚨 2025 AI RACE IS WILD! 🚨 Round about Q1 is DONE, and look at the SOTA lineup: - GPT-4.5 - Claude 3.7 Sonnet - Grok 3 - Gemini 2.5 Pro - Qwen 2.5 - Llama 4 - GPT-4.1 - OpenAI O3-Mini - DeepSeek R1 AND... O3 & O4-Mini dropping THIS WEEK

what a crazy week in ai • openai agents • stargate project • claude citations • freepik imagen 3 • deepseek-r1 model • perplexity ai assistant • gemini 2.0 flash thinking • tendent 3d asset creation • bytedance reasoning agent

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

OpenAI launches o3-mini, a new AI reasoning model on Friday. Here are the highlights - -> More reliable: Fact-checks before responding, excelling in STEM fields like programming, math, and science. -> Faster & cheaper: 63% lower cost than o1-min

Deepseek R1 is 90% cheaper than o1 while being much better than o1-mini and almost as good as o1 itself. People using https://lumbni.tech were able to switch to Deepseek R1 in barely a second with no downtime. DM me to get free beta access.

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.

🤯Chinese AI startup DeepSeek has surpassed OpenAI's ChatGPT in downloads on the US Apple App Store, achieving this milestone just a week after its launch on January 10, 2025. 🌐 The DeepSeek R1 model, which utilizes a hybrid architecture for enhanc

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 🌝

AI tools to finish hours of work in minutes: 1. Productivity - Create Presentation: Gamma.app - DeepSeek R1 - ChatGPT - Notion AI - BetterPic 2. Research - Perplexity - Otio - Gemini - Claude - Silatus 3. Writing - Jasper - HIX AI - Jenny AI - Tex

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