NEW Deepseek R1 Beats OpenAI o1!🤖 Start Using In n8n & Cursor Open Source AI Reasoning Benchmarks
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⏳ Timestamps
00:00-Introduction to DeepSeek R1 and Open Source Advancements
00:38-ARC AGI Benchmark Progress and Test Time Compute Paradigm
01:12-DeepSeek R1 vs OpenAI O1 and O3 Performance Comparison
01:57-Benchmark Analysis: DeepSeek R1 vs OpenAI O1 and Cost Efficiency
02:31-Practical Use Cases and How to Use DeepSeek R1 Today
03:03-Community Reactions and DeepSeek R1 Implementations
03:45-DeepSeek R1 Performance in Various Applications
04:30-Test Time Compute Paradigm and AI Reasoning Improvements
05:06-DeepSeek R1 Account Creation and User Experience
05:36-DeepSeek R1 and the Global AI Competition Landscape
06:13-DeepSeek R1 Test Time Compute Explanation and Features
06:47-Demonstration of DeepSeek R1’s Thinking Process
07:18-Innovations in Reinforcement Learning and Minimal Data Use
08:17-DeepSeek R1 Strengths, Weaknesses, and Cost Comparison
09:26-DeepSeek R1 GitHub Repo and Model Availability
09:58-Running DeepSeek R1 Locally on Different Hardware
10:41-Using DeepSeek R1 with OLLama and LM Studio
11:19-DeepSeek API Platform Overview and Pricing Details
12:00-Unsupported Features and Workarounds for DeepSeek R1
12:34-Using DeepSeek R1 with N8N and OpenRouter Integration
12:59-DeepSeek R1 Provider Options and Latency Comparisons
13:48-Direct API Connection for DeepSeek R1 Setup
14:30-DeepSeek R1 Integration with Cursor for Coding
15:21-Practical Applications and Future Content Plans
15:57-Stride AI Academy and Business AI Implementation Services
16:17-Closing Thoughts on Open Source vs Closed Source AI Models