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After spending years at Apple, I've learned the importance of detailed testing. In this video, I put Grok 3 head-to-head against o1 Pro, revealing insights that dramatically changed how I structure my AI workflow.
You'll discover:
👉 The crucial feature Grok 3 has that o1 Pro overlooked
👉 Why planning your data architecture transforms AI performance
👉 How Grok 3 utilized my codebase context to deliver stunning results
👉 The hidden advantage of reasoning time in AI models
🎯 Stay ahead with weekly AI breakthroughs: https://dub.sh/RayMasterAI
Wikitok-Frontend is a fork of Isaac's (@Aizkmusic) project WikiTok. On a previous livestream we forked the project to convert it into a YouTube learning app instead of Wikipedia.
Wikitok: https://github.com/IsaacGemal/wikitok
🕒 Key moments:
00:00 AI worth your money
00:17 Describing app's purpose
00:49 Letting Grok 3 cook
01:52 Comparing with ChatGPT
02:32 Grok's massive plan
03:19 Grok's planning stage
03:50 Automating LLMs as junior engineer
04:33 Requesting mermaid diagram
05:10 Comparing with OpenAI
06:37 Looking at o1 Pro
07:50 Modeling data hardest part
08:46 Delivering WikiTok front end
09:30 Ranking Grok 3, o1 Pro
10:33 Grok 3 limitations
11:06 AI meets real life
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