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This video is from the ‘AI with Kyle News and Updates Live Stream’

Summary: Today was a bit different because frankly, there's almost nothing happening in AI news. No new models, no massive announcements which probably means we're due for something big next week, my money's on Gemini 3. Instead of scraping the barrel for non-stories, I decided to do something actually useful and walk through the best learning resources for getting a proper foundation in AI. Not the surface-level stuff, but the resources that'll actually help you understand what's happening under the hood of these large language models.

I started with the fun entry-level videos — Casually Explained and Exurb1a for the philosophical bits — then moved into the serious stuff like Three Blue One Brown's neural networks course and Steven Wolfram's excellent explainer. The real gold is Andre Karpathy's work, particularly his three-and-a-half hour deep dive into LLMs (yes, it's long, I did it on a treadmill). If you work through these resources over a couple of weeks, you'll genuinely know more about how these things work than 99% of people out there. I've also compiled everything into Monday's newsletter as a proper reference guide, so you don't have to frantically scribble notes.

Watch full edited live stream: https://youtu.be/GVc1z2hS72g

—— More Useful Resources ——

My other daily live show - 30-day building a business in public challenge: https://www.youtube.com/live/Z0Z_1Eg3HUk (day one)

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