The author states: “AI isn’t just changing how we work—it’s completely transforming how we learn. In this video, I explore why ChatGPT’s new Atlas Browser could disrupt traditional online courses and reshape the entire learning experience. If AI can browse, understand, and personalize learning in real time, what happens to pre-recorded lessons and structured courses?”
I’m going to explore this methodology.
Model Context Protocol is the standard way for talking to AI.
Mark Andreeson once said, “Software is eating the world.” Meaning that software is automating and organizing business and everything.
Now, AI is eating the software that is eating the world. In an article, “Why Venture Capitalists Are Suddenly Terrified Of AI” — Kevin Rose” Kevin says VCs don’t know how to invest in AI, because the cost of AI to MVP (Minimum Viable Product) is so low, entrepreneurs don’t need VCs anymore to get to market with software products.
“The starting point was that I wanted to do more with voice—as of last week I was still typing notes like a troglodyte.
The average person types 40 words per minute but speaks at 150 WpM, so voice allows you to pass much more context to your AI in the same amount of time. And the more nuance you add to your AI instructions, the better the quality of the AI-generated output will be.
Alibaba launched Qwen3-Coder, a high-performance open-source AI model designed specifically for coding. It provides a strong, freely available alternative to proprietary AI models and AI coding tools.”
A snippet from Journalist Karen Hao on Sam Altman, OpenAI & the “Quasi-Religious” Push for Artificial Intelligence talk on youtube.
Talking about the Maori tribe in New Zealand wanting to get people to learn Maori to keep their language alive without big tech companies taking their intellectual property:
(31:43 in the talk) There’s plenty of research that shows when you have highly curated small data sets you can actually create very powerful AI models and then once they had that tool they were able to do exactly what they wanted to open source this educational resource to their community.
And so my vision for AI development in the future is to have more small task specific AI models that are not trained on vast polluted data sets but small curated datasets and therefore only need small amounts of computational power and can be deployed in challenges that we actual need to tackle for humanity … (climate change, drug discovery)
Karen Hao wrote Empire of AI, a big book on silicon valley ambitions with AI.
She talks about BOOMERs and DOOMERs:
BOOMERS: it’s gonna be great! Utopia.
DOOMERS: it’s gonna be the Terminator!
She talks about Sam Altman as being a very Machiavellian character, who’s intent on ruling the world via Tech.