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Joined 1 year ago
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Cake day: July 6th, 2023

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  • https://github.com/ossu/computer-science

    There are repos like this.

    Or there are repos like this: https://github.com/parthsuresh/stylegan2-colab

    Where the latter has lots of materials to essentially train and run your own ML models. Teaching a lot of advanced topics simply in a way, using tools like Google’s colab. Using tools like Discord to handle discussion thereafter, seeking volunteers to improve or foster discussion in general.

    There was one project, that was a simple react app, but meant for those in the Arts. Connecting famous works with news headlines of their time period. Allowing you to connect the dots around time frame and artistic movements in a more visual and impactful way. With a simple understanding of npm as an Arts Major, you could greatly improve your learning experience.

    I feel all the materials are already there out in the open. Yet many do not take advantage or know how to access them or know how these projects can help them. Even with the age of LLMs, I’ve felt it hasn’t impacted the curiosity variable I mentioned either. When I say improve, I have wanted to build a tool which acts like the index to create your own lesson plan using all these FOSS software. Where FOSS is important because it provides the code for tinkering as a lot of kids, especially me, learn better with hands-on learning.

    I just feel a lot of contributors out there do a great job already in teaching and providing. But, I’d love to talk about how we can integrate these into actual curriculum, and not some school club or after-school activity. I am no educator, so this is the part where I’d like to learn more about. And if that’s not a possibility, then how can the process of looking for these tools and learning how to learn be shared instead online.















  • Yeah, I assumed the general consensus was “alt coins” in crypto or the scams themselves are the “bubble”. But, Ethereum and initial projects that basically create the foundational technologies (smart contracts, etc) are still respected and I’d say has a use case, but is not “production ready?”. So for AI/ML in LLMs at least, things like LLaMa, Stability’s, GPT’s, Anthropic’s Claude, are not included in this bubble, since they aren’t necessarily built on top of each other, but are separate implementations of a foundation. But, anything a layer higher maybe is.