beklein
Joined 2 years ago
Joined 2 years ago
Most people will be able to host it locally and test it this way.
I'd argue that both of these would be highly beneficial for all kinds of students, founders and non-founders alike.
Starting a startup could be generalized for all students to having a dream or goal, taking ownership of it, and making it happen. A startup is just one possible path, pg is probably too specific here, I would agree.
Having more free time to work on my own projects is probably the freedom I missed most at university. I think learning to choose what to work on and making something happen would benefit future workers, teachers, doctors, and engineers just as much as entrepreneurs.
It's a trade-off in terms of time and other resources, since parts of the existing curriculum would have to fade away. But I think it's a good starting point for change and a good direction to move in.
https://www.anthropic.com/learn/claude-for-you
This framework provides a more abstract way of thinking when working with AI systems. Especially valuable to me is the pattern of the 4 D's: Delegation, Description, Discernment, and Diligence, which I have now internalized whenever I use AI systems. It helps me understand my own and others' (mis)use of AI systems a bit better.
I actually copied the link from NVIDIA's Technical Blog post:
- https://developer.nvidia.com/blog/nvidia-nemotron-3-5-lightn...
You can also try the model via a free API endpoint from Openrouter, would be interesting to see if it's the BF16 or NVFP4 version:
Other AI labs also tend to publish examples and cookbooks on GitHub and Hugging Face, so it's always worth keeping an eye on those as well.
Specifically they use this harness: https://github.com/ArtificialAnalysis/Stirrup