I like how Kevin Kelly brings together the ideas about what could be next. That’s always been his thing, hasn’t it? He is probably on to something here and it’s ok to be vague, I think. I don’t mind at all whether it’s all 100% technically correct.
Here are the bits I enjoyed:
LLMs (or GenAI, in general) as (the most?) efficient compression machines.
Creative or new ideas are the gaps or white space of the latent space. They already exist but become harder and harder for humans to find. It’s the perfect job for computers, therefore.
The concept of “true” is defined in the latent space (or compression) itself.
I’m not an expert and surprised by the extent of Azure’s technical debt and its consequences. What would be a “minimal” reproducible configuration or setup of services that shows those technical deficiencies in the clearest way? A “benchmark for cloud computing services”, for a lack of a better description.
What I didn’t realize until a few months ago about writing, James summarized as
> while “writing a first draft” is intimidating, “reading through all your notes” or moving note cards around on a table, contemplating structure, is not. In fact these tasks are kind of delightful.
Thanks for that. I thought about giving lisp a try, lately. This tutorial/presentation has been very insightful and I will try out kons-9 to pick up some lisp.
Here are the bits I enjoyed:
LLMs (or GenAI, in general) as (the most?) efficient compression machines.
Creative or new ideas are the gaps or white space of the latent space. They already exist but become harder and harder for humans to find. It’s the perfect job for computers, therefore.
The concept of “true” is defined in the latent space (or compression) itself.
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