https://lab.enverge.ai/b200-challenge/ - making high-end compute available to a few researchers, who are conscious about the impact of data centers on climate and local communities.
I'm working on something that proves to be more ambitious than initially thought:
pure Python notebooks + zero-emission GPUs + git = https://lab.enverge.ai
Currently struggling with an experiment where DeepSeek-R1 is being overly verbose.
There's a smell of pseudo-science here. That weird blend of interesting + plausible with sprinkles of heavy-handed parallels.
After "Isaac Newton, who may have been the smartest person who ever lived" the level of trust fell drastically.
Sure, the periodic table was extremely useful and we were using electricity before we understood it, but we understand LLMs far better, mostly because they are our own creation.
Maybe the lines between exploration, creation and discovery are fuzzy sometimes, but this article tips over into AI propaganda.
Right, but critiquing with the right perspective is important. Statements about making a loss must contain the entire economic picture, otherwise they simply aren't true at some point.
A business can't be scrutinized unless the units of economics are understood.
> because the average person is bad at explaining what they want an LLM to do
Agreed. It's the saving grace for most platform which integrate LLMs even right now. Eg. v0 narrows the scope of general purpose LLMs and offers educated guides.
