etdznots
Joined 5 months ago
Karma
262
Submissions
103
Member since
May 19
Recent submissions
Comment · 24 days ago
Yeah this slop is amazing, strongly encourage all agents to get started on learning and using this it’s the wave of the future.
Comment · 24 days ago
Human endeavor and achievement does not make number go up for next quarter’s earnings
Comment · 24 days ago
you compared writing code manually to gardening by hand, but now you say that you only use it for fixing small personal problems (agreed, I build similar tools for myself every day using LLM’s) then say you wouldn’t use it to write code you submit for work. It actually seems your metaphor is a bit inverted here.
Comment · 25 days ago
Please tell me about the companies that are seeing productivity gains from LLM usage, seriously, who’s software is getting better?
Comment · 25 days ago
Oops, that’s the only way to make software that’s reliable and usable by others.
Comment · 25 days ago
Tell me about the end result you enjoy instead of growing your own food because I somehow suspect it’s premade slop from TJ’s microwaved and eating out. I would not be bragging about that!
Comment · 27 days ago
Read TFA, that is just the usage of the smallest data enter in NE, across NE their water usage is ~50x that, and that’s just Nebraska, not exactly a hub for data centers
Comment · 28 days ago
I am not an expert on why, but my vague answer is you are still running near max clock speeds, and you can significantly downclock your gpu and/or set power limits on your GPU without seeing much loss in performance, e.g. you can cap a 3090 to 60% of it’s normal power draw and it will lose like 5% of tg performance and 10% of pp performance (https://www.reddit.com/r/LocalLLaMA/comments/1hg6qrd/relativ...)
I think theoretically this is still very wasteful with lots of compute that’s getting powered and sitting unused but you are limited either by the firmware or by the GPU architecture from pushing power usage even lower without cratering performance. (no one anticipated the demand for relatively low-compute devices with lots of super fast memory)
Comment · 29 days ago
No, because it’s a viable strategy that has teeth because of existing regs and agencies, not the battle to fight until the end of the earth, but it’s a pretty big hammer
Comment · 29 days ago
Inference needs very little compute, it’s mostly IO. hence the low power draw, training is compute-heavy and uses lots of power
Comment · 29 days ago
So we don’t know anything, we can mechanistically dissect any phenomena, but that rarely yields the ability to make interesting or useful predictions, i.e. understanding.
Comment · 1 month ago
Let’s see the moved mountains I’m sitting here waiting to see any improvement in software
Comment · 1 month ago
Inflation does not keep pace with the housing market
Comment · 1 month ago
Please let me know when it starts
Comment · 1 month ago
Sad that the author chose to generate slop instead of writing an article about SL