3 ms·
On my MBP M2 Max 16" with 92GB of RAM, 2 prompts on llama3.3:70b or 1 prompt on deepseek-r1:70b take about 10% of battery. Really makes me nervous when I think
by fuzzc0re 2y ago
On my MBP M2 Max 16" with 92GB of RAM, 2 prompts on llama3.3:70b or 1 prompt on deepseek-r1:70b take about 10% of battery. Really makes me nervous when I think about people (ab)using gpt-o1 or 4o for everything.
For a prompt to make the cut, I usually judge whether the task (or the documentation) is boring enough, time-consuming enough, yet precise enough for an llm to give me the solution. If something requires more than three-five prompts then I need to work on it myself and come back with smaller and more precise questions.
IMO, if the green energy industry wants to penetrate an important domain of modern life fast, the serving of open source models seems like a really low hanging fruit.
- Lionga 2y agoJust as an idea 10% of MBP battery that is roughly the same as driving 50 to 100 meters in an EV car.
- fuzzc0re 2y agoI don't really get the comparison. With 10% of battery I can code for 3 hours. If I compare the result of this activity with the 10% of battery wasted on a single question whose answer probably won't be completely correct, I consider the latter to be excessive, in relative terms, even if I take into account my time cost. Theoretically, if I would need to ask 100 questions to complete one task, I would need to recharge my computer 10 times. This is why I offload the burden of energy usage to a third party such as OpenAI. BTW I don't drive if I don't have to either, which might make me more sensitive than you to this, comparatively low, energy usage diff.
- Lionga 2y agofunny, I actually think the energy use was high not low. Like energy to move a 1000 KG thing for 100 meters just to answer a simple question? Try doing that with your own muscles. And that from the system that is using like 10% of the energy then OpenAI. So for OpenAI every useless request is like pushing 1000KG for 1KM.