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I was considering the energy used and $, R&D and time spent to train those models, which is colossal compared to the developer and factor that in. Then they don
by keyle 2y ago
I was considering the energy used and $, R&D and time spent to train those models, which is colossal compared to the developer and factor that in. Then they don't look so impressive. For reference, I'm not anti-LLM, I use Claude and ChatGPT every day. I'm just raising those if you want to consider all facts.
- lgas 2y agoThat cost is amortized over all requests made against all copies of the model though. Fortunately we don't have to re-train the model every time we want to perform inference.
- bawolff 2y agoThat's a weird comparison. Would you also count the number of hours it took for someone to write the OS, the editor, etc? The programmer wouldn't be effective without those things.
- menaerus 2y agoAnd now also consider the amount of time, school, university, practice and $$$ it took to train a software engineer. Repeat for the population of presumably ~30 million software engineers in the world. Time-wise it doesn't scale at all when contrasted to new LLM releases that occur ~once a year per company. $$$-wise is also debatable.