[mlsu]

Interesting! That is more than I thought. Honored to have caused a nerdsnipe.

In the grand scheme of things, though, most of these are quite small -- 7b range. A 7b model is nothing to sneeze at but it's not megacorp resources either. It's in the range of "VC check" size.

The "big boys" who are training 70b plus are FAANG or government-scale entities. Microsoft, Google, and Meta have multiple entries on that "big" LLM foundation list -- it's because the GPUs are already bought, have to train something to keep utilization up. Also bear in mind that training of these things is still something closer to an art than a science; you put terabytes of data into the cauldron, let it brew, and only after it's done can you taste what you've made. Makes sense that some of these models will be junk.