And I’d say that we have been doing both. We certainly license with a bunch of huge mega brands. We just announced Harry Potter, we do KPop Demon Hunters, we announced Voltron and Street Fighter, and the Walt Disney Company, with whom we’ve been in business since 1954, with Marvel and Star Wars. So we do a lot that appeals to kids, and then we have some of our own house brands like My Little Pony, Peppa Pig, and Transformers. But increasingly, I think we’re choosing to invest our capital and some of our best talent in that older audience, where you can build a play system. You can establish more kinds of strategic brand moats and distribution moats, and it’s a little harder for new competitors to edge in. And the brand loyalty tends to last a bit longer than the attention span of a typical 4-year-old.
return best_idx;
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Agent Kanban is a VS Code extension that solves these problems via a markdown formatted task record, and a clear plan / todo / implement flow.
compress_model appears to quantize the model by iterating through every module and quantizing them one by one. Maybe we can parallelize it. But also, our model is natively quantized. We shouldn't need to quantize it again, right? The weights are already in the quantized format. The function compress_model is called depending on if the config indicates the model is quantized, with no checks to see if it's already quantized. Well, let's try deleting the call to compress_model and see if the problem goes away and nothing else breaks.