Qwen 3.8 27B Oh My This result is unreasonable Qwen 3.8 27B makes using almost any other model unreasonable (except for the big boyz ofc ?!) They took a while to release this and still even pricing APIs are quite unreasonable on open router As for the model I am guessing Alibaba just left the training going since the last release of 3.6 27B That is the only explanation When Llama 3 was released they mentioned that even the 8B model didn’t saturate and was improving albeit slowly Economically investing in the training of a small model can save for you later in inference costs (depending on the usage ofc and until break even point) I am assuming they did it that way which is super impressive I can’t wait to see the performance on cybersecurity benchmarks especially the uncensored variants. It feels like an endgame for LLMs the gal between open models and commercial ones are closing and it seems like no matter how much training is done improvements are incremental or very slow. Which is usual for neural networks and happened before with Computer Vision We had AlexNet GoogLeNet ResidualNet VGG16 YOLO v1,2,3 Until it largely saturated (now the thing is YOLO E which uses transformers and embedding to do some in-context few example learning to classify not-seen-before objects or not classified before (like say it did classify donkeys and horses but not Zebras, you give it some examples of Zebras and Classify them as Zebras (it will use embedding transformer for text) and now it can recognize and report Zebras, ofc it did exist in the data but it wasn’t reported, anyways) And Computer Vision or object classification is now largely stagnant or incremental (I would say almost solved) I think if nothing radically new is released (like when thinking was released, or early days of “agentic AI”) the “bubble” will burst but we will get models chips and RAMs and even AI as a result which feels amazing What do you think ? submitted by /u/Potential_Block4598 [link] [comments]
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