I find that the gushing around deepseek is fascinating to watch. To me there are a few structural and fundamental reasons why deepseek can never outperform other models by a wide margin. On par maybe--as we reach the diminishing returns with our investment in the models, but not win by a wide margin. 1. The US trade war with china which will place deepseek compute availability at disadvantages, eventually, if we ever…
I don't think it's necessarily about DeepSeek, but about the wider competitive picture. There are two tacit assumptions being made about LLMs - that having a SOTA model is a substantial competitive advantage, and that the demand for compute will continue to grow rapidly. DeepSeek's phenomenal success in reducing training and inference cost points to the possibility of a very different future. If it's the case that SO…
The technical moats we know of in B2B have typically come from a combination of a large number of features efficiently tied into a platform/service that would be cost prohibitive to replicate (ElasticSearch, most successful Database firms), a network effect around that platform the makes it difficult not to be on the platform (CUDA, x86, windows).