The competitive AI landscape can be seen as a great bake-off, with each company presenting its own recipe for creating the most impressive “cake” (AI model). With V3.2-Exp, DeepSeek has confidently presented a new and innovative recipe that challenges the traditional methods of its rivals.
For years, the dominant recipe has been simple: more of everything. More flour (data), more sugar (parameters), and a bigger oven (compute). This recipe, used by giants like OpenAI, produces a massive and impressive cake, but it’s also incredibly expensive and time-consuming.
DeepSeek’s new recipe is based on better technique. The key ingredient is “Sparse Attention,” which is like a secret technique for getting the cake to rise perfectly without needing massive quantities of ingredients. It’s about the quality and elegance of the recipe, not just the raw quantity.
The proof of this recipe’s success is in the tasting—and the price. The final product is a delicious cake that is highly capable, especially in its “long-form flavor.” And because the recipe is so efficient, DeepSeek can sell its cake for half the price of the competition.
By presenting this “experimental” bake, DeepSeek is inviting the judges (the market) to try its new recipe. If the judges agree that this smarter, more efficient approach produces a superior result for the price, it could force all the other bakers in the competition to throw out their old cookbooks and start again.
