And on the hardware, DeepSeek finds a new way to older juices, thus train the latest top-top-top model in the market. Half innovation comes from Straight Engineering, Call Zeeler: “She always has some wonderful GPU Engineer Insinyrs on the team.” NVIDIA provides software called CUDA used to enter chips settings. But deepseek through this code uses assemblers, programming languages that talk with the hardware, so far from NVIDIA provided from the box. “This is a hardcore because it optimized the matter,” Ziler said. “You can do it, but it’s really hard for nothing.” Innovation string in many models are impressive. But it also shows that the company’s claim has less than $ 6 million to train v3 not all the stories. R1 and V3 built on a stack of technology. “Maybe the last-time measures of the key-6 million, but research causes cost 10 times, if it is no more,” Friedman said. And in blog posts cutting up multiple blogs, and anthropic cofounders and CEOs can be done by Esteek: About $ 1 billion reports, based on the greatest GPU, based on the biggest GPU. New paradigm but why now? There are hundreds of starters around the world trying to build the next item. Why do we view the model string like the opening O1 and O3, Gemini 2.0 Google Flash, and now R1 appears in each week? The answer is a basic model-gpt-4o, Gemini 2.0, V3-now has good enough to have a protection like that. “R1 event is with a strong basic model, learning reinforce enough to choose human supervisor,” said Lewis Tensal Man, “said Lewis recentall man with words Plus, the top of our company may think about how to do it but remains silently. “It seems to be a smart way to capture a more important considerable model,” Zilers said. “And until this point, The procedure required to modify the pretrained model as the model of consideration is not yet known. Are not uncommon. “What is the difference in the R1 is the issuance of how to do it.” And it was not a pretrained process in the first time. “The karpath is revealed in the last year, Pretraining model reflects 99% Work and most valuable. If the model of building considerations is not difficult to think, we can expect a widely available model, we know about open, the Friedman thinks, there will be more collaboration among small companies, Blancing edges are preferred by the largest company. “I think this can be a monumental moment,” he said.
How DeepSeek ripped on AI playbook – and why all people will follow
