• 목록
• 답변
• 글쓰기
• 게시판 리스트 옵션
  • 수정
  • 삭제

However, if what DeepSeek has achieved is true, they may quickly lose their benefit. They can have to reduce prices, but they are already losing money, which can make it tougher for them to lift the following round of capital. Beyond this, the researchers say they have additionally seen some probably regarding results from testing R1 with more involved, non-linguistic attacks using issues like Cyrillic characters and tailored scripts to try to realize code execution. From a more detailed perspective, we examine DeepSeek-V3-Base with the opposite open-supply base models individually. With the exception of Meta, all other leading companies had been hoarding their fashions behind APIs and refused to release particulars about structure and knowledge. That mentioned, we will nonetheless must watch for the full particulars of R1 to return out to see how a lot of an edge DeepSeek has over others. That said, this doesn’t imply that OpenAI and Anthropic are the ultimate losers. As many commentators have put it, together with Chamath Palihapitiya, an investor and former govt at Meta, this could mean that years of OpEx and CapEx by OpenAI and others will be wasted.

From OpenAI and Anthropic to application builders and hyper-scalers, this is how everyone seems to be affected by the bombshell mannequin launched by DeepSeek. DeepSeek released several fashions, including textual content-to-textual content chat models, coding assistants, and image generators. Although DeepSeek launched the weights, the training code just isn't accessible and the company did not launch much information concerning the training knowledge. I feel this speaks to a bubble on the one hand as each executive goes to want to advocate for more investment now, however issues like DeepSeek v3 also factors in direction of radically cheaper training in the future.