Expired60% confidenceFactTime unknown
The underlying technology of Vibe Coding relies on code-generation large models such as GPT-4o and Claude 3.5, which are trained on tens of billions of lines of open-source code.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
5/31/2026
First Seen
Valid until: 8/29/2026(expired)
Sources
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Related Claims
UnverifiedThe rise of Vibe Coding is closely related to the capability leaps of code generation models such as GPT-4, Claude 3.5, and DeepSeek-V3 in 2024–2025.84% similarVerifiedThe code generation capabilities of large language models such as GPT-4 and Claude stem from the fact that their training data includes hundreds of millions of open-source code repositories on GitHub.81% similarVerifiedModern large language models such as GPT-4, Claude 3, and Gemini, having been pre-trained on massive code corpora, are already capable of understanding natural language descriptions and generating high-quality, runnable code.77% similarUnverifiedThe core driving force behind Vibe Coding is large code models based on the Transformer architecture, such as GPT-4o, Claude 3.5, and Gemini 1.5.77% similarVerifiedCursor's underlying layer calls large language models such as GPT-4 and Claude, and has been specifically optimized for code generation scenarios.75% similar
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