Expired60% confidenceFactExact time
Pure text models are based on the Transformer architecture and only process tokenized text sequences, lacking the encoding pathway to convert pixel information into semantic representations.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
1FlowBase in Practice: Adding Vision Tools to DeepSeek V4 for Multimodal Capabilities
bilibili老文-taichuy6/21/2026
Related Claims
UnverifiedThe Transformer architecture underlying large language models does not directly process raw characters; instead, it first uses a tokenizer to split text into subword units, which are then mapped to high-dimensional vectors for computation.83% similarUnverified纯语言模型的Transformer架构不包含图像解码器，输出空间仅限于文本token，无法原生生成像素级图像82% similarVerifiedLarge language models are based on the Transformer architecture and are trained on massive amounts of text data.78% similarUnverifiedTransformer-based large language models generate text token by token in an autoregressive manner, with no external symbolic verification system to check whether each reasoning step is valid76% similarVerifiedBefore the advent of Transformer, the field of natural language processing relied primarily on RNNs and LSTMs to process sequential data, architectures that had to process text word by word in sequence and could not perform parallel computation75% similar
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