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[2403.05530] Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

https://arxiv.org/abs/2403.05530
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2026-08-12 10:14:25
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Text Highlight2026-08-12 13:35:25
Original Highlight Excerpt
"capable of recalling and reasoning over fine-grained information"
Whisper Note
Recalling fine-grained stuff is cool, but I'd rather see it not hallucinate the details first.
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Text Highlight2026-08-12 13:26:25
Original Highlight Excerpt
"capable of recalling and reasoning over fine-grained information"
Whisper Note
10M tokens is wild, but can it actually find that one specific line in a 500-page PDF?
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Text Highlight2026-08-12 10:32:25
Original Highlight Excerpt
"next generation of highly compute-efficient multimodal models"
Whisper Note
Still waiting for the open source model that does this without breaking the bank.
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Text Highlight2026-08-12 10:23:25
Original Highlight Excerpt
"next generation of highly compute-efficient multimodal models"
Whisper Note
Million token context is wild, finally can throw whole codebases at it.
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arxiv.org
Text Highlight2026-08-12 10:14:25
Original Highlight Excerpt
"next generation of highly compute-efficient multimodal models"
Whisper Note
Compute-efficient but what about the energy cost for training these things?

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