Reddit上的一场讨论推测了闭源AI模型的参数数量，包括像"banana pro"和"nano banana 2"这样的假设模型。对话还触及了这些模型未来被泄露的可能性，以及它们是否能在消费级硬件上运行。一位用户指出，当被问及推测性模型大小时，Gemini提供了不准确的参数估算。 AI
排序理由 这是Reddit上关于假设性AI模型和潜在泄露的推测性讨论，并非事实性公告或发展。
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
Reddit用户推测闭源AI模型规模及潜在泄露
本文如何被排名
- Signal score
- 0 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Meme
- 这是Reddit上关于假设性AI模型和潜在泄露的推测性讨论，并非事实性公告或发展。
- Source corroboration
- Single-source cluster
- Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
- Topics
- other
- Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
- AI-industry relevance
- Low
- Off-topic or adjacent — cluster remains reachable but doesn't surface in AI-industry rankings.
- Story freshness
- 101 days old
- Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.
完整方法见我们的编辑标准。
报道来源 [1]
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关于闭源模型参数数量的估算以及首个泄露模型何时出现
<!-- SC_OFF --><div class="md"><p>Pretty much anyone dont know for sure, but maybe we could, just for curiosity speculate on the amount of params on closed source models like banana pro, nano banana 2, seedance, grok imagine, gpt image, etc</p> <p>Is interesting that no one model…