SECURITY Signal 420
Sources: ByteDance is pre-training an AI model with up to 10T parameters, roughly 3x Kimi K3 and potentially larger than estimates for Anthropic's Mythos 5 (Financial Times)
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ByteDance is pre-training an AI model with up to 10 trillion parameters, roughly three times the size of Kimi K3 and possibly larger than Anthropic’s Mythos 5.
A model of this scale can retain more of its training data, increasing the chance that sensitive information could be extracted by adversaries. The compute and storage footprint required to train and serve such a model stretches existing security monitoring, access-control, and isolation mechanisms. Engineers must adjust threat models and allocate additional resources to protect the larger attack surface.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
The model’s parameter count reaches 10 trillion, making it about three times larger than Kimi K3.
Its size exceeds current public estimates for Anthropic’s Mythos 5, indicating a new upper tier for pre-training efforts.
Security teams will need to scale monitoring, data-privacy safeguards, and infrastructure hardening to handle the expanded footprint.
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