Unverified50% confidenceFactExact time
Actually breaking AES-128 may require thousands of logical qubits and billions of physical qubits, a scale far beyond what current quantum computers can execute.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/9/2026
First Seen
Valid until: 11/7/2026
Sources
为何大语言模型无法破解对称加密？AI能力边界与密码学安全解析
Related Claims
UnverifiedCurrent flagship AI accelerators typically offer only tens to low hundreds of gigabytes of memory, with even the latest high-end models struggling to break the 200GB barrier60% similarUnverifiedStacking techniques such as K-quant, GPTQ, and AWQ can smoothly extend quantization to 4-bit, but performance catastrophically collapses when pushed to 2-bit or 1-bit.59% similarVerifiedThe speed bottleneck in large model inference is memory bandwidth rather than insufficient computing power, as generating each token requires loading hundreds of GB of model weights from memory.57% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/714141API
curl https://kongchang.com/api/v1/knowledge/claims/714141MCP
get_claim(id=714141)