a16z的报告里举了几个例子，把这个问题讲得很具体。投行分析师用Hebbia，几百份公开文件自动分析完，财务模型直接生成，以前要熬几个通宵做的事情，现在可以去睡觉了。医生用Abridge，它能实时记录医患对话，自动整理病历和后续跟进事项，医生看诊时不用再一边问话一边盯着屏幕敲字。还有做财务对账的Basis，跨系统自动核对试算表，原本需要人工反复比对的工作变成几分钟的事。
The UK government wants the country to be a world leader in AI and is seeking to attract investment in data centres to achieve this goal.
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She said the scar had not healed and there was a "gaping hole", and the implant site was infected.
The new DDoS: Unicode confusables can't fool LLMs, but they can 5x your API bill Can pixel-identical Unicode homoglyphs fool LLM contract review? I tested 8 attack types against GPT-5.2, Claude Sonnet 4.6, and others with 130+ API calls. The models read through every substitution. But confusable characters fragment into multi-byte BPE tokens, turning a failed comprehension attack into a 5x billing attack. Call it Denial of Spend.