If Transformer reasoning is organised into discrete circuits, it raises a series of fascinating questions. Are these circuits a necessary consequence of the architecture, and emerge from training at scale? Do different model families develop the same circuits in different layer positions, or do they develop fundamentally different architectures?
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作为“压舱石”,经济大省底盘稳,才能支撑全国经济大盘稳。广东锚定“制造业当家”,让“新广货”行销全球;河南做强现代农业,让“中原粮仓”产粮又“生金”……服从大局、找准定位、各展所长,定会挺起中国经济的“硬脊梁”。。新收录的资料对此有专业解读
When people ask me what a hot take is, here's mine: more agent tools and AI tools should be pricing on outcomes and trying hard to figure out what that means. This aligns with my broader thoughts on pricing AI tools as headcount alternatives.
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