Listen to the optimists, and the AI-driven economic boom is at the doorstep. The Penn Wharton Budget Model projects AI will add 1.5% to GDP and productivity over the next decade. Goldman Sachs says it could add up to three percentage points to productivity every year. By the mid-2030s, AI might increase work output by 20%, according to Vanguard.
Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.
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我国地大物博，好山好水哺育着热爱生活的人民，塑造了各具特色的地方美食。社交平台上，许多网友分享了外地朋友寄来的年货。浙江温州干货大礼包、山西白花花的大馒头、四川的手工腊肠……或是用风干腌制锁住美味，或是以易储存、高能量食品抵御寒冷，或是将时间窖藏酿成甘醇，每一份特产都是一方水土的结晶，藏着独属于当地的自然禀赋与生活智慧。一份份“硬货”，超越简单的礼尚往来，勾勒出一幅鲜活的地域文化图景，也诠释了年味动人的情感内核。
Don't run this on expensive equipment as it may have ECC RAM which will ruin your fun