Gate Booster 第 4 期:發帖瓜分 1,500 $USDT
🔹 發布 TradFi 黃金福袋原創內容,可得 15 $USDT,名額有限先到先得
🔹 本期支持 X、YouTube 發布原創內容
🔹 無需複雜操作,流程清晰透明
🔹 流程:申請成為 Booster → 領取任務 → 發布原創內容 → 回鏈登記 → 等待審核及發獎
📅 任務截止時間:03月20日16:00(UTC+8)
立即領取任務:https://www.gate.com/booster/10028?pid=allPort&ch=KTag1BmC
更多詳情:https://www.gate.com/announcements/article/50203
Will one large model dominate the future? Absolutely not.
We have a massive amount of work that needs to be replaced by AI, but many tasks don't require the most cutting-edge AI to get done.
There's a term used in recruitment called "Overqualified" — meaning you're too skilled for the position our company is offering.
AI is like humans; in the future, a large amount of repetitive work will be replaced by "less intelligent" AI models like Minimax, focusing on being cheap and practical.
Recently, because I've been frequently switching between using Grok, Gemini, and Minimax, I've now subconsciously developed the ability to analyze which tasks absolutely cannot be assigned to Minimax.😂😂😂
It's not that Minimax is bad — cost advantages are huge advantages.