Silicon Valley has forgotten what normal people want
The long-term risks of the All-In Podcast, illustrated. | Image: Cath Virginia / The Verge, Turbosquid, Getty Images
One of the most mortifying things about knowing a lot of techies is listening to them tell me excitedly about some very important discovery that they believe they have made. Recently, I ran into an acquaintance of mine, who began talking my ear off about an amazing discovery he'd made with LLMs. Knowledge, it turns out, is structured into language! You could put one word into ChatGPT and it might understand what you wanted, or make up a word and see if it understood what you meant! These amazing new tools have revealed that the English corpus contains so much about its speakers!
He concluded that LLMs are a discovery on par with writing.
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Read the full story at The Verge.
OpenAI 剛剛跟一家廣告公司合作,他們想到了怎樣根據你在 ChatGPT 裡面問的問題來投放廣告。簡單來說就是,如果你問 ChatGPT 怎樣修理廚房水管,你就會看到水管工人的廣告。聽起來好像滿方便的,但問題來了——這表示有人在偷偷讀你的提示詞來決定要給你看什麼廣告。這根本就是 Google 和 Facebook 那套老把戲,只不過現在發生在你以為只是拿來寫功課的 AI 聊天機器人上面。那家廣告公司說他們不會存你的提示詞,只是分析一下你屬於哪個類別。信不信由你啦,但這肯定是個信號,代表 ChatGPT 正在從一個有用的工具變成廣告投放機器。如果你有付費用 ChatGPT Plus,你可能要檢查一下這個會不會影響你。
產業已讀
Meta 現在監控員工電腦上的一舉一動來訓練 AI 代理
Meta 在美國員工的電腦上安裝了一個叫「模型能力倡議」(Model Capability Initiative,MCI)的監控工具,會記錄滑鼠移動、點擊、按鍵輸入,甚至偶爾截圖。這些資料被用來訓練 Meta 的人工智慧(AI)模型,讓它們學會像人類一樣與電腦互動,包括自動化執行 Meta 員工日常工作的任務。Meta 聲稱這些資料不會用於員工績效評估,但這舉動還是引發了明顯的隱私疑慮。