Based only on the provided headline, the article reports that employees are spending over six hours a week “botsitting” AI at work. The term suggests hidden human labor required to monitor, correct, or manage AI outputs. The central point is not a new AI capability, but the operational friction AI can create when tools require sustained oversight instead of simply reducing workload.
Google is upgrading NotebookLM from a note-focused assistant into a research agent capable of multi-step work. The updated tool can analyze across documents, search the web, and help automate broader research workflows. It can also export results into formats such as presentations and documents, making it more useful for students, researchers, educators, and content creators who need to move from source material to finished outputs.
Kingsoft Office has officially launched WPS Note, an AI-native multimodal note-taking tool for personal knowledge management. It supports voice, images, text, and web input, then applies AI across capture, understanding, organization, search, and reuse. Key features include semantic image understanding, real-time transcription, automatic tags, multimodal search, the WPS Lingxi assistant, and MCP access for tools such as Cursor and Claude.
The piece uses Google’s Gemini agent Spark as a starting point: its contextual awareness and task execution are impressive, even unsettling. But the author argues AI productivity tools mostly optimize problems created by modern software and work culture. Better assistants may schedule meetings and organize life, yet they cannot fix wage stagnation, layoffs, affordability, surveillance, or a weak social safety net.
Wharton School professor Ethan Mollick, in his latest article "The Shape of the Thing," sketches out a clear picture of the current state of AI technological…
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