Click any tag below to further narrow down your results
Links
"Workslop" — when colleagues dump AI-generated text on you — creates an unfair effort imbalance: they spend seconds generating it, you spend minutes reading it. The article offers practical strategies to push back, from direct refusal to using AI to summarize their AI.
- The core problem is asymmetrical effort: AI generation is cheap but reading still costs time, making it like a denial-of-service attack on your attention.
- You can fight back by either setting boundaries directly (if you have authority), using AI to quickly extract key points from their dumps, or forcing synchronous communication where they can't hide behind generated text.
- For lower-stakes workslop like status updates, you can simply deprioritize it — skim or ignore it entirely, and if it's truly important they'll explain it themselves.
+ workslop
+ attention economy
+ ai generated text
+ workplace boundaries
productivity
communication
This piece argues that the biggest predictor of groundbreaking research isn’t effort but choosing a high-impact problem. It offers advice on how to spot and focus on the questions that drive outsized success.
- Choosing an important problem matters more than raw effort or working long hours in determining research impact
- Daily blocked-off "prime thinking time," away from meetings and email, is what separates outsized achievers from busy-but-unproductive researchers
- Balancing solitary deep focus with selective collaboration (as Shannon and Tukey did) beats both isolation and groupthink
- Being able to clearly explain results to nonexperts is treated as essential to research success, not a secondary skill