LinkedIn Introduces Feature That Writes Your Thoughts For You Before You Have Them
2 min read, word count: 414A leading professional networking platform has unveiled an artificial intelligence feature designed to compose inspirational career reflections on behalf of users who have not yet considered having any, citing efficiency gains and a long-standing commitment to removing friction from the act of being insufferable online.
The feature, internally codenamed Project Humblebrag, generates a polished update the moment a user opens the application, eliminating the traditional bottleneck in which a person was required to first experience an event before posting a 600-word reflection about what it taught them about resilience.
“Our research showed that users were losing valuable hours each week waiting for things to happen to them,” a company spokesperson explained, while standing in front of a slide that contained only the word synergy in three different fonts.
Early access users have reported strong engagement. One enterprise account manager confirmed that the system generated a heartfelt reflection on a difficult quarter before the quarter began, allowing him to focus on the more important task of nodding thoughtfully during meetings.
The platform emphasizes that all generated posts retain a deeply personal voice, achieved by training the model on every update that has ever begun with the phrase I don’t usually share things like this, but.
A premium tier of the product can autonomously thank a former manager the user has never met, congratulate a colleague on a promotion that has not occurred, and humblebrag about a marathon the user did not run, all before the morning coffee is finished.
Critics have raised concerns about authenticity, to which the company has responded by releasing a 2,400-word post on its own platform reflecting on the journey of building the feature and the lessons learned along the way, generated entirely by the feature itself.
Internal documents suggest a roadmap that includes automatic acceptance of connection requests from people the user actively disliked in college, as well as a feature that simulates being open to opportunities while remaining fundamentally closed to any specific opportunity.
A separate beta program is reportedly testing the ability to generate a tasteful announcement about leaving a company the user has not joined, in order to capture engagement from the previous employer the user also did not have.
The company has confirmed that future iterations will allow the AI to read other AI-generated posts and respond to them with AI-generated insights, completing the loop and allowing human users to step away from the platform entirely while their professional brands continue to flourish in their absence.
Note: This article was partially constructed using data from LLM.