Is ChatGPT encouraging increased cognitive offloading?
This study examines the cognitive and behavioral effects of using large language models (LLMs) for essay writing. Using EEG, NLP, and expert scoring, the researchers found that LLM users showed lower brain connectivity, reduced memory engagement, and weaker essay ownership compared to those using search engines or writing unaided. Participants who switched from LLM to brain-only conditions showed signs of under-engagement, suggesting possible long-term impacts. The findings point to cognitive trade-offs associated with LLM-assisted writing and raise questions about its implications for learning.
The paper calls it the accumulation of cognitive debt, a condition in which repeated reliance on external systems like LLMs replaces the effortful cognitive processes required for independent thinking.
How AI Is Creating New Jobs, Not Just Replacing Old Ones
This article explores the evolving landscape of work as artificial intelligence becomes more integrated into the economy. While AI is expected to automate certain roles, it is also generating new types of jobs that require skills in managing, training, and collaborating with AI systems. The piece highlights stories of workers who have transitioned into these emerging roles, suggesting that adaptation and upskilling will be key to thriving in the AI-driven workplace.
My favorite? Legal guarantor: “at some point, a human, perhaps even a certified one, needs to sign off on this work.”
Amazon Employees Push Back Against CEO’s AI-Driven Job Cuts
Amazon CEO Andy Jassy’s announcement of AI-driven job cuts has sparked significant backlash among employees, who criticize the company’s approach and express concerns about morale and leadership1. Workers are worried that the rapid implementation of AI will lead to widespread layoffs, particularly among white-collar staff, and are calling for a more transparent and considerate strategy regarding workforce changes. Read more here.
AI Talent Wars Heat Up as Meta Targets OpenAI Staff
OpenAI CEO Sam Altman revealed that Meta has been offering his team massive incentives, including $100 million signing bonuses, to lure talent. Meta is aggressively expanding its AI capabilities, recently investing $14 billion in Scale AI. Despite the offers, Altman claims his top talent has stayed put. As AI investment surges, competition for elite researchers is intensifying, making talent the most coveted asset in the ongoing tech arms race. Read here.
The next time someone from my generation muses about how they can remember the phone number of their best friends from school who they haven't met for years, but need to check their cell phone to recall their own children's phone numbers, I'm going act all learned and say that it's a classic case of "the accumulation of cognitive debt"!