Q&A: How AI came to model the 'messy' human mind
HistoryPhilosophyPsychology
THE AI ANGLE
simulating human thought through injected randomnessHistorian Benjamin Lindquist found that early computer engineers intentionally added randomness to neural networks to mimic human creativity. His research traces modern AI hallucinations back to mid-20th-century theories of the human mind. For scholars of cognition and history, this work shows that eliminating machine errors means sacrificing the unpredictability tied to creative thought.
THE TEACHING ANGLE
Instructors can examine the historical trade-off between suppressing machine hallucinations and preserving the randomness needed to simulate creative thinking.Read the original at techxplore.com Generate teaching or study materials
More in History
- New neural framework could make LLMs more empatheticPhys.org — Technology · October 27, 2026
- There are risks when children use AI chatbots. Does Australia's new 'digital duty of care' address them?Phys.org — Technology · October 27, 2026
- Study outlines comprehensive roadmap for AI in mental health careMedical Xpress · October 26, 2026