Asking operators to document workflows while executing tasks causes dual-task interference, leading to incomplete or sterile SOPs. To capture operational truth, uncouple capture from synthesis: have o…
Thinking Machines Lab, led by Mira Murati, published a report arguing for human-centered AI built on customizable model weights. The lab proposes four technical directions to make AI distributed and s…
Thinking Machines, an AI company, argues that artificial intelligence should be designed to extend human will and judgment rather than replace it, emphasizing the need for distributed, continuously le…
Alberto argues that AI can extend human grasp beyond reach, enabling dilettantes to realize ambitions that previously required full-stack genius. By using AI as a prosthetic, individuals can become bo…
LLMs are marketed as productivity tools, but tacit knowledge—gained from experience and impossible to fully articulate—remains the most valuable and scarce resource in companies, as it cannot be copie…
A Davos 2026 chart and recent labor data show AI is thinning the middle rungs of professional hierarchies by cutting entry-level work. Stanford researchers found a 13% decline in 22-to-25-year-olds in…
Engineer Christian Ekrem argues that tacit knowledge—expertise gained through experience that cannot be fully articulated—poses a fundamental limit to AI capabilities, citing examples like a surgeon's…
AI assistants, while fluent, lack the tacit knowledge—unwritten, experience-based understanding—that expert humans possess, and argues that over-reliance on AI is eroding this knowledge in software de…