PinnedLit Meng (Robert) Tang·Apr 3What the Tang Papers Actually Are (And Why They Matter Right Now)Most of us have had the same quiet frustration lately.
Lit Meng (Robert) Tang·Apr 23The Language Gap in Physics Reporting (and a Simple Tool to Close It)Why accurate experiments turn into misleading headlines — and what writers can do about it
Lit Meng (Robert) Tang·Apr 11AI Doesn’t Think — It AssemblesWhy fluent AI responses drift — and what that reveals about thinking, authorship, and control
Lit Meng (Robert) Tang·Apr 5Why Waiting for AI Feels Like Waiting for ResurrectionWhat the silence between “Please hold — generating…” and response reveals about local death and global life
Lit Meng (Robert) Tang·Apr 3An AI Generated a Perfect Equation — That Was Completely WrongA real case study of how a convincing equation collapsed under one simple question.
Lit Meng (Robert) Tang·Mar 27Why Grok Feels Like It Has a Personality (Even If It Doesn’t)What we’re really seeing when AI feels witty, bold, or human
Lit Meng (Robert) Tang·Mar 18What 62 Geese Taught Me About Time (It’s Not What You Think)Why synchronization isn’t constant — and what that means for teams, learning, and how we think about time
Lit Meng (Robert) Tang·Mar 16War and Peace Have a RhythmWhy conflicts between nations may be less about ideology — and more about coordination breaking down
Lit Meng (Robert) Tang·Mar 14AI Hallucinations Aren’t Random — They May Be Boundary ErrorsA simple framework called Phase–Scalar Reconstruction may help explain why large language models produce confident but incorrect answers.
Lit Meng (Robert) Tang·Feb 28We Are Misreading the Biggest Failures of Our TimeWhy coordination collapses look like intelligence explosions, paradoxes, and productivity problems