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Anjney Midha warns that within ~18 months, AI-driven disruption will fundamentally threaten cybersecurity companies whose value depends on providing trust, citing the bitter lesson.
Richard Sutton summarizes his bitter lesson: AI should focus on scalable methods like search and learning rather than on incorporating human knowledge.
Introduces pedagogical RL, a paradigm where privileged self-teachers are trained to generate correct and easy-to-follow rollouts, showing it is a relatively easy RL problem.
The author argues that while the 'bitter lesson' and 'no free lunch' intuitions are misleading in isolation, they provide the correct perspective when combined.
A thoughtful thread on developing genuine research skills in machine learning, covering how to pick problems independently, cultivate taste, upgrade information inputs, and write to clarify thinking.