Machine Learning Street Talk (MLST) UK Algoshambles, Neuralink, GPT-3 and Intelligence
Sep 7, 2020
Delve into the chaotic impact of algorithmic grading in the UK, where inflated student grades have led to a crisis of trust in educational metrics. Engage in a lively discussion about the balance between traditional schooling and vocational training in shaping job readiness. Explore the fascinating realms of intelligence, both human and artificial, alongside the potential and pitfalls of GPT-3 and Neuralink. The podcast wraps up with a deep dive into philosophical considerations surrounding consciousness, skills, and the evolving nature of learning.
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UK Exam Fiasco
- The UK government used an algorithm to predict student exam grades during the pandemic.
- This intervention followed inflated teacher-assessed grades and aimed to standardize results.
Environmental Determinism
- Predicting exam results based on school performance raises ethical concerns about environmental determinism.
- People often resist the idea that environment influences individual performance.
Blank Slate Rejection
- People were annoyed by the algorithm because it suggested environmental determinism and a rejection of the blank slate theory.
- The algorithm's use of prior school performance challenged the idea of individual potential.