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Machine Learning Street Talk (MLST)
Machine Learning Street Talk (MLST)

Computation, Bayesian Model Selection, Interactive Articles

1 tim 14 min•22 september 2020

Om avsnittet

This week Dr. Keith Duggar, Alex Stenlake and Dr. Tim Scarfe discuss the theory of computation, intelligence, Bayesian model selection, the intelligence explosion and the the phenomenon of "interactive articles". 


00:00:00 Intro

00:01:27 Kernels and context-free grammars

00:06:04 Theory of computation

00:18:41 Intelligence

00:22:03 Bayesian model selection

00:44:05 AI-IQ Measure / Intelligence explosion

00:52:09 Interactive articles

01:12:32 Outro

Fler avsnitt

Visa alla avsnitt av Machine Learning Street Talk (MLST)

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Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick

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How Physical AI Learns Across Language, Video and Action — Ming-Yu Liu

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Speech Recognition Is Not a Solved Problem — Pavan Kumar Reddy

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How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes

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AI 2040: Plan A report - Daniel Kokotajlo & Thomas Larsen

1 tim 30 min

Designing How AI Grows — Tom McGrath

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Stealing Reasoning Traces from Proprietary LLM APIs — Ilia Shumailov & Alexander Panfilov

49 min

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