Alignment Newsletter Podcast

Alignment Newsletter Podcast

Por: Rohin Shah et al.
The Alignment Newsletter is a weekly publication with recent content relevant to AI alignment.
This podcast is an audio version, recorded by Robert Miles (http://robertskmiles.com)

More information about the newsletter at: https://rohinshah.com/alignment-newsletter/
100 episodios disponibles

Latest episodes of the podcast Alignment Newsletter Podcast

Mostrando página 5 de 5

Alignment Newsletter #93: The Precipice we’re standing at, and how we can back away from it 01/04/2020
Alignment Newsletter #92: Learning good representations with contrastive predictive coding 25/03/2020
Alignment Newsletter #91: Concepts, implementations, problems, and a benchmark for impact measurement 18/03/2020
Alignment Newsletter #90: How search landscapes can contain self-reinforcing feedback loops 11/03/2020
Alignment Newsletter #89: A unifying formalism for preference learning algorithms 04/03/2020
Alignment Newsletter #88: How the principal-agent literature relates to AI risk 28/02/2020
Alignment Newsletter #87: What might happen as deep learning scales even further? 20/02/2020
Alignment Newsletter #86: Improving debate and factored cognition through human experiments 12/02/2020
Alignment Newsletter #85: The normative questions we should be asking for AI alignment, and a surprisingly good chatbot 05/02/2020
Alignment Newsletter #84: Reviewing AI alignment work in 2018-19 31/01/2020
Alignment Newsletter #83: Sample efficient deep learning with ReMixMatch 22/01/2020
Alignment Newsletter #82: How OpenAI Five distributed their training computation 15/01/2020
Alignment Newsletter #81: Universality as a potential solution to conceptual difficulties in intent alignment 08/01/2020
Alignment Newsletter #80: Why AI risk might be solved without additional intervention from longtermists 02/01/2020
Alignment Newsletter #79: Recursive reward modeling as an alignment technique integrated with deep RL 01/01/2020
Alignment Newsletter #78: Formalizing power and instrumental convergence, and the end-of-year AI safety charity comparison 26/12/2019
Alignment Newsletter #77: Double descent: a unification of statistical theory and modern ML practice 19/12/2019
Alignment Newsletter #76: How dataset size affects robustness, and benchmarking safe exploration by measuring constraint violations 04/12/2019
Alignment Newsletter #75: Solving Atari and Go with learned game models, and thoughts from a MIRI employee 27/11/2019
Alignment Newsletter #74: Separating beneficial AI into competence, alignment, and coping with impacts 20/11/2019
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