Alignment Newsletter #173: Recent language model results from DeepMind

Alignment Newsletter #172: Sorry for the long hiatus!

Alignment Newsletter #171: Disagreements between alignment "optimists" and "pessimists"

Alignment Newsletter #170: Analyzing the argument for risk from power-seeking AI

Alignment Newsletter #169: Collaborating with humans without human data

Alignment Newsletter #168: Four technical topics for which Open Phil is soliciting grant proposals

Alignment Newsletter #167: Concrete ML safety problems and their relevance to x-risk

Alignment Newsletter #166: Is it crazy to claim we're in the most important century?

Alignment Newsletter #165: When large models are more likely to lie

Alignment Newsletter #164: How well can language models write code?

Alignment Newsletter #163: Using finite factored sets for causal and temporal inference

Alignment Newsletter #162: Foundation models: a paradigm shift within AI

Alignment Newsletter #161: Creating generalizable reward functions for multiple tasks by learning a model of functional similarity

Alignment Newsletter #160: Building AIs that learn and think like people

Alignment Newsletter #159: Building agents that know how to experiment, by training on procedurally generated games

Alignment Newsletter #158: Should we be optimistic about generalization?

Alignment Newsletter #157: Measuring misalignment in the technology underlying Copilot

Alignment Newsletter #156: The scaling hypothesis: a plan for building AGI

Alignment Newsletter #155: A Minecraft benchmark for algorithms that learn without reward functions

Alignment Newsletter #154: What economic growth theory has to say about transformative AI