Language Models

Applied to [Linkpost] Solving Quantitative Reasoning Problems with Language Models by Yitzi Litt at 16h

Applied to GPT-3 Catching Fish in Morse Code by Megan Kinniment at 1d

Applied to Assessing AlephAlphas Multimodal Model by Ruben Bloom at 3d

Applied to Announcing the Inverse Scaling Prize ($250k Prize Pool) by Ethan Perez at 3d

Applied to Yann LeCun, A Path Towards Autonomous Machine Intelligence [link] by Bill Benzon at 4d

Applied to Conditioning Generative Models by Ruben Bloom at 5d

Applied to Onto the neurolinguistic recursion by ナインペジャポ氏 at 6d

Applied to Causal confusion as an argument against the scaling hypothesis by Robert Kirk at 11d

Applied to Lamda is not an LLM by Vanessa Kosoy at 12d

Applied to Contra Hofstadter on GPT-3 Nonsense by rictic at 16d

Applied to Investigating causal understanding in LLMs by Marius Hobbhahn at 17d

Applied to [linkpost] The final AI benchmark: BIG-bench by RomanS at 21d

Applied to Who models the models that model models? An exploration of GPT-3's in-context model fitting ability by Lovre at 24d

Applied to QNR prospects are important for AI alignment research by Evan R. Murphy at 25d

Applied to Bootstrapping Language Models by Raymond Arnold at 1mo

Applied to Paper: Teaching GPT3 to express uncertainty in words by Owain Evans at 1mo

Applied to RL with KL penalties is better seen as Bayesian inference by Tomek Korbak at 1mo

Applied to A possible check against motivated reasoning using elicit.org by david reinstein at 1mo