True Positive Weekly #113
The most important artificial intelligence and machine learning news and articles
Hey, in this issue: it’s too expensive to fight every AI copyright battle; the hidden bloat in machine learning systems; do LLMs estimate uncertainty well?; a deep dive into memorization in deep learning; RL backlog; an open source alternative to Weights and Biases; mining the potential of multi-modality vision language models; and more.
[Ars Technica] It’s too expensive to fight every AI copyright battle
[Apple] Do LLMs estimate uncertainty well in instruction-following?
A deep dive into memorization in deep learning
RL backlog: OpenAI's many RLs, clarifying distillation, and latent reasoning
Task-Specific LLM evals that do & don't work
[Research] The hidden bloat in machine learning systems
[Project] An open source alternative to Weights and Biases
[Project] Mini-Gemini: Mining the potential of multi-modality vision language models
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