
The Salt offers weekly reviews and in-depth analyses of the latest AI papers. If you want to stay informed of recent progress in AI without reading much, The Salt is for you!
| Platform | Pricing | Freemium | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 162 | Founded | 3 years ago | Last Issue | 7 days ago |
| Active | |||||

A quantized model can keep almost the same benchmark score and still behave differently. It can become less confident about a good answer, more willing to try a bad one, or take a different route through a reasoning problem. The final score...
This week, we review:
LatentLoop: Scaling Looped MoE Models with Asymmetric Compute Allocation
Instructions Are Evidence, Not Objectives: Measuring Outcome Alignment of Agents
Interaction-as-a-Judge
The Salt - Curated AI...
This week, we review:
SIGMA: Self-Improving Alignment Generalization from a Model Spec
TRACE: Rollout-Guided Quantization-Aware Training for FP4 Reinforcement Learning of MoE Language Models
Humanity’s Sixth Sense: Benchmarki...
This week, we review:
Schrödinger’s Code Repository: Have LLMs Learned SWE-bench or Memorized It?
Calibration as a First-Class Criterion in LLM Evaluation
Flash-dLLM: IO-Aware KV Caching and Parallel Decoding for Fast, Memory...
This week, we review:
Unlocking Lossless Speedups in LLMs via Discrete Diffusion
Don’t Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference
Random Attention: Rethinking KV Cache Eviction for Effici...
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The writers behind this newsletter.
Research scientist in NLP/AI.
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