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The Salt - Curated AI

Benjamin Marie
Hundreds of paid subscribers

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
Substack
PricingFreemiumPublishesWeekly
Issues162Founded3 years agoLast Issue7 days ago
Active

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thesalt.substack.com
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Latest Issues

Statistically Lossless Quantization: How much of your model survives quantization

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...

7 days ago
5
3

Looped Transformers and Interactive Evaluation

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...

9 days ago
1

Alignment Generalization, FP4 Rollouts, and Residual Memory

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...

17 days ago
3

Benchmark Reliability, Faster Diffusion, and Harness Distillation

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...

a month ago
3

Lossless Diffusion Speedups, Random Attention, and One-Shot Distillation

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...

2 months ago
2

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    Research scientist in NLP/AI.

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