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PODCAST

Mechanical Dreams

An automatically generated podcast about machine learning and natural language processing. The two fictional hosts talk about papers that I want to learn more about on my way to work.It"s not good, but it"s useful.

All Episodes

17:11
The Quantization Model of Neural Scaling
Mechanical Dreams ·
2026/01/15
en-us
17:52
EAGLE-3
Mechanical Dreams ·
2026/01/14
en-us
17:35
Engram Paper
Mechanical Dreams ·
2026/01/12
en-us
19:55
From Entropy to Epiplexity- Rethinking Information...
Mechanical Dreams ·
2026/01/09
en-us
19:42
Completed Hyperparameter Transfer across Modules,...
Mechanical Dreams ·
2026/01/08
en-us
19:08
NorMuon- Making Muon more efficient and scalable
Mechanical Dreams ·
2026/01/07
en-us
18:40
Dion- Distributed Orthonormalized Updates
Mechanical Dreams ·
2026/01/06
en-us
20:01
How Learning Rate Decay Wastes Your Best Data in...
Mechanical Dreams ·
2026/01/06
en-us
12:25
Latent State Models of Training Dynamics
Mechanical Dreams ·
2025/10/28
en-us
13:59
DeepSeek OCR
Mechanical Dreams ·
2025/10/24
en-us
15:18
The Coverage Principle - How Pre-training Enables...
Mechanical Dreams ·
2025/10/23
en-us
13:33
Continual Learning via Sparse Memory Finetuning
Mechanical Dreams ·
2025/10/22
en-us
11:56
Untitled Episode
Mechanical Dreams ·
2025/10/10
en-us
13:44
Characterization and Mitigation of Training...
Mechanical Dreams ·
2025/10/08
en-us
14:19
Demystifying Synthetic Data in LLM Pre-training- A...
Mechanical Dreams ·
2025/10/07
en-us
13:09
Data Mixing Can Induce Phase Transitions in Knowledge...
Mechanical Dreams ·
2025/10/06
en-us
13:10
Apertus Tech Report
Mechanical Dreams ·
2025/09/21
en-us
14:46
Learning Facts at Scale with Active Reading
Mechanical Dreams ·
2025/09/20
en-us
13:50
Fantastic Pretraining Optimizers and Where to Find Them
Mechanical Dreams ·
2025/09/19
en-us
16:17
Benchmarking Optimizers for Large Language Model...
Mechanical Dreams ·
2025/09/19
en-us
99 results

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