Podcasts created with NotebookLM

AI 2027
30:56
AI 2027
High Agency
18:35
High Agency
Agency Is Eating The World
10:11
Agency Is Eating The World
AlphaEvolve: A coding agent for scientific and algorithmic discovery
18:58
AlphaEvolve: A coding agent for scientific and algorithmic discovery
Diagnosing Declining Pharmaceutical R&D Efficiency
20:22
Diagnosing Declining Pharmaceutical R&D Efficiency
Interpreting Claude 3 Sonnet Features
33:59
Interpreting Claude 3 Sonnet Features
Introduction to Transformer Neural Networks
21:14
Introduction to Transformer Neural Networks
ALCUNA: Large Language Models Meet New Knowledge
14:19
ALCUNA: Large Language Models Meet New Knowledge
Zephyr: Direct Distillation of LM Alignment
16:47
Zephyr: Direct Distillation of LM Alignment
GPipe: Easy Scaling with Micro Batch Pipeline Parallelism
26:00
GPipe: Easy Scaling with Micro Batch Pipeline Parallelism
Variational Lossy Autoencoder
17:27
Variational Lossy Autoencoder
Understanding LSTM Networks
16:33
Understanding LSTM Networks
The Unreasonable Effectiveness of Recurrent Neural Networks
19:02
The Unreasonable Effectiveness of Recurrent Neural Networks
The Perils & Promises of Fact-checking with Large Language Models
17:47
The Perils & Promises of Fact-checking with Large Language Models
The First Law of Complexodynamics
16:20
The First Law of Complexodynamics
Keeping Neural Networks Simple by Minimizing the Description Length of the Weights
15:37
Keeping Neural Networks Simple by Minimizing the Description Length of the Weights
Scaling Laws of Neural Language Models
11:30
Scaling Laws of Neural Language Models
Retrieval-Augmented Generation for Knowledge Intensive NLP Tasks
25:01
Retrieval-Augmented Generation for Knowledge Intensive NLP Tasks
Relational Recurrent Neural Networks
14:46
Relational Recurrent Neural Networks
Recurrent Neural Network Regularization
12:24
Recurrent Neural Network Regularization
Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton
15:39
Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton
Precise Zero Shot Dense Retrieval Without Relevance Labels
18:57
Precise Zero Shot Dense Retrieval Without Relevance Labels
Pointer Networks
10:43
Pointer Networks
Order Matters: Sequence to Sequence for Sets
20:26
Order Matters: Sequence to Sequence for Sets
Neural Message Passing for Quantum Chemistry
21:25
Neural Message Passing for Quantum Chemistry
Neural Turing Machines
22:06
Neural Turing Machines
Neural Machine Translation by Jointly Learning to Align and Translate
18:36
Neural Machine Translation by Jointly Learning to Align and Translate
Better & Faster Large Language Models via Multi-token Prediction
25:07
Better & Faster Large Language Models via Multi-token Prediction
Multi-Scale Context Aggregation by Dilated Convolutions
20:18
Multi-Scale Context Aggregation by Dilated Convolutions
Machine Super Intelligence
23:52
Machine Super Intelligence