Dexa/Machine Learning Street Talk (MLST)

Published Jan 25, 2025

Nicholas Carlini (Google DeepMind)

Nicholas Carlini from Google DeepMind delves into the fascinating capabilities of large language models in understanding complex tasks like chess, explores AI security threats such as model theft and vulnerabilities in AI-generated code, and highlights the transformative potential of these models for productivity when their intricacies are well-understood.

Episode Highlights

Topics covered

Questions from this episode

- Will large language models scale all the way to artificial general intelligence (AGI)?
  Asked by 196 people
- Tell me something about artificial intelligence
  Asked by 181 people
- What has been said about artificial intelligence?
  Asked by 140 people
- What are the implications for artificial intelligence?
  Asked by 128 people
- Are concerns about artificial intelligence valid?
  Asked by 76 people
- Can you give more examples of large language model applications in relation to the episode Stephen Wolfram: ChatGPT and the Nature of Truth, Reality & Computation | Lex Fridman Podcast #376 and the clip Computational Language Insights?
  Asked by 61 people
- What are the potential threats of AI?
  Asked by 50 people
- What motivates machine learning researchers?
  Asked by 41 people
- How is machine learning evolving?
  Asked by 40 people
- What are the most recent developments and trends in AI, large language models (LLMs), retrieval-augmented generation (RAG), etc., as discussed in the episode #159 - Inflection-2.5, Devin, OpenAI board update, SIMA, EU AI Act passed and the clip Cohere's Command R?
  Asked by 39 people
- What's next in large language models (LLMs)?
  Asked by 38 people
- What techniques are used with large language models (LLMs)?
  Asked by 33 people
- What are some applications of language models?
  Asked by 32 people
- Tell me something unique about large language models in the context of the episode Stephen Wolfram: ChatGPT and the Nature of Truth, Reality & Computation | Lex Fridman Podcast #376 and the clip Language Model Limitations
  Asked by 29 people
- Tell me something unique about large language models
  Asked by 24 people

Episode Highlights

Related Episodes

#040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)
Answers 383 questions
#48 Machine Learning Security - Andy Smith
Answers 383 questions
How Do AI Models Actually Think? - Laura Ruis
Answers 383 questions
#83 Dr. ANDREW LAMPINEN (Deepmind) - Natural Language, Symbols and Grounding [NEURIPS2022 UNPLUGGED]
Answers 383 questions
Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners
Answers 383 questions
Prof. Subbarao Kambhampati - LLMs don't reason, they memorize (ICML2024 2/13)
Answers 383 questions
Gary Marcus' keynote at AGI-24
Answers 383 questions
Dr. Paul Lessard - Categorical/Structured Deep Learning
Answers 383 questions
Jürgen Schmidhuber - Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs
Answers 383 questions
#92 - SARA HOOKER - Fairness, Interpretability, Language Models
Answers 383 questions
#114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)
Answers 383 questions
061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)
Answers 383 questions
Pattern Recognition vs True Intelligence - Francois Chollet
Answers 383 questions
#51 Francois Chollet - Intelligence and Generalisation
Answers 383 questions
#85 Dr. Petar Veličković (Deepmind) - Categories, Graphs, Reasoning [NEURIPS22 UNPLUGGED]
Answers 383 questions