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Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

120 Episodes • By Machine Learning Street Talk (MLST) • podcasters.spotify.com/pod/show/...
Welcome! The team at MLST is inspired by academic research and each week we engage in dynamic discussion with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectu ...more
Technology
Machine Learning Street Talk (MLST)
Machine Learning Street Talk (MLST)
@machinelearningstreettalkmlst
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Decoding the Genome: Unraveling the Complexities with AI and Creativity [Prof. Jim Hughes, Oxford]
Support us! https://www.patreon.com/mlst MLST Disco... more
May 31 2023 42m
AI Creativity Limitations
Chapter 1 2 mins
Introduction and Prof. Jim Hughes' background
Chapter 2 4 mins
Creativity and its role in science
Chapter 3 6 mins
Challenges in understanding the human genome
Chapter 4 2 mins
Using convolutional neural networks to decode genome function
Chapter 5 2 mins
Validation and interpretability concerns in machine learning
Chapter 6 1 min
Challenges in understanding the basic code of life
Chapter 7 2 mins
Morphogenesis, emergence, and potential crossovers into AI
Chapter 8 1 min
Ethics and regulation in genomics and AI
Chapter 9 9 mins
The role of AI in understanding and managing genetic risks
Chapter 10 10 mins
Creativity and diversity in scientific research
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ROBERT MILES - "There is a good chance this kills everyone"
Please check out Numerai - our sponsor @ https://num... more
May 21 2023 2h 1m
Understanding Fundamental Concepts
Chapter 1 2 mins
Intro
Chapter 2 2 mins
Numerai Sponsor Messsage
Chapter 3 13 mins
AI Alignment
Chapter 4 5 mins
Limits of AI Capabilities and Physics
Chapter 5 7 mins
AI Progress and Timelines
Chapter 6 7 mins
AI Arms Race and Innovation
Chapter 7 4 mins
Human-Machine Hybrid Intelligence
Chapter 8 7 mins
Understanding and Defining Intelligence
Chapter 9 13 mins
AI in Conflict and Cooperation with Humans
Chapter 10 2 mins
Interpretability and Mind Reading in AI
Chapter 11 1 min
Mechanistic Interpretability and Deconfusion Research
Chapter 12 2 mins
Understanding the core concepts of AI
Chapter 13 1 min
Moon landing analogy and AI alignment
Chapter 14 4 mins
Cognitive horizon and limits of human intelligence
Chapter 15 2 mins
Funding and focus on AI alignment
Chapter 16 7 mins
Regulating AI technology and potential risks
Chapter 17 2 mins
Aligning AI with human values and its dynamic nature
Chapter 18 3 mins
Cooperation and Allyship
Chapter 19 2 mins
Orthogonality Thesis and Goal Preservation
Chapter 20 55 sec
Anthropomorphic Language and Intelligent Agents
Chapter 21 2 mins
Maintaining Variety and Open-ended Existence
Chapter 22 4 mins
Emergent Abilities of Large Language Models
Chapter 23 5 mins
Convergence vs Emergence
Chapter 24 3 mins
Criticism of X-risk and Alignment Communities
Chapter 25 37 sec
Fusion of AI communities and addressing biases
Chapter 26 53 sec
AI systems integration into society and understanding them
Chapter 27 23 sec
Changing opinions on AI topics and learning from past videos
Chapter 28 3 mins
Utility functions and von Neumann-Morgenstern theorems
Chapter 29 2 mins
AI Safety FAQ project
Chapter 30 1 min
Building a conversation agent using AI safety dataset
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AI Senate Hearing - Executive Summary (Sam Altman, Gary Marcus)
Support us! https://www.patreon.com/mlst MLST Disco... more
May 16 2023 49m
Chapter 1 1 min
Show
Chapter 2 2 mins
Legals
Chapter 3 6 mins
Intro
Chapter 4 3 mins
Altman intro
Chapter 5 4 mins
Christina Montgomery
Chapter 6 4 mins
Gary Marcus
Chapter 7 2 mins
Jobs
Chapter 8 2 mins
Scorecards
Chapter 9 1 min
Harmful content
Chapter 10 1 min
Startups
Chapter 11 32 sec
What meets the definition of harmful?
Chapter 12 4 mins
Moratorium
Chapter 13 10 mins
Social Media
Chapter 14 1 min
Gary's take on BingGPT and pivot into policy
Chapter 15 1 min
Democratisation
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Future of Generative AI [David Foster]
Generative Deep Learning, 2nd Edition [David Foster]... more
May 11 2023 2h 31m
Active Inference and Generative Modeling
Chapter 1 2 mins
Introducing Generative Deep Learning
Chapter 2 4 mins
Model Families in Generative Modeling
Chapter 3 8 mins
Auto Regressive Models and Recurrence
Chapter 4 4 mins
Language and True Intelligence
Chapter 5 3 mins
Language, Reality, and World Models
Chapter 6 4 mins
AI, Human Experience, and Understanding
Chapter 7 6 mins
GPTs Limitations and World Modeling
Chapter 8 2 mins
Task-Independent Modeling and Cybernetic Loop
Chapter 9 2 mins
Collective Intelligence and Emergence
Chapter 10 3 mins
Active Inference vs. Reinforcement Learning
Chapter 11 5 mins
Combining Active Inference with Transformers
Chapter 12 6 mins
Decentralized AI and Collective Intelligence
Chapter 13 3 mins
Regulation and Ethics in AI Development
Chapter 14 52 sec
AI-Generated Content and Copyright Laws
Chapter 15 1 min
Effort, Skill, and AI Models in Copyright
Chapter 16 3 mins
AI Alignment and Scale of AI Models
Chapter 17 7 mins
Democratization of AI: GPT-3 and GPT-4
Chapter 18 4 mins
Context Window Size and Vector Databases
Chapter 19 59 sec
Attention Mechanisms and Hierarchies
Chapter 20 3 mins
Benefits and Limitations of Language Models
Chapter 21 9 mins
AI in Education: Risks and Benefits
Chapter 22 5 mins
AI Tools and Critical Thinking in the Classroom
Chapter 23 12 mins
Impact of Language Models on Assessment and Creativity
Chapter 24 4 mins
Generative AI in Music and Creative Arts
Chapter 25 2 mins
Challenges and Opportunities in Generative Music
Chapter 26 7 mins
AI-Generated Music and Human Emotions
Chapter 27 5 mins
Language Modeling vs. Music Modeling
Chapter 28 5 mins
Democratization of AI and Industry Impact
Chapter 29 1 min
Recursive Self-Improving Superintelligence
Chapter 30 5 mins
AI Technologies: Positive and Negative Impacts
Chapter 31 3 mins
Runaway AGI and Control Over AI
Chapter 32 7 mins
AI Dangers, Cybercrime, and Ethics
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PERPLEXITY AI - The future of search.
https://www.perplexity.ai/ https://www.perplexity.ai... more
May 8 2023 59m
The Exciting Possibilities of Audio Content
Chapter 1 4 mins
Introduction and Background of Perplexity AI
Chapter 2 4 mins
The Importance of a Decluttered UI and User Experience
Chapter 3 9 mins
Advertising in Search Engines and Potential Improvements
Chapter 4 3 mins
Challenges and Opportunities in this new Search Modality
Chapter 5 5 mins
Benefits of Perplexity and Personalized Learning
Chapter 6 4 mins
Objective Truth and Personalized Wikipedia
Chapter 7 6 mins
Opinions and Truth in Answer Engines
Chapter 8 2 mins
Embracing the Digital Society with Language Models
Chapter 9 2 mins
Impact on Jobs and Future of Learning
Chapter 10 1 min
Educating users on when perplexity works and doesn't work
Chapter 11 4 mins
Improving user experience and the possibilities of voice-to-voice interaction
Chapter 12 2 mins
The future of language models and auto-regressive models
Chapter 13 3 mins
Performance of GPT-4 and potential improvements
Chapter 14 2 mins
Building the ultimate research and knowledge assistant
Chapter 15 1 min
Revolutionizing note-taking and personal knowledge stores
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#114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)
Patreon: https://www.patreon.com/mlst Discord: https... more
Apr 16 2023 2h 47m
Emergent Behavior in Collective Intelligences
Chapter 1 3 mins
Tech & Startup Background
Chapter 2 7 mins
Pursuing PhD in Deep RL
Chapter 3 56 sec
Startup Lessons
Chapter 4 6 mins
Serendipity vs Planning
Chapter 5 3 mins
Objectives & Decision Making
Chapter 6 3 mins
Minimax Regret & Uncertainty
Chapter 7 7 mins
Robustness in RL & Zero-Sum Games
Chapter 8 7 mins
RL vs Supervised Learning
Chapter 9 5 mins
Exploration & Intelligence
Chapter 10 7 mins
Environment, Emergence, Abstraction
Chapter 11 10 mins
Open-endedness & Intelligence Explosion
Chapter 12 11 mins
Language Models & Training Data
Chapter 13 10 mins
RLHF & Language Models
Chapter 14 13 mins
Creativity in Language Models
Chapter 15 4 mins
Limitations of RL
Chapter 16 3 mins
Software 2.0 & Interpretability
Chapter 17 3 mins
Language Models & Code Reliability
Chapter 18 4 mins
Robust Prioritized Level Replay
Chapter 19 12 mins
Open-ended Learning
Chapter 20 22 mins
Auto-curriculum & Deep RL
Chapter 21 5 mins
Robotics & Open-ended Learning
Chapter 22 5 mins
Learning Potential & MDPs
Chapter 23 45 sec
Universal Function Space
Chapter 24 1 min
Goal-Directed Learning & Auto-Curricula
Chapter 25 2 mins
Advice & Closing Thoughts
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Unlocking the Brain's Mysteries: Chris Eliasmith on Spiking Neural Networks and the Future of Human-Machine Interac...
Patreon: https://www.patreon.com/mlst Discord: https... more
Apr 10 2023 1h 49m
Exploring Neural Computation With Resource Constraints
Chapter 1 6 mins
Intro to Chris
Chapter 2 7 mins
The Advantages of Continuous Representation in Biologically Plausible Neural Networks
Chapter 3 5 mins
Legendre Memory Unit and Spatial Semantic Pointer
Chapter 4 4 mins
Exploring the Relevance of Large Contexts and Data in Language Models
Chapter 5 5 mins
Spatial Semantic Pointers and Continuous Representations in Vector Spaces
Chapter 6 6 mins
Understanding the Intuition Behind Auto Convolution
Chapter 7 6 mins
Exploring Abstractions and the Continuity in Cognitive Representations
Chapter 8 5 mins
Exploring Compression, Sparsity, and Representations in the Brain
Chapter 9 8 mins
Addressing Continual Learning and Real-World Interactions in Brain Models
Chapter 10 4 mins
Robust Generalization in Large Language Models and the Role of Priors in Learning Emergentist Frameworks
Chapter 11 3 mins
Chip design
Chapter 12 9 mins
Debating the Computational Power of Neural Networks and Recursion
Chapter 13 9 mins
Understanding Spiking Neural Networks and Their Applications in a Perfect World
Chapter 14 2 mins
Limits of empirical learning
Chapter 15 15 mins
Philosophy of mind, consciousness etc
Chapter 16 3 mins
Future of human machine interaction
Chapter 17 4 mins
Future research and advice to young researchers
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#112 AVOIDING AGI APOCALYPSE - CONNOR LEAHY
Support us! https://www.patreon.com/mlst MLST Disco... more
Apr 2 2023 2h 40m
The Challenges of Predicting System Power
Chapter 1 15 mins
The success of ChatGPT and its impact on the AI field
Chapter 2 2 mins
Subjective experience
Chapter 3 13 mins
AI Architectural discussion including RLHF
Chapter 4 4 mins
The paradox of AI alignment and the future of AI in society
Chapter 5 9 mins
The impact of AI on society and politics
Chapter 6 2 mins
Future shock levels and the challenges of predicting the future
Chapter 7 5 mins
Long termism and existential risk
Chapter 8 13 mins
Consequentialism vs. deontology in rationalism
Chapter 9 6 mins
The Rationalist Community and its Challenges
Chapter 10 2 mins
AI Alignment and Conjecture
Chapter 11 3 mins
Orthogonality Thesis and AI Preferences
Chapter 12 4 mins
Challenges in AI Alignment
Chapter 13 6 mins
Mechanistic Interpretability in Neural Networks
Chapter 14 3 mins
Building Cleaner Neural Networks
Chapter 15 4 mins
Cognitive horizons / The problem with rapid AI development
Chapter 16 6 mins
Founding Conjecture and raising funds
Chapter 17 6 mins
Inefficiencies in the market and seizing opportunities
Chapter 18 3 mins
Charisma, authenticity, and leadership in startups
Chapter 19 6 mins
Autistic culture and empathy
Chapter 20 5 mins
Learning from real-world experiences
Chapter 21 8 mins
Technical empathy and transhumanism
Chapter 22 2 mins
Moral status and the limits of empathy
Chapter 23 2 mins
Anthropomorphic Thinking and Consequentialism
Chapter 24 10 mins
Conjecture: Balancing Research and Product Development
Chapter 25 5 mins
Epistemology Team at Conjecture
Chapter 26 2 mins
Interpretability and Deception in AGI
Chapter 27 1 min
Futuristic whack-a-mole and predicting AGI threats
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#111 - AI moratorium, Eliezer Yudkowsky, AGI risk etc
Support us! https://www.patreon.com/mlst MLST Disco... more
Apr 1 2023 27m
Risks of AI Control
Chapter 1 16 mins
The Human Consequences of AI Deployment
Chapter 2 10 mins
Debating the Moratorium on AI Development
Chapter 3 35 sec
Join Discord & Support Us
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#110 Dr. STEPHEN WOLFRAM - HUGE ChatGPT+Wolfram announcement!
HUGE ANNOUNCEMENT, CHATGPT+WOLFRAM! You saw it HERE ... more
Mar 23 2023 57m
The Surprising Complexity of Simple Rules
Chapter 1 2 mins
Intro
Chapter 2 2 mins
Big announcement! Wolfram + ChatGPT!
Chapter 3 8 mins
What does it mean to understand?
Chapter 4 6 mins
Feeding information back into the model
Chapter 5 3 mins
Semantics and cognitive categories
Chapter 6 7 mins
Navigating the ruliad
Chapter 7 7 mins
Computational irreducibility
Chapter 8 4 mins
Conceivability and interestingness
Chapter 9 13 mins
Human intelligible sciences
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#109 - Dr. DAN MCQUILLAN - Resisting AI
YT version: https://youtu.be/P1j3VoKBxbc (references... more
Mar 20 2023 2h 51m
Humans vs Machines
Chapter 1 3 mins
Dan's background and journey to academia
Chapter 2 39 sec
Dan's background and journey to academia
Chapter 3 4 mins
Writing the book "Resisting AI&quot
Chapter 4 1 min
Necropolitics and its relation to AI
Chapter 5 2 mins
AI as a new form of colonization
Chapter 6 2 mins
LLMs as a new form of neo-techno-imperialism
Chapter 7 2 mins
Technology for good and AGI's skewed worldview
Chapter 8 2 mins
Transhumanism, eugenics, and intelligence
Chapter 9 5 mins
Valuing differences (disability) and challenging societal norms
Chapter 10 2 mins
Re-ontologizing and the philosophy of information
Chapter 11 2 mins
New materialism and the impact of technology on society
Chapter 12 1 min
Intelligence, meaning, and materiality
Chapter 13 1 min
The constraints of physical laws and the importance of science
Chapter 14 44 sec
Exploring possibilities to reduce suffering and increase well-being
Chapter 15 2 mins
The division between meaning and material in our experiences
Chapter 16 2 mins
Machine learning, data science, and neoplatonic approach to understanding reality
Chapter 17 1 min
Different understandings of cognition, thought, and consciousness
Chapter 18 1 min
Enactivism and its variants in cognitive science
Chapter 19 3 mins
Jordan Peterson
Chapter 20 2 mins
Relationism, relativism, and finding the correct relational framework
Chapter 21 1 min
Recognizing privilege and its impact on social interactions
Chapter 22 2 mins
Intersectionality / Feminist thinking and the concept of care in social structures
Chapter 23 2 mins
Intersectionality and its role in understanding social inequalities
Chapter 24 3 mins
The entanglement of history, technology, and politics
Chapter 25 2 mins
ChatGPT article we come to bury ChatGPT
Chapter 26 1 min
Statistical pattern learning and convincing patterns in AI
Chapter 27 1 min
Anthropomorphization and understanding in AI
Chapter 28 2 mins
AI in education and critical thinking
Chapter 29 1 min
European Union policies and trustable AI
Chapter 30 1 min
AI reliability and the halo effect
Chapter 31 4 mins
AI as a tool enmeshed in society
Chapter 32 1 min
Luddites
Chapter 33 14 sec
AI is a scam
Chapter 34 1 min
AI and Social Relations
Chapter 35 4 mins
Invisible Labor in AI and Machine Learning
Chapter 36 2 mins
Exploititative AI / alignment
Chapter 37 3 mins
Science fiction AI / moral frameworks
Chapter 38 3 mins
Discussing Stochastic Parrots and Nihilism
Chapter 39 1 min
Human Intelligence vs. Language Models
Chapter 40 2 mins
Image Recognition and Emulation vs. Experience
Chapter 41 6 mins
Thought Experiments and Philosophy in AI Ethics (mimicry)
Chapter 42 1 min
Abstraction, reduction, and grounding in reality
Chapter 43 6 mins
Process philosophy and the possibility of change
Chapter 44 34 sec
Mental health, AI, and epistemic injustice
Chapter 45 3 mins
Hermeneutic injustice and gendered techniques
Chapter 46 5 mins
AI and politics
Chapter 47 12 mins
Epistemic injustice and testimonial injustice
Chapter 48 1 min
Fascism and AI discussion
Chapter 49 3 mins
Violence in various systems
Chapter 50 5 mins
Recognizing systemic violence
Chapter 51 10 mins
Fascism in Today's Society
Chapter 52 4 mins
Pace and Scale of Technological Change
Chapter 53 6 mins
Alternative approaches to AI and society
Chapter 54 6 mins
Self-Organization at Successive Scales / cybernetics
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#108 - Dr. JOEL LEHMAN - Machine Love [Staff Favourite]
Support us! https://www.patreon.com/mlst   MLST... more
Mar 16 2023 2h 9m
Finding Balance in Human Innovation
Chapter 1 4 mins
Intro
Chapter 2 4 mins
Model
Chapter 3 7 mins
Intro and Paper Intro
Chapter 4 3 mins
Subjectivity
Chapter 5 9 mins
Reflections on Greatness Book
Chapter 6 2 mins
Representing Subjectivity
Chapter 7 7 mins
Nagal's Bat
Chapter 8 3 mins
Abstraction
Chapter 9 14 mins
Love as Action Rather Than Feeling
Chapter 10 6 mins
Reontologisation
Chapter 11 4 mins
Self Help
Chapter 12 7 mins
Meditation
Chapter 13 11 mins
The Human Reward Function / Effective...
Chapter 14 3 mins
Machine Hate
Chapter 15 24 mins
Societal Harms
Chapter 16 6 mins
Lenses We Use Obscuring Reality
Chapter 17 3 mins
Meta Optimisation and Evolution
Chapter 18 2 mins
Conclusion
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#107 - Dr. RAPHAËL MILLIÈRE - Linguistics, Theory of Mind, Grounding
Support us! https://www.patreon.com/mlst MLST Discor... more
Mar 13 2023 1h 43m
Referential vs Inferential Lexical Semantic Competence
Chapter 1 1 min
Intro to Raphael
Chapter 2 5 mins
Intro: Moving Beyond Mimicry in Artificial Intelligence (Raphael Millière)
Chapter 3 1 min
Show Kick off
Chapter 4 9 mins
LLMs
Chapter 5 11 mins
Semantic Competence/Understanding
Chapter 6 7 mins
Forming Analogies/JPG Compression Article
Chapter 7 9 mins
Compositional Generalisation
Chapter 8 4 mins
Systematicity
Chapter 9 6 mins
Language of Thought
Chapter 10 13 mins
Bigbench (Conceptual Combinations)
Chapter 11 15 mins
Symbol Grounding
Chapter 12 4 mins
World Models
Chapter 13 12 mins
Theory of Mind
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#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]
This show is sponsored by Numerai, please visit them... more
Mar 11 2023 2h 59m
Exploring the World of Distributed Intelligence
Chapter 1 7 mins
Intro
Chapter 2 2 mins
Numerai (Sponsor segment)
Chapter 3 8 mins
Designing Ecosystems of Intelligence from First Principles (Friston et al)
Chapter 4 13 mins
Information / Infosphere and human agency
Chapter 5 7 mins
Intelligence
Chapter 6 5 mins
Reductionism
Chapter 7 9 mins
Universalism
Chapter 8 7 mins
Emergence
Chapter 9 20 mins
Markov blankets
Chapter 10 6 mins
Whole part relationships / structure learning
Chapter 11 14 mins
Enactivism
Chapter 12 7 mins
Knowledge and Language
Chapter 13 16 mins
ChatGPT
Chapter 14 27 mins
Ethics (is-ought)
Chapter 15 3 mins
Can people be evil?
Chapter 16 17 mins
Ethics in Al, subjectiveness
Chapter 17 2 mins
Final thoughts
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#105 - Dr. MICHAEL OLIVER [CSO - Numerai]
Access Numerai here: http://numer.ai/mlst Michael O... more
Mar 4 2023 1h 20m
Cross-Field Machine Learning Techniques
Chapter 1 2 mins
Introduction to Michael and Numerai
Chapter 2 20 mins
Understanding / new Bing
Chapter 3 13 mins
Quant vs Neuroscience
Chapter 4 9 mins
Role of language in cognition and planning, and subjective...&nbsp
Chapter 5 2 mins
Boundaries in finance modelling
Chapter 6 9 mins
Numerai
Chapter 7 3 mins
Aggregation systems
Chapter 8 2 mins
Getting started on Numeral
Chapter 9 1 min
What models are people using
Chapter 10 1 min
Numerai Problem Setup
Chapter 11 5 mins
Regimes in financial data and quant talk
Chapter 12 2 mins
Esoteric approaches used on Numeral?
Chapter 13 2 mins
nbsp;Curse of dimensionality
Chapter 14 2 mins
Metrics
Chapter 15 1 min
Outro
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#104 - Prof. CHRIS SUMMERFIELD - Natural General Intelligence [SPECIAL EDITION]
Support us! https://www.patreon.com/mlst   MLST... more
Feb 22 2023 1h 28m
The Role of Neuroscience in AI
Chapter 1 4 mins
Walk and talk with Chris on Knowledge and Abstractions
Chapter 2 1 min
Intro to Chris and his book
Chapter 3 3 mins
(Intro) Tim reads Chapter 2: Intelligence&nbsp
Chapter 4 6 mins
Intro continued: Goodhart's law
Chapter 5 4 mins
Intro continued: The "swiss cheese" situation &nbsp
Chapter 6 3 mins
Intro continued: On Human Knowledge
Chapter 7 6 mins
Intro continued: Neats and Scruffies
Chapter 8 1 min
Interview kick off&nbsp
Chapter 9 4 mins
What does it mean to understand?
Chapter 10 3 mins
Aligning our language models
Chapter 11 1 min
Creativity&nbsp
Chapter 12 9 mins
"Meta" AI and basins of attraction&nbsp
Chapter 13 3 mins
What can Neuroscience impart to AI
Chapter 14 7 mins
Sutton, neats and scruffies and human alignment
Chapter 15 17 mins
Reward is enough
Chapter 16 4 mins
Jon Von Neumann and Intelligence
Chapter 17 4 mins
Compositionality
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#102 - Prof. MICHAEL LEVIN, Prof. IRINA RISH - Emergence, Intelligence, Transhumanism
Support us! https://www.patreon.com/mlst MLST Discor... more
Feb 11 2023 55m
Chapter 1 11 mins
Emergence
Chapter 2 9 mins
Scaling Laws
Chapter 3 21 mins
Intelligence
Chapter 4 10 mins
Transhumanism
Chapter 5 2 mins
Introduction
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#103 - Prof. Edward Grefenstette - Language, Semantics, Philosophy
Support us! https://www.patreon.com/mlst  MLST ... more
Feb 11 2023 1h 1m
A Spectrum of Intelligence
Chapter 1 2 mins
Introduction
Chapter 2 4 mins
Differential Semantics
Chapter 3 3 mins
Concepts
Chapter 4 3 mins
Ontology
Chapter 5 2 mins
Pragmatics
Chapter 6 2 mins
Code helps with language
Chapter 7 3 mins
Montague
Chapter 8 9 mins
RLHF
Chapter 9 5 mins
Swiss cheese problem / retrieval augmented
Chapter 10 6 mins
Intelligence / Agency
Chapter 11 3 mins
Creativity
Chapter 12 7 mins
Common sense
Chapter 13 8 mins
Thinking vs knowing
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#101 DR. WALID SABA - Extrapolation, Vagueness and Behaviorism
MLST Discord! https://discord.gg/aNPkGUQtc5 Patreon:... more
Feb 10 2023 1h 38m
Rich and Not Rich Boundary
Chapter 1 57 sec
Intro
Chapter 2 23 mins
Interpolation vs Extrapolation
Chapter 3 7 mins
Type 1 Type 2 generalisation and compositionality / Fodor / Systematicity
Chapter 4 4 mins
Keith's brain teaser
Chapter 5 13 mins
Neural turing machines / discrete vs continuous / learnability
Chapter 6 16 mins
Part 2:Vagueness
Chapter 7 13 mins
Concepts grounded in language
Chapter 8 18 mins
Behaviorism / thinking / reward is enough
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#100 Dr. PATRICK LEWIS (co:here) - Retrieval Augmented Generation
Dr. Patrick Lewis is a London-based AI and Natural L... more
Feb 10 2023 26m
The Evolving Universe of Design Models
Chapter 1 11 mins
Exploring Retrieval-Augmented Generation in AI Research
Chapter 2 15 mins
Exploring Document Retrieval
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#99 - CARLA CREMER & IGOR KRAWCZUK - X-Risk, Governance, Effective Altruism
YT version (with references): https://www.youtube.co... more
Feb 5 2023 1h 39m
Democratizing Risk Analysis
Chapter 1 11 mins
Introduction: Vox article and effective altruism / FTX
Chapter 2 4 mins
Luciano Floridi on Governance and Risk
Chapter 3 5 mins
Connor Leahy on alignment
Chapter 4 2 mins
Ethan Caballero on scaling
Chapter 5 7 mins
Alignment, Values and politics
Chapter 6 11 mins
Singularitarians vs AI-thiests
Chapter 7 4 mins
Consequentialism
Chapter 8 5 mins
Does scale make a difference?
Chapter 9 12 mins
Carla's Democratising risk paper
Chapter 10 16 mins
Vox article How effective altruists ignored risk
Chapter 11 9 mins
Does diversity breed complexity?
Chapter 12 5 mins
Collective rationality
Chapter 13 4 mins
Closing statements
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#98 - Prof. LUCIANO FLORIDI - ChatGPT, Superintelligence, Ethics, Philosophy of Information
Support us! https://www.patreon.com/mlst MLST Discor... more
Feb 3 2023 1h 6m
Syntactic Engines vs Human Intelligence
Chapter 1 14 mins
Introduction to Luciano and his ideas
Chapter 2 25 sec
(If music annoying, skip to main interview @
Chapter 3 14 mins
Chat GPT / language models
Chapter 4 1 min
AI risk / "Singularitarians"&nbsp
Chapter 5 26 mins
Re-ontologising the world
Chapter 6 7 mins
It from bit and Computationalism and philosophy without purpose
Chapter 7 3 mins
Getting into Digital Ethics
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[NO MUSIC] #98 - Prof. LUCIANO FLORIDI - ChatGPT, Singularitarians, Ethics, Philosophy of Information
Support us! https://www.patreon.com/mlst MLST Discor... more
Feb 3 2023 1h 6m
Separating Agency and Intelligence
Chapter 1 13 mins
Introduction to Luciano and his ideas
Chapter 2 14 mins
Chat GPT / language models
Chapter 3 8 mins
AI risk / "Singularitarians"&nbsp
Chapter 4 6 mins
Forms of governance
Chapter 5 11 mins
Re-ontologising the world
Chapter 6 7 mins
It from bit and Computationalism and philosophy without purpose
Chapter 7 3 mins
Getting into Digital Ethics
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#97 SREEJAN KUMAR - Human Inductive Biases in Machines from Language
Research has shown that humans possess strong induct... more
Jan 28 2023 24m
Chapter 1
Exploring Human-Like Inductive Biases in AI
Chapter 2 13 mins
Collaborating With Human-Like Machines
Chapter 3 6 mins
Inductive Biases in Machines
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#96 Prof. PEDRO DOMINGOS - There are no infinities, utility functions, neurosymbolic
Pedro Domingos, Professor Emeritus of Computer Scien... more
Dec 30 2022 2h 49m
Creativity, Compositionality, and Intelligence
Chapter 1 1 min
Introduction
Chapter 2 10 mins
Galaxtica / misinformation / gatekeeping
Chapter 3 3 mins
Is there a master algorithm?
Chapter 4 5 mins
Limits of our understanding&nbsp
Chapter 5 5 mins
Intentionality, Agency, Creativity
Chapter 6 1 min
Compositionality&nbsp
Chapter 7 5 mins
Digital Physics / It from bit / Wolfram&nbsp
Chapter 8 8 mins
Alignment / Utility functions
Chapter 9 2 mins
Meritocracy &nbsp
Chapter 10 14 mins
Game theory&nbsp
Chapter 11 11 mins
EA/consequentialism/Utility
Chapter 12 8 mins
Emergence / relationalism&nbsp
Chapter 13 6 mins
Markov logic&nbsp
Chapter 14 3 mins
Moving away from anthropocentrism&nbsp
Chapter 15 24 mins
Neurosymbolic / infinity / tensor algerbra
Chapter 16 3 mins
Abstraction
Chapter 17 5 mins
Symmetries / Geometric DL
Chapter 18 3 mins
Bias variance trade off&nbsp
Chapter 19 7 mins
What seen at neurips
Chapter 20 15 mins
Chalmers talk on LLMs
Chapter 21 4 mins
Definition of intelligence
Chapter 22 2 mins
LLMs&nbsp
Chapter 23 5 mins
On experts in different fields
Chapter 24 1 min
Back to intelligence
Chapter 25 7 mins
Spline theory / extrapolation
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