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#15: Tools, not gods: IBM VP on AI, neuroscience and the nature of intelligence - David Cox
At HumanX, I sat down with Dr. David Cox — the VP for AI models at IBM Research and the IBM Director of the MIT-IBM Watson AI Lab — to dissect those complex, nuanced differences between biological brains and the artificial neural networks behind LLMs, and how it all relates to the pursuit of AGI.
Episode links:
- Neural networks: https://www.ibm.com/think/topics/neural-networks
- Convolutional neural networks: https://www.geeksforgeeks.org/introduction-convolution-neural-network/
- Everything we know about the human brain: https://ny.pbslearningmedia.org/resource/stn15.sci.neuro.colbrain/what-we-still-dont-know-about-the-brain/
- MIT Flywire diagram: https://www.nature.com/immersive/d42859-024-00053-4/index.html
- Language and thought are not the same thing:https://mcgovern.mit.edu/2019/05/02/ask-the-brain-can-we-think-without-language/
- Decoding internal monologues: https://pmc.ncbi.nlm.nih.gov/articles/PMC7252628/
- Anthropic’s anthropomorphization: https://www.thedeepview.co/p/the-public-health-crisis-of-ai
- AGI and existential risk: https://www.thedeepview.co/p/the-nobel-prize-and-the-mainstreaming-of-ai-s-x-risk#4
Outline
0:00 — Intro
2:07 — What is intelligence?
4:36 — How AI boosts our understanding of the brain
8:09 — The differences between neurons and artificial neurons
12:13 — How much do we know — and not know — about biological brains
15:49 — LLMs and the illusion of intelligence
20:07 — Language vs Thought
23:37 — Should we train models not to use the first person?
28:04 — The pursuit of AGI
34:26 — IBM’s model approach
35:49 — AGI is a distraction
40:02 — How big a deal is AI?
45:26 — The risk of the AI brain drain
Get The Deep View — your daily source for in-depth, fact-based reporting on artificial intelligence — in your inbox every morning. Subscribe here! (https://www.thedeepview.co/subscribe)
Connect with us on X, TikTok and Instagram.
Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.
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By The Deep ViewAt HumanX, I sat down with Dr. David Cox — the VP for AI models at IBM Research and the IBM Director of the MIT-IBM Watson AI Lab — to dissect those complex, nuanced differences between biological brains and the artificial neural networks behind LLMs, and how it all relates to the pursuit of AGI.
Episode links:
- Neural networks: https://www.ibm.com/think/topics/neural-networks
- Convolutional neural networks: https://www.geeksforgeeks.org/introduction-convolution-neural-network/
- Everything we know about the human brain: https://ny.pbslearningmedia.org/resource/stn15.sci.neuro.colbrain/what-we-still-dont-know-about-the-brain/
- MIT Flywire diagram: https://www.nature.com/immersive/d42859-024-00053-4/index.html
- Language and thought are not the same thing:https://mcgovern.mit.edu/2019/05/02/ask-the-brain-can-we-think-without-language/
- Decoding internal monologues: https://pmc.ncbi.nlm.nih.gov/articles/PMC7252628/
- Anthropic’s anthropomorphization: https://www.thedeepview.co/p/the-public-health-crisis-of-ai
- AGI and existential risk: https://www.thedeepview.co/p/the-nobel-prize-and-the-mainstreaming-of-ai-s-x-risk#4
Outline
0:00 — Intro
2:07 — What is intelligence?
4:36 — How AI boosts our understanding of the brain
8:09 — The differences between neurons and artificial neurons
12:13 — How much do we know — and not know — about biological brains
15:49 — LLMs and the illusion of intelligence
20:07 — Language vs Thought
23:37 — Should we train models not to use the first person?
28:04 — The pursuit of AGI
34:26 — IBM’s model approach
35:49 — AGI is a distraction
40:02 — How big a deal is AI?
45:26 — The risk of the AI brain drain
Get The Deep View — your daily source for in-depth, fact-based reporting on artificial intelligence — in your inbox every morning. Subscribe here! (https://www.thedeepview.co/subscribe)
Connect with us on X, TikTok and Instagram.
Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.