I sat down with Dr. Aaron Andalman, the Chief Science Officer and co-founder of Cognitiv. Andalman holds a PhD in neuroscience, and so today, we’re breaking down the gaps, connections and inspirations between AI and neuroscience; all the things we’ve learned and the many things we still don’t know.

Episode links:

• The giant squid: https://medium.com/the-quantastic-journal/from-squids-to-ai-how-neuroscience-and-physics-sparked-a-technological-revolution-06d8c291717c
• Neuroscience and AI: https://neuroscience.stanford.edu/news/neuroscience-and-ai-what-artificial-intelligence-teaches-us-about-brain-and-vice-versa
• The specter of AGI: https://www.thedeepview.co/p/how-big-tech-is-using-the-ai-race-and-the-specter-of-agi-to-cement-its-power-agi-openai-google
• Scale it up: https://www.thedeepview.co/p/progress-predictions-2025-robots-avs-and-technical-advancements
• Animal intelligence: https://www.discovermagazine.com/planet-earth/how-intelligence-is-measured-in-the-animal-kingdom

Outline

0:00 – Intro

1:45 – The roots of AI
7:12 – The different types of intelligence

12:05 – Neural networks VS artificial neural networks

19:19 – Efficiency in intelligence

23:51 – Why pursue AGI at all?
28:44 – Reinforcement learning in machines VS animals

35:25 – Advancements in one, advancements in the other

43:46 – Being curious in the age of AI

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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.

I sat down with Brad Zamft, the co-founder and CEO of Heritable Agriculture, to take a deep dive into all the science (both biology and computer science) behind the effort to program plants, why it’s needed and what impacts it might have.

Episode links:

• Heritable Agriculture: https://heritable.ag/
• Heritable goes after indoor strawberries: https://heritable.ag/heritable-strawberries
• The sustainability threat of farming: https://vlsci.com/blog/top-issues-in-agriculture-2024/ ; https://www.epa.gov/climateimpacts/climate-change-impacts-agriculture-and-food-supply
• The risks of monoculture and monocropping: https://foodrevolution.org/blog/monocropping-monoculture/
• The promise of regenerative agriculture: https://theclimatecenter.org/our-work/research/report-the-promise-of-regenerative-agriculture/
• Farming resiliency in the face of climate change: https://sustainability.mit.edu/article/making-agriculture-more-resilient-climate-change

Outline

0:00 – Intro

2:18 – Brad’s journey to Heritable Agriculture

9:29 – Why we need programmable plants

14:23 – Challenges of biology

19:38 – Validating the models

22:14 – How does this all physically work?

31:05 – The challenge of adjusting 2 billion years of evolutionary success

34:48 – The risks of AI cracking plant DNA

39:50 – Regenerative Agriculture and tuning for resiliency in the face of climate change

47:53 – How farmers view the approach

51:59 – Tree adjustments

56:28 – The future outlook

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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.

I sat down with Dr. Nada Sanders, a distinguished professor of supply chain management at Northeastern University, to better understand the impact that tariffs and a trade war could have on the business and field of AI.

Episode Links:

• The semiconductor pipeline: https://datacenterpost.com/ais-hardware-hunger-the-global-semiconductor-supply-chain-under-pressure/
• The latest on the tariffs and trade war: https://www.bbc.com/news/articles/c62z54gwd22o
• Nvidia’s US push: https://www.thedeepview.co/p/nvidia-to-produce-500-billion-worth-of-supercomputers-in-the-u-s-for-the-first-time
• Apple’s US push: https://www.apple.com/newsroom/2025/02/apple-will-spend-more-than-500-billion-usd-in-the-us-over-the-next-four-years/

Outline:
0:00 – Intro
4:09 – The vulnerability of the AI supply chain
19:13 – Is it realistic to bring production back to the US?
27:31 – Innovation could plateau
34:04 – The challenge of navigating uncertainty, even if the tariffs come off

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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.

I sat down with Dr. Eric Sydell, the founder and CEO of Vero AI, to break down the challenges of oversight, governance and compliance — and the techno-utopia on the horizon — and the ways in which AI can help, hurt, and generally, disrupt everything.

Episode links:

• Ethan Molick: https://www.linkedin.com/posts/emollick_if-ai-development-stopped-this-week-we-would-activity-7272747981752176640-nTKX/
• What even is AI: https://www.ibm.com/think/topics/artificial-intelligence
• Sam Altman says we must regulate AI: https://www.thedeepview.co/p/paris-ai-summit-the-smoke-and-mirrors-of-governance
• EU AI Act: https://www.europarl.europa.eu/topics/en/article/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligence
• Challenge of AI regulation: https://www.thedeepview.co/p/report-the-misguided-race-to-regulation
• Nurses and AI: https://www.thedeepview.co/p/current-harms-and-the-real-world-impacts-of-algorithmic-decision-making
• Preslav Nakov fact-checking LLMs: https://aclanthology.org/2024.findings-acl.558/

Outline

0:00 – Intro

2:28 – AI for compliance
4:43 – Overcoming reliability problems

10:16 – Toys VS tools
15:54 – Keeping up with the rate of ‘progress’

22:03 – The challenge of regulation:

28:55 – Balancing AI with the bottom line

34:38 – The problem with ‘Abundance’

43:11 – How to get the good without all the bad

51:17 – Running to and running from technology

55:02 – Looking for optimism

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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.

I sat down with Dr. Stefan Leichenauer, SandboxAQ's VP of Engineering, to break down the ways in which he’s bringing the two technologies together.

Check out our breakdown of quantum computing: https://youtu.be/-umrjwGFTRw

Episode links:

• Quantum sensing: https://www.baesystems.com/en-us/definition/what-is-quantum-sensing
• Sandbox LQMs: https://www.sandboxaq.com/
• Quantum computers: https://www.ibm.com/think/topics/quantum-computing
• Sandbox drug discovery: https://www.sandboxaq.com/solutions/aqbiosim
• Sandbox materials generation: https://www.sandboxaq.com/post/building-better-batteries-with-lqms

Outline

0:00 – Intro

1:36 – How does Sandbox leverage Quantum?

4:35 – What makes a sensor a Quantum sensor?
8:00 – What would a Quantum computer need to do to be ready for use?

11:30 – What reliable Quantum computers mean for Sandbox and AI
15:18 – Sandbox’s Large Quantitative Models

27:52 – Specialist systems VS generalist systems
35:41 – Black Boxes and LQMS

37:45 – LQMs and hallucination
41:50 – LQMs and drug discovery
50:00 – The cost associated with LQMs

53:37 – LQMs and materials generation
56:55 – Future outlook

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)

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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.

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)

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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.

I sat down with Igor Jablokov, the founder and chairman of Pryon, to talk about the ways in which the field of AI has grown and changed, and where it might go from here. Igor worked as a program director at IBM, developing an early iteration of IBM Watson, before he struck out on his own. His first startup, Yap, was later acquired by Amazon, where it evolved into Alexa.

Episode Links:

• Self-driving progress: https://www.thedeepview.co/p/progress-predictions-2025-robots-avs-and-technical-advancements
• Reuters copyright lawsuit: https://www.thedeepview.co/p/study-most-people-can-t-identify-deepfakes
• Musk v Altman: https://www.entrepreneur.com/business-news/musk-v-altman-billionaires-attorneys-face-off-in-court/486647
• Chatbots, mental health and Character AI: https://www.thedeepview.co/p/i-downloaded-character-ai-it-s-profoundly-disturbing
• The AI bubble: https://www.thedeepview.co/p/what-the-trade-war-might-mean-for-ai
• The power struggle of AGI: https://www.thedeepview.co/p/how-big-tech-is-using-the-ai-race-and-the-specter-of-agi-to-cement-its-power-agi-openai-google
• AI in the enterprise: https://www.thedeepview.co/p/humanx-ai-s-inflection-point-conference-artifcial-intelligence

Outline:

0:00 – Intro
2:15 – How the AI field has changed
7:43 – The five taboos Silicon Valley broke
12:11 – The ‘adulting’ of AI
15:27 – How big of a deal might AI be?
17:52 – The hyperscalers won’t get to AGI
21:42 – Digital god and ‘synthetic slaves’
25:19 – X-Risk and the safety debate
32:53 – Brute-forcing intelligence
37:59 – Cracking AI in the enterprise
44:50 – The bubble
48:15 – AI is an orchestra

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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.

I sat down with Shaolei Ren, an associate professor of Electrical and Computer Engineering at the University of California, Riverside, to break down his recent research into the water consumption, electricity consumption and public health impact of the data centers being used to power generative AI.

Episode Links:

• The water consumption of GenAI: https://arxiv.org/pdf/2304.03271
• The public health crisis of GenAI: https://arxiv.org/pdf/2412.06288
• Water consumption VS water use: https://www.wri.org/insights/whats-difference-between-water-use-and-water-consumption
• Pepsi Co’s water consumption: https://www.pepsico.com/our-impact/esg-topics-a-z/water#approach
• Google and Microsoft’s water consumption: https://www.thedeepview.co/p/google-emissions-are-spiking-due-to-increased-energy-demands-of-ai
• Elon Musk’s Memphis data center: https://www.thedeepview.co/p/the-public-health-crisis-of-artificial-intelligence

Outline:

0:00 – Intro
1:27 – The water consumption of AI
7:30 – The difference between water ‘consumption’ and water ‘use’
16:15 – The impact of reasoning models
18:03 – A solution to AI’s water problem
19:58 – The public health cost of AI
27:55 – Addressing the problem
33:52 – The dichotomy of the AI industry
42:37 – A cost-benefit analysis
48:49 – Looking ahead

Get The Deep View — your daily source for in-depth, fact-based reporting on artificial intelligence — in your inbox every morning. Subscribe here!

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.