We sat down with Dr. Nada Sanders, an expert in forecasting and human-technology interaction and the author of The Humachine, a book that explores a coming future of AI-enabled connection between men and machine. And today, we’re breaking down the pandemic-fueled rise of AI, and the many levers that will impact our ever-more digital future.

Episode Links:

• The Humachine – https://nadasanders.com/books/the-humachine/
• How the pandemic impacted global supply chains – https://www.ey.com/en_us/insights/supply-chain/how-covid-19-impacted-supply-chains-and-what-comes-next
• Kasparov’s law – https://courtofthegrandchildren.com/kasparovs-law/
• Corporate AI adoption – https://www.thedeepview.co/p/business-spending-on-ai-jumps-500-to-13-8-billion-on-200-billion-in-capex
• AI-related job loss – https://www.thedeepview.co/p/chatgpt-s-impact-on-the-labor-market-openai-generative-ai-artificial-intelligence-job-loss-report-st
• Microsoft and IBM AI reskilling – https://newsroom.ibm.com/2024-04-04-Leading-Companies-Launch-Consortium-to-Address-AIs-Impact-on-the-Technology-Workforce
• AI hallucinations – https://www.thedeepview.co/p/the-nobel-prize-and-the-mainstreaming-of-ai-s-x-risk
• Neil Theise on complexity – https://www.columbia.edu/cu/tract/projects/complexity-theory.html
• Rise of AI regulation – https://www.thedeepview.co/p/progress-predictions-2025-oversight-governance-and-regulation
• Gary Marcus interview – https://youtu.be/-oTxLnmubVk​

Outline:

0:00 – Intro
4:00 – The global pandemic and the rise of AI
13:16 – AI and skill atrophy
20:00 – People crave connection
27:20 – AI and mounting job loss
41:48 – Automating the future
52:43 – The human will to live
1:00:37 – Hallucination
1:05:49 – The regulatory landscape
1:15:52 – Staying positive

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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.

We sat down with Vijay Balasubramaniyan, the co-founder and CEO of cybersecurity firm Pindrop. And today, we’re breaking down audio deepfakes and deepfake detection; what levers are in place to indicate whether a piece of audio is real or synthetic, and how those levers technically work.

Episode Links:

• Pindrop – https://www.pindrop.com/
• The rise of deepfake fraud – https://www.forbes.com/sites/chriswestfall/2024/11/29/ai-deepfakes-of-elon-musk-on-the-rise-causing-billions-in-fraud-losses/
• Biden robocall – https://www.thestreet.com/technology/how-the-company-that-traced-fake-biden-robocall-identifies-a-synthetic-voice
• The deepfake threat – https://www.thestreet.com/technology/ai-cybersecurity-nonprofit-civai-deepfake-fraud-identity-theft-hijacking
• How LLMs work – https://arstechnica.com/science/2023/07/a-jargon-free-explanation-of-how-ai-large-language-models-work/
• Closed vs. open AI – https://www.americanactionforum.org/insight/open-source-ai-the-debate-that-could-redefine-ai-innovation/
• Deepfake voice cloning – https://consumer.ftc.gov/consumer-alerts/2024/04/fighting-back-against-harmful-voice-cloning

Outline:
0:00 – Intro
4:27 – The origins of audio deepfakes
8:25 – The origins of Pindrop
12:45 – The cybersecurity risk of a remote-first world
28:33 – Open vs closed source
31:20 – How Pindrop’s audio deepfake detection works
37:18 – Staying ahead of the threat curve
40:59 – Scaling improvements
43:24 – Building responsibility into the architecture
47:18 – The importance of AI regulation
52:22 – What can people do to protect themselves in this age of AI deepfakes?

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.

We sat down with Dr. Missy Cummings, who served as one of the U.S. Navy’s first female fighter pilots and now works as the director of George Mason University’s Autonomy and Robotics Center. Cummings, an engineer, has been studying autonomous systems for years – today, we break down the autonomy challenge in self-driving cars: how they work, their enormous limitations and a path to a feasible self-driving future.

Episode Links:

• Lidar breaks down in the rain: https://www.mdpi.com/1424-8220/24/10/2997?utm_source=www.thedeepview.co&utm_medium=referral&utm_campaign=openai-launches-o1-unveils-200-subscription-tier
• George Mason’s Autonomy and Robotics Center: https://marc.gmu.edu/
• Waymo’s self-driving statistics: https://www.thedeepview.co/p/the-complicated-statistics-behind-safe-self-driving-cars
• Waymo’s steady expansion: https://waymo.com/blog/2024/12/next-stop-miami/
• All the investigations into Tesla’s systems: https://www.cnbc.com/2024/12/09/tesla-accused-of-fraudulent-misrepresentation-of-autopilot-in-crash-.html
• A breakdown of why AI confabulates: https://mitsloanedtech.mit.edu/ai/basics/addressing-ai-hallucinations-and-bias/

Outline:
1:39 – From airplanes to AVs
3:57 – What makes self-driving cars tick
9:00 – The risk of edge cases
12:49 – The hallucination problem
18:36 – How do we verify if a self-driving car is safe, in a safe way?
24:02 – Waymo and the scaling of safety data
29:40 – The hardware behind self-driving
31:33 – Limitations of Lidar
37:57 – The misconceptions of self-driving cars
40:16 – A self-driving future

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.