Airia is building a platform designed to plug AI into every corner of an organization while keeping data secure and systems governed. Dave breaks down why that balance is harder than it looks, and why many companies are underestimating the complexity of deploying AI agents at scale.

We also dig into the surge of interest in agentic AI in 2026, including a contrarian perspective on OpenClaw and the idea that agents will quickly replace human work. Dave argues that the real challenge is not capability, but coordination, and that success comes down to three pillars: security, governance, and orchestration.

Beyond the tech, Dave shares his journey building alongside the Airia founders, why funding is pouring into AI startups, and how the AI ecosystem is evolving across London, the UK, and Europe. He also reveals the AI tool that has most transformed the way he works.

If you want a grounded, real-world view of where enterprise AI is headed, and what it will actually take to make it work, this conversation delivers.

Watch, listen, and subscribe for more conversations at the frontier of AI.

And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com

In this episode of The Deep View Conversations, Senior Reporter Sabrina Ortiz sits down with Jeetu Patel, President and Chief Product Officer at Cisco, to explore how the rise of AI agents is reshaping cybersecurity, software development, and enterprise strategy. 

Jeetu makes a bold prediction: today’s 150 million developers could expand to 3 billion agent builders within the next year. But that explosion comes with serious risk. As nation-states and bad actors deploy autonomous agents at scale, traditional, human-centered security models begin to break down. 

This conversation unpacks:
+ Why AI agents are becoming the new attack surface
+ What enterprises must do now to prepare for agent-driven threats
+ Jeetu’s journey from Box to Cisco, and what it taught him about leading through platform shifts
+ Practical advice for learning AI and building in an agent-first world 

But this isn't a doom-and-gloom conversation. Jeetu lays out a vision for how security can become an accelerator rather than a limiter, and why the distinction between giving agents access and giving them trusted, governed access will define which enterprises thrive in the agentic era. 

If AI agents are the next platform shift, cybersecurity may be the defining battleground. 

Watch the full conversation and subscribe for more interviews with the leaders shaping the future of AI. 

And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com 

James Everingham, CEO of Guild AI, joins The Deep View Conversations to talk about building a safety layer for AI agents. The product launched in fall 2025 and found itself at the center of the most important movement in enterprise AI just months later. 

In this conversation, James breaks down how Guild's platform deploys dozens of workflow-specific agents across different parts of a business, while giving developers the tools to iterate, spin up custom agents, and operate in a safe environment that tracks everything agents do and protects companies from unpredictable outcomes. 

Topics covered:
+ The enduring power of bottom-up innovation

+ How Guild AI's agent supervision platform works

+ Why safety infrastructure is the new competitive moat

+ Lessons from James' earlier career at Netscape and Meta

+ Open-source vs. proprietary models: how it plays out over the next few years

+ A standout leadership tip for sparking innovation on your team 

+ His best advice for getting maximum impact from today's AI tools. 

If you want to understand where AI agents are headed and what it takes to build them responsibly, this conversation is a powerful place to start. 

Subscribe for weekly conversations with the leaders shaping the future of AI. 

And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com 

In this episode of The Deep View Conversations, senior reporter Nat Rubio-Licht talks with Baris Gultekin, vice president of AI at Snowflake, for a candid look at how the company is navigating the AI era and what it's learning in real time.

Gultekin talks openly about how the entire team inside Snowflake is now using coding tools to build skills and automate their work. That includes non-developers who are using Project SnowWork, an AI agent for professionals across all roles.

Baris joined Snowflake in 2023 through the acquisition of blockchain startup nxyz and has spent the past three years building and running the AI teams inside the enterprise tech giant. He also brings a rare perspective from his time working on Google Assistant in the pre-LLM era, which gives him a unique lens on how much has changed.

Topics covered:

+ Why there is no AI strategy without a data strategy, and what enterprises keep getting wrong

+ How agentic AI has shifted enterprise data from question-answering to automation

+ The SaaSpocalypse and why Snowflake sees AI as a tailwind rather than a threat

+ Cortex Code (CoCo), Snowflake's coding agent that lets customers query their data in plain language instead of SQL

+ The governance and security challenges that come with multi-agent systems

+ How Baris uses coding agents in his own life

If you want to understand how a mature SaaS company reinvents itself inside an AI revolution, this one is worth your time.

Subscribe to the podcast for more conversations with the leaders, builders, and researchers shaping the future of AI.

And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com

In this episode of The Deep View: Conversations, the HumanX CEO explains how he’s putting that idea into practice, starting with his own team.

HumanX calls itself the most important AI conference of the year, but what makes it stand out is how intentionally it’s being built. Stefan and his team are rethinking the entire event experience for 2026, using AI to create a more personalized journey for every attendee, from curated sessions to smarter networking and discovery.

In this episode, we talk about:

+ Building a new kind of conference in the AI era
+ Using vibe coding for rapid prototyping
+ Management principles for the AI era
+ Turning every worker into a 10x employee
+ The AI tool that’s blowing Stefan’s mind

But this conversation goes beyond events. It’s really about leadership in the age of AI.

Along the way, Stefan offers a clear view of what it takes to build an organization that can actually apply AI, not just talk about it. He also shares a leadership principle that has shaped his approach.

If you’re thinking about how to scale impact across your team, or how to move from AI curiosity to real execution, this conversation delivers practical insights you can use right away.

Subscribe to the podcast for more conversations with the leaders, builders, and researchers shaping the future of AI.

And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com

In this conversation, we explore the key trends shaping the next wave of AI apps, including the rise of personal AI agents, the growing importance of context and memory in AI systems, and the way new tools are changing how people build, create, and work.

We cover:

+ a16z’s Top 100 Gen AI Consumer Apps report and what it reveals

+ The rise of OpenClaw and personal AI agents in 2026

+ Olivia’s current AI stack and how she uses her favorite tools

+ Why context and memory could define the next stage of AI

+ Global trends shaping the AI app ecosystem
+ The acceleration of coding agents

Few people have their finger on the pulse of the AI app ecosystem like Olivia. If you want to understand which AI tools are gaining momentum and where the next breakthroughs may come from, this conversation offers a valuable window into the space. 

There’s a great chance you’ll come away from this episode with at least one tool or idea that changes the way you work.

Subscribe to the podcast for more conversations with the leaders, builders, and researchers shaping the future of AI.

And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights that keep our audience ahead of the curve and help them put AI to work every day: subscribe.thedeepview.com

For this episode of The Deep View: Conversations, I talked with Tigran Sloyan, CEO and co-founder of CodeSignal, the company building a new standard for hiring and career mobility in the age of AI.

CodeSignal’s mission starts with a simple but painful truth: resumes and interviews are a flawed way to hire talent. Countless candidates have the skills to thrive in high-paying tech roles but never get a fair shot, while others with polished credentials sometimes land jobs they’re not prepared to do. 

CodeSignal is flipping that equation with skills-based assessments that help employers discover candidates with real ability, and a free learning platform that helps candidates level up for the next opportunity.

In my conversation with Tigran, we talked about:

+ Why resumes haven’t meaningfully changed in 100 years, and why it's breaking hiring

+ How CodeSignal measures skills, and why simulation beats multiple-choice

+ What AI unlocks for assessing non-technical roles such as sales and support

+ The dark side of AI: what CodeSignal’s research shows about cheating attempts

+ Why entry-level jobs are turning into tasks, and what that means for training

+ How CodeSignal makes free learning content work economically

+ The future of re-skilling at scale, and why AI tutoring changes everything

We also dig into what’s changing fast right now: the rise of AI-assisted work, the surge in fraud in hiring assessments, and why foundational skills still matter even when AI can do the task.

Tigran shares his background from Armenia to MIT to Google, his most contrarian leadership advice, and the AI tool he'd recommend you start using every day. If you want to understand how AI is being used to fix the problems that AI is causing in the job market, this is the podcast for you.

Subscribe to The Deep View: Conversations podcast in your favorite podcast player for more unique conversations with the brightest minds solving the biggest challenges in AI. You can also subscribe on YouTube.

And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights that keep our audience ahead of the curve and help them put AI to work every day: subscribe.thedeepview.com

Long before generative AI went mainstream, Wasim and his cofounder launched Blackbird to tackle disinformation and narrative manipulation. Their thesis was bold: that part of modern cybersecurity conflict had shifted from infrastructure to information, from networks to narratives.

It turned out to be prescient.

As AI supercharges the speed, scale, and realism of malicious content — from deepfakes to coordinated influence campaigns — Blackbird has emerged as the leader in combating narrative attacks. In fact, Gartner recently named Blackbird the company to beat in disinformation narrative intelligence in its report on the AI Vendor Race.

In our conversation, we explore:

+ What “narrative attacks” really are and why they’re so hard to detect

+ How AI has fundamentally changed the disinformation battlefield

+ Reactive vs. proactive defense strategies in cybersecurity

+ How Blackbird evolved from a lab experiment into a national security player

+ Why leaders relying on chatbots instead of AI agents are already falling behind

Wasim also shares how he optimizes his time for maximum leverage, and offers his advice for founders navigating fast-moving technology shifts.

If you care about cybersecurity, AI, information warfare, or the future of leadership in the age of intelligent agents, this is a conversation you'll want to hear.

Subscribe to The Deep View: Conversations podcast in your favorite podcast player for more unique conversations with the brightest minds solving the biggest challenges in AI. You can also subscribe on YouTube.

And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights that keep our audience ahead of the curve and help them put AI to work every day: subscribe.thedeepview.com

In this episode of Deep View Conversations, we sit down with Shibani Ahuja, Senior Vice President of Enterprise IT Strategy at Salesforce. Over the past year, Shibani has met with 587 C-suite leaders to understand how Salesforce can evolve into an agentic AI platform for the world’s largest organizations. 

We unpack what she’s learned from those conversations, including the real blockers to AI adoption, how leading enterprises are progressing, and why shared context and trust matter more than raw model capabilities. 

Shibani also breaks down Salesforce’s Agentic Maturity Model, a framework designed to help organizations assess their current AI readiness and chart a path forward. 

We also explore:

+ How AI is reshaping the banking and financial services industry, where Shibani spent a good part of her career
+ The story of how Shibani joined Salesforce after challenging Marc Benioff and his leadership team as a customer
+ Why clear, jargon-free communication is one of the most underrated skills in AI, and how to do it well in high-stakes settings 

Shibani is one of the most cogent communicators in tech today, and this conversation is packed with practical insights for anyone leading, building, or communicating about AI inside an organization or in public settings. 

Subscribe to The Deep View: Conversations podcast in your favorite podcast player for more unique conversations with the brightest minds solving the biggest challenges in AI. You can also subscribe on YouTube. 

And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights that keep our audience ahead of the curve and help them put AI to work every day: subscribe.thedeepview.com

In this episode of The Deep View: Conversations, Editor-in-Chief Jason Hiner talks to Matt Yanchyshyn, who leads AWS Marketplace at Amazon Web Services. Yanchyshyn's team helps organizations discover, buy, and deploy software on AWS, and one of the biggest shifts they’ve seen over the past six months is the explosion of AI agents in real-world use cases.

When AWS unveiled its agent marketplace in mid-2025, the internal goal was initially to launch with 50 agents. By early 2026, that number had surged past 2,600 agents, making it the fastest-growing category in the history of the world’s largest cloud platform.

So what’s driving that surge? Yanchyshyn breaks it down.

In this conversation, we cover:
+ Which types of AI agents are seeing the fastest enterprise adoption
+ The industries and use cases leading the charge
+ How companies are handling data security and sovereignty concerns
+ The role of multi-model orchestration in agent effectiveness
+ How AWS is using agents internally to drive lots of different wins

If you're trying to understand where AI agents are actually being deployed — not the hype, but the reality — then this conversation will reset your expectations. It will help you see where agentic AI is already delivering business value, and where it’s heading next.

Subscribe to The Deep View: Conversations in your favorite podcast player for more unique conversations with the brightest minds solving the biggest challenges in AI. You can also subscribe here on YouTube.

And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights that keep our audience ahead of the curve and help them put AI to work every day: subscribe.thedeepview.com

Thank you to our sponsor, Deel, an AI-native platform for HR, IT, and payroll. Hire, manage, pay, and equip anyone, anywhere. https://www.deel.com/deepview

In this episode of The Deep View: Conversations, Editor-in-Chief Jason Hiner sits down with Bobak Tavangar, CEO of Brilliant Labs, one of the most intriguing startups in AI hardware today. 

While trillion-dollar giants like Meta and Google race to define the future of AI glasses, Brilliant Labs is taking a radically different path: building in public, going open-source with both software and hardware, and centering their next product, the Halo glasses, around something deeply human. 

The focus? A conversational AI agent for your long-term memories and conversations. 

This isn’t just about smarter wearables. It’s about a bigger idea: 

+ Can AI help us be more present, not less? 
+ Could technology support memory, reflection, and intention instead of distraction? 
+ What does privacy look like when AI can recall your life? 

Jason and Bobak also explore: 

+ What he learned during his time at Apple 
+ Why AI hardware is one of the hardest frontiers in tech 
+ The challenging process of finding a co-founder 
+ Bobak’s philosophy on communicating on social media with purpose, not hype 

Bobak is one of the most thoughtful founders in the AI space, consistently elevating the conversation beyond features and into questions of values, agency, and human experience. 

If you care about where AI, wearables, memory, and attention intersect, this is a conversation you don’t want to miss. 

Subscribe to the podcast for more unique conversations with the brightest minds solving the biggest challenges in AI. 

And don't miss The Deep View daily newsletter. We don’t just cover AI — we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights that keep our audience ahead of the curve and help them put AI to work every day: https://subscribe.thedeepview.com/ 

In this episode of The Deep View Conversations, we talk with Rob May, founder and CEO of Neurometric AI, to break down one of the most urgent challenges in AI today: the soaring cost of inference, and how to bring it down without sacrificing performance. 

Today's AI is increasingly powerful, but it’s also expensive. For enterprises to see real returns, inference costs have to drop dramatically. Neurometric believes the answer lies in "thinking algorithms" paired with small, specialized models and workload-specific optimization. This approach can significantly reduce costs while often improving accuracy and efficiency. Rob walks through how this works in practice and why it matters as AI moves from experimentation to scaled deployment. 

We also talk about:
+ Why the current AI boom pulled Rob back into operating a startup after multiple exits and a move into investing 
+ How founders should think about AI infrastructure, efficiency, and long-term economics 
+ What startup leaders can do to get journalists to pay attention — and a pivotal early-career conversation that led to coverage which changed the trajectory of one of Rob’s companies 

If you’re building, deploying, or investing in AI and wrestling with the economics of inference, this conversation offers a clear, practical perspective on what comes next. 

Thank you to our sponsor, Deel, an AI-native platform for HR, IT, and payroll. Hire, manage, pay, and equip anyone, anywhere. https://www.deel.com/deepview 

Subscribe to the podcast for more unique conversations with the brightest minds solving the biggest challenges in AI. 

And don't miss The Deep View daily newsletter. We don’t just cover AI — we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights that keep our audience ahead of the curve and help them put AI to work every day: https://subscribe.thedeepview.com/ 

What started as an internal tool to streamline software deployment has grown into something larger: a vision for how AI can augment, not replace, the craft of engineering — and reshape how teams collaborate at scale.

Merrill walks us through Graphite’s early pivots, the development of its AI reviewer Diamond, and how the company is rethinking the bottleneck that stands between building and shipping code.

We also go beyond the product to explore deeper questions:
Will coding become fully automated?
How do we balance speed and safety in an era of AI-written software?
And what does craftsmanship mean when machines start to create?

Patrick walks us through the challenges of clinical trial design, the limits of large language models, and how thoughtful AI implementation could unlock faster, safer, and more inclusive access to medicine.

We also go beyond tech to explore deep questions: Is AI truly intelligent? How do we balance speed and safety? And are we building tools — or something closer to gods?

Russ walks us through how a pandemic side project evolved into the nervous system for the next generation of AI-powered voice applications. But this episode goes far beyond infrastructure. We dive into big, human questions: What does it mean to interact naturally with AI? Are we moving back toward voice as the dominant interface? How will AI reshape work, leisure, and even our sense of identity?

From the democratization of high-tech tools to the societal shifts driven by intelligent systems, this is a wide-ranging and deeply thoughtful conversation on what comes next in the age of synthetic intelligence.

In this episode of The Deep View Conversations, we explore the world of machine translation and artificial intelligence with Olga Beregovaya — Smartling’s VP of Machine Translation and Artificial Intelligence. Olga takes us through the evolution of machine translation, from rule-based systems to statistical models to today’s neural networks and large language models.

She sheds light on how translation has shifted from being a purely linguistic endeavor to one that now sits at the intersection of data science, AI, and human creativity. We dive into hallucinations, under-resourced languages, the rise of synthetic data, and what it truly means to maintain quality in a multilingual world. If you've ever wondered what makes AI translation tick — and where it's going — this is the episode for you.

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 we break it all down, cutting through the hype to make clear what's important and why you should care.

We explore everything from the overwhelming noise of algorithm-driven content and the dangers of viral misinformation, to how AI can empower creators with reliable, vetted science. If you’re curious about how tech, trust, and truth collide in the age of TikTok and ChatGPT, this is an episode you won’t want to miss.

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 we break it all down, cutting through the hype to make clear what's important and why you should care.

We explore everything from trust in algorithms, systemic challenges, and outdated infrastructure to the ethical implications of AI in medicine and the risk of over-efficiency. If you’re curious about the real-world application of AI in hospitals and how to bridge the gap between innovation and implementation, this is a must-listen.

Outline: 

00:00 – Intro: AI and healthcare — promise vs. reality
01:00 – Meet Pelu Tran, CEO of Ferrum Health
03:10 – A personal tragedy leads to a mission: Ferrum’s origin
07:00 – The real reason AI adoption is slow in hospitals
10:00 – Infrastructure, security & why hospitals still use fax machines
13:30 – What Ferrum Health actually does
16:10 – Why FDA clearance isn’t enough for AI trust
19:00 – Ferrum’s approach: Validating models with AI itself
22:30 – AI performance drift & automated monitoring
25:00 – Diagnostic tools, LLMs, and AI's current limitations
28:40 – The illusion of language fluency and AI “hallucinations”
31:00 – Burnout, administrative burden & where AI helps
34:30 – Will AI speed things up or make hospitals worse?
38:00 – Hospital incentives & risks of productivity pressure
41:10 – AI replacing admin, not doctors (yet)
44:10 – Communicating AI performance to clinicians
47:30 – Measuring outcomes, not just accuracy
50:00 – Trust, governance, and safe deployment
53:15 – Why flexibility is key for AI in healthcare
56:00 – The future: Safe disruption vs. blind disruption
59:00 – Will AI replace doctors? Why not anytime soon
1:01:00 – Final thoughts: AI’s promise and pitfalls 

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 we break it all down, cutting through the hype to make clear what's important and why you should care.

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 

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.

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

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.

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

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.

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

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.

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  

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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.

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

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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.

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.

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

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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.

Episode Links: 

• 5th paradigm of scientific discovery: https://cacm.acm.org/opinion/the-5th-paradigm-ai-driven-scientific-discovery/
• Microsoft Aurora: https://www.microsoft.com/en-us/research/blog/introducing-aurora-the-first-large-scale-foundation-model-of-the-atmosphere/
• The environmental cost of AI: https://www.thedeepview.co/p/the-public-health-crisis-of-artificial-intelligence
• MatterGen: https://www.thedeepview.co/p/report-ai-is-everywhere-already-even-if-we-don-t-know-it
• The dubious nature of AGI: https://www.thedeepview.co/p/the-nobel-prize-and-the-mainstreaming-of-ai-s-x-risk
  
  

Outline:

0:00 – Intro
2:13 – The importance of domain expertise in AI 
5:17 – The promise of AI for science
12:47 – Project Aurora and climate modeling 
15:27 – The cost-benefit analysis of AI 
18:43 – Weather prediction models VS ChatGPT
21:36 – AI to shield against engineering disasters
24:36 – How does Microsoft decide which applications to pursue
27:32 – Microsoft Research’s main areas of focus
33:24 – MatterGen and material generation
39:24 – How the wet lab is changing
42:19 – Is AGI a worthwhile pursuit for scientific advancement? 
 47:43 – Technological optimism and the way forward

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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.

Episode links: 

• AI has been around for decades: https://www.weforum.org/stories/2024/10/history-of-ai-artificial-intelligence/
• Deterministic VS probabilistic AI: https://towardsdatascience.com/deterministic-vs-probabilistic-deep-learning-5325769dc758/
• AI in the enterprise: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work
• Air Canada lawsuit: https://www.forbes.com/sites/marisagarcia/2024/02/19/what-air-canada-lost-in-remarkable-lying-ai-chatbot-case/
• Character AI sued: https://www.thedeepview.co/p/character-ai-sued-for-mental-health-decline-in-teenage-users-allegedly-encouraged-user-to-murder-his
• AI trade runs out of steam: https://www.thedeepview.co/p/nvidia-beats-expectations-but-wall-street-wanted-more

Outline

0:00 – Intro

1:57 – AI guardrails … in 2019 
4:51 – How consumers view guardrails in AI 

11:03 – Tempered excitement in the enterprise

13:05 – Why do we need guardrails

17:59 – The role of regulation

24:07 – Why don’t developers guardrail their systems? 

28:30 – Detecting hallucinations with guardrail models

34:11 – Guardrailing AGI 

41:33 – Is the AI revolution slowing? 

44:18 – How guardrails enable a positive outcome

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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.

Episode Links: 

• Artificial general intelligence: https://www.thedeepview.co/p/the-nobel-prize-and-the-mainstreaming-of-ai-s-x-risk
• Microsoft and OpenAI’s AGI definition: https://www.theinformation.com/articles/microsoft-and-openais-secret-agi-definition?rc=sbfmgm
• AI agents: https://www.thedeepview.co/p/prog-predictions-series-draft-ef9c081b34af8540
• AI and job loss: https://www.thedeepview.co/p/chatgpt-s-impact-on-the-labor-market-openai-generative-ai-artificial-intelligence-job-loss-report-st
• Technological revolution: https://www.thedeepview.co/p/south-korea-stakes-a-claim-in-the-ai-race
• The Free Press article mentioned at 38:29: https://www.thefp.com/p/freddie-de-boer-is-ai-the-greatest-invention-or-overhyped

Outline: 

0:00 – Intro 
3:16 – The pace of improvement
8:56 – Unraveling ‘AGI’
14:47 – The inflection point of AI agents
21:54 – Thinking about reliability
26:14 – The economic implications of AI 
32:37 – Is AI like the Industrial Revolution? 
38:29 – How useful is AI, actually? 
43:57 – Existential risk 

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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.

Episode Links: 

• Intuition robotics: https://www.intuitionrobotics.com/
• The loneliness epidemic: https://www.gse.harvard.edu/ideas/usable-knowledge/24/10/what-causing-our-epidemic-loneliness-and-how-can-we-fix-it
• Social determinants of health: https://www.cdc.gov/public-health-gateway/php/about/social-determinants-of-health.html
• Fine-tuning AI models: https://www.ibm.com/think/topics/fine-tuning
• Cybersecurity and AI: https://www.gartner.com/en/cybersecurity/topics/cybersecurity-and-ai
• Character AI and anthropomorphization: https://www.thedeepview.co/p/character-ai-sued-for-mental-health-decline-in-teenage-users-allegedly-encouraged-user-to-murder-his

Outline: 

0:00 — Intro

3:05 — Why Dor started Intuition Robotics

7:22 — The importance of a targeted demographic
11:00 — Solving for loneliness

15:30 — How ElliQ works, technically

28:35 — ElliQ and data privacy

35:11 — The ethics of artificial companionship 

40:22 — Humanity and AI companionship

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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.

Episode Links: 

• AI is using social media data: https://www.cnn.com/2024/09/23/tech/social-media-ai-data-opt-out/index.html
• Musical.ly’s FTC fine: https://apnews.com/article/lifestyle-technology-business-data-privacy-parenting-eafed6bfd7d241549e097e38e8088873
• X trains AI on your tweets: https://www.cnet.com/tech/services-and-software/x-is-using-your-tweets-to-train-its-ai-heres-how-to-disable-that/
• ChatGPT’s impact on the labor market: https://www.thedeepview.co/p/chatgpt-s-impact-on-the-labor-market-openai-generative-ai-artificial-intelligence-job-loss-report-st
• Human creativity persists in the era of generative AI: https://www.thestreet.com/technology/human-creativity-persists-era-of-generative-artificial-intelligence
• Character AI: https://www.thedeepview.co/p/i-downloaded-character-ai-it-s-profoundly-disturbing
• The AI mirror: https://ssir.org/books/reviews/entry/the-ai-mirror-shannon-vallor
• Digital necromancy: https://www.thedeepview.co/p/elevenlabs-latest-release-highlights-the-issue-of-digital-necromancy
• Hello Barbie: https://www.scu.edu/ethics/internet-ethics-blog/speaking-ill-of-the-discontinued/
• Dickens on Big Data: https://www.vox.com/2014/5/1/11626330/for-these-times-dickens-on-big-data
• The public health crisis of AI: https://www.thedeepview.co/p/the-public-health-crisis-of-artificial-intelligence
• AI and sustainability: https://www.thestreet.com/technology/heres-what-ai-for-sustainability-actually-looks-like-ibm-machine-learning-executives
  
  

Outline: 

0:00 – Intro
1:52 – Irina’s journey into ethics
4:42 – The link between social media and AI 
9:57 – Why should people care about data privacy
15:27 – The impact of automation on society
20:00 – What happens to the generation who grows up with AI? 
26:24 – What AI might mean for loneliness? 
32:06 – Grief and digital immortality
39:06 – The issue of anthropomorphization 
44:19 – The lifecycle of data
47:34 – We track everything, all the time
53:47 – Is AI anti-human? 
59:03 – Skepticism in AI 
1:00 – Tech solutionism & its impacts
1:12 – Regulation and twisted incentives

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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.

Episode Links: 

• IBM’s Quantum Roadmap: https://www.flickr.com/photos/ibm_research_zurich/53347055153/
• Quantum-centric supercomputing: https://www.ibm.com/think/topics/quantum-centric-supercomputing
• IBM launches advanced quantum computers: https://newsroom.ibm.com/2024-11-13-ibm-launches-its-most-advanced-quantum-computers,-fueling-new-scientific-value-and-progress-towards-quantum-advantage
• IBM’s quantum in use: https://www.ibm.com/quantum/case-studies/modeling-realistic-chemistry
• Responsible quantum: https://www.ibm.com/quantum/blog/responsible-quantum
• AI’s sustainability problems: https://www.thestreet.com/technology/heres-what-ai-for-sustainability-actually-looks-like-ibm-machine-learning-executives
• The ethics of AI: https://www.thestreet.com/technology/the-ethics-of-artificial-intelligence-responsible-ai
• How a quantum computer could break encryption: https://www.technologyreview.com/2019/05/30/65724/how-a-quantum-computer-could-break-2048-bit-rsa-encryption-in-8-hours/
• Google’s breakthrough: https://blog.google/technology/research/google-willow-quantum-chip/

Outline: 

0:00 – Intro

1:00 – Jerry’s personal journey into quantum 

2:37 – What exactly is quantum computing? 

10:44 – How do you measure efficacy in quantum computers? 

13:30 – Problems that are good for quantum

16:30 – Quantum and AI 

20:00 – The energy intensity of quantum 

23:40 – The ethics of more powerful computation 

25:30 – Quantum could break encryptions

27:46 – Quantum’s inherent limitations

30:23 – All the hype

36:40 – Google’s breakthrough and ‘parallel’ universes

40:00 – What you need to understand 

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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.

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.

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? 

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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.

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

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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.

 
SPONSOR:
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EPISODE LINKS:
MBZUAI appoints Eric Xing: https://mbzuai.ac.ae/study/faculty/professor-eric-xing/
Eric Xing addresses the class of 2024: https://mbzuai.ac.ae/news/presidents-address-to-the-class-of-2024/
The printing press and the age of enlightenment: https://www.history.com/news/printing-press-renaissance

OUTLINE:
00:47 Introduction to MBZUAI
02:49 The Unexpected Offer
05:19 Making the Decision
10:01 A New Cultural Moment
13:28 Starting at MBZUAI
14:35 The Age of AI Empowerment
21:44 AI’s Potential and Risks
29:19 Regulating AI
35:40 The Promise of AI
43:39 AI as the Modern Microscope
45:19 Limitations and Misconceptions of AI
47:57 The Role of Language in AI
50:26 AI Literacy and Public Perception
01:01:00 Open Source vs. Closed Source Debate
01:15:01 The Future of AI Education
01:22:31 Conclusion and Final Thoughts

 
SOCIAL LINKS:
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EPISODE LINKS:
Taming Silicon Valley: https://mitpress.mit.edu/9780262551069/taming-silicon-valley/
Gary Marcus’ Testimony Before the Senate Judiciary Committee: https://www.judiciary.senate.gov/committee-activity/hearings/oversight-of-ai-rules-for-artificial-intelligence
Google DeepMind’s AlphaFold 3: https://alphafold.com/
Generative AI’s Copyright Problem: https://garymarcus.substack.com/p/the-potential-genai-copyright-infringement
Eric Schmidt, Let the Lawyers Clean it Up: https://www.theverge.com/2024/8/16/24221353/eric-schmidt-says-the-quiet-part-out-loud
Deep Learning is Hitting a Wall: https://garymarcus.substack.com/p/26-months-of-ridicule-and-failure?utm_source=publication-search
Marcus Bets Elon Musk $10 Million: https://garymarcus.substack.com/p/superhuman-agi-is-not-nigh

OUTLINE:
1:30 – The inspiration behind 'Taming Silicon Valley'
4:30 – Regulation won't stifle innovation; it'll do the opposite.
7:10 – The potential upsides of AI (if it's done right).
10:00 – Money, power and the original mission of AI
12:11 – Generative AI's copyright problem
13:35 – The culture and ethos of Silicon Valley
14:45 – Here's how we can achieve ethical AI
19:11 - Common AI misconceptions
22:01 – Deep learning and exponential progress
25:06 – The bursting of the AI bubble
31:31 – New AI paradigms: Neurosymbolic AI
33:45 – No AGI by 2027
38:00 – Is AGI possible?
39:45 – The role of regulation
42:15 – We shouldn't stop AI
45:30 – Chatbots aren't the "droids we're looking for"
49:30 – Is solving AI a good thing?
51:10 – Silicon Valley is its own worst enemy
53:20 – What should people do about AI?

 
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