Podcast · 266 episodes
Eye On A.I.
by Craig S. Smith · English
Eye on A.I. is a biweekly podcast, hosted by longtime New York Times correspondent Craig S. Smith. In each episode, Craig will talk to people making a difference in artificial intelligence. The podcast aims to put incremental advances into a broader context and consider the global implications of the developing technology. AI is about to change your world, so pay attention.
Latest episodes
Why Current AI Cannot Be Conscious | Dr. Christof KochDr. Christof Koch argues that today’s AI (including large language models) is unlikely to be conscious because consciousness depends on specific brain-like causal structure, not just input-output…30 Sep 2026 · 1 h 2 min
The Technology for Fully Autonomous Attack Is Already Here | Alex Liannyi, NORDA DynamicsAlex Liannyi (CTO of NORDA Dynamics) discusses how “fully autonomous attack” technology is already feasible, but why NORDA’s system keeps a human in the loop.24 Sep 2026 · 19 min
Inside Ukraine's Drone War: Maj. "Phoenix" of Lasar's GroupMaj. “Phoenix” of Ukraine’s Lazarus Group explains how the unit’s “war of drones” works—using satellite-linked heavy bombers, ISR aircraft/drones for target finding, FPV drones for short-range…21 Sep 2026 · 1 h 6 min
All episodes
Why Current AI Cannot Be Conscious | Dr. Christof KochDr. Christof Koch argues that today’s AI (including large language models) is unlikely to be conscious because consciousness depends on specific brain-like causal structure, not just input-output…30 Sep 2026 · 1 h 2 min · 23 chapters
The Technology for Fully Autonomous Attack Is Already Here | Alex Liannyi, NORDA DynamicsAlex Liannyi (CTO of NORDA Dynamics) discusses how “fully autonomous attack” technology is already feasible, but why NORDA’s system keeps a human in the loop.24 Sep 2026 · 19 min · 10 chapters
Inside Ukraine's Drone War: Maj. "Phoenix" of Lasar's GroupMaj. “Phoenix” of Ukraine’s Lazarus Group explains how the unit’s “war of drones” works—using satellite-linked heavy bombers, ISR aircraft/drones for target finding, FPV drones for short-range…21 Sep 2026 · 1 h 6 min · 27 chapters
The Hidden Algorithm That Decides Which Software AI Will Recommend | Tim Sanders, G2How AI “validation layer” systems decide which B2B software to recommend, and why G2 positions itself as a trust layer for those recommendations (not just traffic).14 Sep 2026 · 59 min · 34 chapters
The Reason 30 Years of Cybersecurity Has Failed - and What Actually Fixes It | Trent Telford, QanapiWhy traditional cybersecurity “walls” fail in a borderless internet (and with AI code-scanning/exploit generation), and the proposed fix: data-level, field/paragraph/cell encryption tied to identity,…10 Sep 2026 · 55 min · 29 chapters
86% of What Coding Agents Do Is Just Reading — Not Solving | Alexander Whedon of SubquadraticSubquadratic’s approach to long-context “sparse attention” that reduces quadratic attention compute so models can process multi-million-token inputs efficiently, enabling more robust RAG/agent…8 Sep 2026 · 55 min · 20 chapters
From 10 Drones a Month to Nearly 100,000 — Inside Ukraine's Largest Drone Manufacturer | Marko Kushnir, General CherryUkraine’s drone industry and battlefield use, focused on General Cherry’s rapid scaling and semi-autonomous AI interceptors against Russian Shahed/Geran drones, within a “kill zone” concept where…3 Sep 2026 · 38 min · 17 chapters
In 5 to 10 Years, Using Weapons Without AI Will Be Considered Unethical | Yaroslav Azhnyuk, The Fourth LawThe episode argues that software-driven autonomy in drones and defense will make non-AI weapon use unethical within 5–10 years, because non-autonomous systems increase collateral damage.31 Aug 2026 · 53 min · 25 chapters
Inside Ukraine's Azov Drone R&D: The Engineer Building AI Weapons 18 km From the Front Line | Alexander PalamarchukAlexander Palamarchuk (call sign “Paradise”) discusses Azov’s drone R&D for AI-enabled navigation and target recognition under heavy Russian jamming, including radio/fiber/internet links, visual…27 Aug 2026 · 42 min · 16 chapters
95% of AI Agent Projects Fail to Reach Production. Here's Why | Manoj Saxena, TrustWiseTrust and runtime governance for agentic AI. The episode argues that 95% of AI agent projects fail to reach production because “intelligence without control” isn’t deployable: enterprises must ensure…24 Aug 2026 · 1 h 2 min · 29 chapters
From Zero to 150 Robots in Just 20 Months | Mike LeBlanc, Foundation Future IndustriesFoundation Future Industries’ push to deploy humanoid robots for defense and industrial work, arguing the technology is progressing faster than critics expect.19 Aug 2026 · 1 h 6 min · 25 chapters
American Companies Have 36 Months to Go AI-Native or Get Left Behind | Drew Cukor, TWG AIThe episode argues that American enterprises have about 36 months to become “AI-native” or risk being outcompeted by AI-native startups and faster-moving rivals (especially China).13 Aug 2026 · 59 min · 23 chapters
In 5 Years, 90% of What You Use AI For Will Run on Your Smartphone | Paolo Ardoino, TetherPaolo Ardoino argues that most everyday AI use will shift from cloud data centers to on-device smartphone/laptop inference within 5 years, reducing the need for massive centralized compute.10 Aug 2026 · 59 min · 29 chapters
Why People Are Paying 10x More for AI - and What That Means for the Chip Market | Sid Sheth, d-MatrixSid Sheth (d-Matrix) discusses how AI is driving a “premium token economy” and why some companies pay 10x more for low-latency inference.6 Aug 2026 · 51 min · 18 chapters
AI Agents Fixing Your IT Before You Even Know Something Broke | Erhan Giral & Ryan Manning, BMC HelixHow BMC Helix uses agentic AI to automate IT service management (“service ops”) by detecting issues from telemetry, performing root-cause and impact analysis, and generating economical remediation…3 Aug 2026 · 59 min · 27 chapters
Real AI Transformation Costs HALF of Everyone's Salary for 2 Years | Chris Blackburn, LiatrioAI transformation for large organizations; why “efficiency” isn’t the destination, how to measure value-added work, and what real transformation costs.30 Jul 2026 · 1 h 6 min · 23 chapters
Video Is About to Stop Being One-Way (and That Changes Everything) | Victor Riparbelli, SynthesiaSynthesia’s CEO Victor Riparbelli argues AI video is shifting from one-way broadcasts to interactive, two-way “avatar” experiences—especially for K-12 and enterprise training—where students/employees…28 Jul 2026 · 40 min · 18 chapters
"According to NASA's Definition of Life, I'm Not Alive" - Why Nobody Can Define Life | Dr. Kate AdamalaDefining life and building “synthetic cells” (spud cells) from purified molecules; using them as an engineerable platform for medicine and future bioeconomy, plus safety/biosecurity discussion…21 Jul 2026 · 46 min · 22 chapters
6 in 10 Enterprises Can't Find the Root Cause When Their AI Workloads Fail | Paul Appleby, VirtanaThe episode discusses Virtana CEO Paul Appleby’s “AI factory reality check,” arguing that enterprises are investing in AI data centers faster than they can govern and operate them.15 Jul 2026 · 45 min · 23 chapters
Inside the Enterprise Browser Rebuilding Security for the AI Era | Bradon Rogers, IslandBraden Rogers (Island) discusses securing AI browsers and agentic workflows when they move from consumer use into enterprise environments.13 Jul 2026 · 56 min · 22 chapters
What Industrial AI Actually Looks Like | Kriti Sharma, Nexus BlackIndustrial AI “with a hard hat on”—what it takes to build production-grade AI for asset-heavy environments (factories, refineries, hangars, offshore sites) where failure isn’t an option, including…10 Jul 2026 · 23 min · 11 chapters
The Biggest AI Security Problem Isn't the Model. It's This. | Devvret RishiAI “agents” (models with tool/API access) create new security risk because data can move between agents and outside human visibility.7 Jul 2026 · 48 min · 26 chapters
Big Pharma Fails 50% of the Time in Phase Three. AI Can Fix That | Vin Singh, BullFrog AIBullFrog AI argues that Big Pharma’s ~50% Phase 3 failure rate can be reduced by using AI to (1) clean messy biomedical data, (2) find causal disease drivers and correct drug targets, and (3) rank…5 Jul 2026 · 50 min · 21 chapters
AI Agents Are Failing and It's Almost Never the Model's Fault | Alberto Pan, DenodoWhy enterprise AI agents fail and why the “trust gap” is mostly caused by data issues (stale, incomplete, inconsistent semantics), not model intelligence; how Denodo’s data virtualization + universal…2 Jul 2026 · 42 min · 16 chapters