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Eye on AI

11 items in the feed. The texts are the sources' own descriptions — the content belongs to Eye on AI.

PodcastEye on AI

Ukraine's Secret Weapon: The Points System Winning the Drone War | Andrii Hrytseniuk

Ukraine tracks every confirmed drone kill with video evidence, deduplicates the data to prevent double-counting, converts verified strikes into e-points, and delivers newly ordered weapons to frontline units in two weeks instead of twelve months. Andrii Hrytseniuk, CEO of Brave1- Ukraine's government defense innovation agency - joins Craig Smith to explain in precise operational detail how what started as a consumer loyalty program concept became the most consequential military procurement reform in modern warfare. The Army of Drones Bonus Program, running on the Delta command ecosystem with AI-assisted verification and a marketplace built like a military Amazon, has produced outcomes nobody predicted at launch: 35,000 Russian casualties per month confirmed with video evidence, the ability to change military targeting priorities instantly across an entire army by adjusting point values, and the identification of unknown high-performing frontline units whose methods are now being replicated across the force. The conversation reveals details that rarely surface in coverage of the conflict.

2 Oct aneyeonai.libsyn.com

PodcastEye on AI

Why Current AI Cannot Be Conscious | Dr. Christof Koch

One in four patients currently being considered for life support withdrawal may actually be fully conscious, they just can't signal it. That single finding, from a landmark New England Journal of Medicine study, is the practical stakes behind one of the most philosophically rich conversations in this series. Dr. Christof Koch - former president of the Allen Institute for Brain Science, 25-year collaborator with Nobel laureate Francis Crick, and founder of the startup Intrinsic Powers - joins Craig Smith to discuss why the hard problem of consciousness remains unsolved, what integrated information theory predicts about which systems can and cannot be conscious, and why his own mystical experience three years ago shifted his view from physicalism toward idealism. The conversation is grounded throughout in empirical work: Koch explains how Intrinsic Powers uses brain complexity measurements - sending magnetic pulses into the brain and measuring the complexity of the electrical response - to detect consciousness in behaviorally unresponsive patients, providing clinical teams and families with one critical bit of information at the most consequential moment of their lives.

30 Sept aneyeonai.libsyn.com

PodcastEye on AI

The Technology for Fully Autonomous Attack Is Already Here | Alex Liannyi, NORDA Dynamics

The AI systems guiding Ukrainian combat drones aren't running on expensive Nvidia chips. They're running on a Raspberry Pi Zero - a $15 hobby computer - and that single detail tells you more about how Ukraine's drone war is actually being fought than any headline about AI weapons. Craig Smith sits down with Alex Liannoy, CTO of NORDA Dynamics, for a technically specific and operationally candid conversation about what autonomous drone guidance looks like from inside the team building it. NORDA builds the avionics and targeting modules that plug into drones made by approximately 40 of Ukraine's hundreds of manufacturers, solving the two problems that make drone warfare hard at range: GPS denial from jamming, and the radio horizon that causes pilots to lose contact with their drone in the final 300 to 400 meters before ground level. NORDA's terminal guidance module takes over at up to one kilometer from the target, completing the approach autonomously while a human pilot's earlier lock defines the destination. The most counterintuitive finding in the episode is about what keeps humans in the loop, and it isn't ethics.

24 Sept aneyeonai.libsyn.com

PodcastEye on AI

Inside Ukraine's Drone War: Maj. "Phoenix" of Lasar's Group

The first armed drone Ukraine ever fielded wasn't built in a factory or procured from a defense contractor. It was built in four months by a network engineer using a Starlink terminal and a large agricultural quadcopter frame, and the man who built it, Maj Phoenix, co-founder of Lasars Group, joins Craig Smith in Kyiv to explain exactly how it happened and what the battlefield looks like now. The conversation traces the full arc from that first prototype - with its two-person crew of pilot and navigator, operating beyond line of sight using satellite imagery and landmarks - to the layered drone architecture Lasars Group now operates: FPV drones on fiber optic covering 30 kilometers, heavy bombers reaching 65 kilometers, ISR planes surveilling the entire range, and interceptors protecting each crew position. The most unexpected part of this conversation is what drone technology has done to the physical shape of the war.

21 Sept aneyeonai.libsyn.com

PodcastEye on AI

The Hidden Algorithm That Decides Which Software AI Will Recommend | Tim Sanders, G2

When ChatGPT and Gemini recommend software, they use a special process that downweights what companies write on their own websites. Instead, AI models place heavy emphasis on independent signals: appearing on authoritative lists (41 percent), awards and certifications (18 percent), and online reviews (16 percent). These cannot be fabricated—they must be earned. Half of B2B buyers now start their search with an AI question, up from 29 percent a year ago. ChatGPT retrieves information live 100 percent of the time on research queries, while Claude does it less than 40 percent of the time.

14 Sept aneyeonai.libsyn.com

PodcastEye on AI

The Reason 30 Years of Cybersecurity Has Failed - and What Actually Fixes It | Trent Telford, Qanapi

The podcast episode argues that 30 years of cybersecurity has failed because it has only protected the "wall" around data, not the data itself inside. AI models now make it easier to break through by scanning code for unknown security holes. Qanapi offers a different solution: instead of stronger walls, data is encrypted at the cell level, with unique keys tied to identities and conditions. A practical application is that Qanapi encrypts sensitive data before it reaches AI models like Claude or ChatGPT, so the models cannot read the sensitive information but can reason over the rest.

10 Sept aneyeonai.libsyn.com

PodcastEye on AI

86% of What Coding Agents Do Is Just Reading — Not Solving | Alexander Whedon of Subquadratic

According to a podcast episode from Eye on AI, Alexander Whedon from Subquadratic explains a major problem with current AI models: when increasing the amount of information (context window), the required computing power quadruples. This means companies are spending their AI budgets on managing this inefficiency rather than solving actual problems. Whedon presents a solution called sparse attention that can make AI computations 40 times faster. Notably, research shows that coding agents spend 86 percent of their time just reading and organizing information, not actually solving problems. He argues that many large organizations have enormous amounts of data they have never been able to use in AI products—data that could now potentially be used without costly reworking.

8 Sept aneyeonai.libsyn.com

PodcastEye on AI

From 10 Drones a Month to Nearly 100,000 — Inside Ukraine's Largest Drone Manufacturer | Marko Kushnir, General Cherry

General Cherry, one of Ukraine's largest military drone manufacturers, grew from producing 10 drones per month in 2023 to nearly 100,000 now. The company works closely with front-line units that provide daily feedback for product development, and has developed interceptor drones priced at $2,000 that can destroy much more expensive Russian drones costing $100,000. A key insight from company leadership is that Ukraine's decentralized, startup-driven ecosystem develops new technology faster than Russia's command economy, but Russia can copy and scale technology faster than Ukraine can stay ahead.

3 Sept aneyeonai.libsyn.com

PodcastEye on AI

In 5 to 10 Years, Using Weapons Without AI Will Be Considered Unethical | Yaroslav Azhnyuk, The Fourth Law

A Ukrainian entrepreneur who spent 14 years building cameras for pets pivoted to building cameras that down Shaheds, and is now building the autonomy software that could define how wars are fought for the next generation. Yaroslav Azhnyuk, co-founder of Fourth Law, joins Craig Smith in Kyiv to explain why Ukraine has become what he calls the Defense Valley or the Florence of Defense: a dense, fast-moving ecosystem of founders, engineers, and military operators who are building, testing, and iterating on autonomous drone systems in real combat conditions, with a feedback loop that no defense contractor in the West can currently match. The conversation covers Azhnyuk's five-level autonomy framework for drones, the eight-dimensional model for what a fully autonomous battlefield ecosystem requires, and the economic math that he believes makes global rearmament inevitable: a $500 drone that can already destroy a $5 million tank becomes roughly 10,000 times more capable when full autonomy is added for a few hundred dollars more. The competitive landscape is mapped with unusual candor, an "Apple vs.

31 Aug aneyeonai.libsyn.com

PodcastEye on AI

Inside Ukraine's Azov Drone R&D: The Engineer Building AI Weapons 18 km From the Front Line | Alexander Palamarchuk

In a podcast, Alexander Palamarchuk, an engineer with Ukraine's Azov Brigade, is interviewed from his research and development office 18 kilometers from the front line. He explains how Ukraine has evolved drones with AI guidance from homemade reconnaissance systems developed in 2014 to today's systems being tested in actual combat. A major challenge is that Russia constantly jams the drones on various radio frequencies, forcing his unit to develop new frequency bands between 100 and 3,000 megahertz to find uninterrupted channels. According to Palamarchuk, what distinguishes today's AI drones from fully autonomous lethal weapons is a critical gap: AI can already recognize vehicles and people with high accuracy, but cannot yet reliably determine whether a recognized target is military or civilian. He estimates this gap will close in approximately two years.

27 Aug aneyeonai.libsyn.com

PodcastEye on AI

95% of AI Agent Projects Fail to Reach Production. Here's Why | Manoj Saxena, TrustWise

According to the podcast, building an AI agent takes only a few hours, but getting it into production takes six to seven months. Manoj Saxena, who previously commercialized IBM Watson, founded TrustWise based on the insight that uncontrolled intelligence cannot be distributed. Saxena argues that 95 percent of companies' AI agent projects stall between pilot phase and production — not because of poor AI models, but because a completely new type of infrastructure is missing that can monitor every tool call and decision in real time. TrustWise AI Control Tower does exactly this, and can simultaneously adapt agent behavior to six levels of requirements — from the UN's human rights catalogue to individual customer agreements — in just 10 to 300 milliseconds per decision.

24 Aug aneyeonai.libsyn.com

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