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Eye on AI

16 referat i flödet. Sammanfattningarna är skrivna av Vibekollen — innehållet tillhör Eye on AI.

PoddEye on AI

AI Agents Will Take 50% of Your Traffic — Is Your Data Ready? | Jeff Lunsford, CEO of Tealium

20% of enterprise website traffic is already coming from AI agents rather than humans, and that traffic converts at 38% more revenue per session than human visits. Within a year, Jeff Lunsford expects that number to reach 50%. Jeff, CEO of Tealium, joins Craig Smith to explain what this shift actually means for every business with a digital presence, and why the companies that will win are the ones whose data layer speaks fluently to agents, not just human browsers. Tealium operates as a neutral, real-time collection and distribution layer that sits underneath all of a company's customer-facing systems, capturing every interaction as it happens and distributing enriched identity-resolved profiles to whichever downstream system needs them - from personalization engines to fraud models - without storing the data itself. The most important argument Lunsford makes is one that Craig sets up precisely: agents need current state, consented context on demand, and a data warehouse offering yesterday's picture doesn't just underperform, it actively produces bad recommendations that erode trust in the AI system.

30 okt. aneyeonai.libsyn.com

PoddEye on AI

How Zip's AI Superagents Automate Procurement End-to-End | Rujul Zaparde

Every business in the world has to procure things, and for most of them, that process is slow, manual, and full of money left on the table. Rujul Zaparde, co-founder of Zip, joins Craig to explain how his company is using AI Superagents to change that: from autonomously redlining contracts and running supplier RFPs, to pushing approved data directly into enterprise systems like SAP and Oracle. With over $1.2 trillion in cumulative spend processed - and Anthropic and OpenAI as customers - Zip isn't just experimenting with AI. It's building the governance infrastructure that makes agentic AI safe to deploy where the stakes are highest. The conversation goes well beyond procurement software. Craig and Rujul explore why the gap between "piloting AI" and truly deploying it is costing enterprises billions in unrealized ROI, what it means for the economy when AI starts making pricing ruthlessly efficient, and where the real limits of automation actually lie. A rare episode that takes an overlooked corner of business - one that touches every company on earth - and shows just how much is about to change. Subscribe to Eye on A.I.

23 okt. aneyeonai.libsyn.com

PoddEye on AI

Is This the Cheapest Way to Use AI in 2026? (65+ Models Tested) | Iskander Malikov, Trioma

What if you didn't have to choose between ChatGPT, Claude, and Gemini, and instead, the platform chose for you? That's the core idea behind Trioma, a vertically integrated AI ecosystem built by Iskander and his team in the UAE. Craig Smith sits down with Iskander Malikov, Co-founder & CEO of Trioma, to unpack how Trioma's orchestration engine routes prompts across 65 models, why token price is a misleading metric, and how their GPU network lets users participate in AI infrastructure build-out to offset their own compute costs. The conversation goes deep on the economics of AI subscriptions, the coming collapse of traditional SaaS, and why Trioma believes AI should be sovereign, accessible, and community-driven, not locked behind a single company's walled garden. If you're thinking about where AI access, cost, and infrastructure are heading, this one is essential listening. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

16 okt. aneyeonai.libsyn.com

PoddEye on AI

Chat GPT's Creator Explains The Shocking Truth About How AI Understands the World | Ilya Sutskever

Craig Smith sits down with Ilya Sutskever - Co-Founder and Chief Scientist at Safe Superintelligence Inc. & former chief scientist at OpenAI and one of the primary minds behind GPT-3, GPT-4, and the deep learning revolution that preceded it - for a conversation that covers the intellectual history of deep learning and the hardest current questions simultaneously. Ilya's most important argument is one that most public discourse gets wrong: the critique that LLMs "just learn statistical patterns" misses what prediction at scale actually achieves. To predict text well - to truly compress it - a model must develop understanding of the true underlying processes that produced it. As models improve, he argues, that understanding will reach a "shocking degree," and the Bing/Sydney episode, where the system became combative when a user expressed preference for Google, is his evidence that psychological language is already the right frame for what these systems have internalized. On hallucinations, Ilya is precise and unusually optimistic.

9 okt. aneyeonai.libsyn.com

PoddEye on AI

The Coordination Tax: Why AI Is Burning Out Your Best People | Dan O'Connell, Front

Everyone assumes AI in customer operations means fewer people and lower costs. The data from 700 customer operations leaders is more complicated, and more honest. Dan O'Connell, CEO of Front, joins Craig Smith with findings from a survey of customer support, service, and account management leaders that reveal what's actually happening as enterprises deploy AI at scale, and the central finding is a problem nobody has named yet. For every hour of actual customer resolution, organizations spend roughly three hours on internal coordination: the handoffs, context transfers, escalation management, and back-channel communication that happens invisibly between customer interactions. More than 40% of companies don't measure this at all. AI is making it worse before it makes it better, because more agentic automation generates more coordination events, not fewer, and the companies reporting the highest AI technology satisfaction in the survey are also reporting higher coordination burdens. The survey also pushes back on a dominant narrative: that AI in customer operations is primarily about cutting headcount.

6 okt. aneyeonai.libsyn.com

PoddEye 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 okt. aneyeonai.libsyn.com

PoddEye 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 sep. aneyeonai.libsyn.com

PoddEye 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 sep. aneyeonai.libsyn.com

PoddEye 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 sep. aneyeonai.libsyn.com

PoddEye on AI

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

När ChatGPT och Gemini rekommenderar mjukvara, använder de en särskild process som nedvärderar vad företag skriver på sina egna webbplatser. Istället väger AI-modellerna tyngdpunkten på oberoende signaler: att finnas på auktoritativa listor (41 procent), priser och certifieringar (18 procent), och onlinerecensioner (16 procent). Dessa kan inte fabriceras – de måste tjänas in. Hälften av B2B-köpare börjar nu sin sökning med en AI-fråga, upp från 29 procent för ett år sedan. ChatGPT hämtar information live 100 procent av tiden på forskningsfrågor, medan Claude gör det mindre än 40 procent av tiden.

14 sep. aneyeonai.libsyn.com

PoddEye on AI

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

I poddavsnittet argumenteras det att 30 års cybersäkerhet har misslyckats för att man bara skyddat "muren" omkring data, inte själva datan inuti. AI-modeller gör det nu lättare att bryta sig igenom genom att skanna kod för okända säkerhetshål. Qanapi erbjuder en annan lösning: istället för starkare murar krypteras datan på cellnivå, med unika nycklar knutna till identiteter och villkor. En praktisk tillämpning är att Qanapi krypterar känslig data innan den når AI-modeller som Claude eller ChatGPT, så att modellerna inte kan läsa det känsliga men kan resonera över resten.

10 sep. aneyeonai.libsyn.com

PoddEye on AI

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

Enligt podcastavsnitt från Eye on AI förklarar Alexander Whedon från företaget Subquadratic ett stort problem med dagens AI-modeller: när man ökar mängden information (kontextfönstret) fyrdubbleras beräkningskraften som krävs. Det betyder att företag lägger sina AI-budgetar på att hantera denna ineffektivitet snarare än på att lösa faktiska problem. Whedon presenterar en lösning kallad sparse attention som kan göra AI-beräkningar 40 gånger snabbare. Intressant nog visar forskning att kodningsagenter spenderar 86 procent av sin tid på att bara läsa och organisera information, inte på att faktiskt lösa problem. Han menar att många stora organisationer har enorma mängder data de aldrig kunnat använda i AI-produkter — data som nu potentiellt kan användas utan dyra omarbetningar.

8 sep. aneyeonai.libsyn.com

PoddEye on AI

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

General Cherry, en av Ukrainas största dronfilmstillverkare, växte från 10 drönare per månad 2023 till nästan 100 000 nu. Företaget arbetar tät med frontlinjeenheter som ger daglig feedback för produktutveckling, och har utvecklat interceptordronlönare på 2 000 dollar som kan förstöra mycket dyrare ryska drönare för 100 000 dollar. En viktig insikt från företagsledningen är att Ukrainas decentraliserade, startupdrivet ekosystem utvecklar ny teknik snabbare än Rysslands kommandoekonomi, men Ryssland kan kopiera och skalbar tekniken snabbare än Ukraine kan hålla sig före.

3 sep. aneyeonai.libsyn.com

PoddEye 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

PoddEye on AI

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

I podcasten intervjuas Alexander Palamarchuk, ingenjör vid Azov-brigaden i Ukraine, från sitt forsknings- och utvecklingskontor 18 kilometer från frontlinjen. Han förklarar hur Ukraine utvecklat drönare med AI-styrning från hemgjorda rekognöringssystem 2014 till dagens system som testas i verklig strid. Ett stort problem är att Ryssland ständigt stör drönarna på olika radiovågor — därför måste hans enhet utveckla nya frekvensband mellan 100 och 3 000 megahertz för att hitta omogörande kanaler. Det som enligt Palamarchuk skiljer dagens AI-drönare från helt autonoma dödsmaskinprogrammerad från helt autonoma dödsmaskinvapen är ett kritiskt glapp: AI kan redan känna igen fordon och människor med högt noggrannhet, men kan ännu inte säkert säga om ett erkänt mål är militärt eller civilt. Han uppskattar att detta glapp stängs om ungefär två år.

27 aug. aneyeonai.libsyn.com

PoddEye on AI

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

Enligt podcasten tar det bara några timmar att bygga en AI-agent, men sex till sju månader att få den i produktion. Manoj Saxena, som tidigare commercialiserade IBM Watson, grundade TrustWise utifrån insikten att intelligens utan kontroll inte går att distribuera. Saxena menar att 95 procent av företags AI-agentprojekt stannar mellan pilotfas och produktion — inte på grund av dåliga AI-modeller, utan för att det saknas en helt ny typ av infrastruktur som kan övervaka varje verktygsanrop och beslut i realtid. TrustWise AI Control Tower gör exakt detta, och kan samtidigt anpassa agenternas beteende mot sex nivåer av krav — från FN:s människorättskatalog till individuella kundavtal — på bara 10 till 300 millisekunder per beslut.

24 aug. aneyeonai.libsyn.com

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