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Practical AI

11 referat i flödet. Sammanfattningarna är skrivna av Vibekollen — innehållet tillhör Practical AI.

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Abundant Intelligence at the Midwest AI Summit

In this special episode, we bring you highlights from three talks at the Midwest AI Summit. Heidi Porter explores how to build reliable AI-augmented workflows using the right tools, evaluations, and guardrails. Kevin Solorio shares why building AI with frontline workers, not just for them, is key to earning trust and driving adoption, emphasizing collaboration and continuous feedback. And Chris Shinkle and Andrew Dunlap of SEP discuss how software teams can find the right level of AI autonomy based on their goals, constraints, and verification needs, sharing lessons from teams using AI to build software more effectively.Featuring: Heidi Porter – LinkedInKevin Solorio – LinkedInChris Shinkle – LinkedInAndrew Dunlap – LinkedInDaniel Whitenack – Website, GitHub, XLinks:Moyer Group AISEPFocusedSponsors:Hostinger: Create your website today.

29 okt. share.transistor.fm

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Exploit Development, Agentic Vulnerability Discovery, and Fake PoCs

AI is changing cybersecurity, accelerating vulnerability research and exploit development while raising new questions about reliability, risk, and guardrails. Daniel and Chris talk with Spencer McIntyre, Director of Exploit Development at VulnCheck, about how agents are being used to discover vulnerabilities, why many proof-of-concept exploits (POCs) fail to deliver, and how initial access intelligence helps security teams prioritize real threats. They also explore the limitations of AI-assisted exploitation, the challenges of AI guardrails for security researchers, and what these developments mean for the future of threat intelligence.Featuring: Spencer McIntyre – LinkedInDaniel Whitenack – Website, GitHub, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:VulnCheckGo Exploit frameworkInitial Access IntelligenceSponsors:Hostinger: Create your website today.

22 okt. share.transistor.fm

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Education is Failing our Students in this AI-Driven World

Schools and universities are failing to adapt to our modern world, in which AI is becoming increasingly pervasive in all aspects of life and work. In fact, AI may be changing what should be considered foundational knowledge that all students must learn.In this Fully Connected episode, Daniel and Chris explore the role of AI in education and the future of learning. They note the bureaucratic inhibitors to educational reform, and the fact that classroom teachers don’t have the authority to innovate and personalize the learning process for their students, and discuss how AI tools can support personalized learning while preserving critical thinking, creativity, and problem-solving skills.Featuring: Daniel Whitenack – Website, GitHub, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XSponsors:SerpAPI: A Web Search API that gives developers real-time, structured access to search engine results. Visit serpapi.com/practicalai to get started for free and get 250 searches every month.

15 okt. share.transistor.fm

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Narrative intelligence and the human advantage

As AI reshapes how we work, create, and think about our roles, staying adaptable means understanding not just the technology, but our own stories and identities. Reed Frerichs joins Daniel and Chris to explore narrative intelligence, storytelling, leadership, and personal growth in an AI-driven world. They discuss how entrepreneurs and leaders can use AI tools to navigate changing roles, embrace uncertainty, and develop emotional intelligence along with Reed's “own, author, act” framework.Featuring: Reed Frerichs – Website, LinkedIn, InstagramDaniel Whitenack – Website, GitHub, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:Inner Story Series (YouTube)Inner Story Series (Spotify)Inner Story Essays (Substack)Inner Story (Website)Inner Story (Instagram)EverspaceThe LessonSponsors:Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiPrediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiResources and Events:Register for upcoming webinars here!Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026

8 okt. share.transistor.fm

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Open models and the future of Physical AI with NVIDIA

As AI moves beyond the cloud and into robots, vehicles, and other physical systems, new approaches to models, simulation, and inference are emerging. Daniel and Chris are joined by Ming-Yu Liu, Vice President of Cosmos Lab at NVIDIA, who shares his perspective on open models, world models, and the future of physical AI. They explore why open models matter for innovation, how world models can help AI understand and simulate the physical world, and what it could take to build increasingly capable physical AI systems.Featuring: Ming-Yu Liu – LinkedInDaniel Whitenack – Website, GitHub, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:NVIDIA CosmosSponsors:Midwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#ticketsPrediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiResources and Events:Register for upcoming webinars here!Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026

1 okt. share.transistor.fm

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From AGENTS.md to Enterprise Deployment

AI agents are moving beyond laptops and prototypes and into enterprise environments where security, compliance, scalability, and reliability matter. Nick Kuhn from VMware Tanzu Platform joins Daniel and Chris to discuss what changes (and what doesn’t) when deploying agents alongside traditional applications. They explore agent build packs, MCP gateways, shared memory, identity, sandboxing, and what enterprises can learn from years of platform engineering. Nick also shares practical advice for organizations adopting agents today and looks at what the future of AI could mean for enterprise teams and software development.Featuring: Nick Kuhn – LinkedInDaniel Whitenack – Website, GitHub, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XSponsors:Midwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#ticketsPrediction Guard: A self-hosted AI control plane for running agents in high impact environments.

24 sep. share.transistor.fm

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How to get discovered in AI search

I poddavsnitt av Practical AI diskuterar Liam Dunne och Ben Moore från Discovered Labs hur AI-sökning förändrar hur människor hittar information. De tar upp skillnaden mellan traditionell sökmotoroptimering och AI-sökning, hur stora språkmodeller genererar svar bakom kulisserna, och varför det inte räcker med att bara dyka upp i källhänvisningar. De förklarar begrepp som AI-synlighet, Reddit-strategi, och hur AI-modeller representerar information i sina vikter. Avslutningsvis beskriver de en framtid där AI-agenter inte bara hittar webbplatser utan också kan interagera med dem och utföra åtgärder för användarnas räkning.

17 sep. share.transistor.fm

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Computer-Use Agents and the Future of the Agentic Internet

I podcasten diskuterar Demetrios Brinkmann och Chris Benson hur AI-agenter blir allt bättre på att använda datorer och interagera med mjukvara för att utföra uppgifter på användarnas vägnar. De täcker ämnen som MCP (standarden som kopplar AI-modeller till verktyg), agent harnesses (ramverk som styr hur agenter fungerar), och hur agenter kan kommunicera med varandra. De diskuterar också hur dessa verktyg redan automatiserar vardagliga uppgifter, utmaningarna med att implementera dem i företag, och hur relationen mellan AI-modeller och agent harnesses utvecklas.

10 sep. share.transistor.fm

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Less about Models; More about Architecture

I podden diskuterar Chetan Gupta, Chief AI Officer på Rackspace, hur företag bör tänka när de går från att experimentera med AI till att använda det i verklig drift. Huvudbudskapen är att organisationer ofta fokuserar för mycket på vilka AI-modeller de väljer, och för lite på hur de bygger arkitekturen omkring dem — alltså hur systemen faktiskt hänger ihop. Gupta tar upp frågor om AI-styrning, hur man säkerställer att AI följer regler, och var data lagras och behandlas.

3 sep. share.transistor.fm

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Building the Foundation for the Agentic AI Era

Angie Jones, VP för Agentic AI Foundation, diskuterar hur man bygger ett ekosystem där AI-agenter — självständiga AI-system som kan utföra uppgifter — samt verktyg och system kan samarbeta i stor skala. De talار om öppna standarder som MCP (Model Context Protocol) och A2A som ska göra det möjligt för olika AI-system att arbeta tillsammans. Avsnittet täcker också hur organisationer kan öka AI-användningen bland sina medarbetare, vikten av neutrala standarder, hur AI-adoption ser ut globalt, och hur människor kan bestämma vad de ska delegera till AI och vad de själva ska göra.

28 aug. share.transistor.fm

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AI Proficiency: From Users to Builders

Podden diskuterar hur organisationer bör tänka om AI-kompetens på olika nivåer i sina team, från nybörjare till avancerade builders. Mike Lewis från TiER1 Performance presenterar ett ramverk (L0–L3) för hur företag kan hjälpa anställda att arbeta med AI utan att bara tvinga adoption. Samtalet fokuserar på att identifiera rätt personer för att bygga AI-lösningar, omvandla erfarenhet till faktiska processer, och hitta verklig affärsnytta från AI-investeringar.

25 aug. share.transistor.fm

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