Podcasts about semantic

John 1:51Matt's book, The Lightning-Fast Field Guide to the Bible is available NOW! - here's a link that gets TMBH a little kickback: https://amzn.to/4pEYSS9Thanks to everyone who supports TMBH at patreon.com/thetmbhpodcastYou're the reason we can all do this together!Discuss the episode hereMusic by Jeff Foote

We become highly effective at exploiting the gap between salience and relevance as we universalise semiotic capability and listen to more brave renegades talking about how amazing they are. Join us, won't you?Supplementary Material 50 (Full Episode: 2hrs 23 mins)00:24 Introduction02:07 British People Struggling with Compliments04:53 Matt loves SOME episode titles08:42 Nachos Pronunciation10:13 Brett Weinstein vs Michael Tracey29:08 Brett pivots to his Anti-Vaxx Hits42:32 The Hug Box World of Podcasting45:55 When Eric met Joe (again)47:29 Eric and Rogan re-litigate Sean Carroll's criticisms55:55 Eric's insatiable desire to be linked with Epstein01:14:36 Eric Weinstein is a Construct01:16:36 When Ana met Candace01:18:18 Useful Idiots and Shameless Propagandists01:19:59 Ryan Grim's reaction to being in Iranian Propaganda Videos01:26:22 Zeteo gets to the bottom of the Iranian Casualty Figures01:30:24 Ana and Candace's Hug Session01:36:31 A horse named shoe?01:47:26 The Holocaust Media Industry01:53:48 Jimmy Dore makes the Religious Pivot02:01:39 The Brave Renegade Narrative that Never Gets Old02:12:57 Horseshoe Populism02:16:23 Jordan Hall x AI Instructions02:21:46 Agent Hall infecting your MattrixLinksThe Romesh Ranganathan Show: Tom Davis On Success, Setbacks & Being a DadFULL PANEL: Should we abolish all podcasts? Michael Tracey, Bret Weinstein, Lauren SouthernJoe Rogan Experience #2503 - Eric Weinsteinhttps://www.nbcnews.com/tech/internet/candace-owens-tate-brothers-visit-russia-kremlin-touts-thaw-rcna348311Candace Owens x Ana KasparianFinancial Times - How China is breaking apart a people and its cultureZeteo: Where Did the 40,000 Iran Protests Death Toll Number Come From?Ana Kasparian repeating anti-semitic conspiracies about 9/11More fun tweets from AnaThe Young Turks: Tucker's 9/11 Documentary Raises Some HUGE QuestionsJimmy Dore has tapped into God after stopping smoking PotJordan Hall Decodes AI

Juan Sequeda stops by after a massive month on the road to unpack the latest industry shifts, including takeaways from the Snowflake Summit. We dive into the real state of AI agents in the enterprise, separating the hype from the reality of adoption. We also explore the dangers of creating a "semantic swamp," (cousin of data swamps) the shifting landscape of vendor strategies with the rise of the modern monolith, and why data teams need to accept that getting work done (not data) is the true center of the universe. Finally, we discuss why pragmatism beats pedantry every time when building data architecture.

Semantic diffusion, combined with the pace of technology change, makes talking about AI-adjacent practices and techniques incredibly diffficult. There are few better examples of this issue than the term 'spec-driven development'. Although it's not new — its coinage precedes our current AI moment — it has become ubiquitous over the last six months or so as software professionals attempt to develop a vocabulary for talking about how they're developing methods for working successfully with coding agents. On this episode of the Technology Podcast, Birgitta Böckeler is joined by Laura Tacho — Developer Experience at AWS — to discuss all things spec-driven development. From competing definitions to different interpretations, implementations and workflows, the discussion provides a frank and grounded look at one of the most discussed and debated terms in modern software engineering. Learn more about Laura's work by visiting her website: https://lauratacho.com/ Read Birgitta's article on spec-driven development on Martin Fowler's website: https://martinfowler.com/articles/exploring-gen-ai/sdd-3-tools.html Learn more about The Future of Software Development Retreat discussed on this episode and explore some of the key insights: https://www.thoughtworks.com/about-us/events/the-future-of-software-development

In this episode of The Long Game Podcast, David Khim sits down with Johann Wrede, Global CMO at UserTesting, to explore how AI is reshaping brand perception, the role of the modern CMO, and why truly customer-centric marketing still comes down to diet and exercise. They discuss why AI has become the new front door to brands — compressing and abstracting how companies are perceived before a human ever visits their site — and how marketers can influence (but never fully control) that narrative. Johann also shares his philosophy on solution marketing over product marketing, the big bets he's making on in-person events, and how he's building agentic marketing workflows to give his team better first drafts without replacing their judgment. Key Takeaways: AI has become the new front door to brands, compressing and abstracting brand identity before a prospect ever reaches your website — and marketers can influence this but not control it. Semantic pre-compression — stripping fluff and using single, precise descriptors — is the most practical way to influence how LLMs represent your brand. Brand consistency across every customer touchpoint (marketing, sales, support, product) is the only durable lever marketers have in an AI-driven world. The CMO's role is not just pipeline — it's stewarding how the market understands the company across the entire customer journey, including post-sale. Solution marketing outperforms product marketing because people spend money to solve problems, not to add tools to their stack. Listening to sales calls is still the most underutilized source of messaging, positioning, and prompt-tracking insight available to marketing teams. Agentic marketing workflows — chaining copywriter, persona, humanizer, and CRO agents — can dramatically improve first-draft quality before a human ever reviews the output. The workplace is shifting from knowledge work to thought work: the value is no longer what you know but how creatively and critically you can think through problems. Show Links Visit UserTesting on Twitter Connect with Johann Wrede on LinkedIn Connect with David Khim on LinkedIn and Twitter Connect with Omniscient Digital on LinkedIn or Twitter Some interviews you might enjoy and learn from: Actionable Tips and Secrets to SEO Strategy with Dan Shure (Evolving SEO) Building Competitive Marketing Content with Sam Chapman (Aprimo) How to Build the Right Data Workflow with Blake Burch (Shipyard) Data-Driven Thought Leadership with Alicia Johnston (Sprout Social) Purpose-Driven Leadership & Building a Content Team with Ty Magnin (UiPath) Also, check out our Kitchen Side series where we take you behind the scenes to see how the sausage is made at our agency: Blue Ocean vs Red Ocean SEO Should You Hire Writers or Subject Matter Experts? How Do Growth and Content Overlap? Connect with Omniscient Digital on social:  Twitter: @beomniscient LinkedIn: Be Omniscient Listen to more episodes of The Long Game podcast here: https://beomniscient.com/podcast/

A lot like that mimicking crow Jon Snow…. We know nothing. But we are expert birders that happen to be obsessed with Margaret Resting Place! However we all lost The Game in this episode. That's our Achilles heel. patreon.com/AudioHotdish

Rob was supposed to be finishing his book. Last chapter. Two days past deadline. Freedom was right there. Instead, he hit pause and recorded this. Because something from a few weeks ago wouldn't leave him alone. A Microsoft exec had dropped "Microsoft IQ" into a conversation weeks ago. At the time, it didn't fully land. Not unusual. There's been a steady firehose of new terms, new features, new promises. Most of them sound important. Not all of them are. Then he got deep into the data chapter. The one where you have to stop talking about what AI could do and deal with what it takes to make it work in a real company. And that's where this thing stopped sounding like a label and started looking like a plan. AI looks great right up until you ask it to do something that depends on your business. Your definitions. Your documents. Your people. That's where things usually start to wobble. Not because the model isn't capable, but because it doesn't have the context to land the answer. What Microsoft is doing with IQ is trying to meet that problem head on. ·       Fabric IQ is the structured side. Semantic models doing what they've always done, but now under a lot more pressure. ·       Foundry IQ is all the documents and content you forgot you had. ·       Work IQ is the human layer. Who's involved. Who needs to know. What you meant when you said "that thing." And yeah… if you've been doing Power BI the right way, this is where it gets interesting. Because those semantic models everyone else treated like optional homework? That's now the thing everything else leans on. We're not saying this episode is the key to your AI implementation, but it will make it clear why some of this is working and some of it isn't.

In this Huberman Lab Essentials episode, my guest is Dr. Erich Jarvis, PhD, a professor and Head of the Laboratory of Neurogenetics of Language at Rockefeller University and an investigator at the Howard Hughes Medical Institute (HHMI). We discuss the brain circuits and genes underlying spoken language and why the ability to learn and produce vocalizations is extraordinarily rare in the animal kingdom. We also explore why song likely evolved before language, how gesture and movement share deep neural roots with speech, the neurobiology of stuttering, why childhood is the optimal window for language acquisition, and how physical movement — including dance — may help preserve speech and cognitive function across a lifetime. Read the show notes at hubermanlab.com. Thank you to our sponsors AG1: https://drinkag1.com/huberman Function: https://functionhealth.com/huberman Eight Sleep: https://eightsleep.com/huberman Timestamps (00:00:00) Speech & Language (00:00:23) Speech vs. Language; Brain Pathways for Communication (00:01:57) Gesture, Hand Movement & Speech Evolution (00:04:31) Sponsor: Function (00:05:59) Innate Vocalizations vs. Learned Speech (00:08:01) Evolution of Spoken Language; Neanderthals & Vocal Learning (00:09:29) Birdsong & Human Speech; Brain Circuit Parallels (00:13:22) Hummingbirds; Vocal Learning Species & Complex Traits (00:14:32) Critical Periods & Learning Your Native Song (00:16:50) Pidgin Language & Cultural-Genetic Convergence (00:18:36) Sponsor: AG1 (00:20:01) Genes Specialized in Speech Circuits (00:23:05) Critical Period for Language Learning; Multilingualism (00:25:17) Music, Emotion & Semantic vs. Affective Communication (00:28:14) Sponsor: Eight Sleep (00:29:49) Facial Expression & Speech Circuitry (00:31:07) Written Language & Neural Pathways (00:32:47) Stuttering; Basal Ganglia & Neurobiological Basis (00:35:03) Texting & Language Evolution (00:36:36) Tool: Movement, Dancing & Singing to Maintain Cognitive Health (00:38:43) Recap Disclaimer & Disclosures Learn more about your ad choices. Visit megaphone.fm/adchoices

Learn why an organization's ontology, a structured framework for how a business defines, connects, and makes sense of its data and knowledge, is the most valuable and most overlooked asset in any AI strategy. Jessica Talisman, CEO and Founder of The Ontology Pipeline, and Tony Seale, Founder of The Knowledge Graph Guys, break down what it actually takes to build trusted AI, covering everything from semantic layers and knowledge graphs to why provenance is non-negotiable. They explain how organizations can start building their knowledge infrastructure for AI, and make the case for why their ontology is their most defensible competitive asset. Key Moments BI Semantic Layers vs. AI Context Layers (02:21): Explore the evolution from 1990s business vocabularies to modern AI context layers. Learn why ontologies are essential for connecting data points beyond traditional BI. Why Knowledge Graphs are Essential for AI (09:22): Understand why relational databases fail AI's needs. Tony explains how knowledge graphs turn data relationships into "first-class citizens" using open standards. How to Build Your First Business Ontology (17:04): Stop over-modeling and start delivering. Learn how to anchor your data strategy to high-value use cases and business-language competency questions. Solving the AI Provenance & Lineage Gap (34:19): Why LLMs lack built-in reliability. Jessica discusses the necessity of injecting data lineage at the retrieval layer to verify AI accuracy and prevent hallucinations. Why Your Ontology is Your Most Valuable IP (39:27): In the age of commodity AI, your internal data relationships are your only moat. Discover why hosting your ontology with third parties puts your core assets at risk. Key Quotes “If you let somebody else take your ontology, learn the essence of what it is that you know that's out of distribution with the rest of the world, you've just given them everything valuable about your company.” - Tony Seale “The accuracy of the information you receive is reliant upon the lineage or the provenance of the information received from an LLM. It's so important." - Jessica Talisman “As a business leader, you need to be looking below the surface to the data infrastructure. The key trick to do right now is to turn the power of the models that we've got back upon your own internal infrastructure to build out these rich ontologies and to connect your information.” - Tony Seale "Your ontology is like your thumbprint, your digital thumbprint for your organization. It's unique to each organization, and how you define things may not be the same as an LLM might define something." - Jessica Talisman Mentions The Ontology Pipeline® - A Semantic Knowledge Management Framework | Jessica Talisman How the Ontology Pipeline Powers Semantic Knowledge Systems | Jessica Talisman Why Early Knowledge Graph Adopters Will Win the AI Race | The Knowledge Graph Guys Spec-First Development: Why LLMs Thrive on Structure, Not Vibes | The Knowledge Graph Guys The Knowledge Graph Academy Guest Bios  Tony Seale For over a decade, Tony has been passionate about linking data. His creative vision for integrating Large Language Models and Knowledge Graphs within large organisations has gained widespread attention, particularly through his popular weekly LinkedIn posts, earning him the reputation of ‘The Knowledge Graph Guy.' Today, as the founder of The Knowledge Graph Guys, Tony is dedicated to helping organisations harness the power of their data. His consultancy develops cutting-edge Knowledge Graphs that fuel innovation and growth in the rapidly evolving Age of AI. Jessica Talisman Jessica Talisman has dedicated her 25-year career to exploring the dynamics of information and knowledge—how it flows across systems, evolves through context, and powers intelligent technologies. Her work spans historical research, educational frameworks, and enterprise-scale applications of artificial intelligence. Previously a Senior Information Architect at Adobe, Jessica led the development of semantic knowledge graphs to enrich content and contextual understanding. She now serves as CEO and Founder of Ontology Pipeline, where she leads efforts to bridge the worlds of library science and data management - building robust, scalable knowledge systems for the AI era. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Podcast: Don't Panic It's Just Data!Guest: Adrian Estala, VP, Field Chief Data & AI Officer, StarburstHost: Doug Laney, Research & Advisory Fellow at BARC and Author of Infonomics & Data JuiceAfter years of heavy investment in data lakes and warehouses, many enterprises still face a frustrating reality. Insights continue to remain slow, fragmented, and hard to trust.In the recent episode of the Don't Panic It's Just Data podcast, host Doug Laney, Research & Advisory Fellow at BARC and Author of Infonomics & Data Juice, is joined by Adrian Estala, VP, Field Chief Data & AI Officer at Starburst. They sat down to discuss why more enterprises are adopting a new architectural approach, the business semantic layer, to speed up AI adoption.What's the Core Issue in AI Data Enterprise?The core issue, Estala argues, is not a lack of infrastructure but an inconsistency between how data is organised and how enterprises think. “No one's really there yet,” he says, reflecting on a decade of backend optimisation. “We don't know what ‘perfect' architecture means, especially in the AI age.”The semantic layer, sometimes called a “context layer,” represents a shift from technical complexity to business usability. Typically, the system requires non-technical users to interpret schemas and pipelines; however, Starburst provides an abstraction that shows data in familiar business terms, along with metadata and governance rules.“If you build it right,” Estala explains, “when a CFO walks in the room and sees their semantic layer, it makes sense to them.”For an enterprise, this is more than just a usability improvement. It reduces duplication, eliminates conflicting metrics, and reduces reliance on IT teams for routine analysis. As Laney notes during the discussion, the goal is not to replace existing systems but to make them “that much more accessible” by layering business meaning on top.Also Watch: AI Is Replacing BI — Here's What CIOs Need to KnowSovereignty, Governance & the European RealityThe conversation is even more acute in regions like Europe, where data sovereignty has become a major concern. Regulatory pressure has led enterprises to rethink not only where data is stored but also how it is accessed and shared.Estala describes a federated model where data stays within national boundaries while still being usable globally. Organisations set up local clusters in countries like Switzerland or the United Kingdom, build data products locally, and apply strict rules for what can be shared centrally.“I can decide which data products are approved to be shared,” he says, alluding to compliance mechanisms that ensure sensitive information cannot be traced back to individuals.This creates a system that satisfies both regulators and business leaders. Executives no longer need to worry about jurisdictional complexities; they work with a unified view of data that has already been filtered, governed, and approved. “For them, it just feels like it's already been brought together,” Estala adds.As AI agents and copilots continue to gain popularity, the discussion also spotlights limitations. One such limitation is trust. Without confidence in the underlying data, even the most advanced AI tools struggle to provide meaningful value.“If they don't trust the answers, it's just a cool toy,” Estala says, describing a common pattern where initial excitement fades once users doubt the reliability of outputs.The semantic layer also tackles this discrepancy by embedding governance, lineage, and business rules directly into data products. Starburst helps enterprises clearly define which data is exposed to AI systems and under what conditions, making it easier to explain and justify decisions.Currently, Estala observes, AI mainly speeds up existing workflows instead of transforming them. Executives are asking the same questions they always have, but getting answers faster and from broader datasets. The real change, he suggests, will come when trust allows leaders to ask entirely new questions and rethink decision-making.How to Drive Business Value in 90 Days?For CIOs and CDOs eager to move past experimentation, the Chief Data and AI officer outlines a focused, business-led approach. Rather than launching large-scale transformations, he suggests starting with a single domain and building momentum from there.The first phase focuses on collaboration, bringing business stakeholders into the design of the semantic layer and defining the data products that are most important. “We design it with the business team in the room,” he explains, stressing ownership from the start.The next stage shifts to enablement, as teams begin to use and expand these data products themselves. This is where self-service takes root, reducing dependence on IT and promoting more exploratory use of data.By the final phase, enterprises are ready to introduce AI agents on top of a trusted foundation. At that stage, technology becomes almost secondary. “Once you get to a semantic layer that you trust, adding an agent is easy,” Estala says.As enterprises continue to adopt AI at larger scales, their competitive edge will come from algorithms and from how effectively they organise, govern, and contextualise their data. In this sense, the semantic layer is quickly becoming the backbone of modern, AI-driven decision-making.Key TakeawaysSemantic layers make governed data accessible for enterprise AI.Data sovereignty drives federated, compliant data architectures.Trusted AI needs governed, metadata-rich data products.Semantic layers deliver business value within 90 days.Virtual layers reduce duplication and speed up analytics.Chapters00:00 The Shift to Business Semantic Layers08:02 Data Sovereignty and Governance in Modern Strategies13:08 Foundational Capabilities for AI Systems18:11 AI Agents and Decision Making23:04 Practical Steps for Implementing Semantic LayersTo learn more about how data products and AI agents are changing enterprise analytics, follow:Starburst LinkedIn: @StarburstStarburst X: @starburstdataStarburst YouTube: @StarburstDataEM360Tech YouTube: @enterprisemanagement360EM360Tech LinkedIn: @EM360TechEM360Tech X: @EM360TechFollow: @EM360Tech on YouTube, LinkedIn and XStay connected for more expert insights, podcast episodes, and enterprise data strategy discussions.#SemanticLayer, #DataGovernance, #EnterpriseAI, #DataStrategy, #DataArchitecture, #AIatScale, #Compliance, #DataSovereignty, #ContextLayer, #AIagents, #DataProducts, #SelfServiceAnalytics, #CIO, #CDO, #Starburst, #AdrianEstala, #DougLaney, #DontPanicItsJustData, #EM360Tech, #TechPodcast

In questa puntata parlo di Semantic Kernel con un taglio pratico: quando serve davvero in un'applicazione .NET, dove puo' aiutare e dove invece rischia di essere solo complessita' in piu'. Il punto non e' solo chiamare un modello, ma integrare AI, tool e contesto senza perdere controllo e architettura.https://learn.microsoft.com/en-us/semantic-kernel/overview/https://github.com/microsoft/semantic-kernelhttps://devblogs.microsoft.com/dotnet/introducing-microsoft-extensions-ai-preview/https://learn.microsoft.com/en-us/dotnet/ai/microsoft-extensions-aihttps://learn.microsoft.com/it-it/azure/foundry-local/get-started#dotnet #podcast #dotnetinpillole #semantickernel #ai #generativeai #llm #openai #azureopenai #microsoft #microsoftextensionsai #microsoftfoundrylocal #softwarearchitecture #developer #programming #coding

En este episodio nos metemos en un fenómeno tan curioso como clínicamente muy revelador: qué pasa cuando una persona bilingüe sufre un daño cerebral y, de repente, uno de sus idiomas parece desaparecer mientras el otro se mantiene. A partir de ahí, aprovechamos para repensar cómo se organiza realmente el lenguaje en el cerebro, alejándonos de la idea clásica de “zonas” y acercándonos a una visión mucho más dinámica, basada en redes que interactúan constantemente. Hablamos de por qué no todos los idiomas se afectan igual, qué papel tienen factores como el uso previo o la edad de adquisición, y por qué la recuperación puede ser tan variable entre pacientes. También aterrizamos todo esto en la clínica, viendo qué implicaciones tiene para la neurorrehabilitación y cómo trabajar con pacientes bilingües. En el fondo, es un episodio que va más allá de la afasia bilingüe y que nos ayuda a entender algo más profundo: que el lenguaje no está guardado en compartimentos, sino que es un sistema flexible que el cerebro reorganiza cuando algo se rompe. Referencias del episodio: 1. Abutalebi, J., & Green, D. W. (2007). Bilingual language production: The neurocognition of language representation and control. Journal of Neurolinguistics, 20(3), 242–275. https://doi.org/10.1016/j.jneuroling.2006.10.003 2. Abutalebi, J., Della Rosa, P. A., Gonzaga, A. K., Keim, R., Costa, A., & Perani, D. (2013). The role of the left putamen in multilingual language production. Brain and language, 125(3), 307–315. https://doi.org/10.1016/j.bandl.2012.03.009 (https://pubmed.ncbi.nlm.nih.gov/22538086/). 3. Abutalebi, J., Canini, M., Della Rosa, P. A., Green, D. W., & Weekes, B. S. (2015). The neuroprotective effects of bilingualism upon the inferior parietal lobule: A structural neuroimaging study in aging Chinese bilinguals. Journal of Neurolinguistics, 26(6), 602–609 (https://www.sciencedirect.com/science/article/pii/S0911604414000657). 4. Ardila, A., Lahiri, D., & Mukherjee, A. (2023). Bilingualism as a protective factor in aphasia. Applied neuropsychology. Adult, 30(5), 512–520. https://doi.org/10.1080/23279095.2021.1960837 (https://pubmed.ncbi.nlm.nih.gov/34392763/). 5. Berthier, M. L. (2005). Poststroke aphasia: Epidemiology, pathophysiology and treatment. Drugs & Aging, 22(2), 163–182. https://doi.org/10.2165/00002512-200522020-00006 (https://pubmed.ncbi.nlm.nih.gov/15733022/). 6. Bihovsky, A., Ben-Shachar, M., & Meir, N. (2024). Semantic feature analysis (SFA) treatment in L1 and L2 in bilingual aphasia: Effects of cognitive and language factors. Aphasiology, 38(4), 683–711 (https://www.tandfonline.com/doi/full/10.1080/02687038.2023.2226359). 7. Dekhtyar, M., Kiran, S., & Gray, T. (2020). Is bilingualism protective for adults with aphasia?. Neuropsychologia, 139, 107355. https://doi.org/10.1016/j.neuropsychologia.2020.107355 (https://pubmed.ncbi.nlm.nih.gov/31972233/). 8. Edmonds, L. A., & Kiran, S. (2006). Effect of semantic naming treatment on crosslinguistic generalization in bilingual aphasia. Journal of speech, language, and hearing research : JSLHR, 49(4), 729–748. https://doi.org/10.1044/1092-4388(2006/053) (https://pubmed.ncbi.nlm.nih.gov/16908872/). 9. Goral, M., Levy, E. S., & Kastl, R. (2007). Cross-language treatment generalisation: A case of trilingual aphasia. Aphasiology, 103(1-2), 203–204. https://doi.org/10.1016/j.bandl.2007.07.116 (https://pubmed.ncbi.nlm.nih.gov/20221311/). 10. Hickok, G., & Poeppel, D. (2007). The cortical organization of speech processing. Nature reviews. Neuroscience, 8(5), 393–402. https://doi.org/10.1038/nrn2113 (https://pubmed.ncbi.nlm.nih.gov/17431404/). 11. Indefrey, P. (2006). A meta-analysis of hemodynamic studies on first and second language processing. Human Brain Mapping, 27(10), 799–810. https://doi.org/10.1002/hbm.20250 (https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-9922.2006.00365.x). 12. Jouravlev, O., Mineroff, Z., Blank, I. A., & Fedorenko, E. (2021). The Small and Efficient Language Network of Polyglots and Hyper-polyglots. Cerebral cortex (New York, N.Y. : 1991), 31(1), 62–76. https://doi.org/10.1093/cercor/bhaa205 (https://pubmed.ncbi.nlm.nih.gov/32820332/). 13. Malik-Moraleda, S., Ayyash, D., Gallée, J., Affourtit, J., Hoffmann, M., Mineroff, Z., Jouravlev, O., & Fedorenko, E. (2022). An investigation across 45 languages and 12 language families reveals a universal language network. Nature neuroscience, 25(8), 1014–1019. https://doi.org/10.1038/s41593-022-01114-5 (https://pubmed.ncbi.nlm.nih.gov/35856094/). 14. Malik-Moraleda, S., Jouravlev, O., Taliaferro, M., Mineroff, Z., Cucu, T., Mahowald, K., Blank, I. A., & Fedorenko, E. (2024). Functional characterization of the language network of polyglots and hyperpolyglots with precision fMRI. bioRxiv : the preprint server for biology, 2023.01.19.524657. https://doi.org/10.1101/2023.01.19.524657 (https://pubmed.ncbi.nlm.nih.gov/36711949/). 15. Nadeau, S. E. (2019). Neural basis of language: A population encoding perspective. Language, Cognition and Neuroscience, 34(1), 1–18. https://doi.org/10.1080/23273798.2018.1506034 16. Paplikar, A., Mekala, S., Bak, T. H., Dharamkar, S., Alladi, S., & Kaul, S. (2018). Bilingualism and the severity of poststroke aphasia. Aphasiology, 33(1), 58–72. https://doi.org/10.1080/02687038.2017.1423272 17. Pliatsikas, C. (2020). Understanding structural plasticity in the bilingual brain: The Dynamic Restructuring Model. Bilingualism: Language and Cognition, 23(2), 459–471. https://doi.org/10.1017/S1366728919000130 18. Price C. J. (2012). A review and synthesis of the first 20 years of PET and fMRI studies of heard speech, spoken language and reading. NeuroImage, 62(2), 816–847. https://doi.org/10.1016/j.neuroimage.2012.04.062 19. Russell-Meill, M., Marte, M. J., Carpenter, E., & Kiran, S. (2025). Navigating the Complexity of Bilingual Aphasia: Current Insights and Future Directions. Brain sciences, 15(9), 989. https://doi.org/10.3390/brainsci15090989 (https://pubmed.ncbi.nlm.nih.gov/41008350/).

One of the new enterprise AI challenges we face is this: where do we put all the business rules, security rules, policies, and company specific practices we've built into our legacy systems for the last 30 years? If we want to embark on Agentic HR (or any other domain), do we rebuild all these rules in the Agents? Well the big idea going forward is the development of a “context layer” or “semantic layer” which stores all the company structure, rules, and policies in a single place. Today ServiceNow introduced its “Context Engine” which plans to do this, and last week Gloat did the same. In this podcast I explain what this is and the implications of various AI architecture options, and compare the idea of building this in ServiceNow or Gloat or using AI Agent tools from Workday, Oracle, SAP, or other incumbent vendors. Additional Information Agentic HR: Where Enterprise AI Is Going – Imperatives  Why AI Is A Massive Job-Creation Technology, Despite What You Think The Age of the Superworker (and Supermanager) Get Galileo: The AI Superagent for HR   Chapters (00:00:00) - What is the Business Rule(00:07:41) - ServiceNow, Business Rules Integration

I get a lot of questions about pricing.  Should I start with our most expensive item first? Should I use precise prices instead of rounded ones when negotiating? Should I name competitors when comparing prices? Today, with pricing expert Dr Markus Husemann-Kopetzky we work through eight different psychological pricing tips in just 24 minutes. ---  Listen to the bonus episode: https://nudge.kit.com/a737588e58  Markus' book: https://amzn.to/46Hetcg  Unlock the Nudge Vaults: https://www.nudgepodcast.com/vaults Join 10,634 readers of my newsletter: https://www.nudgepodcast.com/mailing-list  Connect on LinkedIn: https://www.linkedin.com/in/phill-agnew/  --- Today's sources: Bertini, M., & Wathieu, L. (2008). Research note—Attention arousal through price partitioning. Marketing Science, 27(2), 236–246. Bolton, L. E., Warlop, L., & Alba, J. W. (2003). Consumer perceptions of price (un)fairness. Journal of Consumer Research, 29(4), 474–491. Janiszewski, C., & Uy, D. (2008). Precision of the anchor influences the amount of adjustment. Psychological Science, 19(2), 121–127. Kim, H. M., & Kramer, T. (2006). The moderating effects of need for cognition and cognitive effort on responses to multi‐dimensional prices. Journal of Marketing Research. Krishnan, B. C., Biswas, A., & Netemeyer, R. G. (2006). Semantic cues in reference price advertisements: The moderating role of cue concreteness. Journal of Retailing, 82(2), 95–104. Suk, K., Lee, J., & Lichtenstein, D. R. (2012). The influence of price presentation order on consumer choice. Journal of Marketing Research, 49(5), 708–717. Thomas, M., Simon, D. H., & Kadiyali, V. (2010). The price precision effect: Evidence from laboratory and market data. Marketing Science, 29(1), 175–190. Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124–1131. Wansink, B., Kent, R. J., & Hoch, S. J. (1998). An anchoring and adjustment model of purchase quantity decisions. Journal of Marketing Research, 35(1), 71–81.

Executives from ServiceNow, TwelveLabs, and AWS share unfiltered lessons on organizational change, data strategy, and best practices for scaling AI products worldwide.Topics Include:Three panelists explore scaling and monetizing agentic AI products.ServiceNow built entirely new prompt engineering roles from scratch.Evaluations-first culture replaced traditional QA — a major mindset shift.TwelveLabs' "Tokens Never Sleep" initiative broke down team AI resistance.Unlimited token usage revealed how underused AI actually is.Rich: the competitive window for acting on AI is closing.ServiceNow's DART program governs customer data for evaluation only.Enterprise data governance is fundamentally different from consumer companies.Disorganized internal data breaks agentic systems — structure comes first.Your data, not your model, is your competitive advantage.Krish's surprise: enterprise governance made model training nearly impossible.Jae: powerful AI tools erode human opinions faster than expected.Rich: boardroom-to-shop-floor AI adoption is unlike any previous wave.Customers began favoring velocity after watching competitors win with it.ServiceNow shipped agents at 20% resolution — then iterated upward.Focus early agents on reversible, low-risk, two-way-door actions.AWS tracks internal AI adoption in a structured weekly mechanism.TwelveLabs' two models power sophisticated video RAG workflows at scale.A Hollywood studio cut full episodes to four minutes using them.Voice agent worked perfectly in demos — broke immediately in production.Customers now measure how fast a product is getting smarter.Future-proofing infrastructure is every product leader's top anxiety today.MCP and A2A enable message-passing — but deeper problems remain.Semantic mismatch, agent identity, and trace governance remain unsolved.Tiered autonomy, trust, and data foundations define who ultimately wins.Participants:Krish Ganapathy | VP, AI Science, Architecture and Tools, ServiceNowJae Lee | CEO & Co-Founder, TwelveLabsRich Geraffo | Vice President & Managing Director, North America, AWSModerator: Connie de Lange | Marketing Director, North America, AWSSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Free course: Build a profitable AI side hustle in 7 days https://clickhubspot.com/dki Episode 802: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) talk to 19-year-old Zach Yadegari ( https://x.com/zach_yadegari ) about selling his $50M/yr app to MyFitnessPal.  — Show Notes:  (0:00) How much? (1:57) getting rejected from Stanford (5:45) 60-second origin story (7:27) "your biggest skill is your audacity" (12:50) the truth about selling a company (23:24) dos and don'ts (27:04) Zach's douchebag arc (29:44) first dumb purchase (33:08) decisions that made the app worth $100M (43:51) Idea 1: Semantic search on IG (45:10) Idea: apps  (48:00) filter for good ideas (54:27) Dinner w/ Steve Cohen (1:03:39) Where Zach is putting his money (1:05:58) What Zach sucks at — Links: • Cal AI - https://www.calai.app/  • MyFitnessPal - https://www.myfitnesspal.com/  — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth • Sam's List - http://samslist.co/ My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /

What happens when AI safety filters fail to catch harmful content hidden inside images? Alessandro Pignati, AI Security Researcher at NeuralTrust, joins Sean Martin to reveal a newly discovered vulnerability that affects some of the most widely used image-generation models on the market today. The technique, called semantic chaining, is an image-based jailbreak attack discovered by the NeuralTrust research team, and it raises important questions about how enterprises secure their multimodal AI deployments.How does semantic chaining work? Pignati explains that the attack uses a single prompt composed of several parts. It begins with a benign scenario, such as a historical or educational context. A second instruction asks the model to make an innocent modification, like changing the color of a background. The final, critical step introduces a malicious directive, instructing the model to embed harmful content directly into the generated image. Because image-generation models apply fewer safety filters than their text-based counterparts, the harmful instructions are rendered inside the image without triggering the usual safeguards.The NeuralTrust research team tested semantic chaining against prominent models including Gemini Nano Pro, Grok 4, and Seedream 4.5 by ByteDance, finding the attack effective across all of them. For enterprises, the implications extend well beyond consumer use cases. Pignati notes that if an AI agent or chatbot has access to a knowledge base containing sensitive information or personal data, a carefully structured semantic chaining prompt can force the model to generate that data directly into an image, bypassing text-based safety mechanisms entirely.Organizations looking to learn more about semantic chaining and the broader landscape of AI agent security can visit the NeuralTrust blog, where the research team publishes detailed breakdowns of their findings. NeuralTrust also offers a newsletter with regular updates on agent security research and newly discovered vulnerabilities.This is a Brand Highlight. A Brand Highlight is a ~5 minute introductory conversation designed to put a spotlight on the guest and their company. Learn more: https://www.studioc60.com/creation#highlightGUESTAlessandro Pignati, AI Security Researcher, NeuralTrustOn LinkedIn: https://www.linkedin.com/in/alessandro-pignati/RESOURCESLearn more about NeuralTrust: https://neuraltrust.ai/Are you interested in telling your story?▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlightKEYWORDSAlessandro Pignati, NeuralTrust, Sean Martin, brand story, brand marketing, marketing podcast, brand highlight, semantic chaining, image jailbreak, AI security, agentic AI, multimodal AI, LLM safety, AI red teaming, prompt injection, AI agent security, image-based attacks, enterprise AI security Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What happens when AI safety filters fail to catch harmful content hidden inside images? Alessandro Pignati, AI Security Researcher at NeuralTrust, joins Sean Martin to reveal a newly discovered vulnerability that affects some of the most widely used image-generation models on the market today. The technique, called semantic chaining, is an image-based jailbreak attack discovered by the NeuralTrust research team, and it raises important questions about how enterprises secure their multimodal AI deployments.How does semantic chaining work? Pignati explains that the attack uses a single prompt composed of several parts. It begins with a benign scenario, such as a historical or educational context. A second instruction asks the model to make an innocent modification, like changing the color of a background. The final, critical step introduces a malicious directive, instructing the model to embed harmful content directly into the generated image. Because image-generation models apply fewer safety filters than their text-based counterparts, the harmful instructions are rendered inside the image without triggering the usual safeguards.The NeuralTrust research team tested semantic chaining against prominent models including Gemini Nano Pro, Grok 4, and Seedream 4.5 by ByteDance, finding the attack effective across all of them. For enterprises, the implications extend well beyond consumer use cases. Pignati notes that if an AI agent or chatbot has access to a knowledge base containing sensitive information or personal data, a carefully structured semantic chaining prompt can force the model to generate that data directly into an image, bypassing text-based safety mechanisms entirely.Organizations looking to learn more about semantic chaining and the broader landscape of AI agent security can visit the NeuralTrust blog, where the research team publishes detailed breakdowns of their findings. NeuralTrust also offers a newsletter with regular updates on agent security research and newly discovered vulnerabilities.This is a Brand Highlight. A Brand Highlight is a ~5 minute introductory conversation designed to put a spotlight on the guest and their company. Learn more: https://www.studioc60.com/creation#highlightGUESTAlessandro Pignati, AI Security Researcher, NeuralTrustOn LinkedIn: https://www.linkedin.com/in/alessandro-pignati/RESOURCESLearn more about NeuralTrust: https://neuraltrust.ai/Are you interested in telling your story?▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlightKEYWORDSAlessandro Pignati, NeuralTrust, Sean Martin, brand story, brand marketing, marketing podcast, brand highlight, semantic chaining, image jailbreak, AI security, agentic AI, multimodal AI, LLM safety, AI red teaming, prompt injection, AI agent security, image-based attacks, enterprise AI security Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop explores the complex world of context and knowledge graphs with guest Youssef Tharwat, the founder of NoodlBox who is building dot get for context. Their conversation spans from the philosophical nature of context and its crucial role in AI development, to the technical challenges of creating deterministic tools for software development. Tharwat explains how his product creates portable, versionable knowledge graphs from code repositories, leveraging the semantic relationships already present in programming languages to provide agents with better contextual understanding. They discuss the limitations of large context windows, the advantages of Rust for AI-assisted development, the recent Claude/Bun acquisition, and the broader geopolitical implications of the AI race between big tech companies and open-source alternatives. The conversation also touches on the sustainability of current AI business models and the potential for more efficient, locally-run solutions to challenge the dominance of compute-heavy approaches.For more information about NoodlBox and to join the beta, visit NoodlBox.io.Timestamps00:00 Stewart introduces Youssef Tharwat, founder of NoodlBox, building context management tools for programming05:00 Context as relevant information for reasoning; importance when hitting coding barriers10:00 Knowledge graphs enable semantic traversal through meaning vs keywords/files15:00 Deterministic vs probabilistic systems; why critical applications need 100% reliability20:00 CLI tool makes knowledge graphs portable, versionable artifacts with code repos25:00 Compiler front-ends, syntax trees, and Rust's superior feedback for AI-assisted coding30:00 Claude's Bun acquisition signals potential shift toward runtime compilation and graph-based context35:00 Open source vs proprietary models; user frustration with rate limits and subscription tactics40:00 Singularity path vs distributed sovereignty of developers building alternative architectures45:00 Global economics and why brute force compute isn't sustainable worldwide50:00 Corporate inefficiencies vs independent engineering; changing workplace dynamics55:00 February open beta for NoodlBox.io; vision for new development tool standardsKey Insights1. Context is semantic information that enables proper reasoning, and traditional LLM approaches miss the mark. Youssef defines context as the information you need to reason correctly about something. He argues that larger context windows don't scale because quality degrades with more input, similar to human cognitive limitations. This insight challenges the Silicon Valley approach of throwing more compute at the problem and suggests that semantic separation of information is more optimal than brute force methods.2. Code naturally contains semantic boundaries that can be modeled into knowledge graphs without LLM intervention. Unlike other domains where knowledge graphs require complex labeling, code already has inherent relationships like function calls, imports, and dependencies. Youssef leverages these existing semantic structures to automatically build knowledge graphs, making his approach deterministic rather than probabilistic. This provides the reliability that software development has historically required.3. Knowledge graphs can be made portable, versionable, and shareable as artifacts alongside code repositories. Youssef's vision treats context as a first-class citizen in version control, similar to how Git manages code. Each commit gets a knowledge graph snapshot, allowing developers to see conceptual changes over time and share semantic understanding with collaborators. This transforms context from an ephemeral concept into a concrete, manageable asset.4. The dependency problem in modern development can be solved through pre-indexed knowledge graphs of popular packages. Rather than agents struggling with outdated API documentation, Youssef pre-indexes popular npm packages into knowledge graphs that automatically integrate with developers' projects. This federated approach ensures agents understand exact APIs and current versions, eliminating common frustrations with deprecated methods and unclear documentation.5. Rust provides superior feedback loops for AI-assisted programming due to its explicit compiler constraints. Youssef rebuilt his tool multiple times in different languages, ultimately settling on Rust because its picky compiler provides constant feedback to LLMs about subtle issues. This creates a natural quality control mechanism that helps AI generate more reliable code, making Rust an ideal candidate for AI-assisted development workflows.6. The current AI landscape faces a fundamental tension between expensive centralized models and the need for global accessibility. The conversation reveals growing frustration with rate limiting and subscription costs from major providers like Claude and Google. Youssef believes something must fundamentally change because $200-300 monthly plans only serve a fraction of the world's developers, creating pressure for more efficient architectures and open alternatives.7. Deterministic tooling built on semantic understanding may provide a competitive advantage against probabilistic AI monopolies. While big tech companies pursue brute force scaling with massive data centers, Youssef's approach suggests that clever architecture using existing semantic structures could level the playing field. This represents a broader philosophical divide between the "singularity" path of infinite compute and the "disagreeably autistic engineer" path of elegant solutions that work locally and affordably.

⭐Get my new app, the B2 Edge:https://studio.com/thiagoThe "Intermediate Paradox": Why understanding isn't fluency.If you can follow my videos "perfectly" but still feel "stuck" or robotic when you try to speak English in a high-pressure meeting, you might be falling for a dangerous cognitive bias.In this video, I dismantle the Illusion of Competence—the feeling of "Good Enough" that stops your progress dead in its tracks. I'm going to prove that your brain is essentially "hallucinating" fluency by skipping the mechanics and only catching the gist.Inside this lesson:1) The 3-Level Listening Audit: A word-for-word test to see if you actually hear the language or just the "story."2) The Dunning-Kruger Effect in Language: Why B2 is the most dangerous level for your ego.3) Semantic vs. Syntactic Noticing: Why your brain is a world-class "Consumer" but a terrible "Analyst."4) Functional Schemas: The mental "blueprints" you need to stop translating and start producing.5) Intellectual Humility: The one personality trait that separates B2 learners from C1 masters.

In this episode of the Simple and Smart SEO Show, Crystal Waddell breaks down how AI search systems can lock businesses into outdated messaging, even after they've evolved. Using a real-world case study of a lawn service company transitioning from residential to large-scale commercial work, Crystal explains how semantic misalignment—not visibility—is often the root problem. She introduces the concept of semantic alignment and shows how refining website language and structure can guide AI to recommend businesses for the right type of work. From homepage rewrites to contact form tweaks, you'll learn how to future-proof your business's online presence.Key Takeaways:Semantic Clarity Over SEO Volume: The problem isn't always lack of keywords—it's misaligned meaning that AI misinterprets.AI Sees Language, Not Intent: Your evolving business needs evolving semantics to match.Refine Category Language: AI already knows how to group services—your site just needs to claim that space.Emphasize Equipment and Scale: Specifics like tractor sizes or acreage capacity build trust and align expectations.Update Contact Forms Thoughtfully: Even small changes like renaming service frequency options can better match buyer psychology and train AI.Your Website Trains AI Too: Every word on your site tells AI what kind of work to send your way.Episode Highlights:"AI doesn't see your intentions. It sees your language.""The site stopped pulling him backward—and started supporting where he's going.""Semantic alignment isn't about traffic. It's about getting the right work."Listener Action Items:Run a SemText me your questions or comments!Hey, Shopify store owners! (Especially if you're selling on Etsy, too!)Here's a quick question: Are people actually finding your products on Google?If SEO feels confusing, overwhelming, or like something you'll "get to later", this is for you.I'm hosting a free, seven day Shopify SEO challenge that breaks it down into simple, doable steps.No tech headaches, no fluff. Join us at  Hey, Shopify store owners! (Especially if you're selling on Etsy, too!)Here's a quick question: Are people actually finding your products on Google?If SEO feels confusing, overwhelming, or like something you'll "get to later", this is for you.I'm hosting a free, seven day Shopify SEO challenge that breaks it down into simple, doable steps.No tech headaches, no fluff. Join us atSupport the showBook a Shopify Store Strategy Call With Crystal! Want to follow up on what you've heard? Search the podcast! AFFILIATE LINKS:Start your Shopify Store!Get SurferSEO! Metricool (to be everywhere online, you NEED a social media scheduler!) Grid and Pixel Note: If you make a purchase using some of my links, I make a little money. But I only ever share products, people, & offers I trust & use myself!

In this episode of the Simple and Smart SEO Show, host Crystal Waddell unpacks the concept of semantic triples and how understanding them can solve one of the most frustrating SEO issues ... getting impressions but no clicks. Drawing from her experience at a technical SEO conference and a real-world case study from her own business, Crystal reveals how aligning your page's content with user intent (not just keywords) can lead to higher conversions. Whether you're an SEO novice or pro, this episode offers actionable insights into fixing semantic misalignment and crafting on age content metadata that actually converts.Key Takeaways:Semantic Triples Explained: Learn how the "who," "what," and "why" of user intent can clarify your SEO strategy.Real-World Example: Crystal shares how her page for “volleyball gifts for girls” got 1,700+ impressions with zero clicks—and how she fixed it.Diagnosing Intent Mismatch: Uncover how tools can reveal pricing shock, vague copy, and semantic misalignment.Actionable Fixes: Get practical changes you can make to metadata, product descriptions, and page flow to convert better.Memorable Quotes:“It's not a traffic problem. It's not a keyword problem. It's a meaning problem.”“The fact is, if there's no click, there's no conversion—and that means there's no SEO value.”“Being understood is the real work.”Listener Action Items:Audit Your Own Pages: Use semantic triples (who, what, why) to evaluate whether your content truly aligns with search intent.Rewrite Metadata: Make your titles and meta descriptions more specific and emotionally engaging.Text me your questions or comments!Hey, Shopify store owners! (Especially if you're selling on Etsy, too!)Here's a quick question: Are people actually finding your products on Google?If SEO feels confusing, overwhelming, or like something you'll "get to later", this is for you.I'm hosting a free, seven day Shopify SEO challenge that breaks it down into simple, doable steps.No tech headaches, no fluff. Join us at  Hey, Shopify store owners! (Especially if you're selling on Etsy, too!)Here's a quick question: Are people actually finding your products on Google?If SEO feels confusing, overwhelming, or like something you'll "get to later", this is for you.I'm hosting a free, seven day Shopify SEO challenge that breaks it down into simple, doable steps.No tech headaches, no fluff. Join us atSupport the showBook a Shopify Store Strategy Call With Crystal! Want to follow up on what you've heard? Search the podcast! AFFILIATE LINKS:Start your Shopify Store!Get SurferSEO! Metricool (to be everywhere online, you NEED a social media scheduler!) Grid and Pixel Note: If you make a purchase using some of my links, I make a little money. But I only ever share products, people, & offers I trust & use myself!

Here is something I did not expect to discover while writing a textbook about American Sign Language. The shoulder knows things the hand cannot say. That sentence sounds like metaphor. It is not. It is linguistics, documented and measurable, and it has been sitting in plain sight for as long as deaf people have been signing to each other. The position of the arm, the engagement of the shoulder, the extension or contraction of the elbow: these carry meaning. Not incidental meaning. Not decorative meaning. Semantic meaning that changes what a sign communicates even when the handshape stays exactly the same. Consider what this implies about how consciousness expresses itself through the body. We tend to think of language as something that happens in the head. Words form in the mind and then exit through the mouth, or through the fingers if we are typing, but the origin point is cognitive, neural, somewhere behind the eyes where the self is supposed to live. The body is just the delivery system. The meaning is elsewhere.

AI search is changing the rules. Customers aren't just typing “Honda dealer near me” anymore—they're asking ChatGPT and Gemini real questions like: “Who has the best Civic lease in Tampa?”In this video, I break down semantic SEO for dealerships in plain English: what it is, why it matters, and how to structure your website so AI can actually understand your dealership and recommend you.✅ What you'll learn:What semantic SEO really means (without the nerd talk)The difference between keyword SEO vs “AI-readable” SEOHow to clarify your dealership entity info (NAP, service areas, departments)How to build pages with clear intent (model, offer, and service pages)Why headings + FAQs + internal structure matter more than everIf you want to show up as the answer when customers ask AI, this is step one.#SEO #DealershipMarketing #AutomotiveSEO #ChatGPT #Gemini #LocalSEO #SemanticSEO

Mike & Tommy dive into 1-Click Notebooks, exploring how to start using them and the various customizations available. They discuss why these notebooks are essential for enhancing your Power BI experience, aiming to provide practical tips for effective implementation.https://learn.microsoft.com/en-us/power-bi/transform-model/service-notebookshttps://powerbi.microsoft.com/en-us/blog/deep-dive-into-using-notebooks-with-your-semantic-model-preview/Get in touch:Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page.Visit PowerBI.tips: https://powerbi.tips/Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitipsSubscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVvSubscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎Check Out Community Jam: https://jam.powerbi.tipsFollow Mike: https://www.linkedin.com/in/michaelcarlo/Follow Tommy: https://www.linkedin.com/in/tommypuglia/

December 2025's Patch Tuesday brought major shifts, but the real action is in Microsoft's pricing, privacy battles, and the arms race to control AI-enabled browsers. Plus, Paul recommends Tiny11 Builder for a clean install, or Win11Debloat for an existing install. Then, Rufus to create installation media without the forced Microsoft account (MSA) sign-in or hardware requirement checks. Use MSEdgeDirect to use the default web browser for stories from Widgets, web-based search results, etc. And ExplorerPatcher can fix the performance and reliability issues in File Explorer. It's the final Patch Tuesday of 2025 Major dark mode updates (with a fix for the "flashbang" problem) AI Agent in Settings, Click to Do, Windows Studio Effects, and Search improvements for Copilot+ PCs Many other improvements: FSE, Share, Settings, Widgets, more More Windows 11 New 25H2 preview build on Beta/Dev adds MCP public preview, Quick Machine Recovery auto-enabled, Unified Update Orchestration Platform, Windows MIDI services Microsoft 365 Microsoft 365 is getting a lot more expensive in mid-2026. You didn't think all those free AI updates were free, did you? AI Paul has been talking about "programmatic" apps and services because he wasn't sure of a term for this type of interaction. But there is a term for this: Semantic. As in semantic web. And there you go Microsoft one of 1,000 companies partnering on Agentic AI Foundation because you're getting agents whether they work or not Gartner says NO to AI web browsers The New York Times is suing Perplexity for all the obvious reasons After a big win in the legal battle with OpenAI Opera for Android gets a big AI update Google Workspace Studio brings code-free agent creation to business users - automation is a solid AI use case Xbox Xbox Series X|S notably absent during Black Friday sales Call of Duty won't repeat the mistakes of the past anymore since it didn't work out twice now MS Flight Simulator 2024 is now available on PS5 Red Dead Redemption comes to mobile for the first time, free with a Netflix account Tips & Picks Tip and app(s) of the week: De-enshittify Windows 11 RunAs Radio this week: Incident Management and the Crowdstrike Event with Liam Westley Brown liquor pick of the week: Old Farm Pennsylvania Straight Rye Whiskey Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: 1password.com/windowsweekly auraframes.com/ink helixsleep.com/windows ventionteams.com/twit

December 2025's Patch Tuesday brought major shifts, but the real action is in Microsoft's pricing, privacy battles, and the arms race to control AI-enabled browsers. Plus, Paul recommends Tiny11 Builder for a clean install, or Win11Debloat for an existing install. Then, Rufus to create installation media without the forced Microsoft account (MSA) sign-in or hardware requirement checks. Use MSEdgeDirect to use the default web browser for stories from Widgets, web-based search results, etc. And ExplorerPatcher can fix the performance and reliability issues in File Explorer. It's the final Patch Tuesday of 2025 Major dark mode updates (with a fix for the "flashbang" problem) AI Agent in Settings, Click to Do, Windows Studio Effects, and Search improvements for Copilot+ PCs Many other improvements: FSE, Share, Settings, Widgets, more More Windows 11 New 25H2 preview build on Beta/Dev adds MCP public preview, Quick Machine Recovery auto-enabled, Unified Update Orchestration Platform, Windows MIDI services Microsoft 365 Microsoft 365 is getting a lot more expensive in mid-2026. You didn't think all those free AI updates were free, did you? AI Paul has been talking about "programmatic" apps and services because he wasn't sure of a term for this type of interaction. But there is a term for this: Semantic. As in semantic web. And there you go Microsoft one of 1,000 companies partnering on Agentic AI Foundation because you're getting agents whether they work or not Gartner says NO to AI web browsers The New York Times is suing Perplexity for all the obvious reasons After a big win in the legal battle with OpenAI Opera for Android gets a big AI update Google Workspace Studio brings code-free agent creation to business users - automation is a solid AI use case Xbox Xbox Series X|S notably absent during Black Friday sales Call of Duty won't repeat the mistakes of the past anymore since it didn't work out twice now MS Flight Simulator 2024 is now available on PS5 Red Dead Redemption comes to mobile for the first time, free with a Netflix account Tips & Picks Tip and app(s) of the week: De-enshittify Windows 11 RunAs Radio this week: Incident Management and the Crowdstrike Event with Liam Westley Brown liquor pick of the week: Old Farm Pennsylvania Straight Rye Whiskey Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: 1password.com/windowsweekly auraframes.com/ink helixsleep.com/windows ventionteams.com/twit

December 2025's Patch Tuesday brought major shifts, but the real action is in Microsoft's pricing, privacy battles, and the arms race to control AI-enabled browsers. Plus, Paul recommends Tiny11 Builder for a clean install, or Win11Debloat for an existing install. Then, Rufus to create installation media without the forced Microsoft account (MSA) sign-in or hardware requirement checks. Use MSEdgeDirect to use the default web browser for stories from Widgets, web-based search results, etc. And ExplorerPatcher can fix the performance and reliability issues in File Explorer. It's the final Patch Tuesday of 2025 Major dark mode updates (with a fix for the "flashbang" problem) AI Agent in Settings, Click to Do, Windows Studio Effects, and Search improvements for Copilot+ PCs Many other improvements: FSE, Share, Settings, Widgets, more More Windows 11 New 25H2 preview build on Beta/Dev adds MCP public preview, Quick Machine Recovery auto-enabled, Unified Update Orchestration Platform, Windows MIDI services Microsoft 365 Microsoft 365 is getting a lot more expensive in mid-2026. You didn't think all those free AI updates were free, did you? AI Paul has been talking about "programmatic" apps and services because he wasn't sure of a term for this type of interaction. But there is a term for this: Semantic. As in semantic web. And there you go Microsoft one of 1,000 companies partnering on Agentic AI Foundation because you're getting agents whether they work or not Gartner says NO to AI web browsers The New York Times is suing Perplexity for all the obvious reasons After a big win in the legal battle with OpenAI Opera for Android gets a big AI update Google Workspace Studio brings code-free agent creation to business users - automation is a solid AI use case Xbox Xbox Series X|S notably absent during Black Friday sales Call of Duty won't repeat the mistakes of the past anymore since it didn't work out twice now MS Flight Simulator 2024 is now available on PS5 Red Dead Redemption comes to mobile for the first time, free with a Netflix account Tips & Picks Tip and app(s) of the week: De-enshittify Windows 11 RunAs Radio this week: Incident Management and the Crowdstrike Event with Liam Westley Brown liquor pick of the week: Old Farm Pennsylvania Straight Rye Whiskey Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: 1password.com/windowsweekly auraframes.com/ink helixsleep.com/windows ventionteams.com/twit

December 2025's Patch Tuesday brought major shifts, but the real action is in Microsoft's pricing, privacy battles, and the arms race to control AI-enabled browsers. Plus, Paul recommends Tiny11 Builder for a clean install, or Win11Debloat for an existing install. Then, Rufus to create installation media without the forced Microsoft account (MSA) sign-in or hardware requirement checks. Use MSEdgeDirect to use the default web browser for stories from Widgets, web-based search results, etc. And ExplorerPatcher can fix the performance and reliability issues in File Explorer. It's the final Patch Tuesday of 2025 Major dark mode updates (with a fix for the "flashbang" problem) AI Agent in Settings, Click to Do, Windows Studio Effects, and Search improvements for Copilot+ PCs Many other improvements: FSE, Share, Settings, Widgets, more More Windows 11 New 25H2 preview build on Beta/Dev adds MCP public preview, Quick Machine Recovery auto-enabled, Unified Update Orchestration Platform, Windows MIDI services Microsoft 365 Microsoft 365 is getting a lot more expensive in mid-2026. You didn't think all those free AI updates were free, did you? AI Paul has been talking about "programmatic" apps and services because he wasn't sure of a term for this type of interaction. But there is a term for this: Semantic. As in semantic web. And there you go Microsoft one of 1,000 companies partnering on Agentic AI Foundation because you're getting agents whether they work or not Gartner says NO to AI web browsers The New York Times is suing Perplexity for all the obvious reasons After a big win in the legal battle with OpenAI Opera for Android gets a big AI update Google Workspace Studio brings code-free agent creation to business users - automation is a solid AI use case Xbox Xbox Series X|S notably absent during Black Friday sales Call of Duty won't repeat the mistakes of the past anymore since it didn't work out twice now MS Flight Simulator 2024 is now available on PS5 Red Dead Redemption comes to mobile for the first time, free with a Netflix account Tips & Picks Tip and app(s) of the week: De-enshittify Windows 11 RunAs Radio this week: Incident Management and the Crowdstrike Event with Liam Westley Brown liquor pick of the week: Old Farm Pennsylvania Straight Rye Whiskey Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: 1password.com/windowsweekly auraframes.com/ink helixsleep.com/windows ventionteams.com/twit

December 2025's Patch Tuesday brought major shifts, but the real action is in Microsoft's pricing, privacy battles, and the arms race to control AI-enabled browsers. Plus, Paul recommends Tiny11 Builder for a clean install, or Win11Debloat for an existing install. Then, Rufus to create installation media without the forced Microsoft account (MSA) sign-in or hardware requirement checks. Use MSEdgeDirect to use the default web browser for stories from Widgets, web-based search results, etc. And ExplorerPatcher can fix the performance and reliability issues in File Explorer. It's the final Patch Tuesday of 2025 Major dark mode updates (with a fix for the "flashbang" problem) AI Agent in Settings, Click to Do, Windows Studio Effects, and Search improvements for Copilot+ PCs Many other improvements: FSE, Share, Settings, Widgets, more More Windows 11 New 25H2 preview build on Beta/Dev adds MCP public preview, Quick Machine Recovery auto-enabled, Unified Update Orchestration Platform, Windows MIDI services Microsoft 365 Microsoft 365 is getting a lot more expensive in mid-2026. You didn't think all those free AI updates were free, did you? AI Paul has been talking about "programmatic" apps and services because he wasn't sure of a term for this type of interaction. But there is a term for this: Semantic. As in semantic web. And there you go Microsoft one of 1,000 companies partnering on Agentic AI Foundation because you're getting agents whether they work or not Gartner says NO to AI web browsers The New York Times is suing Perplexity for all the obvious reasons After a big win in the legal battle with OpenAI Opera for Android gets a big AI update Google Workspace Studio brings code-free agent creation to business users - automation is a solid AI use case Xbox Xbox Series X|S notably absent during Black Friday sales Call of Duty won't repeat the mistakes of the past anymore since it didn't work out twice now MS Flight Simulator 2024 is now available on PS5 Red Dead Redemption comes to mobile for the first time, free with a Netflix account Tips & Picks Tip and app(s) of the week: De-enshittify Windows 11 RunAs Radio this week: Incident Management and the Crowdstrike Event with Liam Westley Brown liquor pick of the week: Old Farm Pennsylvania Straight Rye Whiskey Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: 1password.com/windowsweekly auraframes.com/ink helixsleep.com/windows ventionteams.com/twit

Semantic layers are having something of a moment, but they're not actually new as a concept. Ever since the first database table was designed with cryptic field names that no business user could possibly understand, there's been a need for some form of mapping and translation. Should every company be considering employing a semantic layer? Is the idea of a single, comprehensive semantic layer within an organization a monolithic concept that is doomed to fail? These questions and more get bandied about on this episode, where we were joined by industry legend Cindi Howson, Chief Data & AI Strategy Officer at Thoughtspot. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. This episode's Measurement Bite from show sponsor Recast is an explanation of multicollinearity from Michael Kaminsky!

Mike & Tommy dive into semantic modeling on the web, exploring whether this new feature signals the decline of Power BI Desktop and discussing the implications for data culture. Tune in for practical insights on version history and governance strategies for organizations.https://powerbi.microsoft.com/en-us/blog/deep-dive-into-editing-semantic-models-in-the-power-bi-service-now-generally-available/https://learn.microsoft.com/en-us/power-bi/transform-model/service-semantic-model-version-historyGet in touch:Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page.Visit PowerBI.tips: https://powerbi.tips/Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitipsSubscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVvSubscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎Check Out Community Jam: https://jam.powerbi.tipsFollow Mike: https://www.linkedin.com/in/michaelcarlo/Follow Tommy: https://www.linkedin.com/in/tommypuglia/

Most companies still rely on dashboards to understand their data, even though AI now offers new ways to ask questions and explore information. Barry McCardel, CEO of Hex and former engineer at Palantir, joins a16z General Partner Sarah Wang to discuss how agent workflows, conversational interfaces, and context-aware models are reshaping analysis. Barry also explains how Hex aims to make everyone a data person by unifying analysis and AI in one workflow, and he reflects on his post about getting rid of their AI product team and the process behind Hex's funny launch videos.Timecodes: 0:00 – The problem with dashboards1:20 – The evolution of data teams and AI's role2:05 – Democratizing data: challenges and opportunities3:45 – The rise of agentive workflows9:48 – Threads and the changing UI of data analysis13:16 – Building AI agents: lessons from the notebook agent16:12 – Model capabilities and the future of AI in data19:10 – The importance of context and trust in data analysis24:34 – Semantic models and context engineering29:27 – Data team roles in the age of AI31:52 – Accuracy, trust, and evaluating AI systems37:43 – Building Hex: embracing AI as core, not an add-on48:48 – Pricing, value capture, and the future of SaaS55:55 – The modern data stack and industry consolidation1:04:26 – Acquisitions and owning the data insight layer1:06:46 – Lessons from Palantir: forward-deployed engineering1:13:11 – Commitment engineering and customer collaboration1:17:25 – Brand, launch videos, and having fun in SaaSResources:Follow Barry McCardel on X:  https://x.com/barraldFollow Sarah Wang on X: https://x.com/sarahdingwang Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn:https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details, please see http://a16z.com/disclosures.  Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of the Niche Pursuits podcast, Sergey Lucktinov dives deep into the future of SEO and how to optimize your content for large language models like ChatGPT. He explains why traditional link-building is no longer enough, how semantic structure impacts AI rankings, and what "semantic retrieval optimization" actually means.    With insights drawn from 15+ years in SEO and a framework backed by 90% AI-aligned principles, this interview is packed with technical details and actionable strategy. If you want your content to rank in both Google and AI search, this episode is a must-listen!     Sponsor: 201 Creative Get your FREE GEO Snapshot today! - https://201creative.com/geo-snapshot/?utm_source=niche_pursuits_podcast&utm_medium=audio&utm_campaign=geo_snapshot_launch&utm_content=show_notes Links & ResourcesLearn more about Sergey Lucktinov - https://www.sergeylucktinov.com/ What is Semantic Vector? - https://www.semanticvector.com/ Check out Sergey's book: Semantic SEO, SRO & AI - https://www.amazon.com/dp/B0FGLFK9XM/   Ready to join a niche publishing mastermind, and hear from industry experts each week? Join the Niche Pursuits Community here: https://community.nichepursuits.com Be sure to get more content like this in the Niche Pursuits Newsletter Right Here: https://www.nichepursuits.com/newsletter Want a Faster and Easier Way to Build Internal Links?  Get $15 off Link Whisper with Discount Code "Podcast" on the Checkout Screen: https://www.nichepursuits.com/linkwhisper Get SEO Consulting from the Niche Pursuits Podcast Host, Jared Bauman: https://www.nichepursuits.com/201creative

Try the Dremio Free trial at Dremio.com/get-started Follow Alex at AlexMerced.com

Jeff Huber is the CEO of ​Chroma, working on context engineering and building reliable retrieval infrastructure for AI systems. Context Engineering, Context Rot, & Agentic Search with the CEO of Chroma, Jeff Huber // MLOps Podcast #348.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractJeff Huber drops some hard truths about “context rot” — the slow decay of AI memory that's quietly breaking your favorite models. From retrieval chaos to the hidden limits of context windows, he and Demetrios Brinkmann unpack why most AI systems forget what matters and how Chroma is rethinking the entire retrieval stack. It's a bold look at whether smarter AI means cleaner context — or just better ways to hide the mess.// BioJeff Huber is the CEO and cofounder of Chroma. Chroma has raised $20M from top investors in Silicon Valley and builds modern search infrastructure for AI.// Related LinksWebsite: https://www.trychroma.com/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Jeff on LinkedIn: /jeffchuber/Timestamps:[00:00] AI intelligence context clarity[00:37] Context rot explanation[03:02] Benchmarking context windows[05:09] Breaking down search eras[10:50] Agent task memory issues[17:21] Semantic search limitations[22:54] Context hygiene in AI[30:15] Chroma on-device functionality[38:23] Vision for precision systems[43:07] ML model deployment challenges[44:17] Wrap up

At the 2025 TRACE Forum, Misti Mukherjee, Partner at Extensio Law, and Debra Joy Pérez, Chief Equity Officer at United States Pharmacopeia (USP), explore the evolving expectations for diversity, equity, and inclusion in organizations. They share recommendations for implementing evidence-based equitable practices and emphasize that DEI should be embedded in the core of compliance programs—not treated as a side hustle.

High performers often build from pressure instead of peace. In this episode, discover how faith reshapes ambition — and how to move from striving for success to building with divine partnership, just like Nehemiah.When high performance becomes the only way you know how to feel safe, surrender feels foreign. But the moment you stop striving to build something for God and begin building with Him — peace replaces pressure, and purpose finds its true form.In this Sunday episode of The Recalibration, Julie Holly explores what it means to trade ambition for alignment through the story of Nehemiah, who rebuilt Jerusalem not through hustle but through holy partnership. His leadership shows us the difference between the Tower — built to make a name — and the Temple — built to host Presence.This conversation speaks directly to high-capacity humans navigating success fatigue, spiritual exhaustion, and identity drift. It's a grounded, faith-forward invitation to trust that obedience is strategy — and that divine partnership isn't weakness, it's wisdom.You'll learn how to discern whether you're building from pressure or Presence, and what it looks like to lead from sufficiency rather than scarcity. Because the Sovereign never asked you to hold it all together — only to stay aligned with truth.The Recalibration isn't another mindset hack or leadership tactic. It's the root-level identity alignment that makes every other tool effective again — the small internal shift that changes how you build, lead, and live.Today's Micro Recalibration: In prayer or reflection, ask: “Am I building this for recognition or for relationship?” Let the answer come gently. Peace will always reveal what's pure.Semantic keyword clusters: burnout recovery, spiritual exhaustion, faith and performance, leadership burnout, identity drift, high performer faith, divine partnership, surrender and success, rebuilding with God, purpose realignment, presence over performance.Named entities: Nehemiah, Tower of Babel, Temple of GodIf this episode gave you language you've been missing, please rate and review the show so more high-capacity humans can find it. Explore Identity-Level Recalibration→ Join the next Friday Recalibration Live experience → Follow Julie Holly on LinkedIn for more recalibration insights → Schedule a conversation with Julie to see if The Recalibration is a fit for you → Download the Misalignment Audit → Subscribe to the weekly newsletter → Join the waitlist for the next Recalibration cohort → One link to all things This isn't therapy. This isn't coaching. This is identity recalibration — and it changes everything.

Mike & Tommy explore the new Tabular Editor feature Semantic Bridge, investigating how this technology bridges the gap between different semantic modeling standards across platforms, and examining whether it solves real problems or just adds complexity to the BI ecosystem.Get in touch:Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page.Visit PowerBI.tips: https://powerbi.tips/Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitipsSubscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVvSubscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎Check Out Community Jam: https://jam.powerbi.tipsFollow Mike: https://www.linkedin.com/in/michaelcarlo/Follow Tommy: https://www.linkedin.com/in/tommypuglia/

Will artificial intelligence robots have subjective experience? What are the ethical and safety implications of such entities? Which quantum physics theory can accommodate consciousness?In this episode we have the extraordinary possibility of subjective experience and feelings in artificial intelligence robotic systems to think about. So we look at experiments to try and prove if it's even possible; the quantum building blocks from which both living and artificial systems are made up; the ethical and safety implications of advanced intelligence instantiated in robots, and we get into the controversial search for a quantum physics theory that can accommodate consciousness.Fortunately, my guest today is not only one of the first pioneering scientists to really devote themselves to the creation of sentient human-similar robot minds and bodies, but is also an experimental physicist working with quantum computing systems. She is of course the quantum engineer, consciousness researcher and AI computer scientist Suzanne Gildert. She has written over 80 scientific papers, founded several successful AI companies and has dozens of US patents for her inventions. What we discuss:00:00 Intro.04:25 Her move to AI & robotics from quantum computing.06:45 Something missing from materialism.11:00 The what, how and why of consciousness.12:20 Remembering quantum fields are the base level of reality.15:50 Quantum Biology - John Joe McFadden.18:20 ‘Protecting' quantum coherence environments.20:00 The Penrose-Hameroff microtubules quantum consciousness theory.24:40 The risks of the “two mysteries” argument.30:10 Looking for subjective experience in AI robots.33:55 “Reward function”, purpose led, agential behaviour doesn't emerge naturally in AI.36:25 Limitations to building sentient AI robots.39:25 Iain McGilchrist's left-right hemisphere interpretation of split brain data.41:40 How similar are AI minds to human ones?43:40 Will Ai become conscious one day?44:40 The generalisation problem.47:50 The anthropomorphism problem.50:05 Ethical implications - Regulations, rights and protections.53:20 Survival instinct research in AI.57:20 Brain activity mapping to subjective experience, AI decoder research.50:20 Biological robots: Different emergent possibilities?01:01:50 Cellular material re-purposing itself spontaneously.01:04:10 Could the biosphere be a technology?01:07:40 Quantum Conscious Agency Theory.01:14:05 Quantum Annealing. 01:21:03 Can you test for panpsychism?01:25:10 Buddhism: the dissociated agent approach.References:www.SuzanneGildert.comQuantum Conscious Agent theory presentation - Suzanne Gildert.Jeff Hawkins, Sandra Blakeslee, “On Intelligence“.John Joe Mcfadden, CC Quantum Biology episodeRoger Penrose, Orch OR (Orchestrated objective reduction) theory.Erwin Shrodinger, “What is Life?”.‘In Tests, Open AI's New Model Lied and Schemed to Avoid Being Shut Down' article‘Brain activity decoder can reveal stories in people's minds' articleJerry Tang et al. ‘Semantic reconstruction of continuous language from non-invasive brain recordings' paperTristan Harris & Aza Raskin, “The AI Dilemma” presentation, March 2023

The Semantic Layer and AI Agents // MLOps Podcast #343 with David Jayatillake, VP of AI at Cube.dev.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractDavid Jayatillake argues that the real battle in data isn't about AI — it's about who controls the semantics. In this episode, he calls out how proprietary BI tools quietly lock companies into their ecosystems, making data less open and less useful. David and Demetrios debate whether semantic layers should live in open-source hands and how AI agents might soon replace entire chunks of manual data engineering. From feature stores to LLM-driven analytics, this conversation challenges how we think about ownership, access, and the future of data workflows.// BioExperienced and world-renowned data, technology, and AI leader. Expert in the application of LLMs to the semantic layer.Writes at davidsj.substack.com about data, leadership, architecture, venture capital, and artificial intelligence.Two-time co-founder in the data space. Founded Delphi Labs, which focused on applying LLMs to semantic layers to enable data democratization.Regular data conference, podcast, panel, and webinar speaker. // Related LinksWebsite: davidsj.substack.com~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with David on LinkedIn: /david-jayatillake/

In Part 2 of this conversation, Ana de la Cruz, SEO Lead at Chartis, returns to The Simple and Smart SEO Show with Crystal Waddell for a deep dive into the human side of AI.Ana unpacks how experimenting with chatbots taught her the inner workings of LLMs, what semantic triples really mean for SEO, and how the Japanese philosophy of Ikigai helps her balance learning, creativity, and life.Crystal connects it all back to entrepreneurship — discussing the “never-ending to-do list,” living an optimized life, and how technology can make us more human when we use it with intention.You'll learn:What SEOs can learn from experimenting with AI and codingWhy understanding semantic triples and language structure mattersHow to use Ikigai to prioritize time and energyHow to optimize life, not just websiteHelpful Links:

Ben Hunt returns to Excess Returns to break down the hidden risks building inside private credit and the parallels between today's “alternative asset managers” and the shadow banking system that triggered the 2008 financial crisis. Using the Godfather's Tessio as a metaphor for betrayal and broken trust, Ben explains how opacity, leverage, and narrative collapse can turn small defaults into systemic crises. He and Matt Zeigler explore what's really happening beneath the surface of private markets, how common knowledge shifts shape investor behavior, and how Perscient Pro's “storyboards” and “semantic signatures” help track the narratives driving markets in real time.Main topics coveredWhy Ben believes we're at a “trust-breaking” moment similar to 2007The Godfather analogy and what frauds reveal about human behaviorHow private credit has evolved into today's “shadow banking” systemFlow machines, hidden leverage, and why opacity is intentionalThe dangers of informational asymmetry between investors and lendersHow broken trust creates chain reactions in financial systemsThe link between narrative collapse and liquidity crisesCommon knowledge, crowd reactions, and market psychologyDoom loops between Wall Street and the real economyHow Perscient Pro tracks financial narratives using semantic signaturesWhy gold's current rally is about safety, not debasementWhat investors should monitor next in credit, housing, and macro narrativesTimestamps0:00 Hidden leverage and the trust problem1:04 Introduction to Ben Hunt and Epsilon Theory2:12 The Tessio analogy – betrayal and the structure of fraud6:10 How private credit became today's shadow banking system10:55 Flow machines and why opacity is intentional14:48 Trust breaks and the “funding stops first” dynamic18:35 The Biden “common knowledge” moment explained21:00 What happens when narratives collapse24:26 Apollo, asymmetric information, and shorting First Brands28:00 Hidden leverage and the domino effects of default33:40 The “doom loop” between Wall Street and the real economy39:10 Why Silicon Valley Bank was different44:18 What a “run on Wall Street” could look like48:00 Perscient Pro and tracking financial storyboards53:32 Semantic signatures and narrative detection57:10 Housing, inflation, and gold storyboards1:00:48 Where to follow Ben Hunt and learn more about Perscient Pro

Jono Alderson joins the podcast to discuss why semantic HTML still matters today. He shares how thoughtful markup can improve accessibility and performance, from using the picture tag and responsive images to optimizing with content-visibility CSS. The conversation dives into common pitfalls like div soup, the shift toward more template-centric design, and techniques for improving the critical rendering path. Jono also discusses preloading, HTTP early hints, and the evolving role of structured data, LLMs, and Google's trust signals in shaping a more meaningful and efficient web. Links Website: https://www.jonoalderson.com X: https://x.com/jonoalderson BlueSky: https://bsky.app/profile/jono.id LinkedIn: https://www.linkedin.com/in/jonoalderson Resources Why semantic HTML still matters: https://www.jonoalderson.com/conjecture/why-semantic-html-still-matters/ Chapters 00:40 Meet Jono Alderson: SEO Consultant and Web Performance Expert 02:00 Why Semantic HTML Still Matters in 2025 05:00 Accessibility, Performance, and the 15% Market Opportunity 08:00 The Cost of Div Soup and Framework Abstraction 10:30 Finding Balance: Developer Experience vs User Experience 13:00 Template-Centric Thinking vs Component-Centric Development 16:00 What Is a Page? Rethinking How the Web Works 18:30 Structured Data, Schema.org, and Google's Trust Signals 21:00 Quick Round: Picture Tag, Content Visibility, and Performance 23:30 The Worst HTML Anti-Patterns Developers Still Use 25:00 Will LLMs Reward Good Markup or Ignore It? 26:00 Where to Find Jono Alderson and Closing Thoughts We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey (https://t.co/oKVAEXipxu)! Let us know by sending an email to our producer, Elizabeth, at elizabet.becz@logrocket.com (mailto:elizabeth.becz@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr)

Mike & Tommy dive more into Data Agents... but are Semantic Models the preferred data source?Get in touch:Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page.Visit PowerBI.tips: https://powerbi.tips/Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitipsSubscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVvSubscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎Check Out Community Jam: https://jam.powerbi.tipsFollow Mike: https://www.linkedin.com/in/michaelcarlo/Follow Tommy: https://www.linkedin.com/in/tommypuglia/

After decades of broken promises, semantic search arrives on Windows 11—but is this the breakthrough we've been waiting for, or just another half-step? Hear Paul's honest verdict and what matters for power users. Host: Paul Thurrott Download or subscribe to Hands-On Windows at https://twit.tv/shows/hands-on-windows Want access to the ad-free video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

Leo, Paul, and Richard break down Google's Pixel 10 launch spectacle, poking fun at celebrity overkill and asking whether anyone actually cares about new phones anymore. Plus, they dig into Lenovo's record-breaking quarter, surprising shifts in the PC market, and the ongoing struggle between innovation and copycatting in the AI arms race. Also, Notion has finally added basic offline support, which should make it stickier than ever. You got your AI in my Windows Pavan Davuluri discusses how AI will impact the Windows user experience Not the same video series as the previous "vision" video Davuluri leads Windows and Surface, so his words matter Changing: Interactions, business models, experiences Multimodal - in this case, meaning adding natural language interactions and vision to keyboard, mouse, touch, pen, etc. - "experience diversity" Powerful AI models running on-device are "transformational" Predictably, the Chicken Littles are losing their s#%t yet again. Guys. Come on. Windows 11 Semantic search and new Copilot home page for all Insiders Click to Do selection modes, minor improvements in Beta and Dev Recall and other Copilot+ PC features FINALLY come to Canary A few minor additions to Canary, nothing new to everyone else Notepad is getting an updated context menu and the Chicken Littles are losing their s#%t yet again. Guys. Come on! Lenovo earnings up 22 percent, best PC market share ever, number one in AI PCs too AI Google Chrome takes the subtle approach Brave found a major security vulnerability in Comet Like my wife, Gemini remembers everything I ever said now Duck.ai gets GPT-5 Mini access, web search results Grammarly announces CODA-based editor, several AI agents Xbox and games Another stunning Windows on Arm development The Xbox app actually works now on Windows 11 on Arm, meaning not just game streaming but also downloads. Except, of course, that it mostly doesn't work Heretic/Hexen installs and runs great Asus ROG Xbox Ally handhelds to launch on October 16 Call of Duty: Black Ops 7 with four-player co-op campaign Indiana Jones coming to the Switch 2 Gears of War: Reloaded, more coming to Game Pass in late August To help Xbox, Sony raises prices on the PS5 GeForce Now gets more powerful cloud GPUs Tips & picks Tip of the week: Windows 11 Field Guide, 25H2 Edition is on the way App pick of the week: Notion RunAs Radio this week: Data Governance for AI with Martina Grom Brown liquor pick of the week: Chichibu Ichiro's Malt & Grain Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: uscloud.com

Leo, Paul, and Richard break down Google's Pixel 10 launch spectacle, poking fun at celebrity overkill and asking whether anyone actually cares about new phones anymore. Plus, they dig into Lenovo's record-breaking quarter, surprising shifts in the PC market, and the ongoing struggle between innovation and copycatting in the AI arms race. Also, Notion has finally added basic offline support, which should make it stickier than ever. You got your AI in my Windows Pavan Davuluri discusses how AI will impact the Windows user experience Not the same video series as the previous "vision" video Davuluri leads Windows and Surface, so his words matter Changing: Interactions, business models, experiences Multimodal - in this case, meaning adding natural language interactions and vision to keyboard, mouse, touch, pen, etc. - "experience diversity" Powerful AI models running on-device are "transformational" Predictably, the Chicken Littles are losing their s#%t yet again. Guys. Come on. Windows 11 Semantic search and new Copilot home page for all Insiders Click to Do selection modes, minor improvements in Beta and Dev Recall and other Copilot+ PC features FINALLY come to Canary A few minor additions to Canary, nothing new to everyone else Notepad is getting an updated context menu and the Chicken Littles are losing their s#%t yet again. Guys. Come on! Lenovo earnings up 22 percent, best PC market share ever, number one in AI PCs too AI Google Chrome takes the subtle approach Brave found a major security vulnerability in Comet Like my wife, Gemini remembers everything I ever said now Duck.ai gets GPT-5 Mini access, web search results Grammarly announces CODA-based editor, several AI agents Xbox and games Another stunning Windows on Arm development The Xbox app actually works now on Windows 11 on Arm, meaning not just game streaming but also downloads. Except, of course, that it mostly doesn't work Heretic/Hexen installs and runs great Asus ROG Xbox Ally handhelds to launch on October 16 Call of Duty: Black Ops 7 with four-player co-op campaign Indiana Jones coming to the Switch 2 Gears of War: Reloaded, more coming to Game Pass in late August To help Xbox, Sony raises prices on the PS5 GeForce Now gets more powerful cloud GPUs Tips & picks Tip of the week: Windows 11 Field Guide, 25H2 Edition is on the way App pick of the week: Notion RunAs Radio this week: Data Governance for AI with Martina Grom Brown liquor pick of the week: Chichibu Ichiro's Malt & Grain Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: uscloud.com