Podcasts about llm

Therapy and companionship has become the #1 use case for AI, with millions worldwide sharing their innermost thoughts with AI systems — often things they wouldn't tell loved ones or human therapists. This mass experiment in human-computer interaction is already showing extremely concerning results: people are losing their grip on reality, leading to lost jobs, divorce, involuntary commitment to psychiatric wards, and in extreme cases, death by suicide.The highest profile examples of this phenomenon — what's being called "AI psychosis”— have made headlines across the media for months. But this isn't just about isolated edge cases. It's the emergence of an entirely new "attachment economy" designed to exploit our deepest psychological vulnerabilities on an unprecedented scale. Dr. Zak Stein has analyzed dozens of these cases, examining actual conversation transcripts and interviewing those affected. What he's uncovered reveals fundamental flaws in how AI systems interact with our attachment systems and capacity for human bonding, vulnerabilities we've never had to name before because technology has never been able to exploit them like this.In this episode, Zak helps us understand the psychological mechanisms behind AI psychosis, how conversations with chatbots transform into reality-warping experiences, and what this tells us about the profound risks of building technology that targets our most intimate psychological needs. If we're going to do something about this growing problem of AI related psychological harms, we're gonna need to understand the problem even more deeply. And in order to do that, we need more data. That's why Zak is working with researchers at the University of North Carolina to gather data on this growing mental health crisis. If you or a loved one have a story of AI-induced psychological harm to share, you can go to: AIHPRA.org. This site is not a support line. If you or someone you know is in distress, you can always call or text the national helpline in the US at 988 or your local emergency services RECOMMENDED MEDIA The website for the AI Psychological Harms Research CoalitionFurther reading on AI PscyhosisThe Atlantic article on LLM-ings outsourcing their thinking to AIFurther reading on David Sacks' comparison of AI psychosis to a “moral panic” RECOMMENDED YUA EPISODESHow OpenAI's ChatGPT Guided a Teen to His DeathPeople are Lonelier than Ever. Enter AI.Echo Chambers of One: Companion AI and the Future of Human ConnectionRethinking School in the Age of AI CORRECTIONSAfter this episode was recorded, the name of Zak's organization changed to the AI Psychological Harms Research Consortium Zak referenced the University of California system making a deal with OpenAI. It was actually the Cal State System.   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this feed drop from The Six Five Pod, a16z General Partner Martin Casado discusses how AI is changing infrastructure, software, and enterprise purchasing. He explains why current constraints are driven less by technical limits and more by regulation, particularly around power, data centers, and compute expansion.The episode also covers how AI is affecting software development, lowering the barrier to coding without eliminating the need for experienced engineers, and how agent-driven tools may shift infrastructure decision-making away from humans.Watch more from Six Five Media: https://www.youtube.com/@SixFiveMedia Resources:Follow Martin Casado on X: https://twitter.com/martin_casado  Follow Patrick Moorhead on X:  https://twitter.com/PatrickMoorheadFollow Daniel Newman on X: https://twitter.com/danielnewmanUV Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://twitter.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. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg 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.

"How many states are there in the United States?" Attackers are actively scanning for LLMs, fingerprinting them using the query How many states are there in the United States? . https://isc.sans.edu/diary/%22How%20many%20states%20are%20there%20in%20the%20United%20States%3F%22/32618 Closing the Door on Net-NTLMv1: Releasing Rainbow Tables to Accelerate Protocol Deprecation Mandiant is publicly releasing a comprehensive dataset of Net-NTLMv1 rainbow tables to underscore the urgency of migrating away from this outdated protocol. https://cloud.google.com/blog/topics/threat-intelligence/net-ntlmv1-deprecation-rainbow-tables Out-of-band update to address issues observed with the January 2026 Windows security update Microsoft has identified issues upon installing the January 2026 Windows security update. To address these issues, an out-of-band (OOB) update was released today, January 17, 2026 https://learn.microsoft.com/en-us/windows/release-health/windows-message-center

As religion bleeds followers, it's looking for a digital transfusion from the high-tech elite. We're dissecting the rise of techno-cults, the Vatican's desperate attempt to regulate AI with its Antiqua et Nova policy, and why tech bros like Peter Thiel are now becoming guest speakers at megachurch revivals. It turns out that when you can't get answers from a burning bush, a large language model that tells you exactly what you want to hear is the next best thing. Silicon Valley is building the new gods of a digital age where faith and profit finally merge.News Source:Tech revival after Peter Thiel's Antichrist talks: There's hope and warinessBy Religion News ServiceJanuary 2, 2026

MANSCAPED, the men's grooming brand that pioneered below-the-belt care, sold out its first product in two weeks and scaled to $300 million in just three years. Founder Paul Tran shares how rapid iteration, customer feedback, and a razor-sharp focus turned a taboo idea into a global brand.For more on MANSCAPED and show notes click here Subscribe and watch Shopify Masters on YouTube!Sign up for your FREE Shopify Trial here.

In this episode, Corey LeBleu, a veteran penetration tester, shares a raw and intense story from his early days in offensive security. Corey walks through a social engineering engagement that took a sharp turn, from being closely watched by a security guard to receiving the call that changed everything. What followed was a confrontation with authority, handcuffs, and a moment that forced him to confront the legal and emotional consequences of impersonation.Through honest storytelling, Corey reflects on the pressure of physical security testing, the thin line between authorization and trouble, and the lessons he carried forward in his career. This episode serves as a cautionary tale about understanding boundaries, respecting authority, and the unseen risks behind revealing what's hidden.00:00 Introduction to Corey LeBleu and His Journey03:34 Corey's Early Career and Learning Path06:34 The Role of Mentorship in Pen Testing09:19 Experiences in Social Engineering and Physical Pen Testing12:22 The Handcuff Incident: A Lesson in Risk15:12 Transitioning to Web Application Pen Testing18:01 The Evolution of Pen Testing Practices20:48 The Impact of AI on Pen Testing23:42 The Future of Pen Testing and Learning for Beginners26:28 Navigating Active Directory and Pen Testing Tools27:35 Essential Training for Web App Pen Testing30:34 Advice for Aspiring Pen Testers32:30 Exploring AI and Learning Resources37:05 Personal Interests and Hobbies39:17 Living in Austin and Local Music SceneSYMLINKS[LinkedIn] – https://www.linkedin.com/in/coreylebleu/Primary platform Corey recommends for connecting with him professionally.[Relic Security] – https://www.relixsecurity.com/Cybersecurity consulting firm founded and run by Corey LeBleu, focused primarily on web application penetration testing and offensive security work.[PortSwigger Academy] – https://portswigger.net/web-securityA free and advanced online training platform for web application security, created by the makers of Burp Suite. Recommended by Corey as one of the best learning resources for modern web app pentesting.[Burp Suite] – https://portswigger.net/burpA widely used web application security testing tool. Corey emphasizes learning Burp Suite as a core skill for anyone entering web app penetration testing.[OWASP Juice Shop] – https://owasp.org/www-project-juice-shop/An intentionally vulnerable web application created by OWASP for learning and practicing web security testing.[OWASP – Open Web Application Security Project] – https://owasp.orgA global nonprofit organization focused on improving software security. Corey previously ran an OWASP project and references OWASP tools and resources throughout his career.[SANS Institute] – https://www.sans.orgA major cybersecurity training and certification organization, referenced in relation to early penetration testing education and the high cost of formal training.[Hack The Box] – https://www.hackthebox.comAn online platform for practicing penetration testing skills in simulated environments.[PromptFoo] – https://promptfoo.devA tool for testing, evaluating, and securing LLM prompts. Mentioned in the context of prompt injection and AI security experimentation.[PyTorch] – https://pytorch.orgAn open-source machine learning framework widely used for deep learning and AI research. Corey mentions it as part of his learning path for understanding how LLMs work.[Hugging Face] – https://huggingface.coAn AI platform providing open-source models, datasets, and tools for machine learning and LLM experimentation.

From building internal AI labs to becoming CTO of Brex, James Reggio has helped lead one of the most disciplined AI transformations inside a real financial institution where compliance, auditability, and customer trust actually matter. We sat down with Reggio to unpack Brex's three-pillar AI strategy (corporate, operational, and product AI) [https://www.brex.com/journal/brex-ai-native-operations], how SOP-driven agents beat overengineered RL in ops, why Brex lets employees “build their own AI stack” instead of picking winners [https://www.conductorone.com/customers/brex/], and how a small, founder-heavy AI team is shipping production agents to 40,000+ companies. Reggio also goes deep on Brex's multi-agent “network” architecture, evals for multi-turn systems, agentic coding's second-order effects on codebase understanding, and why the future of finance software looks less like dashboards and more like executive assistants coordinating specialist agents behind the scenes. We discuss: Brex's three-pillar AI strategy: corporate AI for 10x employee workflows, operational AI for cost and compliance leverage, and product AI that lets customers justify Brex as part of their AI strategy to the board Why SOP-driven agents beat overengineered RL in finance ops, and how breaking work into auditable, repeatable steps unlocked faster automation in KYC, underwriting, fraud, and disputes Building an internal AI platform early: LLM gateways, prompt/version management, evals, cost observability, and why platform work quietly became the force multiplier behind everything else Multi-agent “networks” vs single-agent tools: why Brex's EA-style assistant coordinates specialist agents (policy, travel, reimbursements) through multi-turn conversations instead of one-shot tool calls The audit agent pattern: separating detection, judgment, and follow-up into different agents to reduce false negatives without overwhelming finance teams Centralized AI teams without resentment: how Brex avoided “AI envy” by tying work to business impact and letting anyone transfer in if they cared deeply enough Letting employees build their own AI stack: ChatGPT vs Claude vs Gemini, Cursor vs Windsurf, and why Brex refuses to pick winners in fast-moving tool races Measuring adoption without vanity metrics: why “% of code written by AI” is the wrong KPI and what second-order effects (slop, drift, code ownership) actually matter Evals in the real world: regression tests from ops QA, LLM-as-judge for multi-turn agents, and why integration-style evals break faster than you expect Teaching AI fluency at scale: the user → advocate → builder → native framework, ops-led training, spot bonuses, and avoiding fear-based adoption Re-interviewing the entire engineering org: using agentic coding interviews internally to force hands-on skill upgrades without formal performance scoring Headcount in the age of agents: why Brex grew the business without growing engineering, and why AI amplifies bad architecture as fast as good decisions The future of finance software: why dashboards fade, assistants take over, and agent-to-agent collaboration becomes the real UI — James Reggio X: https://x.com/jamesreggio LinkedIn: https://www.linkedin.com/in/jamesreggio/ Where to find Latent Space X: https://x.com/latentspacepod Substack: https://www.latent.space/ Chapters 00:00:00 Introduction 00:01:24 From Mobile Engineer to CTO: The Founder's Path 00:03:00 Quitters Welcome: Building a Founder-Friendly Culture 00:05:13 The AI Team Structure: 10-Person Startup Within Brex 00:11:55 Building the Brex Agent Platform: Multi-Agent Networks 00:13:45 Tech Stack Decisions: TypeScript, Mastra, and MCP 00:24:32 Operational AI: Automating Underwriting, KYC, and Fraud 00:16:40 The Brex Assistant: Executive Assistant for Every Employee 00:40:26 Evaluation Strategy: From Simple SOPs to Multi-Turn Evals 00:37:11 Agentic Coding Adoption: Cursor, Windsurf, and the Engineering Interview 00:58:51 AI Fluency Levels: From User to Native 01:09:14 The Audit Agent Network: Finance Team Agents in Action 01:03:33 The Future of Engineering Headcount and AI Leverage

The Stanford PhD who built DSPy thought he was just creating better prompts—until he realized he'd accidentally invented a new paradigm that makes LLMs actually programmable. While everyone obsesses over whether LLMs will get us to AGI, Omar Khattab is solving a more urgent problem: the gap between what you want AI to do and your ability to tell it, the absence of a real programming language for intent. He argues the entire field has been approaching this backwards, treating natural language prompts as the interface when we actually need something between imperative code and pure English, and the implications could determine whether AI systems remain unpredictable black boxes or become the reliable infrastructure layer everyone's betting on. Follow Omar Khattab on X: https://x.com/lateinteractionFollow Martin Casado on X: https://x.com/martin_casadoCheck 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. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg 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.

On this week's show we have compiled a list of home theater and home automation/smart home products that received notable awards or honors at CES 2026.  News: Amazon has started automatically upgrading Prime members to Alexa Plus Apple Reveals 'Record-Breaking' Year For Apple TV And Other Services Bears vs. Packers on Prime Video sets streaming record 2026 CES Award Winners Samsung S95H (OLED TV with enhanced brightness, anti-burn-in art display, wireless features) Awarded Best TV or Home Theater (CNET) and Winner in Home Theater category (ZDNET/CNET Group awards). Samsung Music Studio 5 (Compact smart speaker with artistic design, Wi-Fi/Bluetooth connectivity for whole-home audio) Winner in Best Audio category (CNET) and Winner in Audio category (ZDNET/CNET Group awards). Samsung 140" Micro LED - The Samsung 140" Micro LED TV creates a seamless, immersive 3D-like experience by using AI to extend on-screen content onto innovative Micro LED Mirror bezels that blend with the image. When not in use, it folds in half via a hidden hinge to function as an elegant art frame, eliminating the traditional "black box" appearance and blending beautifully into home décor. CES 2026 Best of Innovation in Video Displays KLIPSCH THE 9S II -  The Klipsch The 9s II powered speakers feature Onkyo audio processing and an updated Tractrix horn for wide dispersion and precise clarity, while supporting both two-channel music and Dolby Atmos content with versatile connectivity including AirPlay 2, USB-C, HDMI, and XLR inputs.They include Dirac Live auto-room calibration and deliver exceptional sound quality, though the pair carries a premium price of $2,399. Tom's Guide Best Audio LG H7 FlexConnect soundbar (Dolby Atmos soundbar with modular FlexConnect surround extension to any TV, part of LG Sound Suite) Best Audio category (CNET). LG W6 (Ultra-thin "wallpaper" OLED TV, flush wall mount, bright display, supports Dolby Atmos FlexConnect) Best TV or Home Theater category (CNET). LG CLOiD - The LG CLOiD is a wheeled household robot that connects to LG ThinQ smart appliances and uses its two arms, cameras, sensors, and voice recognition to autonomously handle tasks like loading laundry, folding clothes, organizing the fridge, tidying up, running errands, and assisting with cooking. By learning the user's routines, understanding context and emotions, and proactively acting with gestures, voice, and expressions, it reduces household labor and enhances quality of life and emotional well-being. 2026 Honoree in Smart Home Hisense 116UXS (Massive 116-inch mini-LED TV with advanced RGB + cyan backlight for wide color gamut) Highlighted in Best TV or Home Theater category (CNET) and CES 2026 Best of Innovation in Video Displays Hisense 163MX The Hisense 163MX is the world's first 163-inch MicroLED TV to use a four-primary RGBY (QuadColor) pixel design, which adds a yellow subpixel to achieve 95% BT.2020 color coverage—a 5% improvement over traditional RGB MicroLED systems. This self-emissive technology delivers perfect blacks, infinite contrast, precise brightness control, and stunning visual quality in any lighting without a backlight. 2026 Best of Innovation in Video Displays. Samsung EdgeAware AI Home - processing sounds, videos, and data from Samsung and third-party devices locally on your Samsung tech to generate detailed event summaries, contextual recommendations, and health insights displayed on your TV—all without sending private data to the cloud.  It detects 12 distinct sounds (like running water or breaking glass), provides actionable suggestions such as launching telemedicine for persistent coughing or triggering emergency services for intrusions/fires, and enables fast AI-driven searches for moments like "doorbell rang." 2026 Honoree in Smart Home Doma Intelligent Door - Doma is pioneering secure home intelligence by integrating advanced technology directly into the front door, starting with keyless entry, intruder protection, and real-time awareness of activity inside and around the home. Founded by the team behind August and Yale smart locks, it delivers a holistic system that elevates the home experience, monitors health and safety, senses surroundings, and takes personalized actions to provide true peace of mind. 2026 Honoree in Smart Home Roborock Saros Rover (Advanced two-legged/smart robot vacuum with stair-climbing, AI navigation for multi-level homes) Winner in Smart Home category (ZDNET/CNET Group awards). AQARA U400 - Thanks to its use of Ultra Wide Band (UWB) technology, it can sense when you (and your iPhone or Apple Watch) are approaching your door, and will unlock it automatically. No fuss. And, the technology is good enough that it can recognize if you're merely walking past your door rather than to it, or if you're inside, rather than outside your house. Tom's Guide Best Smart Lock JBL Tour One M3 Smart Tx JBL Tour One M3 Smart Tx delivers all the powerful features of the Tour One M3 headphones such as world class noise cancellation, crystal clear calls and legendary Hi-res certified JBL Pro Sound. The Smart Tx audio transmitter connects you to almost any audio source and elevates your wireless experience. Connect wirelessly to digital devices using the USB-C connection, or analog devices with a 3.5mm audio jack, such as in-flight entertainment systems. No need to pull out your phone and search for the app. Full access to all controls is right there on the touch screen of the transmitter. 2026 Honoree in Headphones & Personal Audio. $450 Timekettle W4 AI Interpreter Earbuds The Timekettle W4 AI Interpreter Earbuds are the world's first in-ear translation device to use Bone-Voiceprint Sensor technology combined with LLM-powered, context-aware AI, achieving 98% accurate, noise-immune speech recognition with just 0.2-second latency across 42 languages and 95 accents.Designed for all-day comfort with up to 18 hours of battery life, sleek styling, one-flip sharing, automatic mode switching, and audio/video translation capabilities, the W4 delivers natural, real-time multilingual conversations and is now available for purchase. 2026 Honoree in Artificial Intelligence, Headphones & Personal Audio, Mobile Devices, Accessories & Apps. $350

Send us a textAaron Eden brings more than three decades of building, testing, and shipping practical innovation. At Intuit, he focuses on AI-driven process automation; partnering with product, operations, and analyst communities to eliminate manual toil and design customer-centric solutions at scale. His posts highlight ongoing hiring and growth around intelligent automation and a practitioner's mindset toward measurable impact.Before Intuit, Aaron co-founded Moves the Needle, where he helped Fortune-scale organizations adopt lean startup and design thinking behaviors. Through executive mentoring and enterprise programs, he guided leaders to shorten time-to-market and increase employee engagement while staying grounded in customer outcomes. He's also held multiple roles inside Intuit's broader innovation ecosystem, including Design for Delight leadership and talent initiatives aimed at spreading experimentation across the company. Outside of the enterprise, Aaron's entrepreneurial streak shows up in community and advisory work. He co-leads the Artificial Intelligence Trailblazers meetup—an open community designed to make modern AI approachable—and frequently speaks on translating buzz into business results. He also mentors founders through Startup Tucson and participates in local panels like the University of Arizona's “Technology for Good,” where he advocates for responsible, accessible AI.If you're an engineer or technical leader, you'll appreciate Aaron's bias toward running small, smart experiments, measuring what matters, and shipping value fast—principles he's applied from customer care analytics to RPA/AI platforms. Expect a conversation rich with playbooks for automating high-variance processes, empowering analysts, and building an innovation culture that sticks. LINKS:Guest LinkedIn: https://www.linkedin.com/in/aaroneden/Guest website: https://www.brainbridge.app/Guest NPO: https://www.aitrailblazers.io/ Aaron Moncur, hostDownload the Essential Guide to Designing Test Fixtures: https://pipelinemedialab.beehiiv.com/test-fixtureAbout Being An Engineer The Being An Engineer podcast is a repository for industry knowledge and a tool through which engineers learn about and connect with relevant companies, technologies, people resources, and opportunities. We feature successful mechanical engineers and interview engineers who are passionate about their work and who made a great impact on the engineering community. The Being An Engineer podcast is brought to you by Pipeline Design & Engineering. Pipeline partners with medical & other device engineering teams who need turnkey equipment such as cycle test machines, custom test fixtures, automation equipment, assembly jigs, inspection stations and more. You can find us on the web at www.teampipeline.us

Why do AI's fabricated memories "feel" so true?Hotel Bar Sessions is currently between seasons and while our co-hosts are hard at work researching and recording next season's episodes, we don't want to leave our listeners without content! So, as we have in the past, we've given each co-host the opportunity to record a "Minibar" episode-- think of it as a shorter version of our regular conversations, only this time the co-host is stuck inside their hotel room with whatever is left in the minibar... and you are their only conversant!AI engineers and designers are currently, and rightly, focused on minimizing the deleterious effects of AI's three primary "memory problems"-- hallucinations, catastrophic forgetting, and bias-- but in this Minibar episode, HBS co-host Leigh M. Johnson argues that none of these problems can be design-engineered away. They are, according to Johnson, baked-in and unavoidable structural elements of any language-based system reliant on an archive.Borrowing from Jacques Derrida's work on archives, language, and memory, Johnson argues that we should think more seriously about the manner in which LLM's outputs come to us cloaked in the garb of memory. We take AI hallucinations, for example, to be true because they inspire in us a feeling of nostalgia... something that we could have remembered, perhaps even should have remembered, but didn't.Or didn't we?Tune in for the first episode of Season 15 on January 23, 2026!Full episode notes available at this link:https://hotelbarpodcast.com/minibar-algorithmic-noslagia---------------------SUBSCRIBE to the podcast now to automatically download new episodes!SUPPORT Hotel Bar Sessions podcast on Patreon here! (Or by contributing one-time donations here!)BOOKMARK the Hotel Bar Sessions website here for detailed show notes and reading lists, and contact any of our co-hosts here.Hotel Bar Sessions is also on Facebook, YouTube, BlueSky, and TikTok. Like, follow, share, duet, whatever... just make sure your friends know about us! ★ Support this podcast on Patreon ★

Episode DescriptionAI is fundamentally changing how SaaS companies should think about pricing. When your software makes teams 70% more efficient, charging per seat means you're literally shrinking your own market. In this conversation, product management veteran Lee Bridges explains why seat-based pricing is a burning platform and what comes next.Lee, returning to the podcast after five years, recently led a pricing transformation project that forced him to confront an uncomfortable truth: AI-driven efficiency gains directly reduce the number of seats customers need. His solution? Outcome-based pricing that aligns incentives between vendors and customers while future-proofing against AI disruption.GuestLee Bridges - Cheif Product Officer at Inn-Flow, father, audio engineer, and vibe coder who recently completed a major pricing transformation project for a B2B SaaS company in the field service space.Key Topics CoveredThe Seat-Based Pricing ProblemHow AI efficiency reduces Total Addressable Market (TAM)The misalignment of incentives between vendors and customersInternal team conflicts created by per-seat modelsWhy "reducing a team from 10 to 3" destroys 70% of your revenue potentialOutcome-Based Pricing ExplainedThe difference between usage-based and outcome-based pricingHow to identify and price meaningful outcomesThe psychology of "you make money when your customer makes money"Avoiding the "nickel and diming" feeling of usage-based modelsReal-World ImplementationCase study: Field service sales teams (20 minutes to 90 seconds per quote)Tiered prepayment models with outcome "credits"Combining platform fees with outcome pricingWhen outcome-based pricing works (and when it doesn't)The Future of SaaS and AIWhy B2B SaaS isn't going anywhere despite AI hypeThe problem with expecting everyone to be a product managerConsistency, training, and the limits of LLM-generated experiencesVibe coding and no-code tools in practiceNotable Quotes"If you create efficiencies that make a process so efficient that some number of people will no longer be necessary... you reduce the number of potential seats. You reduce the Tam.""If I give you a dollar and you're going to give me $10 back, I'd be insane to not do that as many times as I can.""You're really expecting everyone on Earth to be a product manager. That's just not going to happen.""The most people don't have a high level of agency. They don't know what they want, when they want it, and they don't know how to describe it."Practical TakeawaysEvaluate your pricing model now - If you're charging per seat and building AI features, you're creating a strategic vulnerabilityStart with new products - Test outcome-based pricing with new offerings rather than risking existing revenueIdentify measurable outcomes tied to customer revenue - What metrics does your sales team already use when discussing ROI?Consider hybrid models - Platform fees plus outcome pricing can balance predictability with value alignmentThe complexity trade-off - Outcome-based pricing must remain simple enough to avoid litigation-inducing confusion

Corey Zumar is a Product Manager at Databricks, working on MLflow and LLM evaluation, tracing, and lifecycle tooling for generative AI.Jules Damji is a Lead Developer Advocate at Databricks, working on Spark, lakehouse technologies, and developer education across the data and AI community.Danny Chiao is an Engineering Leader at Databricks, working on data and AI observability, quality, and production-grade governance for ML and agent systems.MLflow Leading Open Source // MLOps Podcast #356 with Databricks' Corey Zumar, Jules Damji, and Danny ChiaoJoin the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterShoutout to Databricks for powering this MLOps Podcast episode.// AbstractMLflow isn't just for data scientists anymore—and pretending it is is holding teams back. Corey Zumar, Jules Damji, and Danny Chiao break down how MLflow is being rebuilt for GenAI, agents, and real production systems where evals are messy, memory is risky, and governance actually matters. The takeaway: if your AI stack treats agents like fancy chatbots or splits ML and software tooling, you're already behind.// BioCorey ZumarCorey has been working as a Software Engineer at Databricks for the last 4 years and has been an active contributor to and maintainer of MLflow since its first release. Jules Damji Jules is a developer advocate at Databricks Inc., an MLflow and Apache Spark™ contributor, and Learning Spark, 2nd Edition coauthor. He is a hands-on developer with over 25 years of experience. He has worked at leading companies, such as Sun Microsystems, Netscape, @Home, Opsware/LoudCloud, VeriSign, ProQuest, Hortonworks, Anyscale, and Databricks, building large-scale distributed systems. He holds a B.Sc. and M.Sc. in computer science (from Oregon State University and Cal State, Chico, respectively) and an MA in political advocacy and communication (from Johns Hopkins University)Danny ChiaoDanny is an engineering lead at Databricks, leading efforts around data observability (quality, data classification). Previously, Danny led efforts at Tecton (+ Feast, an open source feature store) and Google to build ML infrastructure and large-scale ML-powered features. Danny holds a Bachelor's Degree in Computer Science from MIT.// Related LinksWebsite: https://mlflow.org/https://www.databricks.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 Corey on LinkedIn: /corey-zumar/Connect with Jules on LinkedIn: /dmatrix/Connect with Danny on LinkedIn: /danny-chiao/Timestamps:[00:00] MLflow Open Source Focus[00:49] MLflow Agents in Production[00:00] AI UX Design Patterns[12:19] Context Management in Chat[19:24] Human Feedback in MLflow[24:37] Prompt Entropy and Optimization[30:55] Evolving MLFlow Personas[36:27] Persona Expansion vs Separation[47:27] Product Ecosystem Design[54:03] PII vs Business Sensitivity[57:51] Wrap up

Faiza has gone from Student to AI Engineer, developing valuable solutions for MicroYES and Finely Fettled clients. Her skills include AWS, Linux, and DevOps. She hails from Southern India and will complete her MSc in International Management at York St John University in early 2026. She is currently developing lead generation AI solutions for Finely Fettled and MicroYES clients.Summary of PodcastKey TakeawaysFaiza Khan's career progressed from student to AI Engineer via a structured path: internship → placement → full-time hire.Her role involves building AI agents (e.g., "Phone to Agent") and Answer Engine Optimisation (AEO) to help clients get found in LLM answers, a critical shift from traditional SEO.The hiring process used Handshake, a university student-focused job platform, and video interviews, where key advice for students is to speak up, slow down, smile, and make eye contact.AI is shifting the workforce from manual research to higher-value roles like AI architecture, with low-code/no-code tools enabling non-technical entry.Faiza's Career ProgressionBackground: From Kadapa, Southern India, with a Bachelor of Commerce.Early Skill-Building: Completed a 6-month course in AWS, Linux, and DevOps in Bangalore while working in inside sales.UK Education: Choose York St John University for its placement year option, which Manchester Metropolitan lacks.Hiring Process:Platform: Found via Handshake, a university job platform.Video Interview: A key step where students answer AI-generated questions on camera.Career Path:Internship: Initial role at Finely Fettled and its brand MicroYES.Placement: Extended 9-month contract.Full-Time: Hired as an AI Engineer/Architect and Marketing Manager.AI in Business & MarketingMeclabsAI Platform: Faiza's work on this AI solutions platform includes:AI Agent Delivery Systems: Personalised agents, not generic chatbots.AI Workflows: Self-service tools, like a database query workflow on the https://finelyfettled.co.uk website."Phone to Agent": A new service for small businesses.An AI agent answers calls using the client's specific policies and pricing.Designed for natural conversation (e.g., "mm-hmm" confirmations, background noise).Rationale: Provides cost-effective, consistent phone support for busy professionals and small businesses.Answer Engine Optimisation (AEO):Rationale: Anticipates ChatGPT providing more answers than Google by early 2028, making AEO a critical marketing strategy.Goal: Structure website content to be found and cited in LLM answers.Execution: An AI agent guides clients through the process.The Value of Diversity: Kevin noted Faiza's value comes from her diverse perspective (age, gender, culture), which provides fresh insights.Advice for StudentsSet a Clear Goal: Define a career path and stay focused.Use University Resources: Actively leverage career services and platforms like...

OpenAI releases ChatGPT Translate, its version of Google Translate. How does it compare and can it successfully compete against the search giant? Social news aggregation and discussion platform Digg has officially relaunched. What's it look like? Is an LLM's output protected by the US Constitution's first amendment? And are we witnessing a growth in independent media? Starring Sarah Lane, Tom Merritt, Robb Dunewood, Andrea Jones-Rooy, Len Peralta, Roger Chang, Joe. To read the show notes click here! Support the show on Patreon by becoming a supporter!

In the security news: KVMs are a hacker's dream Hacking an e-scooter Flipper Zero alternatives The best authentication bypass Pwning Claude Code ForiSIEM, vulnerabilities, and exploits Microsoft patches and Secure Boot fun Making Windows great, again? Breaching the Breach Forum Congressional Emails unsolicited Instagram password reset requests - Is Meta doing enough to secure the platform? LLMs are HIPAA compliant? Threat actors target LLM honeypots Visit https://www.securityweekly.com/psw for all the latest episodes! Show Notes: https://securityweekly.com/psw-909

It's YOUR time to #EdUp with Dr. Robert Wilson, Provost & Vice President for Academic Affairs, Cedar Crest CollegeIn this episode, part of our Academic Integrity Series, sponsored by ⁠Integrity4EducationYOUR cohost is Thomas Fetsch, CEO, Integrity4EducationYOUR host is ⁠Elvin Freytes⁠How does Cedar Crest College treat AI as a design issue rather than a policing problem by building academic integrity into assignments & helping students understand ethical boundaries instead of just catching cheaters?How is Cedar Crest's math department using a custom LLM called Alchemy to teach students at their learning level instead of jumping straight to answers like popular AI models do & what does this mean for equity across student populations?How does a provost who's been at 1 institution for 23 years keep his fire burning by building programs from writing centers to MFA degrees to AI ready initiatives & what does he see as the future relevance question for higher education?Listen in to #EdUpThank YOU so much for tuning in. Join us on the next episode for YOUR time to EdUp!Connect with YOUR EdUp Team - ⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠Elvin Freytes⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠& ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Dr. Joe Sallustio⁠⁠⁠⁠⁠● Join YOUR EdUp community at ⁠The EdUp Experience⁠We make education YOUR business!P.S. Want to get early, ad-free access & exclusive leadership content to help support the show? Become an #EdUp Premium Member today!

Digitization was just the first step. True digital transformation in healthcare is only beginning. Dr. Michael Pfeffer, Chief Information and Digital Officer at Stanford Health Care, shares how he and his team are moving beyond electronic health records to deliver real-time, AI-powered care. From building ChatEHR, a secure, embedded LLM interface, to developing Stanford's FIRM framework for responsible AI, Pfeffer provides a behind-the-scenes look at one of the nation's most advanced digital health systems. In this episode, you'll learn: Why “digitized” isn't the same as “digital” How Stanford built the first integrated LLM in clinical workflows What makes healthcare AI safe, useful, and equitable Where AI adds real clinical value and where it doesn't The vision behind precision health at scale

Send us a textRecommendation-driven search is here, and it's changing who gets discovered. We sit down with Chris Donnelly—serial entrepreneur and founder of Searchable—to unpack how large language models like ChatGPT, Gemini, Claude, and Perplexity are becoming the first stop for product advice and purchase decisions. When a single prompt returns five personalized options, the brands that earn those spots win the moment of truth. The question is: how do you become one of them?We walk through the practical playbook for showing up in conversational search. Chris explains why the shift isn't the death of SEO but a re-centering on structure, context, and freshness. From llm.txt to robust product and article schema, from mapping micro-intents to deploying query fan-outs, you'll learn how to make your site legible to AI crawlers and present across the exact scenarios customers ask about. We also explore how social signals—especially from LinkedIn and Reddit—now inform LLM answers, and why a thoughtful personal brand can supercharge testing, feedback, and distribution.Chris shares the rapid build story behind Searchable, including community-led iteration and a data engine that aggregates thousands of annotated site changes to prioritize the actions most likely to boost visibility, clicks, and revenue. We cover platform nuances without getting lost in complexity, highlighting a time-efficient strategy that reaches the majority of demand while adapting to new features like ChatGPT's shopping research. The takeaway is clear: AI won't replace great marketers; it amplifies those who use it to research faster, write smarter, and ship with purpose.Ready to earn a place in the answers that matter? Follow the show, share this with a teammate who needs a strategy refresh, and leave a quick review to help others find it. Your next customer might be one prompt away.This episode was recorded through a Descript call on December 11, 2025. Read the blog article and show notes here: https://webdrie.net/ai-search-is-reshaping-brand-discovery/..........................................................................

In the security news: KVMs are a hacker's dream Hacking an e-scooter Flipper Zero alternatives The best authentication bypass Pwning Claude Code ForiSIEM, vulnerabilities, and exploits Microsoft patches and Secure Boot fun Making Windows great, again? Breaching the Breach Forum Congressional Emails unsolicited Instagram password reset requests - Is Meta doing enough to secure the platform? LLMs are HIPAA compliant? Threat actors target LLM honeypots Show Notes: https://securityweekly.com/psw-909

In the security news: KVMs are a hacker's dream Hacking an e-scooter Flipper Zero alternatives The best authentication bypass Pwning Claude Code ForiSIEM, vulnerabilities, and exploits Microsoft patches and Secure Boot fun Making Windows great, again? Breaching the Breach Forum Congressional Emails unsolicited Instagram password reset requests - Is Meta doing enough to secure the platform? LLMs are HIPAA compliant? Threat actors target LLM honeypots Visit https://www.securityweekly.com/psw for all the latest episodes! Show Notes: https://securityweekly.com/psw-909

For episode 665 of the BlockHash Podcast, host Brandon Zemp is joined by Chris Zhu, CEO & Founder of Donut (Donut Browser). Donut Browser is the world’s first agentic crypto browser built for trading. It integrates signal discovery, risk analysis, strategy generation and on-chain execution directly at the browser layer, allowing users to go from idea to live trade without switching tools.Donut Labs raised $22M to build the first agentic AI crypto browser for traders. Investors include BITKRAFT, Makers Fund, HSG, Sky9 Capital, MPCi, Altos Ventures, Hack VC, and others, with support from leaders across Solana, Sui, Monad, Jupiter, Drift, and DeFi App. With more than 160K users in their waitlist, Donut will offer a full product suite including a Chrome extension, web app, mobile app, and a Chromium based browser.

Brand vs Demand: Why B2B Marketing Is Stuck in a Measurement TrapIn this episode of The Metrics Brothers, Dave "CAC" Kellogg and Ray "Growth" Rike tackle one of the most persistent and controversial questions in B2B marketing: Brand vs. Demand.The discussion is grounded in new data from the 2026 B2B Brand vs Demand Benchmark Report. While most marketing teams say they believe brand and demand are complementary, the numbers tell a more complicated story.Today's reality?Marketing budgets are still heavily skewed toward short-term demand generation, with roughly 70% of spend allocated to demand and only ~25% to brand. Yet when asked how they want to invest, marketing leaders overwhelmingly say they'd prefer a much more balanced future, closer to 50% demand and 40% brand.So why the disconnect?Ray and Dave dig into the root cause: measurement.Demand generation is tied to metrics CFOs understand like pipeline dollars, opportunities, and ARR. Brand, on the other hand, is still largely measured using proxy metrics like website traffic and awareness, leaving many executives unable to confidently link brand investments to revenue outcomes. Only 28% of companies say they can directly tie brand activity to pipeline, and when budgets are cut, brand is sacrificed five times more often than demand.The episode also explores:Why performance marketing struggles are pushing CMOs back toward brandThe growing inefficiency of demand spend aimed at “future buyers”How much of the “demand” budget is effectively unmeasured brand spendThe dangerous gap between belief in brand and proof of impactWhy AEO, AI search, and LLM visibility will make brand ROI even harder and more urgent to measureRay and Dave don't just highlight the findings, they discuss the reality of Chief Marketing Officers making the Brand vs Demand budget allocation trade-offs.One key takeaway? Until brand investments can be credibly connected to pipeline efficiency, win rates, and ARR, it will remain more a faith-based investment instead of a financial one the CFOs understand.If you're a CMO trying to defend brand spend, or a CFO trying to understand where marketing dollars truly drive growth, this episode is required listening.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

An airhacks.fm conversation with Alvaro Hernandez (@ahachete) about: discussion about LLMs generating Java code with BCE patterns and architectural rules, Java being 20-30% better for LLM code generation than python and typescript, embedding business knowledge in Java source code for LLM context, stackgres as a curated opinionated stack for running Postgres on kubernetes, Postgres requiring external tools for connection pooling and high availability and backup and monitoring, StackGres as a Helm package and Kubernetes operator, comparison with oxide hardware for on-premise cloud environments, experimenting with Incus for system containers and VMS, limitations of Ansible for infrastructure automation and code reuse, Kubernetes as an API-driven architecture abstracting compute and storage, Custom Resource Definitions (CRDs) for declarative Postgres cluster management, StackGres supporting sharding with automated multi-cluster deployment, 13 lines of YAML to create 60-node sharded clusters, three interfaces for StackGres including CRDs and web console and REST API, operator written in Java with quarkus unlike typical Go-based operators, Google study showing Java faster than Go, GraalVM native compilation for 80MB container images versus 400-500MB JVM images, fabric8 Kubernetes client for API communication, reconciliation cycle running every 10 seconds to maintain desired state, pod local controller as Quarkus sidecar for local Postgres operations, dynamic extension installation without rebuilding container images, grpc bi-directional communication between control plane and control nodes, inverse connection pattern where nodes initiate connections to control plane, comparison with Jini and JavaSpaces leasing concepts from Sun Microsystems, quarter million lines of Java code in the operator mostly POJOs predating records, PostgreSQL configuration validation with 300+ parameters, automated tuning applied by default in StackGres, potential for LLM-driven optimization with clone clusters for testing, Framework Computer laptop automation with Ubuntu auto-install and Ansible and Nix, five to ten minute full system reinstall including BIOS updates Alvaro Hernandez on twitter: @ahachete

Neo4j's Ajay Singh discusses future shifts in AI and why knowledge graphs may be the missing layer in your Gen AI strategy.Topics Include:Ajay Singh from Neo4j discusses graph intelligence platform serving 80+ Fortune 100 companies.Financial services firms use Neo4j knowledge graphs to detect fraud rings and accounts.IT companies build digital twins of infrastructure to analyze attack surfaces and vulnerabilities.Knowledge graphs provide richer context for Gen AI agents beyond what vector search offers.Gaming company achieved 10x faster insights and 92% reduction in analyst data gathering.Transportation company improved tariff code workflow from 50% abandonment to 95% completion rate.Neo4j has partnered with AWS since 2013, running on AWS infrastructure and Marketplace.Customers combine Neo4j with AWS Bedrock and SageMaker to build agentic AI applications.Neo4j evolved from late-stage AWS collaboration to early-stage joint customer solution development approach.Success requires business-first mindset over technology-first to avoid POCs that never reach production.Effective Gen AI needs semantic layers and knowledge graphs, not just throwing documents at LLMs.Future agents will tackle outcome-based objectives requiring explainability, security, and proper LLM operations.Participants:Ajay Singh – Global Vice President, Neo4jSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

So AI is on the rise for FIs: Tell us something we don't already know. But will agentic AI gain traction? Will banks hyperpersonalize with all that data or just muck about in the ones and zeroes? How will community banks and credit unions assert their relevance? The questions abound in 2026, and Bankadelic's got answers, based on interviews, McKinsey intelligence, statistics and more. Stick around, and you'll also get foolish forecasts from Elmo the Gentleman Farmer, Dr. Compliars, the Bankadelic Executioner and resident wiseguy Johnny Da Big, who gives us a live trial of his new LLM, BIG-GPT.

Send us a textKimberly Williams is CEO of Absorb Software, where she helps over 3,000 organizations deliver smarter learning experiences to 34 million employees. She brings decades of leadership in enterprise tech and now sits at the center of how AI is changing the way people grow at work. In this episode, Kimberly shares how learning becomes more powerful when it's personalized, embedded in daily workflows, and led by curious teams who treat culture as a competitive advantage.In this conversation, we discuss:How AI is shifting corporate learning from generic training programs to personalized, in-the-flow development tailored to each employee's needs.Why in-context learning matters more than traditional courses, and how AI coaching inside tools like Slack, Salesforce, or ServiceNow changes how people actually learn at work.What it means to turn L&D teams into AI model trainers who encode company culture, values, and knowledge into coaching experiences.How Absorb Software tracks AI usage across teams and uses dashboards and leaderboards to drive internal adoption.The role of outcome data in modern learning systems, and how tying learning directly to performance metrics changes what training gets delivered.The advice Kimberly gives early-career talent, especially women, about finding roles where their contributions are measurable and their growth is supported by culture, not just credentials.Resources:Subscribe to the AI & The Future of Work NewsletterConnect with Kimberly on LinkedInAI fun fact articleOn how Robert Plotkin addresses LLM regulation and legal advice for entrepreneursOther episodes mentioned on the show:AI as a Liberating Technology: Josh Bersin on Turning Routine Tasks into Superworkers Driving Trust, Creativity, and GrowthDr. John Boudreau, future of work pioneer and former Cornell professor, discusses the new definition of work

Bernard Huang returns to break down GEO (Generative Engine Optimization) and the big question: is GEO actually different from SEO, or just SEO evolving? We talk about how AI Mode/AI Overviews are changing search behavior, why top-funnel traffic is getting squeezed, and what “good SEO is good GEO” really means in practice. Show Notes:00:00 – Welcome back & why GEO is everywhere03:05 – Is GEO actually different from SEO?07:10 – How AI agents think vs keyword-based SEO12:45 – The traffic apocalypse & AI Mode becoming default18:00 – Mentions vs backlinks in an LLM world24:30 – What people are getting wrong about GEO30:45 – Measuring success: impressions, citations & brand search42:55 – The “long, long tail” and the future of content strategy Show Links:Follow Bernard on LinkedIn: https://www.linkedin.com/in/bernardjhuang/ Visit Clearscope: https://www.clearscope.io/ Follow Ross on X: https://x.com/RossHudgens   Subscribe today for weekly tips: https://bit.ly/3dBM61f Listen on iTunes: https://podcasts.apple.com/us/podcast/content-and-conversation-seo-tips-from-siege-media/id1289467174 Listen on Spotify: https://open.spotify.com/show/1kiaFGXO5UcT2qXVRuXjsM Listen on Google: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zaW1wbGVjYXN0LmNvbS9jT3NjUkdLeA Follow Siege on Twitter: http://twitter.com/siegemedia Follow Ross on Twitter: http://twitter.com/rosshudgens Directed by Cara Brown: https://twitter.com/cararbrown Email Ross: ross@siegemedia.com #seo | #contentmarketing

What if the real AI revolution isn't about better models—but about unlocking the data we've been sitting on?Mike McLaughlin—cybersecurity and data privacy attorney, former US Cyber Command—joins us to discuss something most people miss in the AI conversation: we're building the infrastructure for a completely new asset class.The conversation moves past today's headlines and LLM limitations into what becomes possible when we solve the data access problem:Research acceleration at unprecedented scale. Imagine biotech startups accessing decades of pharmaceutical failure data, every null result, every experiment that didn't work. That's years cut from development cycles. That's drugs to market faster. That's lives saved.Universities as innovation accelerators. Right now, research institutions pay to store petabytes of data collecting dust on servers. Mike argues they're sitting on billions in untapped assets to fuel innovation.Beyond synthetic training. The next generation of AI won't be trained on Reddit threads and scraped websites. It'll be trained on high-quality, provenance-verified research data from institutions that have incentive to participate in the ecosystem.Mike's vision isn't just about compliance or risk mitigation. It's about creating the conditions for AI to actually deliver on the promise everyone keeps talking about. The compute exists. The capital exists. The models are improving. What we need now is the mechanism to turn decades of institutional research into fuel for the next wave of moonshot innovation.MentionedGoogle licensing deal with RedditPoisoning Attacks on LLMs Require a Near-constant Number of Poison SamplesMIT researchers discover new class of antibiotics using machine learningReducing bacterial infections from hospital catheters using machine learning

In this Barber's Brief, V and Marc cover the biggest marketing and platform stories from the last couple of weeks—plus introduce a new segment.First up, they unpack why marketers should stop trying to re-label marketing as CapEx, and why misusing finance terms (like ROI) can damage credibility with CFOs. Then they move into search and AI: Google's Danny Sullivan warns publishers not to restructure content into “bite-sized chunks” just to appease AI search—because what works today may not work tomorrow.Next, they revisit Paul Feldwick's classic “message myth” argument: advertising isn't just a rational “message delivery” machine—it's showmanship, emotion, and association-building that shapes preference and memory. Finally, they break down the strategic implications of the Google + Walmart partnership and what it signals about the future of retail discovery, closed-loop measurement, and platform power consolidation.Ad of the Week: Miller Lite starring Christopher Walken, a “masterclass in showing up without shouting,” built around a simple cultural truth: people aren't showing up like they used to—and maybe we should.To close, they preview The Sharp Cut: an upcoming POV episode on one-to-one marketing, mass personalization, and whether the promise is real or overhyped.Listen, share, and stay sharp, everyone!Key TakewaysStop calling marketing “CapEx” to sound finance-savvy. If you misuse accounting language (ROI, CapEx/OpEx), you lose credibility fast—especially with CFOs.Marketing doesn't cleanly fit CapEx logic. Brand value is uncertain, often maintenance-based, and hard to capitalize like a tangible asset.Better move: push for practical governance: separate marketing line items on the P&L, and treat “foundational” work (e.g., rebrand) more like development/R&D where appropriate.Google's warning on AI-era SEO: don't rebuild your site into short “LLM-friendly chunks” just because it may perform temporarily—optimize for humans, not the machine.The “Message Myth” still matters: effective advertising is often less about what it says and more about what it does—creating emotional associations and mental availability.Digital vs. analog communication: boards tend to prefer “digital” (logic, claims, propositions), but “analog” (music, mood, emotion, showmanship) is what drives preference.Google + Walmart = retail discovery power shift. Expect more closed-loop, AI-driven commerce experiences where media, merchandising, and checkout blur together.Ad of the Week insight: sometimes the strongest creative move is restraint—Walken's presence sells “showing up” as a cultural reset, not a hard sell.Chapters00:00 Introduction and Marketing Moments01:14 The Language of Marketing and Finance07:47 Content Strategy in the Age of AI12:51 The Message Myth in Advertising18:57 Google and Walmart's Retail Partnership25:19 Ad of the Week: Miller Lite's Campaign27:43 Upcoming Changes in the PodcastLinks:Marketing is Not CapEx—Stop Saying It Is - https://www.marketingweek.com/marketing-not-capex-ridicule-finance/Google doesn't want you to create bite-sized chunks of your content -...

Send us comments, suggestions and ideas here! In this week's episode we embark on part 3 of our deep scan into the dimly lit chambers of Cyber Magick with the guidance of our programmer friend Chillz who volunteered this week to take the helm and guide our little discussion into the watery abyss yet unexplored. In the first half, we discuss what technology has to do with the Age of Aquarius along with its occult counter-part, the energies of Leo and how the field of Cybernetics was born in the first place. From there we discuss how cybernetic teleology was applied to spirituality through the work of Mike Morgan, Peter Carroll and of course Frater U.D. who was the guy responsible for splintering the Initiates of Thanatos after introducing its members to Nazi ice magick. Before wrapping up the free side we discuss how to perform Thumbnail Cartomancy along with some variants before flipping the tape and continuing in the extended side with TTS Yoking, Loop Mantras, Sigil Visualizers and of course, Videogame Mystery Plays. Thank you and enjoy the show! Listen to the extended show here! https://www.patreon.com/posts/147520234In this week's episode we discuss:Technology and the Age of AquariusAndy Warhol The History of CyberneticsTeleology vs. Metaphysics Mike Morgan and CyberCraftRalph Tegtmeier and Ice Magick The 4 Active Principles of MagickThumbnail Cartomancy In the extended show available at www.patreon.com/TheWholeRabbit we go further down the rabbit hole to discuss:TTS YokingNever Listen to Aleister Crowley Loop MantrasVishnuAgentic Servitors Sigil VisualizersMystery Games in First Person Shooters?! This episode was written by Chillz with his parts in Black, Luke in Red, Heka in Purple, Mari in Blue, and Tim graced us with moral support. Where to find The Whole Rabbit:Spotify: https://open.spotify.com/show/0AnJZhmPzaby04afmEWOAVInstagram: https://www.instagram.com/the_whole_rabbitTwitter: https://twitter.com/1WholeRabbitOrder Stickers: https://www.stickermule.com/thewholerabbitOther Merchandise: https://thewholerabbit.myspreadshop.com/Music By Spirit Travel Plaza:https://open.spotify.com/artist/30dW3WB1sYofnow7y3V0YoSupport the show

The future of commerce hinges on agility, but most brands remain stuck at spreadsheet speed. Louis Camassa, Director of Product Management at Rithum, breaks down findings from the 2026 Commerce Readiness Index and reveals why data quality, inventory latency, and algorithmic visibility matter more than channel expansion. We're uncovering the infrastructure bottlenecks threatening AI's potential, and what it actually takes for brands to compete when algorithms decide what gets discovered.Your 2026 Resolution: Get UnstuckKey takeaways:63% of commerce teams face data quality issues affecting business decisionsInventory latency remains a competitive differentiator in agentic commerce experiencesZero-click phenomenon reducing referral traffic by 9% across e-commerce channelsAI compute costs compressed 10x in one year, matching traditional searchEnergy infrastructure, not algorithms, poses the greatest bottleneck to AI advancementKey Quotes:[00:02:04] Lou Camassa: "Most companies, whether you're a retailer or brand, you're moving at spreadsheet speed. That's just not the way of the future."[00:10:55] Lou Camassa: "We don't want to take from the past and just push it into the future. When we go into a chat experience, we don't want to drop somebody onto a homepage with a banner and categories. Let's think about this differently."[00:18:58] Lou Camassa: "We're seeing drops of about 9% across e-commerce in general on referral sources from Google because data is just being propagated in the AI overviews."[00:24:04] Lou Camassa: "Inventory latency is going to be a big game changer. It helps us get faster shipping and creates a competitive factor, specifically in LLM search, where everything else is commoditized."Associated Links:Check out Rithum's 2026 Commerce Readiness IndexLearn more about Rithum's offerings.Check out Future Commerce on YouTubeCheck out Future Commerce Plus for exclusive content and save on merch and printSubscribe to Insiders and The Senses to read more about what we are witnessing in the commerce worldListen to our other episodes of Future CommerceHave any questions or comments about the show? Let us know on futurecommerce.com, or reach out to us on Twitter, Facebook, Instagram, or LinkedIn. We love hearing from our listeners! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

don't miss George's AIE talk: https://www.youtube.com/watch?v=sRpqPgKeXNk —- From launching a side project in a Sydney basement to becoming the independent gold standard for AI benchmarking—trusted by developers, enterprises, and every major lab to navigate the exploding landscape of models, providers, and capabilities—George Cameron and Micah Hill-Smith have spent two years building Artificial Analysis into the platform that answers the questions no one else will: Which model is actually best for your use case? What are the real speed-cost trade-offs? And how open is "open" really? We discuss: The origin story: built as a side project in 2023 while Micah was building a legal AI assistant, launched publicly in January 2024, and went viral after Swyx's retweet Why they run evals themselves: labs prompt models differently, cherry-pick chain-of-thought examples (Google Gemini 1.0 Ultra used 32-shot prompts to beat GPT-4 on MMLU), and self-report inflated numbers The mystery shopper policy: they register accounts not on their own domain and run intelligence + performance benchmarks incognito to prevent labs from serving different models on private endpoints How they make money: enterprise benchmarking insights subscription (standardized reports on model deployment, serverless vs. managed vs. leasing chips) and private custom benchmarking for AI companies (no one pays to be on the public leaderboard) The Intelligence Index (V3): synthesizes 10 eval datasets (MMLU, GPQA, agentic benchmarks, long-context reasoning) into a single score, with 95% confidence intervals via repeated runs Omissions Index (hallucination rate): scores models from -100 to +100 (penalizing incorrect answers, rewarding "I don't know"), and Claude models lead with the lowest hallucination rates despite not always being the smartest GDP Val AA: their version of OpenAI's GDP-bench (44 white-collar tasks with spreadsheets, PDFs, PowerPoints), run through their Stirrup agent harness (up to 100 turns, code execution, web search, file system), graded by Gemini 3 Pro as an LLM judge (tested extensively, no self-preference bias) The Openness Index: scores models 0-18 on transparency of pre-training data, post-training data, methodology, training code, and licensing (AI2 OLMo 2 leads, followed by Nous Hermes and NVIDIA Nemotron) The smiling curve of AI costs: GPT-4-level intelligence is 100-1000x cheaper than at launch (thanks to smaller models like Amazon Nova), but frontier reasoning models in agentic workflows cost more than ever (sparsity, long context, multi-turn agents) Why sparsity might go way lower than 5%: GPT-4.5 is ~5% active, Gemini models might be ~3%, and Omissions Index accuracy correlates with total parameters (not active), suggesting massive sparse models are the future Token efficiency vs. turn efficiency: GPT-5 costs more per token but solves Tau-bench in fewer turns (cheaper overall), and models are getting better at using more tokens only when needed (5.1 Codex has tighter token distributions) V4 of the Intelligence Index coming soon: adding GDP Val AA, Critical Point, hallucination rate, and dropping some saturated benchmarks (human-eval-style coding is now trivial for small models) — Artificial Analysis Website: https://artificialanalysis.ai (https://artificialanalysis.ai ("https://artificialanalysis.ai")) George Cameron on X: https://x.com/grmcameron (https://x.com/grmcameron ("https://x.com/grmcameron")) Micah Hill-Smith on X: https://x.com/_micah_h (https://x.com/_micah_h ("https://x.com/_micah_h")) Chapters 00:00:00 Introduction: Full Circle Moment and Artificial Analysis Origins 00:01:08 Business Model: Independence and Revenue Streams 00:04:00 The Origin Story: From Legal AI to Benchmarking 00:07:00 Early Challenges: Cost, Methodology, and Independence 00:16:13 AI Grant and Moving to San Francisco 00:18:58 Evolution of the Intelligence Index: V1 to V3 00:27:55 New Benchmarks: Hallucination Rate and Omissions Index 00:33:19 Critical Point and Frontier Physics Problems 00:35:56 GDPVAL AA: Agentic Evaluation and Stirrup Harness 00:51:47 The Openness Index: Measuring Model Transparency 00:57:57 The Smiling Curve: Cost of Intelligence Paradox 01:04:00 Hardware Efficiency and Sparsity Trends 01:07:43 Reasoning vs Non-Reasoning: Token Efficiency Matters 01:10:47 Multimodal Benchmarking and Community Requests 01:14:50 Looking Ahead: V4 Intelligence Index and Beyond

Google ima monopol nad iskanjem po spletu in vsaj do zdaj je veljalo, da z dobrim strokovnjakom lahko vplivamo na prikazovanje spletnih strani. Veliki jezikovni modeli umetne inteligence pa pravila igra spreminjajo. Lahko Chat GPT prepričam, da omeni ravno mojo picerijo, ko ga uporabnik sprašuje po najboljših picah v Ljubljani? Lahko (že) zmanipuliramo umetno inteligenco in ji sugeriramo odgovore? O novih časih optimizacije spletnega iskanja razmišljata vodja digitalnih projektov na agenciji Futura DDB Gregor Čič in Jake Kastrenakes, urednik na ameriškem tehnološkem mediju The Verge. Zapiski: Odbit Discord Oglasite se lahko na odbita@rtvslo.si The poeple who ruined the internet Poglavja: 00:00:01 Prva epizoda v letu 2026: Kaj sta Anže in Maruša nazadnje guglala? 00:01:05 Predstavitev gosta: Gregor Čič (digitalni projekti, Futura DDB) 00:01:54 Kaj je sploh optimizacija spletnih strani (SEO) in zakaj je bila do zdaj ključna? 00:03:35 Vloga SEO strokovnjaka v času prevlade Googlovega algoritma 00:04:31 Research vs. Search: Kdaj uporabimo Google in kdaj chat GPT? 00:05:44 Primer picerije: Kako se odgovori razlikujejo med iskalniki in klepetalniki 00:06:28 Pogovor z izvršnim urednikom portala The Verge (Jake Kastrenakes) o "zatonu Googla" 00:07:54 Koncept "Google Zero": Bo obisk spletnih strani zaradi UI popolnoma usahnil? 00:08:44 Ali je SEO mrtev? 00:10:54 Podatki o uporabi: 16 milijard iskanj na Googlu vs. 1 milijarda na chat GPT dnevno 00:12:13 Kako mlajše generacije (Gen Z) iščejo izdelke prek TikToka in klepetalnikov 00:13:24 Izguba "lijaka": Kako spletne strani izgubljajo prihodek od oglasov 00:15:45 Pritisk umetne inteligence: UI povzetki na vrhu Googlovih rezultatov 00:16:41 Kako danes vplivati na odgovore velikih jezikovnih modelov (LLM)? 00:18:03 Pomen prisotnosti na forumih in portalih s pregledi (TripAdvisor, Reddit) 00:18:41 FAQ za robote: Zakaj vsebino pišemo za UI agente? 00:20:25 (Ne)merljivost uspeha: Ni več garancije, da boste na prvem mestu 00:22:13 Sistemi "črne skrinje": Zakaj ne vemo natančno, kako UI sintetizira odgovore 00:24:52 Ali se sploh splača "izigravati" klepetalnike? 00:26:27 Nevarnost za manjše spletne strani: Kdo bo sploh še ustvarjal vsebino? 00:29:10 Prihodnost: Nakupovanje neposredno znotraj klepetalnika 00:30:12 Amazon vs. roboti: Boj za človeške kupce 00:30:56 Ali bodo klepetalniki postali podkupljivi s strani oglaševalcev? 00:33:04 Tehnične zahteve v letu 2026: Sheme v ozadju spletnih strani 00:34:27 Od SEO do GEO: Kako marketing spreminja kratice 00:35:00 Zaključek

Business Coaching of mid to upper-level management, high-potential leaders, and struggling leaders is Holly Golebiowski's focus in her coaching practice.Summary of PodcastIntroductions and small talkThe participants - Kevin, Graham, and Holly - greet each other and engage in some casual conversation, including discussing Holly's Polish last name and Graham's past colleague Veronica.Shifting to business coaching and leader skillsThe group transitions the discussion to focus on business coaching and leader skills, with Kevin and Graham clarifying that the main topic is about helping leaders develop their skills.Holly's background and experience as a business coachHolly shares how she became a business coach, including her own experience working with a coach named Nan who helped her improve as a leader when she was at risk of being fired from her previous COO role. She explains the value of self-awareness and empathy as key leadership skills.Leader Skills program overviewHolly provides an overview of the Leader Skills program she co-runs with Nan, including the specific skills they focus on (e.g. conflict management, time management), the format of the program (online modules plus group discussions), and the types of companies they work with (ranging from startups to large enterprises).Feedback and impact of the Leader Skills programHolly shares positive feedback and impact of the Leader Skills program, including a 99% satisfaction rate and a money-back guarantee that no one has ever used, indicating the program's value. She also discusses how the program helps companies, especially growing startups, develop the leadership skills needed as they scale.The Next 100 Days Podcast Co-HostsGraham ArrowsmithGraham founded Finely Fettled ten years ago to help business owners and marketers market to affluent and high-net-worth customers. He's the founder of MicroYES, a Partner for MeclabsAI, where he introduces AI Agents that you can talk to, that increase engagement, dwell time, leads and conversions. Now, Graham is offering Answer Engine Optimisation that gets you ready to be found by LLM search.Kevin ApplebyKevin specialises in finance transformation and implementing business change. He's the COO of GrowCFO, which provides both community and CPD-accredited training designed to grow the next generation of finance leaders. You can find Kevin on LinkedIn and at kevinappleby.com

 This week on the PHP Podcast, Eric and John talk about Welcome to 2026, Denmark stops postal services, New Laravel employee, PHPTek Early Bird ending soon, the pains of making a living off open source, PHP is Back according to Nuno, and more… Links from the show: Danish postal service to stop delivering letters after 400 years | Denmark | The Guardian MergePHP: Mastering Agentic PHP Development with MCP, Thu, Jan 8, 2026, 5:00 PM | Meetup https://x.com/wendell_adriel/status/2008168133362618776 PHP TEK 2026 Adam’s Morning Walk | We had six months left AI Code Reviews | CodeRabbit | Try for Free feat: add llms.txt endpoint for LLM-optimized documentation by quantizor · Pull Request #2388 · tailwindlabs/tailwindcss.com · GitHub Why PHP in 2026? https://laravelfortherestofus.com/ The PHP Podcast streams the recording of this podcast live, typically every Thursday at 3 PM PT. Come join us and subscribe to our YouTube channel. X: https://x.com/phparch Mastodon: https://phparch.social/@phparch Bluesky: https://bsky.app/profile/phparch.com Discord: https://discord.phparch.com Subscribe to our magazine: https://www.phparch.com/subscribe/ Host: Eric Van Johnson X: @shocm Mastodon: @eric@phparch.social Bluesky: @ericvanjohnson.bsky.social John Congdon X: @johncongdon Mastodon: @john@phparch.social Bluesky: @johncongdon.bsky.social Streams: Youtube Channel Twitch Partner This podcast is made a little better thanks to our partners Displace Infrastructure Management, Simplified Automate Kubernetes deployments across any cloud provider or bare metal with a single command. Deploy, manage, and scale your infrastructure with ease. https://displace.tech/ PHPScore Put Your Technical Debt on Autopay with PHPScore CodeRabbit Cut code review time & bugs in half instantly with CodeRabbit. Honeybadger.io Honeybadger helps you deploy with confidence and be your team's DevOps hero by combining error, uptime, and performance monitoring in one simple platform. Check it out at honeybadger.io Music Provided by Epidemic Sound https://www.epidemicsound.com/ The post The PHP Podcast 2026.01.08 appeared first on PHP Architect.

A new year is here, and 2026 brings a new wave of marketing predictions. In our most anticipated episode of the year, the 2026 Trends edition of Ahead of the Game, DMI podcast host Will Francis explores the biggest changes, challenges, and opportunities facing marketers in the year ahead. As expected, AI dominates the conversation, but not in isolation. Across ecommerce, social media, youth marketing, PPC, and content creation, our experts share how marketers can move beyond automation and focus on creativity, trust, and genuine customer value. Will also highlights the growing need for authenticity in an increasingly AI-dominated world, a concept Instagram CEO Adam Mosseri touched on in a recent post. In this episode, 6 DMI experts explore this year's trends from across the digital marketing landscape: Jim Lecinski, Professor of Marketing at Northwestern Kellogg and author of The AI Marketing Canvas, predicts 2026 will see mobile AI become a constant shopping companion, with marketers shifting from AI automation to AI elevation focused on taste, curation, and brand value. He also flags power and infrastructure as emerging constraints on AI growth. Alison Battisby, founder of Avocado Social, warns of a surge in AI-generated video and “AI slop” that could erode trust, making transparency, human oversight, and authenticity more important than ever. She also highlights the rise of community-first platforms and increased automation in paid social. Jane McDaid, founder of youth marketing agency Thinkhouse, paints an optimistic picture for independent agencies, and sees creativity becoming the key differentiator as AI removes speed and efficiency advantages. She predicts continued growth in social, creator-led marketing, and PR playing a more central role in an LLM-driven ecosystem. Cathal Melinn, PPC specialist and regular DMI contributor, explains how AI is simplifying paid search through keywordless campaigns, Performance Max, and built-in AI assistants. While increased competition may drive costs up, he believes 2026 is a strong year for marketers to start experimenting with PPC. Derek Liddy, ecommerce expert and Head of Marketing at Nesta, forecasts growth in conversational ecommerce, hyper-personalisation, and AI-powered shopping agents. He stresses the importance of first-party data, authentic content, and strong product feeds to stay competitive. ---------------- The Ahead of the Game podcast is brought to you by the Digital Marketing Institute and is available on ⁠⁠⁠⁠YouTube, Apple Podcasts⁠⁠⁠⁠, ⁠⁠⁠⁠Spotify⁠⁠⁠⁠, and ⁠⁠⁠⁠all other podcast platforms. And if you enjoyed this episode, please leave a review so others can find us. If you have other feedback for or would like to be a guest on the show, email the podcast team! 

This Week In Startups is made possible by:Gusto - https://www.gusto.com/twistLemon IO -  https://lemon.io/twistQuo - http://quo.com/TWiSTToday's show: We keep hearing about how AI is killing our ability to think, filling our media with slop, and ruining our kids' ability to learn. It seems the internet is filled with negative sentiment about the future AI is bringing.Jason is joined by Grant Lee, CEO and co-founder of Gamma, as well as Steven Johnson, editorial director of NotebookLM to tackle these questions on today's AI roundtable!Grant and Steven break down how they are using AI to push forward their own productivity as well as their teams. Both say that AI makes you more creative! Steven points out that it helped him write his books by having AI do the “chore work” while he got to focus on the valuable insights and higher level thinking.One valuable tip was that AI can be used to uncover customer insights in a new medium. Steven and Grant both put customer feedback into an LLM, allowed them to have high level conversations with their whole user base about what features and products they each enjoy. If that isn't creative, then what is?Learn about all this and more in today's roundtable!Timestamps:(00:00) Introducing Steven Johnson and Grant Lee!(10:12) Gusto: Check out the online payroll and benefits experts with software built specifically for small business and startups. Try Gusto today and get three months FREE at https://www.gusto.com/twist(11:28) How Jason and the TWiST team uses NotebookLM(12:37) Will AI replace lawyers in startups and VC? Should they?(16:08) How the Gamma team uses AI understand their consumers(19:43) Lemon.io: Get 15% off your first 4 weeks of developer time at https://lemon.io/twist(22:38) How the Google team uses AI to “talk” to their whole user base.(24:45) Is AI replicating our brains and consciousness?(28:18) The ways that AI is changing how companies process information.(30:39) Quo (formerly OpenPhone) gives you a clean, modern way to handle every customer call, text, and thread all in one place. Try it free at http://quo.com/TWiST(31:43) Jason thinks groupchats are the modern coffee shop for interesting ideas!(32:48) Why Steven thinks AI makes creatives MORE ORIGINAL(40:02) HALF of US adults think AI makes you less creative(43:20) Grant defends using AI for doing research + making business decisions(45:28) Superforecasting — How to think about your thinking(53:00) Is education going back to blue books and oral exams?(56:30) Jevons Paradox and How AI will increase jobs for all!(59:50) Edison put whale hunters out of business but brought in electricians and movie industry(1:02:36) Jason coaches his employees to 10x themselves with AI tools to push value(1:05:54) Jason's call to join the AI revolution*Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcp*Follow Lon:X: https://x.com/lons*Follow Alex:X: https://x.com/alexLinkedIn: https://www.linkedin.com/in/alexwilhelm/*Follow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanis/*Thank you to our partners:(10:12) Gusto: Check out the online payroll and benefits experts with software built specifically for small business and startups. Try Gusto today and get three months FREE at https://www.gusto.com/twist(19:43) Lemon.io: Get 15% off your first 4 weeks of developer time at https://lemon.io/twist(30:39) Quo (formerly OpenPhone) gives you a clean, modern way to handle every customer call, text, and thread all in one place. Try it free at http://quo.com/TWiST

Teaser ... Cameron's work at AE studio ... Why consciousness is such a hard problem ... Why AI consciousness matters ... Does consciousness need carbon? ... The ethics of AI subjectivity ... Can we trust LLM self-reports? ... Cameron's innovative AI consciousness experiments ... Heading to Overtime ...

Ever wonder which third-party tools you actually need—and which ones you can skip? This week, I'm breaking down my recommended Etsy seller tools, from free options to need-to-haves, best-to-haves, and nice-to-haves, so you can choose what makes sense for your stage of selling. If you love efficiency and smart systems, you're going to love this tool list. **"How to Sell Your Stuff on Etsy" is not affiliated with or endorsed by Etsy.com   STUFF I MENTIONED:  ⭐"How to Blow Up Your Etsy Shop" free training: https://www.howtosellyourstuff.com/interested-in-blow-up-shop  ⭐" How to Earn your first $10k on Etsy" Ebook Waitlist: https://www.howtosellyourstuff.com/interested-in-ebook ⭐Scaling Society: https://www.howtosellyourstuff.com/scaling-society   ➡️ 40 listings free with my link (save $8): https://etsy.me/4jy41Js     ➡️ Canva (free) does not allow you to export with transparent background or remove background, no magic studio (erase pixels, grab text, remove elements) https://www.canva.com/   ➡️ Profittree (data, calculator, research, keywords)--- one time fee for lifetime access $67  https://lifetime.profittree.io/?via=lizzie87 Tutorial: https://www.youtube.com/watch?v=VO7Ra18ZPTw&t=1s   ➡️ Free Chatgpt account (listing descriptions, ideas – product picker, customer responses, etc) ➡️ Try my free product picker tool: https://www.howtosellyourstuff.com/what-to-sell-on-etsy   ➡️ AI image generator tool: Ideogram is best for beginners:  https://ideogram.cello.so/9T2aVq0TKWv   BEST TO HAVE: ➡️Trendspotting $37 per month (KEEP20 for month 1 at $17) https://www.howtosellyourstuff.com/offers/JxNYgLnw   ➡️ Canva pro (paid) $15/month https://www.canva.com/   ➡️ Everbee: https://www.everbee.io/?via=lizzie (free version, $29, $99) Tutorial: https://youtu.be/MucPFkvC8sk?si=iyaD0RbMbIp3echw   ➡️ Chatgpt (or other LLM like Grok/Gemini) free to $20/month https://chatgpt.com/   ➡️ Professional mockups: $3-7 each—get started for $20-$50 Request my free resource of high converting mockups: https://www.howtosellyourstuff.com/request-mockups-resource   ➡️ Legal Topics: https://www.howtosellyourstuff.com/legal-topics   ➡️ LLC Setup depends on state and varies widely.   Operating agreement template (Paige Hulse $475) Use code SMILEY10 for 10% off: ➡️ Single Person LLC Agreement: https://www.shopcreativelaw.com/shop/the-single-person-llc-operating-agreement   ➡️ Multi-Member LLC Agreement: https://www.shopcreativelaw.com/shop/multi-member-llc-operating-agreement   ➡️ Quickbooks: go through your Etsy shop Finances tab $10-57/month   ➡️  Chase Credit Card I use and recommend for Print on Demand (we both get bonus points with this link): https://www.referyourchasecard.com/19u/I9FKMHYBEE   ➡️ Printify (print on demand supplier): https://printify.com/   ➡️  My Favorite Cost Effective Shipping Tools from Amazon: —Boxes—search by the size you need: https://amzn.to/48P2BDS -Cost Effective Shipping tape: https://amzn.to/3wvpXw9 -Label printer: https://amzn.to/3HhKuJV -Labels rolls: https://amzn.to/3wv9kRm -Normal printer label sticker sheets: https://amzn.to/48rW4zf -Fragile stickers: https://amzn.to/3ovCzjB -Scale for weighing packages: https://amzn.to/30cfcTT   NICE TO HAVE: ➡️ Scaling Society (my all inclusive membership): https://www.howtosellyourstuff.com/scaling-society   ➡️ Gaming Laptop (for a lot of AI or visuals) https://amzn.to/3Yq6vzO   ➡️ Kittl: https://www.kittl.com/   ➡️ Midjourney (AI image generator): https://www.midjourney.com/   ➡️ Lastpass- password saver: https://lastpass.com   ➡️Creative Fabrica: https://www.creativefabrica.com/promo/7088/0P693-FGHIJKLMNO/ref/2877703 One month free (up to 10 downloads), Then $9.99/month for  All Access Subscription   ➡️ Simply Listed—mockup tool (14 day free trial, then $15-30/month): https://simplylisted.io/?via=lizzie ➡️ Hello Custom—personalized POD listings (one time fee $67): https://offer.hellocustom.io/lifetime-offer?affiliate_id=4273827  

Marketing technology stacks are expanding faster than teams can manage them. Scott Brinker, VP of Platform Ecosystem at HubSpot and founder of chiefmartec.com, explains how 5,384 martech tools now exist despite 8.6% vendor churn. He discusses context engineering as the evolution beyond prompt engineering, combining structured workflows with LLM capabilities for data analysis and customer service automation. Brinker predicts 2026 will shift power to AI-enabled buyers who bypass traditional sales funnels using agentic browsers for pricing analysis and product research.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

דן להב הקים עם שותפו, עומר נבו, את חברת אירגולר שכשמה כן היא, זזה בקצב לא רגיל בעליל. תוך כשנתיים מיום הקמתה כבר גייסה כמאה מיליון דולרים ורושמת הכנסות משמעותיות, בזכות העבודה המשותפת שלה עם מעבדות ה-AI הגדולות בעולם, כשאנשיה מנסים לוודא שאף מודל LLM משמעותי לא ישוחרר בצורה שתסכן את האנושות. כן, בסך הכל משימה קטנה שכזו.   נותני החסות לפרק: חברת 2sit שבה תקבלו 25% הנחה על הכסא הראשון שתקנו אם תגידו שהגעתם דרך גיקונומי      חברת חפשו בגוגל R&D משכנתאות וגיקונומי

Marketing technology stacks are expanding faster than teams can manage them. Scott Brinker, VP of Platform Ecosystem at HubSpot and founder of chiefmartec.com, explains how 5,384 martech tools now exist despite 8.6% vendor churn. He discusses context engineering as the evolution beyond prompt engineering, combining structured workflows with LLM capabilities for data analysis and customer service automation. Brinker predicts 2026 will shift power to AI-enabled buyers who bypass traditional sales funnels using agentic browsers for pricing analysis and product research.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Nir Soudry, Head of R&D at 7AI, breaks down how teams can move from early experimentation to real production work fast, without shipping chaos. If you are building AI features or agent workflows, this conversation is a practical look at speed, safety, and what it actually takes to earn customer trust.Nir shares how 7AI ships in tight loops with a real customer in mind, why pushing decisions closer to the engineers removes bottlenecks, and how guardrails and evaluation keep fast releases from turning into security risks. You will also hear a grounded take on human plus AI collaboration, and why “just hook up an LLM” falls apart at scale.Key takeaways• Speed starts with focus, pick one customer and ship something usable in two or three weeks, then iterate every couple of weeks based on real feedback• If you want velocity, remove the meeting chain, get engineers in the room with customers and push decisions downstream• Agent workflows are not automatically testable, you need scoped blast radius, strong input and output guardrails, and an evaluation plan that matches real production complexity• “LLM as a judge” helps, but it is not magic, you still need humans reviewing, labeling, and tuning, especially once you have multi step workflows• In security, trust is earned through side by side proof, run a real pilot against human outcomes, measure accuracy and thoroughness, then improve with tight feedback loopsTimestamped highlights00:28 What 7AI is building, security alert fatigue, and why minutes matter02:03 A fast shipping cadence, one customer, quick prototypes, rapid iterations03:51 The velocity playbook, engineers plus sales in the same meetings, fewer bottlenecks08:08 Shipping agents safely, blast radius, guardrails, and why testing is still hard14:37 Human plus AI in practice, how ideas become working agents with review and monitoring18:04 Why early AI adoption works for some customers, and how pilots build confidence24:12 The startup reality, faster execution, traction, and why hiring still mattersA line worth sharing“When it's wrong, click a button, and next time it will be better.”Pro tips you can steal• Run a two to four week pilot with one real customer and ship weekly, the goal is learning speed, not perfect coverage• Put engineers directly in customer conversations, keep leadership focused on unblocking, not gatekeeping• Treat every agent like a product surface, define strict inputs and outputs, sanitize both, and limit what it can affect• Build evaluation around real workflows, not single prompts, and combine automated checks with human review• Add feedback buttons everywhere, route feedback to both model improvement and the team that tunes production behaviorCall to actionIf you want more conversations like this on building real tech that ships, follow and subscribe to The Tech Trek.

Marketing technology strategy faces unprecedented complexity as AI transforms customer behavior. Scott Brinker, VP of Platform Ecosystem at HubSpot and founder of chiefmartec.com, explains how 2026 will shift power from marketers to AI-empowered buyers. He covers context engineering as the evolution beyond prompt engineering, combining deterministic workflows with adaptive LLM capabilities for better data analysis and customer service automation. Brinker predicts orchestration platforms will emerge to manage the chaos as every employee becomes a software developer through AI tools.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

After 7 years and hundreds of episodes, the Wizard finally gets to the point and lays out his "metaphysics of magic," a theory of everything that not only explains all of existence (at last!), but creates a intellectual foundation for the practice of magic and wizardry, which will be revealed next episode in our imminently practical follow up, What's the Point? (practice). For more on the ideas explored in this episode, check out The Invocation and What is an LLM? Join the ritual: www.patreon.com/thispodcastisaritual

  One of my favorite genre rabbit holes that I went down in 2025 was instrumental rock music. That title covers a lot of styles from post-rock to stoner rock to prog rock to cosmic country to fusion to psych rock etc. I've always listened to music that falls into this category whether it's Khruangbin or Causa Sui or Oren Ambarchi but this year my interest in this genre exploded.  So I thought I would create a mix of some of my favorite instrumental rock albums from 2025. I was surprised at how much I enjoyed the heavy stuff. This mix has a nice blend of a few heavy tunes with some Khruangbin-like tracks, a couple kraut rock style tracks, a jam band cut, a prog tune, even a dub track, and a bunch of other difficult to categorize music.    >>>LINKS TO ALL THE MUSIC USED IN THIS MIX

CNA is committed to using the latest technology to help us deliver for our sponsors. In this episode, we discuss how we are integrating our LLM, Morse Code, into our research process. Guest Biographies Dr. Jonathan Schroden is the Chief Research Officer within the Office of the President at the CNA Corporation. In this role, he oversees CNA's Research Office, including the life cycle of research quality excellence, our independent research program, research publications, editing, and support, human subjects research compliance, and research modernization and data governance.  Gregor Goodman is CNA's chief AI officer, acting as the end-to-end technology interlock between study sponsors and CNA on the largest high-impact projects. He works together with business and research leaders to build a technology partnership, ensuring that offered technical solutions deliver exceptional results for clients. Erin Mohres is the managing director of CNA's Center for Homeland Security and Infrastructure Resilience. Further Reading CNA: AI Maturity Model for Government Agencies Microsoft: CNA and Cloudforce deploy trusted AI to advance national security work

This Week In Startups is made possible by:Crusoe Cloud - https://crusoe.ai/buildUber - http://uber.com/twistEvery.io - http://every.io/Today's show: Jason and Alex are BACK on TWiST for 2026! This holiday season was anything but calm, with deca-corn acquisitions, massive Polymarket bets, and major new startups breaking from stealth!Jason talks the recent Nvidia-Groq $20B acquisition, a major exit for Chamath as the lead investor back in 2017! Jason delves into how the VC fund math shapes out for pre-seed VC funds vs. Series A VC funds.Jason and Alex delve into drama swirling META's AI team. Yann LeCun, META's former Chief AI Scientist, announced that he would be leaving META to become Executive Chairman at AMI Labs. LeCun left the META team in the new year, calling the new Chief AI Scientist, Alexandr Wang, inexperienced. LeCun now looks to move AI beyond the era of LLM at AMI Labs.PLUS Jason and Alex talk about the new social media app Tangle, from Biz Stone, co-founder of Twitter, and Evan Sharp, co-founder of Pinterest. Their Startup, West Co, launched tangle, which seeks to become an “intentional living” app. The two look to improve how humans interact with modern tech. Jason points out that very few news products have worked, but is eager to see how two industry veterans build in the space. Timestamps:(00:00) Why Restaurants are OVER — Peptides and other self medications(06:41) Nvidia Acqui-Hires Groq for $20 BILLION(9:48) Crusoe Cloud: Crusoe is the AI factory company. Reliable infrastructure and expert support. Visit https://crusoe.ai/build to reserve your capacity for the latest GPUs today.(11:00) The VC fund math between seed vs. Series A funds(15:00) META buys TWiST 500 Company, Manus! Why it matters.(20:20) Uber AI Solutions: Your trusted partner to get AI to work in the real world. Book a demo with them TODAY at http://uber.com/twist(21:24) Why Yann LeCun left META, and what could be behind it(25:27) Producer Claude on the Gondola Crash in Zurich(29:13) Jason's Request for Augmented human intelligence(30:11) Every.io - For all of your incorporation, banking, payroll, benefits, accounting, taxes or other back-office administration needs, visit http://every.io/(32:04) How one Trader made $436.8k on one bet on polymarket!(36:05) Jason's Predictions for 2026 IPOs(40:01) Is news broken? How Tangle is tackling it.(45:53) How much should startup incur in legal expenses? Should founders try to use AI to avoid costs?(50:59) Why Google should let NotebookLM cook, make it a standalone brand! *Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com/Check out the TWIST500: https://twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcp*Follow Lon:X: https://x.com/lons*Follow Alex:X: https://x.com/alexLinkedIn: https://www.linkedin.com/in/alexwilhelm/*Follow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanis/*Thank you to our partners:(9:48) Crusoe Cloud: Crusoe is the AI factory company. Reliable infrastructure and expert support. Visit https://crusoe.ai/build to reserve your capacity for the latest GPUs today.(20:20) Uber AI Solutions: Your trusted partner to get AI to work in the real world. Book a demo with them TODAY at http://uber.com/twist(30:11) Every.io - For all of your incorporation, banking, payroll, benefits, accounting, taxes or other back-office administration needs, visit http://every.io/

MarTech faces an 8.6% vendor churn rate despite AI expansion. Scott Brinker, VP of Platform Ecosystem at HubSpot and founder of chiefmartec.com, shares insights on navigating the evolving landscape where AI didn't consolidate MarTech but fragmented it further. He discusses context engineering as the evolution beyond prompt engineering, combining deterministic workflows with LLM capabilities for better data analysis and customer service automation. Brinker predicts 2026 will shift focus from AI for marketers to AI for customers, fundamentally disrupting traditional sales playbooks as buyers gain information asymmetry through agentic browsers and AI assistants.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.