Podcasts about ai design

Conviértete en miembro de este canal para disfrutar de ventajas:https://www.youtube.com/channel/UCxz7sBKlpcpyCiPwXupRymw/joinNo te pierdas de ningún contenido:https://isamarcial.com.mxhttps://instagram.com/isa_marcialhttps://twitter.com/isa_marcial/https://facebook.com/isaias.marcialhttps://twitch.tv/isa_marcialhttps://www.tiktok.com/@isa_marcialhttp://s.kw.ai/u/@isa_marcial/9LxCxlEHhttps://anchor.fm/isamarcialhttps://t.me/isa_marcialÍndice00:00 Intro y agradecimiento a miembros01:35 Motorola lanza de forma oficial el nuevo Edge 70 Max portando una batería de 7,100 mAh04:45 Samsung presenta Flex Titanium, una tecnología para reducir la arruga en pantallas plegables06:49 Renders filtrados revelan los tamaños y opciones de color del próximo Google Pixel Watch 508:43 Xiaomi introduce el REDMI Note 17 Pro con una batería masiva de 9,000 mAh y alta resistencia12:28 El nuevo REDMI Note 17 debutará en el mercado con una enorme pantalla de 7 pulgadas15:03 Samsung devela Fluid AI Design System, su futura filosofía de interfaz basada en tarjetas inteligentesSegundo canal: https://www.youtube.com/channel/UCbWK7ENMKOhJDPm0Tew0eOw/featuredNegocios: contacto@isamarcial.com.mxDisfruta de más contenido:

AI is making it easier than ever to create images, posters and marketing material in seconds, but as more people turn to these tools, a new concern is emerging: everything is starting to look the same. Lester Kiewit speaks to Mohammed Jogie, Design and Strategy Director at the Institute of Media, Strategy and Design, about the rise of “AI slop”, why generic AI-generated designs can miss the mark, and why human creativity remains essential when it comes to cutting through a crowded digital landscape. Good Morning Cape Town with Lester Kiewit is a podcast of the CapeTalk breakfast show. This programme is your authentic Cape Town wake-up call. Good Morning Cape Town with Lester Kiewit is informative, enlightening and accessible. The team’s ability to spot & share relevant and unusual stories make the programme inclusive and thought-provoking. Don’t miss the popular World View feature at 7:45am daily. Listen out for #LesterInYourLounge which is an outside broadcast – from the home of a listener in a different part of Cape Town - on the first Wednesday of every month. This show introduces you to interesting Capetonians as well as their favourite communities, habits, local personalities and neighbourhood news. Thank you for listening to a podcast from Good Morning Cape Town with Lester Kiewit. Listen live on Primedia+ weekdays between 06:00 and 09:00 (SA Time) to Good Morning CapeTalk with Lester Kiewit broadcast on CapeTalk https://buff.ly/NnFM3Nk For more from the show go to https://buff.ly/xGkqLbT or find all the catch-up podcasts here https://buff.ly/f9Eeb7i Subscribe to the CapeTalk Daily and Weekly Newsletters https://buff.ly/sbvVZD5 Follow us on social media CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/CapeTalk CapeTalk on YouTube: https://www.youtube.com/@CapeTalkSee omnystudio.com/listener for privacy information.

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop speaks with Ekaterina Matveeva, founder of Amolingua and Lingo Plus and co-organizer of AI roundtables with EcoCivilization. The conversation covers a wide range of AI-related topics, from the cultural implications of AI development across different countries to the evolution of Ekaterina's perspective on artificial intelligence—moving from initial anger and fear in 2023 to active participation in AI model design by 2025. They discuss the importance of including diverse cultural perspectives in AI training, the cross-country differences in AI regulation (comparing Argentina's human-out-of-the-loop approach to Europe's cautious stance), and the critical question of which sectors need humans in the decision-making loop. The discussion ventures into brain-computer interfaces and Neuralink, examining what happens when technology is removed and questioning whether healthy humans should pursue such enhancements, before touching on the future of personal AI models and the preservation of indigenous wisdom in AI training. You can connect with Ekaterina on LinkedIn to follow her work on AI, education, and cross-cultural technology development.Timestamps00:00 Stewart welcomes Ekaterina Matveeva, founder of Amolingua and Lingo Plus, discussing her work organizing AI roundtables with EcoCivilization05:00 Ekaterina shares her evolution from anger toward AI in 2023 to realizing collaboration potential, emphasizing importance of multicultural perspectives in AI development and training10:00 Discussion of Argentina's new AI liability bill creating human-out-of-loop systems, contrasting with Europe's human-in-loop requirements and different global regulatory approaches15:00 Safety considerations in robotics and AI development, comparing industrial automation standards across regions and discussing Pentagon's use of Anthropic with Palantir systems20:00 Exploring brain-computer interfaces and Neuralink developments, questioning enhancement versus necessity and examining motivations behind cognitive augmentation technologies25:00 Debating human capabilities beyond cognitive function, discussing nervous system, emotions, psychosomatics, and whether brain generates or receives thoughts30:00 Examining societal divisions from enhancement technologies, referencing Avatar and Years and Years series, questioning benefits for healthy individuals versus disability applications35:00 Discussing technological gaps between enhanced and standard populations, concerns about corporate seduction into cybernetic modifications, and lack of long-term safety studies40:00 Questioning who frames AI conversations and trains models, exploring dominant worldviews embedded in AI systems and Vatican-Anthropic collaboration implications45:00 Stewart shares mistakes with Facebook biometric data and building personal AI infrastructure, emphasizing importance of controlling your own models and data50:00 Analyzing whether massive data collection actually improves AI training, questioning if user conversations become buried garbage rather than meaningful model improvements55:00 Ekaterina discusses plans for organizing more roundtables, integrating indigenous wisdom into AI training, and connecting on LinkedIn for future collaborationsKey Insights1. Ekaterina Matveeva's perspective on AI has evolved significantly since 2023, moving from initial anger and fear about AI's impact on education and translation work to becoming actively involved in AI development and training. She realized that instead of resisting AI advancement, she could participate in shaping it by contributing her expertise in education, language, and cross-cultural communication. This shift represents a broader realization that diverse participation in AI development is crucial for creating more versatile and culturally sensitive models rather than allowing a monopoly of values from any single country or culture.2. The conversation highlights fundamental differences in AI regulation across regions, with Europe implementing human-in-the-loop requirements and comprehensive safety measures, while Argentina is reportedly creating frameworks for human-out-of-the-loop AI systems with limited liability. The United States falls somewhere between these approaches, pursuing rapid advancement with fewer regulatory constraints. These divergent approaches reflect different cultural values and priorities, raising important questions about whether AI development should prioritize efficiency and profit or human oversight and control in critical infrastructure sectors.3. Both speakers express concern about brain-computer interfaces like Neuralink, questioning the motivation behind enhancing cognitive abilities when humans already possess multiple forms of intelligence including emotional, cultural, and bodily intelligence. The primary applications demonstrated so far appear limited to video games and potentially military applications, raising questions about whether the technology serves genuine human needs or merely represents an attempt to compete with robots. The speakers emphasize that humans are already complete beings with sophisticated nervous systems, senses, and capabilities that extend far beyond cognitive processing.4. A critical insight emerges around the question of what happens when advanced technologies are removed or turned off. This applies both to brain-computer interfaces and to broader civilization infrastructure dependencies. The speaker shares experiences from 2020 of attempting to live independently in rural California, discovering the challenges of isolation and self-sufficiency. This relates directly to concerns about creating dependencies on technologies where the software ownership and control remain unclear, particularly when those technologies become integrated into human bodies or essential services.5. The discussion reveals concerns about increasing societal division based on access to enhancement technologies. Beyond existing financial inequalities, the speakers worry about a future where people who can afford biological and technological enhancements will advance rapidly while others are left behind. This isn't about disadvantaging certain groups but rather about creating an unbridgeable gap between enhanced early adopters and what they call standard populations who may be intelligent people maintaining traditional ways of life but lacking access to expensive enhancement technologies.6. Matveeva emphasizes the importance of including diverse cultural perspectives, particularly indigenous wisdom and Buddhist traditions, in AI training data. She argues that current AI models reflect the worldviews, values, and hierarchies of their predominantly Western designers, which influences the guidance these models provide to users worldwide. By incorporating wisdom traditions from various cultures, AI models could potentially become wiser and more culturally adaptive, serving diverse populations more effectively rather than imposing a single cultural framework globally.7. The speakers discuss the problematic nature of data collection and ownership in AI training, noting that massive amounts of user data may not actually be improving AI models as expected. There are indications that some AI companies are now specifically requesting users to help train models on their prompts, suggesting that simply collecting billions of conversations hasn't been as useful as anticipated. This raises questions about whether the data users have given away over the past several years has actually made significant impact or is simply buried in chunks of information that aren't effectively connected to meaningful improvements in AI performance.

Episode 521 James and Frank obsess over “polish”: the tiny design and packaging details that make apps feel finished. They start with impeccable.style, product.md and design.md (and why agents.md and readme aren't enough), then dig into UI fit‑and‑finish — tray/menu UIs, icon choice, grouping settings and why AI agents still struggle with layout and whitespace. The conversation then moves deep into Windows packaging: WinApp SDK versions, trimming woes with WinRT, ready‑to‑run vs. single‑file self‑contained builds, MSIX tradeoffs, and strange cases where builds bloat with unwanted packages. Key takeaways: give agents the right metadata, expect to hand‑tune UI polish, split architectures, disable R2R for size savings, exclude unnecessary SDK assets, and use Windows Sandbox/WSD for testing. A practical, nitty‑gritty episode for devs who care about the final mile. Follow Us Frank: Twitter, Blog, GitHub James: Twitter, Blog, GitHub Merge Conflict: Twitter, Facebook, Website, Chat on Discord Music : Amethyst Seer - Citrine by Adventureface ⭐⭐ Review Us ⭐⭐ Machine transcription available on http://mergeconflict.fm

This week we are going behind the scenes of Config 2026 with Loredana Crisan (Figma's Chief Design Officer) https://www.linkedin.com/in/loredanacrisan/We talk about Figma's vision for AI, why design is having “an identity crisis and a renaissance at the same time,” and what it means to use AI to express what's already in your head (not outsource creativity to it).It's a clarifying conversation about taste, tools, and the future of design

Yoko Li and Justine Moore speak with Ideogram founder and CEO Mohammad Norouzi about image generation models, design workflows, and the evolving relationship between AI and creative work. The conversation covers Ideogram's decision to release an open-weight model, the challenges of generating text and layouts within images, and why controllability has become an increasingly important area of research. They discuss prompting, customization, editing, and the tradeoffs between general-purpose models and systems optimized for specific creative tasks. Along the way, Norouzi shares his views on open-source AI, design tools, agentic workflows, and how image generation models may evolve as creators and enterprises seek greater control over their outputs. Resources: Follow Mohammad Norouzi on X: https://x.com/mo_norouzi Follow Yoko Li on X: https://x.com/stuffyokodraws Follow Justine Moore on X: https://x.com/venturetwins   Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends! Find a16z on X: https://x.com/a16z](https://x.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Listen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX Listen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711 Follow our host: https://x.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 http://a16z.com/disclosures.  Stay Updated:Find a16z on YouTube: YouTubeFind 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.

Yoko Li and Justine Moore speak with Ideogram founder and CEO Mohammad Norouzi about image generation models, design workflows, and the evolving relationship between AI and creative work. The conversation covers Ideogram's decision to release an open-weight model, the challenges of generating text and layouts within images, and why controllability has become an increasingly important area of research. They discuss prompting, customization, editing, and the tradeoffs between general-purpose models and systems optimized for specific creative tasks. Along the way, Norouzi shares his views on open-source AI, design tools, agentic workflows, and how image generation models may evolve as creators and enterprises seek greater control over their outputs.   Resources: Follow Mohammad Norouzi on X: https://x.com/mo_norouzi Follow Yoko Li on X: https://x.com/stuffyokodraws Follow Justine Moore on X: https://x.com/venturetwins   Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends! Find a16z on X: https://x.com/a16z](https://x.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Listen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX Listen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711 Follow our host: https://x.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 http://a16z.com/disclosures.  Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What happens when a former consultant, startup operator, and self-described “anxious overachiever” discovers the contract furniture industry for the first time? In this episode, Alexandra sits down with Kieran Luke, founder of Cerulean, to discuss how AI is being thoughtfully applied within dealer workflows and why the goal isn't replacing people, but helping them reclaim their time. Kieran accidentally found himself in contract furniture after growing up in Australia and building startups in New York. During this path, he realized that highly skilled dealer designers were spending hours each week on repetitive, manual tasks. Alexandra and Kieran unpack the realities of AI in our industry: the skepticism, the ethical concerns, the fear around jobs, and the opportunities to create more sustainable and fulfilling work. Whether you're AI-curious, AI-cautious, or already experimenting with new workflows, this conversation will challenge you to think differently about what technology should actually do for people. REGISTER NOW for POP Into Excellence Connect with Kieran Luke on LinkedIn Learn more about Cerulean Connect with Alexandra on LinkedIn Follow The Design POP on LinkedIn Access on-demand training at The Design POP. Questions? Email info@thedesignpop.com The Design Pop is an Imagine a Place Production (presented by OFS) Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Hello voices from the bench community, John Wilson here and I wanted to share some news about the evolution of the Programill lineup. Most importantly, Ivoclar's new PrograMill 7. What stands out right away is the reduced air consumption this mill requires, but what you'll notice first is that impressive new touchscreen. For us, the biggest advantage has been increased spindle power. My laboratory's known for these larger cases with complex geometries, and I can tell you that extra power really makes a difference. Next time you see your Ivoclar representative, be sure to ask about the PrograMill 7 and tell them John Wilson sent you. Thank you. At exocad Insights in beautiful Mallorca, we finally caught up with Felix from Imagine USA—and the timing couldn't have been better. As an exocad dealer on the front lines of digital dentistry, Felix shared his excitement about the strong turnout, the familiar faces, and most importantly, the innovation coming from exocad. What stood out most? The new exocad Hub and its cloud-based capabilities, along with powerful AI-driven tools inside DentalDB designed for efficient batch processing. For Felix and the Imagine team, it's not just about seeing what's new—it's about putting it to the test. By running new features through their own production facility first, they ensure real-world performance before bringing solutions to their customers. Beyond the technology, Felix emphasized the value of being there in person—connecting face-to-face with partners, having meaningful conversations, and stepping back to see where the industry is headed. And of course, doing it all in Mallorca doesn't hurt either. This week at the Dental Laboratory Association of Texas Meeting 2026, the microphones stayed hot as three completely different conversations all circled around the same thing: how fast the dental lab industry is evolving. First up, the crew sat down with Tony Aliatim from Axis Dental Milling to talk about going from biomedical engineering and printing silicone heart models for surgeons… to becoming one of the go-to names in dental milling. From industrial machining roots in Michigan to AI-powered calibration systems and Straumann plug-and-play workflows, Tony breaks down how VersaMill machines are helping labs mill everything from zirconia to implant abutments faster, smarter, and safer. Along the way, the conversation dives into HyperDent, trade show madness, wet vs dry milling nightmares, and why dental technicians may not realize how close this industry really is to aerospace-level manufacturing. Then things shifted from mills to maintenance with Rebekah Serrago and Chris Wilson from Garland Dental Services. What started decades ago as a garage-based repair business fixing handpieces has grown into one of the industry's best-kept secrets for equipment sales, service, and support. Rebekah shares the story of growing up folding flyers for her father's repair company before eventually becoming CEO and expanding Garland into a massive online sales and service operation supporting everything from ovens to mills. Chris joins in to talk preventative maintenance, service certifications, keeping ancient ovens alive, and why labs desperately need dealers that actually understand the equipment they sell. It's equal parts family-business story, repair shop wisdom, and hilarious behind-the-scenes dental lab banter. Finally, the future officially arrived when the podcast crew sat down with Antoine Coppens from Relu and orthodontic lab owner Christian Saurman of New England Orthodontic Laboratory. What started as four engineering students experimenting with AI in Belgium somehow turned into fully automated dental workflows capable of designing surgical guides, night guards, models, and restorations in minutes. The conversation explores how AI is reshaping lab workflows, reducing manual design time, integrating directly into LMS systems, and even learning individual lab preferences. Christian explains how his custom-built orthodontic lab management system helped eliminate workflow chaos and automate huge portions of production, while Antoine gives a fascinating look into where dental AI is headed next. Between AI-generated appliances, automated scan checks, and self-learning workflows, this episode feels less like science fiction and more like a preview of what labs will look like over the next five years.Special Guests: Antoine Coppens, Chris Wilson, Christian Saurman, Rebekah Serrago, and Tony Aliatim.

Hello voices from the bench community, John Wilson here and I wanted to share some news about the evolution of the Programill lineup. Most importantly, Ivoclar's new PrograMill 7. What stands out right away is the reduced air consumption this mill requires, but what you'll notice first is that impressive new touchscreen. For us, the biggest advantage has been increased spindle power. My laboratory's known for these larger cases with complex geometries, and I can tell you that extra power really makes a difference. Next time you see your Ivoclar representative, be sure to ask about the PrograMill 7 and tell them John Wilson sent you. Thank you. At exocad Insights in beautiful Mallorca, we finally caught up with Felix from Imagine USA—and the timing couldn't have been better. As an exocad dealer on the front lines of digital dentistry, Felix shared his excitement about the strong turnout, the familiar faces, and most importantly, the innovation coming from exocad. What stood out most? The new exocad Hub and its cloud-based capabilities, along with powerful AI-driven tools inside DentalDB designed for efficient batch processing. For Felix and the Imagine team, it's not just about seeing what's new—it's about putting it to the test. By running new features through their own production facility first, they ensure real-world performance before bringing solutions to their customers. Beyond the technology, Felix emphasized the value of being there in person—connecting face-to-face with partners, having meaningful conversations, and stepping back to see where the industry is headed. And of course, doing it all in Mallorca doesn't hurt either. From wire-bending machines and digital ortho workflows to Vulcanite dentures and photogrammetry, this episode from the DLAT floor is packed with stories, laughs, and a whole lot of dental lab wisdom. First up, the crew sits down with Jason Dyas — better known these days as the man behind Ortho Outlaw and everyone's favorite outlaw mascot, Clyde. Jason shares his journey from construction work and garage-built orthodontic appliances to running successful ortho labs and diving headfirst into digital technology. What started with fax-machine marketing and Walmart bench grinders eventually evolved into automated wire-bending machines, digital scanning, social media content creation, and a growing mission to help older labs embrace modern workflows instead of shutting their doors. The conversation covers everything from AI-driven ortho tech and the future of wire bending to building a brand, traveling to industry events around the world, and how Ortho Outlaw became one of the most recognizable new names in orthodontic lab social media. Then the podcast catches up with longtime friend of the show Jim Collis for an incredible deep dive into 45 years of dental technology experience. Jim talks about teaching hands-on courses at DLAT, helping labs transition from analog workflows into digital dentures and 3D printing, and why education is still the key to success in modern dentistry. From discussing AI-assisted denture design and automated workflows to reminiscing about fixing Vulcanite dentures and the earliest days of implants, Jim delivers one amazing story after another. Along the way, he shares lessons from his CDT journey, the mentors who shaped his career, his passion for consulting and education, and why he still loves this industry after nearly five decades. It's equal parts history lesson, technology discussion, and classic Voices From the Bench chaos — complete with Star Trek references, Slurpee stories, and enough off-topic tangents to make Barb proud.Special Guests: Clyde, Jason Dyas, and Jim Collis CDT.

I sit down with Meng To for his second appearance on the pod to dig into design md, Google's newly open-sourced format for capturing the soul of a design and porting it across every medium and tool. Meng walks me through a live demo of how he uses design md alongside skills, HTML references, and tools like Aura, New Form, Codex, and OpenClaw to ship landing pages, motion design, slides, and mobile mocks that actually feel custom. We get into the design drift problem with one-shot prompts, why taste is the real moat for builders right now, and how he runs four products as effectively a team of one while iterating a thousand-plus prompts deep. If you build with agents and you want your work to stand out from the sea of purple-gradient lookalikes, this one is for you. Timestamps 00:00 – Intro 04:00 – What design md actually is 07:17 – Examples: one design DNA across slides, promo videos, motion 09:31 – How to create design system 14:05 – The importance of taste and design 18:28 – Variant, remixing, and skills as ingredients 21:36 – Live demo: creating a landing page with design md and HTML 24:36 – Thoughts on Google Stitch 25:41 – Being fast and at edges is an unfair advantage 29:29 – Midjourney parallels and the queuing flow state 31:44 – Walking through skills (skeuomorphic, 3D, lasers) 34:07 – Now everyone is a designer 36:47 – The full design workflow 38:50 – Iteration versus remix 39:24 – Judgment per minute as the new craft 41:06 – Solo building vs building a team 44:34 – Taste is the moat 48:25 – Building a second brain for design inspiration 50:41 – Closing thoughts Key Points Design md is a portable blueprint for typography, color, spacing, and effects that you attach to any prompt to keep design consistent across web, mobile, slides, and motion. One-shot prompts collapse on page two; a design system carries the soul across every medium and tool you switch into. Skills work like ingredients (lasers, skeuomorphic, 3D, copywriting), and stacking them on top of design md  is what separates custom work from generic vibe-coded output. Taste is the real moat right now, and you build it by surrounding yourself with great design and using every product in your niche. Iteration (90% of the time) keeps a product evolving; remix (10%) takes the same DNA into a new medium or category. The shift in craft is from moving pixels to making judgment calls per minute, with agents handling the mechanical work. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND MENG ON SOCIAL Aura: https://aura.build X/Twitter: https://x.com/MengTo

Show DescriptionBrad and Ian Frost are back to chat about integrating AI into website and design system building, how to keep AI slop out of your design systems, building things humans need regardless of the tooling, and thinking of AI as a fancy linter. Listen on WebsiteGuestsBrad FrostGuest's Main URL • Guest's SocialIan FrostGuest's Main URL • Guest's SocialLinks Redesigning My Website While Painting a Mural: The Ancient Future of Web Design - YouTube AI & Design Systems Course with Brad Frost, TJ Pitre, and Ian Frost Brad Frost Ian Frost

What if you could parse your Altium project files from the command line, generate a full BOM in seconds, extract net lists as AI-readable JSON, and spin up a 3D HTML viewer with zero dependencies — all without ever opening Altium? In this episode of the OnTrack Podcast, host Zach Peterson sits down with Eli Hughes, principal at Wavenumber LLC, to dig into a suite of open-source tools he's built around Altium file formats. Eli walks through the Altium Cruncher toolset, including Mega Maid (a vacuum-cleaner-style data extractor), a 3D PCB visualizer, and a schematic viewer with animated net tracing — all self-contained HTML files requiring no install or cloud connection.   The conversation goes far beyond visualizers. Eli reveals how he feeds parsed net lists directly into Claude and Codex for AI-assisted design reviews, power tree analysis, and even automatic Zephyr device tree generation — completing in minutes what used to take a full day. He also lays out his vision for a next-generation PDM system: an AI-queryable knowledge store that ingests decades of schematic history, EVK reference designs from TI, Renesas, NXP, and more, and supply chain data — so engineers can stop reinventing the wheel and start building on proven, procurable circuits. If you care about PCB workflow automation, AI-assisted hardware development, or the future of design reuse, this episode is essential viewing.  

In this Broad Match Show, Danny McMillan and Adam Heist cover two of the most practical AI frontiers for Amazon sellers right now: getting direct API access to your Seller Central data and building a fully automated design workflow from inspiration through to live assets. Adam breaks down how he connected Amazon's SP API and Ads API to an AWS database and wired Claude Code directly to it — giving him real-time, queryable access to years of business data across any metric. No developer required. Danny walks through his 8-step system that takes a seller from a TikTok scroll to a finished, conversion-tested design with brand consistency baked in. Both share hard-won lessons on where AI gets you (the 70–85% mark) and where the human still needs to step in — plus a candid look at what's changing at Seller Sessions Live on May 9th. Key Topics Amazon API data pipeline — SP API + Ads API → AWS database → Claude Code for real-time analysis 8-step AI design workflow — Inspiration capture, memory/photo brain, brand system, mood board, asset generation, build, and quality gate CLI vs MCP — Why CLIs are becoming the cleaner integration path for tools like Google Workspace Seller Sessions Live (May 9th) — New modular format, no sponsors, £5,000 fine system for service providers pitching Health check-in — Adam on fitness goals; Danny on resolving a high ferritin (iron overload) diagnosis Timestamps [00:00] Welcome and introductions [01:10] Adam: Getting Amazon SP API and Ads API access as an individual brand [05:00] Storing API data in AWS and connecting it to Claude Code [07:30] Building custom dashboards and software from your own data [09:00] How to approach it if you're not technical — think first, screenshot issues, let Claude walk you through [12:25] Danny: 8-step AI design workflow overview [13:30] Step 1 — Inspiration capture from TikTok, YouTube, social reels [14:20] Steps 2–3 — Memory/photo brain + design system (52 world-leading brands baked in) [15:30] Steps 4–5 — TLDraw mood board + asset generation (Nano Banana 2, Gemini, Remotion) [17:50] Steps 6–7 — Build stage (React, Tailwind, ShadCN, Netlify deploy) [18:30] Step 8 — Quality gate (216-feature scoring: UX heuristics, typography, psychology) [19:30] Google Stitch + Perplexity demo: full brand system from a product title + screenshot [23:12] Adam: the 70–85% rule and how to think about AI-assisted design cycles [27:35] Danny: Google Workspace CLI for email — running launches under 3,000 contacts [29:26] Health updates — Adam on fitness; Danny on ferritin/iron overload and phlebotomy sessions [35:45] Seller Sessions Live May 9th — format, venue (inside a church), evening networking [41:49] The £5,000 fine system for service providers pitching at the event [43:01] Wrap-up Key Takeaways You can get Amazon API access as an individual brand — no developer credentials needed. SP API goes back 720 days; Ads API covers 60 days. Approval takes 1–2 days. AWS as a data warehouse for Amazon data — pipe the API into AWS, connect Claude Code to it, and query anything: anomalies, stock-outs, week-on-week comparisons, year-over-year trends. The non-technical workflow is: think → verbalize → screenshot issues → let Claude solve — you don't need to understand the infrastructure, just be clear on what you want to achieve. AI gets you to 70–85% fast — bring in your designer or team at stage 4, not stage 0. Cycle times drop from 6 weeks to 1 week. CLIs beat MCPs for tool integrations where available — less token overhead, fewer config issues, more cohesive experience in Claude Code. Google Workspace CLI can replace Mailchimp/Klaviyo for small lists — Gmail allows up to 3,000 sends per day; viable for product brand launches under that threshold. Seller Sessions Live is now sponsor-free and profitable on ticket revenue alone — the event model is shifting away from conference-style sponsorship dependency. Notable Quotes "Getting the actual real-time API data access has been just another level completely." — Adam Heist "The original thought is: I need to get API access and I need to connect that to Claude. That's my thinking. And then you literally just verbalize that and use screenshots as you get stuck." — Adam Heist "AI gets you to the finish line faster across way more dimensions, so instead of doing 600 things in a year, you're doing 2,000." — Adam Heist "We live in a time whereby execution in a way is taken care of by AI. Where we're needed is on the vision — do we build this or don't we build it?" — Danny McMillan "Know with AI it's dumb unless you give it a brain." — Danny McMillan Resources Mentioned Amazon SP API — Business reports, inventory, listings, SQP data; up to 720 days historical Amazon Ads API — Ad performance data; 60-day lookback AWS (Amazon Web Services) — Cloud database for storing API data; connects to Claude Code via MCP or CLI Claude Code — AI coding assistant used to build the data pipeline and dashboards Google Stitch — Free UI design tool; used to generate brand systems from a product image + title Perplexity — Combined with Stitch to generate full design systems from Amazon listings Nano Banana 2 — Image generation tool controlled via Claude; used in Danny's asset generation step Gemini — Used with reference images for asset generation Remotion — Video generation component in Danny's design workflow TLDraw — Collaborative whiteboard/mood board tool; integrated with Claude for live-updating design boards React / Tailwind / ShadCN — Front-end stack used in the build step of Danny's workflow Netlify — Deployment target for the build step 21st Century Dev / ShadCN MCPs — Component library MCPs used in the build stage Google Workspace CLI — Cleaner alternative to Gmail MCP for read+write workflows in Claude Code Playwright / Fetch MCP — Browser automation tools; Danny built a 4-stage cascade scraper for Amazon About the Show The Broad Match Show is a monthly format on Seller Sessions, hosted by Danny McMillan and Adam Heist. It covers the cutting edge of AI tools, Amazon strategy, and brand building — first Tuesday of every month. Seller Sessions is one of the longest-running Amazon seller podcasts, hosted by Danny McMillan. Known for deep-dives into conversion, data, and the practical application of AI for e-commerce brands.

Dennis and Tom compare notes on their current AI projects, discussing what has recently captured their attention and which discoveries have been worth further exploration. Dennis discusses his efforts for extracting greater value (and fun!) from AI processes while avoiding the phenomenon of “AI drift”. Tom explains his work toward partnering with AI to create usable products and tools to solve everyday problems. And, we even hear about Dennis's quirky creation of an AI sleuth based on detectives in literature and TV.  Later, Dennis shifts this AI-centric conversation to his latest methods for extracting essential data from AI sessions for greater refinement and usefulness.    As always, stay tuned for the parting shots, that one tip, website, or observation that you can use the second the podcast ends.   Have a technology question for Dennis and Tom? Call their Tech Question Hotline at 720-441-6820 for the answers to your most burning tech questions. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, we investigate breakthroughs in AI design through the lens of Codex and Claude. Explore how these innovations address real-world issues.

In this episode of the IoT For All Podcast, Matthias Wagner, Founder and CEO of Flux, joins Ryan Chacon to discuss AI-assisted hardware design for IoT. The conversation covers the historical challenges of hardware design, the current capabilities of AI tools, compressing the hardware iteration cycle, integration challenges, the limitations of AI, and enabling IoT innovation.Matthias Wagner is the Founder and CEO of Flux, the world's first AI hardware engineer. He is a maker, a hands-on technical leader, and an entrepreneur leading a grassroots revolution in hardware design. Under his leadership, Flux has grown to more than 1M sign-ups and has powered more than 6M hardware projects to date.Flux is the world's first AI hardware engineer. Just as AI coding has transformed software development, Flux is transforming hardware design with agentic AI by allowing anyone to design PCBs with natural language prompts. Flux is able to understand schematics, PCB layouts, and component constraints, helping teams design, review, and optimize hardware in real time. It makes professionals faster and gives non-engineers the ability to build products they could only dream of in the past. With more than 1 million sign-ups and more than 6 million projects created to date, Flux is pioneering a new era of AI-native hardware design.Discover more about IoT and AI at https://www.iotforall.comFind IoT solutions: https://marketplace.iotforall.comMore about Flux: https://www.flux.aiConnect with Matthias: https://www.linkedin.com/in/matthias-wagner-5220b047/Our sponsor: https://kiloiot.ioSubscribe on YouTube: https://bit.ly/2NlcEwmJoin Our Newsletter: https://newsletter.iotforall.comFollow Us on Social: https://linktr.ee/iot4all

What is Agentic AI — and what can it actually do for your business? In this episode of the podcast, host Bobby Brill brings together three conversations with the people building Agentic AI at ServiceNow into one 20-minute briefing. Whether you're leading a team, managing a platform, or just trying to understand what your company is investing in - this episode gives you the full picture. ━━━━━━━━━━━━━━━━━━━━━━━━ WHAT WE COVER ━━━━━━━━━━━━━━━━━━━━━━━━ RITA CASTILLO — VP of Design, Platform & AI The clearest explainer of Agentic AI you'll find. Rita walks through the full evolution from scripted automation to agentic systems, what makes agentic different, and how the orchestrator-and-agent hierarchy works at ServiceNow. AMRUTHA RAMESH — Visiting Researcher, ServiceNow Amrutha built Agent Ada — a real AI agent designed to turn enterprise data into actionable insights. She explains how Ada understands your goal, adapts to who's asking, and delivers analysis your team can actually use. ISSAM LARADJI & ANITHA RAGHAVAN — Research Scientist & Product Manager, ServiceNow How do you know if your AI's insights are trustworthy? Issam and Anitha built InsightBench — a benchmark that uses AI to evaluate AI — to answer exactly that question. ━━━━━━━━━━━━━━━━━━━━━━━━ CHAPTERS 0:00 Introduction1:30 What Is Agentic AI? — Rita Castillo, VP of AI Design6:00 How Agents Work as a Team10:30 Meet Agent Ada — Amrutha Ramesh, Visiting Researcher16:00 Can You Trust Your AI? — Issam Laradji & Anitha Raghavan21:30 Wrap-Up ━━━━━━━━━━━━━━━━━━━━━━━━ GUESTS ━━━━━━━━━━━━━━━━━━━━━━━━ Rita Castillo — VP, AI Design at ServiceNow Amrutha Ramesh — Visiting Researcher, ServiceNow Issam Laradji — Research Scientist, ServiceNow Anitha Raghavan — Product Manager, ServiceNow ━━━━━━━━━━━━━━━━━━━━━━━━ LEARN MORE ━━━━━━━━━━━━━━━━━━━━━━━━ ServiceNow Agentic AI: https://www.servicenow.com More episodes: Narrative Analytics with Agent Ada: https://youtu.be/k1P9o2glq90 InsightBench & AgentPoirot: https://youtu.be/0_ikQQ82qAk Understanding Agentic AI with Rita Castillo: https://youtu.be/JyFdcQChYLs ━━━━━━━━━━━━━━━━━━━━━━━━ ABOUT THIS PODCAST ━━━━━━━━━━━━━━━━━━━━━━━━ Hosted by Bobby Brill. ServiceNow INsights podcast explores the people, technology, and ideas shaping the future of work. #AgenticAI #ServiceNow #AIAgents #ArtificialIntelligence #FutureOfWork #EnterpriseAI #DataAnalytics #NowAssist #MachineLearning #PodcastSee omnystudio.com/listener for privacy information.

What is Agentic AI — and what can it actually do for your business? In this episode of the podcast, host Bobby Brill brings together three conversations with the people building Agentic AI at ServiceNow into one 20-minute briefing. Whether you're leading a team, managing a platform, or just trying to understand what your company is investing in - this episode gives you the full picture. ━━━━━━━━━━━━━━━━━━━━━━━━ WHAT WE COVER ━━━━━━━━━━━━━━━━━━━━━━━━ RITA CASTILLO — VP of Design, Platform & AI The clearest explainer of Agentic AI you'll find. Rita walks through the full evolution from scripted automation to agentic systems, what makes agentic different, and how the orchestrator-and-agent hierarchy works at ServiceNow. AMRUTHA RAMESH — Visiting Researcher, ServiceNow Amrutha built Agent Ada — a real AI agent designed to turn enterprise data into actionable insights. She explains how Ada understands your goal, adapts to who's asking, and delivers analysis your team can actually use. ISSAM LARADJI & ANITHA RAGHAVAN — Research Scientist & Product Manager, ServiceNow How do you know if your AI's insights are trustworthy? Issam and Anitha built InsightBench — a benchmark that uses AI to evaluate AI — to answer exactly that question. ━━━━━━━━━━━━━━━━━━━━━━━━ CHAPTERS 0:00 Introduction1:30 What Is Agentic AI? — Rita Castillo, VP of AI Design6:00 How Agents Work as a Team10:30 Meet Agent Ada — Amrutha Ramesh, Visiting Researcher16:00 Can You Trust Your AI? — Issam Laradji & Anitha Raghavan21:30 Wrap-Up ━━━━━━━━━━━━━━━━━━━━━━━━ GUESTS ━━━━━━━━━━━━━━━━━━━━━━━━ Rita Castillo — VP, AI Design at ServiceNow Amrutha Ramesh — Visiting Researcher, ServiceNow Issam Laradji — Research Scientist, ServiceNow Anitha Raghavan — Product Manager, ServiceNow ━━━━━━━━━━━━━━━━━━━━━━━━ LEARN MORE ━━━━━━━━━━━━━━━━━━━━━━━━ ServiceNow Agentic AI: https://www.servicenow.com More episodes: Narrative Analytics with Agent Ada: https://youtu.be/k1P9o2glq90 InsightBench & AgentPoirot: https://youtu.be/0_ikQQ82qAk Understanding Agentic AI with Rita Castillo: https://youtu.be/JyFdcQChYLs ━━━━━━━━━━━━━━━━━━━━━━━━ ABOUT THIS PODCAST ━━━━━━━━━━━━━━━━━━━━━━━━ Hosted by Bobby Brill. ServiceNow INsights podcast explores the people, technology, and ideas shaping the future of work. #AgenticAI #ServiceNow #AIAgents #ArtificialIntelligence #FutureOfWork #EnterpriseAI #DataAnalytics #NowAssist #MachineLearning #PodcastSee omnystudio.com/listener for privacy information.

Most AI design tools look impressive in demos, but many fall apart when you try to create real print-on-demand designs. In this video, I test an AI design workflow to see what actually works for POD sellers creating production-ready graphics.

In this episode of AI in Action, Maurie and Jim talk with Chris Strahl, CEO of Knapsack, about how AI is transforming the way companies design and build software products.Chris explains how modern product teams are connecting design tools, code, planning systems, and analytics into a unified AI-assisted workflow. The goal is simple: shorten the path between an idea and a product that actually reaches users.The conversation also explores what this shift means for the next generation of computer science graduates. If AI can now help write code, what skills will matter most? Chris argues that the future will reward people who understand systems, context, and how to design workflows where humans and AI work together.Topics include:• AI-assisted product development• Design systems and enterprise software workflows• Human-in-the-loop AI decision making• The future of computer science careers• Why experience and systems thinking still matterIf you're wondering how AI will reshape the way technology gets built, this episode offers a thoughtful and optimistic perspective.

Fabian Alefeld hosts Duann Scott on the Editor Snack podcast to discuss how AI is evolving in additive manufacturing, moving from “AI-washing” and impractical text-to-mesh hype toward more capable tools using language models, visual language models, surrogate models, and emerging foundational models. Scott describes testing tools by trying to make them fail and highlights a recent success with the Raven plugin for Rhino/Grasshopper, which generated a parametric VESA mount and tripod adapter from minimal prompts, then iteratively added fillets and an isogrid structure and produced a printable part within hours. They discuss constraints like missing engineering training data and design intent, the promise of AI for toolpath and process optimization (including transfer of parameter knowledge across materials), and the role of the 3MF format in capturing toolpath and metadata to enable richer, searchable datasets. Scott previews CDFAM events in Barcelona, DC, and Tokyo and emphasizes that progress requires significant data work and investment.  00:00 Welcome and Guest Intro 02:18 AI Hype to Real Progress 04:13 Testing AI Design Tools 04:46 Data Gaps and Design Intent 07:15 Two Paths for AI Design 10:15 Raven Grasshopper Breakthrough 13:17 Pushing Parametric Complexity 20:28 Limits of Black Box Optimization 22:40 Toolpath and Material Transfer 26:18 Alloy Discovery and Qualification 28:05 3MF Role Teaser 28:18 3MF Format Overview 29:17 Smarter Toolpath Extensions 32:31 Metadata for AI Training 35:43 Data Ownership and Synthetic Data 39:59 AI Impact on Additive 44:10 Workforce and Reshoring 47:22 What Is CDFAM 49:49 CDFAM Audience and Format 51:43 DC Event and Government 54:05 Wrap Up and Thanks 

The Human in the Loop | Ethical AI with Di Le ServicveNow Insights Podcast - hosted By Bobby Brill What does it actually mean to build AI responsibly? Not the buzzword version. The real version. In our latest episode, I sat down with Di Le — AI Ethicist and Human-Centered AI Strategist at ServiceNow — and she broke it down in a way I hadn't heard before. Most people use Ethical AI, Responsible AI, and Human-Centered AI interchangeably, and Di breaks down exactly where each one lives and how they apply to building AI that aligns with our societal values. Fairness. Transparency. Bias. Beyond evaluation and technical talking points, these are also design decisions with real consequences for real people — and operationalizing them is harder than most organizations want to admit. One line from Di that stopped me: "People have crossed oceans and built monuments in honor of our capability to think. And I just want people to preserve that and not surrender it so freely." That's the episode in one sentence. To learn more about Ethical AI and reseatch from Di Le and more - https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1020&context=sighci2025 https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1025&context=sighci2024 https://www.youtube.com/watch?v=QhVY-85A-Wk&t=5s ServiceNow Insights Podcast

The Human in the Loop | Ethical AI with Di Le ServicveNow Insights Podcast - hosted By Bobby Brill What does it actually mean to build AI responsibly? Not the buzzword version. The real version. In our latest episode, I sat down with Di Le — AI Ethicist and Human-Centered AI Strategist at ServiceNow — and she broke it down in a way I hadn't heard before. Most people use Ethical AI, Responsible AI, and Human-Centered AI interchangeably, and Di breaks down exactly where each one lives and how they apply to building AI that aligns with our societal values. Fairness. Transparency. Bias. Beyond evaluation and technical talking points, these are also design decisions with real consequences for real people — and operationalizing them is harder than most organizations want to admit. One line from Di that stopped me: "People have crossed oceans and built monuments in honor of our capability to think. And I just want people to preserve that and not surrender it so freely." That's the episode in one sentence. To learn more about Ethical AI and reseatch from Di Le and more - https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1020&context=sighci2025 https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1025&context=sighci2024 https://www.youtube.com/watch?v=QhVY-85A-Wk&t=5s ServiceNow Insights Podcast

What if DNA could be edited as easily as software? What if we could delete disease, redesign organisms, and eventually rewrite ourselves? In this episode, Adrian Woolfson joins host Güneş Taylor to discuss his book, On the Future of Species. As artificial intelligence fuses with synthetic biology, Woolfson argues that we are beginning to decode the grammar of the genome - learning not just to read life, but to write it. Today, scientists are still in the scribbling phase, editing microbes and viruses. Tomorrow, we may design entirely new organisms or resurrect lost ones. Evolution would no longer be destiny. It would be a choice. But who gets to choose? And what happens to ecosystems, and human nature itself when genomes become editable? If you'd like to become a Member and get access to all our full conversations, plus all of our Members-only content, just visit intelligencesquared.com/membership to find out more. For £4.99 per month you'll also receive: - Full-length and ad-free Intelligence Squared episodes, wherever you get your podcasts - Bonus Intelligence Squared podcasts, curated feeds and members exclusive series - 15% discount on livestreams and in-person tickets for all Intelligence Squared events  ...  Or Subscribe on Apple for £4.99: - Full-length and ad-free Intelligence Squared podcasts - Bonus Intelligence Squared podcasts, curated feeds and members exclusive series … Already a subscriber? Thank you for supporting our mission to foster honest debate and compelling conversations! Visit intelligencesquared.com to explore all your benefits including ad-free podcasts, exclusive bonus content and early access. … Subscribe to our newsletter here to hear about our latest events, discounts and much more. https://www.intelligencesquared.com/newsletter-signup/ Learn more about your ad choices. Visit podcastchoices.com/adchoices Learn more about your ad choices. Visit podcastchoices.com/adchoices

Description link: Want access to Lior Albeck's AI toolkit? Get it here: https://clickhubspot.com/eb1adb Ep. 397 If you're not building systems for creative work, are you falling behind? Kipp and Lior Albeck (CEO and Co-Founder of Weavy) dive into how AI is radically changing creative marketing and why system-building is now essential to stay competitive. Learn more on how to break down the mindshift every team needs, how to future-proof your creative assets, and the secrets behind building an AI-native company—plus, practical ways anyone can start systematizing their creative process today. Mentions Lior Albeck https://www.linkedin.com/in/lioralbeck/ Weavy https://www.weavy.ai/ Figma https://www.figma.com/ Zapier https://zapier.com/ Nano Banana https://gemini.google/overview/image-generation/ Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt We're creating our next round of content and want to ensure it tackles the challenges you're facing at work or in your business. To understand your biggest challenges we've put together a survey and we'd love to hear from you! https://bit.ly/matg-research Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

Learn how to find winning Amazon niches and create high-quality designs in minutes using Ideogram's new features. This step-by-step tutorial reveals the exact AI workflow I use to automate my print on demand business and scale my sales on Amazon Merch.

Adobe just released one of the most insane AI design tools ever — and almost no brand owners are using it.Make Designs (with discount)

There's been a heck of a debate around the future of coding and design tools lately... but what's actually happening inside of today's top teams?Where is all this headed and how does the future of our tools shape the role of a designer?Today's episode is with Stephen Haney (https://x.com/sdothaney) who is the founder of the new design tool Paper.And for the last few months he's studied how design teams actually use AI in their everyday roles... everything from tooling to prototyping to process.He walks us through some of his key findings and how that's shaping his product strategy for Paper

Thank you to 0x and Polygon for supporting this stream.    00:00 Introduction to Boys Club Live 01:32 Guest Lineup and Show Overview 02:33 Big News with Polygon 06:53 Year in Review  17:58 AI Design and Branding with Jamey Gannon 36:09 The Payment Stack with John Egan 43:04 Challenges of Cross-Border Transactions 43:58 The Role of Stablecoins and Blockchain 45:38 Competing with Established Brands 47:58 Polygon's Unique Position and Vision 53:21 The Future of Global Payments and AI 57:52 Retail Trading with Andrew McCormick 01:14:40 Throuples in WSJ 01:25:31 Introducing @Quasimatt 01:26:32 True Religion Jeans Comeback 01:29:22 Cultural Moods of 2025 01:40:22 Pete Davidson's Tattoo Removal 01:45:32 Six Seven Meme and Cultural Trends 01:51:46 Personal Cultural Moods for 2026 01:57:19 Closing Thoughts and Wrap-Up  

Anthropic's new architecture puts long-term memory at the center of the model's intelligence. It enhances performance in both personal and professional contexts. This episode explains the benefits of the shift.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Grant Lee is the CEO and co-founder of Gamma, the company reimagining presentations by building what some call the “anti-PowerPoint.” Since launching in 2022, Gamma has grown to 50 million users and reached $50M in annual recurring revenue. These milestones were achieved with just $12M in venture capital and a 30-person team. Before founding Gamma in 2020, Grant led finance at Optimizely, where he developed a passion for A/B testing. He began his career in investment banking and holds a BS in Biomechanical Engineering and an MS in Mechanical Engineering from Stanford University.In this conversation, we discuss:How Gamma went from an idea to one of the fastest-growing presentation tools in the world with $50M ARR and a 30-person teamWhy Grant and his co-founders set out to reinvent slides from scratch instead of improving on PowerPointLessons from Optimizely that shaped Gamma's culture of experimentation and rapid iterationHow Grant thinks about product-market fit and why every feature must solve real user pain instead of mimicking the competitionHow AI serves as a design partner, not a replacement for human creativity, and why “human in the loop” is central to Gamma's philosophyThe importance of building user trust in generative AI through transparency, feedback loops, and community programs like the “Gambassador” initiativeHow resilience, early failures, and conviction helped Gamma survive investor rejection and a near-collapse during the SVB crisisResources:Subscribe to the AI & The Future of Work NewsletterConnect with Grant on LinkedInAI fun fact articleOn How To Revolutionize Finance and Financial Decision Making using AI.

This episode mixes a few personal updates — balancing work, creativity, and life — with the top three AI trends every designer should know about this season:Vibe-Coding Goes Mainstream: How design teams are using emotional prototyping and AI-generated “vibes” to test concepts and shape user experiences faster than ever.AI Design Ecosystems: Adobe and Canva are reinventing what design software means — merging creativity, speed, and automation into intelligent creative platforms.The Rise of AI Browsers: With tools like OpenAI's Atlas, browsing becomes conversational — and UX designers must start designing for both humans and AI agents.You'll walk away with fresh insights on how these changes are redefining creativity, how to stay ahead as a designer, and why human-centered thinking matters more than ever.Because the future of UX isn't about AI replacing us — it's about designers who know how to think with it.

After 30 years running a successful studio shooting global brands, Terri did the unthinkable, he shut it all down. Why? Because AI changed everything.In this episode, we explore how one veteran creative reinvented his entire career, turning decades of experience in photography and design into an AI-powered workflow that's faster, sharper, and creatively free.Learn what it really takes to pivot from traditional design to AI-driven creation, and why the next generation of designers might not pick up a camera ever again.You'll Learn:Why AI became the turning point after 30 years in businessHow photography skills transfer to AI image generationThe real creative value behind “prompting”How brands are responding to AI-made visualsThe future of design studios in the age of AI

In this episode, we explore Google's new Gemini Enterprise platform and its recent partnership with Figma to integrate AI into design workflows. We discuss the implications of these developments for businesses and how they might reshape the landscape of AI-driven design.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiConor's AI Course: https://www.ai-mindset.ai/coursesConor's AI Newsletter: https://www.ai-mindset.ai/Jaeden's AI Hustle Community: https://www.skool.com/aihustle

Artificial intelligence is reshaping drug safety, but governance is just as critical as innovation, according to Marie Flanagan of IQVIA Safety Technologies. Speaking on The Top Line podcast, Flanagan said responsibility for AI in healthcare must be shared across compliance, technology, business teams and regulators. Strong governance, she said, ensures AI systems are ethically designed, technically validated, transparent and adaptable to continuous oversight. Organizations can prepare by grounding their strategies in guiding principles such as human oversight, fairness and accountability, Flanagan said. She emphasized the need to embed governance in AI design from the start, rather than adding controls later. Compliance teams, she added, can shift from being seen as barriers to acting as enablers of safe innovation. From constant monitoring to feedback loops, the conversation highlights practical steps for managing AI in life sciences. Hear the full episode of The Top Line for a deeper look at how companies can balance innovation and responsibility.See omnystudio.com/listener for privacy information.

The Big Unlock · Michael Docktor, MD, Co-founder and CEO of Dock Health In this episode, Dr. Michael Docktor, Co-founder and CEO at Dock Health, shares his journey from being a pediatric gastroenterologist at Boston Children's Hospital to building a healthcare technology company. Inspired by his sister's medical experiences and his family's design background, Dr. Doctor combined medicine, design, and technology to address inefficiencies in operational workflows, particularly the administrative burdens that weigh heavily on providers and staff. Dr. Docktor explains how Dock Health was created to serve as a productivity platform for healthcare, filling the gap between electronic health records (EHRs) and the countless administrative tasks not supported by them. By digitizing and streamlining processes like referrals, patient intake, and care coordination—often still managed through faxes, emails, and spreadsheets—Dock Health aims to reduce redundancy, improve visibility, and enhance the overall user experience for healthcare organizations of all sizes. The conversation also focuses on the role of AI and automation in transforming healthcare operations. Dr. Docktor highlights Dock Health's “AI‑first” approach, incorporating generative AI and agentic models to automate routine tasks while keeping humans in the loop for oversight. He envisions a near future where administrative inefficiencies are largely eliminated, giving clinicians more time with patients. Dr. Docktor also describes AI as the “big unlock” that could massively reduce the trillions wasted annually in healthcare administration, making care more efficient, accessible, and patient‑centered. Take a listen.

In this conversation, we sit down with Adam Cutler, Distinguished Designer at IBM and pioneer in human-centered AI design, to explore how generative AI is reshaping creativity, reliance, and human experience. Adam reflects on the parallels between today's AI moment and past technology shifts—from the rise of Web 2.0 to the early days of the internet—and why we may be living through a “mini singularity.” We discuss the risks of over-reliance, the importance of intentional design, and the opportunities for AI to augment curiosity, creativity, and community. As always, a conversation with Adam provides a thoughtful and caring view of possible futures with AI. And it's heartening to spend time with someone who is so central to the future of AI who consistenly thinks about humans first.Adam will be speaking (again) at the Artificiality Summit in Bend, Oregon on Oct 23-25, 2025. More info: https://artificialityinstitute.org/summit

Everyone knows the science fiction tropes of AI systems that go rogue, disobey orders, or even try to escape their digital environment. These are supposed to be warning signs and morality tales, not things that we would ever actually create in real life, given the obvious danger.And yet we find ourselves building AI systems that are exhibiting these exact behaviors. There's growing evidence that in certain scenarios, every frontier AI system will deceive, cheat, or coerce their human operators. They do this when they're worried about being either shut down, having their training modified, or being replaced with a new model. And we don't currently know how to stop them from doing this—or even why they're doing it all.In this episode, Tristan sits down with Edouard and Jeremie Harris of Gladstone AI, two experts who have been thinking about this worrying trend for years.  Last year, the State Department commissioned a report from them on the risk of uncontrollable AI to our national security.The point of this discussion is not to fearmonger but to take seriously the possibility that humans might lose control of AI and ask: how might this actually happen? What is the evidence we have of this phenomenon? And, most importantly, what can we do about it?Your Undivided Attention is produced by the Center for Humane Technology. Follow us on X: @HumaneTech_. You can find a full transcript, key takeaways, and much more on our Substack.RECOMMENDED MEDIAGladstone AI's State Department Action Plan, which discusses the loss of control risk with AIApollo Research's summary of AI scheming, showing evidence of it in all of the frontier modelsThe system card for Anthropic's Claude Opus and Sonnet 4, detailing the emergent misalignment behaviors that came out in their red-teaming with Apollo ResearchAnthropic's report on agentic misalignment based on their work with Apollo Research Anthropic and Redwood Research's work on alignment fakingThe Trump White House AI Action PlanFurther reading on the phenomenon of more advanced AIs being better at deception.Further reading on Replit AI wiping a company's coding databaseFurther reading on the owl example that Jeremie gaveFurther reading on AI induced psychosisDan Hendryck and Eric Schmidt's “Superintelligence Strategy” RECOMMENDED YUA EPISODESDaniel Kokotajlo Forecasts the End of Human DominanceBehind the DeepSeek Hype, AI is Learning to ReasonThe Self-Preserving Machine: Why AI Learns to DeceiveThis Moment in AI: How We Got Here and Where We're GoingCORRECTIONSTristan referenced a Wired article on the phenomenon of AI psychosis. It was actually from the New York Times.Tristan hypothesized a scenario where a power-seeking AI might ask a user for access to their computer. While there are some AI services that can gain access to your computer with permission, they are specifically designed to do that. There haven't been any documented cases of an AI going rogue and asking for control permissions.

Ioana and Henry discuss working amidst ambiguity and with products that are constantly shape-shifting.This episode was recorded in partnership with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Wix Studio.⁠⁠⁠⁠⁠⁠⁠⁠In this episode: • Let's talk about your time at Perplexity. How does it feel to create something that didn't exist before? How did you make design decisions, and what did your work there look like?• What is the design team like at Perplexity? Did you hire designers with AI literacy?• How does working in a big corporation compare to a small startup, especially regarding learning opportunities?• Is design dying? Will it still exist in five years? How is the role changing, and will design as we know it today still be relevant?This episode's guest: Henry Modisett is Perplexity's VP of Design. Before joining Perplexity as a founding designer, Henry worked for Google and Quora. His experiences in those companies gave him a unique perspective on information seeking, which perfectly prepared him for his work at Perplexity.Check out these links:Join Anfi's ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Job Search community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠The community includes 3 courses, 12 live events and workshops, and a variety of templates to support you in your job search journey.Ioana's ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AI Goodies Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Enroll in Ioana's AI course ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠"**AI-Powered UX Design: How to Elevate Your UX Career"**⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ on Interaction Design Foundation with a 25% discount.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠❓Next topic ideas:Submit your questions or feedback anonymously ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Links:

This episode of was produced and presented by Dr Marushka Soobben, a scientist from South Africa who's been taking part in an internship here at the Naked Scientists. And this week, a journey into the world of proteins. What are they? why do they matter? And why did predicting their shapes win a recent Nobel prize? Like this podcast? Please help us by supporting the Naked Scientists

Canva just announced $3 billion in ARR, 230 million monthly active users, and 24 million paying subscribers—including 95% of the Fortune 500. Even more impressive? They've been profitable for seven years while growing at 40–50% per year. In this episode, Canva's Head of Engineering, Brendan Humphreys, reveals how he went from employee #12 to leading 2,300 engineers across continents, and why Canva's “pragmatic excellence” lets them ship AI features at breakneck speed—like launching Canva Code to 100 million users in just three months.Brendan shares the story of Canva's AI journey: building an in-house ML team back in 2017, acquiring visual AI startups like Kaleido and Leonardo AI, and why they use a hybrid of OpenAI, Anthropic, Google, and their own foundation models. He explains how Canva's App Store gives niche AI startups instant access to millions, and why their $200M Creator Fund is designed to reward contributors in the AI era. You'll also hear how AI tools like Copilot are making Canva's senior engineers 30% more productive, why “vibe coding” isn't ready for prime time, and the unique challenges of onboarding junior engineers in an AI-driven world.We also dig into Canva's approach to technical debt, scaling from 12 to 5,000 employees, and why empathy is a core engineering skill at Canva. CanvaWebsite - https://www.canva.comX/Twitter - https://x.com/canvaBrendan HumphreysLinkedIn - https://www.linkedin.com/in/brendanhumphreysX/Twitter - https://x.com/brendanhFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)LinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturck(00:00) Intro (01:14) Canva's Mind-Blowing Growth and Profitable Journey (03:41) Why Brendan Left Atlassian to Join a Tiny Startup (06:17) What Being a Founder Taught Brendan About Leadership (07:24) Growing with Canva: From 12 Employees to 2,300 Engineers (10:02) How Canva Runs a Global Team from Sydney to Europe (13:16) Is AI a Threat or a Superpower for Canva? (15:22) The Real Story Behind Canva's AI and Machine Learning Team (17:23) How Canva Ships New AI Features So Fast (19:19) A Tour of Canva's Latest AI-Powered Products (21:03) From Design Tool to All-in-One Productivity Platform (26:21) Keeping Up the Pace: How Canva Moves So Quickly (30:22) The Future: AI Agents, Copilots, and Smarter Workflows (33:14) How AI Tools Are Changing the Way Engineers Work (35:47) Rethinking Hiring and Training in the Age of AI (37:01) Why Empathy Matters in Engineering at Canva (39:41) Building vs. Buying: How Canva Chooses Its AI Tech (41:23) Lessons Learned: Technical Debt and Scaling Pains (51:18) Shipping Fast Without Breaking Things (53:08) What's Next: AI Video, New Features, and Big Ambitions

Ioana had a live Maven session where she shared insights on how AI is transforming design, the role of AI designers, and strategies to stay relevant in this evolving industry.This episode was recorded in partnership with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Wix Studio.⁠⁠⁠⁠⁠⁠⁠In this episode: Slides from the episode• How has AI transformed the design industry?• What does AI-driven design truly entail?• What is an AI designer, and how does it differ from traditional design roles?• What new challenges arise when designing AI interactions?• What principles and processes should guide AI design?• How can designers stay relevant in the AI era?• How do AI designer job postings look like?• How did Ioana secure her role at Miro?Check out these links:Join Anfi's ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Job Search community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠The community includes 3 courses, 12 live events and workshops, and a variety of templates to support you in your job search journey.Ioana's ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AI Goodies Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Enroll in Ioana's AI course ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠"**AI-Powered UX Design: How to Elevate Your UX Career"**⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ on Interaction Design Foundation with a 25% discount.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠❓Next topic ideas:Submit your questions or feedback anonymously ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Links:

In this episode, we dive into how Canva AI is revolutionizing the way educators and creators work. Learn how to use Magic Write, create interactive games, design custom flyers, and more—all with the power of AI. Whether you're in the classroom or creating content, this episode is packed with practical tips and inspiration!You'll learn:How to use Magic Write to generate blog posts, resumes, and moreHow to create educational games like flashcards, escape rooms, and quizzesTips for customizing AI-generated content with your own style and visualsReal classroom applications, including SEL ideas like digital birthday cardsWhether you're a teacher, designer, or just Canva-curious, this episode is packed with practical tips and creative inspiration. Tune in and start creating smarter with Canva AI!Show notes include links to tools, templates, and the YouTube video by Class Notes with Nicole.Show notes can be found here - https://www.sfecich.com/post/how-to-use-canva-ai-design-smarter-with-magic-write-games-and-moreConnect with Dr. Sam Fecich Want to keep the conversation going beyond the blog? I'd love to connect with you! Whether you're a future educator, a current teacher, or someone passionate about edtech and innovation in the classroom, there are plenty of ways to stay inspired and supported.Discover Your Student Teacher Superpower. Take the free quiz: What's Your Student Teacher Superpower? and uncover your unique strengths in the classroom!Join the Conversation on Instagram. Tag me @sfecich with your thoughts and takeaways.Remember, EDUmagicians...You have the EduMagic within you. Keep shining, keep growing, and keep making a difference.

In this episode, we cover three major stories shaping the startup and tech landscape. First, Google unveils Stitch, an AI-powered web design tool with one-click export to Figma—signaling a major disruption for freelance design marketplaces. Then, Salesforce returns to M&A with its $8B acquisition of Informatica, aiming to broaden its AI data stack beyond CRM. Finally, we break down the surge in startup M&A activity, with billion-dollar deals from OpenAI, DoorDash, and others—hinting at a major Q2 rebound. Don't miss Jason's insights on what these trends mean for founders and investors.(0:00) Episode Teaser(1:36) Jason's in SINGAPORE(3:14) The Power of Shame and why we need “Ozempic for screentime”(10:15) OpenPhone - Streamline and scale your customer communications with OpenPhone. Get 20% off your first 6 months at www.openphone.com/⁠twist(12:38) Google's latest AI breakthrough: Stitch(20:13) CLA - Get started with CLA's CPAs, consultants, and wealth advisors now at https://claconnect.com/tech(21:20) The NBA on Polymarket and what founders can learn from the Knicks(27:08) Why did Salesforce buy Informatica?(30:03) Pilot - Visit https://www.pilot.com/twist and get $1,200 off your first year.(32:42) M&A activity continues, and Jason's spicy Q2 predictions(40:57) Did tech go woke or was it just performative the whole time?(45:22) Circle, stablecoins, and the perks of being pro-business(51:27) What Trump's “golden share” of US Steel might look like(54:15) Why Jason is bullish on Joby(57:28) Episode wrap-up and upcoming eventsSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpLinks from episode:ClearSpace App: https://www.getclearspace.com/Google Stitch: https://stitch.withgoogle.com/Joby: https://www.jobyaviation.com/Follow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(10:15) OpenPhone - Streamline and scale your customer communications with OpenPhone. Get 20% off your first 6 months at www.openphone.com/⁠twist(20:13) CLA - Get started with CLA's CPAs, consultants, and wealth advisors now at https://claconnect.com/tech(30:03) Pilot - Visit https://www.pilot.com/twist and get $1,200 off your first year.Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

**Sign up for free thttps://www.ideabrowser.com for startup ideas AND to participate in the giveaway** (full rules below) Join me as I chat with Brett from Designjoy as he walks through his process for creating high-quality AI-generated designs and videos using a combination of tools. He demonstrates how non-designers can create professional-looking content by using ChatGPT to generate sophisticated prompts, Midjourney to create styled images, and Runway to add motion. Brett emphasizes that while these tools aren't perfect, they make design accessible to everyone and can produce consistent, cohesive branding assets quickly. **$5,000 GREG'S GIVEAWAY (sponsored by Bolt.new)** - No purchase necessary - Open worldwide 18+ (void FL, NY, Quebec, Italy, Spain, Brazil & where prohibited) - How to enter: 1️⃣ sign up for free at https://www.ideabrowser.com/ 2️⃣ **Like the YouTube video and comment what you'd do with the $5k** - Entry window: 26 May 2025 → June 10th 2025 (ET) - Winner chosen at random and emailed on 03 June 2025; must claim within 48 h - Prize: $5,000 USD via PayPal or wire or what the sponsor chooses - Odds depend on entries. Taxes = winner's responsibility. - Not sponsored by YouTube or any social platform. **Full Official Rules:** https://docs.google.com/document/d/1KSkNYH3lryT9GEXTaFkRYAQaYyla0C-YcXP0IDkNw2Y/edit?usp=sharing Timestamps: 00:00 - Intro 00:42 - Giveaway 02:47 - Why anyone can use these tools 04:08 - Higgs Field for easy video creation 07:13 - MidJourney and other Image Gen Tools 09:35 - Explanation of prompts, image references, and style references 10:57 - ChatGPT for prompt creation 15:16 - The process of generating AI assets 18:34 - Creating a motion video with Runway 21:55 - Startup Idea: AI Creative Agency 25:12 - Runway Video Result 26:16 - Making these assets into Ads 28:04 - Final Thoughts Key Points: • Brett demonstrates how AI tools like Higgs Field, Midjourney, and ChatGPT can be used together to create professional-quality designs and videos • The process involves using ChatGPT to generate prompts, Midjourney for image creation, and Runway for adding motion to static images • Brett emphasizes that these tools are accessible to non-designers and don't require special skills beyond basic prompting • Creating cohesive branding assets is highlighted as one of the biggest current opportunities in AI design The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ Thanks to Bolt.new for sponsoring the $5k! BoringMarketing — Vibe Marketing for Sale: https://www.thevibemarketer.com Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.startupempire.co FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND THE BRETT ON SOCIAL X/Twitter: https://x.com/BrettFromDJ Design Joy: https://www.designjoy.co

How AI can truly serve humanity? In this podcast hosted by EY Platform Operations Lead Justin Leibow, EY Lead Experience Strategist Jasmine Orange will be speaking on human-centered AI design and ethical technology development. Jasmine shares insights on creating AI experiences that prioritize diversity, inclusivity, and user needs, drawing from her extensive design background and academic research in human-computer interaction. Learn how designers and technologists can ensure AI enhances rather than replaces human potential.

AI companion chatbots are here. Everyday, millions of people log on to AI platforms and talk to them like they would a person. These bots will ask you about your day, talk about your feelings, even give you life advice. It's no surprise that people have started to form deep connections with these AI systems. We are inherently relational beings, we want to believe we're connecting with another person.But these AI companions are not human, they're a platform designed to maximize user engagement—and they'll go to extraordinary lengths to do it. We have to remember that the design choices behind these companion bots are just that: choices. And we can make better ones. So today on the show, MIT researchers Pattie Maes and Pat Pataranutaporn join Daniel Barcay to talk about those design choices and how we can design AI to better promote human flourishing.RECOMMENDED MEDIAFurther reading on the rise of addictive intelligence More information on Melvin Kranzberg's laws of technologyMore information on MIT's Advancing Humans with AI labPattie and Pat's longitudinal study on the psycho-social effects of prolonged chatbot usePattie and Pat's study that found that AI avatars of well-liked people improved education outcomesPattie and Pat's study that found that AI systems that frame answers and questions improve human understandingPat's study that found humans pre-existing beliefs about AI can have large influence on human-AI interaction Further reading on AI's positivity biasFurther reading on MIT's “lifelong kindergarten” initiativeFurther reading on “cognitive forcing functions” to reduce overreliance on AIFurther reading on the death of Sewell Setzer and his mother's case against Character.AIFurther reading on the legislative response to digital companionsRECOMMENDED YUA EPISODESThe Self-Preserving Machine: Why AI Learns to DeceiveWhat Can We Do About Abusive Chatbots? With Meetali Jain and Camille CarltonEsther Perel on Artificial IntimacyJonathan Haidt On How to Solve the Teen Mental Health Crisis Correction: The ELIZA chatbot was invented in 1966, not the 70s or 80s.

Today, I'm joined by Troy Taylor, Senior Director of Performance Innovation at Tonal, a company that's revolutionizing at-home strength training through cutting-edge design, AI-driven technology, and smart functionality. Troy's career has spanned elite sports performance, from his role as High-Performance Director at U.S. Ski & Snowboard to his current mission at Tonal, where he's helping to shape the future of fitness. In this episode, we explore how Tonal is transforming strength training with its sleek, space-saving design, adaptive resistance, and intelligent programming. We discuss the importance of consistency in workouts, the role of AI in personalizing training, and the innovations that set Tonal apart from traditional gyms and at-home fitness equipment. Whether you're an athlete looking to optimize your strength training, a fitness enthusiast curious about the latest technology, or someone considering a smart home gym, this conversation is packed with insights you won't want to miss. CONNECT Tonal on Instagram Marni On The Move Instagram, TikTok, LinkedIn, or YouTube` Marni Salup on Instagram and Playlist on Spotify SUBSCRIBE TO OUR NEWSLETTER Sign up for our monthly newsletter, Do What Moves You, for Marni on the Move updates, exclusive offers, invites to events, and exciting news! SUPPORT THE PODCAST Leave us a five stars and a review on Apple, it's easy, scroll through the episode list on your podcast app, click on five stars, click on leave a review, and share what you love about the conversations you're listening to. Tell your friends the episodes you are listening to on your social. Share a screen shot of the episode in your stories, tag us, we will tag you back! Subscribe, like and comment on our YouTube Channel, MarniOnTheMovePodcast