Podcasts about Adobe

"There is no single way to deploy OpenTelemetry at scale—and that's exactly the challenge."As organizations adopt OTel across teams and environments, they face tough questions around standardization, configuration, and operating resilient observability pipelines.To address these challenges, the OpenTelemetry community has introduced Blueprints and Reference Implementations—practical guidance on topics like data standards, consistent agent and collector configuration, pipeline resilience, and intelligent sampling.In this episode, we're joined by Dan Gomez Blanco, maintainer of the OpenTelemetry End-User SIG, to explore real-world reference architectures from organizations like Skyscanner, Adobe, and Mastodon.Tune in to learn how the community is turning OTel complexity into shared best practices—and how you can contribute your own blueprint

Adobe Express and Canva are packed with AI tools that save teachers hours — Amy Storer shares the features her teachers love most. Innovative learning specialist Amy Storer (Montgomery ISD, TX) walks through the AI-powered tools inside Adobe Express and Canva that teachers and students are getting most excited about — from studio-style student podcasts to interactive games you can build without writing a line of code. She also shares a favorite bonus tool for creating step-by-step how-to guides, and closes with a word of encouragement for any teacher feeling buried by "all the things." In this episode, you'll learn: How Adobe Express's Create a Podcast and one-click Enhance make student podcasting simple Why Animate a Character is an easy win for your youngest learners and GT projects How Canva Code lets you build interactive, self-grading activities with no coding A hidden Canva presentation timer and how Scribe turns clicks into a how-to guide Amy's "pick one tool" philosophy for teachers who feel overwhelmed Full show notes and links: https://www.coolcatteacher.com/e948 If this one gave you an idea you can use, share it with a teacher friend who could use a time-saver.

On this episode of Christopher Lochhead: Follow Your Different, Bruce Cleveland, legendary entrepreneur and venture capitalist, joins us to discuss his powerful new book, “Market Engineering: Because Markets Don’t Build Themselves.” The conversation brought together two former competitors who have since become allies in a shared mission: helping founders and executives understand that markets, like products, can be deliberately designed and engineered. Cleveland’s insights are drawn from decades of operating experience at companies like Siebel and Apple, as well as his work as a venture capitalist guiding early-stage startups. The core argument is simple but often ignored. Over 90% of startups fail not because their products are bad, but because they never take responsibility for shaping the market around those products. Cleveland and Lochhead agree that the companies who teach the market how to think about a problem, and then how to solve it, are the ones who become category kings and queens. You're listening to Christopher Lochhead: Follow Your Different. We are the real dialogue podcast for people with a different mind. So get your mind in a different place, and hey ho, let's go.   Bruce Cleveland on What Market Engineering Actually Means Bruce Cleveland defines market engineering as a five-part discipline that includes category design, positioning, messaging, storytelling, and thought leadership. When these elements are combined intentionally and consistently, they create gravitational pull. Customers seek you out, attend your events, and associate your brand with the future they want to be part of. Cleveland draws a sharp distinction between marketing and market engineering. He uses the analogy of a short-order cook at Denny’s versus a chef at a Michelin-star restaurant. Both have the same basic ingredients, but the outcomes are vastly different. The difference is knowing how to combine those ingredients with precision, purpose, and craft.   The Book as an Instruction Manual, Not Just Inspiration One of the most refreshing aspects of Bruce Cleveland’s approach is his insistence on practicality. He openly criticizes business books that fire readers up but leave them with no clear path forward. “Market Engineering” was written as a prescriptive guide, walking readers through specific frameworks like the Market Blueprint, Messaging Matrix, and Market Charter. To take this even further, Cleveland built an AI-powered platform called the Market Engineering Virtual Studio, trained on his own methodology using a neural symbolic recursion model named Finn. The platform allows users to actually build the documents and artifacts described in the book, turning static ideas into dynamic action. Cleveland and Lochhead both agree this model, combining a book, an AI companion, and a community, represents the future of business education.   Why Former Competitors Are Now Building the Same Category Together Perhaps the most telling moment in the conversation is when Lochhead reflects on the fact that he and Bruce Cleveland spent years as direct competitors, yet now champion nearly identical ideas. Rather than seeing this as a conflict, both men view it as validation. A category only exists when multiple credible voices contribute to defining it. Their combined efforts have helped make category design and market engineering part of the mainstream business conversation. Cleveland also speaks candidly about why he works primarily with pre-seed and early-stage companies that have limited capital. He prices his tools and services accessibly on purpose, takes small equity positions, and focuses on creating real economic impact. His philosophy is that helping startups succeed contributes more to society than any check he could write to a traditional charitable cause. For Bruce Cleveland, market engineering is not just a framework. It is a form of giving back. To hear more from Bruce Cleveland on the benefits of Market Engineering, download and listen to this episode.   Bio Bruce Cleveland's career in Tech spans more than 40 years as a venture investor and operating executive. He was a first investor and a board member of Marketo, which held an IPO in 2013 and was acquired in 2018 by Adobe for $4.75B. He was an early-stage investor in other notable companies such as C3.ai, Doximity, Vlocity, and Workday. Bruce also held senior executive roles in engineering, product management and product marketing at Apple, AT&T, C3.ai, Oracle and Siebel Systems. His book, Traversing the Traction Gap, is a prescriptive guide for startups and new product initiatives within larger companies helping teams to use ‘market engineering' techniques to successfully transition from Ideation to Scale. He attended the US Military Academy, West Point, New York, and received a BS in business administration from CSU, Sacramento. He lives in the San Francisco Bay Area.   Connect with Bruce Cleveland! LinkedIn | X (Formerly Twitter) | Website Check out his book here: Market Engineering: Because Markets Don’t Build Themselves   We hope you enjoyed this episode of Christopher Lochhead: Follow Your Different™! Christopher loves hearing from his listeners. Feel free to email him, connect on Facebook, X (formerly Twitter), Instagram, and subscribe on Apple Podcast / Spotify!

This week on the podcast, Zach Kazan and Kat Shoulders are joined by Georgia Benjamin, who by day works in design at Adobe, but by night (and probably all around the clock, frankly) has become quite a force in the watch world. By the numbers, she is among the most followed female watch personalities on social media, and has become a fixture in the broader enthusiast and collecting community. Georgia talks to us about what drew her to watches, how her career at Adobe informs her interest in watches, the growing influence of women in the watch enthusiast space, and why degendering watches is so important in the watch space.  To stay on top of all new episodes, you can subscribe to The Worn & Wound Podcast on all major platforms including Apple Podcasts, Stitcher, Spotify, and more. You can also find our RSS feed here. If you like what you hear, then don't forget to leave us a review. If there's a question you want us to answer you can hit us up at info@wornandwound.com, and we'll put your question in the queue. Show Notes  Georgia on Instagram Georgia Benjamin and Courtney Bachrach on the Collectability podcast Georgia's article on WatchPro Introducing the Anoma A1 Prehistoric Toledano & Chan Introduces the b/1.3r, with a Solid Gold “Ripple” Dial Yves Saint Laurent exhibit at the International Center of Photography

Joy Osinloye is the Vice President of Customer Success, North America at CreatorIQ, where she leads Customer Success across enterprise, mid-market, and agency segments. She oversees retention, expansion, and long-term value creation and realization for a diverse portfolio of high-growth global brands. Partnering closely with revenue, marketing, and executive stakeholders, Joy equips the CreatorIQ customers with the necessary tools and insights to ensure their creator programs drive true measurable business impact.Before joining CreatorIQ, Joy led influencer and integrated marketing initiatives for global brands including Airbnb, Huggies, L'Oréal, Adobe, and Kellogg's. That brand-side experience now informs her approach to customer success by helping organizations operationalize creator marketing as a scalable, revenue-aligned growth channel rather than a series of one-off campaigns.Joy is particularly focused on building resilient customer relationships, strengthening adoption at scale, and aligning creator investments to durable revenue outcomes. She is also a passionate advocate for people-first leadership and mentors emerging leaders across the marketing and technology ecosystem.

Lara Balazs, CMO of Adobe, joins us to discuss what it takes to lead one of the world's most influential creative brands through a period of enormous change.From Adobe's presence at Cannes to the rapid rise of AI, Lara shares her vision for the company and why she believes technology should be used in service of creativity, rather than simply to drive efficiency. We explore why creativity matters more than ever in the age of AI, the skills Adobe looks for in marketers, and the traits that separate the most successful CMOs.Lara also shares the practical leadership principles she uses to run her team, from creating a company plan on a page and harnessing the power of repetition to prioritising progress over perfection and using the “two-way door” approach to make faster decisions.This episode is brought to you by System1. Download their creator effectiveness report here: https://system1group.com/the-creator-effectiveness-playbookTimestamps00:00 - Start01:23 - The most surprising thing about Lara03:11 - How Adobe have stood out at Cannes05:50 - What makes an influential CMO?06:59 - How to manage a business through change09:54 - Lara's vision for Adobe13:33 - Finding inspiration from a brand's history15:13 - Where AI has been used in service of creativity18:03 - AI to enhance creativity vs increasing efficiency20:42 - Why creativity still matters in the AI age23:41 - What skillsets does Adobe hire for in marketing?25:22 - The traits of the most successful CMOs28:55 - The company plan on a page30:49 - The power of repitition32:05 - Progress over perfection at Adobe33:14 - The two way door approach37:19 - The best advice Lara has ever recieved

Can graphic designers become so obsessed with design that they completely miss what actually makes brands successful?In this special live episode of The Angry Designer Podcast, we sit down with Chris Do (The Futur) at Creative South for one of our most thought-provoking conversations yet.What started as a discussion about logos quickly turned into a passionate debate about branding, creativity, business, Adobe, design education, storytelling, and why so many graphic designers focus on the wrong things.We challenged Chris on everything from whether Adobe owes designers anything... to why "blanding" has taken over... to whether great design actually wins in today's market.And Chris challenged us right back.In this episode, you'll discover:- Why great design doesn't always win.- Why branding is bigger than logos.- The biggest mistake graphic designers still make.- Why clients buy brands—not design.- How storytelling creates value.- Why designers become emotionally attached to companies.- What separates good designers from truly valuable ones.If you're a graphic designer, creative professional, brand strategist, freelancer, agency owner, or design student, this conversation will make you question what you think you know about design.Whether you agreed with Chris Do or not, one thing is certain...you'll never look at branding the same way again.Stay Angry our Friends –––––––––––Join Anger Management for Designers Newsletter at https://tinyurl.com/mr4bb4j3Want to see more?  See uncut episodes on our YouTube channel at youtube.com/theangrydesigner Read our blog posts on our website TheAngryDesigner.comJoin in the conversation on our Instagram Instagram.com/TheAngryDesignerPodcast

Had an AHA or Insight? Share it:Why That Number Isn't What You Should Be Asking?What does the market bear? What does your competition charge? What do you think you can get away with? These are the three questions most founders ask when they set a price, and Ed Lee has spent the last decade watching them lead people straight into underpricing themselves.Ed is the author of The Last Mile of Trust and has worked with over two thousand companies on how they price what they sell. For years he watched founders carry the same insecurity into every pricing conversation, shrinking the number the moment a client hesitated. Then he started to see that insecurity eroding the very thing that made his clients worth paying for.In this conversation, Ed makes the case that what someone pays is directly tied to what they believe they are getting, not to what the comps say. A consultant pricing at $3,000 because that is what the market shows, while delivering $50,000 worth of transformation, does not read as a deal. It reads as a mismatch, and mismatches make buyers walk away, not the quoted price. Ed shares how to find the right number for your business. It's not the number he says, it's how much they trust you.Ed and I have worked together for the last year, and what stands out about him is that he is unapologetic about needing time with his family. His business supports his life, not the other way around, and I watched him live with that friction and resolve it one step at a time. The friction he feels when charging what he is worth is the same friction he faces every time he puts his family first. It's an investment for him. If you are tempted to price something by asking what everyone else charges instead of what you are worth, this episode is worth a listen. You will walk away with a way to find your number, and proof that facing friction instead of running from it is what makes the number hold.Chapters:00:00 Cold open — Pricing builds trust, not just numbers.00:46 Intro — Beate welcomes Edward Lee, author of The Last Mile of Trust.03:32 The friction myth — How “frictionless” can erode your secret sauce.04:52 Price as identity — Your number signals value, impact, and trust.08:39 Adobe case — Subscriptions, AI add‑ons, and when features backfire.12:40 Pricing as a filter — Qualify ideal customers; repel discount‑seekers.14:41 Values and balance — Family, presence, and the workout analogy.23:33 Evolving the offer — How Ed reshaped Hello Advisor's pricing and model.27:14 Book + key takeaway — Where to get it, toolkit bonus, and why price is the last mile of trust.About  Ed Lee Ed Lee is the founder and CEO of HelloAdvisr, a pricing strategy consultancy, and the author of The Last Mile of Trust. He has advised more than 100 high-growth companies on pricing and monetization, with a combined valuation exceeding $1.4 billion. He teaches at UCLA, serves as expert-in-residence at Oxford University's Saïd Business School, and hosts the Margin for Error podcast.Connect with Ed LeeWebsite | LinkedIn | X | Instagram |Instagram _____________________We appreciate you, thank you for listening. Let us know in the comments what resonated in this episode, we want to hear from you. Leave a comment, like, share with one person who needs to hear the message our guest shared. Take our QUIZ and find out what your talent is worth in this market:  What's Your Talent Worth (http://WhatsYourTalentWorth.com)Follow us on Instagram:Check us out on Tik Tok: Work With Us

Don’t let the AI wave crush you. Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX: https://theultimatepartner.com/experience/ Dive into the seismic shifts happening within the AWS Marketplace and discover how AI, self-service product-led growth (PLG), and advanced co-selling strategies are redefining partner success. Matt Yanchyshyn, VP of Marketplace at AWS breaks down the recent announcements from the summit, illustrating how agility and adaptation are crucial to surviving the new agentic future. From lowering professional services fees to the explosion of business applications like ServiceNow, this conversation reveals the hidden mechanics of modern cloud procurement and how you can position your organization to capture massive enterprise opportunities before your competitors do. https://youtu.be/gaWxU1kgCLk Key Takeaways Adapting to the new agentic future requires agility rather than fighting the influx of AI tools. Lowering the listing fee for professional services from 2.5% to 0.5% drastically improves partner economics. Organizations without a self-service or PLG motion on the marketplace are literally leaving money on the table. Millennial buyers increasingly initiate complex enterprise procurements through self-service and AI-driven research. New AI-powered opportunity scoring empowers partners to prove their value internally and to AWS. Marketplace success hinges on optimizing metadata for AI agents, not just traditional SEO. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags: AWS Marketplace, agentic workflow, med pick scoring, phoenix.ai, Cara Cloud, branded storefronts, product-led growth strategy, intrinsic value boost, SaaS evolution, self-service motion, Databricks credit model, Trend Micro companion app, MCP servers, opportunity score tracking, PPA drawdown, concurrent agreements, AAMI structural debt, CXML procurement Transcript: Matt Y Audio Podcast [00:00:00] Matt Y: The ability to adapt with change and kind of roll with punches. ’cause a lot of people are saying like, agents are gonna destroy everything. And, and the opposite has been true. [00:00:08] Vince Menzione: You can feel it happening. The ecosystem is shifting beneath us, the way hyperscalers are partnering, how AI is remaking the channel and what it means to win in 2026. [00:00:19] Vince Menzione: Welcome to the Ultimate Partner Podcast. I’m Vince Menzi, own your host. And each week I sit down with leaders at the intersection of technology, partnerships and outcomes. The voices shaping how ecosystems actually work. We talk about what’s real, what’s changing, and what it takes to lead in this era where the partner channel isn’t just part of the strategy. [00:00:42] Vince Menzione: It is the strategy because being in the room changes everything. [00:00:46] Matt Y: Let’s start. [00:00:50] Vince Menzione: And now on to the really important stuff. So, Matt, I don’t wanna butcher it ’cause I, a couple people have told me how to pronounce your last name and they said use the word magician and you’ll get close to it. But I’m just gonna introduce you as Matt Wy and I’m gonna ask you to pronounce your name on stage, but I want to have you join us. [00:01:08] Vince Menzione: So excited to have Matt wy. After a super busy day and night last night, come over from Brooklyn and join us today. Matt, so great to have you. Thanks. Thank you so much. Thank you so much. Alright, so pronounce your name for us. [00:01:23] Matt Y: Anyone wanna guess? Ian’s? It’s like magician. [00:01:27] Vince Menzione: It’s not that hard, [00:01:28] Matt Y: it’s not that [00:01:28] bad, [00:01:28] Vince Menzione: but I don’t wanna butcher. [00:01:29] Vince Menzione: I wanted to let you do it. Good. [00:01:30] Matt Y: What calls me Matt White. [00:01:31] Vince Menzione: That’s great. [00:01:32] Matt Y: Yeah. [00:01:32] Vince Menzione: So 13 years. [00:01:34] Matt Y: Four coming up on 14 next month. Yeah. [00:01:36] Vince Menzione: Wow. Congratulations. Yeah. So you’ve been there, you’ve been there since the early days. And we, we had a conversation. I had some Microsoft, former Microsoft colleagues. Uh, Theresa Carlson, for those of you who knew the public sector business. [00:01:48] Vince Menzione: Yeah. Who started, I mean, Andy came out, it was so funny because I was there and she was hosting Andy for a dinner and with all the CIOs of the federal government. [00:01:57] Matt Y: Yeah. [00:01:58] Vince Menzione: And she was still at Microsoft and it was actually kind of an interesting time. And she came over and did a lot of great things for a number of years. [00:02:04] Matt Y: Yeah. She [00:02:05] Vince Menzione: and a lot of great [00:02:05] Matt Y: business. [00:02:06] Vince Menzione: Yeah. She really like, it went from employee number one to 7,000. [00:02:09] Matt Y: Yeah. [00:02:09] Vince Menzione: And you, you were, you’ve been there all that whole time. Pretty much. [00:02:12] Matt Y: Yeah, I guess when I started in New York, just down the road, we were, uh, in a Regis facility. There were like 11 of us in, uh, just sitting around a table and we had to speak quietly sometimes because there was a, um. [00:02:21] Matt Y: Some type of a financial services organization down the hall and they’d listen to try and get stock tips on Amazon. Yeah, [00:02:28] Vince Menzione: I love it. [00:02:29] Matt Y: Never leaked. That’s [00:02:29] Vince Menzione: good. I love it. [00:02:30] Matt Y: Yeah, [00:02:30] Vince Menzione: you probably got some great stories and, um, we won’t have time for today ’cause I wanna leave some room for conversations on marketplace end questions. [00:02:38] Matt Y: Yeah. [00:02:38] Vince Menzione: But I would love to invite you back for a real, like, in-depth podcast and I would love to get the whole genesis story. [00:02:44] Matt Y: Let’s do it. [00:02:45] Vince Menzione: We’ll do it. Okay, so let’s talk about, let’s talk about yesterday for you. Uh, some, some really big announcements as well. I thought maybe you could recap a little bit of what’s been going on in the marketplace business and it’s an, it’s been an exciting time. [00:02:58] Matt Y: Yeah. Yeah. You know what’s, I think what was really nice yesterday is it was sort of the combination of bringing, uh, our partner services like Partner Central and all those other services together closer to marketplace. We’ve been doing that over, over several years. So Marketplace has some of its own. [00:03:12] Matt Y: Big announcements, like, uh, we have a, we formalized our list and sell initiative. For example. We have a new, so it we essentially reducing the cost, uh, to list on marketplace through a partner program. [00:03:22] Vince Menzione: Yep. [00:03:22] Matt Y: And incentives associated with that. We have a new AI powered listing experience, which I think is particularly important ’cause I think many of you are like me and watching your SEO numbers go down and watching your agent traffic go up. [00:03:33] Matt Y: And so having, uh, an AI assistance in marketplace to optimize your listings for not just to, you know, retain what you can of your SEO, but prepare for the newent future and improve your GEO as we’re calling it. So that, [00:03:45] Vince Menzione: so it’s GEO now? [00:03:46] Matt Y: Yeah. You know, there’s a little debate right now in the acronym Moral A A EO versus GO I’m going, I’m on the G team, so, yeah. [00:03:52] Vince Menzione: Alright. GEO [00:03:54] Matt Y: It’s like the, the, yeah, they’re gonna win. They’re like the Knicks, but the, um, [00:03:57] Vince Menzione: yeah, yeah, exactly. [00:03:57] Matt Y: But yeah, so AI assisted, uh, I mean, making. The most of, like, essentially marketplace is an excellent conversion engine. And so using AI to help improve that conversion engine in the form of your PDPs for both humans and agents. [00:04:08] Matt Y: So that was an exciting launch. Um, I got the most applause when I announced that. We lowered, we made the economics better for, uh, consulting offers professional services, nice to marketplace. We lowered the listing fee from 2.5 to, to 0.5% and wow, it goes even lower in certain circumstances. So just improving the economics. [00:04:24] Matt Y: I’m really excited to. Really partner with a lot of you to reinvent services through, through the marketplace like we did with SAS and other areas. Uh, and we’re doing with agents right now. So that was a big one. And then a whole series of announcements around, um, how we’re making it easier and more cost effective and more efficient to partner with AWS. [00:04:41] Matt Y: So using AI to, uh, using med pick scoring to automatically progress opportunities so you don’t have to kind of wait on a human. To, to click and progress, you know, that that can take days. And, uh, if you, if you wanna have an opportunity and have that be cos sold with AWS, that can be through a mix of agents for the long tail and with humans in the, in the sort of top end and more complex. [00:05:00] Matt Y: And allowing AI to help all the partners improve their opportunity quality so that we can better co-sell together. So. Yeah, I said AI a lot intentionally. Um, [00:05:09] Audience Guest: yeah, [00:05:10] Matt Y: AI sort of in the whole cycle for buyers, for sellers, uh, for operational efficiency, cost of sales. So a lot of announcements. I think I hit the big ones, so yeah. [00:05:18] Matt Y: I’m Might have missed something there. There we go. [00:05:21] Vince Menzione: George. [00:05:21] Matt Y: Oh, and storefront. Yeah. Thanks George. See, I look at George to see what I missed. Uh, we, we acquired a great company called phoenix.ai late last year. Okay. And you, you actually were said Caresoft and Yeah. Be down. Uh, [00:05:30] Vince Menzione: yeah. [00:05:30] Matt Y: So if you’re familiar with Cara Cloud, they have a procurement portal. [00:05:33] Matt Y: It’s heavy use by the US government, and they, um. Uh, we, we acquired them, uh, the really great growth company. They have over 70 logos now, and they help you build a branded storefront on marketplace, which obviously is important in the government space. If you’re procuring on a certain contract with a certain reseller, um, you know, there’s a certain set of products you’re allowed to buy. [00:05:51] Matt Y: But what we’re finding is even down on Wall Street, you hear, um, enterprises are, are using storefronts for internal procurement and they wanna have a curated collection of, of partner products and, and your own ecosystems internally. So we’re selling to both customers. And also to channel partners to build custom storefronts, branded storefronts for, and [00:06:07] Vince Menzione: it makes total sense, right? [00:06:08] Vince Menzione: Yeah, because you wanna li you wanna limit the, the viewing and, uh, and get, because I mean, how many different listings do we have? Like over 30,000? [00:06:16] Matt Y: Yeah. Yeah. There’s, I think the official numbers over th we have over 36,000. I was checking from over 6,000 vendors. Um, it’s a lot. And, and that’s gonna explode with the AI powered, uh, listing, uh, experience that we launched. [00:06:26] Matt Y: We’re gonna make it easier. And I guess what I’ve been telling partners is. You know, customers aren’t clicking through categories anymore. They’re using AI to search. And so it doesn’t matter how big our catalog is, what matters is being found. And what matters is converting that buyer. So if you have a. [00:06:39] Matt Y: If you’re running a demand gen campaign for say, like, you know, life sciences in, in Jersey and there’s a specific buyer at j and j, you wanna capture, that person doesn’t wanna be just dropped onto a generic marketplace, 30,000 listings. They wanna be dropped in a very specific place where they’re seeing like life sciences offers from Accenture, for example, coupled with a life sciences power thing with Elastic, you know, like, but a solution. [00:07:00] Matt Y: And that they want to land in a curated place where that highly intention buyer can be converted effectively. So that, that’s what we’re doing with all this. [00:07:06] Vince Menzione: And that’s where the GEO comes in because [00:07:09] Matt Y: Yeah. ’cause that buyer might be an agent That’s right. With, and that agent has is even more fickle, honestly. [00:07:14] Matt Y: And you know, what used to be milliseconds for the human before they kind of click away is, is now perhaps microseconds. Yeah. And so, uh, you know, having the right metadata and, and the right positioning, uh, the right story that an agent or a human can pick up to ultimately. Uh, complete their product research and choose your product is, is critical. [00:07:30] Vince Menzione: Very cool. Very cool. So before I, I, I’ve been asked to ask you this because I, I’ve had this con, people have brought come to me and said, you gotta ask Matt about music. He’s a big music guy. And, uh, so what are your favorite bands? [00:07:49] Matt Y: So, I mean, the, the real answer is, uh. I, I go to about a show about every week. [00:07:54] Matt Y: As, as Mike Trill knows, uh, we heard a show last night. Um, we were, uh, just a few hours ago, really? And, uh, um, favorite band, uh, well, I’ll tell, I’ll tell a story. I, I had a side hustle with MTV for years. Um, I used to run a music website. Um, oh, that’s cool. I didn’t know that. It got, it got kind of popular. It got sponsored by, if, if anyone’s into like early hip hop. [00:08:16] Matt Y: It got sponsored by a group called Jurassic Five. ’cause he, one of them reached out to me and said, nice. Hey, uh, you know, I’ve been, I like your website. And he ended up paying for a web, hosting a Dream host, if you remember, of cost back then. [00:08:26] Vince Menzione: Oh, Jesus. [00:08:26] Matt Y: Because I was broke and couldn’t afford it. And then, uh, and then this band sent me like a, a single and said, Hey, you know, trying to get the word out about our little band, can you help us out? [00:08:35] Matt Y: And I put their, uh, I put their, you know, single up on my, on my website and it blew up. And that band is Vampire Weekend. So they’re kind of big now. Wow. Yeah. Um, and uh, that got picked up by like Vanity Fair and all these other guys. And then I got sponsored by MTV to essentially write. Music reviews for years on the side. [00:08:51] Matt Y: So I was working for the Associated Press, laying cable in sports and war and, and, uh, yeah. So Vampire Weekend was good to me that, that they, they kind of paved a way to go to a lot of free shows over the years and a lot of bands and see a lot of great music. But yeah. [00:09:03] Vince Menzione: That is very cool. And that, and how did that get your day? [00:09:05] Vince Menzione: WS It was just a, it was just the technology path that was like, [00:09:09] Matt Y: I mean, it’s a, it’s a, I guess it’s a bit of a long story, but, um, the. There’s many versions of this story. I’ll tell the, tell the one quickly. I was living for free in a Fulbright scholarship house in West Africa. You, we can talk about how that happened another time. [00:09:23] Matt Y: And, uh, a guy had sort of fallen down on the floor ’cause he’d had too much to drink. And I, I sort of lay down beside and be like, Hey man, are you all right? And, um, he, uh. He worked, he, he worked for the Associated Press and next day I had the job, um, being West Africa, head of technology for West Africa. [00:09:37] Matt Y: And because of that, um, and as I learned years later, the AP didn’t have dr they had no disaster recovery. Yeah. And I, I can tell you that now ’cause um, you know, 16 years since I worked there, but they, uh, I put the DR in, um, on AWS and we’re talking like, yeah, 16, 17 years ago. This is early. It was early days. [00:09:56] Matt Y: And I, I swear to God, I paid for. Uh, our AWS bill using, um, taxi receipts, fake taxi receipts that I bought in on Nigerian market, um, because there was no budget and so, you know, it was like 30 bucks. [00:10:08] Vince Menzione: I was gonna say swipe a credit card, but they didn’t [00:10:09] Matt Y: knew that this is the entire press this before. [00:10:11] Vince Menzione: This is before, yeah. [00:10:12] Matt Y: Yeah, like the entire ap. Um, and, uh, so AWS called me like, who are you? Like, why, why are you paying on like this like low limit credit card for like the ap? Like, who are you? And, uh. Next day I had the job. Well, a week later I had the job with aw WS. That so cool. So that’s the story’s [00:10:29] Vince Menzione: cool thing. [00:10:29] Matt Y: Yeah. [00:10:30] Vince Menzione: Very cool. [00:10:31] Vince Menzione: Uh, sports teams. So Knicks fan. [00:10:34] Matt Y: Yeah, I mean, I like the Knicks. Um, they’re h hockey, I’m not allowed to say anything different. No. I appreciate them. Uh, I’m a Raptors fan. I grew up in Toronto mostly. Yeah, yeah. Uh, so, and you know, when they won, uh, that was very exciting as well. So no, Nicks are great. I like the Knicks. [00:10:49] Matt Y: Nothing against the Knicks. Um. They’re fine. Yeah. [00:10:54] Vince Menzione: Hockey, hockey fan. Favorite hockey teams? [00:10:56] Matt Y: Oh yeah. Itron. Maple leaf. Maple leaf. Yeah. They’re gonna, they’re gonna win. Of course. Of course. Yeah. Um, like every year they’re actually, we [00:11:02] Vince Menzione: have some Canadians laughing in the sand. [00:11:03] Matt Y: Well, the leaf are, are, are the Knicks of hockey? [00:11:05] Matt Y: Like Yes, they are. You know, it’s 67 years out, coming up on 68 since they won, so That’s crazy. 53 is nothing. I know. Pain. So. Yeah, definitely the least. Yeah. [00:11:15] Vince Menzione: I love it. I love it. It’s so cool. Yeah. So what was the, uh, what was the, what was the last concert you went to? [00:11:22] Matt Y: Well, literally last night. Oh, it was last, [00:11:23] Vince Menzione: oh, that [00:11:24] Matt Y: was actually concert were my favorite bar in the world. [00:11:26] Matt Y: This place called Sunny’s. Uh, it’s, you know, I, I took Mike and, and Matt from, from Texas and from TGS down there to sort of see my neighborhood and they’re like, where are we? And I’m like, yeah, I live here. Uh, sort of an industrial part of Brooklyn. And, and we went to see, um, I dunno what you would call it, like. [00:11:40] Matt Y: I guess it’d be like roots music. There was a woman with an accordion and a guy with a big cowboy hat. Yeah, it was, it was fun. Yeah. [00:11:47] Vince Menzione: That is so funny. Alright, we’re gonna shift back years. Um, important time right now for partners. What, what should partners be looking out for the most? What would you say to them in terms of what’s the, what’s their real headline for them? [00:11:59] Matt Y: Well, I, I, you know, to borrow from you actually, you know, I liked, uh, the, the principles you had up there and, and with agility, um, you know, there’s a lot of fud flying around right now. You know, people. People were like, oh, it’s the demise of sis with the arrival of ai, you know, everyone’s gonna be using agents. [00:12:13] Matt Y: And then it turns out it’s been a huge boon for most, uh, you know, system integrators and consulting companies that I work with. They all have, you know, the, the good ones especially have vibrant consulting practices now, and everyone is deploying fds, uh, you know, um, the new, the new cool acronym. But it’s, it’s essentially created a huge opportunity for the consulting space. [00:12:31] Matt Y: Uh, and similarly, uh, you know, there there’s this narrative around the sa sa apocalypse, which I really hate, you know, ’cause it was, uh, premature and kind of a trigger reaction from the stock market. And, you know, just look, look what Snowflake did. And, you know, they did what a lot of SaaS companies are doing, but they, they added a nice sort of glaze of positioning and, and, you know, their stock popped and they did pretty well. [00:12:50] Matt Y: And so I think the ability to adapt with change and kind of roll with the punches. ’cause a lot of people are saying like, agents are gonna destroy everything. And, and the opposite has been true. For the more successful consulting companies and software companies who have become agentic. But SaaS hasn’t gone away, you know? [00:13:05] Matt Y: No. Look at our own marketplace. We have this agent marketplace, but people aren’t buying atomic agents at scale. They’re buying ified SaaS solutions with sort of agent sidecars, which has created new opportunities for candidly additional licenses, [00:13:16] Vince Menzione: right? [00:13:16] Matt Y: Um, as customers sort of want to consume more AI services on top of their. [00:13:20] Matt Y: On top of their SaaS solutions. So I think being agile, you know, you see like ServiceNow as part of our billionaires club. Yes. They’re not going anywhere. They’re, yeah. They’re gentrifying. You know, Salesforce has pivoted to this headless model, um, along with Asian Force and using sort of Slack as the operating system. [00:13:34] Matt Y: And, you know, you said like a lot of companies from the seventies aren’t around anymore. They’re gonna be winners and losers. Yeah. Um, but the winners are gonna win even more. And so I, I think what’s so important right now for partners is to not, not bite too hard at the, the latest trend. You know, models are changing and everyone’s like, oh, you know, philanthropics really in the world and they’re wonderful, great to work with, amazing technology. [00:13:55] Matt Y: That’s what people are saying about open AI six months ago. That’s right. And before that, you know, and it, I, I was with Fireworks AI yesterday, a great company and they have some really cool stuff with sort of, um, they believe in more cost effective, uh, open source models essentially, that you can find tune. [00:14:08] Matt Y: Maybe that’s gonna win. I don’t know. Um, is it gonna be sort of domain specific models? Is it gonna be highly capable LLMs? Are LLMs gonna level off as soon as Fable and Mythos are allowed to launch? Maybe. I, I don’t think anyone can predict the future right now. So you have to be agile and you have to kind of seize the opportunities and take a couple punches. [00:14:25] Vince Menzione: Yeah. [00:14:26] Matt Y: You know, and marketplace too, like we’re, you have to be unafraid to experiment right now. Um, you know, that’s hard if your stock’s taking a beating. Um, but this is, it’s a, it is a disruptive time, uh, but it’s creating actually enormous opportunities for growth for partners and, and we really see that, you know, in marketplace specifically within AWS. [00:14:45] Vince Menzione: It, it, it does still feel like the deer in the headlights moment. Right. Would you agree? Like you’re probably taking a lot of meetings and, and calls from ISVs specifically? [00:14:54] Matt Y: Well, [00:14:54] Vince Menzione: that are still trying to figure it out. [00:14:56] Matt Y: Yeah. But it’s everyone. Yeah. I think what’s really interesting, I had a meeting [00:14:58] Vince Menzione: with, it’s not just one. [00:14:59] Matt Y: Yeah. I, well, I had a meeting with one of the leading AI companies, like one of the biggest ones. And they, uh, they demonstrated how they work and they were really proud. They were like, you know, look at our agentic workflow. And I came out at me. I’m like, that’s it. Ours is way better. Like really like, you know, ’cause we we’re, we’re using quick desktop with MCP servers and connectors and all this, and you know, we, we have our own sort of ecosystem of partners, a mix of homegrown software and third party. [00:15:20] Matt Y: And I kinda walked out there and, and looked at, you know, my phone, which has been populated by agents this morning with all the, and I was like, I have a way better agent workflow than this world’s leading supposedly AI company. And I think, um, that really, so during, I, I would, during the headlights, you can call it deer in the headlights, I call it chaos. [00:15:36] Matt Y: And in times of chaos there are people who create. Opportunity again. And so, yeah, there are some people who are stuck and who don’t know what to do, who are over worried about token costs, um, who are not experimenting. But there are a lot of companies, uh, taking this opportunity to kind of pivot their business. [00:15:53] Matt Y: Um, I think, I think we’re in a moment and, uh, yeah, I, I candidly I see more of the latter. I see more experimenting. [00:15:59] Vince Menzione: You mentioned ServiceNow. Any other great examples of that? Organizations that really embraced it? [00:16:04] Matt Y: Uh, yeah. Well, you know, ServiceNow is part of this business applications category, as we call it, in marketplace. [00:16:09] Matt Y: That outside of AI, I think is the fastest growing category in marketplace, which is wild when you think about it. ’cause we’ve historically been an infrastructure partner marketplace with security and data and analytics and, you know, security with channel partners, et cetera. But Salesforce, ServiceNow, Workday, Adobe, you know, I could go on. [00:16:23] Matt Y: They, they are actually. You know, our fastest growing category and yeah, ServiceNow, obviously reinventing itself for ai, Salesforce, but Workday, you know, the workday’s done some, who knows if it’s gonna work, but they, they’re experimenting with essentially like a Databricks, uh, credit style model for like, units of work, uh, which I think is fascinating. [00:16:41] Matt Y: Like everyone’s talking about value-based, outcome-based pricing and meter. And, and you have companies that are ERP companies, you know, like traditional business applications, experimenting with effectively like a metered pay as you go, value based credit model. Again, like who knows if it’s gonna work. [00:16:54] Matt Y: But I think that’s really amazing to see and we need more ISVs experimenting. I, I was talking about trend ai and I know they’re, they’re, they’re one of the sponsors yesterday. You know, many of you know them as Trend Micro back in the day. They’ve successfully reinvented themselves. They built that companion app. [00:17:10] Matt Y: Um, you know, that I think we’re seeing. Just a ton of experimentation in the market across categories. Uh, I could go on and on about partners. Um, yeah, there, I I wouldn’t pick a winner right now. Yeah. [00:17:24] Vince Menzione: You, you, we’ve talked about ai. We’ve talked, talk more about the buying journey and how that’s changing, because again, it feels, it feels like that’s also [00:17:33] Matt Y: Yeah. [00:17:33] Matt Y: So, you know, one of, one of the core, uh, strategic objectives, or we’ll say like the philosophy marketplace is that. Um, financial incentives are important, you know, EDP or PPA drawdown, uh, credits. Like we need to act as an efficient and effective vehicle for allowing buyers to exercise their discounts for, and, and sort of partners to exercise their credits, et cetera. [00:17:55] Matt Y: That, that’s actually important. But what, what a lot of people over rotate on that, and we’re really, one of the things we say a lot inside at Amazon or at AWS marketplace is we want to continue to boost the intrinsic value of marketplace beyond the financial incentives. And well over a quarter of all private offers, private pricing, private, uh, custom terms, et cetera. [00:18:14] Matt Y: Um, begin with a self-service or PLG motion. And partners who don’t have a PLG or self-service motion are literally leaving money on the table. Like if you look at like a Databricks for example, and they did a good job integrating buy with a WS within their SaaS application. They have free trials, they have really strong pego and, and, uh, and PLG motion. [00:18:33] Matt Y: They’re making, I can’t share their numbers obviously, but they’re making a ton of money. On purely self-service motions. And importantly, they’re acquiring new business, new logos that they nurture, you know, really like not just leads but closed opportunities, right? That they lead, they’re growing, uh, at a reasonable conversion rate or or success rate into the next big logos. [00:18:50] Matt Y: And these are over multi-year horizons. They’re patient, you know, they bring in these new logos with PLG, and they’re also bringing banking, a lot of large enterprises. Through self-service. I, I was with data Mask. There’s this great little startup from New Zealand. They’re a New Zealand based company. Um, super nice guy. [00:19:06] Matt Y: And, and, uh, they, they got huge logos. I think they got, what was it? A DP and some huge American logos. Okay. And this like logo in, I think it was Chile, or no, it was Peru. They’ve never been to Peru. They don’t have sales in Peru. Um, and they. Buyers were discovering them self-service and they, they, I think they got something like 13 logos entirely through a self-service motion. [00:19:26] Matt Y: One password will tell you the same thing. I was just with them in Toronto and companies big and small startups and the largest are getting enterprise wins in addition to net new small logos through that PLG. Buyer motion. And that’s because you have a whole generation of CFOs, CTOs, CROs, whatever. The C is [00:19:43] Vince Menzione: millennial [00:19:43] Matt Y: who grew up on their phones. [00:19:45] Vince Menzione: Yeah. [00:19:45] Matt Y: And, and it sounds like, you know, hyperbole, but it’s true. They, they want immediate apps, immediate access. And that actually, you’re like, oh, that never translates to business applications. Turns out it does. It does. And they might not be buying on their phone, but what they are doing is researching and we see the numbers, the amount of customers who are doing their research, and then eventually landing on the page from chat, GPT. [00:20:06] Matt Y: From major financial, like Fortune 500 companies is extremely high. Yeah. Uh, you have procurement team, sourcing team, uh, developers who are starting the research increasingly, like in clawed in chat, GPT, and then, you know, building a proposal and then handing it to their enterprise procurement team. Yeah. [00:20:22] Matt Y: Which is still largely unchanged. So buyer behavior is on the front end, on the research side is really changing. So the [00:20:29] Vince Menzione: discovery is happening through PLG. [00:20:32] Matt Y: Yeah. [00:20:32] Vince Menzione: And then the backend work on private offers and things like that sometimes still happens the old way. [00:20:36] Matt Y: Yeah. Well, and so, you know, it’s [00:20:37] Vince Menzione: fax machine, [00:20:38] Matt Y: some people Yeah, sure. [00:20:39] Matt Y: They’re bringing the deal directly to Marketplace last minute. But even if that deal goes direct, sometimes they’re still beginning their research journey and increasingly using Marketplace as a research vehicle, which is why we launched Agent Mode, um, to help you sort of help you and agents do research. [00:20:51] Matt Y: But that I think if, if I have one piece of device for any partner consulting or ISV is. Don’t leave those leads and that money on the table by not having a PLG self-service strategy like you’re fooling yourself. Uh, and it’s, it’s a huge, it’s a huge, huge business for us. The, the majority of all customers by far on marketplace don’t even have a PPA, uh, and a huge percentage of even those with PPA spend beyond the p. [00:21:17] Matt Y: And so if you’re just think if you’re just using marketplaces as like BPA retirement, you are literally losing money. [00:21:22] Vince Menzione: Yeah. [00:21:22] Matt Y: Yeah. [00:21:23] Vince Menzione: We have a session with Vinod. We’re gonna talk a little bit about that right after. Great. So good. Um, so I, yeah, I think, um. We talked about, we talked about agents, we’ve talked about the millennial buyer, the change in buying behavior. [00:21:40] Vince Menzione: What other, what other areas of aspect I, I, I, I do wanna think about like opening it up though for a second. I think that maybe with maybe nine minutes left. Sure. I just want to get a read from the people in the room. People have questions for Matt that we weren’t able to ask them. Yeah, I think, I think we probably have a few of those. [00:21:57] Vince Menzione: I think that would probably be great. [00:21:58] Matt Y: I can sense the hardball coming. [00:22:00] Vince Menzione: You’ve known each other [00:22:00] Matt Y: a long time. [00:22:01] Vince Menzione: Yeah. No, no. Hardball. We have a mic back here. Okay. I’ll just, we’ll, we’ll, we’ll get you a mic as we are recording. So good. Thank you. [00:22:11] Audience Guest: Uh, Boris Geller with a, a Click PLG is near and dear to my heart. [00:22:17] Audience Guest: We’ve been doing a lot of business in marketplace and I’m still struggling to sell my vision internally on, on, uh, on PLG. Uh, I think. Ag Agent AI is gonna be one of the drivers, and we are already on, uh, agent Marketplace, but I would appreciate guidance on, uh, best practices. How do we kind of, uh, operationalize it? [00:22:41] Audience Guest: It’s, it’s on us, not on you. [00:22:43] Matt Y: Well, no, I think it’s on both of us. You know, we, uh. One thing that we’re trying to do is give you more data to, to sell to your internal stakeholders in your executive suite. The value of co-sell with AWS all up, like finally with what we launched at, uh, the summit yesterday, you now get an opportunity score. [00:23:02] Matt Y: You, you get a number. People have been asking for this for years, so, so you can say when we do this and we, when we give AWS this information. The score goes up and we have a higher propensity to be cos sold by humans or agents before you had to kind of, it was like this mystery you had to guess. And similarly with marketplace, um, we, we have new dashboards that you can use to sort of, you used to have to sit down with us and go through spreadsheets to trace sort of lead to trace the funnel to sort of a close opportunity. [00:23:28] Matt Y: And we’re gonna continue to launch more there. But you now have more data that you can show. You can be like, listen, these are our inbound leads, this how’s converting, and now we have PRM, the partner revenue measurement where we can say like, this is what it’s translating into in terms of. AWS service revenue driven by our product. [00:23:41] Matt Y: And so that being able to tie from that inbound lead from your demand gen campaign through to a converted opportunity to what you actually drive from an AWS impact perspective, so you can, and then what your opportunity score is that data you can use to sell. Not only internally, but to us as well. Yeah, to a skeptical sales team or whatever who’s not maybe, you know, hype on partners in the, in the US West. [00:24:03] Matt Y: You can be like, listen, I don’t care what you think about my business. This is what I’m gonna drive for you with your quarter retirement from an AWS perspective, and this is how the shape of your customer accounts are gonna change. And this is why you should pay attention to my opportunities. ’cause my opportunity score is, is crazy high and I’m giving you insights into business that AWS would not otherwise have. [00:24:19] Vince Menzione: That’s your brand story we’re talking about. [00:24:21] Matt Y: Yeah. [00:24:22] Vince Menzione: Building your story up with within [00:24:25] Matt Y: So it’s, it’s about the data, I guess. And, and you should, you know, you should all actually be [00:24:28] Vince Menzione: Yeah. [00:24:29] Matt Y: Asking me for more data, so, you know, and tell me like, what do you need to sell to your internal stakeholders? ’cause if I can draw a clear line. [00:24:35] Matt Y: From your demand chain campaign that lands on a marketplace, which I know is a conversion machine, it has way better than industry levels of, of conversion rates. And then you can show, hey, if we have a PLG strategy and we land those leads on marketplace, we will convert them with high efficiency, low cost of sales and, and, and have sort of a bifurcated where we can close some through self service, some through express private offers and some through private offers, depending on deal size. [00:24:57] Matt Y: Like you tell A CFO that, and they’re my number one customer now and they love it ’cause they see cost of sales going down, cost of operations going down and business going up. Um, so I think we have more data than we used to use that data. And let me know what other data do you need to make that pitch and make that pitch to the CFO go around the head of sales, all those other people. [00:25:15] Matt Y: Honestly, the CFO is where we get the best leverage. [00:25:18] Vince Menzione: Awesome. Great question. [00:25:23] Matt Y: Gonna bring your mic. [00:25:23] Vince Menzione: We’re, we’re gonna get your mic here. There you go. Oh, [00:25:25] Audience Guest: thank you. So my name’s Jody Cheval and I’m a consultant now, but I was at Workday during when they adopted AWS and it, a sales organization needs propensity to buy data. [00:25:34] Audience Guest: To really drive the sales team to realize the opportunity kind of makes them visualize it. We didn’t struggle, but it was challenging to get that data because at that time we’re getting spreadsheets. So does AWS have a vision of making that API based data that our client, my clients, can get at and bring into a tool to start building account hypothesis based on that data? [00:25:57] Audience Guest: ’cause it really is important to an enterprise sales guy to have the sense that OAWS can help me close this deal. [00:26:03] Matt Y: Yeah. I mean. Part of that. So we, we launched, we’ve been launching part of that in stages and we’re not done. There’s, there’s more coming. Um, part of that is embedded really within the new, uh, partner agent workflows. [00:26:13] Matt Y: We are giving sort of more, uh, information back to you, not just about like what funding programs you’re eligible for, but like, you know, and when, when we will co-sell this deal with you, which is effectively a signal like we, we see this as a high value opportunity, that you have a likelihood of winning internally. [00:26:28] Matt Y: We, we have this solution matching engine that we’re using and we announced. That, that that ties you the partner to a customer specific opportunity that you have a high propensity or the partner has a high propensity to assist with and ultimately win. And now we’ve tied that to our express private offers, which we announced this week. [00:26:44] Matt Y: So it’s an indirect answer to what you’re asking, but a rep can essentially say. Send a private priced offer to the customer on behalf of the partner without having to ring up the partner because they have a high propensity to win this deal with the customer. So we’re progressively launching features like that. [00:26:59] Matt Y: In addition to the propensity to buy data that we do now share. It used to be kind of, again, manual magic depending on who you knew we could share. Now we do share that programmatically, and there’s more to come specifically in that space. Uh, I’d say watch that space. In the next few months, there’s gonna be more data coming away, but we do have the APIs, we have the agent. [00:27:16] Matt Y: We have things like express private office solution matching, and we have been sort of in that space progressively launching features over the last six to 12 months. And, and you should expect to see some more there soon, not just from us or from our partners. [00:27:27] Vince Menzione: Nice. Any announcement dates? [00:27:30] Matt Y: I can’t commit to a date or else my engineers will get mad at me. [00:27:33] Vince Menzione: It looks like we Another question number. Is the mic still back there? Okay. There’s a gentleman over here [00:27:40] Audience Guest: first Go leaves. Um, it’s awesome. I’m right next to. I was right next. [00:27:46] Vince Menzione: We’ve got a lot of great plants here, so, [00:27:49] Audience Guest: um, so this may be a little bit myopic or, or a challenge that we run into, but I love a lot of the innovation that’s looking forward and all the future things that we’re doing. [00:28:00] Audience Guest: One of the things that we’re struggling with is a little bit of almost like tech or structural debt. How do you think about bringing flexibility to the core pieces that underpin all of the innovation, which is. We are self-hosted. So one of our listings is an a MI. You can’t amend an a MI, you have to cancel and start over. [00:28:18] Audience Guest: So a lot of the building blocks, when you think about PLG, if somebody wants to add to that in an a MI listing, it’s, it’s sort of broken. So how are you thinking about taking all of the, the rapidly changing buyer behavior and then looking back at the structural foundation that underpins all of those things, like offers and, and amendments and changes and all of that? [00:28:39] Matt Y: Yeah. I, I promise I didn’t seed that question, but that, that’s a great one. Um, so not to get too in the weeds, but fundamentally, marketplace was built up, um, a bit like AWS like a set, a series of services somewhat independently. And each product type was effectively its own service, SaaS, server images, ais. [00:28:59] Matt Y: Um, what we’ve done recently is now we, we have, we got rid of product types basically on the backend. You, you don’t see it, but what that means, for example, like another thing AAMIs don’t support today, future data agreements. Um, or concurrent agreements, uh, they will all be supported by amis before the end of the year. [00:29:14] Matt Y: ’cause what we’re doing, this fundamental thing that you won’t even see called product offer decoupling. Uh, and it’s a fundamental piece of things that we need to unwind. ’cause we built up, we were moving very quickly over the years. We had a distributed engineering model and we built each product type independently. [00:29:28] Matt Y: And so yeah, if you’re a seller and you’re selling containers, agents, SaaS, amies, um, we’re breaking down the silos between those so that each of them will get the same benefits. And, and by the way, we’re taking the same approach to international. Hopefully you’ve noticed now that. It’s not like a feature launches in the US only and then takes five years to launch in either public sector or another country. [00:29:48] Matt Y: We, we’ve taken a global approach to feature launch and increasingly a product type neutral approach to feature launches. Uh, that’ll be largely resolved before the year’s out. We’re working on it right now. So again, it’s, it should be transparent to you, like you shouldn’t actually see any difference in the, in the experience. [00:30:05] Matt Y: Except that all of those features will be available. So, so that is, uh, actively under work. And that’s actually something if you’d like to try, um, you’re, you’re welcome to. So, yeah, [00:30:17] Vince Menzione: we have time for maybe one more question and we we’re actually gonna have you up here with a couple partners. [00:30:24] Matt Y: Sounds [00:30:24] Vince Menzione: good. Kind of fun. [00:30:32] Audience Guest: Hey, Matt, uh, met Natasha from Dondo. Uh, quick. So great announcements. And you know, you talked about the million, multi-billion dollar, uh, club, and, uh, that’s all great. Uh, in terms of the. Propensity data. I think that’s coming at the center of a lot of things, right? You know, for enterprises, oh, there’s an investment and you tap into that investment. [00:30:53] Audience Guest: But also there’s the other side of the procurement where a lot of customers, sometimes we work with, they’re like, they still wanna go direct for whatever reason, right? So I think there’s an education piece there, but also trying to understand like how we can work together to, you know, get some of that side of the things sorted out as well. [00:31:11] Audience Guest: You know? ’cause a lot of times it’s not about. Just, you know, retiring the, uh, the, the spend comets, but also like, Hey, I’m used, I’m already used that for something else. So maybe that’s not an, uh, something that applies here. And in also in tying that the PLG motion, uh, you know, for the customers you said, you talked about, you know, if there is. [00:31:34] Audience Guest: Leads on the TA table, like where the, it’s not the enterprise, but you know, the others. Um, I feel like it’s more to do, changing the business model at some times. Like with the enterprises, you have the revenue stream coming through, say large deals, right? And all of a sudden you tap into this, you know, PayGo. [00:31:51] Audience Guest: Where it flips the whole equation with, you know, the financing and the, and the, and the revenue measurement. So I think there’s two aspects of how do you kind of cons reconcile those things in terms of, you know, the revenue measurements going forward. [00:32:05] Matt Y: Yeah. So, so two things real quick on the procurement. [00:32:07] Matt Y: Um, yeah, like, yeah, I sort of alluded to this earlier, but, uh. Procurement is a bit late to the AI ag agentic transformation. They’re trying, and there’s a lot of great new incumbents in this space. And the big leaders like, you know, Coupa and Ariba and Oracle are, are, are evolving their products, albeit a bit slowly. [00:32:26] Matt Y: Um, but the, I think, uh, it’s still the long pole in the tent. You know this. And so like, there are two reasons why deals tend to go direct, because it kind of hits a wall of. Legal, uh, you know, procurement, governance, like all that kind of after the selection’s been made, et cetera, or, or they’re, you know, we can’t change. [00:32:44] Matt Y: People are gonna optimize for, for finance, you know, they’re, they’re going to, if they’re getting big discounts. I mean, that is life. I always say it’s like sellers at the most agented company are still gonna chase quota no matter how, you know, crazy. Uh, your, your company is, and it’s the same with, um, with the chief, uh, financial officer and chief procurement officer. [00:33:01] Matt Y: They are going to, they’re literally. Paid to find discounts. And so we’re not, we’re not gonna get rid of financial engineering. That’s a, that’s a thing. What we can do is reduce the friction for procurement. So we launched, for example, like mandatory purchase orders. That was a big thing. We, we have buyer notifications, now we’re making other procure to pay enhancements. [00:33:17] Matt Y: I mean, procurement systems still use like CXML. It’s like, that was, that was cool when I worked for the ap. And like I, I have teenagers that are old, like older than, so they, I, I think, um. Procurement needs to evolve and we’re gonna help it evolve. We’re gonna push it forward and, and we need to make it more seamless for procurement teams so that we remove those objections. [00:33:38] Matt Y: Uh, I can’t remove the financial engineering objection, like, you know, that’s just life. Um, but I can make it irresponsible not to use marketplace ’cause it’s so easy to use. And, uh, that, that’s kind of the approach we’re taking on, on the front end. Uh, you, you know, I think you, you, again, I didn’t see this question. [00:33:52] Matt Y: You, you stepped into a trap. Un unwittingly, um, PLG is not just is for enterprise. And, and PLG doesn’t necessarily mean pego or self-service. Uh, doesn’t necessarily like, uh, most of our self-service efforts are actually focused on private offers. And not necessarily for pego. Uh, when, when I say self-service and, and PLG, uh, it, it can mean all kinds of things like it. [00:34:14] Matt Y: We have requested private offer, requested demo call to actions, buttons that you can put on your listing. For example, you don’t necessarily need a free trial or a metered pay as you go listing to take advantage of those inbound self-service leads. So, and those inbound self-service leads are often massive enterprise deals, like I mentioned specifically, uh, the data mask. [00:34:31] Matt Y: Those giant enterprise deals that they launched came from an enterprise like Fortune 1000 Enterprise in the US that organically discovered their solution on the marketplace using our AI search. And that was a massive enterprise. And so I, I think yes, there is the long tail, you wanna capture a new logo acquisition, but you should think of your product like growth in your self-service strategy as a way to, um, acquire all kinds of leads, including large enterprise. [00:34:54] Matt Y: And so when I say leave money on the table, I’m not just talking about things that are gonna mature over two years or tiny little deals. These could be massive deals. Uh, and, and you’ll accelerate those deals by accelerating their discovery and, and research so that I think that, so, and my advice is don’t, you don’t have to go all in if you don’t have, if you don’t have metering, if you don’t have PayGo, that’s cool. [00:35:13] Matt Y: Start with something simple. Start with a public listing, with a request to private offer like that. That is a, a huge step. That doesn’t take much, and, and it kind of blows my mind still that a lot of companies aren’t doing that yet. [00:35:25] Vince Menzione: Great answer. Well, it’s now time we’re gonna bring, we’re gonna bring, it’s time. [00:35:29] Vince Menzione: We, we’ve got some great partners coming up here, Nvidia Elastic, Accenture gonna all join us for a conversation. Great. And I’m glad that you’re gonna stay with us. And let’s, let’s, well, let’s thank Matt, by the way, for that session. [00:35:41] Matt Y: Thanks. [00:35:42] Vince Menzione: And [00:35:42] Matt Y: thanks for listening to the Ultimate [00:35:44] Vince Menzione: Partner Podcast. If today’s conversation resonated, share it with a partner leader in your network. [00:35:51] Vince Menzione: Subscribe where you listen. And head over to the ultimate partner.com. For show notes related content and the resources for this episode. And if you haven’t already, now’s the time to register for the Ultimate Partner Live Event in Reston, Virginia, October 26th through October 28th. Until next time, keep showing up in the rooms that matter because being in the room changes everything.

Valve offers Windows drivers now for the Steam Machine, Intel feels like they need to join to price rising brigades, Micron is fab, MiniPC's with last gen gear, and Nvidia will lend you money on easy terms!  Adobe has another vulnerability and Microsoft has a couple fresh ones too!So much more in the actual show ... especially the live version, which you probably missed.Timestamps:00:00 Intro01:22 Patreon02:53 Food with Josh 05:41 Steam Machine coverage continues (again)08:52 Intel Nova Lake and AVX-51210:04 Intel raises MSRPs on their best processors11:02 Intel restarts 13th and 14th Gen Core production - for China12:23 Lian Li B4 mATX makes another appearance15:01 Micron breaking ground on a new fab expansion16:01 Get ready for Mini PCs with previous-gen Intel CPUs and DDR417:33 Internal sound cards in 2026?20:25 Cover story - RTX 3060 12GB returns in 202623:54 An NVIDIA story about AI cloud26:24 Jeremy leads us into a story about Samsung's obscene profits28:22 Josh's Racing Corner32:38 (In)Security Corner50:07 Gaming Quick Hits57:12 Picks of the Week1:08:22 Outro ★ Support this podcast on Patreon ★

Beside Colorado's oldest church, Alphonso Abeyta created a sanctuary using more than 50,000 adobe bricks and traditional knowledge passed down in the San Luis Valley.

Charles is joined by Victoria Fernandez, Chief Market Strategist at Crossmark Global Investments, to discuss why even the biggest Wall Street fund managers are struggling right now, why a legendary investor is dumping stocks to chase short-term trends, and whether software giants like Fortinet and Adobe are still safe bets for your money. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Nino reports back from DJI's Malta press event with first impressions of the Osmo Pocket 4P, Johnnie's Leica SL3-P video review goes live, and Apple has a mixed week – raising MacBook and iPad prices while also shipping a meaningful Creator Studio update for Final Cut Pro. We also cover Adobe's planned acquisition of Topaz Labs, MultiDyne stepping in to save the MRMC motion-control brand, a new sun-tracking cinema viewfinder app, and a stack of smaller gear and firmware news.  This episode is sponsored by Hollyland — check it out at (25:13). Learn more: LINK Chapters & Articles Mentioned in This Episode: (00:00) Intro & topic outlook (05:32) DJI Osmo Pocket 4P Malta hands-on – 17-stop dynamic range claim and LOFIC sensor tech (26:17) Leica SL3-P review – gorgeous color rendition, confusing menu, now with video review https://www.cined.com/leica-sl3-p-review-gorgeous-color-rendition-confusing-menu/ (32:03)  7Artisans DREAM Series Announced – MF 35mm/50mm/75mm T1.5 Full-Frame Cine Lens for E/L/Z/RF Mounts https://www.cined.com/7artisans-dream-series-announced-mf-35mm-50mm-75mm-t1-5-full-frame-cine-lens-for-e-l-z-rf-mounts/ (37:07) Apple raises MacBook and iPad prices as AI memory crisis reaches consumer hardware https://www.cined.com/apple-raises-macbook-and-ipad-prices-as-ai-memory-crisis-reaches-consumer-hardware/ (40:04) Apple Creator Studio update adds generate captions, edit detection, and auto mask to Final Cut Pro https://www.cined.com/apple-creator-studio-update-adds-generate-captions-edit-detection-and-auto-mask-to-final-cut-pro/ (52:32) XPPen Pilot Pro review – a versatile editing controller, but not for everyone https://www.cined.com/xppen-pilot-pro-review-a-versatile-editing-controller-but-not-for-everyone/ (58:27) LIGHTFRAMER PRO app introduced – turns iPhone into cinema viewfinder with sun tracking https://www.cined.com/lightframer-pro-app-introduced-turns-iphone-into-cinema-viewfinder-with-sun-tracking/ (1:01:40) MultiDyne acquires MRMC assets – forms new company to revive the motion-control brand https://www.cined.com/multidyne-acquires-mrmc-assets-forms-new-company-to-revive-the-motion-control-brand/ (1:05:33) Adobe to acquire Topaz Labs – AI upscaling and image enhancement, on-device models, standalone apps to continue https://www.cined.com/adobe-to-acquire-topaz-labs-ai-upscaling-and-image-enhancement-on-device-models-standalone-apps-to-continue/ (1:11:21) AtomOS 12.7.0 for Ninja RAW, Ninja TX, and Ninja TX GO released – RAW support for Sony α7R VI, Canon EOS R6 V, and Leica SL3-P https://www.cined.com/atomos-12-7-0-for-ninja-raw-ninja-tx-and-ninja-tx-go-released-raw-support-for-sony-%ce%b17r-vi-canon-eos-r6-v-and-leica-sl3-p/ (1:12:47) ARRI LUKA Unreal Engine plugin announced – virtual ARRI lights and cameras, real-time Lumen previs, DMX and LiveLink control https://www.cined.com/arri-luka-unreal-engine-plugin-announced-virtual-arri-lights-and-cameras-real-time-lumen-previs-dmx-and-livelink-control/ (1:17:11) DaVinci Resolve 21.0.1 released – improved RAW decoding, better HDR delivery, and Sony Alpha 7R VI support https://www.cined.com/davinci-resolve-21-0-1-released-improved-raw-decoding-better-hdr-delivery-and-sony-alpha-7r-vi-support/ (1:18:48) rsv.repair by OTTOMATIC introduced – free recovery tool for Sony .RSV files https://www.cined.com/rsv-repair-by-ottomatic-introduced-free-recovery-tool-for-sony-rsv-files/ (1:21:55) KIPON drop-in variable ND PL mount adapter announced with a deep-recessed design https://www.cined.com/kipon-drop-in-variable-nd-pl-mount-adapter-announced-with-a-deep-recessed-design/ (1:23:51) iFootage Shark Slider Pico Pro released with a higher payload https://www.cined.com/ifootage-shark-slider-pico-pro-released-with-a-higher-payload/ (1:27:01) Canon EOS C50, C80, and C400 firmware updates released https://www.cined.com/canon-eos-c50-c80-and-c400-firmware-updates-released/

Trust is rising in Australia according to this year's Trust Barometer, but so is anxiety, division and scepticism. In this episode of The CMO Show, Mark Jones is joined by Jo Osorio, Chief of Staff & Interim CEO of Edelman Australia, and Paula Cowan, Managing Director of ImpactInstitute, to unpack this year's findings and explore what they mean for marketers, communicators and business leaders.  The conversation examines a growing paradox. While trust in government and media continues to decline, employers and businesses continue to be seen as the most reliable institutions in people's lives. Against a backdrop of rising anxiety, economic uncertainty and increasing social division, organisations are being asked to do more than communicate effectively. They are being challenged to demonstrate competence, integrity, purpose and care.  Jo and Paula discuss the intersection of trust and social impact, in tackling what the Trust Barometer outlines as an increasingly insular mindset. They explore the importance of reputation built on social good as a brand lever.    For marketers, the implications are significant. The discussion explores how organisations can communicate sustainability and impact with credibility, activate trusted voices, and build stronger relationships with stakeholders through listening, transparency and genuine engagement.  The episode also examines the role of trust during periods of transformation, from AI and workforce change to evolving expectations around diversity, inclusion and social impact. Jo and Paula share practical insights into measuring impact, fostering collaboration across differing viewpoints and creating the conditions for long-term trust inside and outside organisations.  Ultimately, this conversation challenges leaders to rethink trust not as a reputation metric, but as the foundation for meaningful relationships, organisational resilience and sustainable growth in an increasingly divided world.    This episode is brought to you by impact advisory, communications and events agency, ImpactInstitute in partnership with Adobe.  www.impactinstitute.com.au | https://business.adobe.com/au

Dan Nathan and Guy Adami open the podcast by framing the day's key market story as sharp weakness and heightened volatility in memory, chips, and semi equipment, citing rapid reversals in names like Micron and Applied Materials and opaque guidance from Samsung. They discuss whether the AI build-out is increasingly debt-funded—highlighting Amazon and Oracle debt issuance and private credit deals—and reference a “Groundbreaker” piece shared by Jim Chanos arguing investors miss second-derivative slowdowns and that AI resembles a credit-driven real estate cycle more like 2008 than 2000's patient equity bubble. They note a rotation bounce into software (Microsoft, Palantir, Salesforce, Adobe, ServiceNow) but question sustainability, and debate SpaceX's fast-tracked inclusion in the Nasdaq 100 after its IPO, the stock's poor trading, possible broader IPO implications, and an upcoming insider share unlock —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media The financial opinions expressed in Risk Reversal content are for information purposes only. The opinions expressed by the hosts and participants are not an attempt to influence specific trading behavior, investments, or strategies. Past performance does not necessarily predict future outcomes. No specific results or profits are assured when relying on Risk Reversal. Before making any investment or trade, evaluate its suitability for your circumstances and consider consulting your own financial or investment advisor. The financial products discussed in Risk Reversal carry a high level of risk and may not be appropriate for many investors. If you have uncertainties, it's advisable to seek professional advice. Remember that trading involves a risk to your capital, so only invest money that you can afford to lose. Derivatives are not suitable for all investors and involve the risk of losing more than the amount originally deposited and any profit you might have made. This communication is not a recommendation or offer to buy, sell or retain any specific investment or service.

We've been running a bit of an Agent Cloud series surveying all the top inference/compute/cloud providers, from Databricks to Daytona to Railway and, even further back, E2B, but we're excited to conclude this series returning to Modal, which has just raised a monster $355M Series C.The cloud was built for developers. But agents are now changing that.The old infra stack was designed for a human who could read docs, reason through YAML, and understand dashboards to figure out what they need when something broke. While this was painful for developers, it worked since they could fill in missing context in their heads.However, agents don't have that luxury. Now in this new era of agents, everything has to be tighter.They need a place to write code, run it, inspect the output, change the environment, debug failures, and try again. Fast iteration and feedback loops with all the necessary context are crucial for agents to operate properly. Furthermore, sandboxes are a clear representation of this shift as agents can easily spin up isolated environments. This programmatic infra even extends to research:Two years ago, we were one of the first to cover Modal with CEO Erik Bernhardsson and Alessio designed our favorite LS thumbnail of all time:At the time, Modal was just a teeny little company with a $17M Series A.Today, fresh off their $355M Series C, Modal is one of the clearest examples of the agent cloud future being built in real time: a cloud platform moving past traditional web app assumptions toward the workloads AI actually creates such as elastic inference, sandboxes, GPU burst, post-training, background agents, and infrastructure that agents themselves can operate.In this episode, Modal CTO Akshat Bubna joins swyx and Vibhu to unpack why AI applications don't fit traditional cloud assumptions, why Kubernetes was never designed for bursty compute-heavy workloads, and why Modal is now shifting from developer experience to agent experience.We go deep on Modal's AI infra stack: serverless functions, decorator-based infrastructure, elastic inference for custom models, GPU snapshotting, DeFlash, speculative decoding, Auto Endpoints, sandboxes, persistent storage, networked containers, private IPv6, RDMA, multi-node training, and Modal's capacity pool across 17 cloud providers. Akshat also explains why RL rollouts can require 100,000 sandboxes, why production agents need hard guardrails, why observability may matter more than reading code, and why AI has made infrastructure exciting again.We discuss:* Why Kubernetes wasn't built for bursty AI workloads* How Modal started as a better runtime before becoming an AI cloud* Why Modal added GPUs before ChatGPT* The shift from developer experience to agent experience* Why observability matters when agents are writing the code* Elastic inference for custom models across audio, video, robotics, and comp bio* GPU snapshotting, cold starts, and why inference workloads are so bursty* Why RL rollouts can require 100,000 sandboxes* DeFlash, speculative decoding, and frontier-level inference performance* Auto Endpoints and making optimized inference easier to deploy* What Modal adds beyond vLLM, SGLang, and raw GPU rental* Modal's 17-cloud capacity pool and supercloud strategy* Networked sandboxes, sidecars, private IPv6, and RDMA* Serverless multi-node training for post-training and research workloads* Auto-research, model-guided sweeps, and agents launching GPU experiments* Compute strategy, capacity planning, and batch tiers* Why production agents need specialized sandboxes and hard guardrails* Modal's take on managed agents, CI, Gitpod/Ona, Python, TypeScript, and Modal BenchAkshat Bubna* LinkedIn: https://www.linkedin.com/in/akshat-bubna-188885103* X: https://x.com/akshat_bModal* Website: https://modal.comTimestamps00:00:00 Introduction00:00:39 Modal's origin and why Kubernetes wasn't enough00:04:32 Developer Experience → Agent Experience00:06:21 Modal's AI cloud primitives00:09:14 Sandboxes, agent loops, and proto-Cognition00:12:12 Elastic inference, GPU snapshotting, and 100,000 sandboxes00:15:24 DeFlash, speculative decoding, and Auto Endpoints00:19:59 Production-grade inference beyond raw GPUs00:22:00 Background agents, Ramp Inspect, and the agent lifecycle00:24:08 Modal's 17-cloud supercloud strategy00:26:40 Networked sandboxes, private IPv6, and RDMA00:32:48 Multi-node training, post-training, and auto research00:37:36 Compute strategy, capacity planning, and batch tiers00:40:55 Open models, real-time AI, and production agent infra00:43:06 Hard guardrails, managed agents, and specialized sandboxes00:46:06 Why AI made infrastructure exciting again00:48:30 Model APIs, differentiated products, and agentic video00:51:50 CI, coding-agent infra, SDKs, and Modal Bench00:57:28 Closing ThoughtsTranscriptIntroduction: Modal, Series C, and the Art PartySwyx [00:00:00]: We're here with Akshat, CTO of Modal, together with Vibhu. Congrats on your Series C.Akshat [00:00:10]: Thank you.Swyx [00:00:11]: Your party yesterday was amazing.Akshat [00:00:15]: Yeah.Swyx [00:00:15]: From all the photos and all the swag.Akshat [00:00:17]: We had a bunch of art installations, which was fun, seeing, like, our products on pedestals next to, like, Rodin.Swyx [00:00:25]: Very nice. Very nice. When you started, it was not the GPU inference company. Maybe it was in your mind. Take us back to the origin story.Modal's Origin: A New Runtime Beyond KubernetesAkshat [00:00:39]: I first met Eric, who's the CEO, through an investor. Back then Eric was already thinking about building, a new runtime, and he got there thinking through why are workflow orchestration products so hard to use. It's because you have to run them on Kubernetes. Kubernetes is hard to manage. It's not built for burstiness and, custom images,Swyx [00:01:03]: YeahAkshat [00:01:03]: It has a terrible developer experience.Swyx [00:01:05]: And I'll, I'll interjectAkshat [00:01:06]: YeahSwyx [00:01:07]: For listeners, who are new, we interviewed Eric two years ago, and there's a bit more of the story there from Spotify and all those things.Swyx [00:01:14]: And I came across Eric through Data Council because he did that talk on the serverless container stack that you guys did, which was like, that was my first like, “Okay, I need to take Modal very seriously” moment.Akshat [00:01:26]: Yeah.Swyx [00:01:26]: But it was still very unclear, like, do I need all this for just my data pipelines?Akshat [00:01:33]: Yeah. initially what we were thinking about was if we build a better runtime, it's a very useful primitive in itself. It's There's a lot of things that, get solved by serverless functions, like you can do, ETL stuff, you can do job queues, you can do all this, like, bursty processing, which it turns out every company had needs for. but then we also were thinking about this as like, this is a primitive that we can build a whole collection of products on, which are very verticalized. So perhaps data engineering would've been the first one, but we were thinking about inference. Back then it was more classical inference, like computer vision stuff and running XGBoosts and whatnot. But we added GPUs to the product a year before ChatGPT came out.From Serverless Containers to GPU WorkloadsSwyx [00:02:19]: Nice.Akshat [00:02:19]: We just didn't think it would be that big of a deal.Swyx [00:02:22]: Yeah, just like add A100.Vibhu [00:02:23]: Was there any, like, early key problem that really sparked off why you built it?Akshat [00:02:28]: Yeah. Primarily it's just, none of the tooling that was out there was built for, one, a really great developer experience, and also there's a general trend of, a lot of the workloads that we were seeing were very. I wish there was a better word for it, but compute-heavy. Like, they need, one, like, need a lot more resources, so you need to burst up and down a lot, versus like Kubernetes designed for, like, slow scaling and, more for, like, web server use cases. And also there's just a lot more specialization in, like, what kinds of environments these workloads run in. Like, we had sometimes they need accelerators, sometimes they need different kinds of images, and this is just like a consistent thing that we saw across a lot of companies. That would be the next step.Software-Defined Infrastructure and Decorator-Based DXSwyx [00:03:13]: Yeah. Yeah. Be nice. I don't know how much this factored into the early story, but I wrote a post when I was at Temporal about infrastructure, software-defined infrastructure or something like that.Akshat [00:03:22]: Yeah, the self-provisioningSwyx [00:03:23]: Self-provisioning.Akshat [00:03:24]: Yeah.Swyx [00:03:24]: Yeah. I can't even remember my own post.Swyx [00:03:26]: And then you put me on the landing page.Akshat [00:03:28]: Yeah. We really like, the term and so we stole it.Swyx [00:03:32]: Because you had the insight that everything can just be in decorators co-located with the code, right?Akshat [00:03:37]: Yeah.Swyx [00:03:37]: Was that a big part of the originalAkshat [00:03:39]: YesSwyx [00:03:39]: Story or it was just like a DX layer?Akshat [00:03:41]: That was, really important because we really didn't want people to spend, so much time, writing YAML, and it seemed like you could really condense the surface area of what you're doing, put it in code so you can operate on it just like you operate on other code, and like build stuff that's more expressive and dynamic. and so yeah, that was always a very important part.Swyx [00:04:04]: Then the pushback is this is a DSL.Akshat [00:04:07]: Yeah.Swyx [00:04:07]: It's you're closed source. I am locked into Modal.Akshat [00:04:11]: Yeah. We never really got pushback for that because the nice thing about Modal is you can bring whatever code you have, and sure, the DSL is at the configuration layer for, what hardware you're using, how you're scaling things up, but you still own the code.Akshat [00:04:27]: And that's, that's been an important, part of our story, even as we do inference now.Swyx [00:04:32]: Yeah.Vibhu [00:04:32]: How much of do you think still stays the same today? Like if you were to build something today, DevX very important, but I feel like, a lot of this has been changed with just hook it up to an agent, have Claude Code, have Codex implement a tool. there's very agent native primitives that are different than if I'm doing this myself, right?Developer Experience → Agent ExperienceAkshat [00:04:54]: We've changed our SDK team to think about agent experience instead of, developer experience and we think that the same benefits that apply for DX also apply for AX, which is why would you have an agent read through hundreds of Kubernetes files and like write YAML that's not even typed when it can make a couple of changes in a decorator and it gets this self-provisioning runtime of, being able to see its changes live in action? yeah, it just seems from the customers we talk to, they find Modal is much faster for agents to use versus operating on a different substrate.Swyx [00:05:34]: Yeah, because like you, again, you co-locate the infrastructure requirements to the code that runs it.Akshat [00:05:38]: Yeah.Swyx [00:05:38]: Well, the negative thesis now is that nobody's looking at their code anymore, so there's no point.Akshat [00:05:44]: Yeah, people aren't looking at code. one thing we still see is really important is observability.Swyx [00:05:51]: Yeah.Akshat [00:05:51]: Like how good is your dashboard? And of course, like we have, we push a lot of it to the CLI so the agents can do their own investigation, but you still need humans to go interpret what's going on and, make judgment calls and whatnot. and that's I feel like, Maybe more important now than looking at the code itself.Swyx [00:06:11]: Yes, because like, you can try to treat the code as a black box and then use, see the observable action that comes out of it, and then just prompt a change.What Modal Is For: AI Cloud PrimitivesAkshat [00:06:21]: Yeah.Swyx [00:06:22]: So I think it takes a bit of restraint to not specialize, to say, “I want to ship a new primitive,” and then just be general purpose.Swyx [00:06:31]: People ask you, “What are you for?” You're like, “ I don't know. We can do this, we can do that.”Vibhu [00:06:36]: Well, I'd be curious to see, like, okay, if we were to ask you, like, what is Modal for even at a high level? There's a lot you guys do, sandboxes, GPUs, everything. How do you answer?Akshat [00:06:46]: Modal is a cloud platform that's built for, where we've built the primitives from scratch for AI applications. and right now it covers, inference, training, batch processing, and sandbox workloads.Akshat [00:07:00]: But we're building a lot moreSwyx [00:07:02]: I noticed you didn't say web server, so there is still a role for, like, the always-on large-scale Kubernetes type things.Akshat [00:07:09]: Yeah, absolutely. We're, we're not trying to compete with the renders of the world, because yeah, we think the differentiator for us is the, are the workloads that need specialized compute, need to scale up and down a lot. yeah, they're, they're, they're just shaped differently.Working Alongside Frontier StartupsVibhu [00:07:26]: I think you're building a lot of it alongside the startups, right? They're innovating quite a bit, even in your, like, latest blog post. Like, even in the series C, the customers that you mention here, the cognitions, technical ones, ramps and whatnot, they're, they're innovating with you, right? And that's not something AWS is doing directly with.Akshat [00:07:45]: Yeah, absolutely. I think, this is again classic. We're a small team. We can move really fast. our engineers are working with our customers and figuring it out. Yeah.Swyx [00:07:54]: So my first week at Cognition, I walked in, there was someone wearing a Modal shirt. I was like, “What are you doing here?” They're like, “Yeah, I just. I am embedded inside of Cog.”Akshat [00:08:05]: Yeah, I think that was Peyton. We sent him overSwyx [00:08:07]: Yeah.Akshat [00:08:07]: Because, the latency of communication was too high otherwise.Swyx [00:08:12]: Yeah, distributed node, you have to - you have to place one and collocate.Vibhu [00:08:16]: Yeah.Swyx [00:08:16]: So I had a, I had direct personal experience, right? So I worked on smol developer three years ago. it was inspired by Claude 1. I think you onboarded me at some point, like, just before, and I was like, “Oh, like, I need some bursty compute. Like, I was just gonna try using Modal.” And it was a, it was a pretty pleasant experience. apparently, I showed up in the board meeting, like the analytics.smol developer, Sandboxes, and Proto-CognitionAkshat [00:08:39]: Yeah, you blew up on Hacker News and,Swyx [00:08:41]: YeahAkshat [00:08:41]: We got a big traffic spike. I. I think the way you used smol developer was Modal functions for running stuff, which was. Like, the, that was a good use case. but then, yeah.Swyx [00:08:53]: Yeah. That - So to me, that was proto-cognition.Akshat [00:08:55]: Right.Swyx [00:08:56]: If only I had, like, stuck to it.Swyx [00:08:58]: Like, that was like, if - did you say draw the tech treeAkshat [00:09:00]: AbsolutelySwyx [00:09:00]: You're just like, “Yeah, like, probably this will happen.”Akshat [00:09:02]: Yeah. Like, he was so close. You were just rebuilding upon usSwyx [00:09:04]: I just didn't realize.Akshat [00:09:05]: But the funny story there is at the same time, we were talking to a bunch of customers who needed something like sandboxing.Swyx [00:09:14]: Yeah.Akshat [00:09:14]: This is like twenty-three.Swyx [00:09:15]: Yeah.Akshat [00:09:16]: So we builtSwyx [00:09:17]: You introduced a new API right after that.Akshat [00:09:18]: Yeah.Swyx [00:09:19]: Yes.Akshat [00:09:19]: Like, we built sandboxes in May of twenty-three before anyone was even knew this was gonna be a thing. And the first example we published was, we took smol developerSwyx [00:09:28]: Smol developerAkshat [00:09:28]: And put it in a loop, so the agent can iterate on itself.Swyx [00:09:33]: Loops are hot these days.Vibhu [00:09:34]: It's the looper.Akshat [00:09:34]: Yeah.Vibhu [00:09:35]: Loops in. When was this, twenty-three?Akshat [00:09:38]: Yeah.Vibhu [00:09:39]: A small check.Akshat [00:09:39]: Yeah.Swyx [00:09:39]: It's like twenty-three. so the. the, those for listeners, like, the problem was the models are not built for any of this, right?Swyx [00:09:46]: Like, you're just trying to like. They're not post-training to understand, like, looping and, like, self-correction and tool calling was there, but, like, also not that great.Akshat [00:09:55]: Yeah.Akshat [00:09:55]: I don't remember if you used tool calling in this one, but yeah, the models would just diverge after like ten iterations and not produce anything meaningful.Swyx [00:10:03]: Yeah. But like, then. So okay, like now talking to myself three years ago, the answerVibhu [00:10:08]: Of course they will get betterSwyx [00:10:09]: Collect all the failures, build benchmark, and then collect all the, examples, build the RL environmentAkshat [00:10:15]: RightSwyx [00:10:15]: Sell it for like ten billion dollars to Meta.Swyx [00:10:17]: And then also train a model and then sell that for sixty billion dollars to Elon. And this isAkshat [00:10:23]: Yeah, of courseSwyx [00:10:23]: The funny machine. Like, it's like, it's about the hardware.Akshat [00:10:28]: It's hard to have that inherent conviction that the stuff will get that much better.Swyx [00:10:33]: In retrospect, it's so f*****g obvious.Akshat [00:10:36]: Fair enough.Swyx [00:10:37]: Like, what else were we doing back then? I don't know. anyway. Yeah. So this. That was the start of your sandboxing journey, right? I feel like it didn't blow up until, like, last year.Akshat [00:10:49]: Yeah.Swyx [00:10:50]: So there was like a couple years of quietness.Akshat [00:10:52]: Exactly, yeah. We wereVibhu [00:10:53]: I think very underrated product value. Like, my experience with Modal, Charles, before he had joined Modal, met this guy at a hackathon, and he really insisted we wanted to run some small model, not hosted anywhere, and he's like, “ there's this cool company, Modal. They'll like spin up a GPU sandbox, we can throw it on there. They'll take a Hugging Face link.” And like there's so much value just right there, right? Like instant hosting, spin it up, spin it down. It'll stay cold, but we run the demo a few days later, it'll come back up and like all this stuff in retrospect, like it's still what we needed like today.Akshat [00:11:27]: Yeah, it's still needed today. workload shapes have changed a lot as, we run stuff for people with really massive production scale and, there it's it's not about scaling from zero to one, but it's how do we scale really elastically, from like thousand to fifteen hundred GPUs very quickly in a given region. It's the same shape problem.Elastic Inference, GPU Autoscaling, and Custom ModelsVibhu [00:11:50]: Okay. So you look at, say, Cursor Composer, right?Akshat [00:11:53]: Yeah.Vibhu [00:11:53]: They had a. “We'll do RL on a model every couple hours.” you guys have a whole version of RL inference gym and whatnot.Vibhu [00:12:01]: When you look at workloads like that, you're doing train runs where you need to scale up, scale down every hour thousands of GPUs, right? That's the example for we do need it, right?Akshat [00:12:12]: Yeah. Well, so I'll, I'll take a step back and, maybe talk about like how people use Modal today. because our biggest use case is, elastic inference. And the thing we first found product market fit, with was inference for custom models. So we stayed away from the LLM space, and we were serving companies like Suno for audio, Runway for video, robotics, comp bio companies that train their own model elsewhere. But Modal is the best black box that for deployment, scaling to however many GPUs you need as your traffic pattern changes. And we saw all of them like have a very unpredict- predict- predictable, traffic pattern. it's like diurnal. It's Some days, like the company will do a launch and, they'll need like, way more. And it's not just one model that they deploy. They-- all these companies deploy, lots of different models in different regions, and so the autoscaling problem becomes even harder because then you have to scale within a certain region, and those cycles are offset. So different times you scale up in different regions.Akshat [00:13:20]: So that's like our sortVibhu [00:13:22]: And thatAkshat [00:13:22]: YeahVibhu [00:13:22]: That in and of itself is a huge category. There's a bunch of inference providers which, provide this fireworks, does this as a service together, whatnot, Base10. that's carved into its own niche for language models, at least right now.Akshat [00:13:36]: Yeah. the thing that we have specialized in is the autoscaling aspect.Vibhu [00:13:41]: Yeah.Akshat [00:13:41]: Because we found that it's not universally true that everyone else can autoscale, and we've gone deeper into it on the tech side by, we've incorporated GPU snapshotting into the product so we can take the GPU state, like your torch.compile model, snapshot it, and the next cold start is way faster. And so going back to your question, it's That's why you need a lot of burstiness for inference. But then people also do a lot of demand training, like for RL stuff, your rollouts are bursty, as you said. People also do a lot of batch jobs. So we'll see, a lot of companies, before they have a training run, they'll need thousands of GPUs to run encoding or something like that. And I think those things are much more bursty than. I agree that agents are not that bursty. sandboxes are, except when you're doing RL. RL is justRL, Batch Jobs, and 100,000 SandboxesVibhu [00:14:28]: Or commerceAkshat [00:14:28]: Insanely bursty.Vibhu [00:14:29]: Yeah.Akshat [00:14:30]: Yeah. Like when you're doing, rollouts, you sometimes need a hundred thousand sandboxes in your sandboxes.Vibhu [00:14:37]: Yeah. I'm curious if you've seen early sparks of continual learning. There are some people, like our friends, ngram, recently announced thisAkshat [00:14:45]: YeahVibhu [00:14:45]: They're, they're trying to do training. That also seems like a different workload, right? If you're doing training twenty-four/seven per se, there's a very weird dynamic of how you're using GPUs between people and whatnot, but seems like something you guys would work for.Akshat [00:15:00]: As you said, we're, we're fortunate to work with a number of, customers at the frontier and grab some of our customers. and they are taking the primitives we have, and trying to use them in very interesting ways, like continual learning. It's possible as the stuff gets better, some of that will be part of, our offering as well if, more people need it. but we're, we're just waiting to seeVibhu [00:15:23]: YeahAkshat [00:15:23]: How it shakes out.Vibhu [00:15:24]: Is there a primitive that you added after sandboxing that was the next step in the story?LLM Inference, DeFlash, and Speculative DecodingAkshat [00:15:32]: I guess we've been going much deeper into LLM inferenceVibhu [00:15:35]: YeahAkshat [00:15:35]: Because we realized that some of the advantages we have with like autoscaling, again, especially in different regions and whatnot, are, not present elsewhere. and the place where we had a gap was we weren't, working on the model layer itself. Like we were a black box. And, we realized that, we can get to frontier-level model performance, with, by having great people who work on this. And, we've been open sourcing a lot of our work, in terms of, Recently, we, shared our work on DeFlash, which is a block-based, speculator, and we've open sourced, all of it. So, you can - By using open source DeFlash, you can get the same performance as you would with one of the proprietary providers. And the next thing we're thinking about hereVibhu [00:16:23]: I thought this wasAkshat [00:16:24]: YeahVibhu [00:16:24]: An interesting blog post as well, right? Like, I think in here you make a claim that. Not a claim, just that how effective speculative deco-decoding really just get to.Akshat [00:16:33]: Yeah.Vibhu [00:16:33]: Anything you wanna point out from this around, what people should know?Akshat [00:16:39]: Yeah, absolutely. the high-level summary is, it would help to describe what speculative decoding is.Vibhu [00:16:44]: Yes.Akshat [00:16:44]: I will, yes.Vibhu [00:16:45]: I think, likeAkshat [00:16:46]: YeahVibhu [00:16:46]: So we've covered like Eagle and all thisAkshat [00:16:47]: YeahVibhu [00:16:47]: Like Hydra and all those things, but it was like two years ago.Akshat [00:16:51]: Yeah.Vibhu [00:16:51]: I think it doesn't hurt, right?Akshat [00:16:52]: Yeah. Speculative decoding is you have a smaller model, called a draft model, predict tokens ahead of the bigger model, and then you have the bigger model, verify all of this, all the tokens are predicted. And the reason it's faster is if you're predicting, one token at once, you're bound by memory bandwidth. But if you can batch the verification of, the draft model, then you're much more efficient using compute, and it's faster, and as long as your draft model is producing a lot of tokens that can get accepted, which is called the accept length, you can get a speed up that's, multiple times of, the original model speed. and well, that's what we highlight here. It's Like people talk a lot about we made these kernels faster and whatnot, but improving kernel will only give you like few percentage points of improvement, and, increasing accept length, literally is a multiplicative decreaseVibhu [00:17:47]: Like two to four X.Akshat [00:17:48]: Yeah, exactly.Vibhu [00:17:48]: Without much head-on performance.Akshat [00:17:50]: Yeah. I think it may - you are running a second model, right? So it may be something more expensive in the compute,Vibhu [00:17:57]: I meant quality performanceAkshat [00:17:58]: Probably not by muchVibhu [00:17:58]: But yeah. I thinkAkshat [00:17:59]: So there's no drop in quality performanceVibhu [00:18:01]: YeahAkshat [00:18:01]: Because you're always. You're never accepting a token that the big modelVibhu [00:18:04]: It's strictly betterAkshat [00:18:05]: YeahVibhu [00:18:05]: Or it's same.Akshat [00:18:06]: Exactly.Vibhu [00:18:07]: Right. Yeah.Akshat [00:18:08]: And so we've been working a bunch on DeFlash, which is a block-based speculator. so it's instead of predicting, one token at a time, it's predicting a block. And we've been open sourcing our work with it. The next thing for us here is for helping people train speculators and custom models. it's it's something that traditionally is very forward-deployed engineering driven, support deployed, engineer driven, like you work with customers and help them do that. And our vision for. This is why we launched Auto Endpoints, is we want to make frontier-level performance available to everyone. And so, we mentioned this in the announcement, we teased it. The next thing we're, we're launching is, as you run an auto endpoint, we shadow trafficAuto Endpoints and Frontier-Level PerformanceVibhu [00:18:54]: Do you want to explain what auto endpoints are?Akshat [00:18:57]: Yeah.Vibhu [00:18:57]: I lovely, yeah.Akshat [00:18:58]: Yeah. So, this is, I guess, going back to your Modal is you touch the code, but, sometimes people don't wanna touch the code, and they wanna get started with an endpoint that works and has all the great performance and, scalability that Modal has. So we've made that easier with, a way to create an endpoint from our UI, from the CLI, that has all of our optimizations that we talked about, like the DeFlash stuff already baked in, and there's full transparency. So we give you the code, you can go run it yourself, and if you want, you can eject out into the full Modal experience, which we see as people get sophisticated, they do wanna tweak the models, they wanna, fine-tune stuff. You can still do all of that. It's it's not a black box. And yeah, the next thing, as we teased later in the post, is how do we give you value even beyond this in terms of having your draft models evolve as your data distribution evolves, again, without having to talk to a person and, yeah.Vibhu [00:19:59]: I guess just to understand it directly, you have the GPUs, you have an endpoint that's compatible, you serve open model. If someone was to do this themselves, what's the delta that you guys provide? So you do a lot of open source great work on effective inference. how does it compare to, say, I take the same model, 5.2 FP8, take shelf inference engine, vLLM, SGLang, get compute of similar capacity, similar cost. What's the delta that plugging into something this, like this offers outside of the benefit of, scaling?Production Inference Beyond Raw GPUsAkshat [00:20:34]: It's interesting because we've taken the approach of open sourcing our contributions and upstreaming them. we work closely with the SGLang team. We want the improvements that our team, comes up with to be, there in open source for others to use, even outside of Modal. The benefit to us is we have a team that has significant expertise in terms of if you do have something that is not there, our team can help you get that performance, first. the other thing is with these endpoints, we are way more elastic, as you said, than, anyone else, and you have true scaling to zero. you have true, burstiness, and in practice, that matters a lot more to people than just finding, the GPU and, running Modal code on something.Vibhu [00:21:20]: Yeah. And I will say it's not that straightforward to just. like what I said is easier said than done, right?Akshat [00:21:26]: Yeah.Vibhu [00:21:27]: It's I think still for the average person, still hard to just gut check using different. There's, there's quite a bit of combinations you can make there. the trade-offs aren't really known at face value.Akshat [00:21:40]: Yeah. it's it's not just that. I think it's it's that running production-grade inference is a hard infer problem.Vibhu [00:21:49]: YeahAkshat [00:21:49]: Even if you subtract out the autoscalingVibhu [00:21:50]: YeahAkshat [00:21:51]: Is controlling things like tail latency and, making sure every, request is delivered at least once and whatnot.The Model and Agent LifecycleVibhu [00:22:00]: There's a lot of innovation that you can do here. I think, it's very interesting that you're starting to encroach on, like as you become a full cloud, you're starting to encroach on other people's turf.Vibhu [00:22:09]: What will you not do?Akshat [00:22:13]: Well, we wanna follow our users and, make sure they get like a platform that has everything that works well together. so right now we're focused on the model lifecycle and the agent, lifecycle. so both like going from data prep to training to inference, and then also if I want to deploy a background agent, let's say, sandbox, do persistent storage, a whole bunch of other stuff.Vibhu [00:22:38]: We talked to Cole, who did, OpenInspect. Yeah.Akshat [00:22:42]: Yeah.Vibhu [00:22:42]: And RealInspect also is on Modal.Akshat [00:22:44]: Yeah. So Ramp Inspect was a great example of a background agent that was really successful because they, were able to use some of the primitives like snapshotting and fast scaling to just have something that feels really reactive and works well.Ramp Inspect and Background AgentsVibhu [00:23:02]: Yeah. That's the new CTO of, Ramp right there.Akshat [00:23:05]: Yeah, Rahul.Vibhu [00:23:08]: It was really fun. yeah, okay, I think, all very bullish. Like, one of my reflections was also I did not originally. So when I met you guysThe Inference Inflection: CPU, GPU, and Co-LocationVibhu [00:23:19]: You weren't that much in the GPU game, and now you're all about, inference. And one of the points that I hinged on for Jensen's keynote at GTC this year was, what we're calling like the inference inflection, right? That let's say in AI workloads or machine learning workloads, it used to be like, let's call it eight to one GPU to CPU, and now it's more like one to one, which is like a interesting. Like, - because of how much agents are blocked or call out to this, to CPU heavy stuff the actual, like, limiting factor, like, swings back and forth from GPU to CPU a lot more than it used to be all GPU and then occasional CPU.Akshat [00:24:01]: Yeah.Vibhu [00:24:02]: GPU, CPU. And now it's like just constantly, and you just have to locate everything.Seventeen Clouds and the Supercloud StrategyAkshat [00:24:08]: Yeah. And that's one of the things that, again, we see as, something appealing about Modal, which is we've built this capacity pool that spans, 17 cloud providers, so we're, we're very good at Running on various kinds of cloud capacity across the worldSwyx [00:24:24]: You don't have your own data centers?Akshat [00:24:25]: We don't have our own data centers. We just run across a lot of neo cloudsSwyx [00:24:29]: Yeah. AreAkshat [00:24:30]: Metal providers.Swyx [00:24:30]: Yeah. Question mark.Swyx [00:24:31]: Yeah. You're, you're running the math, and you're like, “What's the cutover point where you're like.”Akshat [00:24:36]: Yeah, it's a good question. part of it is we see our differentiator in the software layer, and, being capital light and focusing on the software helps us move really fast. so far it's worked out well because there are so many other people building data centers that we're able to work effectively with them, and again, focus on what makes us, special.Swyx [00:24:55]: Yeah.Swyx [00:24:56]: 17 gets you into, like, the local providers sometimes. LikeAkshat [00:25:00]: The,Swyx [00:25:01]: Which was the most interesting one?Akshat [00:25:02]: There are a lot more neo clouds than you expect, and they all have various degrees of, various levels of reliability. And, that's why it's something we've invested a lot of time in, is building our own reliability layer on top. so if the GPU falls off the bus or something happens, we user workloads are not affected, and that lets us use a lot more capacity than,Swyx [00:25:30]: YeahAkshat [00:25:30]: You as a user would be able to.Swyx [00:25:32]: It's a useful thing to have because like now everyone knows, like, what layer you are and, like, you optimize for being the super cloud of all clouds.Akshat [00:25:41]: Yeah. That's, that's, that's the idea. and so I guess when you mentioned colocation, that's, that's another interesting thing where, one thing we've seen is people come to us when they want, very specifically located, CPUs or GPUs, like they wantSwyx [00:25:57]: Oh, they pin it in likeAkshat [00:25:58]: YeahSwyx [00:25:58]: EU?Akshat [00:25:59]: Exactly. Or EU, US.Swyx [00:26:01]: Right. Data resiliencyAkshat [00:26:02]: AustraliaSwyx [00:26:02]: Locality thing or performance or what?Akshat [00:26:04]: It's either data locality or latency, yeah.Swyx [00:26:07]: Yeah.Akshat [00:26:07]: Like, you want your. They're running sandboxes and model. They want them to be right next to aSwyx [00:26:10]: Yeah, it's easy thenAkshat [00:26:11]: YeahSwyx [00:26:12]: To. That is important in all those things. and so, like, you've accidentally, I don't know if it's accident, but, like, you've built the perfect primitive for agents to express themselves. And then, like, it's almost very funny how every extra development just involves more file system, just involves more CPU.Akshat [00:26:30]: Yeah.Swyx [00:26:31]: Just like the things that you already have. I don't know much about, if there's any, like, networking usages that are interesting, but you've also done some good work on networking.Networking, Sidecars, Private IPv6, and SandboxesAkshat [00:26:40]: Yeah, that's exactly right. Like, we're just taking compute storage and networking and building stuff on that layer, for, again, the stuff people need.Swyx [00:26:49]: YeahAkshat [00:26:50]: We see a few interesting networking things coming up. one is people want networked sandboxes. so we haveSwyx [00:26:57]: For like a Docker cluster type thing.Akshat [00:26:59]: Yeah.Swyx [00:26:59]: Sorry, Docker Swarm. Oh, f**k. What is it called?Akshat [00:27:02]: Compose.Swyx [00:27:03]: Compose type thing.Akshat [00:27:04]: Yeah. So if you want Docker Compose, our sandboxes now support, this thing called sidecars. So you can. A sandbox is a pod of containers, and you can run multiple containers in, a sandbox. also useful because, going back to networking, people want a lot of control over, outbound networking from a sandbox.Swyx [00:27:23]: Yeah.Akshat [00:27:23]: Like, they might wanna run a middle proxy for, like, maybe logging stuff for RL or, controlling how egress can happen to a domain, injecting credentials. and yeah. So we've, we've had to build a lot of that stuff ourselves.Swyx [00:27:38]: Yeah.Akshat [00:27:39]: But then also sometimes people want, sandboxes spanning multiple nodes to talk to each other, which is an emerging thing we're seeing. We have support for that for a different reason, and yeah, we'll see if that becomes stable.Swyx [00:27:52]: Like, just an open socket. It's a. This is directly like mTLS.Akshat [00:27:56]: We do support that, which is you can, expose a tunnel inside a sandbox.Swyx [00:28:01]: Yeah.Akshat [00:28:01]: And then you can either expose it to public internet or it can be, you can add like a HTTP, auth layer above it. But we have this thing called I6PN, which we haven't talked about, which is this, like, overlay network using IPv6 addresses. so if Modal containers, within the same workspace, when this is enabled, can address each other using this private IPv6 address, and no one else can.Akshat [00:28:28]: So it's like private networking, for containers. We built it because we needed it as a primitive for our distributed training product. so we have this other feature, which is you can add a decorator to a function, and you get a cluster of GPUs. and they have RDMA networking. so you can run a distributed training job, that's truly serverless. and we did the overlay network for that. But then we've seen that people are using it for other reasons, and, I'm intrigued to yeah, what would people do with it.Swyx [00:28:59]: Build primitives and let people figure it out, right?Akshat [00:29:01]: Yeah, exactly.Swyx [00:29:02]: You put out a pretty interestingAkshat [00:29:03]: They're like, they read the docs webpage. Let me use thatSwyx [00:29:06]: YeahAkshat [00:29:06]: Something they never intended to work. This is literally not even in our docs page. People somehow found it, and they're using it.RDMA, Memory Movement, and Distributed TrainingSwyx [00:29:12]: Huh.Swyx [00:29:14]: The way you portrayed it with, like, RDMA versus TCP, like, very well laid out, but just the transfer speed change at scale for RL, like yeah, you have it, you have it built in. I'm sure someone found it. It's found it to be a lot more efficient before you made a thing out of it, right?Akshat [00:29:32]: Yeah. And not to split hairs, I guess the overlay network is the TCP overlay network.Akshat [00:29:39]: The reason we have that is you need that to do the key exchange for RDMA before you set up the RDMA network on top of that. but then people found the TCP part.Swyx [00:29:48]: Can I tell you, this is like a big aha moment for me becauseAkshat [00:29:51]: YeahSwyx [00:29:51]: So I review 2,200 submissions for the World's Fair.Akshat [00:29:56]: Yeah.Swyx [00:29:57]: And then I got this from John OsterhoutAkshat [00:29:58]: HuhSwyx [00:29:59]: Who I don't know if. Do John Osterhout by name?Akshat [00:30:01]: The name sounds familiar.Swyx [00:30:02]: He published a. He's a well-known professor, published a lot of interesting software design books, and this is the talk he chose to submit, is on RDMA at Inference. And I'm like, you wouldn't think that this guy, who is like operating systems guy, would care about RDMA.Akshat [00:30:20]: I, it makes sense to me because I,Swyx [00:30:24]: This is the cloud, right? YeahAkshat [00:30:25]: Like, the way you move around your KV cache and how efficiently you can do it, how efficiently you move, your weights from your training GPUs to your inference GPUs in RL is there's a lot of degrees of freedom, and it is a systems problemSwyx [00:30:41]: YeahAkshat [00:30:41]: Moving memory aroundSwyx [00:30:42]: YeahAkshat [00:30:43]: Scheduling.Swyx [00:30:44]: This shows you how primitive my understanding of networking stuff is.Swyx [00:30:46]: Is this like the domain of WireGuard as well?Akshat [00:30:50]: Not quite.Swyx [00:30:51]: It's adjacent?Swyx [00:30:53]: Explain everything.Akshat [00:30:54]: Sure.Swyx [00:30:56]: How do we move memory around GPUs?Akshat [00:30:58]: Well, so sorry. Yeah, that is memory. Sorry, I was talking more, and maybe I was talking like five minutes back, about the private IPv6, addressing that you've set up.Swyx [00:31:09]: Yeah.Akshat [00:31:09]: Is it like it's a VPN?Swyx [00:31:10]: Yeah, it is like a VPN, and yeah, WireGuard is, yeah, you're right. It is,Akshat [00:31:16]: Right. Yeah, you already moved on to new topicsSwyx [00:31:17]: A similarAkshat [00:31:18]: OkaySwyx [00:31:19]: In the same space, WireGuard is, encrypted and this is,Akshat [00:31:23]: And you don't need encryption.Swyx [00:31:23]: Yeah.Akshat [00:31:24]: Yeah.Swyx [00:31:24]: This is not encrypted. that's the main difference. This is TCP and we have eBPF programs that will reject or allow the TCP connection based on whether you're allowed to do it.Akshat [00:31:35]: Used to involve a full sidecar, but now you have eBPF in the Linux kernel.Swyx [00:31:39]: Yeah.Akshat [00:31:40]: Yeah. I don't know if this is a natural follow-on to the topic of like my skepticism on distributed training is that while, like, people spend a lot of money on, like, cables to hook up GPUs, and even that is not, like, fast enough, and that's the bottleneck, is your networking fast enough?Swyx [00:31:59]: Yeah. So I guess you're talking about fully distributed training like, Dialog or something which is like cross data centerAkshat [00:32:06]: That would be, yes.Swyx [00:32:07]: That's the extreme.Akshat [00:32:08]: Yeah.Swyx [00:32:08]: You're in the middle, and then other people would have like the Mellanox cables up in, like, their actual data center.Akshat [00:32:14]: When you run multi-node training on Modal, RDMA, I think Mellanox, is, or InfiniBand is like a, is all seen as RDMA. but it's a way to bypass the TCP networking stack and, transfer, stuff much faster, between one node, to the other. And we have I think like 3 terabit per second, internal networkingSwyx [00:32:40]: OkayAkshat [00:32:40]: Which is the standard that's needed.Swyx [00:32:42]: Okay. So I misunderstood whatAkshat [00:32:43]: 50Swyx [00:32:43]: What part of the stack you wereAkshat [00:32:44]: 50 gigs overSwyx [00:32:45]: YeahAkshat [00:32:45]: If you wentSwyx [00:32:45]: YeahAkshat [00:32:46]: RDMA.Swyx [00:32:46]: Okay.Swyx [00:32:48]: Yeah. I, very impressive work.Multi-Node Training, Post-Training, and Auto ResearchSwyx [00:32:52]: So effectively you're extending like the model philosophy to the training cluster, like, yeah.Akshat [00:32:59]: Yeah. And we're, we're not going for like large scale training runs. the thing that we've built multi-node training for is, we see a lot of, smaller scale post-training. like, people are post-training like medium sized fund models, so they can, get higher quality on inference. this is a perfect fit, for something like that.Swyx [00:33:21]: Yeah. That is my impression of how a lot of these labs explore branches in post-training and then eventually merge whatever they find in.Akshat [00:33:31]: Yeah. The other use case we've seen for multi-node training is even if you have a big cluster, your researchers are still doing small runsSwyx [00:33:38]: YesAkshat [00:33:39]: Having elasticity thereSwyx [00:33:40]: Right, sureAkshat [00:33:40]: Matters a lot more.Swyx [00:33:41]: Yeah. the, like, this is like the current limiting factor for auto research, which is like you need to give your model some GPUs in order for it to completely run.Akshat [00:33:51]: We have a blog post on auto resource and model is,Swyx [00:33:55]: YeahAkshat [00:33:56]: Yeah, like, turns out to be pretty good substrate for that.Swyx [00:33:59]: So my impression is auto research means many things, likeAkshat [00:34:01]: YeahSwyx [00:34:01]: Anything that Andrej coins. Right now it's still science fair, right? Like not like, I don't know how many people are doing this.Akshat [00:34:08]: We're having a golf.Swyx [00:34:08]: Yeah.Akshat [00:34:09]: I thought the same thing.Swyx [00:34:11]: Yeah, you would know.Akshat [00:34:12]: We, like, our internal both training and inference teams use this the general shape of this quite a bit. like we have this one internal repo called auto inference, which essentially we've automated our own forward-deployed engineering efforts using, this harness, which is, the agent will just spin up a sweep of different things. It'll even run like, NVIDIA inside profiler and it'll like tweak configs and it'll arrive the right thing. it'll change your GPUs both from H200 to B200, and works really well.Swyx [00:34:47]: Nice.Akshat [00:34:47]: So yeah.Swyx [00:34:48]: By the way, I enjoy that your forward-deployed engineering is so technical that you have to do these things.Swyx [00:34:52]: It's very different from forward-deployed engineering from other people.Akshat [00:34:54]: Yeah. For our forward-deployed engineering team is, essentially they're like applied inference researchers or applied training researchers.Swyx [00:35:02]: Someone told me like they have to be able to build, but they also have to be able to sell. do they have to sell or are they like they're good, they're just like post-sale type of thing?Akshat [00:35:09]: It does, being able to talk to a customer and engage effectively with themSwyx [00:35:13]: YeahAkshat [00:35:13]: Matters a lot.Swyx [00:35:14]: They want the same thing.Akshat [00:35:15]: Yeah.Swyx [00:35:15]: ?Akshat [00:35:15]: But it's it's not really a sales, thing. We pair them with-- We have solution architects as well that are more on the sales side.Swyx [00:35:23]: Okay. Let's spend a bit more time on auto research. This is a big focus for for this year. Where does this go? like, have people explored enough? Like, there's all these beautiful charts of like improve and then level off a bit and then you find the next thing. Is this one abstraction up from normal training? Is that how we think about it, or do you think about it differently? Like model level training versus high, like driven hyperparameter search.Auto Inference and Modal BenchAkshat [00:35:51]: Yeah, like,Swyx [00:35:51]: Someone, some people call it like neural architecture search or whatever, right? Like.Akshat [00:35:54]: Yeah, - So the stuff I've seen people do with it is nowhere on the architecture level. It's pretty much tweaking parameters, but it's it's a hyperparameter sweep that's guided by some model intuition, so it's like much more efficient than, whatever other, sweep you would have.Swyx [00:36:12]: Yeah, it's just, it's just a question of where you want to spend your compute?Akshat [00:36:16]: Right.Swyx [00:36:16]: ‘Cause yeah, you can just throw infinite amounts of money on this and somehow you'll bang out Shakespeare?Akshat [00:36:22]: Yeah, infinite monkey.Swyx [00:36:24]: Yeah, so like the very good for model. and I think it's also very important that agents can spin up other agents, can spin up their infrastructure. Like very good for you. how good is our LLMs at generating model code? Like the benefit of existing LLMs is that you are in the data.Akshat [00:36:42]: Yeah. They're, they're surprisingly good. I think like pre Cloud 4 they were not, and then now they're able to shot, stuff out of the box. But we're playing around with releasing like a Modal Bench for like the harderSwyx [00:36:55]: YeahAkshat [00:36:55]: Things, that the LLMs cannot do yet and maybeSwyx [00:36:59]: What's an example of that?Akshat [00:37:01]: I think the things that- Sometimes agents struggle with, without right guidance and a skill is, how to, use the rest of our observability. Like how to. Something is failing, like how do you look at the logs and then update the right thing? It's reasoning about that. But they're able to shot, likeSwyx [00:37:23]: Yeah. You can just add a skill to it?Compute Strategy and Capacity PlanningAkshat [00:37:26]: Yeah. So we have a Modal skill now that. Which is why we built this Modal Bench. It's to find things like that, so we can address them in our tool.Swyx [00:37:35]: Tune a skill. Yeah.Akshat [00:37:36]: Yeah.Swyx [00:37:36]: No. it's it's good. are you facing any shortages? like we talk a lot about GPU shortages, but also CPU, also memory.Swyx [00:37:44]: Yeah.Akshat [00:37:45]: We have had a lot of growth, which means that, there's - we've had to be much better aboutSwyx [00:37:53]: PlanningAkshat [00:37:54]: Proactive capacity planning.Swyx [00:37:55]: Yeah.Akshat [00:37:55]: So we have,Swyx [00:37:57]: Which by the way, like it's like a MBA's like dreamAkshat [00:38:00]: YesSwyx [00:38:00]: Is like just planning this stuff. I think last time you and I talked about something maybe about this.Akshat [00:38:03]: Yeah. we have a really competent team of people that we call, The role is called compute strategy. so yeah, if anyone listening here or wants to work on thatSwyx [00:38:13]: Compute strategy?Akshat [00:38:13]: Yeah.Swyx [00:38:14]: I think,Akshat [00:38:14]: I feel like,Swyx [00:38:15]: I think the normies call it FP&A or something.Akshat [00:38:18]: Well, it's more It's it's not FP&A. It's it's There's a lot of interesting financial questions of like what is the blend between one year and three-year reservations? how do we forecast our own capacity? how do we. especially since our capacity is very fungible across different GPU types and different regions, like you have to model a lot of it. and you also have to have an opinion on how the supply chain is gonna evolve, and then you have to like, take bets,Swyx [00:38:49]: YeahAkshat [00:38:49]: Based on that.Swyx [00:38:50]: Tokenomics.Akshat [00:38:50]: Yeah.Swyx [00:38:51]: This is like probably a not a real point, but, I was trying to think about like what other industries. I was trying to think about like, we cannot be first to like these kinds of problems.Akshat [00:38:59]: Yeah.Swyx [00:39:00]: And what other industries have had this? And I was like, airlines with fuel and like they have to hedge their fuel and like, I think for a long time Southwest because they made like a hero fuel bet, they like were like super low cost becauseAkshat [00:39:12]: OhSwyx [00:39:12]: Compared to everyone else.Akshat [00:39:14]: Yeah. I hadn't thought about that.Vibhu [00:39:16]: We're at a fun time too?Akshat [00:39:18]: Yeah. It's. A lot of the compute business in general, for us is also about being very good about capacity management. That is how you have great unit, economics. but also over time it's how you can unlock more value for customers. Like, one of the things we're building now is like a way for customers to get, If they don't care about latency, like get much cheaper pricing and they'll get results back in like next 24 hours or something, like a batch tier essentially.Batch Tiers and Latency-Insensitive WorkloadsSwyx [00:39:47]: Yeah.Akshat [00:39:47]: And those are levers we have because we control the whole stack and scheduling and whatnot to give people a sufficientSwyx [00:39:53]: Yeah. I feel like they're not as popular. Like those, like the Frontier Labs have all those APIs. They're not as popular as they should be.Akshat [00:40:00]: The demand that we see for something like that is not for LLMs. although sometimes people wanna run evals andSwyx [00:40:08]: OkayAkshat [00:40:08]: Synthetic data prep and there it makes sense.Swyx [00:40:10]: Okay.Akshat [00:40:11]: But it's from a lot of LLM companies, like people who are doing computational bio, like they have to run really big batch jobs and they don't care about when they get it back.Swyx [00:40:22]: Yeah. And like they have a reasonable. It's it's also like a cousin to the stopping problem of like, will this finish in time?Akshat [00:40:30]: Yeah. You can bound it.Swyx [00:40:33]: Yeah.Akshat [00:40:33]: Like you can give peopleSwyx [00:40:34]: YeahAkshat [00:40:34]: SLAs on it.Swyx [00:40:35]: Yeah. I think what's, what's interesting is like the next phase of model.Swyx [00:40:38]: Like what, do people expect from you, now that you're established and you're like well-known compute player among all these leading companies. You had an inference launch week, and we talked a little bit about the launches. like what else? Like what else should people know?What Modal Builds NextAkshat [00:40:55]: We are building primitives that make our users' lives much easier. So, I think for example, with LLM inference, thousands more companies are gonna post-train their own models and, deploy open source models for inference. so we're thinking a lot about what is the best product shape for that. And, that involves everything from our training gym to, then, endpoints that get frontier-level performance. again, but I haven't talked to anyone. It looks somewhat different on other verticals. Like, we're also seeing a lot of real-time, audio-video stuff in there, which is why like, we're working on things like regional routing, with fallbacks. So you can get GPUs that are as close to users as possible. so you get like low latency for video streaming and whatnot. And then on the agent side, it's,Akshat [00:41:52]: We're still working very closely with our customers because stuff is changing so fast in terms of what they need. And, I think beyond sandboxes and persistent file systems, there's a lot of other things people will need from this agent stack as they build production agents. So yeah, we're thinking about those other things that fit in there.Swyx [00:42:13]: I want to ask what the other things are.Akshat [00:42:15]: Yeah. I probably should share right now.Swyx [00:42:17]: I think-- I think, okay, so, I do think a lot about the principal components of cloud, and you do talk about compute storage networking.Akshat [00:42:25]: Yeah.Swyx [00:42:25]: Because so far for me, it's fine. so far for the. the first couple generations of cloud, it's fine. What's different, qualitatively different about agents that you need some new permission level? Like a lot of people, okay, and I'll just kinda spew tokens at you until it like hopefully sparks something.Akshat [00:42:43]: Yeah.Swyx [00:42:44]: Like the new level now is whatever Claude Code does, which is dangerously scope permissions or like allow list by command or like whatever, right? And sometimes they're like, “Well, okay, we have like this adaptive thinking mode where like, just trust me, bro. I will make the calls for you.” Is that it? like mediated permissions.Hard Guardrails vs. LLM-Mediated PermissionsVibhu [00:43:03]: Now you're looping it with a goal and letting it roll.Akshat [00:43:06]: Yeah, I'm, I'm skeptical of LLM media permission for stuff that is at the sandbox level because you do want hard boundaries.Swyx [00:43:16]: Yeah.Akshat [00:43:16]: Otherwise, someone can exfiltrate stuff.Swyx [00:43:20]: But likeAkshat [00:43:20]: YeahSwyx [00:43:20]: Maybe that's old school thinking. Maybe we're the dinosaurs.Swyx [00:43:23]: Maybe the AI OS or the LLM OS is really the kernel is a goddamn LLM.Swyx [00:43:30]: Like it makes you feel uncomfortable.Akshat [00:43:31]: Yeah, I'm, I'm toldSwyx [00:43:32]: But that's what trusting the LLM is. Like imagine a spherical cow perfect LLM.Akshat [00:43:36]: Right.Swyx [00:43:37]: That it.Akshat [00:43:39]: Maybe.Swyx [00:43:41]: I wanna test the boundaries, right?Akshat [00:43:42]: Yeah.Swyx [00:43:42]: Like, and I don't believe that, but I wanna see where I'm wrong ‘cause that's, that's the consensus.Akshat [00:43:49]: Yeah. I think you always need hard guardrails when you want, And you can pair those with softer guardrails, right? And that's gonna be a lot of mediated.Managed Agents and Specialized SandboxesSwyx [00:44:00]: There. I'll also get you a end with a couple of your commentary on like the ecosystem outside of Modal. Manage agents. Everyone has one. Gemini, OpenAI, Claude, very useful for you, but also like it is their way of starting to edge into your space.Akshat [00:44:17]: Yeah.Swyx [00:44:17]: What's going on?Akshat [00:44:19]: Yeah, we're, very excited to partner with Anthropic and some of the other foundation labs, will not name who we're also working with. the way we see it is the manage agent thing is a great place to start if you're starting out building an agent and, But then when you get to, building something more production grade, like you're a company that's like Ramp that's building their own, Ramp also runs their accounting agent on us, so their external-facing agent. You need a lot more control over, your compute primitive on things like, what sort - how do you persist different files that the agent has access to, and how do you snapshot and restore? How do you control the networking? maybe you want GPUs. When you get to that point, you kinda want, a specialized sandbox provider, that gives you those things, and that's the role that we are trying to play.Swyx [00:45:15]: YeahAkshat [00:45:16]: We don't really have an opinion on the harness, whether it runs - it's a cloud-managed agent, and you hook it up to Model Sandbox, or you run the harness in Model Sandbox. We'll see where people converge with that.Swyx [00:45:26]: Yeah. Do you any opinions on like the meta harnesses, or just another layer on top of these things?Akshat [00:45:31]: You mean like the OpenPipeSwyx [00:45:33]: OpenPipe is one. I think Vercel had one, which I can't remember the name of right now. Fredshot had one. and then, to me, most recently was Data Databricks that had Omnigen. All these are meta harness. Like it's kinda pseudo agent cloud type things.Akshat [00:45:50]: I personally have not played around with them.Swyx [00:45:53]: Yeah.Akshat [00:45:53]: Build agents with them.Swyx [00:45:54]: Everything's bullish Modal, as long as it consumes more infra.Akshat [00:45:57]: That's why we're focusing on the infra layer. It's somewhere where our, relative competence is and, also it's a hard problem to solve.Swyx [00:46:06]: Yeah. I will say like just generally reflecting on that, I don't know if - if there's other topics on Modal, but like just generally reflecting as an infra person, not as intense as you, but in that field, this has like been the most exciting time in infra. Like it was boring for a while, and you couldn't really get people excited about data infrastructure. Like Eric would get on Data Console, everyone just watched the video and like say, “Look at how many sandboxes I can spin up,” and no one gave a crap.Why Infrastructure Became Exciting AgainAkshat [00:46:39]: Yeah.Swyx [00:46:40]: And like now everyone gives a crap.Akshat [00:46:42]: That's true. It is a very exciting time, and I think a lot of that's driven by just the amount of scale all of this stuff needs.Swyx [00:46:50]: I think the, like a lot of your initiatives or a lot of your like product directions make sense in retrospect, which is like the best kind, but I wouldn't necessarily have thought about it myself, which.Akshat [00:47:00]: We need the predictions.Swyx [00:47:02]: I think there's a lot that you just don't even see, right? Like you have the batch, you have the voice, you have the multimodal, but what else?Akshat [00:47:10]: What else is coming up for usSwyx [00:47:11]: Yeah. Where do you see things going?Akshat [00:47:13]: Yeah. I, in generalBiotech, Robotics, and Non-LLM AI WorkloadsAkshat [00:47:15]: It's it's clear that there's there's a huge shift happening. I think one thing that's not as obvious to people because LLM inference gets talked about so much and is also we work a lot of companies that are, doing things like drug discovery and computational bio, like the Chai Discoveries of the world. Big things are probably gonna happen there. we work a lot of robotics companies that are putting robots in like active deployments and getting good results out of them.Swyx [00:47:45]: Is there Air Gap Modal? Is there a version that is like prem air gapped whatever?Akshat [00:47:50]: No. We,Swyx [00:47:51]: You should cloud only.Akshat [00:47:51]: Yeah.Swyx [00:47:52]: Yeah. Okay. But yeah, so what you're saying is like because you're focused on primitives and they're good primitives, you find use cases in all these kinds of things.Akshat [00:48:01]: Yeah.Swyx [00:48:01]: Probably diversifies you a little bit away from LMS all the time.Akshat [00:48:05]: Yeah, absolutely. We're, we'- our goal isn't to only serve the LLM inference market.Swyx [00:48:10]: There are a lot just on the website, the audio,Akshat [00:48:12]: Yeah. We said both onSwyx [00:48:14]: Computational bio images. Yeah, there's a lot here. There's QTA TTS, customizing. Oh, Chatterbox. there was customizing Whisper.Akshat [00:48:24]: Okay. Yeah.Swyx [00:48:25]: This screen reminds me of a fallen competitor, which Replicate.Model APIs vs. Differentiated AI ProductsSwyx [00:48:31]: What's your postmortem on what happened?Akshat [00:48:34]: This is one thing we've stayed away from is providing an API for models because I think providing model APIs is some of it ends up serving like a really hobbyist market, which is much less sticky.Swyx [00:48:50]: Yeah.Akshat [00:48:50]: And we've always wanted to build for companies that are building products and need more flexibility that's not just an API.Swyx [00:48:57]: Which you can build an API for a model and this is clearly what it is. But you - but what you're saying, you can wrap it into a more fully functioning back end that you run.Akshat [00:49:06]: Yeah. So all of our examples, it's not that spin up this model, here's an API token, use it. They're all code.Swyx [00:49:13]: Okay.Akshat [00:49:13]: And so the point is that this is just an example.Swyx [00:49:16]: Starter code.Akshat [00:49:17]: Yeah. But you can tweak it however you want.Swyx [00:49:20]: Yeah.Akshat [00:49:21]: And if you're like a company building a product, like, computational bio whatnot, yeah.Swyx [00:49:26]: I guess I'm trying to tease out for listenersAkshat [00:49:28]: YeahSwyx [00:49:28]: When does it stop becoming, oh, you're just an API call and you're just a wrapper on API to becoming what you call a product, right?Swyx [00:49:36]: Like, what is that layer? Like what-- Like, more lines of code, but like beyond that, what is the substance that people add that qualifies it to be something more?Akshat [00:49:46]: I think there's a little bit of like a selection effect of like a lot of the companies who do wanna get deeper into that level are probably building something that's more differentiated. And, I think, an example is like - with LLM inference, originally we, worked with companies that were building their own post-training frameworks or they were, - Ramp early in the day was training their own tokenizer and like swapping out the tokenizer in Llama and whatnot. I'm not saying that's, that successful, in that case. But a better example is like, let's say Suno. because Suno, does not use Modal for training.Swyx [00:50:26]: Mikey on the pod. Yeah.Akshat [00:50:27]: But they use Modal for all their inference and that's because they have like a custom-- They have completely custom model architecture and that means that they have to be at the code level and tweak things that are not, just an API.Swyx [00:50:41]: It's interesting as well, like we had, Ethan, most recently on the xAI Groq team make a prediction that like the next tier in video gen is not a better video model, it's a better model or agent that orchestrates video models.Video Agents and Production WorkflowsAkshat [00:50:56]: Oh, interesting.Vibhu [00:50:56]: Language model backbone that can use toolsAkshat [00:50:58]: RightVibhu [00:50:59]: And write code.Akshat [00:51:00]: Like, yes, I can make my second video or my second video from Groq, but I want my minute video.Akshat [00:51:06]: And I'm not going there through normal video gen.Swyx [00:51:10]: Yeah, that's interesting. I - So we have GPU sandboxes and recently have seen a few companies doing agents that do video manipulation or,Akshat [00:51:22]: Yeah. Give it FFmpeg and just do it.Swyx [00:51:23]: Run FFmpeg. But likeAkshat [00:51:25]: That's not enough.Swyx [00:51:25]: Yeah.Akshat [00:51:26]: You need to give it Adobe.Swyx [00:51:27]: Yeah, I hadn't put it together with like it would be a video production thing. in my mind these things were going more towards editingAkshat [00:51:36]: Yeah.Vibhu [00:51:36]: Well, shout out Mantis.Akshat [00:51:37]: I think about this a lot.Swyx [00:51:38]: .Akshat [00:51:41]: Yeah. Sorry.Vibhu [00:51:41]: Luma. Luma Agent is a version of this for video production, but it's a off.Swyx [00:51:46]: I was gonna get your quick takes, on some other stuff that happensGitpod/Ona, CI, and Runtime SandboxesSwyx [00:51:50]: In recent news and just-just see if you have anything interesting. Gitpod, very li

CERT/CC warns of an unpatched Tenda router backdoor. Adobe races to patch an actively exploited ColdFusion flaw. Canada pulls back the curtain on offensive cyber operations. Anthropic quietly removes hidden tracking from Claude Code. Chinese AI gains momentum as U.S. providers sweeten the deal. U.S. cloud firms challenge South Korea's new security rules. Microsoft's device telemetry helps unmask an alleged Scattered Spider hacker. And Spanish police arrest an alleged pro-Russia hacktivist.Orla Daly, CIO at Skillsoft, discusses if AI is already bypassing its own guardrails and why most organizations aren't ready. The stochastic parrot is back, and it's tired of being misquoted. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest Today we are joined by Orla Daly, CIO at Skillsoft, discusses if AI is already bypassing its own guardrails and why most organizations aren't ready. Selected Reading Hidden Tenda Router Backdoor Grants Admin Access, No Patch Available (Security Affairs) Hackers Exploit Maximum Severity Adobe ColdFusion Flaw (Infosecurity Magazine) Canadian spy agency says it hacked drug traffickers, extremists, and a ransomware gang last year (TechCrunch) Secret Claude tracker shocks users after Anthropic's anti-surveillance stance (Ars Technica) Chinese AI models are gaining ground with U.S. companies as OpenAI, Anthropic costs surge (CNBC) AI Giants Are Handing Out Tons of Free Computing Power to Grab Startup Share (Wall Street Journal) U.S. Big Tech raises concerns over Seoul's proposed cloud security rules (Korea JoongAng Daily) Microsoft device telemetry key to unmasking alleged Scattered Spider hacker (iTnews) Spain collars alleged pro-Russia hacktivist after FBI tip-off (The Register) What Emily Bender Really Meant by "Stochastic Parrots" (IEEE Spectrum) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

Cristina y Luis empezaron sin vender casi nada y hoy viven del stock. En este episodio nos cuentan sin filtros cómo lo hicieron: aprovechar las misiones de Adobe para construir su portfolio a coste cero, compartir sesiones para no rendirse nunca y apostar por contenido comercial de verdad. Números reales, errores, vídeo vertical, conceptos que se venden y el poder de tener un compañero de sesiones. Un episodio para quien empieza de cero y quiere saber qué funciona hoy. ¿Quieres entrar en la Academia de Stock? Apúntate a la lista de espera → https://stockeros.com/lista-de-espera/

Many corporate marketing teams see poor campaign performance because their digital content gets lost in an online landscape filled with repetitive automated templates.Govind Balakrishnan, Senior Vice President of the Express Product Group at Adobe, breaks down how to build high-performance creative pipelines by balancing automated layout tools with distinct human voice.He shares his framework for navigating modern consumer attention trends, utilizing fast generative prototyping systems to build clear video proof-of-concepts, and deploying natural language design interfaces to streamline multi-market asset production.Key discussion topics include:Using advanced design platforms to free up creative strategy time for human teams.Weaving unique perspectives and brand identities into automated content production chains.Running fast prototyping video generation tests to de-risk marketing spend.Managing content quality goals as digital media distribution channels grow more crowded.Modifying creative design fields using direct two-way conversational text commands.Govind Balakrishnan is the Senior Vice President of the Express Product Group & Digital Media Services at Adobe, leading engineering and cloud ecosystem consolidation.Connect & Optimize Your Creative Workflows:Follow Govind Balakrishnan on LinkedIn: https://www.linkedin.com/in/govindbalakrishnan/Explore Adobe Express Features: https://www.adobe.com/express/Automate Performance Marketing Channels with Strike Social: https://strikesocial.com/guaranteed-paid-social-media-ads-outcomes/Connect with Host Dylan Conroy: https://www.linkedin.com/in/dylanconroy/

Marvell (NASDAQ: MRVL) stock has surged since Jensen Huang called it the next trillion-dollar company — we ran a reverse DCF on the Q1 FY2027 earnings to see if the rally is justified.Marvell just posted record Q1 fiscal 2027 results, with revenue up 28% year-over-year to $2.4 billion and guidance pointing to 35% growth next quarter. As a fabless chip designer and IP licenser, Marvell is riding two major tailwinds: hyperscaler demand for custom AI chips (ASICs and XPUs) and networking systems that interconnect GPUs across data centers, including a growing partnership with NVIDIA via NVLink.We break down the earnings report, the CFO transition to Dan Durn (formerly of Adobe and Applied Materials), the balance sheet impact of the Celestial AI acquisition, and rising share dilution from recent deals. Then we run a reverse discounted cash flow analysis on Marvell at its current price to determine what growth rate is already priced in, and whether the semiconductor cycle and AI infrastructure buildout can realistically support it.If you're weighing whether Marvell is still a buy after this rally, or looking for better value elsewhere in the semiconductor supply chain, this one's for you.Semi Insider members get access to our full research platform and tools, plus deeper research as it happens. Join at chipstockinvestor.com.Get 15% off your Fiscal.ai membership with our link: fiscal.ai/csiContent in this video is for general information or entertainment only and is not specific or individual investment advice. Forecasts and information presented may not develop as predicted and there is no guarantee any strategies presented will be successful. All investing involves risk, and you could lose some or all of your principal.CSI doesn't own shares of Marvell.

Episode 489 of the Lens Shark Photography Podcast In This Episode If you subscribe to the Lens Shark Photography Podcast, please take a moment to rate and review us to help make it easier for others to discover the show. Sponsors: - Build Your Legacy with Fujifilm. Latest savings at FujfilmCameraSavings.com - Shop with the legends at RobertsCamera.com, and unload your gear with UsedPhotoPro.com - Benro's special edition America 250 MiniMax at BenroUSA.com - Godox's Summer Savings! - More mostly 20% OFF codes at LensShark.com/deals. Stories: Leica's new 44 megapixel SL3-P. (#) A new twist on and old lens from 1987. (#) Tamron's excellent 17-70mm f/2.8 comes to 2 more mounts. (#) Adobe makes a key acquisition. (#) Fujifilm opens it's GFX Challenge Grant Program 2026. (#)   Connect With Us Thank you for listening to the Lens Shark Photography Podcast! Connect with me, Sharky James on Twitter, Instagram Vero, and Facebook (all @LensShark).

Welcome to the very first episode of Ran-Dumb Tech Talk, where Marcus Johnson and Alex Hunter break down technology in plain English—no buzzwords, no corporate hype, just real conversation.This episode tackles two of the biggest questions in modern tech:

In this episode, Jared & Stephen discuss Adobe's latest acquisition of Topaz Labs, how people shouldn't be scared of noise and "digital grain," Sony's next rumored cameras that are apparently coming soon including the FX5 and RX10 V & more! Text us with any thoughts and questions regarding this episode at 313-710-9729. This is RAWtalk Episode 203! Subscribe and listen to The Daily Fro on Spotify and Apple Podcasts

In this episode of The GaryVee Audio Experience, I sit down with Laura Desmond, CMO of Adobe, at Cannes 2026 for a Marketing for the Now conversation. We get into why experience maxing — IRL, in real life — is mattering more than ever, why VaynerX bet the farm on becoming an experiential agency, and why AI tools will get commoditized at scale exactly the way big data did. I share the Photoshop history lesson every fearful creative needs to hear, why the human matters more in an AI world, not less, and the jungle-gym career advice every young marketer should be writing down.You'll learn about:• Why Experience Maxing (IRL) Is Mattering More Than Ever• Why the Human Variable Matters More, Not Less• The Humility to Take a Step Backwards

Jarrod Lopiccolo - Co-Founder, CEO - He transforms brands with creative digital performance marketing. He has built a global agency serving Adobe, Google, and Disney—earning accolades from Inc. and Ad Age. A dynamic speaker with 100+ engagements and 40+ podcast appearances, he delivers insights leaders can apply instantly. Jarrod's stories captivate CMOs, founders, and teams looking to drive revenue, performance, and innovation.Connect with Jarrod here: https://www.linkedin.com/in/jarrodlopiccolo/https://www.facebook.com/noblestudios/https://www.instagram.com/noblestudios/https://noblestudios.com/Don't forget to register for our free LinkedIn Content Creation Workshop here: https://www.thetimetogrow.com/LinkedInContentRoadmap

Why Ask Credentials If There Are Secret Codes? https://isc.sans.edu/diary/Why%20Ask%20Credentials%20If%20There%20Are%20Secret%20Codes%3F/33118 Adobe Patches and Updated Patch Release Policy https://helpx.adobe.com/security/Home.html https://blog.adobe.com/security/protecting-customers-faster-how-adobe-is-responding-to-ai-accelerated-vulnerability-discovery Google Chrome Update (link had issues loading while recording) https://chromereleases.googleblog.com/2026/06/stable-channel-update-for-desktop_0175352312.html Apple Hide My Email Vulnerability https://www.404media.co/apple-hide-my-email-vulnerability-reveals-peoples-real-email-addresses/ My Upcoming Classes https://www.sans.org/profiles/dr-johannes-ullrich

The US restores exports of Anthropic's most advanced AI models. Adobe and Citrix rush out critical patches. RustDuck emerges as a fast-evolving DDoS threat. The Gentlemen raise the stakes with a new EDR-killing exploit. Rocket lab bets big on Iridium. Researchers unveil browser-only ransomware. New Zealand faces questions about its cyber readiness. Iran's long-running cyber espionage campaign is back in the spotlight. Our guest is Donald Codling, CISO and senior advisor to REGO on cybersecurity and data privacy matters, to discuss the importance of tying security by design to psychological safety and digital trust. VIP backstage access, courtesy of Claude. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest Today we are joined by Donald Codling, CISO and senior advisor to REGO on cybersecurity and data privacy matters, to discuss the importance of tying security by design to psychological safety and digital trust. Selected Reading Fable and Mythos: Anthropic says US lifts export ban on its advanced AI tools (BBC) Adobe patches seven max severity ColdFusion, Campaign flaws (Bleeping Computer) RustDuck: The Botnet That's Still Small but Engineering Like It Plans to Grow (SecurityAffairs) Citrix Patches NetScaler Vulnerabilities, Including New ‘HTTP/2 Bomb' Attack (SecurityWeek) Not very gentlemanly: Analyzing a zero-day exploit used by The Gentlemen ransomware to disable targets' EDRs (Expel) Rocket Lab to Acquire Iridium in Historic Deal, Creating A Fully Vertically Integrated Space Powerhouse Primed for Growth (Globe Newswire) Ransomware that runs inside your browser tab, where antivirus cannot see it (Suriq) Three major cybehttps://suriq.io/blog/browser-only-ransomware-file-system-accessrattacks have raised alarms about New Zealand's security (RNZ) Arrest of Iranian Hacker Spotlights Iran's Movement into Economic Espionage and IP Theft (Zero Day) Claude Helped a Hacker Find a Way to Issue Tickets to Almost Every US Music Festival (WIRED) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

Kevin cover and discusses the following stories: Adobe reported the results of last week's online spending during Amazon's Prime event, as well as overlapping promotions by Walmart and Target; Nestle announces major changes to their ingredients across all products worldwide; Aviation Expert, Jay Ratliff, joins the show to talk about airline news and summer travel tips; The Conference Board released their Consumer Confidence Index; the U.S. Labor Department reported Job Openings, Hires and Quit Rates; oil prices react to Peace Talk host Qatar reported that "high level" talks will not take place in Doha but "technical talks" will and analyst's estimates of crude inventory inventories; Phil Flynn, Senior Analyst, PRICE Futures Group, has some interesting comments in his Energy Report, Kevin has the details, digs into the data, puts the information into historical perspective, offers his insights and a few opinions along the way. See omnystudio.com/listener for privacy information.

Not every client or firm lives in InDesign. And sometimes, for whatever reason, you're not able to use the Adobe Creative Suite programs, but still have to produce a presentable product. It may not be ideal, but it's going to be okay.In this episode of The Short(er) List, Becky sits down with Grace Takehara to talk about a reality every AEC designer eventually faces: the dreaded Word doc, the pesky PowerPoint deck, or the well-intentioned Canva link. How do we make the most of these tools and create something polished and professional? We have ideas.Becky and Grace dig into how to make the Microsoft and non-Adobe programs work harder than they're given credit for, how to overcome technical limitations, and how to keep your design standards intact even when the software is fighting you the whole way.This one's for every designer who's ever opened a proposal in Word or presentation in PowerPoint and felt their soul leave their body—and who made their peace, made it work, and lived to tell the tale.

GPT 5.6 arrive avec Sol, Terra et Luna, mais l'accès aux modèles les plus puissants reste contrôlé par Washington. Grok révèle un usage très NSFW de l'IA, Anthropic accuse Alibaba d'avoir copié Claude, Apple et Microsoft augmentent leurs prix, SFR se prépare au démantèlement, et Sony rappelle brutalement que le numérique ne vous appartient pas vraiment.  Me soutenir sur Patreon Me retrouver sur YouTube On discute ensemble sur Discord Nouveau Système Hors Sol : Trump nous refait une mythose. Mains dans l'IPOche : OpenAI contracte les bourses. Claude noue garrot : Dario va-t-il étouffer l'IA Chinoise ? Surprise ! Grok est classé X. Une nouvelle recette de Macaron, l'ONU perd les pédales. Adobe s'achète Topaz parce que c'est une perle. Shrinkinflation Oracle les fonds de tiroir. Apple a un pépin et c'est pour notre pomme. IBM fait sa fête au CFET, on empile les records. SFR : soyez vous, mais avec eux. Jeux vidéo Les Xbox augmentent encore. Heureusement que personne en achète… Trop fort, Sony détruit tous les Terminator ! For the players : le multi PS4 enfin gratuit ? Participants Une émission préparée par Guillaume Poggiaspalla Présenté par Guillaume Vendé

Becky Lawlor is the Founder & Principal at Redpoint Insights. She partners with B2B tech firms to elevate their market presence and brand recognition by producing original research and authoritative insights. With over a decade of experience, her approach has helped scale pipeline growth and enhance industry authority for top-tier tech companies such as Adobe, Samsung, IBM, and Fivetran. In this episode, Becky shares how she uses research-based content creation, original data, strategic research planning, and storytelling to help brands build authority. Key Takeaways:- How original research builds credibility- Why does thought leadership fail?- Building trust in the AI eraEpisode Timeline:1:25How did Becky get into research? 4:29The importance of fresh data in B2B marketing6:08What's happening right now at Redpoint Insights?9:50How do you turn data into an interesting story?12:05The signals that build authority14:30How do you build trust and credibility in the AI era?17:00Public opinion on AI17:40Why does most thought leadership fail?19:00How to make effective thought leadershipThis episode's guest:• Becky Lawlor on LinkedIn • Redpoint InsightsSubscribe and leave a 5-star review: https://pod.link/1496390646Contact Us!•Join the conversation by leaving a comment!•Follow us on Facebook, Twitter, Instagram, and LinkedIn!Thanks for listening! Hosted on Acast. See acast.com/privacy for more information.

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Google DeepMind puts $70M into A24. Anthropic's Fable model launched — then got pulled within days. Krea 2 goes open weight, and LTX Trainer brings video LoRAs to the open-source world. Adobe acquires Topaz Labs. -- The views and opinions expressed in ...

It is extremely hot in Michigan this week, with record highs expected here and in many parts of the country. That makes podcast recording harder, especially if your space gets warm or noisy. The show can still go on, but you have to be smart about how you record. 1) Turn off air conditioning and fans near your microphone when possible. A loud fan or air vent can create distracting background noise that makes the recording harder to listen to. That said, safety matters. If turning off the AC makes the room uncomfortable or puts you at risk of getting sick, leave it on. 2) Use AI cleanup tools when noise is unavoidable. Riverside has Magic Audio, Descript has Studio Sound, Adobe has Adobe Enhance, and Auphonic can help clean up and balance short audio clips. These tools are not perfect, but they can help when heat forces you to record with fans or air conditioning running. 3) Speak into a dynamic microphone. Condenser microphones pick up more room noise, including fans, vents, dogs barking, and cars outside. A dynamic mic helps reject more of that background noise. There are affordable options like the Samson Q2U, which plugs in by USB, and higher end options like the Shure SM7B. The important thing is to use a dynamic mic unless you are recording in a well treated room. 4) Record early or late in the day. Just like walking the dog at 6 a.m. or 9 p.m. during a heat wave, recording before the day heats up or after the sun goes down can make the session more comfortable. 5) Drink room temperature water. Avoid soda or anything carbonated because it can create gas bubbles while speaking. Avoid dairy because it can cause phlegm. Ice water may seem like the right choice in the heat, but cold can cause vocal cords to contract, which makes it harder to speak clearly. The bottom line is simple. Keep recording if you can, but do not risk your health for one episode. If the space is too hot or the conditions are not safe, the episode can wait. Read this podcast as a blog post here. Find jag on social media @JAGPodcastProductions or online at JAGPodcastProductions.com Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This week on the Watson Weekly, four stories about who controls what you see and what you buy.Papa John's wanted to reach you the moment your fridge runs empty, so it bought the data to know when that happens. Instacart supplied it. The company confirms this is the first time it has handed first-party purchase data to a brand outside packaged goods, served on NBCU streaming inventory. The targeting is clever. The results do not exist yet.Amazon moved Prime Day to June for the first time since 2021. The stated reason is a crowded July. The real reason is a holiday Amazon never has to share. Adobe projected $26.3 billion in spending across the window, but CPI rose 4.2% in May and average order values fell 17%, with more shoppers reaching for buy now, pay later. Read that headline slowly.The Watson Weekly is sponsored by Avalara. It works with platforms like Shopify, BigCommerce, and WooCommerce, helping teams manage compliance faster and scale with confidence. Learn more at avalara.watsonweekly.com.FedEx grew revenue 13%. Strip out the fuel surcharge and adjusted operating income grew 3%, with margins down 70 basis points. The company spun off freight on June 1st at the bottom of its cycle and switched its fiscal calendar. The December report covers a seven-month stub year.Cannes sold agentic commerce for five days on the Riviera. Amazon launched agentic ads on Alexa. Retail media hit a number near $150 billion, according to the people selling it. Capability and intent were everywhere. Proof was not.Plus the Investor Minute: Redo, Orderful, Walmart's $1.4 billion move on Vibe, Tiger Finance and Glossier, and Bed Bath & Beyond buying a real estate platform.#watsonweekly #papajohnspizza #instacart #fedex #amazon #cannes

What apps and tools do you actually need to run an online business while traveling the world? In this episode, I share my complete digital nomad tech stack that I've used to make over $1 million online from around the world. Whether you're building an online business, creating content, or dreaming of working from anywhere, you'll learn everything you need to travel AND grow. Links: ClickUp: https://try.web.clickup.com/x8hy18zqoiuz ActiveCampaign: https://try.activecampaign.com/ugizyfl7ufzv Riverside.fm: https://riverside.sjv.io/c/3325409/3200238/28064 ThriveCart: https://thewanderlover--checkout.thrivecart.com/thrivecart-standard-account/ Adobe: https://adobe.prf.hn/click/camref:1100lupfB  NordVPN: https://go.nordvpn.net/aff_c?offer_id=15&aff_id=104585&url_id=902 BlueHost: https://bluehost.sjv.io/9Wm7zW Libsyn: https://goto.libsyn.com/L0RdGj Nordace Backpack:https://www.avantlink.com/click.php?tt=cl&merchant_id=8898599c-c32e-4802-a5ea-2905034bfdf0&website_id=0c00ff9a-c5d4-4396-824a-7c582389bd85&url=https%3A%2F%2Fnordace.com%2Fen%2F ---------------- ⟡ Instagram: https://www.instagram.com/thewanderlover/ ⟡ Podcast: https://thewanderlover.com/podcast ---------------- RESOURCES FOR YOU: ⟡ Your 0 to $100K Game Plan: https://thewanderlover.com/100k-game-plan/ ⟡ Make Your First $5k Online: https://thewanderlover.com/business-academy/ ⟡ Become a PAID Travel Creator: https://thewanderlover.com/travel-influencer-handbook/

Generative AI has been a concern among investors as a disruptor to software companies, especially ones like Adobe (ADBE). Rick Ducat points out how unfavorable the price action is by highlighting support and resistance areas to watch after the stock's near 50% decline from 52-week highs. He then offers an example options trade for Adobe. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Thursday Follow Along Holy Rosary - Luminous Mysteries - SPOKEN MALE VOICE with inspired and music Prayerful and peaceful music accompany your prayer space as we ask the Blessed Mary to hear our intentions and intercede for us alongside this rosary. This rosary contains the luminous mysteries, recited on Thursdays.  These mysteries focus on Jesus' public ministry, including his baptism and the institution of the Eucharist, with fruits such as openness to the Holy Spirit and adoration. Join the communion of saints in praying the rosary, as it connects you with the communal prayer of the universal Church and the saints throughout history, fostering a profound sense of spiritual solidarity.  May this Rosary become a faithful companion to your prayer life. Additional prayer tools at www.rosarywristband.com 30 MINUTE TRADITIONAL ROSARY - LUMINOUS THURSDAY - SPOKEN ONLY https://youtu.be/3FsR8I6WiTs MOST VIEWED THURSDAY ROSARY: Calm Music    https://youtu.be/73Z7rRx6dnM MOST VIEWED ONE HOUR ROSARY DEVOTION: Complete Rosary    https://youtu.be/rrNMRJ5oH-Q MOST VIEWED SLEEP ROSARY: 4 Hour Sleep Rosary    https://youtu.be/4a-uaEEJOF4 Consider a donation through PayPal to help us continue creating quality content:  https://www.paypal.com/cgi-bin/webscr?business=CHerrera720037%40gmail.com&cmd=_donations¤cy_code=USD&item_name=Donation+to+The+Communion+of+Saints&return=https%3A%2F%2Frosarywristband.com%2Fhome All music in this video is licensed thru Epidemic Sound Publishing. Visual artwork created with MidJourney and Adobe. Blessings, Chris - The Communion of Saints Email: chris@rosarywristband.com Simple, easy and quick rosary prayers for everyday recitation and reflection.   This collection of Catholic rosary videos in english serve as a daily devotion and feature a variety of calm background music and nature soundscapes.   Choose from audio only or follow along videos with all mysteries: Joyful, Sorrowful, Glorious and Luminous.  A short or long version rosary before sleep, while sleeping or at any time of the day will bring you renewed focus and peace.  For every mood, you can journey deeper and pray a rosary today on YouTube. "Together we pray" Visit rosarywristband.com for comfortable one decade rosaries. #Rosary #LuminousMysteries #CatholicMeditation #ThursdayRosary #todayrosary #todayrosaryinenglish

Dr. David Burkus⁠' forward-thinking ideas and bestselling books help leaders build high performing, cohesive, engaged professional teams. A former business school professor, David now works with leaders from organizations across all industries, including PepsiCo, Fidelity, Adobe, and NASA--and he's also authored multiple bestselling books--including a new one, ⁠Best Team Ever⁠, which published this year. In this classic episode, David joined host Robert Glazer on the Elevate Podcast to discuss the strategies for leading, developing, and building high-performing teams. Thank you to the sponsors of The Elevate Podcast Shopify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠shopify.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Framer: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠framer.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Indeed: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠indeed.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Northwest Registered Agent: ⁠⁠⁠⁠⁠northwestregisteredagent.com/elevate⁠⁠⁠⁠⁠ Whatnot: Search "Whatnot" in the app store to download Fanvue: ⁠fanvue.com⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

"You are always a student, never a master." This simple principle serves as the heartbeat for a life dedicated to authentic human depth. In a world optimized for digital efficiency and "frictionless" convenience, the true currency of a meaningful life remains the unscalable power of independent thought, presence, and intentional effort.   In this episode of Gratitude Through Hard Times, Sandra Lopez explores the growing cultural movement of human connection, healing, and the unexpected ways we tune back into our personal truths. Sandra shares insights from her personal journey, including navigating a high-stakes executive career at tech giants like Intel, Adobe, and Microsoft, confronting a pivotal 360-feedback review that labeled her a "robot," and utilizing the forced pause of the COVID-19 pandemic to embark on a radical road of self-discovery through Kabbalah. Together, the conversation dives into how we show up for our teams with deep empathy, the power of using technology as a contrarian force, and how choosing a messy, non-traditional path allows leaders to trade superficial ego validation for lasting, soul-led growth.   10 Memorable Quotes: "Business is business, and you keep your personal life separate." "Until, you know, maybe two years into, uh, my management, I got my 360 feedback, and, feedback is a gift." "One of my team members said, 'I don't know Sandra. She seems to be like a robot.'" "A good leader delivers results, but how do you become a great leader? And the great leader is the understanding that we are all humans." "The greatest gift that I get isn't my bonus. It's the little emails that I get..." "I'm 53 and I would say most of my lifespan, was probably giving gratitude very superficially." "Am I doing this for my ego or am I doing this for my soul? And that's a very hard transition actually." "The soul responds to the soul. So when, if you're starting your own business and you really focus on what's the soul of the company... Humans are gonna respond to that." "The moments, the hardest moments of my life was when I saw exponential growth." "Be delusionally... Be delusional about finding your soul. How's that? DeLulo" 10 Key Takeaways: The Character Test of Feedback: Why embracing uncomfortable 360-degree reviews and extracting truth from critical peer assessments is infinitely better than building an inner circle of enablers. Good vs. Great Leadership: Understanding the stark reality of corporate metrics, where delivering OKRs only makes you a good leader, while a great leader prioritizes the unscalable human-to-human capacity. The Hidden Debt of the Ego: Recognizing the profound impact of modern business systems and digital platforms like LinkedIn, which function as machines engineered to feed external images rather than internal truths. The Evolving Rules of Tech: Dealing with the modern reality of AI engagement, choosing to use technology strictly as a contrarian tool to challenge strategic blind spots rather than a superficial echo chamber to validate existing bias. The Value of Trailing Humans: Processing the bittersweet realization that while tools can assist operations, chatbots lack a conscience, meaning true personal breakthroughs require stepping away from screens to converse with a real human being. Remembering COVID's Gift: Reclaiming the narrative around global and personal hardships by extending genuine gratitude to a crisis that forced a necessary internal pause and deep ancestral self-discovery. Systemic vs. Soul Presence: Learning that showing up authentically requires skipping rigid, traditional expectations of how leaders "should" live or format their personal partnerships and spaces. Sitting in the SAVERS Routine: A look at how intentional daily habits form resilience, utilizing quiet mornings dedicated to silence, gratitude, visualization, exercise, contrarian reading, and scribing. Certainty and Intuition: How dialing into your core intuition prompts people to pause, providing an unshakeable confidence that overrides logical fears when making massive career pivots. The Micro-Intervention of the Zag: How breaking past a commoditized, fast-paced, and highly automated corporate landscape to bring the purposeful messiness of the soul back into business is the ultimate competitive advantage. About our Guest: Growing up with a relentless work ethic shaped the foundation of Sandra Lopez's purpose-driven approach to leadership. Guided by the personal philosophy that "you are always a student, never a master," she learned early that true wisdom requires a lifelong commitment to unlearning, learning, and continuously putting one foot in front of the other, no matter how grueling the path becomes. Raised to appreciate the delicate balance between high-stakes profit metrics and a deep responsibility to give back, those early values instilled in her a lasting dedication to community advocacy, representation, and leading with radical transparency. After entering the technology workforce, Sandra discovered a deep passion for driving corporate transformation at an elite level, spending over twenty years holding executive and leadership roles at iconic global brands including Intel, Adobe, and serving as the former CMO of Microsoft Advertising. What began as a traditional path focused on hard business outcomes evolved into a fulfilling calling as the CEO of Ambi Ventures, where she partners with ambitious businesses to provide elite fractional CMO services, advisory expertise, and investments. Dedicated to being an active advocate for Latina executives across America and serving as a co-chair for the World Economic Forum's AR/VR Model Commission, Sandra believes that integrating empathy and humanity into corporate spaces is at the heart of meaningful growth. Outside of her advisory career, she stays actively involved in exploring diverse spiritual and mindfulness practices like Kabbalah, prioritizing intentional morning routines, and inspiring the next generation of leaders to look past the ego to connect deeply with their soul's true purpose.

Wednesday Follow Along Holy Rosary - Glorious Mysteries - SPOKEN MALE VOICE with inspired music Prayerful and peaceful music accompany your prayer space as we ask the Blessed Mary to hear our intentions and intercede for us alongside this rosary. This rosary contains the glorious mysteries, recited on Wednesdays and Sundays.  These mysteries focus on the events following Christ's resurrection, including Pentecost and Mary's coronation, with fruits such as faith and hope. Be a part of the communion of saints in praying the rosary, as it connects you with the communal prayer of the universal Church and the saints throughout history, fostering a profound sense of spiritual solidarity.  May this Rosary become a faithful companion to your prayer life. Additional prayer tools at www.rosarywristband.com 30 MINUTE TRADITIONAL ROSARY - GLORIOUS WEDNESDAY - SPOKEN ONLY https://youtu.be/r2tCG5QM1_o MOST VIEWED WEDNESDAY ROSARY: Calm Music    https://youtu.be/1Fnoyv8EmO0 MOST VIEWED ONE HOUR ROSARY DEVOTION: Complete Rosary    https://youtu.be/rrNMRJ5oH-Q MOST VIEWED SLEEP ROSARY: 4 Hour Sleep Rosary    https://youtu.be/4a-uaEEJOF4 Consider a donation through PayPal to help us continue creating quality content:  https://www.paypal.com/cgi-bin/webscr?business=CHerrera720037%40gmail.com&cmd=_donations¤cy_code=USD&item_name=Donation+to+The+Communion+of+Saints&return=https%3A%2F%2Frosarywristband.com%2Fhome All music in this video is licensed thru Epidemic Sound Publishing. Visual artwork created with MidJourney and Adobe. Blessings, Chris - The Communion of Saints Email: chris@rosarywristband.com Simple, easy and quick rosary prayers for everyday recitation and reflection.   This collection of Catholic rosary videos in english serve as a daily devotion and feature a variety of calm background music and nature soundscapes.   Choose from audio only or follow along videos with all mysteries: Joyful, Sorrowful, Glorious and Luminous.  A short or long version rosary before sleep, while sleeping or at any time of the day will bring you renewed focus and peace.  For every mood, you can journey deeper and pray a rosary today on YouTube. "Together we pray" Visit rosarywristband.com for comfortable one decade rosaries. #Rosary #GloriousMysteries #CatholicMeditation #WednesdayRosary #todayrosary #todayrosaryinenglish

Windows 12 is stalled and the real reasons go far beyond software. The conversation unpacks how soaring hardware prices, AI chaos, and market confusion have Microsoft in a holding pattern. Also, Paul finally took a sledgehammer to the subscription services he pays for, and more is on the way. Plus, one of Paul's favorite Markdown editors supports authorship on Windows now and an integrated Search/Outline view on Mac, iPad, and iPad.Windows Week D is here with a preview of July's Patch Tuesday Point-in-time restore is now generally available in Windows 11, sort of Quieter widgets, which is nice! Plus, Screen tint, Windows Update improvements, more Tied to this, sort of, something wonderful is happening to the Windows 11 Field Guide Five new builds, plus some 26H2 news (and still no news about what 26H1 becomes, see below...) Mostly minor fit-and-finish improvements So... what about Windows 12? The history is interesting, and Copilot+ PC was what Paul originally thought Windows 12 would be. But now we're talking agentic capabilities that will handle local/cloud/hybrid orchestration per last week's discussion, and maybe that will be it. We knew that Surface Laptop and Surface Pro would come in 8 GB configurations. But they're available now with just 256 GB of storage and the prices are $950 and $850 and up, respectively. Plus all the usual Surface limitations, like one color choice. (16 GB is $1150 and $1050, respectively, so $300 more.) Once again, it's time to just get a Lenovo IdeaPad Slim 5x for $850. It has 16 GB of RAM and 512 GB of storage and is awesome. Tim Cook just admitted that Apple will raise hardware prices because of the component crisis. If this is hitting Apple hard, the rest of the industry is screwed. AI Cory Doctorow's new book is out and let's just say his new neologism isn't as catchy as enshittification Reverse centaur (groan) Surprisingly centrist view on the pros and cons of AI Highlights the Microsoft financial shenanigans I point out every quarter: Microsoft "invests" $10 billion of "tokens" in OpenAI, but there's no volume discount and Microsoft books the transaction as $10 billion in AI revenues as OpenAI simply uses its infrastructure. It gave $10 billion to OpenAI so that it could spend $10 billion on Azure. Google Home Speaker is the Gemini speaker and it's now shipping to first customers as Google discontinues Nest Audio and Nest Mini speakers. Can we trust this company with hardware? And why are there no Apple or Google home theater setups? Adobe brings its creative agent to Firefly and the biggest apps in Creative Cloud XBOX & gaming No movement yet on the massive changes we expect in XBOX soon Microsoft has "dozens" of gaming IP-based movies and TV shows in the works XBOX Insiders can now test updates to Gamertags, Game Hub, and Wish List Call of Duty: Black Ops 1 and 2 are being ported to modern PS consoles. Sadly, not remakes or remasters. GTA VI will cost $79.99 and up - Arrives in November, can preorder on June 25 Steam Machine to cost $1049 and up, and that's with no controller Tips & picks Tip of the week: How to save $100 a month App pick of the week: iA Writer RunAs Radio this week: Securing Developers with Tanya Janca Brown liquor pick of the week: Glen Breton Rare 10 These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/989 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsor: webroot.com/twit

Windows 12 is stalled and the real reasons go far beyond software. The conversation unpacks how soaring hardware prices, AI chaos, and market confusion have Microsoft in a holding pattern. Also, Paul finally took a sledgehammer to the subscription services he pays for, and more is on the way. Plus, one of Paul's favorite Markdown editors supports authorship on Windows now and an integrated Search/Outline view on Mac, iPad, and iPad.Windows Week D is here with a preview of July's Patch Tuesday Point-in-time restore is now generally available in Windows 11, sort of Quieter widgets, which is nice! Plus, Screen tint, Windows Update improvements, more Tied to this, sort of, something wonderful is happening to the Windows 11 Field Guide Five new builds, plus some 26H2 news (and still no news about what 26H1 becomes, see below...) Mostly minor fit-and-finish improvements So... what about Windows 12? The history is interesting, and Copilot+ PC was what Paul originally thought Windows 12 would be. But now we're talking agentic capabilities that will handle local/cloud/hybrid orchestration per last week's discussion, and maybe that will be it. We knew that Surface Laptop and Surface Pro would come in 8 GB configurations. But they're available now with just 256 GB of storage and the prices are $950 and $850 and up, respectively. Plus all the usual Surface limitations, like one color choice. (16 GB is $1150 and $1050, respectively, so $300 more.) Once again, it's time to just get a Lenovo IdeaPad Slim 5x for $850. It has 16 GB of RAM and 512 GB of storage and is awesome. Tim Cook just admitted that Apple will raise hardware prices because of the component crisis. If this is hitting Apple hard, the rest of the industry is screwed. AI Cory Doctorow's new book is out and let's just say his new neologism isn't as catchy as enshittification Reverse centaur (groan) Surprisingly centrist view on the pros and cons of AI Highlights the Microsoft financial shenanigans I point out every quarter: Microsoft "invests" $10 billion of "tokens" in OpenAI, but there's no volume discount and Microsoft books the transaction as $10 billion in AI revenues as OpenAI simply uses its infrastructure. It gave $10 billion to OpenAI so that it could spend $10 billion on Azure. Google Home Speaker is the Gemini speaker and it's now shipping to first customers as Google discontinues Nest Audio and Nest Mini speakers. Can we trust this company with hardware? And why are there no Apple or Google home theater setups? Adobe brings its creative agent to Firefly and the biggest apps in Creative Cloud XBOX & gaming No movement yet on the massive changes we expect in XBOX soon Microsoft has "dozens" of gaming IP-based movies and TV shows in the works XBOX Insiders can now test updates to Gamertags, Game Hub, and Wish List Call of Duty: Black Ops 1 and 2 are being ported to modern PS consoles. Sadly, not remakes or remasters. GTA VI will cost $79.99 and up - Arrives in November, can preorder on June 25 Steam Machine to cost $1049 and up, and that's with no controller Tips & picks Tip of the week: How to save $100 a month App pick of the week: iA Writer RunAs Radio this week: Securing Developers with Tanya Janca Brown liquor pick of the week: Glen Breton Rare 10 These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/989 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsor: webroot.com/twit

Tuesday Follow Along Holy Rosary - Sorrowful Mysteries - SPOKEN MALE VOICE with inspired music Prayerful and peaceful music accompany your prayer space as we ask the Blessed Mary to hear our intentions and intercede for us alongside this rosary. This rosary contains the sorrowful mysteries, recited on Tuesdays and Fridays  These mysteries focus on Christ's Passion and death, with fruits like sorrow for sin and patience. Be a part of the communion of saints in praying the rosary, as it connects you with the communal prayer of the universal Church and the saints throughout history, fostering a profound sense of spiritual solidarity.  May this Rosary become a faithful companion to your prayer life. Additional prayer tools at www.rosarywristband.com 30 MINUTE TRADITIONAL ROSARY - SORROWFUL TUESDAY - SPOKEN ONLY https://youtu.be/xuBcmbi8XKM MOST VIEWED TUESDAY ROSARY: Calm Music    https://youtu.be/tcryvk5IlmY MOST VIEWED ONE HOUR ROSARY DEVOTION: Complete Rosary    https://youtu.be/rrNMRJ5oH-Q MOST VIEWED SLEEP ROSARY: 4 Hour Sleep Rosary    https://youtu.be/4a-uaEEJOF4 Consider a donation through PayPal to help us continue creating quality content:  https://www.paypal.com/cgi-bin/webscr?business=CHerrera720037%40gmail.com&cmd=_donations¤cy_code=USD&item_name=Donation+to+The+Communion+of+Saints&return=https%3A%2F%2Frosarywristband.com%2Fhome All music in this video is licensed thru Epidemic Sound Publishing. Visual artwork created with MidJourney and Adobe. Blessings, Chris - The Communion of Saints Email: chris@rosarywristband.com Simple, easy and quick rosary prayers for everyday recitation and reflection.   This collection of Catholic rosary videos in english serve as a daily devotion and feature a variety of calm background music and nature soundscapes.   Choose from audio only or follow along videos with all mysteries: Joyful, Sorrowful, Glorious and Luminous.  A short or long version rosary before sleep, while sleeping or at any time of the day will bring you renewed focus and peace.  For every mood, you can journey deeper and pray a rosary today on YouTube. "Together we pray" Visit rosarywristband.com for comfortable one decade rosaries. #Rosary #SorrowfulMysteries #CatholicMeditation #TuesdayRosary #todayrosary #todayrosaryinenglish

Episode 488 of the Lens Shark Photography Podcast In This Episode If you subscribe to the Lens Shark Photography Podcast, please take a moment to rate and review us to help make it easier for others to discover the show. Sponsors: - Build Your Legacy with Fujifilm. Latest savings at FujfilmCameraSavings.com - Shop with the legends at RobertsCamera.com, and unload your gear with UsedPhotoPro.com -  Elinchrom's new Transmitter Pro X at Elinchrom.com - Calibrate's big WYSIWYG savings! - More mostly 20% OFF codes at LensShark.com/deals. Stories: Insta360 unveils its Luna Ultra. (#) You might want to wait on updating this Panasonic. (#) These types of cameras are doing especially well. (#) Fujifilm announces Fujikina NYC. (#) Adobe's latest updates are very useful. (#) Zeiss sets the record straight on these lenses. (#)   Connect With Us Thank you for listening to the Lens Shark Photography Podcast! Connect with me, Sharky James on Twitter, Instagram Vero, and Facebook (all @LensShark).

Live from the LinkedIn Lounge at Cannes Lions, we break down why traditional advertising is broken and what's actually working today. Spending millions on a single, polished TV commercial doesn't work anymore—it just gets lost in the noise. We sit down with creator Anthpo, Ramp's Kendall Hope Tucker, and Adobe's Lara Balazs to look at how real brands are catching people's attention by being entertaining and acting like creators themselves. What we cover: The Power of Stunts: Why Ramp puts Kevin from The Office in a glass box, and how they pull it off without a corporate committee ruining the idea. The New Brand Deal: Why creators are moving past basic shoutouts and actually helping big companies build their entire strategy. Moving Fast with AI: How Adobe uses new tools to handle the boring parts of making videos and images so teams can focus on the big ideas. The End of Google Search: Why people are looking for things inside AI chatbots instead of search engines, and what that means for brands. Learn more about your ad choices. Visit megaphone.fm/adchoices

In today's episode, Stig Brodersen is joined by Tobias Carlisle and Hari Ramachandra for a new round of stock pitches. Hari makes the case for Meta as a leading AI-powered advertising platform. Tobias breaks down Booking Holdings and whether its travel moat can withstand the rise of AI assistants. Stig analyzes Adobe, exploring the durability of its creative software ecosystem amid rapid technological change. IN THIS EPISODE YOU'LL LEARN: (00:00:00) Intro(00:02:31) Why Hari is bullish on Meta (Ticker: META), highlighting its advertising dominance, network effects, and long-term monetization potential.(00:03:38) The bear case for Meta, including massive AI infrastructure spending, uncertain returns on capital, and execution risk around AI monetization.(00:14:27) Why Tobias is bullish on Booking Holdings (Ticker: BKNG), emphasizing its capital-light business model and robust travel ecosystem.(00:18:46) The bear case for Booking Holdings, including AI-driven loss of customer mindshare, and potential pressure on its role in the travel booking value chain.(00:27:43) Why Stig is bullish on Adobe, focusing on its switching costs and subscription-based revenue model (Ticker: NASDAQ: ADBE).(00:37:21) The bear case for Adobe, including AI-generated content and the increasing competition from tools like Canva and LLMs. Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences. BOOKS AND RESOURCES Join the exclusive ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Mastermind Community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Stig Brodersen's Portfolio and Track Record.  Our valuation model of Adobe. Our valuation model of Meta. Our valuation model of Booking Holding.com. Check out the Mastermind Discussion Q1, 2026 | Video. Check out the Mastermind Discussion Q4, 2025 | Video. Check out the Mastermind Discussion Q3, 2025 | Video. Check out the Mastermind Discussion Q2, 2025 | Video. Check out the Mastermind Discussion Q1, 2025 | Video. Tobias Carlisle's podcast, The Acquirers Podcast. Tobias' ETF, ⁠ZIG⁠. Tobias' ETF, ⁠Deep⁠. Tweet to ⁠Tobias Carlisle⁠. Hari's ⁠Blog⁠. Tweet to ⁠Hari⁠. Related ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠books⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ mentioned in the podcast. Ad-free episodes on our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Premium Feed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. NEW TO THE SHOW? Get smarter about valuing businesses through ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Investor's Podcast Starter Packs⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow our official social media accounts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Try our tool for picking stock winners and managing our portfolios: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Finance⁠⁠⁠⁠⁠⁠⁠⁠⁠. Enjoy exclusive perks from our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠favorite Apps and Services⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn how to better start, manage, and grow your business with the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠best business podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. SPONSORS Support our free podcast by supporting our sponsors: Plus500 Netsuite Vanta Shopify References to any third-party products, services, or advertisers do not constitute endorsements, and The Investor's Podcast Network is not responsible for any claims made by them Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm