Podcasts about desktops

Die bisher nur in China veröffentlichte Grafikkarte AMD Radeon RX 9070 GRE mit 12 GB VRAM ist jetzt offiziell weltweit verfügbar, in Deutschland etwa ab 550 Euro erhältlich. Normalerweise würden wir sagen: Mehr Auswahl ist gut für uns Verbraucher. Aber in der aktuellen Marktsituation ergibt diese Grafikkarten keinen Sinn. Zum Zeitpunkt der Aufnahme kostete die deutlich stärkere und mit mehr VRAM ausgestattete 9070 ebenfalls 550 Euro. Ob das so bleibt? Fraglich. Andere alte neue Sachen von AMD sind erfreulicher: Zum 10-Jahre-Jubiläum des Sockel AM4 kommt die erste CPU mit 3D-V-Cache wieder! Ryzen 7 5800X3D ist auch heute noch eine exzellente Gaming-CPU und angesichts der absurden Preise für DDR5-Speicher eine gute Möglichkeit, noch vorhandenen AM4-PCs eine Verlängerung der Lebenszeit zu gönnen. Auch wenn der Preis von 349 Dollar UVP nicht gering ist. Nebenbei verspricht AMD nun, den Sockel AM5 bis mindestens 2029 zu unterstützen. Das geht gut zusammen mit den Gerüchten, Zen 6 für Desktop würde erst 2027 erscheinen. Jensen Huang und Nvidia machen ja nichts unter einer Revolution: Zusammen mit Microsoft wolle man den Windows PC neu erfunden haben. Gemeint ist damit der sog. Superchip RTX Spark, der 10 nicht näher beschriebene Cortex-Kerne von ARM mit einer Blackwell-GPU der Klasse 5070 in einem Package kombiniert. Windows on ARM ist immer noch so eine Sache, aber RTX Spark ist auch weniger für Menschen, sondern mehr für "AI-Agents". Viel Spaß mit Folge 310! Sprecher:innen: Michael Kister, Mohammed Ali DadAudioproduktion: Michael KisterVideoproduktion: Mohammed Ali Dad, Michael KisterText: Michael KisterTitelbild: Mohammed Ali DadBildquellen: SAPPHIRE Technology Limited/Foto von Zelch Csaba (Pexels)Aufnahmedatum: 05.06.2026 Besucht unsim Discord https://discord.gg/SneNarVCBMauf Bluesky https://bsky.app/profile/technikquatsch.deauf Youtube https://www.youtube.com/@technikquatsch https://www.youtube.com/@technikquatschgamingauf TikTok https://www.tiktok.com/@technikquatschauf Instagram https://www.instagram.com/technikquatschauf Twitch https://www.twitch.tv/technikquatsch RSS-Feed https://technikquatsch.de/feed/podcast/Spotify https://open.spotify.com/show/62ZVb7ZvmdtXqqNmnZLF5uApple Podcasts https://podcasts.apple.com/de/podcast/technikquatsch/id1510030975Deezer https://www.deezer.com/de/show/1162032 00:00:00 Herzlich willkommen zu Technikquatsch Folge 310! Mo nimmt ab und bereitet sich auf Freiburger Business Lauf vor. 00:13:35 AMD Radeon RX 9070 GRE für ca. 550 Euro verfügbar, 9070 und RTX 5070 kosten etwa gleich bei höherer Performance.https://www.computerbase.de/news/grafikkarten/radeon-rx-9070-gre-die-china-version-mit-12-gb-kommt-weltweit-auf-den-markt.97586/ 00:24:19 AMD Ryzen Zen 6 und Intel Nova Lake sollen wohl erst 2027 erscheinen.https://www.heise.de/news/Durststrecke-Neue-Desktop-Prozessoren-kommen-erst-2027-11316246.html 00:29:00 Google-Entwickler machen sich intern mit Memes über den eigenen KI-Slop lustig.https://www.golem.de/news/ki-slop-googler-laestern-intern-ueber-ki-tools-2606-209431.html 00:40:05 AMD Ryzen 7 5800X3D Anniversary Edition zu 10 Jahren AM4 kostet 349 Dollar.https://www.computerbase.de/news/prozessoren/10-years-anniversary-edition-der-amd-ryzen-7-5800x3d-fuer-am4-ist-guenstiger-zurueck.97614/ 00:43:11 AMD verspricht Unterstützung für AM5 bis mindestens 2029.https://www.computerbase.de/news/prozessoren/auch-noch-zen-7-amd-will-am5-bis-mindestens-2029-mit-neuen-cpus-versorgen.97617/ 00:47:51 Nvidia will mit "Superchip" RTX Spark den Windows PC neu erfunden haben.https://www.computerbase.de/news/pc-systeme/rtx-spark-superchip-nvidia-greift-amd-und-intel-im-windows-pc-markt-an.97539/ 00:55:02 Offizielles Fußballspiel zu WM FIFA World Cup: Launch Edition von Netflix wird auf den TV gestreamt und mit dem Smartphone gesteuert.https://about.netflix.com/en/news/new-fifa-world-cup-launch-edition-game-exclusively-on-netflix 01:00:06 Sony Playstation State of Play zum Summer Game Fest 2026 https://www.youtube.com/watch?v=RvyezhN16IU; Wolverine https://www.youtube.com/watch?v=OiBo_NgYI5Q01:06:43 God of War: Laufey https://www.youtube.com/watch?v=HLMX2w3cwuE01:15:05 "alles" kommt im September 202601:18:13 Onimusha: Way of the Sword Demo https://www.youtube.com/watch?v=LNq35HHUtNc 01:19:35 Neue Stargate-Serie von Amazon/MGM kommt doch nicht.https://variety.com/2026/tv/news/stargate-tv-series-martin-gero-scrapped-amazon-1236765061/ 01:23:47 Vielen Dank! Bis zum nächsten Mal!

The Head of Instagram announced the teleprompter feature from Edits is now in the Instagram app, then answers questions about when the Edits desktop app is coming, the best times to post, whether or not to have 2 Instagram accounts or just one.   Links: Instagram: Instagram introduces teleprompter tool  (Social Media Today) Links:        Leave a Review of the Podcast: Apple Podcasts   Connect with me on Instagram: @danielhillmedia Connect with me on Threads: @danielhillmedia Connect with me on YouTube: @danielhill_media   Leave a Review of the Podcast: Apple Podcasts     Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Apple Intelligence translation, taming your Desktop, fixing 4K Mac displays, iCloud email tips, and the Plex price hike.

In healthcare, every second at a workstation matters. But who's actually measuring the time between a badge tap and a clinician being ready to work?This session explores Tap to App — a feature built to solve one of healthcare IT's most frustrating invisible problems: the gap between when a clinician taps their badge at a workstation and when their full workflow is actually ready to go.Whether it's an ER nurse moving between stations or a physician ducking out to grab coffee and returning to a reconnect, the login and reconnect experience directly impacts patient care. The challenge? Desktop, VDI, and identity teams all operate in silos — and measuring an experience that spans all of them has historically been nearly impossible.In this episode, you'll learn:What Tap to App is and how it was born out of a real healthcare customer challengeWhy login and reconnect are two fundamentally different experiences — and why averaging them together is misleadingHow to measure the full clinician journey: from badge tap → identity provider → broker → VDI session → application readyWhat a real-world deployment looks like, with metrics broken down by login vs. reconnect, device, user, and time of dayHow to identify outliers (like a 56-second reconnect on a specific device) and drill down to root causeWhy reconnect speed is the metric you should be optimizing — and how sessions reconnecting in under 6 seconds are achievableIf you support healthcare environments running VDI and want to move beyond anecdotal complaints toward data-driven performance optimization, this one is essential viewing.

Nvidia heeft tijdens de eigen goed-nieuwsshow GTC, gehouden rond techbeurs Computex in Taiwan, nieuwe chips aangekondigd die juist voor apparaten van eindgebruikers zelf bedoeld zijn. Het betreft de RTX Spark, voorzien van zowel een CPU als een GPU, om te concurreren met AMD en Intel. Joe van Burik vertelt erover in deze Tech Update. Verder in deze Tech Update: Softbank, bekend van investeringen in OpenAI, gaat tientallen miljarden in AI-datacenters in Frankrijk steken See omnystudio.com/listener for privacy information.

Este boletim traz um resumo das principais notícias do dia na análise de Samuel Possebon, editor chefe da TELETIME.TELETIME é a publicação de referência para quem acompanha o mercado de telecomunicações, tecnologia e Internet no Brasil. Uma publicação independente dedicada ao debate aprofundado e criterioso das questões econômicas, regulatórias, tecnológicas, operacionais e estratégicas das empresas do setor. Se você ainda não acompanha a newsletter TELETIME, inscreva-se aqui (shorturl.at/juzF1) e fique ligado no dia a dia do mercado de telecom. É simples e é gratuito.Você ainda pode acompanhar TELETIME nas redes sociais:Instagram: https://www.instagram.com/teletimenews/Linkedin: https://www.linkedin.com/company/teletimenews/Facebook: https://www.facebook.com/Teletime/ Ou entre em nosso canal no Telegram: https://t.me/teletimenews Hosted on Acast. See acast.com/privacy for more information.

Pentecost was never meant to produce comfortable, nominal Christianity. In this Pentecost homily, I explore how Acts 2 connects back to Mount Sinai, John the Baptist's warning to Israel, and the danger of presuming we belong to God while remaining unchanged. The fire of Pentecost was not about emotional hype—it was about repentance, surrender, holiness, and the transforming presence of the Holy Spirit in our lives. If you've ever wondered whether modern Christianity has lost the weight and urgency of the early Church, this message is for you. That You May Know Him, Episode 299.

In dieser Ausgabe des AOM DSP Snacks sprechen Florian Vette und Florian Giulio Votta über konkrete Optimierungshebel für Amazon-DSP-Kampagnen und warum das initiale Setup nur 30 % der Arbeit ausmacht. Die Themen im Überblick: - Gebotslogik: Warum ist der Retargeting-User teurer als der User im oberen Funnel? - Audiences: Wie groß ist der Hebel beim Lookback Window und warum gehören Lookalikes nie ins gleiche Line Item wie Retargeting? - Frequency: Wie viele Touchpoints braucht ein User wirklich bis zum Kauf? - Placements & Devices: Wann schlägt Desktop plötzlich Mobile? - Creatives: Wann lohnen sich Dynamic E-Commerce Ads und wann eigene Werbemittel? - - Budget & Pacing: Was bringt Dayparting wirklich? - Mediaagentur vs. Spezialagentur: Warum Silodenken zwischen TV, Performance und Amazon zwangsläufig zu verschenkten Daten führt?

Every wish on your AI wish list?

This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting. This week on The Data Stack Show, Brooks and John chat with Andy MacMillan, CEO of Alteryx. Andy discusses the evolving landscape of data and AI, focusing on empowering business users to solve complex problems. He explores the concept of "citizen developers" and how tools like Alteryx can bridge the gap between IT and business teams by democratizing data access. The conversation also emphasizes the importance of creating controlled environments where business users can leverage cloud data platforms and AI technologies to reimagine workflows, without bypassing governance. Key takeaways include the need for organizations to enable innovation through accessible data tools, the potential of AI-driven agents to transform business processes, the critical role of employees who understand their business functions in driving technological transformation, and so much more. Highlights from this week's conversation include: Andy's Background and Journey in Data (0:54) Early Web Development at General Motors (2:23) AI Challenges in the Enterprise (9:03) What is Alteryx and Its Value Proposition (11:25) The Importance of Empowering Business Users (16:10) Bridging the Gap Between Data Platforms and Business Users (20:04) Evolution from Desktop to Data Cloud (25:28) Access and Governance in the Cloud Era (27:57) The Return of Local Data Work and AI Governance (31:24) AI Data Clearinghouse and Governance (34:11) AI-Enabled Workflows and Business Impact (38:13) The Future: Agents, Data Platforms, and Business Logic (41:05) How to Get Started with Alteryx or Learn More (46:54) Product Management Lessons for Leadership and Parting Thoughts (47:56) The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data. RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Some of the most useful new Illustrator features are easy to miss if you aren't actively exploring the latest updates and beta tools. In this episode, Theresa Jackson talks with illustrator and toy designer Thaddeus Coates and digital artist Luke Choice about the new Illustrator features they're genuinely excited to use. Thaddeus shares how Illustrator fits into his character design and toy-making process, including using Turntable to communicate ideas to manufacturers. Luke dives into the practical side of Illustrator updates, from snapping improvements and smoother performance to AI-assisted vector workflows inside Illustrator Beta. Whether you spend your days designing logos, illustrating characters, building client work, or experimenting with new ideas, there's probably a feature in this episode you haven't tried yet. Episode Highlights Prototyping with Turntable: Hear how Thaddeus Coates uses Turntable to prototype toy ideas and communicate designs to manufacturers faster. Live Preview Tools: Learn why Illustrator's Live Preview drawing tools feel more natural and responsive for illustrators working on iPad and desktop. Workflow Efficiency: Hear Luke Choice explain how small workflow improvements, including font browsing and snapping updates can save serious production time. Sketch to Vector: Explore how Sketch to Vector in Illustrator Beta is changing the way artists turn rough sketches and low-resolution artwork into editable vectors. Real-World Application: Hear both guests share examples of using Illustrator's newest features for experimentation, iteration, and client work. Resources CreativePro Week 2026: Nashville, June 29–July 3, 2026. https://creativeproweek.com/ CreativePro Events: https://creativepro.com/events/ Event Savings: Save $100 on any CreativePro event in 2026 with the discount code PODCAST: https://creativepro.com/events/ Membership Discount: Get $15 off one year of CreativePro membership with the discount code PODCAST: https://creativepro.com/become-a-member/ Adobe Help: What's New in Illustrator on the Desktop: https://helpx.adobe.com/illustrator/desktop/new-features/whats-new.html Thaddeus Coates: https://www.hippypotter.com/ Luke Choice: https://www.velvetspectrum.com/

By Doug Green “We're really innovating the modern desktop, and this is just the beginning of the roadmap we've got planned,” said Matt Dargis, CRO of Plugable. In a Technology Reseller News podcast, I spoke with Lynn Murphy, CEO of Plugable, and Matt Dargis, CRO of Plugable, about how the company is expanding from its leadership in docking stations and PC peripherals into a larger channel opportunity built around the modern desktop, hybrid work, fleet refresh, and local AI. Plugable, founded in 2009 in Redmond, Washington, is best known as a leading third-party docking station provider in North America. The company has built its reputation around deep compatibility testing, especially in mixed environments where businesses may be supporting different laptop brands, monitor types, operating conditions, and end-user needs. Murphy said that mixed environments are now the norm. From 4K and 8K monitors to diverse laptop fleets and hybrid workplace setups, businesses need products that simply work. That has become a defining part of Plugable's value proposition: reducing complexity at the desktop and helping partners deliver reliable solutions. The channel opportunity is expanding as organizations refresh aging fleets, prepare for AI-enabled workstations, and rethink the desktop as a productivity platform. Murphy noted that Plugable's recent minority investment from Acer Gadget will help the company scale faster, expand internationally, and accelerate new product categories. One of the most important areas of focus is local AI. Plugable has launched a secure local AI enclosure with a software stack designed to enable plug-and-play AI at the desk. Murphy said this gives partners a way to help customers begin with proofs of concept and move toward broader adoption, especially where repetitive workloads, private data, or compliance concerns make local AI attractive. “There is going to be a portion of the spend that moves to local, and that is repetitive and private data,” Murphy said. For MSPs and channel partners, the opportunity is not only in hardware sales but also in integration, support, managed services, proof-of-concept work, and ongoing customer engagement. Murphy pointed to use cases in law firms, public sector organizations, federal environments, doctor's offices, and distributed enterprises where local AI may offer a practical complement to cloud AI. Dargis said Plugable is a channel-first company and is investing in resources to create demand for partners. That includes evaluation units, public sector and enterprise support, government vehicles, K-12 contracts, and partner selling motions designed to bring opportunities back to the channel. “We view it as our job to embrace and engage with the customers and help the channel versus rely on the channel to do all that work,” Dargis said. The company is also focused on making the category easier for partners to sell. Plugable sees peripherals not as simple accessories, but as part of a broader desktop strategy involving productivity, asset management, compatibility, and support. For partners that may not yet be comfortable selling in this category, Dargis said Plugable is inviting conversations. The company's roots in digital commerce, customer education, and compatibility-driven support give it a foundation for helping partners serve everyone from small offices to global enterprises. As the workplace continues to change, Plugable is positioning the modern desktop as a growth opportunity for the channel. The company's message is that docks, peripherals, fleet refresh, and local AI are converging into a new desktop conversation—one that partners can lead. Learn more at: https://plugable.com

Comparing Books Close to the Books Review Feature for Accountant UsersThere's more than one way to “lock things down” in QuickBooks Online… but which one actually makes sense for your firm?In this upcoming QB Power Hour, we're breaking down the real differences between Books Review and Books Close for accountant users. What do they actually do? Where do they overlap? And most importantly are you adding steps that don't move the needle?We'll dig into:What Books Review is designed to streamline (and where it shines)What Books Close actually locks down and what it doesn'tWorkflow implications for monthly and year-end processesRisk management, team accountability, and client impactWhether using both is strategic… or just extra clicksAs always, this won't be theory. We'll keep it practical, candid, and focused on what matters in real firms doing real work.If you've been wondering whether the “juice is worth the squeeze” when it comes to your close process, this session is for you.00:00 Welcome and Agenda01:19 Webinar Format Updates02:57 New Series Categories04:25 Housekeeping and Q&A05:48 Poll on Books Review07:54 Why Use Books Review09:47 Desktop 2023 Discontinuation13:32 Will Desktop End Soon18:53 Books Close Overview21:00 Playbook and Task Sections23:22 Books Review New Experience25:37 Where to Find Books Review28:21 Need Global Templates29:36 Finding Books Close Tool30:01 Feature Comparison Spreadsheet33:23 Cleanup Versus Pre Close35:05 Who Books Close Is For38:12 Reconciliation Inside Tool43:37 Transaction Review Controls46:44 Payee Review And 1099s48:48 Final Review Wrap Up52:09 Pricing Beta And Billing55:02 Removing Clients Limitation57:39 Next Session And Farewell

Special discounts up for AIE Melbourne (LS discount) and AIE World's Fair (group discounts up to 25% - CFPs still open for Autoresearch and Vertical AI) Cya there!Abridge did not start as an “GPT wrapper”. It was founded in 2018, years before the Cambrian explosion of AI application layer companies. OpenAI launched ChatGPT publicly on November 30, 2022 and by then, Abridge had already spent years doing the unglamorous work of building trust for one of the highest context, most important workflows in healthcare: the conversation between a patient and a clinician.Abridge's original wedge was clinical documentation. Listen to the visit, generate the note, reduce the clerical burden, and let clinicians spend more time with patients instead of the EHR. By focusing on how doctors actually document, how health systems actually buy, how EHR integration actually works, how clinicians verify outputs, and how missing context during a visit turns into downstream friction across billing, prior authorization, quality, and follow-up, the adoption of LLMs became a force multiplier on a workflow already optimized for sensitive context gathering.The company has scaled fast: Abridge says it is projected to support 80M+ patient-clinician conversations this year across 250 large and complex U.S. health systems, with support for 28+ languages and 50+ specialties. It raised $300M at a $5.3B valuation in June 2025, after a $250M round earlier that year.Today, Janie Lee and Chaitanya “Chai” Asawa of Abridge join us for another crossover pod with Redpoint's Jacob Effron (who is on the board of Abridge) to dive into how Abridge is building the clinical intelligence layer for healthcare starting with ambient documentation, then expanding into clinical decision support, prior authorization, payer/provider/pharma workflows, and eventually real-time agents that act before, during, and after the patient conversation. We go inside the product, data, infra, evals, workflow, privacy, and org design choices behind bringing AI into one of the highest-stakes enterprise environments from 100M+ medical conversations and specialty-specific evals to real-time alerts, EHR integration, de-identification, clinician-scientist teams, and why healthcare may solve some of the hardest AI problems first.We discuss:* Why Abridge started with clinical documentation, “pajama time,” and saving clinicians 10–20 hours a week* The transition from ambient scribe to clinical intelligence layer: save time, save money, and save lives* Why conversations between patients and clinicians may be the most important workflow in healthcare (patient visit summary feature)* Chai's “healthcare-coded Glean” framing: context is king, but healthcare raises the stakes on safety, evals, and rollout* Why Abridge wants AI to feel like “air conditioning”: always in the background, but only interrupting when it truly matters* The prior authorization example: turning a denied MRI weeks later into real-time guidance while the patient is still in the room* Why payer policies, EHR data, medical literature, and hospital-specific guidelines make the problem hard, and also create the moat* How Abridge thinks about ambient form factors: mobile, desktop, in-room devices, nursing workflows, multimodality, and future AR* The multi-sided healthcare customer: CMIOs, CFOs, CIOs, clinicians, patients, payers, and pharma* The hardest AI problem at Abridge: high-quality, low-latency, low-cost real-time support in a high-stakes clinical setting* When Abridge uses frontier models vs proprietary models, and why its unique data from medical conversations matters* Why “every agent is a coding agent underneath,” and how the EHR can be thought of as a filesystem for healthcare agents* How Abridge approaches personalization across individual doctors, specialties, and health systems* Why “AI slop” is AI without context, and how edits, memories, and clinician preferences create a data flywheel* Abridge's eval stack: LFDs, LLM judges, in-house clinicians, third-party evaluators, specialty-specific evals, and progressive rollout* HIPAA, PHI, de-identification, one-way anonymization, customer contracts, and learning from healthcare data safely* What changes when you operate at 100M+ conversations: reliability, cost, post-training, model routing, and infrastructure optimization* Why the same clinical conversation can serve doctors, patients, payers, pharma, and future clinical-trial workflows* How Abridge works with EHRs, and why deep interoperability is table stakes for clinician adoption* Why healthcare AI has regulatory tailwinds, why 80/20 does not work here, and why high-stakes domains may drive AI forward* Why Abridge embeds “clinician scientists” into product and eval teams* What Chai learned from Glean about search, quality, and durable AI infrastructure* Why the future of AI infra may look like context layers, event-driven systems, Kafka, Temporal, sockets, CRDTs, and tools built for humans* Why Janie changed her mind on “PRDs are dead,” and why crisp written clarity matters more in complex AI products* How Abridge uses Claude Code, Cursor, and coding agents internallyAbridge:* Website: https://www.abridge.com/* X: https://x.com/AbridgeHQJanie Lee:* LinkedIn: https://www.linkedin.com/in/janiejleeChaitanya “Chai” Asawa:* LinkedIn: https://www.linkedin.com/in/casawaTimestamps00:00:00 Introduction and what Abridge does00:02:05 From ambient documentation to clinical intelligence00:04:04 Clinical decision support and context as king00:06:57 Alert fatigue, proactive intelligence, and prior authorization00:12:36 Ambient AI form factors and healthcare customers00:16:59 The hardest AI problems in healthcare00:18:26 Frontier models, proprietary data, and model strategy00:21:07 The EHR as a filesystem for agents00:24:03 Personalization, memory, and clinician preferences00:30:40 Evals, LLM judges, and progressive rollout00:36:47 HIPAA, de-identification, and privacy00:39:21 100M conversations and operating at scale00:44:10 EHR integration and the clinical intelligence layer00:46:39 Healthcare regulation, latency, and high-stakes AI00:50:11 Clinician scientists and long-tail quality00:53:04 Lessons from Glean and durable AI infrastructure00:57:03 The future of agentic healthcare workflows00:57:34 PRDs, product clarity, and building serious AI products01:03:11 AI coding tools at Abridge01:04:06 OutroTranscriptIntroduction: Abridge, Clinical Intelligence, and the Latent Space x Unsupervised Learning CrossoverSwyx [00:00:00]: Okay. This is a special crossover Latent Space Unsupervised Learning pod.Jacob [00:00:07]: Very excited to do this.Jacob [00:00:08]: At this point, we get together once a year.Swyx [00:00:10]: Once a yearJacob [00:00:11]: And this is a fun occasion to get to do it on.Swyx [00:00:13]: I really wanted to talk to Abridge but I felt very underqualified because healthcare is not something we cover very intensely. It just so happens that Redpoint's our big investors and supporters of Abridge.Jacob [00:00:27]: Anytime you want to have a portfolio company on your podcastJacob [00:00:29]: Please, by all means.Swyx [00:00:31]: So we'll introduce our guests. Chai and Janie, welcome to the pod.Janie [00:00:34]: Thanks for having us.Chai [00:00:35]: Thank you.Janie [00:00:35]: We're excited to be here.Chai [00:00:36]: Thank you.Swyx [00:00:36]: So for listeners, what do you guys do, just to situate you guys in the company?Janie [00:00:42]: Abridge is a clinical intelligence layer for health systems. We really started with documentation and building for clinicians and as we think about reducing the burden that clinicians have, they're spending 10 to 20 hours a week on documentation. There's a massive doctor shortage in the country. We also think that conversations between patients and clinicians are probably the most important workflow in healthcare. It's where care is given and received but if you think about the 20% of our GDP that goes towards healthcare, almost everything is a derivative of that conversation, whether it's the claim, the payment, the actual diagnosis given, the treatment. And we've started with a conversation to reduce the burden for doctors on documentation but we're really excited about the path ahead as we become this broader clinical intelligence layer.Chai [00:01:34]: I'm Chai. I work on clinical decision support at Abridge.Swyx [00:01:37]: Yes.Chai [00:01:37]: And so as Janie said, we're uniquely situated where we started off with the clinical note. What I'm really excited about and where we're expanding towards is what are all the things you can do before the conversation, during the conversation and after the conversation if you did have access to all the context about patients, payer guidelines, medical literature and put that together and to serve, how healthcare could look fundamentally different.Swyx [00:02:01]: And that's the context engine that you guys have?Chai [00:02:04]: Yes.Swyx [00:02:04]: Is that what it's called? Okay.Swyx [00:02:05]: So historically, as I understand it, the company started in 2018. A lot of people would be familiar with the AI voice notes form factor that doctors would be “Well, do you consent to being recorded?” It replaces handwriting and what have you. But it sounds like more recently there's been a big transition in the company. Tell me about the broader transition.From Documentation to Clinical Intelligence: Save Time, Save Money, Save LivesJanie [00:02:26]: So from a transition perspective, we really think about our journey as The first act was: how do we help save time? And that's where a lot of that original product was.Swyx [00:02:37]: By the way, one of those interesting statsSwyx [00:02:39]: On your landing page was, doctors spend time after hours.Janie [00:02:43]: They call it pajama time.Swyx [00:02:44]: Why is that pajama time?Janie [00:02:46]: Doctors after work in their pajamasSwyx [00:02:48]: In their pajamas. OhJanie [00:02:49]: At home are just writing and catching up on their notes every day.Janie [00:02:53]: Some of our favorite customer love stories, we have a Slack channel called Love Stories. We have clinicians telling us, “Abridge has helped us, from retiring early or we're now finally able toJanie [00:03:06]: go home and eat dinner with our kids for the first time.”Chai [00:03:08]: Save the marriage in some cases.Swyx [00:03:10]: One of the quotes was “We're not divorcing anymore.”Swyx [00:03:12]: I'm asking, “Why?”Swyx [00:03:14]: Because they're working too much.Janie [00:03:16]: But, in terms of where we're going and where we're expanding, we really think about our second and third acts around how do we help health systems save and make more money. Health systems are operating with record-low operating margins. It's getting harder and harder to serve patients and they have regulatory, some tailwinds but also a lot of headwinds coming their way and AI is ripe for helping on the saving and make-more-money piece. And then ultimately, how do we help save lives? The fact that our software and our product is open millions of times a week before, during and after a patient walks in the room, gives us massive opportunity with products like clinical decision support, which Chai is building but so many others to improve patient outcomes and probably one of the most important workflows and problems to be going after right now.From Glean to Healthcare: Context Is KingJacob [00:04:04]: One thing that's interesting, Chai, is you came over to Abridge from Glean and clinical decision support, which for our listeners is, in the context of a visit, helping a doctor figure out the right type of care. It's really a search problem in many ways, going through lots of different data sources. Very analogous to your previous role as one of the earliest engineers over at Glean. I'm sure a lot of our listeners are curious what's similar about the problems that you're going after now and what feels different, now that you're in healthcare.Chai [00:04:33]: Very similar. Taking a step back, with every wave, there's a lot of very similar patterns that happen across different products. A lot of social networking products look the same. A lot of credit-based products look the same. And we're seeing that very similar in the agent era with many companies, of course, in Redpoint's portfolio and so forth. And the key insight between both companies is that you have amazing models but context is king. Context is what puts them to work. So I see it in a lot of ways, a lot of similarities in this is a healthcare-coded version of Glean but the differences are really interesting. A couple things that come to mind. First and foremost, the rigor of the setting we're in. The downside risk is extremely high here in healthcare. It can be fatal in some cases. You prescribe something that the patient is allergic to for example. Whereas at Glean, it's “Oh, you got the question wrong.” It wasn't the end of the world in most cases. And so what does that mean? That shapes our evaluation strategy, both offline evaluation, progressive rollout and there's a lot more we could go into there. Second thing that comes to mind is, vertical versus horizontal. In both cases, there's a large variance but when Glean is, it's a much more horizontal company, there's a variance of personas, companies that you're working with. We also have a variance of personas, different types of specialties, different hospital systems. But the variance is a little more narrow. So from a product perspective, you're able to focus far more, especially when you have a maturing technology and you're building new products that never existed before. It lets you go after them much more easily and especially in healthcare where so many problems were solved with labor and process, that it's extremely ripe for AI to keep helping augment and enable. And the final thing that's really interesting, Abridge specifically compared to many other companies in the AI area, is the modality we started with where we're ambient and we're always listening in the background. And many more AI products will go that way but it's how we started. And that's the greatest form of AI we can create, AI that's seamless. You're not looking at your screen. It's always there. It's always helping you out and being proactive. The Jarvis vision that, every hackathon I went to over the past decade, there was always a Jarvis competitor. But Abridge very much started from the opportunity and continues to go that way.Ambient AI and Alert Fatigue: When Should the Product Interrupt?Jacob [00:06:57]: One thing that is super interesting then from a product perspective is you have this always-on seamless in the background and then you have to decide when you break the wall almost and say, “Hey, clinician, you might not have thought about X,” or whatever it is that you want to do. And in healthcare traditionally there's been this idea of alert fatigue and a million pop-ups and then a doctor just ignores all of them. It's probably a pattern that a lot of builders are thinking through now. How do you think about the right way to intervene or to pop up in a doctor visit?Janie [00:07:26]: It's such a good question. Alerts are notorious in healthcare specifically. Over 90% of alerts are ignored. The first and most important thing is context is everything, as Chai alluded to and I also think about how do we go from being reactive alerting to really proactive intelligence at the point at which it matters most. One thing we like to say is we want our product to feel like air conditioning. It should be in the background just making things better and if there is something that has great clinical risk and we're acutely aware that intervening now and not later is incredibly important, we should decide to act. But if you think about proactive versus reactive, instead of alerting a clinician during a visit when they're with their patient having a pretty serious and sensitive conversation, how do we prep a clinician before they walk into the room with that patient? And so historically, clinicians might have to manually go through charts with a patient that they've had over the course of months or years and they'll try to suss out what are the things they should be doing. You can imagine a world with Abridge. We'll summarize all of the most recent context for you, tell you based on the reason for a visit the patient is coming in for the types of things you should be discussing. And so you're going into that conversation prepped rather than walking in cold to that patient visit and then having this product interrupt you five or 10 times throughout the visit. And there might be times where it's really important to interrupt. We have a product called Prior Authorization and so this is when you may go into a doctor's office with knee pain. They'll prescribe you an MRI and so many of us have had this experience before, where in four weeks you'll get a call saying, “Hey, Sean, that MRI that you were prescribed wasn't approved and why don't you come back in? We'll figure it out.” In a world with Abridge, we might choose to quietly but still alert a doctor in that visit. And alert is probably not even the word we would want to use. Before a patient leaves, we would want to tell the doctor, “Hey, Doctor, before Sean leaves, you should ask him, has he had physical therapy and has his pain lasted for more than six weeks? Because the Aetna plan that he's on in California requires six things. We've already confirmed four of them have been met ‘cause we have all the context. But these two last criteria, if you can address with Sean before he leaves the room, we could guarantee that your MRI is approved before you leave.” And so when you think about clinical usefulness, impact to the patient, there are instances in which if we can catch a doctor while the patient is still in the room, as we think about save time, save money, save lives, we get to check all of those boxes. But when doctors have 15 minutes between visits, we have to be really thoughtful about when it matters.Prior Authorization: Reducing Latency in CareChai [00:10:23]: There's this interesting product opportunity AI has is reducing latency in the world. For example, prior authorization is an example of where care gets delayed and so great AI can reduce that. And the problem with alerts before partially is a technical problem: the quality of your alerts really matters. They're going to get ignored if you get alerts that... Similarly in engineering, where they're noisy alerts that you can't act on. But if you can make really high-quality alerts with both the context, as Janie said, and really high-quality models, then you can create a whole other game.Janie [00:10:53]: And I really like that experience because it starts to tease apart, what makes this so hard and unique. One, to make that prior authorization example possible, think about all the data that you need to have. You need to integrate with the electronic health record to know all of the patient context. Do we have access to your previous labs, previous imaging? And then to match you and to know that you're on Aetna, we have to collect all of the different payer policies and they vary by state. Some of these payer policies live on websites. Some of them live in unstructured 50-page PDF files.Jacob [00:11:31]: I thought this episode wasJacob [00:11:31]: To make sure we didn't scare people from healthcare.Janie [00:11:34]: But when you think about the things that make it hard, it also gives you the moat.Janie [00:11:39]: And then the second is the AI and the model quality we need to be able to hang our hat on. And so the bar, similarly when I worked at Opendoor, I worked on pricing models. Every outlier wiped out the margins of 30 and so similarly here in healthcare, the bar for accuracy is so high. And then I'd say the last is workflow is everything. If insurance companies deploy AI, it typically happens too late and this is when you have the notorious comical examples of AI just fighting each other when it's too late. But if we can pull forward the use of both the AI but also the ability to solve problems when the patient's in the room, you can start to collapse what typically takes weeks or months after your visit, ideally down to minutes or real-time. And it's where healthcare is both very difficult but also extremely rewarding if you can crack it.Product Form Factors: Mobile, Desktop, In-Room Devices, and ARSwyx [00:12:36]: Just to get some baseline on the form factors, because I've seen some videos on your website and stuff. You guys talk a lot about ambient AI. Is it primarily on the phone? Is there any other form factor that people get Abridge in? Is there an Abridge room setup where it's always on? I don't know.Jacob [00:12:55]: An Abridge podcast studio.Janie [00:12:58]: Primary form factor is mobile and desktop. UsuallyJanie [00:13:00]: Clinicians are walking in and out of rooms with mobile but at the end of the day, when they're closing out their notes or wanting to prep for the day ahead, they might use desktop. We have been having a lot of really interesting partnership conversations with a lot of these in-room device companies as you think about the power of multimodality and even more data, as you think about all of what is not captured today. It is fascinating to think about, especially even as we go into building and scaling our nursing product. It's one where nurses constantly, as they're walking in to check in on a patient for two minutes or maybe even 30 seconds,Janie [00:13:43]: Starting an Abridge experience is probably going to take longer than the visit. And so what can we do with in-room devices that are always on starts to raise really interesting and fun product questions.Swyx [00:13:54]: I was thinking, the way in tech companies we have all these Google MeetSwyx [00:13:58]: And other things, we might as well set up entire rooms with just Abridge tech.Chai [00:14:02]: Very much. AR glasses and related form factors are also relevant: how do we bring the information to the clinician in real-time without a screen, while still letting them focus on the patient?Swyx [00:14:18]: Do you think they want that? I'm skeptical of AR, but I'm curious what you've tried.Chai [00:14:26]: Admittedly, it's not a near-term product roadmapChai [00:14:29]: By any means. I'm being far-fetched.Jacob [00:14:31]: There's some sick AR stuff for surgeries.Swyx [00:14:33]: Really?Jacob [00:14:33]: When people are trying to visualize, you're about to make an incision but you want to see, what the cut might look or what the body might look like inside and they can layer in imaging.Swyx [00:14:43]: That's cool.Chai [00:14:45]: At some point in the future.Janie [00:14:46]: But there are a lot of our largest customers and at the largest health systems integrating already and so even as we think about building into it, unlocks a lot of product capabilities.Swyx [00:14:57]: And just to establish the terminology. Sorry, and I know I'm asking basic questions somewhat for myself but also for the audience who might beHealth Systems, Buyers, Clinicians, Patients, and PayersSwyx [00:15:05]: Less integrated. When you say health systems, it's like the Johns Hopkins, the Kaiser Permanentes.Janie [00:15:09]: Mayos, the Kaisers of the world.Swyx [00:15:10]: These are your customers, right? And the outcome that you deliver for them is happier doctors, reduced cost of processing, reduced mistakes. It's weird in a sense that I feel like there's also, a secondary customer, the customer of the customer and I don't know if you — do you think about it that way?Janie [00:15:28]: The other interesting and complex part of building product is we have our buyers, who are the chief medical information officersJanie [00:15:39]: The chief financial officers, the CIOs of these large health systems. Our users today are clinicians but if you think about who downstream is impacted, it's patients. And so as we build, with every product in mind, we think about who we're building for, who the secondary user is and what does that mean either in terms of experience, security compliance, ROI that we have to make tangible. And so like you said, time savings is one of them. But for CFOs, they care a lot more than just time savings. We have to show for every dollar you put into Abridge, because you have more compliant documentation or because you have fewer queries coming from your billing team, we save or add real dollars to your bottom line or top line, are things that we're constantly thinking about because of the dynamic across all three sets of users.Chai [00:16:32]: There's a whole other axis too with the payers and pharmaChai [00:16:35]: as well. Connecting all these three big stakeholders in healthcare isSwyx [00:16:39]: Do the payers ever see your data? Sorry, the payers meaning the insurers, right?Chai [00:16:44]: Yes.Swyx [00:16:44]: They also see Abridge data?Chai [00:16:47]: NoSwyx [00:16:47]: Like the direct integration to you guysChai [00:16:48]: They wouldn't see the raw Abridge data but when you're working together on something like prior authorization, whatever information they need, we'd communicate to them.Jacob [00:16:59]: That's cool. I would love to dig into the AI side. You still have a lot of problems on the AI side. And so maybe to start at the highest level, what's one of the hardest problems you have to solve in AI at Abridge today?The Hardest AI Problems: Quality, Latency, and CostChai [00:17:11]: To make things simple, let's take, building off the prior auth example. So one thing Janie talked about is okay, this data is all over the place and there's this combinatorial explosion of procedures, payer policies and even sometimes different health systems. There can be some cross-product of all of these different considerations you have to take into account. But what's really hard about this problem is doing it real-time in the conversation. So, in any AI product, usually the three KPIs you care about are quality, latency and cost. Now, what we're saying is we want you to do this real-time in the conversation, guiding the clinician. How do we do it in a way that does not break the bank? But we're using — But we also need very intelligent models because you're working with this cross-product of data and this, all this context layer as well. So you need high intelligence and high-quality because you don't want the alert fatigue but you also need to be fast and cost-effective. And so that's where a lot of clever engineering goes. It's okay, without getting into all the details here, can you model these policies in some intermediate representation or other things that you can do that can make this problem tractable? And of course, the Pareto frontier is always changing but we are also trying to do this now.Model Strategy: Third-Party Models, Proprietary Data, and Medical ConversationsJacob [00:18:26]: What implications has that had for what you take off-the-shelf and say, “ what? We don't need to be world-class at X. We'll just take this from the model providers or from some infrastructure player,” and what you're “No, this is where we spend most of our time focused on”?Chai [00:18:38]: This is, the fun challenge in AI?Jacob [00:18:42]: It changes every three months? SoChai [00:18:42]: Of course, with the shifting landscape, we try to be extremely thoughtful on predicting the trends of where third-party models are going and where we can uniquely go. And, sometimes when you talk about AI models, we're the models are just going to get infinitely better. But I don't think... It may be in the grandness of time you could say that but, within every month, every quarter, there's specific ways they're getting better. They're training on a lot more, coding data to be better coding agents, for example. And soChai [00:19:14]: We have to think about where are the things that won't — unique data that we're uniquely training on or to step back a little, where is a proprietary model bringing advantage to us is if it can give higher quality or lower cost and latency for similar quality, very similar to many other companies. And when we can do that is when we have proprietary data. So, for example, we have on the order of eighty million or hundreds of millions now getting close to of medical conversations.Jacob [00:19:44]: It's insane.Chai [00:19:45]: This is a unique data set. And this data set, it's very interesting because this data set is effectively a large part of the trace between the patient and the provider. That's where the quote-unquote debugging happens in healthcare. We have these traces at scale, as in as, our CEOs even called it, an exhaust that comes out of our product. And so when you have these traces, that's how you can train better agents on certain use cases, whether it's your transcription diarization use cases or so on or like note generation models and we can do that much cheaper and faster. But we're always also working with these third-party model providers. We closely collaborate with them and that's how we predict where the trends are going. The thing that I think about a lot is that, I know that the model providers are going to train much more on agentic workflows and so forth, so that's great, so that you have a better agentic harness. But the other thing that's interesting is that the model providers, because a large class of the consumer model providers is healthcare queries, that they might, optimize to train a lot of healthcare data to encode the knowledge in its weights. And this is just a great thing for us as well, where the off-the-shelf models can keep bett-getting better at general healthcare information, such that what our strategy is, we have a constellation of models, we can use something for this, that and, we only care about, at the end of the day, the best product experience.EHR as File System: Agentic Workflows and Real-Time InterfacesJacob [00:21:07]: And, you have, overall capabilities improving. I'm curious, as these models get better, is there something you look at and you're “, three months ago, we really couldn't do that but God, the the latest models really allow us to do it”?Chai [00:21:19]: So here's something interesting that I've, been toying with. So all models are... This wasn't super obvious a year ago but now it's become clear and clear that almost every agent is a coding agent underneath the hood? So you give it whatever file system, it can write its own code and so forth. So when you think about within healthcare and the use case that we have, you can think of the EHR effectively like a file system. It's just — it's a storage of all this information. It's a lot of information there that cannot fit into the context window, at least of today's models and you want to use that context effectively for all these product use cases we're talking about. And so if you have better agents that can, manipulate data, read that data, treat it as a file system as we see they're going and we know model companies are investing this way, then that very directly benefits us.Swyx [00:22:09]: Yeah. Okay, cool. Again, just establishing basic things. But we're going back to the model stuff. I'm really interested in double-clicking more on the real-time, element, which is pretty important for both of you. Is it — Is real-time just batches of every one minute, every five minutes? Is that how we do it? Or is there some more native, genuinely real-time in the sense that OpenAI has a real-time API or Gemini has a real-time API?Chai [00:22:35]: Yeah. Yeah. So today it is more on the on the batch basis but there's interestingChai [00:22:41]: Prototypes that we have that we're still not fully, full time, voice in text out or in that sense. But, can you trigger your models, your agents or agentic workflows, depending on the right times in the conversation?Chai [00:22:58]: And so you can imagine, different techniques to bring this latency down and, you want to bring the feedback loop down as much as you can. And so a lot of clever engineering there without fully... Maybe one day we'll do full voice in and text out, train a model to do something like that.Swyx [00:23:15]: You do — People don't want voice in voice out?Chai [00:23:18]: Now we aren't creating experiences that are, during the conversation, inter — It's almost likeSwyx [00:23:25]: Might be too disruptiveChai [00:23:26]: Too disruptive until, who knows, maybe eventually you could have full voice agents once we — the quality and we improve the comfort of the technology. But right now gra — that change is much more gradual and it's more text focus, text out.Janie [00:23:42]: And so much of currently what our product is trying to do is allow a clinician to focus on their patient and maybe at some point but right now patients, clinicians don't want a third voice, at least in a literal voice in that room. And so how do we be there with all the contacts and information ready at hand when there's the right moment?Personalization: Individual Doctors, Specialties, and Health SystemsJacob [00:24:03]: Jenny, one thing I'm curious about is how you think about, personalization in the product. I imagine, every doctor is a special snowflake in their own way, has their own way they like to do things. There are probably a bunch of different approaches you could take to doing that, both within the model layer itself but then also just with clever prompting or engineering. How do youJacob [00:24:20]: Deliver on that?Janie [00:24:21]: It's such a good question. Personalization is massive for us. We think about personalization at three levels. The first is at the individual, the second is at the specialty level and then the third is at the health system or the organization level. To your point, there are a lot of individual preferences. You-When a note is produced, it almost is a reflection that is so deeply personal of a doctor's work and how they give care. And so do they have preferences on things like style? They might want bullets versus paragraphs, really concise versus comprehensive. They also might have phrases that they really like to use or the templates that they want every note to be structured. And, we see it in our feedback all the time. We want two spaces in between sentences or I refuse to use this tool. And so that's something that we've had to build in. And the tricky part is how do you make sure that stylistic preferences don't interrupt accuracy and quality and that's something that we've really had to refine and hone over time. Second is at the specialty level. A cardiologist note or workflow is going to look very different from a dermatologist workflow.Jacob [00:25:32]: I assume cardiology notes are the highest stakes for you guys, given your CEO is a cardiologist.Jacob [00:25:36]: It's “Oh my God, make sure we get this one.”Janie [00:25:37]: Shiv, our CEO, is still a practicing cardiologist. He rounds once a month. And so, first call when we want just quick and easy user feedback too.Janie [00:25:46]: But, specialties require a lot of personalization, both in terms of what does the product look and so we make sure that as new users onboard, we catch that and the product proportionally reflects that. But also on the back end, evals at the specialty level, they are hard-earned to calibrate and get. What does a really great dermatology note look like? What makes it complete? What makes it compliant and billable is very different than a primary care doctor. And so it's not just about what does the product experience look but on the back end tuning and really deepening our understanding for the specialists. What does great output look like? And that's, a problem that we need to calibrate internally, externally, online, offline but, takes lots of cycles but is necessary in a high-stakes environment. And then at the health system level, for products like clinical decision support, you have health systems who've spent years or decades refining their best practices and they want to know, “Hey, we love your clinical decision support product but how do we embed our own hospital guidelines into them to inform clinicians before, during or after a visit what brest — best practices should look like?” And as you think about, deepening moats as well, when health systems, trust us with that data, allow us to productize it and directly into the clinical workflow, makes us a really great partner to health systems who want to build something that truly meets their needs, their practicing guidelines.AI Slop, Memory, and Product Data FlywheelsChai [00:27:23]: And I want to add onto that. The for the clinical documentation problem, it's very similar to AI writing that doesn't feel like your own and then we call that slop. But the way I describe one framing of slop is like AI without context. But we have all that context and both the clinicians, can have it and can guide it. And so part of the other interesting exhaust for us is, memory is, one of these new systems recordsChai [00:27:49]: Almost.Janie [00:27:50]: And we also have all the edits people make on our product and when you think about a data flywheel and how we get better over time becomes really powerful as a mechanism to just going deeper in personalization.Jacob [00:28:04]: It's interesting. I love this idea of working with systems on the guidelines they built up over a long time. I feel like so many of the best AI app companies today are... The question is: How do you take the expertise that a law firm or a bank has built up over many years and then add that as context and also a special sauce over, a an AI tool? And so seems like y'all are really doing that very effectively.Janie [00:28:24]: We're now starting to have our customers ask, “What are other customers doing?”Janie [00:28:28]: “And how are they doing it?”Janie [00:28:30]: And as we think about having visibility across such a large set of care being delivered right now, a really interesting place we could also partner.Swyx [00:28:40]: I'm just curious. I — This may be a nothing question but, how different are health system guidelines from each other? Don't they all converge to the same thing? And if not, where do they differ?Chai [00:28:52]: At a really high level, they're going to talk about very similar things but the difference is probably in some more of the details. “Oh, you should refer to specialists only when XYZ conditions are met,” or so forth and maybe different organizations have different practices and guidelines around that. But high level, talking about similar things but the details are what, of course, that shapes the context and the decisions you make.Swyx [00:29:15]: And this all goes into the context engine and it might affect the notes but maybe not.Chai [00:29:21]: The — For these local pathways, we're definitely thinking about it a little more for our clinical decision support product.Chai [00:29:26]: So yeah.Swyx [00:29:27]: Which is your stuff, yeah.Swyx [00:29:28]: And then the memory which you raised, let's just tell us more about that. What have you tried in memory? What's the structure of the memory? What works? What doesn't work?Chai [00:29:38]: There's, of course, many different ways you could do memory, where it's okay, can you bake it into the model weights or can you do it in some external store? For us, what's interesting is, of course, when you think the models are rapidly changing, whether it's in-house or third-party, baking into the model weights, sometimes you worry that it could be a little throwaway. And so, how do you... You need to find a way that you decompose the problem, the preferences from the underlying models and so forth. The thing we're right now most both that's easiest to start with and we're excited about is having, a separate store for memory, where you have, for example, a memory sub-agent that's, working in the background, figuring out what are the important parts of the clinician's actions that we want to remember for the long term. And then you can also imagine, other things where in the — you have background jobs that are running that are collating these, memories similar to Sleep, of course and what other pattern, patterns products do as well. Learning over all these action, all the action data we have, again, note edits, the conversations they did and the actual transcripts.Evals: LFD, LLM Judges, and Clinical SafetyJacob [00:30:40]: What about evals? How in the world do you... It is such a complex product surface area. We would love to hear you riff on that and also how has that evolved? I'm sure you've gotten better at it, so any learnings along the way.Janie [00:30:50]: From an evals perspective, we, from day one when we build any new product or feature, we think about, what does good look like? And there are table stakes things like clinical safety but then you start to get deeper into what does good quality look like. And when you go into something like our core product, there's stuff like style and completeness and there's things like does this note become something that can be billable, which is very high stakes for a health system. We have a number of ways in which we get confidence for this. We have, internal in-house clinicians who do what we call an LFD process to give us our very first pass at is this or isn't this a good enough output, look at the effing data.Jacob [00:31:41]: LFD?Chai [00:31:42]: That's why I was smiling. I was “Is Janie going to mention what it stands for?”Jacob [00:31:46]: I was not... There's like a million acronyms.Jacob [00:31:48]: How am I supposed to know that I don't? So “Oh yeah, of course, an LFD.”Swyx [00:31:51]: I've never heard of LFDs.Chai [00:31:53]: It's a bridge for sure.Janie [00:31:55]: I got through three days and then I had to ask someone.Janie [00:31:58]: I thought it was just me that didn't knowJanie [00:32:01]: It's our internal process.Swyx [00:32:02]: But look at the data as a meme in ML, ‘cause you tend to not look at it. You just want to look at number go up.Chai [00:32:06]: Exactly.Swyx [00:32:07]: But yes.Janie [00:32:08]: But so, we make sure we look at the data and then as we think about all of the components of good output, we, one, create LLM judges across all of these and we make sure with annotated data and either internal or external evaluators, we feel like these judges are calibrated. And then depending on the stakes, we also work with in-house and third-party evaluators across all of these before we ship any big change. And the goal is, in terms of evolution, how do you go from this process taking months, down to weeks, down to days? Some of it is, a true science and ML problem. A lot of it's also just, hard operational work. Have you planned ahead in terms of what you need? Have you really optimized the capacity that you need across all of the different specialties you need? Have you gotten a really good sense of which third parties are great to work with for what use cases? This takes a lot of domain, expertise and, lots of mistakes and errors in figuring that out. And so as much of it is an ML problem, so much of it has also been operational gains that are hugely important, where domain-specific expertise is everything.Specialty-Level Evaluation and Progressive RolloutsJacob [00:33:23]: But it's funny, ‘cause I feel like people talk about healthcare like it's one giant market and the reality isJacob [00:33:26]: It's, dozens and dozens of sub-markets. And so it feels like in your evals you have to build that up across the board, probably.Swyx [00:33:34]: And is specialization the primary cardinality at... That's the word that comes to mind.Janie [00:33:40]: Sometimes, depending on the product or the use case. And so if we're making a note improvement or feature for a particular specialty, definitely but we have products that are for nurses. We have products that, are really aimed at making the document or the output a lot more billable. And so we'll want to work with coding teams and not necessary clinicians. And so likeJacob [00:34:05]: Coding meaning healthcare coding.Janie [00:34:06]: Yes. Yes.Jacob [00:34:07]: NotChai [00:34:07]: Yes. I see you.Swyx [00:34:07]: Other kinds.Janie [00:34:09]: But is this output proportional to the work that was delivered? Is there sufficient documentation to justify the amount that a health system may end up charging? And so, specialty sometimes but also domain, very different across all of the different products that we're working for. And building out that network is, not easy and is where a lot of our operational investments have gone into.Chai [00:34:35]: And I view a lot of analogies to self-driving cars here, where, part of it is we really want progressive rollout of features to test in the real world is this useful? Is this going to work? One big difference compared to past lives is before I'd build a product, maybe I'd alpha it and then I'd like GA it the next week, ‘cause I'm “Go, move fast, ship,” and whatnot. But the mentality is like you... I want to make contact with the reality as quick as possible but I want a progressive rollout. Because as much as I get as large of an offline eval set, I want the distribution of that to match real-life distribution. And over time, by rolling out early, similar to Waymo has a tagline, “The world's most experienced driver,” another thing that can, at least linearly increase for us is, both the size of our evaluation offline and online, that and it all feeds back.Janie [00:35:25]: Something that's been earned over time, speaking of evolution, is just the trust we've gotten with customers. Historically, a lot of these health systems, when they bring on new vendors, their release cycles are quarters, sometimes twice a year. We've gotten our customers onto monthly release cycles, which is pretty fast for health systems but what is more exciting over the last, call it, few quarters, has been, a subset of our customers have said, “We want to innovate with you. We trust you,” and we have a pretty, decent chunk of our customers who say, “We'll develop with you outside of these monthly release cycles. We have a higher tolerance. We know that the stakes are very high but we want to be the first ones using these products, giving you feedback.” And so for a pretty substantial set of our customers, we've been able to convince them to be able to ship, in this gradual way before GA. Something we talk about a lot internally is, trust is earned in drops, earned in buckets and so we still can't do what I used to do when I worked at Loom. We had 30 million users. I'd just be, rolling out experiments left and. The bar is still quite high for iterative rollout but because of the trust we've earned, we're able to learn at pretty high volume very quickly.Privacy, HIPAA, and De-IdentificationSwyx [00:36:45]: Your scale is still pretty huge.Swyx [00:36:47]: One thing I want to... We were going to go into scale? In a sec. One thing I wanted to call up, follow up on evals, which, again, just coming from a generalist engineer point of view, just thinking through what would people be scared of in doing this, the privacy and HIPAAJacob [00:37:00]: Elements of this. I have zero experience in that. What do you have to do? What is surprisingly not that bad?Chai [00:37:06]: So one thing that's really important here from a compliance perspective is very much that any of the data we use needs to be de-identified, any real-world data we use as a basis of online eval sets we're learning from. And so you have to — And there's, very clear, government guidelines, what counts as PHI. And so we've even have built models that can take, for example, a clinical transcript and remove all the key PHI indicators and so you have a scrubbed/de-identified version. And then once you... And so one thing that's important is first you've got to get confidence in that model in the first place? And prove that out. Because, now you have, multiple probabilistic systems on top of each other.Chai [00:37:46]: But once you have that, then you can train on it use it for evaluation and so forth, provided one of the cool things also that you can do from a business side is the right data contracting as well with your partners.Jacob [00:37:57]: Is the anonymization one way? Once it's done, you cannot undo it? Or is there someoneChai [00:38:01]: YesJacob [00:38:02]: Who holds the master key that can... Yeah, okay. So it's one way.Chai [00:38:05]: It's one way. Yeah.Jacob [00:38:06]: That's how it works. I just wanted to... Because, there's a lot of this, learning from feedback and everything that, you would want to debug more but you can't because you just physically don't allow yourself to.Janie [00:38:17]: Some of it's also written in our customer contracts in terms of who can or can't access PHI data, how long do we retain it,Jacob [00:38:27]: Very goodJanie [00:38:27]: Before it gets de-identified. And so we have a pretty high bar for who can access that PHI data, just to make sure that we always respect our customer data and privacy. But that's something that we partner with our customers on too, to make sure that as we want full, as close to precision as possible in that qualityJanie [00:38:48]: We can still use it.Jacob [00:38:50]: But it'll be fascinating to see how that space evolves? Because you think about, I used to work at a company that, did a lot of healthcare data in the cancer space and if you asked, the average cancer patient, “Hey, do you want people, do you want other patients to be able to learn-”Chai [00:39:03]: Take it.Jacob [00:39:03]: “... Learn from your experience?”Chai [00:39:04]: Take it all.Jacob [00:39:05]: They're “Please.”Jacob [00:39:06]: “I'd love, nothing more than for other people to be able to learn fromJacob [00:39:10]: The experience that I had.” And so in the past it was a lot harder to do that learning. But with this technology, that might really be practical and so it'll be fascinating to see how that continues to evolve.Chai [00:39:21]: There's so much in our data set of 100 million conversations.Chai [00:39:26]: You can imagine things like insights that you can give to the clinician. How could you, oh, how could you have reacted to this? In coaching or insights around, which treatments are effective or, like... Because you have this, again, this data source that was never captured before but that's, where, intuition or experience is created from, going back to this idea that the conversation is the agent of truth.Operating at Scale: Reliability, Cost, and Token EfficiencyJacob [00:39:46]: Back to the 100 million conversations, I feel like you have this insane scale that maybe only a few other AI app companies have and everyone else dreams of. So not everyone has had to confront this yet but maybe just talk about some of the challenges of operating at that scale and what, our listeners have to look forward to if they ever get to this level of scale.Chai [00:40:05]: At large and larger in scale, so of course there's a general, infrastructure reliability. When you... In any given startup, you're building the plane while it's flying. So there's some notion of that. But what gets interesting on the AI and ML side for sure is this, as you get at more and more scale, so one, you have the data to first and foremost do this. But, you start thinking about costs or infrastructure in a whole different way at scale versus, a prototype.Chai [00:40:34]: You can use the most expensive model, you can burn as many tokens as you want but when you're doing 100 million conversationsJacob [00:40:41]: Token max on leaderboards are less upsetting than that context.Chai [00:40:45]: . When you're doing that and so that comes for we have the data and we also have the team that's able to post-train based on this and you can optimize for efficiency, especially in areas where you believe that maybe a lot of the quality headroom is less so and you don't expect the other off-the-shelf models to go that way, such that you want to do, efficiency maximization, in terms of compute and tokens.Jacob [00:41:08]: I feel like you guys live in the future in some way where most use cases today are really just in use case discovery mode, where it's “God, I really hope I can find something that can get to scale,” and so you're always going to use the most powerful model. And then the few things that do get to this level of scale, you start to do those optimizations.Chai [00:41:22]: It's a natural trajectory where it's like zero-to-one, we're not talking about any of these optimizations.Chai [00:41:26]: But when maybe we're in the one-to-100 or so forth, then we're in optimization mode and, what works out really well is you've got all this data from zero-to-one that lets you do this.What Comes Next: The Conversation as the Shared Healthcare PlatformJacob [00:41:36]: That's fascinating. I feel like one thing that's so interesting about the Abridge footprint is that you're in the doctor-patient visit in real-time. I always like to say, there's like probably 50 years' worth of product you could build on top of that. What gets each of you, I don't know, what are you most excited about building, either in the short term or medium term or even, long down the line?Janie [00:41:53]: Something that I get really excited about is that the same conversation can serve so many stakeholders. If you think about the conversation, a doctor needs to know what is the documentation, how do I make sure that this fully represent the care I gave? A patient needs to know, “What the heck just happened? This was really overwhelming. What are my next steps?” A payer needs to know, was this the proper and appropriate care given? A pharma company might want to know why isn't this drug being properly used or is there a good candidate for this clinical trial that I'm about to run? And where I get excited is that our product and our platform and our infrastructure can be the same product across all of those things and start to what's today, separate, very expensive, complex systems that serve each one of these stakeholders in very different ways, start to collapse all of that into a singular platform that enables not just more efficiency across the board but also better outcomes for everyone. And, all of us experience healthcare in probably very painful ways and knowing that there is a world in which we can simplify a lot is really exciting to me and it all starts with the conversation.Chai [00:43:15]: It's interesting. Of it very similar to going back to the KPIs that any AI product cares about. How do you increase quality of care? How do you reduce latency to care? And how do you reduce costs? Which is a huge, in healthcareJacob [00:43:28]: They call it the triple aim in healthcare.Chai [00:43:30]: But very similar to building AI products and the thing that really excites me is when we talk about that latency piece, we talked about one example earlier of prior authorization, can you reduce the latency to care? But you can imagine so much more. Oh, as soon as the lab value gets updated, do you have like a background agent that, kicks off and uses all the context to be “Oh, hey, the patient should do this next,” for example. And of flagging that to the clinician who's always in the loop but reducing that latency, to care. And then you can imagine this is much further down the road but it's like even connecting that to the direct patient and the consumer. And so how can you, how can you build a bridge to all of these things?EHR Partnerships and the Clinical Intelligence LayerJacob [00:44:10]: Very cool. The connections piece is just an ever-growing thing. And one of the key partners is the EHR and I wonder what that relationship is like. Will they, look at this as, something that is valuable enough that they want to own someday?Janie [00:44:29]: Our partnerships with the EHR is, we know that we have to be extremely close partners with all the EHRs who we partner with. Being able to not only pull and push all of the data into the right places is, not only table stakes, if we can't do that, health systems don't want to use us. The second and the reality of today is clinicians spend a lot of their days in the EHR. So much of what allowed us to win in the largest health systems was pretty direct and, very close partnerships with some of the largest electronic health records that allowed us to pull and push data with APIs that weren't ready out of the box. And clinicians want to save clicks. Anytime we introduce a new product that, adds two clicks for them in their day, they're “We're not going to use it.”Janie [00:45:21]: They have 15-minute back-to-back appointments with their patients. They're spending, hours during pajama time doing documentation. Every second and every minute counts and so we really think about being deeply integrated into the EHR as also table stakes to getting real usage and adoption. And anything that we build or introduce, we really talk about earn the right internally a lot, which is we have to provide so much value or save so much time that people will use us. But those are the two things that are close to us, is we know that the product won't be used unless it is deeply interoperable.Chai [00:46:01]: And strategically, to your point, it's like what does EHR want to own versus us? EHRs are really focused on the clinical workflows and so forth but some of the things that we're talking about here, I do these traditionally are outside of the domain where it's oh, connecting pairs and providers together with provider policies or the clinical trial matching, as Janie brought up. And so these are, entirely — we position ourselves as building this entirely new intelligence, clinical intelligence layer across, again, providers, pharma and, payers.Chai [00:46:33]: And so that's a it's a whole different ballgame that we try to playChai [00:46:36]: In combination with them.Jacob [00:46:37]: But it's like a different layer of scope.Healthcare AI Regulation, Technical Depth, and What Changed Their MindsJacob [00:46:39]: I'm curious, you are both relatively newcomers to healthcare. People have these, there's lots of futuristic healthcare AI takes of “Oh, everything will look different.”, now that you've been in healthcare for a bit, you live at the edge of AI, what have you, changed your mind on around this, as you think about what healthcare looks like in ten, 20 years? Any updates to your mental model from the time being close to the problems?Chai [00:47:02]: One thing that IChai [00:47:04]: Was hesitant about before and it's a common thing when I'm trying to recruit engineers that people ask me around, is definitely oh, healthcare, heavily regulated space. And it is, rightfully so. You want to keep, the patients at the end of the day safe. But one of the interesting things that, is a that surprised me how much it is coming to the company is there's a lot of really favorable regulatory tailwinds as well. Where you think about, government really wants interoperability between all these systems that we talked about and so agents can access this information. The government just in January, the FDA released updated guidance on clinical decision support, what I work on in such a way that they used to have guidance from like 2022 that required you to have, mention all these options and do all these other things but it's a very forward and forward-looking way. And so for me, what's been really cool to work on is this, there's this very special moment both in AI in general, we all know that but there's a special moment also regulatory in healthcare as well.Janie [00:48:05]: One thing I would call out is for the very reasons things are higher stakes or, potentially considered more difficult in healthcare, it's where some of the hardest AI problems will get solved first, just because the bar is so high. When I first joined, I was “Oh, this is where we'll be on the tail end of where, all of the AI innovation will be able to be applied.” But when you think about, zero error evals or multi-step workflows that have really low tolerance, a lot of the innovation will happen here just because we have to or else we can't ship.Jacob [00:48:42]: ‘Cause like in other domains, you'd much rather just solve the 80%-is-good-enough problems firstJanie [00:48:46]: 80/20 doesn't work hereChai [00:48:48]: And building off that, traditionally, there was a bit of stigma that, oh, healthcare companies are not that interesting from a technical perspective or I've seen that or faced that myself. But these are really hard and fun problems from a pure technical perspective beyond just the impact. How do you bring the latency of this thing down and make it really high-quality?Reducing Latency: Clinical Workflows, Agents, and Implementation RealityJacob [00:49:07]: How do you bring the latency of things down?Chai [00:49:10]: Yeah. Yeah. Yeah. So okay, let's answer the latency question. And maybe hopefully not too redundant with some of the things I've said earlier but some part of it is with any latency, you have to like what is, what is really your bottleneck. In a lot of workflows, it's sometimes it's the model itself. And so that's where like our data flywheel, our post-training team and so forth come in so that can you make the models far more efficient. So that's one aspect of latency. But there's whole other aspects of latency where it's okay, on top of that, if you use a constellation of different models, can you use — can you first use like a — it's like thinking fast and slow. Can you use a cheap, fast model that triages and hands it off to a larger model where you get more intelligence and so forth and so all theseChai [00:49:56]: Clever tricks to make it work.Chai [00:49:58]: And by the way, we are totally — we also realize that the parameter frontier is changing and so these tricks will — may not get us to where we want to be in five years but we need to if we want to build a useful product right now.Jacob [00:50:11]: Should we go to the quick-fire or you want to ask more about Abridge? We can stuff everything that's not Abridge into the quick-fireSwyx [00:50:16]: I don't mind. I was — I feel like Janie was on the topic of more long tail stuff, which isSwyx [00:50:21]: Not the eighty/twenty thing and that really matters. And I'll —, if you have any tips or cool stories or just general approaches that have worked for you that's interesting to dig into.Janie [00:50:32]: One of them is even just how we staff our teams looks different than a traditional software engineering team, I'd say.Swyx [00:50:40]: Let's go.Clinician Scientists, Edge Cases, and Evals at ScaleJanie [00:50:41]: We have a bunch of folks with different roles who are clinicians and so we have this role called the clinician scientist and I heard one of our leaders refer to them as mutants recently. But they are people who've had clinical backgrounds, so MDs typically, who are also deeply technical, somewhere, on the spectrum of like a full stack engineer all the way to like extremely scrappy prompter. But having each of these people embedded within our teams instantly raises the bar for everything that we build because not only are they determining, is this product clinically useful but they're deeply embedded in our whole evals process. And so when we talk about LFDs, when we talk about what is our actual evaluation criteria, you don't want Chai or me creating what those are because we don't have clinical background. But is probably unique to Abridge but has been game changing. And when you think about where the puck is going, you have people build with clinical backgrounds who are technical and where AI tools are going, they just becomeJanie [00:51:53]: More and more, critical and like the killers of the team. And so that's one. And then the second is just the scale at which we do evals to catch that long tail up front before anything ever gets into production is something that we've pretty much like really started to fine-tune, both from a scale but when do we know we need to get several hundred versus several thousand offline responses, what helps us make that quick decision and make this less of an art and as much of a science as possible. But that's also been something we've had to tune over time.Swyx [00:52:27]: And you have partners who opted in to give you those evals.Janie [00:52:31]: So we work either internally or with third-party for offline evals and then we have customers who also agree to give us, whether it's like thumbs up, thumbs down to like choose this or that, a lot of data to get us to what is as close to fully confident as possible.Swyx [00:52:51]: The term that comes to mind isSwyx [00:52:53]: Like active learning on things where you're weak. I feel like it's a lost artSwyx [00:52:58]: Is a lot of the polish that comes into doing something like this.Janie [00:53:02]: Really.Chai [00:53:03]: Hundred percent.Lessons from Glean: Technical Foundations and AI App InfrastructureJacob [00:53:04]: Maybe, on a totally unrelated note, Chai, you had a very, storied run at Glean b

In the Riverside booth at NAB in Las Vegas, Danielle Baxter, Business Development Representative, explains how the platform supports podcasting, video interviews, webinars, testimonials, and live streams. She covers options like local recording, separate audio and video tracks, browser-based guest access, built-in editing, branding, captions, producer mode, and flexible plans for solo creators and businesses.  Show Notes: Chapters: 00:02 NAB 2026 introduction00:27 Riverside's expansion beyond podcasting01:03 Bridging the gap between conferencing and production01:43 Built-in editing, branding, captions, and clips02:02 Matching Riverside tools to different creator needs02:44 Desktop, mobile, and browser-based guest workflow03:04 Local recording and separate audio/video tracks04:32 Guest access through links and mobile app options04:47 Live streaming, webinars, and clickable lower thirds05:32 Hardware and browser requirements06:09 Handling storms, power issues, and connectivity interruptions07:01 Producer mode and behind-the-scenes direction07:37 Exporting isolated files for editing08:38 Hobbyist and business pricing options10:00 Where to learn more about Riverside Support:      Become a MacVoices Patron on Patreon     http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:     http://macvoices.com      Twitter:     http://www.twitter.com/chuckjoiner     http://www.twitter.com/macvoices      Mastodon:     https://mastodon.cloud/@chuckjoiner      Facebook:     http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:     http://www.facebook.com/macvoices/      MacVoices Group on Facebook:     http://www.facebook.com/groups/macvoice      LinkedIn:     https://www.linkedin.com/in/chuckjoiner/      Instagram:     https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes     Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

In the Riverside booth at NAB in Las Vegas, Danielle Baxter, Business Development Representative, explains how the platform supports podcasting, video interviews, webinars, testimonials, and live streams. She covers options like local recording, separate audio and video tracks, browser-based guest access, built-in editing, branding, captions, producer mode, and flexible plans for solo creators and businesses.  Show Notes: Chapters: 00:02 NAB 2026 introduction 00:27 Riverside's expansion beyond podcasting 01:03 Bridging the gap between conferencing and production 01:43 Built-in editing, branding, captions, and clips 02:02 Matching Riverside tools to different creator needs 02:44 Desktop, mobile, and browser-based guest workflow 03:04 Local recording and separate audio/video tracks 04:32 Guest access through links and mobile app options 04:47 Live streaming, webinars, and clickable lower thirds 05:32 Hardware and browser requirements 06:09 Handling storms, power issues, and connectivity interruptions 07:01 Producer mode and behind-the-scenes direction 07:37 Exporting isolated files for editing 08:38 Hobbyist and business pricing options 10:00 Where to learn more about Riverside Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

O Linux desktop está mudando. Talvez não do jeito explosivo que muita gente imaginava alguns anos atrás, com uma “nova revolução” aparecendo de uma vez só, mas através de pequenas mudanças que, isoladamente, parecem quase irrelevantes. O curioso é justamente isso, olhando rápido, ainda parece que está tudo igual. Ubuntu continua enorme, GNOME continua dominante em muitos lugares, as distribuições mais tradicionais seguem relevantes e o desktop Linux ainda mantém muito da identidade que construiu na última década.Neste episódio do Diocast, vamos conectar esses sinais, observar as mudanças que estão acontecendo ao redor das distribuições Linux, discutir o crescimento do Fedora, Arch e KDE Plasma, falar sobre SteamOS, Bazzite, GNOME, Wayland, TWMs e entender por que o desktop Linux talvez esteja entrando em uma nova fase, mesmo que muita gente ainda não tenha percebido isso.--- ⁠https://diolinux.com.br/podcast/linux-desktop-esta-mudando.html⁠

In this episode: Mark throws his cook books in the bin and buys a Kobo Libra Colour. Alan tidies up Mojinav and puts the source on github. Martin builds his own Framework desktop. You can send your feedback via show@linuxmatters.sh or the Contact Form. If you’d like to hang out with other listeners and share your feedback with the community, you can join us on: The Linux Matters Chatters on Telegram. The Linux Matters Subreddit. If you enjoy the show, please consider supporting us.

In this episode: Mark throws his cook books in the bin and buys a Kobo Libra Colour. Alan tidies up Mojinav and puts the source on github. Martin builds his own Framework desktop. You can send your feedback via show@linuxmatters.sh or the Contact Form. If you’d like to hang out with other listeners and share your feedback with the community, you can join us on: The Linux Matters Chatters on Telegram. The Linux Matters Subreddit. If you enjoy the show, please consider supporting us.

What happens when you need to change your plans?PostbagLionel Guerraz: commenting and its effects on topic authority.Judith Rafferty: how do we deal with birthdays on LinkedIn?———The main topic is about changing your schedule on LinkedIn and whether it's OK to post about different topics.About statement previews are now 6 lines long on mobile. Desktop previews are still 4 lines long.UpLift Live Nano Bristol: our conference's little brother event is on Thursday 17 September 2026 at The Watershed in Bristol. Come to learn about LinkedIn and network. You get lunch, and if you're brave I'll review your LinkedIn profile in front of the room. Use code EARLY10 for a £10 discount until the end of May. Standard price is £59.I'm off to Creator Day in Poole this week. See you there?Off-topic food postSolo and small business owners: join the Espresso+ community to improve your LinkedIn and online presence. Find out more at jesp.me/joinSupport the show: Informed is not sponsored, so all production and hosting is self-funded. To make a small donation, go to jesp.me/informed-tip – thanks!

Managing Servers, and Kubernetes across on-prem, and multiple clouds, can quickly become complex, especially when you're juggling multiple tools. In this video, we explore how Azure Arc simplifies hybrid and multi-cloud operations by providing a single, consistent control plane for managing your entire infrastructure across Linux and Windows, on-prem, in Azure, or in any cloud. Once connected, you can patch Windows and Linux together with Azure Update Manager, enforce CIS benchmarks and Azure Security Baselines through Azure Policy, and pull consistent inventory, tags, and RBAC across your whole estate. Auto-recover unbootable Windows Server 2025 machines with Quick Machine Recovery, audit and configure WinRE using built-in Azure Policy. Run your virtual machines as Azure Virtual Desktop session hosts on Nutanix, VMware, Hyper-V, or using physical Windows hardware. Satya Vel, Azure Arc Principal Group PDM Manager (https://x.com/satya_vel) shares how to make Azure your operational standard for every workload, anywhere it runs. Learn more about Azure Arc at https://aka.ms/AzureArcServer, or join the community at https://aka.ms/ArcServerForumSignup ► QUICK LINKS: 00:00 - Azure Arc in hybrid environments 00:46 - Transitioning to Azure Arc 02:35 - Unified management 03:43 - How to bring in servers and containers 04:48 - Inventory management 05:30 - Patching 06:48 - Auto-manage future updates 08:25 - One-time update 09:32 - Configuration in a hybrid environment 11:05 - Auditing Windows machines 11:34 - Microsoft Defender for Cloud 13:06 - Desktop virtualization 13:51 - Wrap up  ► Link References For more information go to https://aka.ms/AzureArc ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Comdex belongs to IBM Xmas sales outlook dismal Games get protected in Japan These stories and many more on this episode of the VGNRTM! This episode we will look back at the biggest stories in and around the video game industry in November 1984.  As always, we'll mostly be using magazine cover dates, and those are of course always a bit behind the actual events. Alex Smith of They Create Worlds is our cohost.  Check out his podcast here: https://www.theycreateworlds.com/ and order his book here: https://www.theycreateworlds.com/book Get us on your mobile device: Android:  https://www.google.com/podcasts?feed=aHR0cHM6Ly92aWRlb2dhbWVuZXdzcm9vbXRpbWVtYWNoaW5lLmxpYnN5bi5jb20vcnNz iOS:      https://podcasts.apple.com/de/podcast/video-game-newsroom-time-machine And if you like what we are doing here at the podcast, don't forget to like us on your podcasting app of choice, YouTube, and/or support us on patreon! https://www.patreon.com/VGNRTM Send comments on Mastodon @videogamenewsroomtimemachine@oldbytes.space Or twitter @videogamenewsr2 Or Instagram https://www.instagram.com/vgnrtm Or videogamenewsroomtimemachine@gmail.com Links: If you don't see all the links, find them here:      7 Minutes in Heaven: KnightLore Video Version: https://www.patreon.com/posts/157513930     https://www.mobygames.com/game/14733/knight-lore/ Corrections: Ethan's fine site The History of How We Play: https://thehistoryofhowweplay.wordpress.com/ October 1984 Ep - https://www.patreon.com/posts/october-1984-137843011      October 1994 Ep - https://www.patreon.com/posts/october-1994-151072694         Mortal Kombat Live Tour - https://youtu.be/nbOQIheheDc 1974: 1974 - Creative Computing debuts     https://archive.org/details/CreativeComputingv01n01NovemberDecember1974 1984: Atari claims Coleco to exit UK console market     https://archive.org/details/popular-computing-weekly-1984-11-15/mode/1up Coleco exits the UK market     https://archive.org/details/popular-computing-weekly-1984-11-29/mode/1up Parker Brothers abandons UK     https://archive.org/details/popular-computing-weekly-1984-11-29/page/n4/mode/1up     https://www.sinclaircollection.site/?page_id=520   http://www.fruitcake.plus.com/Sinclair/Interface2/Cartridges/Interface2_RC_Unreleased.htm Hi-Tech isn't UK's savior     Financial Notebook: Hi-tech myth / Employment falls in information, technology industry, The Guardian (London), November 2, 1984      Coinop earnings crater     Play Meter November 1, 1984, pg. 32. Nintendo pushes VS. Paks and standards     Play Meter November 15, 1984, pg. 24     https://en.wikipedia.org/wiki/Nintendo_VS._System Atari Games gets into systems     RePlay November 1984, pg. 16     https://en.wikipedia.org/wiki/Atari_Games     https://www.mobygames.com/game/3929/star-wars/     https://www.mobygames.com/game/21280/star-wars-the-empire-strikes-back/     https://www.mobygames.com/game/17500/star-wars-return-of-the-jedi/ Konami buys Interlogic     https://archive.org/details/game-machine-magazine-19841115p/page/n13/mode/2up     Gung Ho - https://www.imdb.com/de/title/tt0091159/?ref_=nv_sr_srsg_0_tt_8_nm_0_in_0_q_gung%20ho Twin Galaxies looking for world records     https://archive.org/details/guinness1985book00mcwh/page/570/mode/2up?q=video+game        Play Meter, November 1, 1984 pg. 25 Colecovision rides Cabbage Patch Kid coattails     Rainbow Brite, Robots Give Cabbage Patch Kids Run for Money, The Associated Press, November 20, 1984, Tuesday, AM cycle, Section: Domestic News, Byline: By ROGER GILLOTT, AP Business Writer     Cabbage Patch/Colecovision Ad - https://youtu.be/lqZsOeEWDtw?si=k3zoqYsDuL00pxmB IBM conquers Comdex     I.B.M. ENTRY UNCHALLENGED AT SHOW, The New York Times, November 19, 1984, Monday, Late City Final Edition, Section: Section D; Page 1, Column 3; Financial Desk, Byline: By DAVID E. SANGER     Current well-behaved packages leave user dreams unfulfilled, Computerworld, November 19, 1984, Section: MICROCOMPUTERS; Small Talk; Pg. 57, Byline: Eric Bender, CW Senior Editor     Denise Carabet, The San Diego Union-Tribune, November 26, 1984 Monday, Section: BUSINESS; Pg. A-16     Comdex host to myriad micro debuts; Show features few surprises, Computerworld, November 19, 1984, Section: NEWS; Pg. 1, Byline: By Eric Bender, CW Staff          PERIPHERALS;THE ALLURE OF LASER PRINTERS, The New York Times, November 20, 1984, Tuesday, Late City Final Edition, Section: Section C; Page 7, Column 1; Science Desk, Byline: By PETER H. LEWIS     Foreign vendors showcase wares at Comdex;Japanese, Australian, English vendors highlight product introductions in '84, Computerworld, November 26, 1984,Section: NEWS; Pg. 40, Byline: By Susan Blakeney, CW Staff Apple ad spree continues     Apple Goes After Share of Mind Over Market; 'Event Marketing' Has Become Core Of No. 2's Strategy, ADWEEK, November 19, 1984, Eastern Edition, Byline: By Betsy Sharkey and Paul Farhi          APPLE'S MAC TAKING ON I.B.M. The New York Times, November 22, 1984, Thursday, Late City Final Edition, Section: Section D; Page 1, Column 3; Financial Desk, Byline: By ANDREW POLLACK     No Headline In Original, U.S. News & World Report, November 19, 1984, Section: NEWSLETTERS: U.S. Business; TRENDS THAT SHAPE THE FUTURE; Pg. 75 Home computer sales slump in Xmas build up     https://archive.org/details/popular-computing-weekly-1984-11-22/page/n4/mode/1up     Leisure Sector Gives Madison Ave. Big Xmas Gift, ADWEEK, November 5, 1984, Eastern Edition, Byline: By Amy Saltzman, Bob Peischel, Jack Feuer, Betsy Sharkey, Paul Farhi, Dottie Enirco and Fran Brock Atari cuts price of 800XL     https://archive.org/details/popular-computing-weekly-1984-11-22/page/n4/mode/1up         Computer Wars: Atari Announces Price Slash     The Associated Press, November 13, 1984, Tuesday, AM cycle, Section: Domestic News, Byline: By DIANE CURTIS, Associated Press Writer     ATARI MAKES PLANS FOR STOCK OFFERINGS, The New York Times, November 14, 1984, Wednesday, Late City Final Edition, Section: Section D; Page 4, Column 5; Financial Desk     https://discord.com/channels/431269689918750731/618928892232859659/1483821277230792834          Vaughn, Mullen Get CD Posts at WRG, ADWEEK, November 19, 1984, Eastern Edition, byline: By Gail Belsky UK is"meh" on MSX     https://ia600609.us.archive.org/31/items/popular-computing-weekly-1984-11-01/PopularComputing_Weekly_Issue_1984-11-01.pdf  pg. 29 India says "yes" to BBC Micro     Acorn User, November 1984, pg. 10          https://en.wikipedia.org/wiki/Semi-Conductor_Laboratory     https://bbcmicro.computer/scl-unicorn USSR copies Apple     Byte November 1984, pg. 134     https://en.wikipedia.org/wiki/Agat_(computer) Sinclair working on portable     https://archive.org/details/popular-computing-weekly-1984-11-08/page/n4/mode/1up       https://archive.org/details/popular-computing-weekly-1984-11-29/mode/1up ICL goes QL     https://archive.org/details/popular-computing-weekly-1984-11-01/mode/1up     https://en.wikipedia.org/wiki/One_Per_Desk        https://youtu.be/FdmoXjmPPHk?si=-djAjZ1Es0wDCKV2     No Headline In Original, The Associated Press, November 1, 1984, Thursday, AM cycle, Section: Business News         https://en.wikipedia.org/wiki/ROLM         Rolm workstations tie phone, micro;Desktop systems integrate voice, data communicationsions tie phone, micro, Computerworld, November 5, 1984, Section: NEWS; Pg. 2, Byline: By Eric Bender, CW Staff     https://archive.org/details/popular-computing-weekly-1984-11-22/mode/1up QL gets 3rd party upgrades     https://ia600609.us.archive.org/31/items/popular-computing-weekly-1984-11-01/PopularComputing_Weekly_Issue_1984-11-01.pdf PC Jr gets new lease on life     THE USER-FRIENDLY VOTING BOOTH IS POISED TO COME ON LINE, The New York Times, November 4, 1984, Sunday, Late City Final Edition, Section: Section 4; Page 6, Column 1; Week in Review Desk, Byline: By DAVID E. SANGER         Local governments tap micros for electoral activities, Computerworld, November 5, 1984, Section: NEWS; Pg. 16, Byline: By James Connolly, CW Staf     PCjr's second Halloween, Computerworld, November 5, 1984, Section: VIEWPOINT; Lecht on Science; Pg. 59, Byline: Charles P. Lecht; Tandy 1000 debuts     Tandy Unveils $1,199 IBM-Compatible Computer, The Associated Press, November 8, 1984, Thursday, BC cycle, Section: Business News Hitachi shoots for 32-bit supremacy     Hitachi Plans To Challenge U.S. Makers of 32-Bit Processors, The Associated Press, November 29, 1984, Thursday, BC cycle, Section: Business News     Byte November 1984, pg. 159     XTAR introduces 3D accelerator    Byte November 1984, pg. 179         https://archive.org/details/PC_Tech_Journal_vol03_n09/page/n27/mode/2up?q=xtar+polygone         https://www.bitsavers.org/magazines/Digital_Design/Digital_Design_V15_N08_198508.pdf Thorn-EMI fires internal devs     https://ia600609.us.archive.org/31/items/popular-computing-weekly-1984-11-01/PopularComputing_Weekly_Issue_1984-11-01.pdf   pg. 8        https://www.mobygames.com/company/5174/creative-sparks/ Games Workshop gets into computer games     https://www.mobygames.com/game/63565/tower-of-despair/        https://archive.org/details/popular-computing-weekly-1984-11-22/page/n68/mode/1up       https://www.mobygames.com/company/3136/games-workshop-ltd/games/title:1/      Firebird buys Elite rights     https://archive.org/details/popular-computing-weekly-1984-11-29/page/n4/mode/1up      https://www.mobygames.com/game/1324/elite/     https://www.mobygames.com/game/46533/elite/ Timothy Leary gets into games     Timothy Leary: LSD `guru' leaps to floppy discs, The San Diego Union-Tribune, November 11, 1984 Sunday, Section: LIFESTYLE; Pg. D-1, Bline: Frank Green     https://www.mobygames.com/game/254/timothy-learys-mind-mirror/      PlayNet profiled     No Headline In Original, United Press International, November 4, 1984, Sunday, BC cycle, Section: Financial, Byline: By STEVE GEIMANN, UPI Business Writer         https://en.wikipedia.org/wiki/PlayNET BBS gets busted     FREE-SPEECH ISSUES SURROUND COMPUTER BULLETIN BOARD USE, The New York Times, November 12, 1984, Monday, Late City Final Edition, Section: Section A; Page 1, Column 1; Financial Desk, Byline: By ANDREW POLLACK     https://www.nytimes.com/1985/08/04/magazine/of-bytes-and-bulletin-boards.html     The Night of the Hackers, Newsweek, November 12, 1984, UNITED STATES EDITION, Section: DISPATCHES; Pg. 17, Byline: RICHARD SANDZA French paper Le Canard hacks French Nuclear program     Computer secrets tapped / France, The Guardian (London), November 29, 1984, From PAUL WEBSTER Hackers unpack     Admitted hacker says he discovered Pentagon plans, United Press International, November 22, 1984, Thursday, AM cycle, Section: Domestic News, byline: By MICHAEL D. HARRIS Move over modems, here come satellites!     SATELLITE BROADCAST NETWORK, INC.; Satellite receiver system, Computerworld, November 19, 1984, Section: COMMUNICATIONS; Network Services; Pg. 41            New service for personal computers offers direct link to satellite, Christian Science Monitor (Boston, MA), November 20, 1984, Tuesday, Section: National; Pg. 11, Byline: By David F. Salisbury, Staff writer of The Christian Science Monitor You haven't lived until you've died in MUD ad     https://archive.org/details/popular-computing-weekly-1984-11-22/page/n46/mode/1up Hackers reviewed by New York Times     PERSONAL COMPUTERS; THE BOOKS GET BETTER ON NONTECHNICAL TOPICS, The New York Times, November 6, 1984, Tuesday, Late City Final Edition, Section: Section C; Page 5, Column 1; Science Desk, Byline: By ERIK SANDBERG-DIMENT      IN SHORT, The New York Times, November 11, 1984, Sunday, Late City Final , Edition, Section: Section 7; Page 32, Column 1; Book Review Desk; Review Micro Hobby launches in Spain     https://archive.org/details/MicroHobby057/MicroHobby/MicroHobby_001/page/n31/mode/2up     https://microhobby.speccy.cz/mhforever/ Japan recognizes video game copyirghts     https://archive.org/details/game-machine-magazine-19841101p/page/n16/mode/1up      Commodore sees loophole in Amiga battle     https://ia600609.us.archive.org/31/items/popular-computing-weekly-1984-11-01/PopularComputing_Weekly_Issue_1984-11-01.pdf Game music gets busted     https://ia600609.us.archive.org/31/items/popular-computing-weekly-1984-11-01/PopularComputing_Weekly_Issue_1984-11-01.pdf          https://youtu.be/6kFu5ojgnQU?si=3E6Tqg2Mi1vMQEnX     https://archive.org/details/popular-computing-weekly-1984-11-08/page/n4/mode/1up UK PC clones get busted     https://archive.org/details/popular-computing-weekly-1984-11-08/mode/1up       https://en.wikipedia.org/wiki/Advance_86      IBM eyes Mexico for factory     BUSINESS DIGEST,The New York Times,November 28, 1984, Wednesday, Late City Final Edition, Section: Section D; Page 1, Column 1; Financial Desk; summary     https://www.nytimes.com/1985/01/19/business/mexico-rejects-ibm-control-for-new-plant.html      Computer Museum finds permanent home     First Computer Museum Opens On Boston's Waterfront, The Associated Press, November 14, 1984, Wednesday, PM cycle, Section: Domestic News, Byline: By BART ZIEGLER,         https://en.wikipedia.org/wiki/The_Computer_Museum,_Boston Acorn Video profiled     https://archive.org/details/popular-computing-weekly-1984-11-15/page/n13/mode/1up Datacopy announces Model 700 scanner     DATACOPY; Announces major new product and software offerings, Business Wire, November 1, 1984, Thursday       https://en.wikipedia.org/wiki/Datacopy IBM mainframe strategies revealed     IBM seeks mart leverage via customer revenue, Computerworld, November 26, 1984, Section: COMPUTER INDUSTRY; Pg. 97, Byline: By John Desmond, CW Staff Hong Kong transfer disrupts toy supplies     Playthings, November 1984, pg. 61      Hitchhikers' Guide to the Galaxy goes Fourth     COSMIC HITCHHIKER, United Press International, November 24, 1984, Saturday, BC cycle, Section: Domestic News, Byline: By WILLIAM C. TROTT, United Press International      Visicorp RIP     VISICORP IS MERGING INTO PALADIN, The New York Times, November 3, 1984, Saturday, Late City Final Edition, Section: Section 1; Page 29, Column 3; Financial Desk, Byline: By ANDREW POLLACK     Spreadsheets cited most used micro software, Computerworld, November 26, 1984, Section: MICROCOMPUTERS; Pg. 90     https://archive.org/details/byte-magazine-1984-11-rescan/page/n11/mode/1up Franklin RIP     Franklin to free assets in effort to settle with creditors; Legal battles with Apple placed New Jersey-based manufacturer in financial, straits, Computerworld, November 12, 1984, Section: COMPUTER INDUSTRY; Pg. 138 Mylstar RIP     Play Meter November 15, 1984, pg. 8 Recommended Links: The History of How We Play: https://thehistoryofhowweplay.wordpress.com/ Gaming Alexandria: https://www.gamingalexandria.com/wp/ They Create Worlds: https://tcwpodcast.podbean.com/ Digital Antiquarian: https://www.filfre.net/ The Arcade Blogger: https://arcadeblogger.com/ Retro Asylum: http://retroasylum.com/category/all-posts/ Retro Game Squad: http://retrogamesquad.libsyn.com/ Playthrough Podcast: https://playthroughpod.com/ Retromags.com: https://www.retromags.com/ Games That Weren't - https://www.gamesthatwerent.com/ Sound Effects by Ethan Johnson of History of How We Play. Copyright Karl Kuras

Whether it's because you're getting older like me, or you just want a better view of your images, also like me, sometimes it's nice to edit your images on the desktop. Dave, Dwight and I will talk about some of the desktop editors we use and why we use them to get the look we want for our images.PhotomatorPhotos - Included on iPhone, iPad, and MacAffinityLuminar NeoDXO Film Pack 8PhotoshopDave Kelly on YouTube Buy Me a CoffeeVoicecastGreg's BookThe Podcast WebsiteDave on InstagramDave on ThreadsDave on BlueskyDave on XDave on TikTokDave on VERODave on MastodonDwight on FlickrDwight on VERODwight on GlassDwight on InstagramDwight's Art on InstagramDwight on VSCOGreg's WebsiteGreg on GlassGreg on About.meGreg on InstagramGreg on VEROGreg on FlickrGreg on XThe Podcast YouTube ChannelShayne Mostyn's YouTube ChannelSmartphone Photography TrainingThe iPhoneography Podcast Facebook GroupShayne Mostyn's Bloody Legends Facebook GroupRick Sammon's Smartphone Photo Experience Facebook GroupReeflex's Facebook GroupiPhone 17 Pro & Pro Max PhotographyGet your first year of Glass for $20: https://glass.photo/offer/gregReeflex Lenses - Get 10% off Reeflex lenses with the coupon code 10%OFFGREG

"Not a creative"?

The U.S. Senate Bars Members From Trading On Prediction Markets, Meta Threatens to Withdraw Services From New Mexico, and a Critical Vulnerability is Threatening Most Linux Distributions. MP3 Please SUBSCRIBE HERE for free or get DTNS shows ad-free. A special thanks to all our supporters–without you, none of this would be possible. If you enjoyContinue reading "AI Drives Up Demand for Desktop Macs – DTH"

Whoops!  How did this get missed?!  Is 12vHPWR really that bad? Why aren't you mad enough about DDR and SSD pricing?!  Nvidia is BUYING ... well it's not HP.  All that "Don't track me bro" stuff is for naught, Sony sells you less and you'll buy it, and Linux stops being able to be loaded on just about anything.  You cannot wait for the segment on Ethernet cables, I know.  All that and more!0:00 Intro0:35 Patreon2:10 Food with Josh3:57 Yes, DDR5 and SSD prices are still insane7:30 NVIDIA is not buying Dell or HP9:40 Also, NVIDIA warranty payments up 1000 percent in 202512:23 NVIDIA N1 engineering board leak14:15 Desktop CPU sales tank for some strange reason17:19 Sorry, you are still being tracked21:24 Sony Bravia TVs losing some OTA functionality23:13 Copper Clad Aluminum27:57 Linux drops 486 support!30:20 MacBook Neo almost sold out34:12 (In)Security Corner44:50 Gaming Quick Hits48:50 Picks of the Week1:02:58 Outro ★ Support this podcast on Patreon ★

Cat Wu is Head of Product for Claude Code and Cowork at Anthropic, building one of the most important AI products of this generation. Before joining Anthropic, Cat spent years as an engineer and briefly worked in VC. Today, she's interviewing hundreds of product managers who are trying to break into AI—and seeing firsthand what separates those who thrive from those who fall behind.We discuss:1. How Anthropic's shipping cadence went from months to weeks to days2. The emerging skills PMs need to develop right now3. Why you need to build products that don't yet fully work, so you're ready when the next model closes the gap4. Cat's most underrated AI skill: asking the model to introspect on its own mistakes5. Why Claude's personality is core to its success6. Why Anthropic's mission alignment eliminates the friction that slows most large organizations7. Why “just do things” is the most important principle for working at AI-native companies—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsVanta—Automate compliance, manage risk, and accelerate trust with AI—Episode transcript: https://www.lennysnewsletter.com/p/why-half-of-product-managers-are-in-trouble—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Cat Wu:• X: https://x.com/_catwu• LinkedIn: linkedin.com/in/cat-wu• Newsletter: https://catwu.substack.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Cat Wu(01:29) Working with Boris Cherny(04:29) What Anthropic looks for when hiring PMs(06:18) How to help your teams move fast(08:58) How PRDs and roadmaps have evolved at Anthropic(10:28) The Mythos model and Anthropic's shipping velocity(11:54) What happened with the Claude Code source code leak(12:53) Integrating with OpenClaw(14:19) How the PM team is structured at Anthropic(15:42) How engineer and PM roles are merging(17:54) Why product taste is the most valuable skill(20:10) Where human brains will continue to be useful(22:23) How to stay sane in constant chaos(24:16) What gets sacrificed when you ship so fast(27:47) The /powerup command(28:32) Why Anthropic has been so successful(32:28) When to use Claude Code vs. Desktop vs. Cowork(35:58) Tips for getting started with Cowork(38:44) Demo: Using Cowork to build slide decks overnight(41:48) Cat's PM tech stack and internal tools(46:47) Which teams use the most tokens(51:15) The emerging skills PMs need for AI companies(55:00) Why building evals is underappreciated(58:44) Why Claude's character and personality matter so much(1:00:44) How new models force product changes(1:05:11) The vision for Claude Code and Cowork(1:07:22) Advice for thriving in an AI-driven world(1:09:18) Why 95% automation isn't good enough(1:11:58) Build apps you use every day, not prototypes(1:13:41) The divide between AI skeptics and believers(1:15:19) Lightning round—Referenced: https://www.lennysnewsletter.com/p/how-anthropics-product-team-moves—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Google Ads to Phase Out Dynamic Search Ads | Episode 429Visit us at - https://marketingoclock.com/This week on Marketing O'Clock: Google is moving Dynamic Search Ads into AI Max this September. Also, Google is coming after back button hijackers. Plus, AI Mode is testing a split-view desktop experience.

Was this the biggest 24 hours of AI drops... EVER?

David's LinkedIn: https://www.linkedin.com/in/david-lahaie-2997535/My Free tools for sites and researchers: https://coordinare.co/My substack FREE: https://substack.com/@dansfera1?r=27gh4e&utm_medium=ios&utm_source=profileInato: https://go.inato.com/3VnSro6CRIO: http://www.clinicalresearch.ioMy PatientACE recruitment company: https://patientace.com/Join me at my conference! http://www.saveoursites.comText Me: (949) 415-6256Listen on Spotify: https://open.spotify.com/show/7JF6FNvoLnBpfIrLNCcg7aGET THE BOOK! https://www.amazon.com/Comprehensive-Guide-Clinical-Research-Practical/dp/1090349521/ref=sr_1_1?keywords=Dan+Sfera&qid=1691974540&s=audible&sr=1-1-catcorrText "guru" to 855-942-5288 to join VIP list!My blog: http://www.TheClinicalTrialsGuru.comMy CRO and Site Network: http://www.DSCScro.comMy CRA Academy: http://www.TheCRAacademy.comMy CRC Academy: http://www.TheCRCacademy.comLatinos In Clinical Research: http://www.LatinosinClinicalResearch.comThe University Of Clinical Research: https://www.theuniversityofclinicalresearch.com/My TikTok: DanSfera

Yeah OpenClaw's great.... but did you see the latest updates to Claude Desktop?!

With Microsoft finally doing right by Windows 11 and the Windows Insider Program, it's time to start testing and provide some feedback. And then we'll see if we can really trust these people. Also, Stardock's Connection Explorer 1.0 is here! And if you want one of macOS's dumbest features on Windows 11, you can get it now. Windows Yesterday was Patch Tuesday - Another month in paradise 26H1 - Eh, 24H2/25H2 - Narrator, File Explorer, display, Pen settings, WRE, Remote Desktop improvements Microsoft reveals how it will simplify the Windows Insider Program Two top-level channels, but really three A way to enable all features in new builds, finally, and easy channel switching. But there are complexities, of course New builds for Canary, Beta, and Dev - Two for Canary, but nothing new, Beta and Dev get Storage, networking, Windows Security, and Feedback Hub improvements The first Snapdragon X2-based PC is out, and Paul has that waiting in PA, and two more PCs are coming to Mexico PC sales were somehow up 2.5 percent in Q1, but the rest of 2026 will be a bloodbath Also, smartphone sales are doing even worse NVIDIA reportedly wants to buy Dell or HP ahead of a big PC chipset push. Interesting Surface/Microsoft 365 Microsoft is forced to hike Surface prices dramatically Microsoft reportedly kills Surface Hub Microsoft College Offer: 12 months of Microsoft 365 Premium, 12 months of Xbox Game Pass Ultimate, and a custom Xbox controller when students in the U.S. purchase a PC AI/Dev Microsoft AI releases a faster and more efficient image model Amazon CEO tries to explain the AI spending Google app for Windows rolls out worldwide, but the Mac gets a Gemini app Claude for Microsoft Word arrives in Beta Claude for Desktop gets a major redesign for multiple AI agents Microsoft's reported plans to charge for AI agents .NET 11 Preview 3 arrives right on schedule, but there's nothing to see here Build session catalog is up - joking, but the new Windows native app strategy should just be vibe coding Google I/O registration is open, and you are never going to believe what the main topics will be - number five will shock you Xbox & gaming New Xbox CEO says Game Pass is too expensive, also that the sky is blue Xbox will show off the next Metro game soon Starfield for PS5 is getting a fix Amazon Luna is stripping down to the basics e.g. "pulling a Stadia" Tips & picks Tip of the week: It's time to get involved App pick of the week: Stardock Connection Explorer RunAs Radio this week: Internal Corporate Communications in 2026 with Emily Mancini Brown liquor pick of the week: ScapeGrace Vanguard Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: cyberhoot.com/windows threatlocker.com/twit

With Microsoft finally doing right by Windows 11 and the Windows Insider Program, it's time to start testing and provide some feedback. And then we'll see if we can really trust these people. Also, Stardock's Connection Explorer 1.0 is here! And if you want one of macOS's dumbest features on Windows 11, you can get it now. Windows Yesterday was Patch Tuesday - Another month in paradise 26H1 - Eh, 24H2/25H2 - Narrator, File Explorer, display, Pen settings, WRE, Remote Desktop improvements Microsoft reveals how it will simplify the Windows Insider Program Two top-level channels, but really three A way to enable all features in new builds, finally, and easy channel switching. But there are complexities, of course New builds for Canary, Beta, and Dev - Two for Canary, but nothing new, Beta and Dev get Storage, networking, Windows Security, and Feedback Hub improvements The first Snapdragon X2-based PC is out, and Paul has that waiting in PA, and two more PCs are coming to Mexico PC sales were somehow up 2.5 percent in Q1, but the rest of 2026 will be a bloodbath Also, smartphone sales are doing even worse NVIDIA reportedly wants to buy Dell or HP ahead of a big PC chipset push. Interesting Surface/Microsoft 365 Microsoft is forced to hike Surface prices dramatically Microsoft reportedly kills Surface Hub Microsoft College Offer: 12 months of Microsoft 365 Premium, 12 months of Xbox Game Pass Ultimate, and a custom Xbox controller when students in the U.S. purchase a PC AI/Dev Microsoft AI releases a faster and more efficient image model Amazon CEO tries to explain the AI spending Google app for Windows rolls out worldwide, but the Mac gets a Gemini app Claude for Microsoft Word arrives in Beta Claude for Desktop gets a major redesign for multiple AI agents Microsoft's reported plans to charge for AI agents .NET 11 Preview 3 arrives right on schedule, but there's nothing to see here Build session catalog is up - joking, but the new Windows native app strategy should just be vibe coding Google I/O registration is open, and you are never going to believe what the main topics will be - number five will shock you Xbox & gaming New Xbox CEO says Game Pass is too expensive, also that the sky is blue Xbox will show off the next Metro game soon Starfield for PS5 is getting a fix Amazon Luna is stripping down to the basics e.g. "pulling a Stadia" Tips & picks Tip of the week: It's time to get involved App pick of the week: Stardock Connection Explorer RunAs Radio this week: Internal Corporate Communications in 2026 with Emily Mancini Brown liquor pick of the week: ScapeGrace Vanguard Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: cyberhoot.com/windows threatlocker.com/twit

With Microsoft finally doing right by Windows 11 and the Windows Insider Program, it's time to start testing and provide some feedback. And then we'll see if we can really trust these people. Also, Stardock's Connection Explorer 1.0 is here! And if you want one of macOS's dumbest features on Windows 11, you can get it now. Windows Yesterday was Patch Tuesday - Another month in paradise 26H1 - Eh, 24H2/25H2 - Narrator, File Explorer, display, Pen settings, WRE, Remote Desktop improvements Microsoft reveals how it will simplify the Windows Insider Program Two top-level channels, but really three A way to enable all features in new builds, finally, and easy channel switching. But there are complexities, of course New builds for Canary, Beta, and Dev - Two for Canary, but nothing new, Beta and Dev get Storage, networking, Windows Security, and Feedback Hub improvements The first Snapdragon X2-based PC is out, and Paul has that waiting in PA, and two more PCs are coming to Mexico PC sales were somehow up 2.5 percent in Q1, but the rest of 2026 will be a bloodbath Also, smartphone sales are doing even worse NVIDIA reportedly wants to buy Dell or HP ahead of a big PC chipset push. Interesting Surface/Microsoft 365 Microsoft is forced to hike Surface prices dramatically Microsoft reportedly kills Surface Hub Microsoft College Offer: 12 months of Microsoft 365 Premium, 12 months of Xbox Game Pass Ultimate, and a custom Xbox controller when students in the U.S. purchase a PC AI/Dev Microsoft AI releases a faster and more efficient image model Amazon CEO tries to explain the AI spending Google app for Windows rolls out worldwide, but the Mac gets a Gemini app Claude for Microsoft Word arrives in Beta Claude for Desktop gets a major redesign for multiple AI agents Microsoft's reported plans to charge for AI agents .NET 11 Preview 3 arrives right on schedule, but there's nothing to see here Build session catalog is up - joking, but the new Windows native app strategy should just be vibe coding Google I/O registration is open, and you are never going to believe what the main topics will be - number five will shock you Xbox & gaming New Xbox CEO says Game Pass is too expensive, also that the sky is blue Xbox will show off the next Metro game soon Starfield for PS5 is getting a fix Amazon Luna is stripping down to the basics e.g. "pulling a Stadia" Tips & picks Tip of the week: It's time to get involved App pick of the week: Stardock Connection Explorer RunAs Radio this week: Internal Corporate Communications in 2026 with Emily Mancini Brown liquor pick of the week: ScapeGrace Vanguard Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: cyberhoot.com/windows threatlocker.com/twit

With Microsoft finally doing right by Windows 11 and the Windows Insider Program, it's time to start testing and provide some feedback. And then we'll see if we can really trust these people. Also, Stardock's Connection Explorer 1.0 is here! And if you want one of macOS's dumbest features on Windows 11, you can get it now. Windows Yesterday was Patch Tuesday - Another month in paradise 26H1 - Eh, 24H2/25H2 - Narrator, File Explorer, display, Pen settings, WRE, Remote Desktop improvements Microsoft reveals how it will simplify the Windows Insider Program Two top-level channels, but really three A way to enable all features in new builds, finally, and easy channel switching. But there are complexities, of course New builds for Canary, Beta, and Dev - Two for Canary, but nothing new, Beta and Dev get Storage, networking, Windows Security, and Feedback Hub improvements The first Snapdragon X2-based PC is out, and Paul has that waiting in PA, and two more PCs are coming to Mexico PC sales were somehow up 2.5 percent in Q1, but the rest of 2026 will be a bloodbath Also, smartphone sales are doing even worse NVIDIA reportedly wants to buy Dell or HP ahead of a big PC chipset push. Interesting Surface/Microsoft 365 Microsoft is forced to hike Surface prices dramatically Microsoft reportedly kills Surface Hub Microsoft College Offer: 12 months of Microsoft 365 Premium, 12 months of Xbox Game Pass Ultimate, and a custom Xbox controller when students in the U.S. purchase a PC AI/Dev Microsoft AI releases a faster and more efficient image model Amazon CEO tries to explain the AI spending Google app for Windows rolls out worldwide, but the Mac gets a Gemini app Claude for Microsoft Word arrives in Beta Claude for Desktop gets a major redesign for multiple AI agents Microsoft's reported plans to charge for AI agents .NET 11 Preview 3 arrives right on schedule, but there's nothing to see here Build session catalog is up - joking, but the new Windows native app strategy should just be vibe coding Google I/O registration is open, and you are never going to believe what the main topics will be - number five will shock you Xbox & gaming New Xbox CEO says Game Pass is too expensive, also that the sky is blue Xbox will show off the next Metro game soon Starfield for PS5 is getting a fix Amazon Luna is stripping down to the basics e.g. "pulling a Stadia" Tips & picks Tip of the week: It's time to get involved App pick of the week: Stardock Connection Explorer RunAs Radio this week: Internal Corporate Communications in 2026 with Emily Mancini Brown liquor pick of the week: ScapeGrace Vanguard Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: cyberhoot.com/windows threatlocker.com/twit

With Microsoft finally doing right by Windows 11 and the Windows Insider Program, it's time to start testing and provide some feedback. And then we'll see if we can really trust these people. Also, Stardock's Connection Explorer 1.0 is here! And if you want one of macOS's dumbest features on Windows 11, you can get it now. Windows Yesterday was Patch Tuesday - Another month in paradise 26H1 - Eh, 24H2/25H2 - Narrator, File Explorer, display, Pen settings, WRE, Remote Desktop improvements Microsoft reveals how it will simplify the Windows Insider Program Two top-level channels, but really three A way to enable all features in new builds, finally, and easy channel switching. But there are complexities, of course New builds for Canary, Beta, and Dev - Two for Canary, but nothing new, Beta and Dev get Storage, networking, Windows Security, and Feedback Hub improvements The first Snapdragon X2-based PC is out, and Paul has that waiting in PA, and two more PCs are coming to Mexico PC sales were somehow up 2.5 percent in Q1, but the rest of 2026 will be a bloodbath Also, smartphone sales are doing even worse NVIDIA reportedly wants to buy Dell or HP ahead of a big PC chipset push. Interesting Surface/Microsoft 365 Microsoft is forced to hike Surface prices dramatically Microsoft reportedly kills Surface Hub Microsoft College Offer: 12 months of Microsoft 365 Premium, 12 months of Xbox Game Pass Ultimate, and a custom Xbox controller when students in the U.S. purchase a PC AI/Dev Microsoft AI releases a faster and more efficient image model Amazon CEO tries to explain the AI spending Google app for Windows rolls out worldwide, but the Mac gets a Gemini app Claude for Microsoft Word arrives in Beta Claude for Desktop gets a major redesign for multiple AI agents Microsoft's reported plans to charge for AI agents .NET 11 Preview 3 arrives right on schedule, but there's nothing to see here Build session catalog is up - joking, but the new Windows native app strategy should just be vibe coding Google I/O registration is open, and you are never going to believe what the main topics will be - number five will shock you Xbox & gaming New Xbox CEO says Game Pass is too expensive, also that the sky is blue Xbox will show off the next Metro game soon Starfield for PS5 is getting a fix Amazon Luna is stripping down to the basics e.g. "pulling a Stadia" Tips & picks Tip of the week: It's time to get involved App pick of the week: Stardock Connection Explorer RunAs Radio this week: Internal Corporate Communications in 2026 with Emily Mancini Brown liquor pick of the week: ScapeGrace Vanguard Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: cyberhoot.com/windows threatlocker.com/twit

Time now for our daily Tech and Business Report. Today, we're joined by Dana Wollman Senior Editor at Bloomberg. Google has released a Gemini app for Mac giving users AI access right from their desktop.

Welcome to Lords of Limited, the podcast dedicated to getting you better at drafting in Magic: the Gathering. This week, we've got the Secrets of Strixhaven Crash Course! That means we're coming to the episode with a review of the new mechanics and all 5 colleges, then dive into our 5 format truths! Afterwards we're looking at the top uncommons for each color, notable commons, and sleeper cards to look out for. This is everything you need to get caught up to speed on this fun-looking new format!

Google Tests Sending Traffic to AI Mode From AIO's on Desktop | EP. 428This week on Marketing O'Clock: Google is testing the functionality of sending traffic to AI Mode from Desktop-based AIOs. Plus, a presently-being-addressed Google Search Console logging error has resulted in inaccurate reporting of impressions since May 2025.Visit us at - https://marketingoclock.com/

Make a Logo on Fiverr A Serious Upgrade for Thunderbolt Setups The WavLink 12-in-1 Thunderbolt 5 dock is built for users pushing modern workflows—especially those running a Mac Thunderbolt Dock or PC thunderbolt dock setup. With Thunderbolt 5 bandwidth starting at 80Gbps and boosting up to 120Gbps in certain scenarios, this dock isn't just about adding ports—it's about unlocking serious throughput for storage, displays, and peripherals. Right out of the box, the dock feels substantial. The all-metal design, solid weight, and ventilation signal this isn't a budget accessory—it's meant to sit at the center of a high-performance desk setup. Ports, Power, and Expandability This 12-in-1 dock delivers a wide spread of connectivity: Four Thunderbolt 5 ports USB-A ports (10Gbps) SD 4.0 and microSD 4.0 card slots 2.5Gb Ethernet Headphone/mic combo jack High-power USB-C with up to 140W output Power is a standout here. The included 230W power supply means you can run the dock, charge laptops, and power multiple devices simultaneously without bottlenecks. That's key for creators juggling cameras, drives, and displays. There's also a clever USB-C locking mechanism—rare but useful—keeping your connection secure during heavy transfers or if the dock gets moved around. Built for Speed (and It Shows) Hooked up to Thunderbolt 5 storage, the performance is exactly what you'd expect from next-gen bandwidth. Real-world tests showed: Up to ~4600 MB/s write speeds on high-end NVMe Strong read performance near 3800+ MB/s depending on drive type Even when stepping down to Thunderbolt 4, the dock remains highly capable, though naturally capped at lower speeds. It's forward-compatible in a way that makes sense—buy now, and it scales with your next machine. Display Support Without HDMI One thing that might catch people off guard: no HDMI or DisplayPort. Instead, all video runs through Thunderbolt/USB-C. That means: Up to 8K (7680×4320) at 144Hz for single display Dual and triple display configurations supported Mac-specific limits (like 6K displays) still apply If you need HDMI, you'll need an adapter—but the tradeoff is cleaner bandwidth management and fewer limitations at high resolutions. Mac and PC Compatibility This dock plays well with both Mac and PC—but there are a few caveats: Works best with Thunderbolt 5 systems Fully compatible with Thunderbolt 4 (reduced speeds) Not compatible with Thunderbolt 3 Paired with an M4 Mac Mini or similar system, it becomes a central hub for storage arrays, networking, and multi-display setups. Design and Cooling Thermals are handled well thanks to the aluminum chassis and venting. Even under load, the unit stays relatively cool to the touch. No cheap plastics here—this is a premium build meant for long sessions. Real-World Use Cases This WavLink Thunderbolt 5 dock fits right into: Video editing workflows with high-speed NVMe storage Multi-network environments (dual Ethernet setups) Desktop replacement setups for laptops High-refresh-rate multi-monitor configurations It's especially compelling if you're building toward a Thunderbolt 5 ecosystem and want something that won't be outdated in a year. The Bottom Line The WavLink dock checks a lot of boxes: strong build, serious bandwidth, and flexible expansion. The lack of native display ports might frustrate some, but for anyone already invested in USB-C/Thunderbolt workflows, it's a non-issue. For creators, editors, and power users, this is one of those docks that actually earns its desk space. Check it out at https://geni.us/wavlinktbt5 Check out the Geekazine Merch, including "I AM AI " T-Shirt.  Thanks for reading! Don't forget to subscribe to Geekazine: RSS Feed - YouTubeTwitter - Facebook Tip Me via Paypal.me Send a Tip via Venmo RSS Bandwidth by Cachefly Get a 14 Day Trial Be a Patreon: Part of the Sconnie Geek Nation! Reviews: Geekazine gets products in to review. Opinions are of Geekazine.com. Sponsored content will be labeled as such. Read all policies on the Geekazine review page.  Reviews: Geekazine is also an affiliate of Amazon Last Updated on April 15, 2026 12:50 pm by Jeffrey PowersThe post This 12-in-1 Thunderbolt 5 Dock from WavLink Is Actually Solid — First Look appeared first on Geekazine.

This is a recap of the top 10 posts on Hacker News on April 10, 2026. This podcast was generated by wondercraft.ai (00:30): France Launches Government Linux Desktop Plan as Windows Exit BeginsOriginal post: https://news.ycombinator.com/item?id=47716043&utm_source=wondercraft_ai(01:57): 1D ChessOriginal post: https://news.ycombinator.com/item?id=47719740&utm_source=wondercraft_ai(03:24): Artemis II safely splashes downOriginal post: https://news.ycombinator.com/item?id=47725583&utm_source=wondercraft_ai(04:51): FBI used iPhone notification data to retrieve deleted Signal messagesOriginal post: https://news.ycombinator.com/item?id=47716490&utm_source=wondercraft_ai(06:18): Filing the corners off my MacBooksOriginal post: https://news.ycombinator.com/item?id=47724352&utm_source=wondercraft_ai(07:45): France to ditch Windows for Linux to reduce reliance on US techOriginal post: https://news.ycombinator.com/item?id=47719486&utm_source=wondercraft_ai(09:12): You can't trust macOS Privacy and Security settingsOriginal post: https://news.ycombinator.com/item?id=47719602&utm_source=wondercraft_ai(10:39): WireGuard makes new Windows release following Microsoft signing resolutionOriginal post: https://news.ycombinator.com/item?id=47719942&utm_source=wondercraft_ai(12:06): I still prefer MCP over skillsOriginal post: https://news.ycombinator.com/item?id=47712718&utm_source=wondercraft_ai(13:33): OpenAI backs Illinois bill that would limit when AI labs can be held liableOriginal post: https://news.ycombinator.com/item?id=47717587&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

It's time for episode 473 of the Mobile Tech Podcast with guest Rita El Khoury of Android Authority -- brought to you by Mint Mobile. In this episode, we discuss Pixel Desktop Mode, Android on tablets and folding phones, Chromebooks vs. Apple's MacBook Neo, and the problem with Google's upcoming Aluminium OS. We then review Nothing's Phone (4a) Pro vs. Google's Pixel 10a, and cover news, leaks, and rumors from Google, Ultrahuman, Vivo, Oppo, OnePlus, and Samsung.Episode Links- Support the podcast on Patreon: https://www.patreon.com/tnkgrl- Donate / buy me a coffee (PayPal): https://tnkgrl.com/tnkgrl/- Support the podcast with Mint Mobile: https://mintmobile.com/mobiletech- Rita El Khoury: https://www.threads.com/@khouryrt- Rita's Pixel Desktop Mode experience: https://www.androidauthority.com/i-transformed-old-pixel-tablet-into-brand-new-android-pc-3652335/- Nothing Phone (4a) Pro vs. Google Pixel 10a: https://www.digitaltrends.com/phones/the-nothing-phone-4a-pro-makes-the-pixel-10a-look-oh-so-bad-at-first-glance/- Nothing Phone (4a) Pro review: https://www.androidauthority.com/nothing-phone-4a-pro-review-3651036/- Google Pixel 11 Pro renders leak: https://www.gsmarena.com/google_pixel_11_pro_cadbased_renders_leak_too-news-72190.php- Google Pixel 11 renders leak: https://www.gsmarena.com/google_pixel_11_cadbased_renders_leak-news-72167.php- Google teases Pixel/Fitbit band: https://www.gsmarena.com/google_teases_its_whoop_competitor_-news-72201.php- Ultrahuman Ring Pro available for pre-order: https://www.gsmarena.com/the_ultrahuman_ring_pro_is_now_available_for_preorder_in_the_us_heres_how_to_get_a_10_discount-news-72138.php- Vivo X300 Ultra: https://www.gsmarena.com/vivo_x300_ultra_is_official_with_near_1_35mm_camera_new_200mp_85mm_zoom_-news-72162.php- Vivo X300s: https://www.gsmarena.com/vivo_x300s_announced_with_200mp_main_camera_and_optional_photography_kit-news-72164.php- Oppo Find X9 Ultra coming April 21: https://www.gsmarena.com/oppo_find_x9_ultra_to_debut_globally_on_april_21-news-72175.php- Oppo teases Find X9s camera samples: https://www.gsmarena.com/oppo_compares_find_x9s_pro_camera_samples_with_find_x9_ultra_photos-news-72193.php- OnePlus Ace 6 Ultra battery capacity leaks: https://www.gsmarena.com/oneplus_ace_6_ultra_battery_capacity_leaks-news-72173.php- OnePlus teases Nord 6 camera specs: https://www.gsmarena.com/oneplus_nord_6_camera_specs_confirmed_ahead_of_launch-news-72195.php- Samsung motion sickness app: https://www.gsmarena.com/samsungs_new_app_temporarily_cures_motion_sickness_through_earbuds-news-72170.phpAffiliate Links (If you use these links to buy something, we might earn a commission)- OnePlus Pad 3: https://amzn.to/4scs43r- Apple MacBook Neo: https://amzn.to/48wTSbx- Nothing Phone (4a) Pro: https://amzn.to/4t70DbS- Google Pixel 10a: https://amzn.to/4sUJD96- Samsung Galaxy S26 Ultra: https://amzn.to/4skO4tj

Join Scott as he discusses the CircuitPython update to ESP-IDF6, Zephyr changes and a new ethernet module. He'll also answer any questions folks have. Thanks to dcd for timecodes: 0:00 Getting started 1:02 Hello everyone - Feather S3 example microprocessor 3:20 New Wi-Fi Router to support automating testing - now the lights are offline :-) 4:25 "I really want a board farm" 6:10 Desktop / monitor setup - mouse tiler / monitor placement 9:30 announcing ESP-IDF v6.0 - broke :-) wifi 12:40 web workflow 16:20 Memfault podcast mention 17:17 draft pull request migrate espressif port to v6.0 18:20 How to test cap touch? Other tests could use a logic analyzer 19:45 Testing CP is not the same as testing new hardware drivers 20:30 Output only, Input only, and bidirectional driver test 25:00 Zephyr progress Feather nrf52340 Sense, NVM support, flash fixes 26:35 Ethernet APIs for CP - review LLM "implementation" 29:40 Checking claude desktop progress on the phone! 30:38 Zephyr on Raspberry pi Picos #10917 32:30 Zephyr thread priority / ordered W5500-EVB-Pico2 an the ESP32-P4X boards 34:45 ESP chip marking / P4X and chip version 1.3 41:10 Any questions? / review GitFourchette 43:08 Adaboot / fork of mcuboot - tinyuf2? 47:43 adapter between raspberry pi and nano 51:46 Octoprobe tentacles - https://www.octoprobe.org/tentacle/big_picture.html 56:56 Next week - get back to BLE 1:03:00 Native simulator and Zephyr 1:03:49 wrapping up - more dev boards on the way ! Visit the Adafruit shop online - http://www.adafruit.com ----------------------------------------- LIVE CHAT IS HERE! http://adafru.it/discord Subscribe to Adafruit on YouTube: http://adafru.it/subscribe New tutorials on the Adafruit Learning System: http://learn.adafruit.com/ -----------------------------------------

Welcome to Lords of Limited, the podcast dedicated to getting you better at drafting in Magic: the Gathering. This week, we've got our first ever March Madness Bracket: MTG Edition! We're looking at 4 distinct categories and taking a trip down memory lane as we reflect on the voting results and crown a winner from each region!

In this episode of Business Brain, we flip the script on AI and start asking better questions—literally. We experiment with prompts like how can you help me more and what repetitive tasks can you take off our plate, turning large language models into proactive teammates instead of passive tools. We also push past the fear of overload and realize feeding big chunks of data into an LLM is not only okay—it's powerful. From discovering image-generation standouts like Nano Banana Pro to seeing hyper-local innovation with the Locally AI showcased at South by Southwest, we learn that the real advantage comes from treating AI like a collaborator that helps us design a smarter path to our Charmed Life. Then we dive into the emerging workflows that make AI truly operational inside a business. We explore tools like Claudeand the growing practice of building structured knowledge files like CLAUDE.md to give AI context it can act on instantly. We also look at the expanding ecosystem around Comet, now available on desktop and iPhone, and what that means for real-time execution wherever we work. In this episode of Business Brain, we see that the winners in the AI era won't be the ones with the fanciest tools—they'll be the ones who systemize how those tools think, remember, and help us move faster. 00:00:00 Business Brain – The Entrepreneurs' Podcast #739 for Casual FridAI, March 27, 2026 March 27th: Quirky Country Music Song Titles Day 00:01:13 Ask your LLM how can you help me more? Prompt: What do you need to know about (or from) me to help me more? Prompt: How can you take away common, repetitive tasks? The best LLM for images (according to Dave): Nano Banana Pro 00:04:05 Feeding large chunks of data into the LLM is OK! Sponsors 00:06:49 SPONSOR: Shopify – For anyone to sell anywhere, sign up for a one-dollar-per month trial period at Shopify.com/BusinessBrain and upgrade your selling today! 00:08:14 SPONSOR: Tempo – Tempo delivers perfectly-portion meals to your door, each is ready in just 2 minutes. For a limited time, Tempo is offering Business Brain listeners SIXTY PERCENT OFF your first box at TempoMeals.com/brain 00:09:32 SXSW Session on Local AI: A More Personal Computer-How AI is Transforming Desktops Locally AI app to run models locally on your iPhone Eney from MacPaw 00:12:37 Claude Dispatch 00:16:11 CLAUDE.md files Import into Claude 00:18:20 Comet for Desktop…and Comet for iPhone! 00:20:25 Business Brain 739 Outtro Tell Your Friends! Review Business Brain Subscribe to the show feedback@businessbrain.show Call/Text: (567) 274-6977 X/Twitter: @ShannonJean & @DaveHamilton, & @BizBrainShow LinkedIn: Shannon Jean, Dave Hamilton, & Business Brain Facebook: Dave Hamilton, Shannon Jean, & Business Brain The post FridAI How Can I Help Prompt + Claude Dispatch -Business Brain 739 appeared first on Business Brain - The Entrepreneurs' Podcast.

Plus: A U.S. indictment alleges Super Micro Computer employees smuggled high-end Nvidia chips to China. And Jeff Bezos in talks to raise $100 billion for AI manufacturing fund. Julie Chang hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

For a limited time, Latent Spacenauts can skip the waitline to join Dreamer and also compete for a $10,000 cash prize for most useful tools for Dreamer! Thanks @dps!In 2024, David Singleton left Stripe and joined forces with Hugo Barra for a buzzy stealth startup named /dev/agents. This month they emerged out as Dreamer, a consumer-first platform to discover, build, and use AI agents and agentic apps, centered on a personal “Sidekick” that helps users customize experiences via natural language. Sidekick is nothing less than an “agent that builds agents”, with all the complexity that that entails:You've seen many many website builder, app builder, and even agent builder startups by now, but our favorite detail is the sheer amount of work that has gone into the “full stack” nature of the platform, including shipping their own SDK, logging, database, prompt management, serverless functions, and so on. Most platforms restrict the tech stack you can use just to get off the ground — Dreamer does it “right” by letting you push whatever arbitrary code you want to their VMs.Paying the BuildersOf course former leaders of Stripe and Android would not stop at just building the tools, but also building the ecosystem. Dreamer is deeply aware of the 4 sided network effect it has going on and is ready to fund all of it - from hiring Builders in Residence to awarding $10,000 cash prizes to the best tool builders for the Dreamer ecosystem.It's time to Dream!Full Video Episodeon youtube.Transcript[00:00:00] Meet Dreamer Purple[00:00:00] swyx: Okay, we're here in the studio with David Singleton. Welcome.[00:00:08] David Singleton: Hey, Wix. It's great to be here.[00:00:09] swyx: It's great to have you. Uh, we have very sympa that your company color is the same as Lean Spaces color.[00:00:15] David Singleton: That's right. Dreamer Purple.[00:00:17] swyx: It used to be Devrel agents, which I thought was very cool. It's like you call back to Devrel Payments.[00:00:22] David Singleton: Yeah.[00:00:22] swyx: And you were obviously CTO Stripe. And talk to me about just the origin or thinking process behind Dreamer. Yeah. And maybe, maybe start with like, what, what is Dreamer?[00:00:31] David Singleton: Yeah.[00:00:31] What Is Dreamer[00:00:31] David Singleton: So Dreamer is a new product, uh, which everyone can come and play with today. Um, it's a place where everyone, literally, everyone can discover, build, and enjoy and use AI agents and agenda apps.[00:00:45] And we really did design it for consumers, for folks who are not necessarily. Uh, have any kind of technical background. It's really aimed at everyone. I think often of my sister, she's very smart. She's not in the slightest bit technical. She has lots of problems in her life that [00:01:00] she would like to be able to have great software and intelligent software to solve.[00:01:04] But you know, even with the rise of tools like Cloud Code and so forth, she's got no way to get started. And Dreamer is a place where she can come in, grab some intelligent apps that other people in the community have built, start using them right away, and solve real problems in her life.[00:01:19] Sidekick And Waitlist[00:01:19] David Singleton: And at the core, we have a personal agent called the Sidekick.[00:01:24] Um, you can give your sidekick a name, you can give it its own personality, and it really helps you across your entire day, your life. It helps you use all of the agents on the platform, and it also helps you build anything you want. And we've been working in this for a little while. We recently launched in beta.[00:01:41] So anyone can go to dreamer.com, join the wait list. Um, and we have many, many, many people in the community now who are building really fun, really powerful, really useful. Agents and the agentic apps for themselves.[00:01:54] swyx: I think we're gonna go right into a demo. Yeah. I just wanna make an observation that, uh, you, you, [00:02:00] you put discover first before build.[00:02:02] Mm-hmm. But actually, at least for the engineers in the audience. ‘cause we are primarily engineers and you're primarily targeting consumers, right?[00:02:08] David Singleton: Yeah.[00:02:08] swyx: For engineers. Like, there's a huge full stack of stuff, which we're gonna dive into. Let's write. It's so impressive. I'm like, holy s**t, this, this is what I've always wanted.[00:02:16] Cool. Uh, so, so I think that's really good and I've, in some ways, I think given your background given, uh, Hugo's, is it Hugo? Hugo.[00:02:24] David Singleton: Hugo. Hugo Bar. Yeah.[00:02:25] swyx: Hugo, it's not surprising that you can basically kind of build an app store Yeah. For agents.[00:02:30] David Singleton: Yeah. So Hugo was my co-founder. Yeah. Um, Hugo and I met with our other co-founder Nicholas Checkoff in the very early days of Android at Google, where we were building Google's first mobile apps.[00:02:41] Uh, we then contributed to very core pieces of Android itself. And you're right, we were really excited about building two things. One, solving a bunch of problems. That this breakthrough technology here I'm talking about mobile needed to have solved in order to make it work for real people at scale. And then secondly, building this ecosystem, um, [00:03:00] of third party developers using the Play Store, um, and able to deliver way more value on the platform than we could have delivered on our own.[00:03:08] And we think about Dreamer in exactly the same way. So I was working at Stripe, as you mentioned, and we had the opportunity to put some of the very first AI agent systems in the world into production. And from the moment we did the first of those, I was just struck with a strong sense of conviction that this is breakthrough technology that's gonna change how all of us work with computers and phones and so forth, all of the, the technology in our lives, but.[00:03:34] There's a lot of problems to be solved, for real people to be able to make this approachable. Um, and it really is kind of a direct analog for what we were solving back in the early days of mobile apps at Google and, and Android. So it's, it's been fun to bring that to life.[00:03:47] swyx: Yeah. Uh, let's look at it.[00:03:48] David Singleton: Yeah, let's take a look.[00:03:49] Dashboard And Daily Briefing[00:03:49] David Singleton: So, uh, dreamer.com, this is our homepage. This is where you can come and, uh, watch some videos about what is here and sign up for the wait list. Once[00:03:57] swyx: you, I, I just wanna say for those listening, ‘cause we have a lot, you [00:04:00] know, switch to YouTube, look at the animations. So much care.[00:04:03] David Singleton: We, we really care about, uh, this product being fun.[00:04:07] Uh, and, and interesting to use. Obviously a lot of people are using it to do real important stuff. You can do real work, uh, here, uh, but also you can build fun things too. Once you get off of our wait list, you'll come into the product. The first thing that happens is you'll have a conversation with your side cake, which is this little friendly, uh, character here.[00:04:27] And psychic will seek to get to know you and understand you. What do you care about? And will help you discover and build your first AI agents or agentic apps. After that, you're, you're gonna have a dashboard. This is my dashboard. Everyone's is different. Um, you can see I have a few things here. I have a feed.[00:04:42] So a lot of our agents do things in the background when you're not looking and the feed is how they let you know what they've been up to. I have, uh, some widgets, uh, from apps that I have built. Uh, this one is called Calendar Hero. Uh, this is something that I installed from the gallery. Uh, so built by someone in our community.[00:04:59] It's a [00:05:00] really powerful calendar app because for each of my meetings, if it's with someone I don't already know, well it'll actually go off and research it, um, and give me both a history of my interactions with those people and also a bunch of, you know, public useful information to, to get started. One of the things I love about this particular app is that every day it generates a podcast, um, a daily briefing.[00:05:24] And one of the things that we've done with the platform is we've made it possible for all the things that agents do to show up in places that you care about. So if you look over here, this is the screen in my phone, and if I go ahead and open my Apple Podcasts, you can see right here. Your Daily briefing podcast is ready.[00:05:39] This was produced by an agent running in my Dreamer account, and it was very easy by scanning a QR code to connect it to my Apple podcast. That's what I listened to in the car now every morning. Yeah. On my way to work.[00:05:50] swyx: It, it[00:05:50] David Singleton: preps me for, for my day.[00:05:52] swyx: So one additional bit of context. I asked you immediately after seeing this was like, what, what about, I wanna talk back to my agent and you said you actually started with voice and then you went to [00:06:00] podcasts.[00:06:00] ‘cause it's nice to have it pre downloaded[00:06:02] David Singleton: that, right? That's right. Um, yeah, we, you, you can talk to your sidekick. So, you know, on mobile we have, uh, a dreamer app and you can talk to the sidekick right here. Um, but we've actually found that making things, uh, show up in the other apps that you already use in your life is incredibly powerful.[00:06:19] So let's take a look at what's kind of under the hood here.[00:06:21] Gallery Tools And Payouts[00:06:21] David Singleton: So I already mentioned that we have a gallery, so this is where you'll find a lot of agents from our community. Uh, there's. Many at this point, hundreds. And they are solving all kinds of, uh, use cases. I'd say the the top use cases are on personal productivity, but also a lot of information management that can range from personal information like docs and so forth, managing your emails.[00:06:42] It also ranges out to public information that you might be interested in, but you need something to help manage the, the kind of fire hose of stuff that's coming at you. For instance, I have, um, an agent which looks at all the AI news, um, all the time. There's a lot of it and it finds the stuff that I would actually be [00:07:00] interested in, um, and I find it incredibly useful.[00:07:03] So these are agents that you can install that other people have built. Anything that you install on Dreamer, you can actually just say, I wanna start making some changes, and we'll look at that in a second. But in natural language, with the sidekicks help, you can change any of these experiences to work just the way you want them.[00:07:18] But the base layer of the system are tools. So you know, as well as anyone swyx, that any AI system is only as good as the quality of data that it can pull in and the quality of action it can take. So before we launched our beta, we worked very hard to make sure that we seeded our tools with a bunch of very high quality and powerful integrations.[00:07:39] So, you know, for instance, this is real Google search, this is actual Gmail. Um, and you can do very useful things with those. But also this is a platform for everyone. And as we got started talking to people in our alpha community, a whole bunch of sports use cases popped out and we realized if you want to build something cool for sports with ai, you need really high quality live data.[00:07:58] So look at these [00:08:00] Formula one M-L-B-N-F-L, uh, these are tools, uh, that we've built. We've done a, these are not data scraped off the web. This is a, a direct data feed integration. And because it's live and ‘cause it's high quality, you can build really powerful stuff. But tools is not something that we are just going to kind of control ourselves.[00:08:19] The platform is open for tool Builders to contribute tools that anyone on Dreamer can use. So, um, this is actually the place in the platform where I think software engineers, um, well number one, would love for you to come and play with it. Uh, but software engineers are really gonna build, um, a lot of powerful stuff into the system.[00:08:38] And we are actually sharing something for the first time on this podcast, which there is, uh, tool builders on Dreamer get paid. So if you publish a tool to the platform and a lot of agents use it, you'll actually get paid, uh, in proportion to their usage. And we'd love for folks to come and give this a try.[00:08:54] We've got good docs that help you get started and you can build things that, you know, scratch your own itch. For instance, someone built this [00:09:00] Ski Bum tool, which provides live snow conditions for a bunch of, uh, ski resorts. I'd love to show you how I've used that in a second. And also we have some tools, partners where the tools themselves are paper use.[00:09:12] So for instance, parallel web systems is a premium tool. Uh, you can do really cool stuff with it. Um, it's a a, an agentic web research tool. And that one, because it's expensive to operate, is paid on a, on a per usage basis. But if you're coming in to build agents on the platform, even the premium tools, you get a free trial.[00:09:29] So you get a chance to actually try them out, make sure that the use case is good for you before you decide to, to to sign up. So that's tools. So we have the gallery, we have tools, and then the sidekick helps us put all of this together to build agents. We do that in the agents studio. You can also do this on your phone, but if I open up Agent Studio here on Desktop psychic's, just gonna start a conversation about what you want to build together.[00:09:51] I'd love to show you one that I made recently.[00:09:53] swyx: Let's do[00:09:53] David Singleton: it.[00:09:53] Building A Conference App[00:09:53] David Singleton: Um, let's look at something that hopefully is kind of near and dear to your heart. So one of the things I love about Dreamer and this kind of moment in technology is that if you think about it. There are all these things in your life where, have you ever gone to a conference?[00:10:09] I know you have. Right? And, uh, big conferences have apps. Um, and these apps are usually built by agencies and they're, they're usually actually quite expensive to build. I've been involved in running some of these myself. And how many conferences have you been to where the app was good? Zero. Honestly.[00:10:23] swyx: Exactly. Zero,[00:10:24] David Singleton: maybe one. I, I've, I've been to one conference. That was pretty good. Wait, wait session sessions. Um, but, but the point is, they're rarely great pieces of software. Right. And they're also expensive to build, but they're, they're interesting ‘cause they're episodic, they last for this one thing. Um, and then they're, they're not relevant anymore.[00:10:43] Um,[00:10:43] swyx: and so it's the worst feeling to invest in them because, you know, it's like, it's got a limited. Date?[00:10:48] David Singleton: Absolutely. So I decided to build, uh, a conference app for your AI engineer conference. Amazing. Uh, on Dreamer. One of the things that Swix has done, uh, which I [00:11:00] thought was very forward-looking, is actually put a whole bunch of data about the conference on the webpage in an LLM readable way.[00:11:06] There's an LLMs txt file, there's a feed of all of the sessions in js, ON. So I used the data from your conference last year and built this intelligent app, uh, just by talking to our sidekick, uh, in Dreamer. So just to give you a quick tour, this is my Dream Conference app. What I always wanna do for conferences is I wanna be able to search for speakers.[00:11:28] I'm usually there because, uh, there, uh, is a speaker I care about. So, you know, SWIX, you're the speaker I care about. I can actually see here who you're on stage with. So here's, here's Greg Brockman. You've read even ai, uh, and this is his session. And look Greg and Swix for the speaker. So let's add that to my schedule.[00:11:45] Great. And then maybe there's a couple others I might see here. Like on day two, I remember there were some keynotes. So, uh, building the open agenda web, that sounds fun. So I add that to my schedule.[00:11:55] swyx: She's now CEO of Xbox.[00:11:56] David Singleton: Awesome.[00:11:57] swyx: Which is interesting. So cool. So,[00:11:59] David Singleton: so I've [00:12:00] gone through and picked out a couple of sessions that I cared about.[00:12:03] That's as far as I usually get with any conference app. But of course you've got the whole of the rest of the conference to figure out what to do. So here is where the native intelligence of, of these things you build on Dreamer can come in. So I'm gonna click guide me. So Dreamers sidekick actually parsed out the whole schedule and figured out what some of the themes are and I can choose what I'm interested in here.[00:12:23] I'm definitely interested in agents. Uh, I'm definitely interested in code generation and also reasoning in rl. So now I'm gonna say build my schedule. So what this is doing is. It's going across every time slot for the conference. And it's choosing among the things I could go to, which one it thinks is best for me based on my interests.[00:12:41] It also uses its own memory of me that's part of Dreamer, uh, to understand what I might like best. And you know, there's an LLM prompt running for each one of these time slots. So this is, it's not super fast, but it'll be done in about 30 or 40 seconds. And I'm gonna have a special custom schedule for the conference.[00:12:57] This, like I said, is my [00:13:00] dream conference app is exactly what I've always wanted and I was able to build this yesterday morning. Um, I did it between some meetings. I think I spent a total of 25 minutes of wall clock time on it. I did it over the course of a couple of hours. And, uh, here is my schedule for the conference.[00:13:15] I can see it in a calendar view. This is what I should do on Tuesday, this is what I should do on Wednesday. Oof, no conflicts, but, you know, I may not go to every single thing. And there you have it built in, you know, dreamer. So let's take a look at what the building experience actually looks like. So this is the, the actual account that I made it on.[00:13:32] Oh, of course I should say anything you build on Dreamer also works on your phone. So, uh, here is my AI engineer conference app right here on my phone. Got all the same functionality, and of course this is the best place to jump into my schedule.[00:13:46] swyx: Yeah.[00:13:46] David Singleton: Um,[00:13:46] swyx: so you could generate a podcast about it just completely multimodal, absolute thing, right?[00:13:51] To me, I mean, this is why I outsource, I mean, well, I, I posted the L-M-T-X-T, the JSON because you cannot run an engineer conference in 2025 [00:14:00] and not let engineers. Do whatever they want.[00:14:02] David Singleton: Yeah.[00:14:03] swyx: And since all conference apps suck, I'm just gonna put up a ba minimum viable app and just let people do whatever they want.[00:14:09] David Singleton: Totally. And the cool thing about this on Bremer is I published this to the gallery and you can use it so you've got one that's built to my taste of conference apps. I think it's pretty cool. But you might want something different. Yeah. In which case you just start telling the sidekick how to change it.[00:14:23] So let's just very quickly look[00:14:24] swyx: at our, what sports grid is also, you can fork it, right? That I can publish. That's right. I can publish your one and go, this is the base starter. It's, it's got good defaults, but go customize, whatever.[00:14:32] David Singleton: That's right. That's right.[00:14:33] swyx: Yeah.[00:14:33] Agent Studio Under The Hood[00:14:33] David Singleton: So let's take a look at how I actually built this.[00:14:34] This is real. So I'm gonna say make changes. This experience we're looking at now is our, uh, agent development studio. Um, like I said, you can do this on your phone as well. And in fact, this one I started out on desktop. Let's look at my actual prompts. I said, let's make an agent called AI Engineer Schedule Planner should be a custom schedule planner for the AI engineer conference.[00:14:53] I'm not gonna read this all up. You get, you get the point and it told it where to get the data from. So that was the first prompt. And actually after I gave it that [00:15:00] prompt, I actually had a simple version of this app working, um, after the sidekick took one turn. So the Sidekick is a, like a professional software engineer, and we've worked very hard to make this work and build functional apps for folks that might not have any engineering experience whatsoever.[00:15:14] So, you know, done here we have build logs that are technical, but you can hide those away. And sidekick, as it is building, will actually translate everything that is coming out of, uh, of the, the harness into English that you can actually read. And by the way, this English is in the personality of your sidekick, which is fun.[00:15:32] Um. And the way that we build agents and agent apps, it's a little different to what you might have seen in some other platforms for a couple of reasons. One, just the build process. The very first thing that Sidekick does, it understands all the agents you've got set up. It understands all the tools and it will come up with a plan for how to realize your goal, how to make sure it actually has the data and the capabilities to complete it.[00:15:54] It will occasionally refuse. If it can't do what you're asking, it will tell you I can't do that. It needs another tool. And that's a good [00:16:00] jumping off point for any of the tool builders out there to build a new tool. So it'll fi first figure out how, then it will build it, and then it will actually test it.[00:16:07] So it will actually make sure that the thing that it has generated is realizing your goal. And you probably know as well as anybody that anytime you can get any. Modern state-of-the-art coding model into a loop where it can make changes and perceive its own output and then fix bugs. Magic happens. So these builds, the first build will often take 10 to 15 minutes on Dreamer, which is a little bit longer than you might've seen on some other platforms.[00:16:31] But the first thing that it creates will work most of the time. And then of course, as you start making smaller changes, you can like ask it to tweak the UI in any way that you like. Those are much faster. And just to give you a sense, uh, for this one, here's something I asked. Put a logo, I gave it a logo file in static files.[00:16:48] Use that as the title. So for folks that actually really want to dig, uh, into a bit more detail, we've provided a powerful IDE here. So I can actually see here's the code that was generated and some pieces of the [00:17:00] code are more accessible than others, like the prompts. So this is the prompt that's used by a powerful LLM in order to do that schedule picking.[00:17:08] And I can actually read it here directly. I can edit it without having to ask the sidekick if I want to do that.[00:17:12] swyx: So this is very nice.[00:17:13] David Singleton: This is for the more, the more, uh, sophisticated users.[00:17:16] swyx: Yeah. This is other people's entire startup is prop management.[00:17:21] David Singleton: This is true. The other thing that is different about Dreamer is once you've built something here, it's ready to go.[00:17:28] We host it. So you don't have to worry about getting a database from a database provider signing up, getting API keys. You don't have to worry about your LLM provider tokens. All of that is hosted on the platform. And you can use it yourself. You can share it to the gallery for other people to, to riff on it.[00:17:46] You can also share it with your friends and coworkers to use your instance of the agent or agentic app. And we're seeing that happen a lot in our community. We've seen a whole bunch of folks who built little applications for their personal life [00:18:00] and shared them with their significant other. We've seen people who are building little productivity apps for their team at work and sharing it, uh, among them.[00:18:07] And we actually do this a lot inside of the company. So at this point we, we pretty much run the company on Dreamer agents for all kinds of important things. Uh, maybe a good example of that is, um, our wait list. People are signing up every time someone signs up for our wait list. A dreamer agent will actually research, uh, that person.[00:18:25] And we're looking for folks who are builders, not super technical to build agents and come in, uh, and give us a lot of feedback and we're prioritized bringing those people off of the wait list First,[00:18:35] swyx: just a quick question on that one is there's, it may not come up again. Do you find enrichment APIs to be useful like the ZoomInfo?[00:18:42] Uh, clear bit[00:18:43] David Singleton: enrichment is a very, uh, common use case. Um, on dreamer. Any application on Dreamer can kick off a sub-agent to do a particular task. Um, so this actually is a powerful agentic harness that runs inside of its own [00:19:00] vm. Uh, we call them sidekick tasks ‘cause they actually run in the context of the sidekick.[00:19:04] I'll talk more about Sidekick in a second and. Enrichment is a very common use case. And the cool thing about a sidekick task is that it has access to all the tools on the platform, but also public data as well. And so very frequently enrichment on our platform happens using public data that it can be found in the web.[00:19:24] There are some tools for getting people data, uh, from, uh, from various bespoke systems. And so that works pretty well. But actually, you'd be surprised. I mean, we would love if someone out there would like to build a ZoomInfo tool, we don't have one today. We'd love to see that on the platform, and I'm sure it'll be very powerful.[00:19:39] But we're also seeing that this powerful agent harness can pull a lot of data in on that note of tools that make experiences better, we're constantly adding more tools because people in the community are building them and publishing them. We review the tools carefully and then they go live for everybody.[00:19:54] Yesterday we added granola. And that was pretty cool. So I was talking to actually, uh, Sarah on my team was [00:20:00] talking to, uh, someone building on the platform this morning and they actually, they have an agentic app that they built, which is a kind of magic to-do list. So they put stuff on their to-do list and for each thing it kicks off one of these, uh, sidekick tasks to figure out how to move the ball forward thing.[00:20:14] Sometimes it'll complete it[00:20:15] swyx: entirely. Yeah.[00:20:16] David Singleton: Often by calling another agent on the platform and sometimes it just kind of researches it and helps ‘em take the first step.[00:20:21] swyx: Yeah. Do you know, this is Sam Altman's number one, ask for an AI app. It's the self-completing to-do list.[00:20:26] David Singleton: Yeah. The self-completing to-do list is something that a lot of people have built on Dreamer and are getting a lot of use out of.[00:20:32] Yeah. And, and finding it actually genuinely I shouldn't, I should, I should try that. Mm-hmm. Please do. And you'll even find some in the gallery that you can remix. So he was saying this morning that he's, he built this self completing to-do list, uh, on Dreamer already. But he connected the granola tool yesterday and now something really magical happens, which is when he says in meetings that he's gonna do a thing, it magically shows up on his to-do list and then it can magically get completed.[00:20:56] And then, as I mentioned, all the agents, all the [00:21:00] apps on Dreamer can actually work together. So our coding agent, as it builds them, does something very special where it exposes the internals of each of the experiences to the system. And then Sidekick can manipulate those to get stuff done. So he has built another agent, which he uses for recruiting.[00:21:18] It kind of keeps track of candidates and also it's got a kinda mini CRM function, so he's able to introduce candidates to each other. He told us this morning that something he'd committed to do in a meeting that was recorded on granola yesterday showed up in his magic to-do list and his magic to-do list.[00:21:34] It was like introduce a person for recruiting, used his recruiting agent to get it done.[00:21:39] swyx: Ah,[00:21:39] David Singleton: um, and this is, this is the dream. This is why we started the company. It really is the case that you can build and use these very powerful, bespoke experiences that can automate your life by working together. And I'd love to talk a little bit about how they work together.[00:21:55] Ecosystem Trust And Monetization[00:21:55] David Singleton: So obviously it's really cool to have [00:22:00] software that will work on your behalf, but it's only useful if you can trust it, right? So privacy and security is very important to us making these things accessible and. While also being trustworthy is hard. So the model that we have, which is working very well, is that the sidekick is at the core of everything here.[00:22:22] So it is both your companion, your helper, but it's also the traffic cup in the system. So when, when one agent wants to work with another agent and dreamer, it doesn't do it directly, it does it via the sidekick, well ask the sidekick to do the thing. And the sidekick understands both everything, all the expectations that have been set with me as a user about what agents can do, which tools I've given them permission to use.[00:22:45] And it will make sure that whatever is is going on is actually aligned with my own interests. And you know, that's part of the background that I bring to this problem domain. I've. Worked for years, uh, keeping very important information, safe and secure. And [00:23:00] so as we started to think about this problem, we realized that we actually had to build something that's a bit like an operating system.[00:23:06] You know, the sidekicks, like the kernel, the agents and apps are like users. Yeah. Different rings. Exactly. Because if you try to pick off just one piece of this, you can't actually make it work for people at scale. Uh, because you could build little vibe coded apps, but they're gonna grab all your data willy-nilly.[00:23:23] They won't be able to work together. You actually have to invest in the fundamental core in order to make it work well for people. And that's what we've been doing and it's, uh, it's been a lot of fun. One other thing I wanted to mention is, um, I've obviously talked about two things, tools and agentic apps.[00:23:42] We really designed Dreamer to be an ecosystem and a platform, and one of my favorite quotes about platforms, I think it's from Bill Gates, is that you can only be a platform. If you create more value for the folks participating and using the platform than, than the platform itself creates. [00:24:00] And that's our goal here.[00:24:01] So we at every step have been thinking about how do we make sure that other people are deriving even more value from Dreamer than we are? So in that vein, I already mentioned tool builders get paid and people can build agents that solve their needs and share them with others, and we are already thinking about ways that they can actually monetize those as well.[00:24:24] Against that backdrop, one of the things that we are launching today is our Builders in Residence program. So there are tons of people building really cool stuff and contributing it to the gallery already, but we've been really inspired by programs we've seen at other companies where artists might be in residence, people that are very creative.[00:24:43] And might have ideas outside of what the, the folks at the company or in the ecosystem already have. And so we are looking for creative people who have fun ideas and, you know, want to really figure out how to apply their creativity at the cutting edge [00:25:00] of technology today to come and work with us. So, uh, if you go to dreamer.com/latent space, you'll find, ooh, well, we love Latent space.[00:25:09] Uh, you'll find a link both to, uh, our tool Builder information and our builder in residence program. And for builders and residents, we'll let you in off the wait list quickly, build an agent, and then for a small number of, of the most creative folks, we're going to pay you to build agents. Uh, you can work directly with our team.[00:25:29] You know, this is like building Legos. So, you know, we've got some of the basic blocks together already, but if you need a Ron steering wheel and we don't have one already, like we'll build it for you. Yeah. Um, we really want to be inspired by, by these, uh, these builders in residence.[00:25:43] swyx: This Legos thing is pretty common as an analogy.[00:25:46] And there's a, there's a thing I call the master builder. Uh, we, the actual Lego company has master builders that they employ Yeah. To inspire people and post on socials.[00:25:56] David Singleton: That is exactly what inspired us as well. Honestly, we talked about the Lego Master [00:26:00] Builder program, so that's our builder in residence program.[00:26:02] swyx: Yeah.[00:26:03] David Singleton: Um, and then, uh, finally back on, on tools. Like I said, anyone can come in and build tools today. If you follow the latent space link dreamer.com/latent space, again, we'll get you off. Directly off the wait list. So you can build right away, you can monetize by publishing onto the platform. That's for everyone, the very best tool that gets added to the platform by mid-April.[00:26:23] Uh, we have a $10,000 prize that we want to give out really, because we just want to seed the creativity of everyone out there. So we're excited to do that.[00:26:31] swyx: Yeah. And you know, uh, this is completely a flywheel, right? Like the more tools, the more builders, the more the third thing agents, you know, it just feeds into each other.[00:26:39] David Singleton: That's right.[00:26:39] swyx: Yeah. Just on the payments thing, because we probably won't touch on that again, but I have to ask the former CTO Stripe on payments as presumably you're using Stripe Connect.[00:26:48] David Singleton: Yeah.[00:26:48] swyx: Um. Any pain points that you're, people are very interested in agent commerce and micropayment and all these things.[00:26:55] Presumably stable coins get into a conversation at some point, but maybe not now.[00:26:58] David Singleton: Yeah, we are [00:27:00] really, really excited about e agent commerce. The first step we are taking is help people in the world who have never been able to build these kind of experiences and software before to build stuff that meets their passions, share it with the world and get paid.[00:27:14] So that's all commerce that happens on our platform, and so we don't need anything new to facilitate that. Stripe Connect has existed for quite a while and is the perfect solution for this kind of stuff, so, um, we we're excited about that. First and foremost, however. A lot of the things that people are already doing on Dreamer, we just talked about a self-completing to-do list.[00:27:34] A lot of the ways that you want to complete to-dos is by actually closing the loop in the real world, and that's going to involve the exchange of value. So we have some folks that are building tools already that actually do have money move in order to, to complete that, that loop. So far, we just want to be open and agnostic to all the protocols out there.[00:27:54] I honestly think this moment in time is a little bit like the early web. So I personally started coding as a kid [00:28:00] and I think I got access to the internet in about 19 95, 19 96. And back then, uh, the web existed, you know, HTTP was a protocol, but there were also other protocols I was using all the time, like Gopher and UUCP and uh, various others.[00:28:15] So the point is like the web, HTTP and HTML. Was just one among many protocols. And of course it became the winner and it's awesome. Yeah. Um, but the others were also kind of interesting and viable at the time as well. And I think the world of agentic commerce is like this right now. Also,[00:28:30] swyx: acp.[00:28:31] David Singleton: Acp, exactly.[00:28:32] All the, all the cps, you know, on Dreamer. We hope that folks will build tools that kinda make use of all of these things, but I'm sure that at a certain point. One or two will emerge as the winners, and then we'll be able to build like really deep support in,[00:28:44] swyx: yeah. This is like maybe a complete tangent, but I do think about how a lot of these companies in AI companies in particular have to switch from c based to usage based because of course, but then, then they end up, end up having to sort of [00:29:00] obscure the margins a little bit and then they inventing end up inventing their equivalent of rob robots.[00:29:04] David Singleton: Mm-hmm.[00:29:04] swyx: Uh, where they're like, well, okay, well every company should have their own currency. And it's, it's like very short lead to a token.[00:29:11] David Singleton: Yeah.[00:29:11] swyx: Or, and I'm like, okay, well where does this end? I can't really play out the next step as to like, is this chaos? Is this,[00:29:18] David Singleton: yeah.[00:29:18] swyx: Okay.[00:29:18] David Singleton: Well, I think it is kind of like the wild west.[00:29:21] I don't mean that in a completely, it's all completely disorganized way, but there's just so many things that could happen from here. The Overton window is very wide, right? Not far how this might land. And I'm just very excited to be building a platform that can take advantage of all of those opportunities and we're just gonna be there.[00:29:36] Uh, working for our users to make sure that things that emerge work,[00:29:39] swyx: you're gonna own the consumers, you're gonna be up the OS for the app store for everything.[00:29:43] David Singleton: So one of the ways to think about this is, um, dreamer actually uses all of the state-of-the-art models as a user. You don't have to think about should I be using, you know, Opus four six, or should I be using the five four model from [00:30:00] OpenAI?[00:30:00] We are continually doing evals and so forth to make sure that the best things are there for you. You can just build on the platform and know that as the world ships around, you're gonna get the right stuff for you. Um, and I think that's something that is needed to actually have folks take advantage of this technology at scale.[00:30:19] I'd love to show you another example of something I built.[00:30:21] swyx: Let's do it.[00:30:22] David Singleton: This is another example of software that just lasts for a certain moment in time. So recently I went on a ski trip with a bunch of friends,[00:30:31] ski[00:30:31] David Singleton: Bum. Uh, so it uses ski bum. Yes. I went on a ski trip to Big Sky. I'd never been there before.[00:30:38] And I made this little intelligent app for us. And you can see it says it's loading big sky conditions. So it's actually calling the Ski Bum tool that I just showed you, which is, uh, published in our, uh, in our gallery. So what is this? This is a little app that was just for our weekend trip. It shows the current status of all the lifts of Big Sky.[00:30:54] Using that tool from the ecosystem, it shows the forecast for the upcoming weekend. It shows our [00:31:00] accommodation. This is just like where my group was staying. This is just for us and also a bunch of dining information that one of our friends, uh, put together who, who's an expert on Big Sky. So I was able to take this app, share the link with my friends.[00:31:12] They weren't on Dreamer yet, just send it to them on iMessage and they get a version they can use on their phone. And of course, here's the real kicker. So I've been on ski trips before and other weekend adventures with my friends. Yeah, people pay for different things and at the end of the weekend it's always a pain to figure out who needs to pay, who to settle up.[00:31:29] So we use this during the weekend. We added all of our expenses in here. Uh, too close are it's drill data. It's only too closely. And then at the end of the trip, we press split. And we're, we settled up and we're done. So there's another dreamer. This was all through dreamer. So the, the actual payment? No, no.[00:31:47] We, it happened because, because we paid for stuff in the real world, it was like, okay, this person needs to pay that person 20 bucks. Right? Right. This person already paid in that. Right. So it just helped us all settle up. We didn't move the money on Dreamer. You could do that. And in fact, if you're a tool builder [00:32:00] thinking about this and getting excited, like come build a tool to do that stuff.[00:32:02] We really think of our tool builders as design partners.[00:32:05] swyx: Yeah. I got, I got the tool. Uh, what, like, I hate, I use Bank of America. I hate bank, I hate the app. Mm-hmm. I hate the web. All banking websites just horrible.[00:32:13] David Singleton: Yeah.[00:32:13] swyx: So just build me, like build a thing on top of Plaid.[00:32:15] David Singleton: Yeah. Right. And then just So[00:32:17] swyx: five code by banking app,[00:32:18] David Singleton: there's already a tool for that.[00:32:20] Oh. So, um, attain Finance is a tool, a builder in our community built. Okay. Um, and it uses a secure system like Plaid. To access your, uh, financial data and you can build powerful personal finance agents on Dreamer today using this tool. And like I said, we review tools carefully. So when bringing Attain Finance onto the platform, we did actually quite a detailed security review with that company to make sure that if folks build stuff with it, it's, it's gonna work well.[00:32:49] So yeah, check that out. I think, uh, I'm, I'm pretty certain it connects to Bank of America. So you'll be able to build the, the app that you wanted already?[00:32:55] swyx: Yeah. There's a couple of points I wanted to sort of dive in on, maybe highlight to folks, [00:33:00] because I, obviously, I spent more time with Dreamers. So we're making a point where you choose on behalf of your users because they're meant to be consumers.[00:33:07] So maybe less technical,[00:33:08] David Singleton: right?[00:33:08] swyx: But obviously people can, how users can override. If you read that's, but it's not just lms, it is also the, the transcription. It, it's like all, like there's, there's a first party curated set of here's the house opinion. That's right. On what?[00:33:21] David Singleton: That's[00:33:21] swyx: right. The thing is, that's right.[00:33:22] Is what's the list? Is there like,[00:33:24] David Singleton: yeah, so actually if you look in the tool gallery, the first party kind of curated set are all the ones that have these grayscale icons. So we have a built in tool for image understanding, for image generation, for RSS, exploration, text to speech and so forth.[00:33:38] swyx: Recipes.[00:33:39] David Singleton: Uh, we actually do have a built in recipes tool.[00:33:41] It turns out that a lot of people in our alpha wanted to do stuff for cooking. Yeah. Um, and you know, you can scrape the web to get good recipes, but we were able to quite quickly find a good repository of recipes. It works great here. Yeah.[00:33:55] Stable Tool Interfaces[00:33:55] David Singleton: So the point behind these though is that we'll keep the interfaces stable, so they'll always work.[00:34:00] But you know, the best translation model and, you know, there are people using this translation tool to translate Chinese podcasts into English. It's, it's pretty powerful. It can deal with very long text, but the best translation tool today might be different from the best translation tool sometime next year.[00:34:15] And we're just gonna make sure that that translation tool is always pretty close to state of the art. So you can build something and you know it's gonna continue to work well. Of course, some of our tools are branded. You may actually have a preferred way of buying groceries, like maybe you prefer Instacart and that's great.[00:34:29] You can use the Instacart tool specifically.[00:34:31] swyx: Yeah.[00:34:32] Partnerships And Ecosystem[00:34:32] swyx: Your partnerships, uh, I mean, I don't know if you ever hit of partnerships, but this is gonna be a bonanza for anyone on to do deals.[00:34:38] David Singleton: We have an amazing person who, uh, works on all of our partnerships. Um, and it's part of what you have to do to build a platform like this that's gonna work for people.[00:34:46] Like, we've gone and done that. Schlep has a lot of work, one talks lots of different companies, um, in order to make sure that you've got good tools at the core.[00:34:54] swyx: Yeah.[00:34:54] David Singleton: And then of course, because we're open to tool builders contributing to the platform, this is only gonna get better and better and [00:35:00] better.[00:35:00] swyx: Yeah.[00:35:01] Agent Lab Routing Layer[00:35:01] swyx: One observation I have this, this is gonna master a thesis I've been pursuing, which is, uh, what I've been calling an agent lab[00:35:05] David Singleton: mm-hmm.[00:35:06] swyx: Where you sort of different than a model lab in, in, in the sense that you never train your own models, but you are the router evaluation layer, ex subject domain expert for choosing between, uh, models.[00:35:18] David Singleton: Yeah.[00:35:18] swyx: And you're explicitly doing these things. And so like in my sort of construction, every agent lab does some version of this where like, here's the image understanding endpoint and we will route for you and don't worry about it. Yeah. Sally, I think it's kind of cool.[00:35:32] David Singleton: I, I think it makes total sense. Um, and again, to make this work for folks that don't follow the AI news every day, it's an actually, it's a, it's a really important thing to do.[00:35:42] Yeah. And it, it's been, it's been a real pleasure. I mean, I'm a, I'm personally a total geek for this stuff. I love it. And being able to go and dive into all those details in order to make it work well for other people. It's a true pleasure. I cannot imagine working at anything else right now. It's just so much fun.[00:35:56] swyx: The tricky part is multimodality when some of these things do [00:36:00] merge.[00:36:00] David Singleton: Mm-hmm.[00:36:01] swyx: And you are, you're sort of, this is your imposing structure on things that fundamentally don't want to be structured. And so sometimes that might work against you, but for 99% of these cases, this is fine.[00:36:10] David Singleton: Yeah. I mean, I think it's gonna be very interesting to see how the, the, the world matures because a lot of the power of dreamer is the ability to kick off these subagents, so these powerful agent harnesses, which can actually change how they work based on the data.[00:36:25] I actually think that we will be able to. Kind of keep up with and stay at the forefront of the changing landscape of how tools and systems work together. And that's, that's new. You know, software didn't used to work like this and now it does. Um, so even, even just figuring out how to design the right pri to make that possible has itself be a lot of fun.[00:36:44] Builders Can Publish Tools[00:36:44] swyx: This is, is a sort of maybe two part question that why can't streamer make its own tools? And then why don't you let you builders maybe stand up their own routing group? I call this a routing group, right? Like where it's like collect Yeah. Things.[00:36:58] David Singleton: So two things, to [00:37:00] some extent, dreamer does make its own tools in that agents appear to the system as tools.[00:37:05] So they can be, they can be used to accomplish things. So you can build an agent that is essentially a tool. Yeah. Um, and it it,[00:37:12] swyx: which is to me very useful for reuse.[00:37:14] David Singleton: Right.[00:37:14] swyx: Right. Exactly. ‘cause I, I like, this is the way I like it. Now my next five apps, I don't want to do this whole series of back and forth again.[00:37:20] David Singleton: Right.[00:37:21] swyx: Yeah.[00:37:21] David Singleton: Um. Then at the tool layer of the system, it's open to anyone. So it's actually quite powerful and flexible. So if you wanted to add a tool, which was, uh, imagine that you were training your own foundation model, Swyx. That might be fun. And imagine you wanted people to be able to play with, I don't know, maybe you make like, you know, nano chat or whatever and you want to Yeah.[00:37:42] Let people play with your own nano chat and see how I change themselves.[00:37:44] swyx: Now.[00:37:45] David Singleton: You could, you could publish a tool that is Nano Chat and it nano image generation behind a tool, and it could be your own writer if you wanted to. I see. And honestly, if that's the kind of thing that gets you excited as a builder, please come and do it.[00:37:57] Like we, we really are [00:38:00] believers in this idea that we aren't going to figure out every single detail ourselves. We're gonna make sure it's a safe and fun place to build this stuff, but we're really open to these ideas coming from other people. Um, and so I'd like nothing more than you come in and build a tool that does some of that cool stuff that you, that you have in mind.[00:38:15] swyx: Yeah. Awesome.[00:38:16] David Singleton: And just as a reminder, if you'd like to do that, the way to find the links is dreamer.com/latent space. Um, and for a limited time on that page, um, anyone who's listening to this podcast will also get directly off of our wait list. Uh, it's quite long right now. We are working hard to bring Zika.[00:38:32] Wait, so skip the wait list.[00:38:33] swyx: You know, I think, I think that's fantastic. I, I think it's, it is really sort of probuild way to do it. I wanted to jump back to the, the bar. Yeah. You know, you know, I get excited about this.[00:38:41] David Singleton: Yes. Okay. Let's set it back in there.[00:38:43] swyx: Like, let's, you know, this is the engineer podcast that's get[00:38:46] David Singleton: Yeah.[00:38:46] swyx: As technical as you can.[00:38:47] David Singleton: Yeah.[00:38:47] swyx: On everything you've built, like have a show off.[00:38:50] David Singleton: Yeah. Okay.[00:38:51] Under The Hood Debugging[00:38:51] David Singleton: So let's go wild in the aisles in the Asian studio. So as you can see, over on the left here is a conversation with the sidekick where you ask it what to do and it will explain in English that anyone can understand what's going on.[00:39:03] But, um, if you want to pull back the covers and look under the hood, um, if you're, uh, an engineer like me, then we have this, uh, this kind of debug drawer at the bottom. So you can see the full build logs here, but you can actually also dig in and see the files and prompts that have been generated. Uh, you can upload files from your computer in static files.[00:39:24] Um,[00:39:24] swyx: very important,[00:39:25] David Singleton: uh, indeed. You can actually read the prompts that have been generated for you. We intentionally put an example in here just that you can see what the format looks like. And then, you know, we already looked at this one that was generated for this particular, um, app, but if you actually want to bring the code out of Dreamer and work on your own local machine, you can.[00:39:45] So at the core of everything here is an SDK with a powerful command line interface and we built that first. It's actually possible to build agents on Dreamer without talking to the sidekick. You can write code with your fingers on a keyboard if you want to. I know that's very [00:40:00] antiquated, not, but actually this can be a lot of fun.[00:40:02] So if you wanna pull it out onto your laptop, you can use our, our CLI and, uh, you can edit it in cursor or in cloud code. You know, you don't have to use our sidekick. And the CLI actually has full access to the rest of the platform with you as the user. So, you know, obviously it is, uh, secure and privacy sensitive, and this is a way that, um, some of our most technical builders do build stuff on the platform.[00:40:24] The really cool thing is the side cake. When it's in coding mode, it uses exactly the same CLI. So the way it. Build stuff on Dreamer is using the same tools that you might as an engineer. Um, and that's actually a very powerful abstraction because it turns out that the right way to give a lot of context to agents to use CLIs is to write great documentation.[00:40:46] Make sure that all of the things that you could do are actually possible. And guess what? That makes it a delightful developer experience for real heroes as well.[00:40:53] swyx: Yeah. So that's pretty cool. We've been telling developers to do this and they ignore this until now they have to for content.[00:40:58] David Singleton: I, I've been saying this for a [00:41:00] long time.[00:41:00] Uh, we actually Stripe docs.[00:41:02] swyx: I mean, come on. Absolutely. Come on.[00:41:03] David Singleton: Absolutely. But actually, I was chatting with folks at Stripe last week and saying, Hey, you gotta make the Stripe CLI actually tell agents what they can do on Stripe because that way they're gonna use more stuff on Stripe. I think this is a real trend for the entire industry.[00:41:16] swyx: Yeah.[00:41:16] David Singleton: So we, we've been doing that.[00:41:17] swyx: To me, this, this download and, uh, GI push mm-hmm. Everything is complete confidence in that you're not hacking it. Right. Because there's other, let's call them AI builder platforms that impose their stack on you and if you, if you, and so therefore they don't allow you to do this because they cannot.[00:41:34] Right. ‘cause they, they impose some degrees of freedom, uh, restrictions so that they can get it to work. Yours is a fully general like VM running the full code. Correct. Do whatever you want. Correct. Any language you want. Correct. Yeah.[00:41:46] David Singleton: Correct. Well, in terms of language, if you use the SDK, you could build stuff in other languages.[00:41:51] We've actually found that TypeScript is the best language for building these experiences. Yes. Because it's strongly tight. So you find out at compile time if you've made mistakes [00:42:00] and there's nothing better than getting in. A coding agent in a loop where it can see its mistakes and ask them. So TypeScript is the language that everything gets built in by default here.[00:42:08] swyx: Did And did you see that TypeScript overtook Python? I did. I did. Yeah.[00:42:12] David Singleton: And for what it's worth, when we started the company, we started writing stuff in Python, and I love Python. Um, if I do, uh, a vendor code, I always write it in Python. It's my favorite language as a developer with my fingers on the keyboard.[00:42:23] Um, but TypeScript is an amazing language for AI because there's tons of training data in the models, um, and it's strongly tight. And actually at the company we built most of the stack in TypeScript, and we have this amazing property, which is, we have type safety all the way from the database to the front end.[00:42:40] And there's nothing better for working with coding agents than being able to have them check their correctness, compile time. So the same ideas behind building the company's code base, we've put into the agent SDK here as well.[00:42:51] swyx: Yeah. Do you know if you'd use one of those tools, like Prisma or whatever, or is it Tool Lab for you?[00:42:55] David Singleton: We, we actually have crafted most of our own tools. Um. For [00:43:00] instance, we had LLM Driven Code Review, uh, before the thing that got published from philanthropic this week. You know, we, we've been doing this stuff, uh, on our own bat[00:43:07] swyx: email, we'll pay $25 per review.[00:43:09] David Singleton: We, we pay a lot less than that. However, I hear that those reviews are excellent and possibly worth $25.[00:43:14] swyx: Yeah. You know, it's an option. Right. It's good, good to have it.[00:43:17] David Singleton: Just to give you a tour of some other stuff here. So, um, I can also see all the versions. Yeah. Um, this is not gi, this is not gi, this is built into dreamer. I can see all the versions that have been pushed before. Why is it[00:43:27] swyx: not gi?[00:43:28] David Singleton: It's not gi because we can make it work more efficiently than Git.[00:43:32] And we actually, we do some work behind the scenes to kind of understand what's in each of these versions. Yeah. Um,[00:43:37] swyx: so one of the things I'm pursuing, and I have a lot of thesis, right? Mm-hmm. One of the thesis is like, does GI go away? Does GitHub go away? And like, what, what is the active reinvent[00:43:46] David Singleton: you for, for what it's worth to some extent.[00:43:48] And anything you build, there's a lot of path dependency. If we started over, we might make this gi There's, uh, you know, within the company we use, uh. For our, you know, platform source code. And we like it and it [00:44:00] works well with coding agents as well. The very first versions of this, we wanted to be able to make it possible for the sidekick to manipulate it easily.[00:44:06] Um, and this, this was an expedient way to do it.[00:44:08] swyx: Yeah.[00:44:08] Workflows Logs And Databases[00:44:08] David Singleton: Um, you can also see all the activity that has happened in the workflows that you build. A lot of agents, you'll build on Dreamer, do things in the background, so they run on triggers. These are stimuli from the outside to kick them off, and this is a nice way to see all of the things that might have kicked off your agent.[00:44:24] You know, you can have an agent that kicks off on a webhook, so you can plug it into external systems. You can have an agent that runs when you receive certain emails that match filters, including LLM filters. And so here you can see, oh, when did it run? What did it do? You know, if I open up one of these guide me prompts or guide me, uh, events.[00:44:41] Oh my can see God. Well, I told you it was calling an LLM for every one of those time slots. Here's all of the LLM calls, here's the actual prompts.[00:44:49] swyx: And you don't mind exposing all of this, right?[00:44:51] David Singleton: No. We want builders to see what's going on under the hood. It's haiku to,[00:44:53] swyx: okay. Yeah. So,[00:44:54] David Singleton: okay. Right now that one was haiku.[00:44:56] Like I said, we work with all the models and sidekick will actually pick the best one [00:45:00] for the job. And you saw that was pretty high quality and pretty fast. So Haiku four five is the one that it picked for that job. Exactly. Uh, we also have logs, as I mentioned, there's a database spun up on demand for every, uh, agent.[00:45:12] You don't have to go and figure out how to do your own hosting. This is a SQL Light. This is a SQL Light database. Yeah. Um, it's a multi-user SQL light database. And then, uh, but, but each one is you, you get a database that is unique to this agent. But then if you share the agent with multiple people, we take care of like who are the owners in each row?[00:45:31] And all of that stuff is just there outta the box. Um,[00:45:34] swyx: and again, in-house?[00:45:35] David Singleton: In-house.[00:45:36] swyx: Oh my God.[00:45:37] David Singleton: Yeah. Um, well we do work with a bunch of infrastructure providers, but the technology for how to manipulate this is in-house. Fun fact. We actually did a lot of our own infrastructure development early on at the company and realized we need to spend our energy in the stuff that we're uniquely doing in the world.[00:45:53] So we're very delighted to partner with a bunch of great designer and some of this stuff. And then finally, um, I mentioned that agentic apps agents [00:46:00] expose all of their internals to the system so the psychic can manipulate them and use them just like a user can. So you can see how it's decided to break this problem up into functions.[00:46:09] Some of the functions, the ones with the little I here are exported. That means that there's probably the visible from outside. Exactly. And others are internal. And if you want to, you can dig right in here and call individual functions and see what happens. But mostly. You don't need to think about that at all.[00:46:24] Yeah. Uh, you can keep that little drawer closed and you can talk to your sidekick and build really powerful and enchanting experiences.[00:46:30] swyx: Yeah. I mean, to me, like showing this gives the engineer a complete mental model of what you've done and what you can do with it. Yeah. For example, the first thing I, I, I look for.[00:46:39] A mental checklist of things, right? Like is off in the database, off looks like it's not right. So that's a separate layer. That's probably me means it's hard to do multi-user apps on the same app, right?[00:46:50] David Singleton: So you actually, we've solved that. So, um, see, yes, the platform builds in off, so you as a user sign into the platform, if you're using an [00:47:00] agent that was published by someone else, then your identity is, is kind of taken care of by the system.[00:47:05] And when you query the database, you're gonna get the stuff that is for you. Unless the builder specifically said, this is public data that everyone should see. So they, they actually get a chance to think about that. And again, sidekick can guide you through building, uh, agents and apps that work that way.[00:47:19] So you're right, that's another thing that people have to think about when they're trying to figure out how to build software experiences on Dreamer. You, it's built in. You talk to the sidekick as if it were a human being about what you want and that's what you get. So, you know, my, my Big Sky app that I just showed you that was designed for multiple people to use it.[00:47:38] And of course the things that we were putting in as expenses were supposed to be visible to everybody, and I just told the sidekick that's the way I wanted it. Uh, but by default, if I built an app like that, the data from each user would not been visible to the others.[00:47:49] swyx: Yeah. Yeah. Uh, this is, I presume this is a mood question, but basically you've had to build your own coding agent, right?[00:47:55] Which is sidekick slash whatever is in Inside Psychic. Obviously there's a lot of [00:48:00] people with a lot of desire for cloud code and Code X and attachment to it. Mm-hmm. I know under the hood data basically reduced to a loop, but like, would you let people use cloud coding and Code X or is the harness too specialized?[00:48:12] David Singleton: Yeah. If you, if you want to use, um, cloud code and Code X, then you go down here. Yeah. Hit get the S St K. And we even say this right here, edits your heart's content Z cursor code.[00:48:22] swyx: Like people want to use it inside of Ick, right? Yeah. They want to switch the engine.[00:48:26] David Singleton: Yeah.[00:48:26] swyx: That's the coding engine.[00:48:27] David Singleton: Yeah. We are not doing that right now.[00:48:29] Um, you know, again, the goal really is abstract the complexity. Yeah. Um, because the real target for. Building agentic apps is folks who can't do this already today. I can't tell you how many users in our community I've spoken to who are like Dreamer has changed my life because I used to have all these ideas.[00:48:50] If only I could find an engineer to help me implement them, I'd be able to get them done. They're free, and now I can talk to my sidekick and, and get it built. I think that's like really how we think [00:49:00] about the people that should get a ton of value and fun, um, out of the platform. And so they're not asking to be able to plug in their their own, you know, coding agent.[00:49:11] And for those folks, the opportunity is massive. If you've never been able to do stuff in code, now you can build stuff for you, for your friends, for your family, for your coworkers. And also there's a huge opportunity for folks who do build stuff in code to actually contribute to this ecosystem. So that's how we think about it.[00:49:28] swyx: Yeah. Amazing.[00:49:28] Personalization And Memory[00:49:28] swyx: That's most of what I wanted to cover Dreamer wise. I think personalization and memory yeah. Is probably like the single most important job of, uh, of the os. Maybe we could talk about that and then I'll, I wanted to zoom out on company building stuff.[00:49:40] David Singleton: Yeah, yeah. Sounds good.[00:49:41] swyx: Yeah. So how do you handle memory?[00:49:43] What, yeah, what have you found? What have you tried and failed?[00:49:45] David Singleton: Yeah. Okay. So, uh, first of all, at the core of dreamer is the sidekick. The sidekick gets to know you and it builds up a memory about you over time, and that turns out to be very important. So Dreamer, that's

In this episode, we discuss Meta's new Manus desktop AI agent and its implications for AI as an operating system layer. We also cover startup Niv AI addressing AI data center energy consumption, Memories AI's visual memory layer for robotics, and Anthropic's dominance in new enterprise AI spending over OpenAI, which is now strengthening its government footprint with an AWS deal.Chapters00:00 Introduction and AIbox Update01:26 Meta's Manus Desktop AI Agent02:55 Niv AI Tackles Data Center Energy04:32 Memories AI for Visual Memory06:54 Anthropic Leads Enterprise AI Spend08:36 OpenAI's AWS Government Deal LinksGet the top 70+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

From installing network cards as a teenager to navigating four successful exits across decades of tech evolution, Raj Singh shares lessons on acquisition timing, building buyer relationships, and the emotional journey founders experience after selling. Raj Singh is VP of Product at Mozilla, leading new zero-to-one product initiatives. He joined Mozilla in 2022 via acquisition of his startup Pulse (AI meeting summarization). Previously, he co-founded Tempo AI (acquired by Salesforce 2015), All the Cooks (acquired by CookPad), and served as VP of Business Development at Skyfire (acquired by Opera). WHAT YOU'LL LEARN You'll discover why exit windows matter more than plans, how to build relationships with potential acquirers years in advance, the four emotional stages after selling, why 80-85% of acquisitions are CEO-driven, and how founder fatigue is the number two reason startups fail. RAJ'S JOURNEY Raj's entrepreneurial instincts showed up early. Before college, he installed network cards in friends' computers for students heading to dorms. Desktop computers didn't have Ethernet ports back then, so he bought cards from Fry's Electronics, installed them, set up drivers, and charged for the service. His first substantive deal came during the dot-com crash, a net-zero acquisition in the early video codec era around 2000. He's since navigated four exits across radically different market conditions: the dot-com crash, 2008 financial crisis, COVID, and today's landscape. Each taught him something different about timing, negotiation, and integration. "What worked yesterday doesn't work today." THE SERIAL EXIT OPERATOR Raj's perspective comes from exiting companies during each major market cycle, giving him pattern recognition most founders never develop. At Mozilla, he's thrived leading products like Mozilla Solo (AI website builder) and Postful (social media management), finding ways to keep learning within a larger organization. KEY INSIGHTS Exit windows exist and close. Miss one, and the next might not emerge for 3-8 years. Founder fatigue is the number two reason startups fail. The hardest question: can you push through for another five years? Build acquisition relationships years in advance. Identify your 10 most likely buyers on day one. Check in every six months with no intent to sell. Acquisitions are about timing. If your timing doesn't align with a buyer's executive off-site decision, you could be off by six months and it won't happen. The emotional journey: relief when the deal closes, regret within days, inspired to make it the best acquisition ever, then acceptance it's not your company anymore. FOR MORE ON THIS EPISODE https://www.coreykupfer.com/blog/rajsingh FOR MORE ON RAJ SINGH LinkedIn: https://www.linkedin.com/in/rajansingh/ Email: raj@rajansingh.com Twitter/X: @rajansingh Threads: @rajansingh FOR MORE ON COREY KUPFER https://www.linkedin.com/in/coreykupfer/ https://www.coreykupfer.com/ Corey Kupfer is an expert strategist, negotiator, and dealmaker. He has more than 35 years of professional deal-making and negotiating experience. Corey is a successful entrepreneur, attorney, consultant, author, and professional speaker. He is deeply passionate about deal-driven growth. He is also the creator and host of the DealQuest Podcast. Get deal-ready with the DealQuest Podcast with Corey Kupfer, where like-minded entrepreneurs and business leaders converge, share insights and challenges, and success stories. Equip yourself with the tools, resources, and support necessary to navigate the complex yet rewarding world of dealmaking. Dive into the world of deal-driven growth today! Episode Highlights with Timestamps:[00:06:37] - Introduction: Raj Singh's bio and background [00:08:28] - Childhood computer interest and early entrepreneurial instincts [00:08:54] - First side hustle: Installing network cards for college students [00:12:07] - First substantive deal during dot-com crash [00:13:30] - Evolution of startup ecosystem: from Chamber of Commerce books to today [00:21:24] - Journey to Mozilla via Pulse acquisition [00:24:03] - Why staying at Mozilla works: continuous learning and challenge [00:32:10] - All the Cooks exit during Y Combinator three-day decision window [00:35:53] - Tempo AI monetization struggles and Salesforce acquisition [00:39:23] - Four emotional stages after acquisition: relief, regret, inspired, acceptance [00:43:07] - Exit windows and why timing matters more than plans [00:43:32] - Founder fatigue as number two reason startups fail [00:48:19] - Building relationships with 10 potential acquirers from day one [00:50:42] - When incumbents enter your category (market acceleration) [00:51:05] - Enterprise multiple winners versus consumer winner-take-all [00:51:31] - Current work at Mozilla: Solo and Postful products [00:52:53] - What freedom means: choosing where to spend time Guest Bio: Raj Singh is VP of Product at Mozilla, leading zero-to-one product initiatives. He joined via acquisition of Pulse (AI meeting tools) in 2022. Previously: co-founder/CEO Tempo AI (acquired by Salesforce 2015), co-founder All the Cooks (acquired by CookPad), VP Business Development at Skyfire (acquired by Opera). BS in computer engineering from Cal Poly. Host Bio: Corey Kupfer is an expert strategist, negotiator, and dealmaker with more than 35 years of professional deal-making and negotiating experience. Corey is a successful entrepreneur, attorney, consultant, author, and professional speaker deeply passionate about deal-driven growth. He is the creator and host of the DealQuest Podcast. Show Description: Do you want your business to grow faster? The DealQuest Podcast with Corey Kupfer reveals how successful entrepreneurs and business leaders use strategic deals to accelerate growth. From large mergers and acquisitions to capital raising, joint ventures, strategic alliances, real estate deals, and more, this show discusses the full spectrum of deal-driven growth strategies. Get the confidence to pursue deals that will help your company scale faster. Related Episodes:Episode 328 - Richard Manders: Serial Acquisitions and Scaling Through M&A Episode 350 - Tom Dillon: Understanding Business Valuation and Exit Planning Realities Episode 325 - Kelly Finnell: Using ESOPs in Ownership Succession Planning Episode 330 - Pete Mohr: Building Enterprise Value and Exit Readiness Episode 339 - Equitizing Key Employees and Succession Planning Strategies Social Media: Follow DealQuest Podcast: https://www.linkedin.com/in/coreykupfer/ https://www.coreykupfer.com/ Follow Raj Singh: LinkedIn: https://www.linkedin.com/in/rajansingh/ Twitter/X: @rajansingh Threads: @rajansingh Keywords/Tags:startup exits, M&A timing, acquisition strategy, multiple exits, founder fatigue, exit windows, serial entrepreneur, Salesforce acquisition, Mozilla products, Tempo AI, enterprise versus consumer, building acquisition relationships, CEO-driven acquisitions, emotional journey after exit, strategic buyer relationships, All the Cooks, CookPad acquisition, Pulse acquisition, tech evolution, startup integration, venture capital, exit readiness, founder burnout, M&A strategy, tech acquisitions

AI agents differ from chatbots by pursuing autonomous goals through the ReACT loop rather than responding to turn-based prompts. While coding agents are currently the most reliable due to verifiable feedback loops, the market is expanding into desktop and browser automation via tools like Claude co-work and open claw. Links Notes and resources at ocdevel.com/mlg/mla-28 Try a walking desk - stay healthy & sharp while you learn & code Generate a podcast - use my voice to listen to any AI generated content you want Fundamental Definitions Agent vs. Chatbot: Chatbots are turn-based and human-driven. Agents receive objectives and dynamically direct their own processes. The ReACT Loop: Every modern agent uses the cycle: Thought -> Action -> Observation. This interleaved reasoning and tool usage allows agents to update plans and handle exceptions. Performance: Models using agentic loops with self-correction outperform stronger zero-shot models. GPT-3.5 with an agent loop scored 95.1% on HumanEval, while zero-shot GPT-4 scored 67.0%. The Agentic Spectrum Chat: No tools or autonomy. Chat + Tools: Human-driven web search or code execution. Workflows: LLMs used in predefined code paths. The human designs the flow, the AI adds intelligence at specific nodes. Agents: LLMs dynamically choose their own path and tools based on observations. Tool Categories and Market Players Developer Frameworks: Use LangGraph for complex, stateful graphs or CrewAI for role-based multi-agent delegation. OpenAI Agents SDK provides minimalist primitives (Handoffs, Sessions), while the Claude Agent SDK focuses on local computer interaction. Workflow Automation: n8n and Zapier provide low-code interfaces. These are stable for repeatable business tasks but limited by fixed paths and a lack of persistent memory between runs. Coding Agents: Claude Code, Cursor, and GitHub Copilot are the most advanced agents. They succeed because code provides an unambiguous feedback loop (pass/fail) for the ReACT cycle. Desktop and Browser Agents: Claude Cowork( (released Jan 2026) operates in isolated VMs to produce documents. ChatGPT Atlas is a Chromium-based browser with integrated agent capabilities for web tasks. Autonomous Agents: open claw is an open-source, local system with broad permissions across messaging, file systems, and hardware. While powerful, it carries high security risks, including 512 identified vulnerabilities and potential data exfiltration. Infrastructure and Standards MCP (Model Context Protocol): A universal standard for connecting agents to tools. It has 10,000+ servers and is used by Anthropic, OpenAI, and Google. Future Outlook: By 2028, multi-agent coordination will be the default architecture. Gartner predicts 38% of organizations will utilize AI agents as formal team members, and the developer role will transition primarily to objective specification and output evaluation.