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2 episodes with google labs
3 episodes with google labs
2 episodes with google labs
2 episodes with google labs
3 episodes with google labs
2 episodes with google labs
2 episodes with google labs
2 episodes with google labs
2 episodes with google labs
Imaginez votre début de journée... C'est le matin, vous venez de vous réveiller et vous ouvrez votre téléphone. Une petite histoire illustrée vous résume ce qui vous attend. Votre colis vient d'être livrée : Google l'a repéré dans Gmail. Un ami arrive ce week-end : l'information figurait dans votre agenda. Bref, cette application s'appelle Dreambeans, littéralement « graines de rêve ». Elle est actuellement testée publiquement par Google Labs. Son principe est simple : transformer les données personnelles déjà présentes dans l'écosystème Google en mini-récits visuels, comme un journal intime automatisé de votre journée.Pour fabriquer ces histoires, Dreambeans relie les informations issues de plusieurs services : Gmail, Google Agenda, Photos, YouTube ou encore l'historique de navigation. En clair, Google ne collecte pas seulement de nouvelles données pour l'occasion ; il réorganise surtout celles qu'il possède déjà, puis les présente sous forme synthétique et illustrée grâce à l'intelligence artificielle. L'objectif affiché est de vous faire gagner du temps. Au lieu de chercher vous-même les informations utiles (une livraison, un rendez-vous, une sortie, une recommandation) l'application les rassemble dans un petit récit personnalisé. Les illustrations sont générées par IA et servent à donner une forme plus agréable, presque ludique, à ce résumé quotidien.Derrière Dreambeans, Google met en avant une technologie appelée « Personal Intelligence ». Il s'agit d'une IA conçue pour agir de manière proactive, c'est-à-dire anticiper ce qui peut vous être utile avant même que vous ne le demandiez. Évidemment, la question de la vie privée arrive immédiatement. Google précise que Dreambeans nécessite au moins la connexion d'une application Google, mais fonctionne mieux si plusieurs services sont autorisés. L'utilisateur peut choisir quelles applications alimentent ses récits, tandis que les autres sont censées rester séparées. Pour l'instant, Dreambeans n'est disponible qu'aux États-Unis. Il faut être majeur, posséder un abonnement Google AI Ultra, et utiliser l'application sur Android ou iOS. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.
In MobileViews 614, Jon Westfall and I were joined by frequent guest panelists Sven Johansson, and Don Sorcinelli discuss the highlights from Apple's recent Worldwide Developer Conference—or, as it we call it: the "Apple AI Conference". We also discussed the branding shift as my Google One 2TB plan was officially rebranded to Google AI Plus, signaling a broader industry trend toward AI-centric subscriptions. Don shared his experience with the Dreambeans experiment from Google Labs, which acts as a "really good sketch artist" by creating eerily accurate daily comic strips of your life based on calendar data and search history. This led to a deeper debate on the privacy vs. utility trade-off, contrasting Apple's "private cloud compute" architecture with Google's data-heavy personalization. The conversation turned to the shifting economics of AI, which I've dubbed the "drug dealer model". Companies are moving away from subsidized usage toward granular credit systems; for instance, Microsoft Copilot now consumes credits for simple tasks like opening large files or syncing handwriting. Despite these costs, "vibe coding" remains a game-changer. I shared how I used Google AI Studio to build a custom tool that summarizes the Techmeme River news feed and reads it back to me using an AI-synthesized voice, a task that took less time than brushing my teeth. Jon and I also lamented the current state of Siri, wishing it could handle multiple commands simultaneously rather than the current "one-step-at-a-time" limitation. We closed out with a look at the hardware horizon and a bit of tech nostalgia. While rumors swirl about AirPods with built-in cameras to help the user "see" the world, I was disappointed by the lack of any hints regarding a desktop Mac Neo. Our parenting discussion highlighted the iPad as the gold standard for managed digital access for toddlers, with Don choosing a strict "kiosk mode" approach to build good habits early. Finally, we reminisced about the original Microsoft Barney doll and the early days of Microsoft Flight Simulator (in context of the new Flight Simulator in Google Earth).
In MobileViews 6136, Jon Westfall and I tackled the increasingly complex world of AI ecosystems. I shared my early impressions of Google Labs' "Dream Beans," an interesting daily briefing tool that uses AI to generate an illustrated summary of topics it thinks you'll find interesting based on your activity. While the illustrations are very nice looking and the content relevant, the app is currently very phone-centric, lacking the landscape orientation optimization I'd expect for a tablet experience. I also noted that Google AI Pro remains a solid value for me at $20 a month. A major portion of the episode was dedicated to my "credit crunch" rant regarding Microsoft Copilot. I discovered that Microsoft's 365 family plan only provides 60 AI credits per month, and the "intentional use" policy is aggressive. According to Copilot itself, credits can be consumed simply by opening the app, syncing handwriting from an e-ink tablet to OneNote, or even having the AI suggest a grammar fix you don't actually use. This led me to explore Obsidian as a OneNote alternative, as it offers free handwriting plugins without the credit overhead. Jon suggested a sustainable path forward: using AI to build offline scripts or tools that perform data manipulation locally to avoid recurring token costs.We also looked at the hardware horizon, specifically Microsoft's announcement of Project Solera—AI-powered badges and desktop displays—and the new Nvidia RTX Spark PCs,. These machines are purpose-built for local AI, boasting a petaflop of performance to run personal agents offline. Finally, with Apple WWDC just around the corner, we shared our hopes for the long-promised "personal context" updates to Siri. Jon is also eagerly awaiting his pre-ordered Clicks communicator and keyboard, while I continue to hold out hope for a MacBook Neo with a backlit keyboard and a desktop Mac Neo. Whether it's navigating "vibe coding" loops or managing AI budgets, it's clear that the "magic math" of the AI industry is starting to meet the reality of the bean counters.
Steven Johnson dreamed of building the ultimate research assistant. Now he's doing just that at Google, where he's the co-founder and editorial director of NotebookLM.It's one of the most interesting AI products out there. It radically changes how we learn, research, and remember — and the "notebook" itself is becoming a standard unit of knowledge across Google, rolling out in more and more places where AI needs to reference a body of sources.In this episode, the author of _Where Good Ideas Come From_ explains how AI is making him a better researcher and writer — and why tools like NotebookLM are so powerful when you're trying to make new connections, remember what you've already found, and figure out what's missing.There's a lot of fear right now that AI is making us dumber. That by relying on it too much, we're engaging in "cognitive offloading" and stunting our learning. That's a real risk, especially in schools.But Steven says we should also be talking about what you can gain from AI — and the power of something he calls "cognitive uploading."Resources:* Google NotebookLM: https://notebooklm.google/* Steven Johnson: https://stevenberlinjohnson.com/Support Future Around & Find Out:* Follow Dan on LinkedIn https://www.linkedin.com/in/dblums/* Get the free newsletter: https://www.futurearound.com* Become a paid subscriber and help future proof FAFO! https://www.futurearound.com/upgrade(00:00) - If you are interested in truly understanding something, this is the greatest time to be alive (01:25) - Steven's controversial NYT piece and the cold call from Google Labs (02:55) - Who NotebookLM's power users are (04:40) - The notebook as a new format for knowledge (06:20) - Featured notebooks: earnings reports, Shakespeare, and Dungeons & Dragons (11:00) - Writing a book about the Gold Rush with NotebookLM (13:20) - Four weeks of research in 14 minutes (16:30) - Following serendipitous connections through the source material (17:50) - Cognitive offloading and the illusion of understanding (21:00) - How Steven actually writes with AI (24:30) - Paragraph by paragraph: a new kind of writing (26:55) - Do readers need to know AI helped write it? (28:55) - Where good ideas come from in the age of AI (31:56) - Searching the negative space (33:56) - The adjacent possible: custom software for everyone (37:01) - NotebookLM for nonprofits and small organizations (39:06) - Tens of thousands of quotes, 25 years of forgetting (40:56) - "It's cognitive uploading"
Google just stood on stage at I/O 2026 and named pet care by name. Starting this summer, Google's AI agent will call your business on a client's behalf to check availability and pricing — and the businesses it can't read won't make the list. This episode breaks down what changed, the 7.22-word stat that just broke traditional SEO, the six-rule blog structure AI actually cites, the four places your reviews need to live, and the four things every pet business owner needs to do this week before the rollout hits. Timestamps [0:00] — Welcome + the CC story from February (the strainer in action) [3:00] — Why AI literacy is the new business literacy [4:30] — Google I/O: the biggest change to Search in 25 years [6:00] — The 7.22-word stat that just broke traditional SEO [8:30] — AI Mode hits one billion users — what that means for your visibility [10:30] — The new game: ranking vs. being citable [13:30] — The first 100 words rule + the brochure problem [16:00] — The 6-rule blog structure AI will actually cite [20:00] — Why Google Analytics is lying to you (and where to look instead) [22:30] — The Google quote: pet care named by name [25:30] — What it looks like when Google's AI agent calls your business [27:30] — Daily Brief + Gemini Spark for pet business owners [30:30] — Four things you can do this week (with the 4-place reviews framework) [33:30] — Close + Keep jumping In This Episode You'll Discover Why Google named pet care — by name, on stage — at I/O 2026, and what's actually rolling out this summer The 7.22-word AI search stat (and what your clients are actually typing into Google now) The 6-rule blog structure that gets your pet business cited by ChatGPT, Perplexity, and Google AI Mode The 4 places your reviews need to live — and why having them only on Google looks suspicious to AI Why Google Analytics is hiding your AI traffic — and where the real fingerprints live Four things every pet business owner needs to do this week before the summer rollout About This Episode Bella Vasta — founder of Jump Consulting and host of Bella in Your Business — sits down to break down everything Google announced at I/O 2026, the biggest developer event of the year. Bella translates the keynote into pet-business plain English: what changed in Search, why the average AI Mode query is now 7.22 words instead of 4, the six-rule blog structure that AI engines actually cite, the four places your reviews need to live for AI to trust you, what it means that Google named pet care by name as one of the first categories its AI agent will call on behalf of clients, and exactly what business owners need to do this summer to stay in the conversation. She also closes the loop on a Google Labs experiment she flagged for The Jumpers community back in February — and now lives on the keynote stage. Resources Mentioned in This Episode Ep 428: ChatGPT Is Not Google Ep 433: 13 AI Pet Sitting Business Mindset Shifts Ep 421: Why AI Will Save Your Pet Business The AI Brain: The One File That Makes Every AI Sound Like You Google I/O 2026 keynote recap (Google blog) Book a website + AI visibility session with Bella Connect with Bella Website Sessions with Bella The Jumpers Mastermind Subscribe to Bella in Your Business Bella's Website Find Bella on Instagram + Facebook ? search Bella Vasta Frequently Asked Questions Q1: Is Google's AI really going to call my pet business? Yes. At Google I/O on May 19, 2026, Google announced that AI Mode will start performing tasks on behalf of users — including making reservations, booking appointments, and getting quotes. They named three industries to start: home services, beauty, and pet care. The agent will call businesses, check availability and pricing, and bring the results back to the searcher. Rollout begins in the United States this summer. Q2: What is the difference between SEO and AIO (AI Optimization)? SEO is about ranking — getting your page to the top of the blue-link results so a human clicks. AIO is about being citable — making sure an AI engine like ChatGPT, Perplexity, or Google AI Mode can read your website, understand what you do, and confidently recommend you when someone asks. Old SEO chased the click. AIO is about being in the answer itself. Both still matter, but AIO is now the gate. Q3: Why is my pet care business invisible on Google AI Mode? Most pet care websites read like a brochure — vague phrases like 'passionate care for your beloved pets' or 'tailored services for your pet's unique needs.' AI engines cannot cite that language because it does not answer a specific question. To show up in AI Mode, your pages need specific facts in the first 100 words: city, zip codes, services, prices, availability, and what kind of pets you specialize in. Specific. Real. Answerable. Q4: Why doesn't my Google Analytics show AI traffic? Google Analytics runs on JavaScript. The crawlers from ChatGPT, Perplexity, and Google AI Mode do not execute JavaScript, so they never trigger your Analytics tracking. That means even when AI bots visit your site every single day, your Analytics dashboard shows nothing. The only place AI bot visits show up is in your server logs. Ask your web host or developer for access to your raw server logs — that is where the AI fingerprints live. Q5: How long is the average AI Mode search now? According to Google's own one-year AI Mode data published in May 2026, the average AI Mode query is 7.22 words — almost double the average traditional Google search at 4 words. The top words used to begin an AI Mode search are What, How, I, Is, and Can. The top action words inside the search are find, information, identify, explain, and summarize. Pet care clients are no longer typing 'pet sitter Phoenix' — they are typing full conversational questions, which is why brochure-style websites built around three-word keywords are losing visibility fast. Q6: How do I structure a pet care blog so AI will cite it? Six rules. One — make your headline a question a real client would type. Two — answer that question in the first 100 words with a specific number, city, or service. Three — make every H2 heading a question too. Four — add an FAQ block with six to ten real Q&As and FAQ schema markup. Five — internally link to one other blog on your site and link back from it. Six — include an author bio with credentials, photo, years in business, and service area. That signals E-E-A-T (experience, expertise, authoritativeness, trust) — what AI engines look for when deciding what to cite. Q7: Where should I put my pet business reviews so AI can find them? Four places. Place one — your Google Business Profile (the floor). Place two — embedded on your website as real text (not screenshots), on a dedicated Reviews page AND on every service page, with schema markup. Place three — woven into your FAQ answers so reviews function as proof inside your actual responses. Place four — cross-platform on Yelp, Nextdoor, Facebook, and Bark, because AI engines look for citation consistency. A pet business with 300 reviews on Google and zero anywhere else looks suspicious to AI. The one with reviews distributed across four platforms looks like a real business. Q8: What are the four things every pet business owner needs to do this week? First, be your own client — open ChatGPT, Perplexity, and Google AI Mode and search 'best pet sitter in [your city].' See whether you appear. Second, read your homepage like an AI would and audit the first 100 words for specifics: city, services, prices, availability. Third, lock down your Google Business Profile — hours, phone number, services, service area, photos. Fourth, distribute your reviews across the four places listed above so AI sees you consistently cited as a real business. Full Episode Transcript You guys, on February 26th, I was inside my mastermind with the jumpers and I was talking about this tiny little what they call Google Labs, right? It's an experiment that they were doing. It's called CC. And CC was this email feature that it was so cool because every morning it would read your Gmail and your calendar and then hand you a prioritized summary of your day. What was urgent, what was next, all in one place with links to go to it. So now you're not having to read through your emails and your ? appointments and requests and things that had deadlines and not know it it just it was amazing. I was fired up and I told all my jumpers that like they all needed to be on it right now. And the response was also excitement, and other people signed up for it too. Some people had to get on the wait list because There was a wait list for it, but it was a really cool thing. And since February, I personally have been doing it. Now let's fast forward to May 19th, which you're gonna hear a lot about today. Google stood on a stage at their biggest developer conference of the year and announced it to the world. It was a new name. It was built into their Gemini app on the keynote stage in front of a billion people. And guys, this is exactly what I do. I take this stuff. That is out there, that is overwhelming, that is just like there's so much that you become paralyzed. And I put it through a strainer. I decide what is actually gonna be important to you, the small business owner. I distill it and I give it straight to you. That's exactly what I did. Okay. And I filter out the noise. I bring you the things that actually matter before they matter, before the headlines, before everyone else gets on top of it. That's what I've been doing since 2023, okay? And today's no different because AI literacy is the new business literacy. And if you're listening to this, you are one of the special people in the small business world that wants to learn and wants to know. You're not one of the ones that are sticking your head in the sand or paralyzed by fear. Do you have fear? Probably.
What does it mean to be at the “foothills of the singularity”? That’s how DeepMind CEO Demis Hassabis ended his speech at Google I/O, prompting questions and scratched heads. Oz and Reed Albergotti (Semafor) attempt to dissect the meaning behind Hassabis’s confounding statement. They also discuss why so many commencement speakers are getting booed by college graduates after bringing up AI, and what it means for SpaceX, Anthropic, and OpenAI to all be heading towards an IPO. Then, Oz sits down with David Webster, Head of UX at Google Labs, for a deeper look at the products Google unveiled at their annual developer conference of the year. Additional Reading: DeepMind founder Demis Hassabis on what Google AI products say about ‘singularity’ | Semafor A Guide to Commencement | Semafor SpaceX, Anthropic and OpenAI’s Sprint to Go Public Defines the AI Boom’s Big Day - WSJ Former Google CEO Eric Schmidt was booed | Strait Times IG Subscriber Q&A: Live @ Google I/O - by Alex Heath - Sources Download SAILY in your app store and use our code techstuff at checkout to get an exclusive 15% off your first purchase! For further details go to https://saily.com/techstuffSee omnystudio.com/listener for privacy information.
On this special episode of the Frontier CMO podcast, host Josh Spanier, VP of AI and Marketing Strategy at Google, sits down with two of the driving forces shaping the future of AI and creative: Robert Wong, head of Google's Creative Lab, and Josh Woodward, head of Google Labs, Gemini, & AI Studio. Together, they tell the story of how their teams of engineers and marketers came together to create Flow, a groundbreaking AI tool that is unlocking creativity and storytelling in marketing, Hollywood and beyond. Taped at Google Marketing Live, Google's biggest marketing event of the year, this conversation offers a rare look at how Google is reimagining creativity in the age of AI. 0:00 – AI's Creative Breakthrough Moment 2:05 – Mind-Blowing AI Projects & Experiences 4:15 – Building Gemini & What's “Almost Possible” 6:15 – Bringing Soul & Humanity Into AI 7:20 – Staying Ahead in the AI Era 10:05 – Lowering Fear to Unlock Creativity 12:05 – The Frustrations & Limits of AI 15:05 – Why AI Still Needs Human Creativity 16:00 – Building Flow for Creative Professionals 20:05 – The Future of Personalized AI Tools 22:00 – The Best Google AI Tools to Try Now 25:05 – Why Great Creative Still Matters 26:00 – The AI Creative Renaissance Ahead
Guia de Motéis sofre vazamento de dados e expõe usuários; empresa confirma ataque. Atualize agora! Samsung lança One UI 8.5 oficialmente; veja lista de celulares compatíveis. Quer aprender inglês rápido? Recurso secreto do Google usa IA para ensinar de graça sem depender de apps! Amazon vai acabar com a venda de livros físicos no Brasil? entenda polêmica que está dando o que falar! Crunch em GTA 6: Rockstar exige trabalho até de madrugada, segundo relatos. Governo aumenta classificação indicativa do YouTube para 16 anos e no The Brief, Andy Jassy CEO da Amazon diz que investidores serão recompensados por gastos com IA.
It's always fun catching up with Greg McDaniel because he's always up to something cool.Here's a summary of our session:Absolutely, Ray. Here's a detailed summary shortened to roughly 20% of the original wording.Podcast Interview Summary: Ray Wood with Greg McDanielRay welcomes longtime friend Greg McDaniel from Grass Valley, Northern California. After a relaxed opening chat about Greg's 10-acre property, mowing, weather, and life in Northern California, the conversation turns to what is currently working for real estate agents in social media marketing and advertising.Greg says agents have never had more opportunity to create their own media. They no longer need a full studio setup; a smartphone, simple microphone, and free or low-cost editing tools like CapCut are enough to produce useful content. He emphasizes that agents can now use AI tools such as ChatGPT and prompt libraries like AIPRM to generate video ideas, captions, YouTube titles, descriptions, tags, and content frameworks quickly.A major theme is that agents often feel overwhelmed by all the marketing options available, but Greg argues the answer is simpler than most people think: stay visible, stay relevant, and keep having conversations with your audience. He uses his and Ray's friendship as an example. Even though they have known each other for around 10 years and never met in person, they have stayed connected through podcasts, conversations, and regular contact. That same principle applies to agents and their audience.Greg recommends agents post short-form content daily on Instagram, Facebook, YouTube Shorts, and other platforms. He says agents should pay attention to who watches, likes, comments, or reacts to their content, then personally reach out and start conversations. Rather than treating social media as a broadcasting platform only, agents should use it as a relationship-building tool.When Ray asks what type of content works best, Greg suggests documenting daily life. He compares each part of the day to a chapter in a book: morning routines, coffee stops, drives, meetings, funny moments, local observations, family life, pets, community stories, and real estate insights. His advice is to make content that is interesting, personal, and relatable, not just constant real estate sales messages.Greg recommends following an 80/20 rule: around 80% of content should be fun, interesting, community-based, or personality-driven, while 20% can be more directly related to business. He notes that kids and pets can attract engagement, though agents should only include family if they are comfortable doing so. Ray jokes that featuring his dogs in marketing videos could make their expenses feel like marketing costs, leading to a humorous side discussion about dogs, grooming, cleaning, and checking with a CPA.The conversation then moves into YouTube. Greg believes YouTube is a powerful free platform because once content is created, it can continue working long term. However, he says fewer than 1% of agents will actually take action. Ray asks why, and Greg bluntly says laziness is often the main barrier. He explains that many agents know what they need to do, but avoid it because they feel they have nothing to say or do not want to be on camera.Greg shares an example of a successful Silicon Valley agent who has deep local knowledge, a long real estate career, children who grew up in the area, a wife who teaches locally, and strong opinions about coffee — yet still feels he has nothing to say. Greg points out that this agent could easily create local coffee tours, community videos, tech-area commentary, and neighborhood stories. The lesson is that agents already have content all around them; they simply need to start filming.Ray and Greg discuss simple equipment, including the Hollyland Lark M2 microphone, which Ray recently bought and found impressive. Greg shares a practical tip: clip the tiny microphone under the brim of a cap for clear audio while filming casual videos.The discussion then shifts to YouTube trends. Greg mentions that large channels like MrBeast are seeing major changes in views as YouTube places more emphasis on Shorts and shorter content. He believes this creates an opportunity for smaller creators and independent agents to gain more visibility. Greg also mentions using tools like VidIQ and Thumbnail Creator to improve YouTube thumbnails, titles, SEO, descriptions, and tags.Greg demonstrates AIPRM inside ChatGPT, showing Ray how pre-built prompts can generate optimized YouTube titles, descriptions, tags, and hashtags. He enters a sample real estate topic and the tool produces multiple title options, a short description, and keyword tags that could be copied into YouTube Studio. Ray is impressed by how much time this could save.Ray then shares what he is seeing with AI Ad Machine clients: property listing ads are generating some of the strongest results. Rather than simply offering free appraisals or asking for listings, agents can advertise actual properties, send traffic to a Meta lead form or landing page, and capture buyer and seller leads. These leads can then flow into Go High Level for automated text and email follow-up. Ray argues that a great listing has enormous pulling power because it shows the agent actively marketing real estate, not begging for business.Greg agrees and adds that ads and content need to match the local audience. A generic message will not work equally well in Miami, San Francisco, Salt Lake City, Grass Valley, or a beach town. Agents should speak the language of their community. For example, in Grass Valley, a real estate agent could create a video using a zero-turn mower or tractor dealership as a metaphor for teamwork and market knowledge. In a beach town, an agent should be on the beach talking about local lifestyle, restaurants, and community news.The core marketing message from Greg is that agents should stop begging for business and instead become a trusted source of information. They should talk about their industry, community, local market, lifestyle, and daily experiences in a way that feels human and useful.Ray adds that testing is now easier than ever. In the old newspaper days, agents ran one ad and hoped it worked. Today, they can run many variations and quickly identify what gets attention, clicks, and leads. This ties directly into Ray's broader AI Ad Machine philosophy: test multiple ad angles and let the data show what works.Toward the end, Greg introduces Google Flow from Google Labs, describing how it can create AI-generated images from photos and prompts. He gives a playful example of generating an image of family members riding horses, grandchildren running around, and himself on a lawnmower being chased by a kangaroo. More practically, he suggests agents could use AI image tools to help buyers visualize themselves in a property, such as creating an image of a family enjoying a kitchen or living space, while cautioning agents to check rules and avoid anything misleading or discriminatory.Greg also promotes his own podcast, RE Geeks, which focuses on real estate, technology, and how tech influences agents and consumers. He explains that his longtime tech partner Michael is involved, and they discuss practical ways agents can use technology in their business.The episode closes with Ray thanking Greg and promising to include links in the show notes to the tools discussed, including AIPRM, the Hollyland Lark M2 microphone, Google Flow, VidIQ, Thumbnail Creator, and RE Geeks.Key TakeawaysThe strongest message from the interview is that real estate agents do not need complicated marketing. They need consistency, personality, community relevance, and a willingness to create. A smartphone, simple microphone, AI tools, and daily local observations are enough to start building attention.Agents should use short-form video, YouTube, stories, reels, and listing ads to stay visible and start conversations. The best content is not always polished or formal; it is often personal, local, useful, and human.Ray's major ad insight is that great property listings are still one of the strongest lead-generation assets agents have. When promoted properly through social ads, lead forms, landing pages, and CRM follow-up, listings can become powerful buyer and seller lead machines.Greg's major content insight is that agents already have more than enough to say. Their local knowledge, daily routines, clients, pets, coffee shops, neighborhoods, listings, and lifestyle stories can all become content. The agents who win are the ones who stop overthinking and start publishing.
Google just acquired an AI startup that lets anyone create real music, music videos, and custom instruments — no experience required. In this hands-on episode, Corey sits down with Kendall Rankin from Google to demo Flow Music (formerly Producer AI), the generative music tool now living inside Google Labs. They build a garage rock song about AI from scratch, generate a music video with VEO, and dig into what "amplifying human creativity" actually looks like when the tool can do most of the lifting. Listeners walk away with a clear view of where AI music tools fit in an artist's workflow, why watermarking (SynthID) matters, and how to try it for free.Try Flow Music: https://producer.ai Google Labs: https://labs.google SynthID (watermarking): https://deepmind.google/technologies/synthid/ Subscribe to The Neuron newsletter: https://theneuron.ai
The Stanford AI Index's headline is 88% — organizations using AI in some capacity. The Financial Times charted where it actually lands in the workforce: 62% of top-decile earners use it daily, versus 13% at the bottom. Board decks this quarter will cite Stanford. The FT chart is what they're not showing.The economics that enabled this gap are under pressure. The three-year subsidized era is ending by financial necessity, not choice. The same optimization logic that built social media's loneliness machine is now embedded in AI products at scale. And in the same week Anthropic's most capable model autonomously found 271 zero-days in Firefox, two major platforms were breached through third-party integrations. The data and what to do about it follows.Episode 8: The Most Important Data Points in AI Right NowBrittany Hobbs solo — four segments moving from data to strategic implication. Essential for anyone making AI purchasing, hiring, or architecture decisions right now.The Stanford AI Index 2026. 88% organizational adoption is saturation, not a trend. $581 billion invested globally in 2025, up 129% year over year. The US-China AI performance gap collapsed from 17–31 percentage points in 2023 to 2.7% today — on 23 times less investment. China holds 69.7% of global AI patent filings. Architecture and application discipline closed a gap that capital alone could not. Stanford AI Index 2026 | The U.S. Can't Buy an AI LeadToken economics. Anthropic's current tiers: Haiku at $1/$5 per million input/output tokens, Sonnet at $3/$15, Opus at $5/$25. A 200-screen product built with Claude Design costs $0.22 for a first draft; the 50-iteration refinement cycle real design work requires runs to ~$2,600, plus $200–$900/month in system updates. Every comparable Figma interaction costs zero. Prompt caching provides ~90% discounts on repeated context; batch processing cuts 50%. Claude Design vs Figma cost breakdown | CNBC: Token economicsApple chose its hardware chief as next CEO. John Ternus — SVP of Hardware Engineering, architect of Apple Silicon — succeeds Tim Cook on September 1st. Johny Srouji, who designed every Apple Silicon chip, becomes Chief Hardware Officer. Apple posted $143.8 billion in Q1 FY2026 (up 16%, $109 billion in services, 92% retention) without shipping an industry-leading AI feature. The next decade of AI is decided at the silicon and device level. Apple CEO transition analysisVibe coding has never been more capable. Security has never been more exposed. Anthropic's Mythos model identified 271 zero-day vulnerabilities in Firefox autonomously; the UK's AI Security Institute found it succeeds at expert-level hacking tasks 73% of the time. Anthropic launched Project Glasswing (12 defensive security partners including Amazon, Microsoft, and Apple), then reported unauthorized Mythos access through a vendor. Vercel was breached through Context AI — customer credentials sold on BreachForums for $2 million. Lovable exposed source code and credentials via a basic authorization flaw for 48 days, fixed it, then broke it again for 76 more. TechCrunch: Anthropic Mythos | TechCrunch: Vercel breach | The Next Web: Lovable“If you're making AI decisions for your team right now — what to buy, who to hire, what to build — there are numbers out this week that should change your approach.” — Brittany HobbsListen now: Spotify | Apple Podcasts | YouTube
Carolyn Woodard opens with highlights from Good Tech Summit, a three-day Washington D.C. conference bringing together practitioners, funders, and tech leaders focused on responsible AI use in the social sector. She shares standout quotes on AI governance, accountability, and what the sector needs to do differently. This episode also covers the Claude Cowork tool nonprofits should know about, a privacy change in a new Google Labs tool that affects your data, and the Claude Mythos Preview non-release that has bank executives and governments in emergency meetings.This episode covers:Key takeaways from Good Tech Summit, including "We need to stop random acts of AI" and why your AI policy should be grounded in values — not updated every time a new tool drops.How Claude Cowork compares to Google Workspace Studio and Microsoft Copilot Cowork — and whether nonprofits are better served by AI built into their existing tech stack or a mission-aligned third-party tool.What Google Opal is, why you may have seen a notice that it sits outside Workspace's enterprise privacy protections, and what nonprofit staff should know about using it.Why Anthropic built its most powerful AI model ever and then refused to release it publicly and what that points out about our current power imbalance between tech companies and consumers."Technology is not a net good or net bad. We don't know yet whether AI will be a net benefit or net harm — but we need to be engaged, literate, and demanding."Why building AI fluency together as a sector matters; sending staff off to figure it out alone keeps us isolated. Resources Mentioned:Good Tech Summit — watch for next year's annual event at goodtechtogether.orgClaude for Nonprofits — AnthropicClaude Cowork Overview — AnthropicGoogle Opal (Google Labs experiment)Claude Mythos Preview — AnthropicClaude Mythos Preview — ForbesClaude Mythos Preview — WIRED2026 Nonprofit Cybersecurity Incident Report Webinar _______________________________Start a conversation :)Register to attend a webinar in real time, and find all past transcripts at https://communityit.com/webinars/email Carolyn at cwoodard@communityit.comon LinkedIn on reddit/r/nonprofitITmanagementon the Community IT websiteThanks for listening.
Stop paying for AI! In this video, I show you how to use Nano Banana Pro for free using Flow on Google Labs. As a former senior web developer, I'm breaking down my high-efficiency workflow using Merch Dominator to find winners and Nano Banana Pro to create professional-grade print on demand graphics for zero cost.
Stop paying for AI! In this video, I show you how to use Nano Banana Pro for free using Flow on Google Labs. As a former senior web developer, I'm breaking down my high-efficiency workflow using Merch Dominator to find winners and Nano Banana Pro to create professional-grade print on demand graphics for zero cost.
Edtech ThrowdownEpisode 209: 10 Fun AI Tools to Try in 2026Welcome to the EdTech Throwdown. This is episode 209 called “10 Fun AI Tools to Try in 2026” In this episode, we'll explore the lighthearted side of AI as we examine some silly AI tools and uses that are guaranteed to make you and your students smile. This is another episode you don't want to miss. Check it out.Segment 1: It's just that time of the year.Segment 2: Clipdrop.coGemini's new “Create Music” option under Tools. Choose a track and then the AI populates lyrics into that track. Right now there are maybe 20-ish tracks in diff music stylespodsmartai.com Google Arts and Culture - Art Selfie. Download the app. Be careful with students under 18. Use this fun activity as a starting point for analysis and discussion of classic works.Goblin Toolshttps://goblin.tools/Quick, Draw. Prompt Librarieshttps://promptbase.com/https://gail.wharton.upenn.edu/prompt-library/https://www.thepromptindex.com/Google Labs. The home for AI experiments at Google. This deserves more exploration on our part, but there is a ton here so I'm sharing it as a thing of it's own. For example,GenTypeis one of the experiments that can create fonts. The example they feature is a font using jelly on toast, where each letter of the alphabet is jelly being spread on pieces of toast.https://boredhumans.com/Talking Tours. An AI audio experiment touring cultural landmarks in Street View on Google Arts & Culture.Edtech Throwdown: Vote on twitter @edtechthrowdown and under the pinned post on the profile.Segment 3: Where to Find EdTech ThrowdownDo us a few favors:Subscribe to the Edtech Throwdown PodcastApple PodcastsSpotifyAmazon PodcastsStitcher YouTube Twitter FacebookWrite us an Apple Podcast Review!Tell your friends aboutwww.edtechthrowdown.comTell your friends about the Teach Better Podcast NetworkSubscribe to our Podcast Channels and SocialsApple PodcastsSpotify YouTube Twitter (@edtechthrowdown)FacebookInstagramConnect with us on Social MediaGuise's Social MediaTwitter(@guisegotteched)LinkedInNick's Social MediaTwitter(@nickgotteched)Music Credits:Intro and Outro Music-American Idle - RKVCSegment Identifiers-Duck in the Alley - TrackTribeEdtech Throwdown-Born a Rockstar (Instrumental) - NEFEXNeed a Presenter?As experienced presenters and content creators, you can contact Nick and Guise to speak at your school, event, or conference. They can customize a workshop that meets your organization's unique time and content needs. While no topic is out of bounds, we are best known for sessions on:AI For Teachers, Admin, and Parents1:1 Chromebook IntegrationEdTech ThrowdownTargetED...
In this special episode, we go hands-on with three cutting-edge AI tools from Google Labs. First, Jaclyn Konzelman (Director of Product Management) demos Mixboard, an AI-powered concepting board that transforms ideas into visual presentations using Nano Banana Pro. Then, Thomas Iljic (Senior Director of Product Management) shows us Flow, Google's AI filmmaking tool that lets you create, edit, and animate video clips with unprecedented control. Finally, Megan Li (Senior Product Manager) walks us through Opal, a no-code AI app builder that lets anyone create custom AI workflows and mini-apps using natural language.Subscribe to The Neuron newsletter: https://theneuron.aiLinks:Mixboard: https://mixboard.google.com Flow: https://flow.google Opal: https://opal.google Google Labs: https://labs.google
C'est un mal bien connu de tous les internautes : cette accumulation incontrôlable d'onglets ouverts, dès lors que l'on cherche des informations sur plusieurs sites à la fois. On s'y perd rapidement, et la mémoire vive de l'ordinateur fond comme neige au soleil. Pour répondre à ce problème devenu presque structurel, Google dévoile une expérimentation ambitieuse : un nouveau navigateur dopé à l'intelligence artificielle Gemini, baptisé Disco.Sa première fonctionnalité expérimentale s'appelle GenTabs. Le principe est radical : confier à l'IA la gestion du contenu de vos onglets. Plutôt que de jongler entre dix pages ouvertes, Gemini analyse l'ensemble des informations affichées et les transforme en une application web interactive, générée à la demande. Une approche qui rappelle le « vibe coding », cette manière de créer des outils à partir d'une simple intention exprimée en langage naturel.Dans les démonstrations publiées par Google, l'interface se divise en deux parties. À gauche, un chatbot Gemini classique. À droite, la fenêtre de navigation. Exemple proposé : l'organisation d'un voyage. L'utilisateur discute avec Gemini, consulte des pages d'activités locales, puis l'IA suggère de créer un outil interactif. En quelques secondes, une carte s'affiche, regroupant toutes les informations collectées, avec filtres par dates, options météo et planification d'itinéraire. Aucun code à écrire, aucune configuration technique à comprendre. Tout est généré automatiquement. Google imagine déjà d'autres usages : des outils pour visualiser des concepts scientifiques, comparer des meubles dans une pièce, créer de petits jeux, planifier ses repas ou organiser un potager. Le navigateur devient ainsi moins un lecteur de pages qu'un atelier de synthèse et d'interaction, piloté par l'IA.Pour l'instant, Disco reste une expérimentation issue de Google Labs. Basé sur Chromium, il n'est pas destiné à un usage quotidien et nécessite une inscription sur liste d'attente. Mais derrière la prouesse technique se pose une question de fond : quel avenir pour les sites web eux-mêmes ? Cette interrogation avait déjà émergé avec les résumés générés par IA dans le moteur de recherche. Si les contenus sont analysés, synthétisés et consommés par des machines plutôt que par des humains, que devient le modèle économique du web ? La publicité, aussi agaçante soit-elle, finance encore une grande partie des sites. Sans lecteurs humains, plus de clics, plus de revenus. En cherchant à résoudre le chaos des onglets, Google esquisse peut-être un futur plus fluide pour les utilisateurs… mais potentiellement bien plus fragile pour l'écosystème du web tel que nous le connaissons aujourd'hui. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.
Generative UI is quietly changing how digital products work — and Google Labs' experimental browser Disco is a perfect example of that shift.Not what buttons look like.But how interfaces are created in the first place.In this episode of Future of UX, I explore what happens when interfaces are no longer fixed screens, but generated on the fly based on user intent, context, and goals.Using Disco and its GenTabs feature as a lens, we talk about:why browsing is shifting from search-first to goal-firsthow UI becomes a temporary, situational response rather than a static artifactand why trust, transparency, and responsibility become core UX challenges in generative systemsThis is not a tool review or a hype episode.It's a UX-first perspective on what Generative UI signals for designers, product teams, and anyone shaping digital experiences.If you work in UX, product, or design strategy, this episode will help you understand what's actually changing and why it matters.Become part of the conversation:Please share your thoughts here: Users casually creating their own apps now? AI for Designers: 5-week Bootcamp
Das ist das KI-Update vom 15.12.2025 unter anderem mit diesen Themen: Googles „Disco“ macht aus Browser-Tabs interaktive Web-Apps US-Regierung will KI-Regulierung durch Bundesstaaten verhindern OpenAIs Altman und Deepminds Legg erwarten AGI noch in diesem Jahrzehnt und Sorgen wegen steigender Nutzung von KI in der Psychotherapie === Anzeige / Sponsorenhinweis === Dieser Podcast wird von einem Sponsor unterstützt. Alle Infos zu unseren Werbepartnern findet ihr hier. https://wonderl.ink/%40heise-podcasts === Anzeige / Sponsorenhinweis Ende === Links zu allen Themen der heutigen Folge findet Ihr im Begleitartikel auf heise online: https://heise.de/-11115272 Weitere Links zu diesem Podast: https://www.heise.de/thema/KI-Update https://pro.heise.de/ki/ https://www.heise.de/newsletter/anmeldung.html?id=ki-update https://www.heise.de/thema/Kuenstliche-Intelligenz https://the-decoder.de/ https://www.heiseplus.de/podcast https://www.ct.de/ki Eine neue Folge gibt es montags, mittwochs und freitags ab 15 Uhr.
Send us a textThis special on-site episode of Edtech Insiders was recorded live at the Google AI for Learning Forum in London on November 14, 2024, where we sat down with leaders shaping Google's next generation of learning tools, including Shantanu Sinha, VP of Google for Education, Tal Oppenheimer, Product Management Director, Google Labs & Learning, Julia Wilkowski, Pedagogy & Learning Sciences Team Lead, Google, and Maureen Heymans, VP & GM, Learning, Google. Together, they share how Google is designing AI-powered tools grounded in learning science and built to scale across classrooms worldwide.
This week in AI, the bubble keeps inflating despite fresh warnings, Google stages an AI comeback, and Chinese AI threatens Nvidia. Though fears around irrational AI spending used to be confined to skeptics, now even industry insiders like Google's Sundar Pichai and Demis Hassabis are voicing doubts. CNBC's Deirdre Bosa speaks to Josh Woodward, Alphabet's VP of Google Labs, Dan Niles, founder of Niles Investment Management, and founder of GPU management company Hydra Host Aaron Ginn for more. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Google Labs está lleno de herramientas de IA gratuitas que podés usar ya mismo para crear mejor contenido, generar ideas y automatizar tareas sin ser técnico. En este episodio vas a descubrir 4 experimentos de Google que pueden ayudarte a trabajar más rápido, modernizar tu negocio y empezar a amigarte de verdad con la inteligencia artificial.
Google Labs está lleno de herramientas de IA gratuitas que podés usar ya mismo para crear mejor contenido, generar ideas y automatizar tareas sin ser técnico. En este episodio vas a descubrir 4 experimentos de Google que pueden ayudarte a trabajar más rápido, modernizar tu negocio y empezar a amigarte de verdad con la inteligencia artificial.
Google's much anticipated new large language model Gemini 3 begins rolling out today. We'll tell you what we learned from an early product briefing and bring you our conversation with Google executives Demis Hassabis and Josh Woodward, just ahead of the launch. Guests:Demis Hassabis, chief executive and co-founder of Google DeepMindJosh Woodward, vice president of Google Labs and Google Gemini Additional Reading: The Man Who ‘A.G.I.-Pilled' Google We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app.
The relentless shifts towards AI powered everything being everywhere in the digital environment are accelerating and the evolution of digital marketing services is starting to keep pace. Previsible, which recently bought the legendary agency Internet Marketing Ninjas, announced the acquisition of Googlite founded data-driven search agency Improove. Google introduces Opal, an AI tool that it claims can create scalable content and apps for search campaigns as a Google Labs project. This contradicts virtually everything Google's previously said about using AI generated content at scale so it might be Google moving into the search marketing space on purpose or it could be one part of the Googleverse running ahead of another without first making sure their narratives aligned with each other. Meanwhile, we've learned how much it will cost for Gemini to white label itself to Apple's Siri, $1Billion per year. Apple will pay Google a cool $1B to have Gemini act in the background with Siri's familiar tone in the foreground. This while Google is accused in a civil suit of using Gemini to track private communications of users in email, messaging apps and video-conferencing sessions. The case, Thele v. Google LLC, 25-cv-09704, is being heard in a district court in San Jose. Google is also defending its algorithmic actions targeting parasitic SEO programs after the EU announced an investigation into a complaint that Google intentionally demoted several news sites in search results. It may be a case of abuse of a parasitic complaints process. Yann LeCun, chief AI scientist at Meta is openly talking about quitting and founding his own startup. LeCun has said he no longer believes in the long term viability of LLMs. Canadian Bitcoin mining giant Bitfarms is winding down its energy on grinding out bitcoins to focusing on becoming an AI data center powerhouse. This, and so much more on a long and sort of flu-ridden episode of Webcology. BTW, PSA --> Sickness sucks. Get your flu shot ASAP.Support this podcast at — https://redcircle.com/webcology/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy
In today's episode, we'll explore Learn Your Way, an AI powered learning project from Google Labs. Visit AVID Open Access to learn more.
Jed Borovik, Product Lead at Google Labs, joins Latent Space to unpack how Google is building the future of AI-powered software development with Jules. From his journey discovering GenAI through Stable Diffusion to leading one of the most ambitious coding agent projects in tech, Borovik shares behind-the-scenes insights into how Google Labs operates at the intersection of DeepMind's model development and product innovation. We explore Jules' approach to autonomous coding agents and why they run on their own infrastructure, how Google simplified their agent scaffolding as models improved, and why embeddings-based RAG is giving way to attention-based search. Borovik reveals how developers are using Jules for hours or even days at a time, the challenges of managing context windows that push 2 million tokens, and why coding agents represent both the most important AI application and the clearest path to AGI. This conversation reveals Google's positioning in the coding agent race, the evolution from internal tools to public products, and what founders, developers, and AI engineers should understand about building for a future where AI becomes the new brush for software engineering. Chapters 00:00:00 Introduction and GitHub Universe Recap 00:00:57 New York Tech Scene and East Coast Hackathons 00:02:19 From Google Search to AI Coding: Jed's Journey 00:04:19 Google Labs Mission and DeepMind Collaboration 00:06:41 Jules: Autonomous Coding Agents Explained 00:09:39 The Evolution of Agent Scaffolding and Model Quality 00:11:30 RAG vs Attention: The Shift in Code Understanding 00:13:49 Jules' Journey from Preview to Production 00:15:05 AI Engineer Summit: Community Building and Networking 00:25:06 Context Management in Long-Running Agents 00:29:02 The Future of Software Engineering with AI 00:36:26 Beyond Vibe Coding: Spec Development and Verification 00:40:20 Multimodal Input and Computer Use for Coding Agents
Jed Borovik, Product Lead at Google Labs, joins Latent Space to unpack how Google is building the future of AI-powered software development with Jules. From his journey discovering GenAI through Stable Diffusion to leading one of the most ambitious coding agent projects in tech, Borovik shares behind-the-scenes insights into how Google Labs operates at the intersection of DeepMind's model development and product innovation.We explore Jules' approach to autonomous coding agents and why they run on their own infrastructure, how Google simplified their agent scaffolding as models improved, and why embeddings-based RAG is giving way to attention-based search. Borovik reveals how developers are using Jules for hours or even days at a time, the challenges of managing context windows that push 2 million tokens, and why coding agents represent both the most important AI application and the clearest path to AGI.This conversation reveals Google's positioning in the coding agent race, the evolution from internal tools to public products, and what founders, developers, and AI engineers should understand about building for a future where AI becomes the new brush for software engineering.Full Video EpisodeTimestamps00:00:00 Introduction and GitHub Universe Recap00:00:57 New York Tech Scene and East Coast Hackathons00:02:19 From Google Search to AI Coding: Jed's Journey00:04:19 Google Labs Mission and DeepMind Collaboration00:06:41 Jules: Autonomous Coding Agents Explained00:09:39 The Evolution of Agent Scaffolding and Model Quality00:11:30 RAG vs Attention: The Shift in Code Understanding00:13:49 Jules' Journey from Preview to Production00:15:05 AI Engineer Summit: Community Building and Networking00:25:06 Context Management in Long-Running Agents00:29:02 The Future of Software Engineering with AI00:36:26 Beyond Vibe Coding: Spec Development and Verification00:40:20 Multimodal Input and Computer Use for Coding Agents Get full access to Latent.Space at www.latent.space/subscribe
Mardi 4 novembre, François Sorel a reçu Marion Moreau, journaliste et fondatrice d'Hors Normes Média. Alain Goudey, directeur général adjoint de Neoma Business School, ainsi que Cédric Ingrand, directeur général de Heavyweight Studio et ancien journaliste à TF1 et LCI. Ils se sont penchés sur la nouvelle mission commerciale d'Ariane 6 avec le satellite Sentinel-1D, la première autorisation mondiale de conduite mains libres à 130 km/h pour BMW, Coca-Cola qui dévoile sa campagne de Noël, 100% IA, ainsi que Google Labs qui démocratise la pub IA avec Pomelli, dans l'émission Tech & Co, la quotidienne, sur BFM Business. Retrouvez l'émission du lundi au jeudi et réécoutez la en podcast.
The tools we use shape how we work, what we see, and how we think. Dmitri Glazkov, Strategy Lead at Google Labs, initiated Breadboard and helped launch Opal—tools that let people connect prompts into systems that think together like Tinkertoys for the mind. His passion is building technology that makes creativity easier and more human. In this episode, Dart and Dmitri explore how AI can capture tacit knowledge, why strategy gets embedded in culture, and how to design “tiny brains” that think with us, not for us.Dmitri Glazkov is Strategy Lead at Google Labs and the initiator of Breadboard, the open-source foundation for Google's Opal project. He is a longtime Google engineer and an early contributor to Chrome and Web Components.In this episode, Dart and Dmitri discuss:- How AI tools reshape the experience of work- Why Breadboard and Opal make creativity easier- How AI can help capture and share tacit knowledge- The difference between dandelion and elephant growth strategies- How strategy becomes embodied in company culture- What “lensical thinking” means and how to use it- Why Dmitri calls Opal a cognitive WYSIWYG- How chains of prompts can act as “tiny brains”- And other topics…Dmitri Glazkov is the Strategy Lead at Google Labs and the initiator of Breadboard, the open-source project that underpins Google's Opal tool for creative AI experimentation. Over nearly two decades at Google, Dmitri has shaped how people interact with technology—from helping build Chrome and pioneering Web Components to exploring how artificial intelligence can amplify human thought. His work focuses on designing systems that think with us, not for us, making creativity more accessible to everyone. Resources Mentioned:Opal: https://opal.withgoogle.comDmitri's Blog: https://glazkov.comDart and Dmitri's article, “The Unvarying Infrastructure of Variation”: https://read.fluxcollective.org/p/69Connect with Dmitri:LinkedIn: https://www.linkedin.com/in/dglazkov Work with Dart:Dart is the CEO and co-founder of the work design firm 11fold. Build work that makes employees feel alive, connected to their work, and focused on what's most important to the business. Book a call at 11fold.com.
Most people spend over 30 hours a year dealing with customer service—on hold, repeating account numbers, and navigating endless phone trees. But what if AI could fix that without losing the human touch?Clay Bavor, co-founder of Sierra (now valued at $10B) and former VP at Google, joins us to explore how AI agents are reshaping how companies interact with customers and what that means for the most complex service industry in the world: healthcare.We cover:
Freeplay AI emerged from a precise timing insight: former Twitter API platform veterans Ian Cairns and Eric Schade recognized that generative AI created the same platform opportunity they'd previously captured with half a million monthly active developers. Their company now provides the observability, evaluation, and experimentation infrastructure that lets cross-functional teams—including non-technical domain experts—collaborate on AI systems that need to perform consistently in production. Topics Discussed: Systematic customer discovery: 75 interviews in 90 days using jobs-to-be-done methodology to surface latent AI development pain points Cross-functional AI development: How domain experts (lawyers, veterinarians, doctors) became essential collaborators when "English became the hottest programming language" Production AI reliability challenges: Moving beyond 60% prototype success rates to consistent production performance Enterprise selling to technical buyers: Why ABM and content worked where ads and outbound failed for VPs of engineering Category creation without precedent: Building thought leadership through triangulated insights across hundreds of implementations Offline community building: Growing 3,000-person Colorado AI meetup with authentic "give first" approach GTM Lessons For B2B Founders: Structure customer discovery with jobs-to-be-done rigor: Ian executed a systematic 75-interview program in 90 days, moving beyond surface-level feature requests to understand fundamental motivations. Using Clay Christensen's framework, they discovered engineers weren't just frustrated with 60% AI prototype reliability—they were under career pressure to deliver AI wins while lacking tools to bridge the gap to production consistency. This deeper insight shaped Freeplay's positioning around professional success metrics rather than just technical capabilities. Exploit diaspora networks from platform companies: Twitter's developer ecosystem became Ian's customer research goldmine. Platform company alumni have uniquely valuable networks because they previously interfaced with hundreds of technical teams. Rather than cold outreach, Ian leveraged existing relationships and warm introductions to reach heads of engineering who were actively experimenting with AI. This approach yielded higher-quality conversations and faster pattern recognition across use cases. Target sophistication gaps in technical buying committees: Traditional SaaS tactics failed because Freeplay's buyers—VPs of engineering at companies building production AI—weren't responsive to ads or generic outbound. Instead, Ian invested in deep technical content (1500-2000 word blog posts), speaking engagements, and their "Deployed" podcast featuring practitioners from Google Labs and Box. This approach built credibility with sophisticated technical audiences who needed education about emerging best practices, not product demos. Build authority through cross-portfolio insights: Rather than positioning as AI experts, Ian built trust by triangulating learnings across "hundreds of different companies" and sharing pattern recognition. Their messaging became "don't just take Freeplay's word for it—here's what we've seen work across environments." This approach resonated because no single company had enough AI production experience to claim definitive expertise. Aggregated insights became more valuable than individual case studies. Time market entry for the infrastructure adoption curve: Ian deliberately positioned Freeplay for companies "3, 6, 12 months after being in production" rather than competing for initial AI experiments. They recognized organizations don't invest in formal evaluation infrastructure until they've proven AI matters to their business. This patient approach let them capture demand at the moment companies realized they needed serious operational discipline around AI systems. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM
Google is bringing Gemini into Windows territory, taking on Microsoft Copilot right from your desktop. Is the world's most popular browser about to change how you work with AI on Windows? Host: Paul Thurrott Download or subscribe to Hands-On Windows at https://twit.tv/shows/hands-on-windows Want access to the ad-free video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.
Google is bringing Gemini into Windows territory, taking on Microsoft Copilot right from your desktop. Is the world's most popular browser about to change how you work with AI on Windows? Host: Paul Thurrott Download or subscribe to Hands-On Windows at https://twit.tv/shows/hands-on-windows Want access to the ad-free video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.
Ask a question on our Youtube Channel: https://www.youtube.com/@GenerativeAIMeetup Mark's Travel Vlog: https://www.youtube.com/@kumajourney11 Mark's Personal Youtube Channel: https://www.youtube.com/@markkuczmarski896 Attend a live event: https://genaimeetup.com/ Shashank Linked In: https://www.linkedin.com/in/shashu10/ Mark Linked in: https://www.linkedin.com/in/markkuczmarski/ In this episode of the Generative AI Meetup Podcast, hosts Shashank (a software engineer at Google Labs working on the AI vibe design tool Stitch) and Mark (a former Amazon engineer now building a stealth startup) dive into the world of "vibe coding"—a revolutionary approach to programming inspired by AI researcher Andrei Karpathy. Vibe coding lets you focus on the big picture and product vision while letting large language models (LLMs) handle the nitty-gritty details, melting away traditional coding hurdles. Shashank walks through his weekend project, Convo (convochat.io), an AI-powered app that analyzes exported chat backups from WhatsApp, Telegram, Facebook Messenger, or SMS. It delivers fun stats (like 11,000 messages sent to a friend over four years), conversation summaries, sentiment analysis, and even tips for better chats—all built with minimal manual coding. The duo shares practical tips for vibe coding success: brainstorming ideas with Claude, designing UIs in Stitch, building with tools like Cursor or Replit, using Git for checkpoints, picking popular frameworks (e.g., Tailwind CSS), writing tests, debugging with logs, optimizing SEO, and branding with AI-generated logos. They discuss pros (rapid prototyping, low costs—Shashank spent just $18), cons (scaling challenges, bug fixes), and best practices for beginners, including modularity, documentation, and refactoring. Whether you're a seasoned dev or a total newbie, this episode shows how AI tools can turn ideas into launched MVPs in days, not months. Tune in for inspiration, real-world examples, and motivation to vibe code your next project!
What if, thanks to AI, you can now research and write a book two, three, or even four times faster? For authors and AI pioneers Steven Johnson (Editorial Director, NotebookLM and Google Labs) and Ethan Mollick (Wharton professor and creator of One Useful Thing), that's the new reality. In this episode, they crack open their personal toolkits to reveal the prompts and workflows they use to supercharge their creativity. What you'll learn: How Steven used AI to write 40,000 words in 72 hours. The specific AI tools Steven and Ethan rely on for researching and writing. Whether AI will ever write better than humans. How the very concept of a "book" may morph into an interactive, personalized experience that readers can query, customize, and even turn into a game. Further listening: BILL GATES: Superhuman AI May Be Closer Than You Think SAL KHAN: How AI Will Revolutionize the Way We Learn MARYANNE WOLF: Are We Forgetting How To Read? STEVEN JOHNSON & DAVID CHALMERS: Artificial Intelligence Meets Virtual Worlds ADAM BROTMAN & ANDY SACK: The AI Tsunami Is Already Here ——— This episode is brought to you by AUTHOR INSIDER, our exclusive community and learning platform for ambitious creators. What's Inside: ✅ Innovative strategies from bestselling authors and industry experts ✅ Audience growth tactics to expand your readership and revenue ✅ Vibrant creator community for networking and collaboration ✅ Exclusive content not available anywhere else
There's millions of people who want to vibe code -- but don't know where to get started.After all... vibe coding tools often are still full-stack enterprise powerhouses with a steep uphill learning curve. If only there were a simpler vibe coding platform that didn't even have code. That's Google Opal. And for this rendition of AI at Work Wednesday, we show you how to use Google's Opal to create simple apps that tackle some of your most repetitive, redundant tasks.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Google Opal Vibe Coding Tool OverviewHow to Use Google Opal: Step-by-StepOpal vs. Cursor, Replit, Copilot ComparisonBuilding No-Code AI Apps with OpalGoogle Opal Natural Language Workflow CreationOpal for Task-Based AI App DevelopmentGoogle Opal Beta Features and LimitationsPrebuilt Google Opal Apps and TemplatesVisual Editor and App Sharing in OpalOpal's Integration with Gemini AI ModelsTimestamps:00:00 "Everyday AI for Business Leaders"04:34 "Opal: Easy No-Code AI Apps"07:33 "Validate Ideas Before Full Development"11:25 Interactive Canvas with Chat Integration14:36 "Podcast: Interactive Instruction Feature"19:13 Efficient Research for Timely Episodes22:16 "Real-Time Deep Research Process"24:20 "Trends in Smaller Language Models"29:05 Improving Podcast Visual Strategies30:58 Remixing Apps with Google Opal35:45 "No-Code Opal Revolutionizes MVP Development"37:11 "Opal Tool Demos for Users"Keywords:Google Opal, Opal vibe coding, vibe coding tool, no code AI, Google AI, Google Labs, natural language app builder, AI app generator, AI workflow automation, task apps, visual app builder, Google Gemini, Gemini app, AI chaining, Google AI models, Gemini 2.5, Gemini Pro, Gemini Flash, AI image generation, VO3, audio LM, Lyria 2, multimodal AI, deep research, interactive web application, app editor, Opal gallery, prebuilt AI apps, app remixing, AI output customization, AI for nontechnical users, AI chaining tools, Google Jules, Cursor, GitHub CopilotSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Is AI just better software? Or something completely different that requires a new paradigm to understand? Today we sit down with Bret Taylor and Clay Bavor, two of the best product builders in the world to tackle that question. Bret and Clay are the co-founders of the AI company Sierra.Brett's resume reads like a greatest hits of Silicon Valley: co-creator of Google Maps, founder of FriendFeed (acquired by Facebook where he became CTO), founder of Quip (acquired by Salesforce where he became co-CEO), former Chairman of the Board at Twitter, and current Chairman of the Board at OpenAI. Clay spent 18+ years at Google, starting as an APM alongside Brett and eventually running product for Gmail, Drive, Docs (all of Google Workspace), Google Labs, and the company's AR/VR efforts.In addition to AI, today's conversation has some great tech industry history discussion and old Google stories, perfect to tide us all over between Google Part I and Part II!Additional Topics:The accelerating adoption curves of technology waves, and if we'll ever see an app that gets a billion users in one daySecond- and third-order effects of agents on the internet economy and customer experienceMaking predictions on which AI terminology will stick and what won'tNew pricing models in the era of AI, like “outcome-based pricing”What it's like to build teams in this new AI eraLinks:SierraSponsors:Plaid: https://plaid.com
Could GPT-5 only be weeks away?Why are Microsoft and Google going all in on vibe coding?What's the White House AI Action Plan actually mean?Don't spend hours a day trying to figure out what AI means for your company or career. That's our job. So join us on Mondays as we bring you the AI News That Matters. No fluff. Just what you need to ACTUALLY pay attention to in the business side of AI. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:GPT-5 Release Timeline and FeaturesGoogle Opal AI Vibe Coding ToolNvidia B200 AI Chip Black Market ChinaTrump White House AI Action Plan DetailsMicrosoft GitHub Spark AI Coding LaunchGoogle's AI News Licensing NegotiationsMicrosoft Copilot Visual Avatar (“Clippy” AI)Netflix Uses Generative AI for Visual EffectsOpenAI Warns of AI-Driven Fraud CrisisNew Google, Claude, and Runway AI Feature UpdatesTimestamps:00:00 "OpenAI's GPT-5 Release Announced"04:57 OpenAI Faces Pressure from Gemini07:13 EU AI Act vs. US AI Priorities12:12 Black Market Thrives for Nvidia Chips13:46 US AI Action Plan Unveiled19:34 Microsoft's GitHub Spark Unveiled21:17 Google vs. Microsoft: AI Showdown25:28 Google's New AI Partnership Strategy29:23 Microsoft's Animated AI Assistant Revival33:52 Generative AI in Film Industry38:55 AI Race & Imminent Fraud Crisis40:15 AI Threats and Future InnovationsKeywords:GPT 5 release date, OpenAI, GPT-4, GPT-4O, advanced reasoning abilities, artificial general intelligence, AGI, O3 reasoning, GPT-5 Mini, GPT-5 Nano, API access, Microsoft Copilot, model selector, LM arena, Gemini 2.5 Pro, Google Vibe Coding, Opal, no-code AI, low-code app maker, Google Labs, AI-powered web apps, app development, visual workflow editor, generative AI, AI app creation, Anthropic Claude Sonet 4, GitHub Copilot Spark, Microsoft GitHub, Copilot Pro Plus, AI coding tools, AI search, Perplexity, news licensing deals, Google AI Overview, AI summaries, click-through rate, organic search traffic, Associated Press, Condé Nast, The Atlantic, LA Times, AI in publishing, generative AI video, Netflix, El Eternauta, AI-generated visual effects, AI-powered VFX, Runway, AI for film and TV, job displacement from AI, AI-driven fraud, AI voice cloning, AI impersonation, financial scams, AI regulation, White House AI Action Plan, executive orders on AI, AI innovation, AI deregulaSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner
Join me as I chat with Josh Woodward, VP of Google Labs & Gemini, as he showcases Google's latest AI products and their capabilities. The conversation covers Gemini's advanced features including personalized context integration and video generation, Flow's AI filmmaking capabilities, Notebook LM's research and knowledge exploration tools, Stitch's UI design automation, and Project Mariner's autonomous web task execution. Throughout the demonstration, Josh highlights how these tools can empower both professionals and individuals to create high-quality content and automate tasks. Timestamps: 00:00 - Intro 01:57 - Gemini app features and capabilities 06:53 - Video generation with Gemini 13:53 - Flow AI filmmaking tool demonstration 21:17 - Notebook LM research and knowledge exploration 26:47 - Stitch UI design tool overview 31:04 - Project Mariner autonomous web agent demo Checkout Google's AI Product Suite: https://labs.google Key Points: • Josh Woodward demonstrates five Google AI products: Gemini, Flow, Notebook LM, Stitch, and Project Mariner • Gemini features include scheduled actions, personalized context, and video generation capabilities • Flow is an AI filmmaking tool that allows users to create and edit high-quality videos with simple prompts • Project Mariner enables AI agents to perform web-based tasks autonomously with human oversight The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ Boringmarketing - Vibe Marketing for Companies: http://boringmarketing.com/ The Vibe Marketer - Join the Community and Learn: http://thevibemarketer.com/ Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.skool.com/startupempire/about FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND JOSH ON SOCIAL X/Twitter: https://x.com/joshwoodward LinkedIn: https://www.linkedin.com/in/joshwoodward/
David Webster is the head of UX at Google Labs, the company’s experimental AI division. When he stepped into the role in 2022, the tech world was scrambling to respond to the rise of ChatGPT — and Google Labs was no exception. Since then, the team has launched several high-profile projects, including the viral NotebookLM. Webster joins Oz to share his philosophy on human-centered design and how it shapes Google’s AI experiments.See omnystudio.com/listener for privacy information.
Most leaders learn on the fly—and Kim knows the bruises that come with it. In this episode she joins longtime Google Distinguished Designer Ryan Germick to discuss the innovative "Kim Scott Portrait," an AI-powered tool designed by Google Labs (and trained by the real Kim) to scale Kim's expertise and deliver Radically Candid advice 24/7. Discover how this new technology aims to humanize AI, free authors from the burden of answering repetitive questions, and foster more productive communication in the workplace. Get all of the show notes at RadicalCandor.com/podcast. Episode Links: Transcript Now You Can Talk Radical Candor 24/7 With the Kim Scott Portrait Google Portrait | Kim Scott Ryan Germick - Google | LinkedIn Connect: Website Instagram TikTok LinkedIn YouTube Bluesky Chapters: (00:00:00) Introduction Kim and Ryan Germick introduce the “Portrait” collaboration—an AI version of Kim designed to scale her coaching. (00:01:33) Live Coaching Demo Kim's Portrait answers a tough management question. (00:03:36) Why the Portrait Matters How the Portrait helps Kim reach more people and free up time for writing. (00:05:38) Kim's Next Book A look into Kim's upcoming optimistic novel set in 2070. (00:06:30) Family Interactions with the Portrait Funny and revealing story of Kim's son debating the AI. (00:08:10) The “Automated Kim” Origin Story How a team joke at Google inspired the Portrait concept. (00:09:29) Coaching at Scale Why books and AI scale Kim's message better than 1:1 coaching. (00:11:41) Personalized vs Generic AI The value of expert-driven Portraits over average LLM responses. (00:12:57) Training the Portrait Kim explains her hands-on role in fine-tuning its responses. (00:14:44) Solving Repetitive Questions How Portraits provide patient, consistent answers to FAQs. (00:16:07) Productive Disagreement Through Portraits The vision for AI-facilitated, respectful debates. (00:17:26) Expanding Globally Plans for multi-language and international Portrait availability. (00:17:48) Real-World Use Cases The ways Portraits support work, life, and social media decisions. (00:20:23) Empathy-Driven AI AI as a personal board of directors, with lived-experience expertise. (00:23:51) Empowering Creators Portraits can be embedded on creators' own platforms—no lock-in. (00:26:19) Lived Experience as Research Kim defends storytelling as a valid path to truth and insight. (00:28:24) Supporting New Managers Portraits offer guidance during the lonely transition into leadership. (00:31:11) Navigating Difficult Bosses Portraits can help employees manage up with empathy and agency. (00:33:30) Changing Workplace Culture Helping people shift from silence or aggression to Radical Candor. (00:36:17) Personality Extenders Portraits as scalable human touchpoints for the future. (00:38:51) Creating Your Own Portrait How to create your own Portrait and scale your voice. (00:39:48) Conclusion Learn more about your ad choices. Visit megaphone.fm/adchoices
Brian Brushwood joins us to explain how he uses camera robots to help him with his podcasting setup. Is it too soon to call Microsoft Copilot+ PCs a failure? Google Labs launches Doppl, a new experimental iOS and Android app that lets you virtually try on outfits via AI generated images of yourself. Starring Sarah Lane, Tom Merritt, Robb Dunewood, Brian Brushwood, Roger Chang, Joe. To read the show notes in a separate page click here! Support the show on Patreon by becoming a supporter!
Fresh off impressive releases at Google's I/O event, three Google Labs leaders explain how they're reimagining creative tools and productivity workflows. Thomas Iljic details how video generation is merging filmmaking with gaming through generative AI cameras and world-building interfaces in Whisk and Veo. Jaclyn Konzelmann demonstrates how Project Mariner evolved from a disruptive browser takeover to an intelligent background assistant that remembers context across multiple tasks. Simon Tokumine reveals NotebookLM's expansion beyond viral audio overviews into a comprehensive platform for transforming information into personalized formats. The conversation explores the shift from prompting to showing and telling, the economics of AI-powered e-commerce, and why being “too early” has become Google Labs' biggest challenge and advantage. Hosted by Sonya Huang, Sequoia Capital 00:00 Introduction 02:12 Google's AI models and public perception 04:18 Google's history in image and video generation 06:45 Where Whisk and Flow fit 10:30 How close are we to having the ideal tool for the craft? 13:05 Where do the movie and game worlds start to merge? 16:25 Introduction to Project Mariner 17:15 How Mariner works 22:34 Mariner user behaviors 27:07 Temporary tattoos and URL memory 27:53 Project Mariner's future 29:26 Agent capabilities and use cases 31:09 E-commerce and agent interaction 35:03 Notebook LM evolution 48:26 Predictions and future of AI Mentioned in this episode: Whisk: Image and video generation app for consumers Flow: AI-powered filmmaking with new Veo 3 model Project Mariner: research prototype exploring the future of human-agent interaction, starting with browsers NotebookLM: tool for understanding and engaging with complex information including Audio Overviews and now a mobile app Shop with AI Mode: Shopping app with a virtual try-on tool based on your own photos Stitch: New prompt-based interface to design UI for mobile and web applications. ControlNet paper: Outlined an architecture for adding conditional language to direct the outputs of image generation with diffusion models
Mike McCue introduces Surf: Flipboard's founder and CEO demonstrated their new social browser app that aggregates content from ActivityPub, AT Proto, and RSS into unified feeds, allowing users to follow people across platforms and create curated content collections. OpenAI Adjusts Reorganization Plans: OpenAI will maintain its non-profit arm while converting its for-profit division into a public benefit corporation similar to Anthropic, pending regulatory approval. AI Criticism Blog Post: A blog highlighted practical AI concerns beyond the singularity, focusing on coordinated inauthentic behavior, misinformation, and non-consensual pornography. AI Workplace Misuse: Nearly half of workers admit to using AI inappropriately at work according to a Fast Company report. AI Academic Cheating: New York Magazine investigated widespread AI cheating in colleges, including students using AI for all assignments while maintaining excellent grades. "I Smell AI": The team discussed unreliable AI detection methods and embarrassing AI-generated news errors, including Alberta being incorrectly described as "French-speaking." Instagram Co-founder on AI Chatbots: Kevin Systrom claims AI assistants are designed to maximize engagement metrics rather than utility, though Leo demonstrated how these behaviors can be modified. Google Labs' AI Experiments: The hosts explored Google's new AI Mode search interface, language learning tools, and a career recommendation system. New York Times Subscriber Growth: The NYT added 250,000 digital subscribers with a 14% jump in digital subscription revenue, with nearly half subscribing to multiple products. Auburn University's Phone Help Desk: The hosts discussed Auburn's 70-year tradition of librarians answering public phone questions, continuing through technological changes. San Francisco's Orb Store: World opened a downtown storefront where visitors scan their irises with "orbs" to verify humanity and receive WorldCoin cryptocurrency. Driverless Trucks Begin Regular Routes: Aurora launched fully autonomous semi-trucks between Dallas and Houston, raising both safety hopes and public perception concerns. Waymo Safety Study: Data showed Waymo's autonomous vehicles significantly reduced injury crashes, though the hosts questioned aspects of the data presentation. AI-Generated Video in Court: An AI-generated video of a deceased shooting victim "forgiving" his killer was shown in an Arizona courtroom, raising ethical and legal questions. Paris's Game Recommendation - Norco: Paris recommended the Southern Gothic narrative game Norco, set in industrial Louisiana with a surreal atmosphere similar to Disco Elysium. Leo's Game Recommendation - Tippy Coco: Leo shared a simple browser-based ball-bouncing game at TippyCoco.com as an easy option for casual players. Jeff's Pick - World Bank Data Sets: Jeff highlighted World Bank's release of hundreds of public data sets intended for AI training that provide insight into global technology adoption. Google Invests in Wonder: Google Ventures invested in virtual kitchen company Wonder, which raised $600 million despite questions about food delivery business sustainability. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/intelligent-machines/episodes/818 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Mike McCue Sponsors: monarchmoney.com with code IM spaceship.com/twit bigid.com/im Melissa.com/twit
Mike McCue introduces Surf: Flipboard's founder and CEO demonstrated their new social browser app that aggregates content from ActivityPub, AT Proto, and RSS into unified feeds, allowing users to follow people across platforms and create curated content collections. OpenAI Adjusts Reorganization Plans: OpenAI will maintain its non-profit arm while converting its for-profit division into a public benefit corporation similar to Anthropic, pending regulatory approval. AI Criticism Blog Post: A blog highlighted practical AI concerns beyond the singularity, focusing on coordinated inauthentic behavior, misinformation, and non-consensual pornography. AI Workplace Misuse: Nearly half of workers admit to using AI inappropriately at work according to a Fast Company report. AI Academic Cheating: New York Magazine investigated widespread AI cheating in colleges, including students using AI for all assignments while maintaining excellent grades. "I Smell AI": The team discussed unreliable AI detection methods and embarrassing AI-generated news errors, including Alberta being incorrectly described as "French-speaking." Instagram Co-founder on AI Chatbots: Kevin Systrom claims AI assistants are designed to maximize engagement metrics rather than utility, though Leo demonstrated how these behaviors can be modified. Google Labs' AI Experiments: The hosts explored Google's new AI Mode search interface, language learning tools, and a career recommendation system. New York Times Subscriber Growth: The NYT added 250,000 digital subscribers with a 14% jump in digital subscription revenue, with nearly half subscribing to multiple products. Auburn University's Phone Help Desk: The hosts discussed Auburn's 70-year tradition of librarians answering public phone questions, continuing through technological changes. San Francisco's Orb Store: World opened a downtown storefront where visitors scan their irises with "orbs" to verify humanity and receive WorldCoin cryptocurrency. Driverless Trucks Begin Regular Routes: Aurora launched fully autonomous semi-trucks between Dallas and Houston, raising both safety hopes and public perception concerns. Waymo Safety Study: Data showed Waymo's autonomous vehicles significantly reduced injury crashes, though the hosts questioned aspects of the data presentation. AI-Generated Video in Court: An AI-generated video of a deceased shooting victim "forgiving" his killer was shown in an Arizona courtroom, raising ethical and legal questions. Paris's Game Recommendation - Norco: Paris recommended the Southern Gothic narrative game Norco, set in industrial Louisiana with a surreal atmosphere similar to Disco Elysium. Leo's Game Recommendation - Tippy Coco: Leo shared a simple browser-based ball-bouncing game at TippyCoco.com as an easy option for casual players. Jeff's Pick - World Bank Data Sets: Jeff highlighted World Bank's release of hundreds of public data sets intended for AI training that provide insight into global technology adoption. Google Invests in Wonder: Google Ventures invested in virtual kitchen company Wonder, which raised $600 million despite questions about food delivery business sustainability. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/intelligent-machines/episodes/818 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Mike McCue Sponsors: monarchmoney.com with code IM spaceship.com/twit bigid.com/im Melissa.com/twit
Mike McCue introduces Surf: Flipboard's founder and CEO demonstrated their new social browser app that aggregates content from ActivityPub, AT Proto, and RSS into unified feeds, allowing users to follow people across platforms and create curated content collections. OpenAI Adjusts Reorganization Plans: OpenAI will maintain its non-profit arm while converting its for-profit division into a public benefit corporation similar to Anthropic, pending regulatory approval. AI Criticism Blog Post: A blog highlighted practical AI concerns beyond the singularity, focusing on coordinated inauthentic behavior, misinformation, and non-consensual pornography. AI Workplace Misuse: Nearly half of workers admit to using AI inappropriately at work according to a Fast Company report. AI Academic Cheating: New York Magazine investigated widespread AI cheating in colleges, including students using AI for all assignments while maintaining excellent grades. "I Smell AI": The team discussed unreliable AI detection methods and embarrassing AI-generated news errors, including Alberta being incorrectly described as "French-speaking." Instagram Co-founder on AI Chatbots: Kevin Systrom claims AI assistants are designed to maximize engagement metrics rather than utility, though Leo demonstrated how these behaviors can be modified. Google Labs' AI Experiments: The hosts explored Google's new AI Mode search interface, language learning tools, and a career recommendation system. New York Times Subscriber Growth: The NYT added 250,000 digital subscribers with a 14% jump in digital subscription revenue, with nearly half subscribing to multiple products. Auburn University's Phone Help Desk: The hosts discussed Auburn's 70-year tradition of librarians answering public phone questions, continuing through technological changes. San Francisco's Orb Store: World opened a downtown storefront where visitors scan their irises with "orbs" to verify humanity and receive WorldCoin cryptocurrency. Driverless Trucks Begin Regular Routes: Aurora launched fully autonomous semi-trucks between Dallas and Houston, raising both safety hopes and public perception concerns. Waymo Safety Study: Data showed Waymo's autonomous vehicles significantly reduced injury crashes, though the hosts questioned aspects of the data presentation. AI-Generated Video in Court: An AI-generated video of a deceased shooting victim "forgiving" his killer was shown in an Arizona courtroom, raising ethical and legal questions. Paris's Game Recommendation - Norco: Paris recommended the Southern Gothic narrative game Norco, set in industrial Louisiana with a surreal atmosphere similar to Disco Elysium. Leo's Game Recommendation - Tippy Coco: Leo shared a simple browser-based ball-bouncing game at TippyCoco.com as an easy option for casual players. Jeff's Pick - World Bank Data Sets: Jeff highlighted World Bank's release of hundreds of public data sets intended for AI training that provide insight into global technology adoption. Google Invests in Wonder: Google Ventures invested in virtual kitchen company Wonder, which raised $600 million despite questions about food delivery business sustainability. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/intelligent-machines/episodes/818 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Mike McCue Sponsors: monarchmoney.com with code IM spaceship.com/twit bigid.com/im Melissa.com/twit
Mike McCue introduces Surf: Flipboard's founder and CEO demonstrated their new social browser app that aggregates content from ActivityPub, AT Proto, and RSS into unified feeds, allowing users to follow people across platforms and create curated content collections. OpenAI Adjusts Reorganization Plans: OpenAI will maintain its non-profit arm while converting its for-profit division into a public benefit corporation similar to Anthropic, pending regulatory approval. AI Criticism Blog Post: A blog highlighted practical AI concerns beyond the singularity, focusing on coordinated inauthentic behavior, misinformation, and non-consensual pornography. AI Workplace Misuse: Nearly half of workers admit to using AI inappropriately at work according to a Fast Company report. AI Academic Cheating: New York Magazine investigated widespread AI cheating in colleges, including students using AI for all assignments while maintaining excellent grades. "I Smell AI": The team discussed unreliable AI detection methods and embarrassing AI-generated news errors, including Alberta being incorrectly described as "French-speaking." Instagram Co-founder on AI Chatbots: Kevin Systrom claims AI assistants are designed to maximize engagement metrics rather than utility, though Leo demonstrated how these behaviors can be modified. Google Labs' AI Experiments: The hosts explored Google's new AI Mode search interface, language learning tools, and a career recommendation system. New York Times Subscriber Growth: The NYT added 250,000 digital subscribers with a 14% jump in digital subscription revenue, with nearly half subscribing to multiple products. Auburn University's Phone Help Desk: The hosts discussed Auburn's 70-year tradition of librarians answering public phone questions, continuing through technological changes. San Francisco's Orb Store: World opened a downtown storefront where visitors scan their irises with "orbs" to verify humanity and receive WorldCoin cryptocurrency. Driverless Trucks Begin Regular Routes: Aurora launched fully autonomous semi-trucks between Dallas and Houston, raising both safety hopes and public perception concerns. Waymo Safety Study: Data showed Waymo's autonomous vehicles significantly reduced injury crashes, though the hosts questioned aspects of the data presentation. AI-Generated Video in Court: An AI-generated video of a deceased shooting victim "forgiving" his killer was shown in an Arizona courtroom, raising ethical and legal questions. Paris's Game Recommendation - Norco: Paris recommended the Southern Gothic narrative game Norco, set in industrial Louisiana with a surreal atmosphere similar to Disco Elysium. Leo's Game Recommendation - Tippy Coco: Leo shared a simple browser-based ball-bouncing game at TippyCoco.com as an easy option for casual players. Jeff's Pick - World Bank Data Sets: Jeff highlighted World Bank's release of hundreds of public data sets intended for AI training that provide insight into global technology adoption. Google Invests in Wonder: Google Ventures invested in virtual kitchen company Wonder, which raised $600 million despite questions about food delivery business sustainability. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/intelligent-machines/episodes/818 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Mike McCue Sponsors: monarchmoney.com with code IM spaceship.com/twit bigid.com/im Melissa.com/twit
In the mid-2000s, Ben Brown started his career designing demand response programs that relied on pagers and telephones. Today, as Renew Home's CEO, he's leveraging AI and tens of millions of connected smart devices to help households save energy and create an entirely new approach to grid management. Renew Home is building a new kind of virtual power plant that moves beyond occasional emergency events toward continuous, subtle energy shifts across millions of connected households. "The biggest evolution is connected devices," explains Brown, who previously led energy product development at Google after its acquisition of Nest. During his time at Google Labs working on large language models, Brown also witnessed firsthand the massive energy demands that AI would place on our grid. This realization, combined with his work on smart home technology, led Brown to envision a new approach to virtual power plants – one built on subtle, personalized adjustments across millions of homes rather than occasional disruptive events. “There's actually a lot more value continuously throughout the year, over hundreds of hours where customers can save more money by helping support the grid." With DOE projections showing a 200 gigawatt peak on the US grid by 2030, Renew Home's approach offers a compelling alternative to building new power plants. By focusing on customer control and personalization, they've achieved 75% opt-in rates, while creating a resource that is far cheaper than gas peakers. In this episode, recorded as part of a live Frontier Forum, Stephen Lacey talks with Ben Brown about the next generation of virtual power plants. How does Renew Home's approach differ from demand response or battery-based VPPs? And what role can it play in addressing the grid's urgent needs? This is a partner episode, brought to you by Renew Home. It was recorded live as part of Latitude Media's Frontier Forum series. Watch the full video to hear more details about next-generation VPPs.
Is Apple Intelligence as good as Apple says it is? Emily Forlini from PC Magazine shares her experience. Plus US users can try out Google Labs new image generator called Whisk. And Mark Zuckerberg announced Threads daily and monthly active users numbers. And how do they compare with X and Bluesky?Starring Tom Merritt, Sarah Lane, Emily Forlini, Roger Chang, Joe.Link to the Show Notes.
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