The Eighth

I realised recently that the time I was spending sharing my ideas was actually strangling the sharing of ideas themselves. In this BrainStream, I'm opening up about why I'm working to automate my entire production pipeline—from transcripts to clips— to keep sharing. I think we're entering an era where 'janking' together AI tools like Claude Code and Remotion isn't just a hack; it's the only way to keep up with the ROI of our own thoughts. I wonder if the future of the UI isn't just talking to our computers, but having them understand the visual and emotional context of our work before we even ask.Timestamps(0:00) The Guatemala Vision Pro Backlog(2:15) When the ROI of Sharing Doesn't Make Sense(4:10) From 2017 Manual Edits to AI Pipelines(6:20) Automating the 'Boring Stuff': Clips & Captions(8:10) The Post-Siri World: OpenClaw & Agentic FilesystemsListen OnIf you enjoyed this episode, you can listen to more of my brainstreams on Spotify, YouTube, or Apple Podcasts.Check out my website for more insights: https://avrahamrask.in/podcast

We’re finally breaking free from the 1980s desktop paradigm and moving into a world where creation isn’t tied to a workstation. I’m diving into how I finally cracked the code on local automation for the BrainStream, bringing us closer to a future of conversational agents that actually understand and build alongside us. From my early work on the Whisper project to the current shift in spatial computing, we’re exploring how we can stop being tethered to a desk and start leveraging high-fidelity AI collaboration wherever we go.Timestamps[0:00] From GUI to Conversational OS[1:36] The Whisper Vision: Untethered AI[3:12] The High Cost of Manual Friction[4:30] Custom Pipelines Over SaaS Bloat[6:20] Local Video Clipping with Whisper JSON[8:10] Iterative Media & Generative AssetsListen OnIf you enjoyed this episode, you can listen to more of my brainstreams on Spotify, YouTube, or Apple Podcasts.Check out my website for more insights: https://avrahamrask.in/podcast

The velocity of innovation right now is insane—we’re seeing a year’s worth of progress every week—and the only way to keep up is to automate the friction out of our systems. I’ve finally dialed in a pipeline that handles the heavy lifting of post-production and distribution with a single click, freeing me up to dive deeper into the high-stakes security projects I’ve been teasing. This episode is a direct look at how I’m using AI to reclaim my time, moving away from manual content management and back toward pure insight and execution. If we're going to build the future, we can't afford to be slowed down by the logistics of the present.TIMESTAMPS:0:00 | Navigating the AI Acceleration Curve1:45 | Why Content Friction Stalls Big Ideas3:20 | The Utility of the Spoken Word5:10 | Solving Local vs. Cloud Friction6:55 | Video as Code: The Remotion Shift8:30 | Closing the Agent-Driven LoopLISTEN ONSpotify: https://open.spotify.com/show/0gyQydQ9h5PM2gGUWy1PfCYouTube: https://youtube.com/playlist?list=PLifoYer83q8ACtYWCtjhoOHGmfslydLM7&si=yKhmWU6J9t6j9USFApple Podcasts: https://podcasts.apple.com/us/podcast/id1726877985Website: https://avrahamrask.in/podcast

In this year-end Brainstream, Avraham revisits a 2018–2019 video exploring how augmented reality and AI could transform everyday problem solving. Using the example of fixing a broken fridge, he unpacks multimodal AI—vision, sound, and conversation working together—and reflects on how concepts from seven years ago are becoming increasingly practical today. This episode also considers the evolving relationship between humans and AI in collaborative problem solving.TL;DRA seven-year-old video predicting AI-assisted, AR-driven home repairs highlights how multimodal AI—integrating vision, sound, and conversation—can empower humans to solve problems collaboratively without experts or cloud dependency.🎧 Listen on Spotify | YouTube | Apple PodcastsListen to the full episode and explore more Brainstream → https://avrahamraskin.com/podcast

A quiet rumour about OpenAI tapping into Apple Health sparks a deeper question: what would a truly private, on-device health intelligence actually look like? Listen on Spotify, YouTube, Apple PodcastsMore episodes → https://avrahamraskin.com/podcastTimestamps00:00 | The Rumour About OpenAI And Apple Health01:06 | Why Access To Raw Health Data Actually Matters01:45 | The Privacy Problem With Cloud-Based LLMs02:26 | The Case For A True On-Device Reasoning Model03:12 | Hardware Limits And Why Models Must Shrink04:26 | What A Smarter Siri Should Really Be05:14 | Health Metrics, Trends, And Real Coaching06:24 | The Missing Link: Nutrition Data07:12 | Rumours Of Apple HealthPlus08:02 | What Real AI Coaching Should Feel Like09:07 | Integrating Sleep, Training, Journaling, And Goals09:48 | The Vision: A Private, Personal, On-Device Coach

In this BrainStream, I explore why we’re on the edge of a generational shift in how properties are secured. Not just sensors. Not just cameras. A true, always-awake operator built from VLMs, re-identification, and on-prem AI. I look at Ubiquiti’s position, emerging players, and why the “virtual guard” model is no longer sci-fi but an inevitable next step.TL;DRSecurity is moving from alarms to an always-awake, property-aware AI operators that verifies, learns, and predicts.🎧 Listen Now at Spotify, YouTube, or Apple Podcasts→ More at: https://avrahamraskin.com/podcastTimestamps00:00 | Why I Had to Record One More00:21 | The Ubiquiti/UniFi Fascination01:31 | The “Ultimate Operator” Concept02:20 | Parameters → Description: A Real Turning Point03:21 | Teaching an AI the Property (The Guard Analogy)04:41 | From Virtual Guards to Site-Aware Intelligence05:22 | Alarm Monitoring: The Missing Link06:13 | Camera Verification and VLM Reasoning08:48 | Prediction Instead of Reaction09:51 | Closing the Loop: Where This Is Heading#Ubiquiti #UniFi #VideoOperator #VLM #Re-ID #Alarm #Verification #PredictiveSecurity #On-Prem AI #ComputerVision #Security #Future

A concise, investigative tour of how security video evolved from passive cctv to intelligent, searchable footage powered by local ai and video-language models. I maps the technical lineage-motion sensing, smart detections, face and plate id, the “AI Key,” and scene-level vlm search-and explain why pattern discovery at scale is the next operational leap for site security and investigations.“video that used to be passive now becomes a searchable narrative.”🎧 listen on spotify, youtube, apple podcasts🔗 more episodes → https://avrahamraskin.com/podcasttl;drsecurity cameras have graduated from passive recorders to active, searchable sensors. video-language models (vlms) and local llm-like agents enable natural-language scene search and condensed pattern visualisations-powerful for investigations but constrained today by compute and edge deployment. the next frontier is real-time, site-wide pattern detection running at the edge.timestamps00:00 | introduction and context00:23 | the evolution: cctv → motion → smart detections01:56 | face detection, license plates, and granular id02:19 | the “ai key”: local llm-style analytics (what it adds)03:35 | video-language models: frame description → search05:03 | practical investigative tools and scene search examples06:03 | pattern discovery: briefcam and condensed timelines07:40 | limitations today: compute, edge, and the next step09:56 | closing thoughts and what’s next

Most security systems still behave like they did 20 years ago-reactive, limited, and blind to the context hidden inside their own recordings. In this Brainstream, we explore why the real frontier in security isn’t better alerts or higher-resolution cameras, but AI systems that can learn a site’s patterns, behaviours, anomalies, and risks over months of recorded footage. This episode outlines the shift from “review after the incident” to “predict before it happens,” and why the intelligence trapped inside our footage is the most valuable, unused asset in modern security.TL;DRSecurity cameras shouldn’t just replay the past-they should understand it. When indexed, analysed, and contextualised, months of footage can power predictive, site-specific intelligence far beyond traditional monitoring.🎧 Listen on ⁠⁠Spotify⁠, ⁠⁠YouTube⁠⁠, ⁠⁠Apple Podcasts⁠⁠🔗 More episodes → ⁠https://avrahamraskin.com/podcast⁠Timestamps00:00 | Opening: Why talk about the future of security00:05 | Why this topic needs multiple videos00:08 | A new product direction after years in the field00:19 | The core problem: cameras are reactive00:26 | Footage as an investigative tool, not a live one00:34 | Tools like BriefCam and condensed investigations00:51 | The inevitability of deep pattern analysis01:17 | Rethinking what recorded footage really contains01:26 | On-site storage vs cloud motion clips01:48 | Why modern systems rarely store “everything”02:14 | The hidden value inside long-term footage02:27 | Thought experiment: downloading 6 months of footage into a guard03:06 | Scale: 25–100 cameras, months of data03:25 | What context a human misses vs what the data contains03:58 | Reviewing footage: hours, days, weeks04:25 | Pattern detection after the fact04:54 | The industry’s stuck in reactive mode05:02 | Moving from reactive to predictive05:17 | Connecting dots before the incident05:24 | Trends, anomalies, and site-specific patterns05:34 | What good security guards actually do06:00 | Knowing who belongs and who doesn’t06:13 | Cameras should be able to learn the same06:22 | Context → patterns → prediction06:34 | Generations of camera evolution07:00 | Smart detections: person, car, face, plate07:14 | More granular detection: clothing, colours, models07:36 | Natural-language retrieval: next-generation search07:56 | But still mostly reactive08:03 | True intelligence: learning the site itself08:12 | Threat assessment powered by context08:26 | The massive, untapped value in indexed footage08:51 | Behaviour understanding vs object detection09:04 | AI as a security operator/assistant09:14 | Cameras becoming proactive09:20 | Future episodes: alarms, sensors, monitoring09:33 | Industry progress & uneven advancement09:42 | Why pattern understanding changes everything09:57 | Closing: A new era is coming

What if you could circle the entire Old City of Jerusalem - comfortably, accessibly, and beautifully? In this episode of Brainstreams, we explore a future-facing vision for a dedicated light rail line that loops around the Old City walls. From smart routing and grade calculations to archaeological sensitivity and pedestrian flow, this Brainstream dives deep into a generative design sprint born from both data and lived experience.TL;DR:A Jerusalem city loop light rail around all seven gates could transform access, beauty, and spiritual flow - this is the design pitch.We discuss multi-line integration (red, brown, yellow), how to preserve archaeology while opening new paths, grading challenges, and why a humble footpath + rail combo might be the most transformative layer Jerusalem’s had in decades.🎧 Listen now on ⁠Spotify⁠, ⁠YouTube⁠, or ⁠Apple Podcasts⁠→ More at ⁠avrahamraskin.com/podcast⁠Timestamps:00:00 | Intro: What is the Old City Loop?00:43 | Green space, walking path, and rail: the triple-ring vision01:58 | The gaps in Jerusalem’s current light rail access03:06 | Seven gates, one loop: walking through the plan05:01 | Grades, curvature, and optimal timing06:13 | Integrating with existing and future lines (Red, Yellow, Brown)07:30 | One-way loop + second-direction bus support09:23 | Accessibility at Shaar Tzion & other grading concerns10:00 | Park & Ride potential near Damascus and Dung Gates12:04 | New Gate tradeoffs & archaeological bridge ideas13:06 | Solving steep terrain with design sensitivity14:39 | Closing thoughts: Could this really happen?

What if kosher products simply revealed themselves—- guessing, no flipping, no frantic Googling? In this Brainstream, we explore a futuristic vision that’s already partially built: an augmented-reality-based kosher shopping experience. Born from the frustration of finding kosher food in Australia, the idea reimagines the process from the ground up-no lists, no scanning, just visual certainty.TL;DR:Imagine pointing your phone at a supermarket shelf and instantly seeing which products are kosher-powered by AR, crowdsourcing, and smart databases. This Brainstream lays out that vision.We also dive into the pain of local-only kosher databases, the promise of contributor modes, and how we can use computer vision, gamification, and community to create the ultimate global kosher assistant.🎧 Listen now on Spotify, YouTube, or Apple Podcasts→ More at avrahamraskin.com/podcastTimestamps:00:00 — The AR Kosher Shopping Vision00:49 — Growing Up Without Easy Kosher Access02:00 — Kosher Australia App: Helpful But Limited03:04 — The Chocolate Shelf Incident (and UX friction)04:11 — Barcode Scanning: A Step Forward, Still Painful05:25 — Every Country Has Its Own App (if you’re lucky)06:03 — Why Kosher Data Shouldn’t Be Gatekept07:00 — Introducing Contributor Mode & Crowdsourced Verification08:13 — How OCR + Computer Vision Enable Instant Recognition09:23 — Game Mechanics for Certifying Products10:22 — Verification Badges & Authority Endorsements12:01 — The Pay-It-Forward Incentive Loop for Travellers13:03 — Making Kashrut Fun, Seamless, and Fluid14:01 — The Auto-Scan Dream and Proximity-Based Info

Apple’s WWDC recap wasn’t just about shiny new models or flashy demos — it revealed a vision of computing where intelligence lives closer to you than ever before. In this Brainstream, I explore how the shift to lightweight, on-device AI isn’t just a technical update — it’s a philosophical shift. We touch on Apple’s missed shortcuts, the layers of Layer[1], and how user experience needs to evolve into something fluid, not fragmented.TL;DR:This episode unpacks Apple’s approach to foundation models, live transcription, node-based automation, and the conceptual gaps between their vision and where it could be going — especially in relation to LayerOS.Let’s talk interface, operating systems, and why the real future is about how intelligence flows across your tools.Listen to Layer[1] on:Website, Spotify, YouTube, Apple PodcastsTimestamps:00:00 – Quick intro: revisiting last year’s predictions00:12 – Apple’s new live FaceTime translation00:34 – Transcription gaps & WhatsApp voice-to-text issues01:54 – What SiriGPT should’ve been02:20 – Layered apps vs. intelligent flow03:22 – Widgets, CarPlay & Apple’s game focus04:04 – Apple’s foundation model + Sam Altman’s logic05:13 – Shortcut builder dreams vs. Apple’s reality07:03 – Building layered automation with AI & prompts08:55 – Smarter Maps: learning user behaviour09:43 – A wish for transcription + text-to-speech everywhere10:00 – Wrap-up & future thoughts

What happens when websites evolve into worlds?In this brainstream, we explore Apple's VisionOS updates and what they mean for the future of digital interfaces. From spatial browsing to the beginnings of a 3D retail internet, Apple’s slow but deliberate steps hint at a massive shift. I unpack spatial scenes, shared experiences, and how these early tools are shaping tomorrow's web.We also look at how your living room might become a showroom, how eye tracking and intent will change UX, and why Gausian Splatting will play a major role in immersive AR. There’s plenty to critique — and even more to imagine.TL;DR:Apple’s VisionOS continues to push towards a spatial future. It’s not full AR yet, but the shift to immersive interfaces is undeniable. Spatial browsing, personalised retail, and shared digital experiences are just the beginning.Timestamps:00:00 - VisionOS and Spatial Computing Overview00:22 - Input and Control: Eye Tracking, Gestures, and Controllers01:16 - Spatial Scenes and Apple’s 3D Browsing Effects02:13 - Gaussian Splatting & Scanning with iPhone LiDAR03:14 - Apple Personas, Overlays & Presenter UX04:02 - Eye Tracking, Gesture Control & Intent04:59 - Widgets as Portals & Spatial Weather Concepts06:02 - Enterprise Use Cases & Shared Digital Experiences06:48 - Safari’s Spatial Browsing and the Future of Retail UX08:28 - Tailored, Transformative Websites09:40 - Wrap-up: VisionOS Today and Tomorrow

The OS of the future won’t rely on mouse clicks and app folders — it will listen, respond, and build with you. In this Brainstream, I explore the next interface evolution: intelligent agents layered over your data, shortcut automation powered by natural language, and why Apple Mail still feels like it’s stuck in 2009.We dive into macOS and tvOS updates, talk frustrations with email, and uncover where Apple’s getting it right — and where it still falls short.TL;DR:Apple’s current updates feel like polishing old tools. We need conversational OS layers, shortcut agents, and a voice-powered rethink of creation — from building slides to managing email.🎧 Listen to Layer[1]:→ Website→ Spotify→ YouTube→ Apple PodcastsTimestamps:00:00 TVOS redesign & lyric sync wish list01:36 First thoughts on MacOS: design tweaks and frustrations with Mail02:25 Why Mail needs to evolve into an intelligent assistant03:24 Tools used to improve communication (spreadsheet, Freeform, etc.)04:44 Spotlight & app drawer comparisons05:05 Clipboard history finally arrives05:35 Vision for OS: executive assistant model06:04 Shortcut “micro-prompt” ideas and automation possibilities07:08 Email needs a rework: current apps aren’t cutting it08:04 Journal Live Actions & iPhone mirroring feedback08:58 Thoughts on intelligent shortcut actions & spotlight triggers09:32 Outro

Apple’s WWDC just dropped a lot of new features—but did they miss the forest for the trees? In this episode, we dive into what was announced, what’s still missing, and where Apple’s headed when it comes to automation, personalised AI, and layered UI. From the unrealised promise of natural language Shortcuts to the potential of a true AI-powered workout coach, this Brainstream breaks it down.TL;DR:Shortcuts still aren't natural language, WatchOS introduces a coach concept, but it's far from personal, and Apple's layering between basic and complex apps still needs an overhaul.👉 Listen to this Brainstream and discover what Apple could do next if they really embraced personalisation and agentic AI.🎧 Listen to Layer[1] on Website, Spotify, YouTube, Apple PodcastsTimestamps:00:00 Missed Stage Manager and Shortcut frustration00:29 Siri Shortcut limitations & missed opportunities01:20 Why natural language Shortcuts matter02:09 The case for agentic Siri + LLM sidebar03:10 WatchOS hands-free navigation03:38 Smart layering between notes and pages04:13 Workout Buddy: potential vs reality05:14 Personalised coaching dream with AI06:08 Tabata playlists, real-time motivation, and coaching tone08:00 What could make the “Workout Buddy” truly smart09:11 Beyond metrics: building a real AI coach

Apple’s WWDC didn’t just show off a new iOS—it hinted at an entirely new direction for how we’ll interact with our devices. From foundation models and voice transcription to a potential LayerOS-style rethink of app flow, this Brainstream dives deep into what’s here, what’s missing, and where Apple could go next.I reflect on past predictions, critique what Apple got right and wrong, and imagine a more fluid, AI-native interface that understands your workflows natively.TL;DR: Apple’s AI features are evolving, but the future is LayerOS—modular, intelligent, and seamless.Listen to Layer[1] on Website, Spotify, YouTube, Apple PodcastsTimestamps:00:00 – Revisiting last year’s predictions00:34 – Voice transcription still lacks accuracy01:46 – Natural language shortcut building is still a dream02:56 – LayerOS-style unified app flows03:22 – Apple Silicon, Metal, and gaming push04:00 – Foundation model access and the “small model” future05:36 – Shortcuts, node-based automation, and infinite canvases08:55 – AI-enhanced routing and live translation09:36 – On-device transcription and APIs

Apple’s WWDC left subtle clues pointing to a major shift: the interface is no longer just flat and functional — it’s becoming physical, emotive, and alive.From liquid glass UI metaphors to camera-based visual intelligence, this Brainstream unpacks what Apple didn’t explicitly say — and what it all means for the future of interaction, accessibility, and space-aware design.Whether it’s how screenshots might evolve into something more dynamic, or how adaptive widgets in the sky point toward contextual computing, this is a brainstorm that blends critique with wonder.TL;DR: Apple’s visual choices hint at a paradigm shift toward physical, expressive, and spatial UIs. Liquid glass and screenshot-based interaction are more than design fluff — they’re the front line of new spatial thinking.👇 Tap into this Brainstream and get ready to reimagine interface design.Listen to Layer[1] on 🌐 Website 🎧 Spotify 📺 YouTube 🍎 Apple PodcastsTimestamps:00:00 – Opening thoughts & FaceTime presenter overlay gripes01:30 – Liquid glass: physics, aesthetics & UI evolution03:00 – Screenshots, refractivity & accessibility trade-offs05:00 – Why liquid glass is more than a gimmick06:00 – Visual intelligence and lock screen widgets08:00 – Frustrations with MixEmoji and Apple’s image gen gap09:00 – Final thoughts on vision and what’s missing

We’re two days post-WWDC, and my brain’s still buzzing. This isn’t a keynote recap — it’s a deep dive into why Apple’s “liquid glass” aesthetic signals something bigger. Think beyond the frosted UI — think spatial interfaces, contextual computing, and the death of the traditional app.What if the era of “learning the tool” is over, and we’re entering a time when tools learn us?I unpack Apple’s slow-burn philosophy, my long-held vision for a post-app world, and why these new design cues are shaping more than just your phone screen — they’re nudging the whole paradigm of computing forward.👉 If you’re interested in how AI agents, spatial design, and user-centric computing collide — this one’s for you.TL;DR (Takeaways)Apple’s UI shift hints at a post-app world, not just visual polish.Liquid Glass = prepping for spatial computing, not skeuomorphic nostalgia.Traditional “tools” are giving way to agents that understand and work for us.This isn’t just design — it’s the architecture of a new computing mindset.Timestamps:00:00 – WWDC: Expectations vs Reality01:22 – TL;DR reaction to Apple’s approach02:26 – Why we didn’t get flashy AI features03:21 – Thoughts on Liquid Glass and accessibility issues04:24 – The move toward spatial interface norms06:03 – Rethinking screen limitations in the real world06:44 – Introducing the post-app world concept07:49 – Agents vs. tools: A paradigm shift08:36 – The new master-slave dynamic in computing09:28 – Liquid Glass: Sci-fi gimmick or visionary leap?10:00 – Wrap-up & coming brainstormListen to Layer[1] → Website, Spotify, YouTube and Apple Podcasts

We’re reaching the limits of app-based creation—and there’s a new vision in town: Layer OS. What if your tools weren’t chosen before you started working, but emerged during the process, adapting as you moved?TL;DRToday’s apps are fragmented silos; LayerOS proposes a fluid, evolving interface.Tools should appear as you work—not force you to choose them upfront.Image and AI workflows are currently too separate; integration is overdue.Multimodal creation and predictive interfaces are the next UI frontier.LayerOS could function like an LLM OS—predicting interface needs instead of next words.In this brainstream, I go deep into the fractured nature of today’s apps and why we need a unified, predictive interface model—where your idea grows, and the interface evolves with it. Think of it like the operating system powered by AI prediction, surfacing tools layer by layer. I also touch on image generation, multimodal workspaces, and how we might finally break free from app silos.Ready to move beyond apps and into layers? Let’s build the future.🎧 Listen to more brainstream of layer[1] now 👇Website, Spotify, YouTube, Apple PodcastsTimestamps:00:00 – Picking up where we left off00:20 – Apple’s presenter mode frustration01:02 – Why apps feel like the wrong tools02:00 – Sketch vs Photoshop: same base, different goals03:50 – The friction of switching tools04:39 – The promise of LayerOS: tool-on-demand05:33 – Why apps don’t speak well to each other06:00 – AI nodes, canvases, and image editing gaps07:03 – Why LayerOS belongs at the OS level08:00 – My learning process: sharing the build live08:34 – Multimodal work & future automation09:10 – How layers could replace apps completely09:35 – Why choosing the right app is broken09:55 – The OS as an LLM that predicts interfaces#LayerOS #FutureOfUI #AugmentedReality #AIInterface #RealityOne #Brainstream #DesignThinking #CreativeTools #SpatialComputing #NoMoreApps

There’s something deeply wrong with how we “work” on computers. Why do we still sit in desks designed for typewriters?TL;DR- Today’s UI is still based on 1980s office metaphors- “Work” no longer happens at desks — ideas strike in hammocks, cars, and showers- LayerOS = infinite canvas, generative UI, conversational AI, asynchronous agents- Paradigm shift: from sandboxed apps to intelligent, context-aware layers- This isn’t about software—it’s about rethinking the foundation of computingIn this raw brainstream, I unpack the limitations of today’s UI and introduce LayerOS — a reimagined operating system where context flows, interfaces evolve, and work is ambient, not static. From infinite canvases to asynchronous assistants and generative UIs, this isn’t a product pitch — it’s a shift in the mental model of computing itself.🚀 If you’ve ever wanted your OS to think with you instead of slowing you down, this one’s for you.👉 Listen in and tell me what you think — where is work heading in your world?Timestamps:00:00 – The flaws in today’s UI paradigm00:21 – Why the desktop metaphor no longer makes sense00:48 – What is work now? Where is it happening?01:40 – Computers should serve us — not vice versa02:33 – Creativity doesn’t happen at the desk03:44 – Asynchronous work and background processing04:29 – Intro to LayerOS and its core ingredients06:05 – Why these ideas keep recurring in Brainstreams07:25 – Bringing theoretical frameworks into design08:16 – The app model is outdated09:33 – Documents, tools, and workflow fluidity09:56 – Final thoughts on an iterative interface future🌐 Listen to layer[1] on Website, Spotify, YouTube, Apple Podcasts#LayerOS #FutureOfWork #GenerativeUI #Brainstream #ConversationalAI #InfiniteCanvas #InterfaceDesign #AIUX #SpatialComputing

What if your computer understood your workflow—before you even told it what to do?We’re moving into a world where AI doesn’t just automate tasks—it thinks like you do. Instead of manually processing workflows, imagine an operating system that learns, adapts, and automates without effort.In this Brainstream, we explore:• 🖥️ Why today’s OS models are outdated• 🔄 How AI-driven workflows eliminate manual work• 🎨 The future of creation: no more friction, just intent-based computingAI isn’t just a tool anymore—it’s a partner in creation. Let’s talk about how we get there. 🎙️👇TLDR:• AI is shifting from automation to true workflow intelligence.• The future OS won’t just react—it will predict and assist.• AI will eliminate repetitive tasks, freeing time for deep work.• Everything will be seamless: no manual processing, just AI-driven intent.• AI will personalise computing for every user, like a digital assistant.Timestamps:00:00 Why every brainstorm sparks more ideas00:18 The meta-purpose of Brainstreams00:52 How ideas evolve over time01:26 The future of AI-powered workflows02:21 Why AI should automate everything03:35 The washing machine analogy: AI as the next tool revolution04:15 How AI will eliminate tedious tasks05:13 The democratisation of automation 06:41 Future interfaces: shifting from “what” to “how”08:22 The need for AI-driven creative workflows09:39 Building the next-gen AI-powered OSListen on:Website, Spotify, YouTube, Apple Podcasts#AI #Automation #FutureOfWork #AIRevolution #Productivity #RealityOne

🚀 What happens when AI replaces apps?The way we interact with computers is about to radically change. We’re moving beyond apps and into a world where AI understands your intent, augments your thinking, and helps you create effortlessly.The graphical user interface was a breakthrough—but now it’s a bottleneck. What comes next?• 💡 AI-powered interfaces that adapt to you.• 🔥 Breaking free from traditional software constraints.• 🎨 A future where creation is limitless.The post-app world is here. How will you use it? Let’s discuss. 🎙️👇TLDR:• AI is replacing traditional apps with fluid, intent-driven interfaces.• The graphical UI revolution democratised computing, but now it limits creativity.• AI-powered systems will be layered, dynamic, and conversational.• Future interfaces will respond to voice, gestures, and intent.• Creation will be effortless—no more struggling with software.Timestamps:00:17 The Evolution of Interfaces: From GUI to AI01:24 The Post-App World: Why Traditional Software is Broken02:33 AI & The Future of Creative Work04:00 Breaking Free from the Constraints of Apps05:14 AI as Your Creative Partner: A New Paradigm07:22 The Future OS: Layers, AI, & Intent-Based Computing08:58 A Conversation-Driven Future: Show & Tell Interfaces09:59 Final Thoughts & The Future of Human-AI InteractionListen on:Website, Spotify, YouTube, Apple Podcasts#AI #FutureOfWork #PostAppWorld #ArtificialIntelligence #Innovation #RealityOne

What happens when AI is smarter than an individual human? Elon Musk and Ray Kurzweil predict that AI will surpass all human intelligence by the year 2049—but before that, it will first surpass you. In this #brainstream, I explore the future of AI as a business partner, creative collaborator, and intelligence that works alongside you.We’re moving away from static interfaces and into a world where AI understands your intent, augments your thinking, and helps you create effortlessly.🚀 How will AI change work, creativity, and human-computer interaction?🎨 What happens when AI removes all barriers to creation?💡 Will AI replace apps with pure, intelligent collaboration?🔊 Listen now and join the discussion! 👇TL;DR• AI is evolving beyond just a tool—it’s becoming an intelligent partner.• The future interface will be conversational, creative, and personalised.• AI will enhance creativity by removing barriers to expression.• The shift from keyboard & screen to voice & intent is coming.• The next-gen AI will work for you, not the other way around.Timestamps:• 00:00 Introduction: AI as Your Personal Intelligence• 01:30 The Evolution of Human-Computer Interaction• 03:00 Why AI is Becoming More Than a Tool• 05:15 Creativity & The Future of Work with AI• 07:00 AI vs Traditional Applications: The Big Shift• 08:45 Mastering AI: How Interfaces Will Disappear• 10:00 Summary & What’s NextListen on:Website, Spotify, YouTube, Apple Podcasts#AI #FutureOfWork #Creativity #ArtificialIntelligence #Technology #Innovation #RealityOne

Are we still designing UIs the old way when the future is already here? In this #brainstream, I explore ‘Show & Tell’—the next evolution of interfaces where AI co-creates with us, replacing static apps with fluid, conversation-driven creation.TL;DR• AI-Driven Interfaces• Show & Tell UI• Conversational Computing• The End of Traditional AppsTimestamps:00:00 Introduction & Why UI Needs to Evolve01:20 Foldable Macs, iPads & The Future of Screens03:10 Why Traditional Interfaces Are Holding Us Back05:00 Show & Tell: A New Interaction Model07:15 AI, Multimodal Inputs & Conversational Creation08:45 From Apps to Fluid, Adaptive UIs9:30 Wrapping Up & Future Thoughts#FutureOfUI #ShowAndTell #AIInterfaces #AugmentedReality #TechEvolution #BrainstreamWhere can I listen to Reality:One?• Website: Reality:One Podcast• Spotify: Reality:One on Spotify• YouTube: Reality:One on YouTube• Apple Podcasts: Reality:One on Apple Podcasts

Apple’s AI revolution is still unfolding. In this Brainstream, we break down what’s missing, what’s coming next, and how automation, Freeform, and personalised UI will reshape how we interact with technology.TL;DR:• Apple AI• Siri & Automation• Freeform• Customisable UIs#AppleAI #Siri #Automation #iOS19 #FutureOfComputing #BrainstreamTimestamps:• 00:00 Introduction & Recap of AI in Apple’s OS• 01:10 What Apple Got Right with AI & Automation• 03:30 Transcripts, Metadata, & The Missing Pieces• 05:50 Alt Images & AI-Generated Descriptions• 07:40 The Future of Apple’s AI-Driven Shortcuts• 10:00 Freeform & The Evolution of Graph-Based Automation• 12:45 Conversational UI: Personalised Siri & Adaptive Interfaces• 13:20 Custom UIs: The Future of Individualised Operating Systems• 14:30 Apple’s Next Steps & What We Expect in iOS 19Links to Podcast Platforms:• Website: ⁠Reality:One Podcast⁠• Spotify: ⁠Reality:One on Spotify⁠• YouTube: ⁠Reality:One on YouTube⁠• Apple Podcasts: ⁠Reality:One on Apple Podcasts⁠

Imagine walking into a security site and instantly seeing an AR replay of last night’s events—without digging through hours of footage. This episode dives into the future of AI-enhanced security and how AR can simplify installations and monitoring.TL;DR• AI in Security• Augmented Reality for Installations• Smart Surveillance• AR + AI Integration Timestamps:00:00 Introduction & Recap of AI in Security00:30 The Role of Augmented Reality in Security Monitoring02:00 AR-Based Event Playback & Situational Awareness03:45 Using AR for Security Camera Installations05:30 Smart AI-Powered Drones for Optimising Camera Placement07:10 AI’s Role in Security: Beyond Simple Alerts09:00 Real-Time Anomaly Detection & Automated Responses11:15 How AR Can Help Visualise Wi-Fi, Bluetooth, & Light Coverage 14:00 The Future of AI & AR in Security & Installations#AISecurity #AugmentedReality #SmartCameras #ARTech #Surveillance #Brainstream

What if your security system wasn’t just recording but actively analysing, responding, and preventing threats in real-time? This episode explores the future of AI-powered security, where software, not just hardware, defines protection.TL;DR• AI-Powered Security• Future of Surveillance• Smart Cameras & Automation• Proactive Threat PreventionTimestamps:• 00:00 Introduction & Security’s Evolution• 00:20 Why Traditional CCTV is Outdated• 01:15 The Future: AI, Computer Vision & Automation• 02:50 The Shift from Hardware to Software in Security• 04:30 Smart Detection: Going Beyond Motion & Face Recognition• 06:15 AI-Driven Security: Learning from Patterns & Anomalies• 08:00 Real-World Examples of AI-Powered Surveillance• 10:45 Autonomous Security Actions: AI Talk-Down & Alerts• 12:30 The Role of Machine Learning in Security Monitoring• 14:30 Why Security Companies Should Embrace AIYou Can Also Listen Here:• Website: Reality:One Podcast• Spotify: Reality:One on Spotify• YouTube: Reality:One on YouTube• Apple Podcasts: Reality:One on Apple Podcasts#AISecurity #ComputerVision #Automation #SurveillanceTech #SmartCameras #Brainstream #ARbyAR #RealityOne

What if you could design buildings that adhere to all regulations and simulate real-world conditions in seconds? In todays brainstream, explore how AI and technology are revolutionising architecture by removing barriers, enhancing creativity, and saving time and money.TLDR; Architecture Evolution AI Design Tools Real-Time Regulation Checks Simplified Building ModelsTimestamps:00:10 - The Intersection of IT and Architecture00:25 - Democratising Design Through AI00:48 - AI in 3D Modelling: From Images to Architecture01:14 - Challenges in Traditional Building Processes01:57 - The Future of Regulation-Driven Design02:47 - How AI Simulates & Solves Design Issues03:57 - Transforming Building Approvals with AI Tools05:06 - Integrating Geolocation and Real-Time Simulations07:00 - Simplified Tools for All Users, Not Just Architects08:31 - Streamlining Design for Cost, Time, and CreativityReality:One PodcastWebsite: https://avrahamraskin.com/podcastSpotify: https://open.spotify.com/show/4HoCMA5XgIo4ZYjPHOeftR?si=8db5d9d710dc4515YouTube: https://www.youtube.com/c/AvrahamRaskin?sub_confirmation=1Apple Podcasts: https://podcasts.apple.com/us/podcast/reality-one/id1662208288

Discover how augmented reality (AR) helps turn visions into reality by allowing creators to visualise and test ideas before they’re built. Explore examples ranging from simple fences to complex projects, where AR bridges imagination and the physical world.TL;DR: Augmented Reality Project Planning Real-World Visualisation Collaboration Tech AR & ConstructionTimestamps:00:00 - Introduction to AR’s Potential for Visualisation00:14 - The Value of Envisioning Future Products00:30 - Why Multiple Screens Are Not the Answer01:16 - Shifting to 3D Experiences with AR02:03 - Small-Scale and Large-Scale Visualisation02:20 - Example of Envisioning Projects with AR03:00 - Challenges in Real-World Project Communication04:16 - Integrating AR for Better Collaboration05:12 - Security Fences: Case Study of Visualisation Issues06:00 - Real-Time Planning Challenges & AR Solutions07:04 - AR’s Role in Real-World Testing09:05 - Future Possibilities with AR and Voice ControlThe Reality:One Podcast:Website: ⁠https://avrahamraskin.com/podcast⁠Spotify: ⁠https://open.spotify.com/show/4HoCMA5XgIo4ZYjPHOeftR?si=8db5d9d710dc4515⁠YouTube: ⁠https://www.youtube.com/c/AvrahamRaskin?sub_confirmation=1⁠Apple Podcasts: ⁠https://podcasts.apple.com/us/podcast/reality-one/id1662208288⁠

Discover how AI is revolutionising security systems, moving beyond cameras and hardware to smart detection, intuitive automation, and contextual responses. See how the future of security evolves with AI, computer vision, and dynamic triggers. TL;DR Security Evolution AI in Security Smart Cameras Automation & Analytics Real-Time AI Systems Timestamps: 00:00 - Welcome & Introduction to Security Focus 00:14 - From Favour to Hobby: Security Evolution Story 00:42 - Realisations on Hardware-Led Security 01:26 - Moving Beyond Cameras & Integrating Systems 02:43 - Peak Quality & Shift to Analytics Focus 03:15 - Night Vision Innovations & Future Needs 04:48 - AI’s Role in Smart Security Systems 05:52 - Smart Detection & Real-World Use Cases 06:52 - Chat-Based AI Commands for Security Systems 08:00 - Future Vision: Contextual, Self-Acting AI Security 09:30 - The Next Steps for AI-Driven Security Links to Podcast Platforms: Website: ⁠https://avrahamraskin.com/podcast⁠ Spotify: ⁠https://open.spotify.com/show/4HoCMA5XgIo4ZYjPHOeftR?si=8db5d9d710dc4515⁠ YouTube: ⁠https://www.youtube.com/c/AvrahamRaskin?sub_confirmation=1⁠ Apple Podcasts: ⁠https://podcasts.apple.com/us/podcast/reality-one/id1662208288⁠

Is Israel ready for a Hyperloop revolution? Today, we explore why the Hyperloop could be a game-changer for Israel, from transforming civilian travel to enhancing military strategy and boosting shipping logistics. Find out how this futuristic technology could reshape the country in ways you never imagined.TLDR; Hyperloop in Israel Futuristic transport Military mobility Shipping innovation Suez Canal alternative Geopolitical strategyTimestamps:00:00 - Introduction to Hyperloop in Israel00:32 - Hyperloop as a Concept and Its Global Status01:03 - Israel’s Geographical Sweet Spot for Hyperloop01:30 - Key Applications: Military, Civilian, and Shipping03:11 - Potential Military Benefits of a Hyperloop System05:00 - Geopolitical and Economic Advantages of Hyperloop06:15 - Alternative Canal to Suez and Strategic Insights08:00 - Cost Considerations and Investment Feasibility09:30 - Future Expansion Possibilities in Israel#Hyperloop #Israel #FutureTransport #MilitaryTech #ShippingLogistics #SuezAlternative

How do we revolutionise education with augmented reality? In this episode, I sit down with Shif Bacha, an educator curious about how AR can transform classrooms. We dive into anatomical holograms, virtual dissections, physics-enhanced gym classes, and even pen-pal windows into classrooms across the world. If you’ve ever wondered what learning would look like if it broke free from textbooks, this is the episode for you.TL;DR: AR makes learning tactile, interactive, and immersive. Dissect a virtual frog, hold a beating heart, or zoom into DNA molecules. Gym class meets physics—see forces and trajectories in real-time. A classroom window into another country—pen pals in AR. What happens when learning extends beyond the classroom into everyday life?Timestamps:[00:00:00] Introduction – Setting the stage for AR in education.[00:03:00] The Augmented Reality Spectrum – From 2D interfaces to a fully interactive world.[00:06:00] Anatomical Holograms & Virtual Dissections – Exploring human biology like never before.[00:10:00] Zooming Into the Microscopic World – DNA, cells, and seeing the unseen.[00:13:30] Science Experiments Without Limits – How AR enables risk-free learning.[00:17:00] Visualising the Invisible – Gravity, electricity, and magnetism in real-time.[00:25:00] Gym Class & Physics – Seeing forces and trajectories while moving.[00:32:00] The Balance Between AR & Risk-Taking – Does AR remove the need to take risks?[00:36:00] Personalised AI Education Assistants – How AR could tailor learning to each student.[00:45:00] Pen-Pal Windows & Global Classrooms – Breaking down cultural and language barriers.[00:48:00] Final Thoughts – The future of education is interactive, immersive, and endless.Find more episodes at pod.arbyar.com

In this Brainstream, Avraham dives into Apple’s latest iOS 18 update and critically analyses how Apple’s AI vision missed the mark. We explore how AI could have transformed the iPhone experience, what Apple got right, and where they fell short. If you’re interested in the future of AI, AR, and personal assistants in technology, this video breaks down the key points you need to know. Question: Do you think Apple is truly harnessing the power of AI, or are they missing out on the bigger picture? TLDR; Hardware vs. Software: Apple’s missed the mark by not integrating powerful software with their hardware innovations. iOS 18’s AI Limitations: Lacks impactful features despite promising potential. The Power of Automation: AI could drastically streamline work, but Apple hasn’t leveraged this fully. Empowering Individuals: AI could enable individuals to perform tasks once requiring teams. Missed Opportunities: iOS 18 didn’t capture the true power of generative AI in its release. Website: Follow Reality:One Podcast Spotify: Listen to Reality:One on Spotify YouTube: Listen to Reality:One on YouTube Apple Podcasts: Listen to Reality:One on Apple Podcasts

Why do companies release augmented reality (AR) devices with interfaces that mainly rely on flat, 2D screen designs? Why do we see floating iPads in a 3D world? Is this laziness or a lack of innovation in current AR solutions? TLDR; Meta released new AR glasses, but they’re not for consumers. Interaction is still reliant on unnatural gestures or accessories. Current AR interfaces are like floating 2D screens in a 3D world. Avraham questions why we haven’t moved beyond flat screen metaphors in AR design. Highlights the limitations and frustrations of existing AR solutions. Calls for a more natural, multi-sensory approach to AR interfaces. Question: Do you think AR will evolve beyond flat screen designs, or are we stuck in this 2D mindset? 00:00 - Introduction 00:34 - My History of Augmented Reality 01:19 - Meta’s New AR Glasses 02:05 - Interaction Modes in AR 03:09 - Holographic Interfaces 04:37 - Apple’s Interface Decisions 06:31 - Limitations of Current AR 08:24 - The Frustration with Floating Screens Links to the Podcast 🔗 Reality:One Podcast 🎧 Listen on Spotify 🎬 Watch on YouTube 🎙️ Available on Apple Podcasts

Exploring the intersection of augmented reality (AR) and education, this Brainstream dives into how AR can transform learning experiences. Discover how AI and AR can bring real-world applications into the classroom, promoting a future where technology enhances, not distracts, our understanding of the world. What excites you most about integrating AR and AI in the Classroom? Are you more drawn to the idea of personalised learning, or do you see the biggest potential in making learning more interactive and global? Let’s discuss in the comments! 🔗 Website: avrahamraskin.com/podcast 🎧 Spotify: Reality:One on Spotify 🎬 YouTube: Reality:One on YouTube 🎙️ Apple Podcasts: Reality:One on Apple Podcasts Timestamps: 00:00 - Introduction - Kicking off the Brainstream and today’s topic. 00:23 - Reality:One Podcast Overview - Discussing Reality:One and its focus on AR and AI. 01:04 - The Power of AR in Education - How AR can merge the digital and physical world in learning. 02:01 - Creating Concept Videos - Recounting your experience making “2025” concept videos. 02:18 - Focusing on Positive Use Cases - How Reality:One serves as “White Mirror.” 02:57 - Exploring the Podcast Recording - A recap of the AR and education discussion. 03:25 - Real-World AR in Education - Examples of AR use cases like anatomical holograms. 04:38 - Breaking Down Barriers with AR - How AR can connect classrooms across the globe. 05:55 - Advanced Forms of Learning with AI - Discussing personalised learning experiences with AI. 07:45 - The Potential and Pitfalls of AR in Education - Recognising both positive and negative aspects. 08:20 - Preview of Reality One Episode 18 - Upcoming topics in your podcast episode. 09:46 - Subconscious Learning through AR - How AR encourages natural learning beyond the classroom. 09:52 - Outro & Final Thoughts - Wrapping up the Brainstream. TLDR; #AugmentedReality #AIinEducation #RealityOnePodcast #FutureOfLearning #WhiteMirror #DigitalTransformation #ClassroomOfTomorrow #PersonalisedLearning #EdTechInnovation

In this Brainstream, I dive into Snapchat’s Spectacles 5 and explore what it means to be truly “camera-first” in augmented reality. We’ll unravel the differences between “true” and “pseudo” AR, how the Spectacles 5’s untethered design is pushing the boundaries, and why visual intelligence is the future of spatial computing. TLDR; Snapchat Spectacles 5: An untethered step towards a camera-first AR future. Camera-First OS: How Snapchat is hinting at a camera-centric operating system approach. True vs Pseudo Augmented Reality: Differentiating between transparent displays vs. passthrough video. Battery Life Challenge: 45-minute lifespan – still a barrier for long-term AR adoption. Visual Intelligence: How AI and computer vision will reshape our interaction with AR. Impact Beyond Entertainment: The potential of AR to enhance reality, not just replace it. Timestamps: [00:00] Introduction to Snapchat Spectacles 5 [01:15] The Concept of Camera-First AR [02:45] True vs Pseudo Augmented Reality Explained [04:30] The 45-Minute Battery Life – A Barrier? [06:10] Visual Intelligence & Its Role in AR [08:20] Potential Beyond Entertainment [09:40] Conclusion: Where AR is Heading

Join me as we explore Apple’s latest push into AI-driven biometrics and how it could redefine health tracking and personal assistants. What does this mean for the future? Let’s discuss. TLDR; Apple’s new biometrics: AirPods as hearing aids and 24/7 health trackers. AI meets health: Personalized health monitoring through wearables. Privacy concerns: What happens when devices are always listening? Proactive healthcare: The shift from reactive to preventative health. Future of personal assistants: Always-on, AI-powered assistants working seamlessly. Timestamps: 00:00 - Apple’s AI and Biometrics 00:34 - AirPods and 24/7 Monitoring 02:00 - The Future of Biometrics and Privacy Concerns 04:00 - Predicting the Evolution of Apple’s Wearables 06:30 - Personalised Health Insights through Biometrics 08:30 - Journaling and Biometrics: Combining Data for Health Predictions #AppleAI #Biometrics #HealthTech #Wearables #FutureComputing

In this brainstream, we dive into the future of AirPods, biometrics, and the role of personal assistants. Discover how wearable tech could change healthcare and productivity forever. Get ready for a deep dive into how AirPods will go beyond sound to revolutionise your daily life. Timestamps: [00:00] Introduction [01:06] Always-On Devices [03:00] Biometrics and Tracking [04:12] Revolutionising Healthcare [06:30] Wearable Tech & Nutrition [09:00] Future of AirPods #BiometricsInWearables #AirPodsFutureTech #AIAndHealthcare #WearableAI #FutureOfProductivity

Apple has just made hearing aids more accessible with the AirPods Pro 2! Discover how this breakthrough technology is set to change healthcare, making hearing tests as easy as pressing a button. Timestamps: 00:00 - Introduction: Overview of AirPods Pro 2 00:05 - Hearing Aid Feature: FDA Approval and Details 02:20 - New Hearing Test Integration: Easier and More Accessible 04:00 - Comparison: AirPods vs Traditional Hearing Aids 06:15 - Potential Stigma Reduction: AirPods as a Universal Device 08:05 - Future Potential: What Comes Next in Healthcare and Devices 09:30 - Closing Thoughts: AirPods’ Place in Personal Health Tech #AirPodsPro2 #HearingAids #AppleHealthcare #AI #AssistiveTech #FutureTech

Is Apple’s AI where it needs to be? In this brainstream, I break down why Apple’s AI still feels half-baked, despite some breadcrumbs of potential. From visual intelligence to mobile AR, I explore the limitations, missed opportunities, and what the future could hold for a true AI-driven experience. TLDR; Apple’s AI feels half-baked but shows potential. AI should be hands-free and always available. Dedicated camera features can revolutionise photo capture. Visual intelligence has AR potential but lacks integration. AI summaries could transform workflows and productivity. 0:00 - Apple Intelligence: Half-Baked or Game-Changing? 1:15 - AI & Mobile AR: Does It Fit? 2:40 - Visual Intelligence & Quick Capture Features 4:00 - Visual Lookup & Augmented Reality Potential 5:20 - Genmoji & AI-Generated Content 6:45 - AI Summaries & Workflow Automation ( 8:15) 8:15 - Siri’s Missed Potential & The Need for Real Conversation Question: What feature would you want to see Apple add to Siri or their AI next? Drop your ideas in the comments! #AppleAI #AugmentedReality #ArtificialIntelligence #FutureTech #VisualIntelligence #AIAutomation #Siri

Can your AirPods do more than play music? Dive into Apple’s newest innovations where hearing aids and healthcare meet the convenience of consumer tech. We also explore the iPhone 16’s push into augmented reality. TLDR; AirPods as hearing aids: Clinical grade in your pocket Proactive healthcare: Testing from home Visual Intelligence & AR: The next wave in iPhone 16 Camera-first devices: Apple’s AR play Micro animations: Subtle design brilliance Timestamps: 0:00 - Intro & Hearing Aid Recap 0:40 - AirPods & Hearing Aid Technology 2:00 - Destigmatising Hearing Aids with AirPods 3:05 - Apple’s Approach to Healthcare Technology 4:20 - Cost & Impact on Developing Countries 5:25 - iPhone 16 & Visual Intelligence 6:45 - Augmented Reality & Mobile Devices 8:00 - Closing Remarks & Future Innovations #AirPods #HearingAid #ProactiveHealthcare #AppleInnovation #iPhone16 #iPhone16Pro #AugmentedReality #VisualSearch #FutureTech

Apple’s latest Keynote event wasn’t just about the iPhone – it’s a shift in how AI and AR are pushing health tech forward. Hear my thoughts on their new approach to wearables, hearing aids, and health tracking. Question: How do you feel about Apple’s push into health tech? Let me know in the comments! Timestamps 0:00 – Intro & Overview of Apple Keynote 1:10 – Thoughts on Apple Watch: New Design & Health Focus 3:25 – Charging Frustrations & the Future of Wireless Power 5:00 – AirPods: Hearing Tech & Fashion Revolution 7:40 – AI and Health Tracking: Proactive vs. Reactive Health 9:30 – What’s Next? Digital Prescriptions & AR Integration #AppleKeynote #AIHealthTech #AugmentedReality #Wearables #HearingAidsRevolution

In today's episode, we dive into the future of augmented reality and how it could transform everyday objects into powerful interfaces. Avraham and guest Yossi Loloyan explore the potential of connecting non-smart items, like salt shakers or plants, to control smart devices in a seamless and futuristic way. Curious about how your world could become more interactive? Tune in for an exciting journey into the possibilities of AR! TLDR; Connect non-smart items to control devices AR’s potential in everyday life Future of smart homes and interfaces Timestamps: [00:00] Intro & Episode Overview [03:07] The Future of Non-Smart Devices [05:55] Smart Ovens and Augmented Reality [10:04] Using Computer Vision to Bridge Devices [12:25] Real-World Interfaces for AR [15:34] AR Controls in Cars [33:00] Making the Real World an AR Interface [46:00] Wrap Up

Imagine a world where technology adapts to you, not the other way around. In this brainstream, we explore LayerOS—a fluid, conversational interface that builds your digital experience layer by layer. Timestamps: 00:00 - Introduction to LayerOS 02:30 - Inspiration Behind LayerOS 05:00 - Moving Beyond Traditional Apps 07:15 - The Power of Conversational Interfaces 09:45 - The Future of Human-Computer Interaction TLDR; #LayerOS #ConversationalUI #FutureOfTech #HumanComputerInteraction #DigitalTransformation “Layers” is your daily dose of future-focused thinking. Each video is a quick dive into the emerging ideas and technologies that are shaping tomorrow’s world. We’re not just talking about what’s new; we’re building something bigger—layer by layer. From the speculative to the scientifically grounded, these brainstreams are about exploring the infinite possibilities of the future. If you love thought-provoking content that pushes the boundaries of what’s possible, you’re in the right place. CTA: Enjoying these short brainstreams? Dive deeper into the future with my podcast Reality:One, where I explore the practical use cases of augmented reality and more. Join the conversation, share your thoughts, and let’s keep building together. ☞ https://avrahamrask.in/podcast

I delve into the innovative design of LayerOS, focusing on how 2D layers can create more intuitive 3D interfaces. Learn how this approach can revolutionise augmented reality and user interactions. Stay tuned for more insights on the future of computing!

What does the operating system of tomorrow look like? In this brainstorm, we dive into the future of computing, where voice takes centre stage alongside vision. From LayerOS to conversational UIs, discover how your interactions with devices will evolve. TLDR; Voice and vision will dominate future interfaces. LayerOS and conversational UI are game-changers. Multimodal interactions will redefine user experiences. #FutureOfComputing #VoiceTechnology #LayerOS #AIInterface #ConversationalUI

In this Brainstream, we dive into Apple’s latest iOS animations, the potential of Siri, and the future of augmented reality. Learn how ‘Teach Me Mode’ could revolutionise your personal assistant experience. Timestamps: 00:00 - Intro: Welcome back to another Brainstream 00:30 - iOS 18 Animations: Who’s Apple’s new animator? The amazing new animations and how they’re changing the game. 02:45 - Siri’s Evolution: Exploring the latest Siri animations and how they enhance user interaction. 05:30 - Teach Me Mode: A new way to create powerful automations—imagine Siri learning from your actions. 08:15 - The Future of Automation: Discussing the potential of voice-activated automation and its impact on UI/UX. 12:00 - True vs. Pseudo Augmented Reality: The debate between optical and pass-through AR, and what’s next for Apple’s Vision Pro. 15:30 - Synchronising Devices: How Apple could improve device integration and file sharing. 18:45 - Visual vs. Voice UI: The strengths and weaknesses of visual and voice interfaces, and the vision for LayerOS. 21:00 - Conclusion: Wrapping up thoughts on iOS animations, augmented reality, and what’s to come. TLDR; 🔥 Stunning new iOS 18 animations 🤖 Siri’s evolution & Teach Me Mode 🌐 True vs. Pseudo Augmented Reality 🔄 Improved device integration 💬 The future of visual & voice UI #iOS18 #Siri #AugmentedReality #AppleVisionPro #TeachMeMode #Automation #TechFuture

Imagine a world where your computer’s interface evolves with your needs, where apps are no longer standalone entities, but layers that build up to form your ideal workspace. Welcome to the future of LayerOS. TLDR; Transition from traditional apps to a layered operating system that adapts to the user’s needs. Timestamps: 01:30 - Exploring the Future of Operating Systems 04:15 - The Problem with Traditional Apps 07:00 - Introducing Layer OS Concept 09:45 - How Layers Transform the User Interface 12:30 - Customising Interfaces for the User 15:00 - The Vision of a Post-App World #LayerOS #FutureOfComputing #PostAppWorld #AI #SpatialComputing Question: What feature do you wish your computer’s operating system could customise for you?

What if the future of computing wasn’t about choosing the right app but building the right experience? Join me as I explore the concept of Layer OS—a new way to think about digital interaction, inspired by the simplicity of old-school projectors and the complexity of modern needs. Timestamps: 00:00 – Introduction: Beyond Websites & AI 01:15 – The Problem with Apps Today 05:45 – The Concept of 3Ps: Personal, Private, Public 07:30 – Inspiration from the Overhead Projector 10:15 – The Post-App World: LayerOS Vision 15:00 – Challenges with App Loyalty and Features 18:45 – Creating, Not Choosing: The Future of OS 22:30 – Final Thoughts & What’s Next #LayerOS #PostAppEra #OperatingSystem #TechInnovation #FutureOfComputing “What feature do you wish all apps had in common?”

Dive into the future of computing where AI becomes your digital twin. Discover how personal systems may evolve to mirror your every need, blending AI and human interaction in a seamless, futuristic experience. Timestamps: 00:00 - Introduction to Brainstream 01:20 - The Evolution of Personal Systems 03:45 - Conversations That Inspire Innovation 07:15 - AI and the Future of Operating Systems 10:30 - The Power of Voice and AI Integration 14:00 - A Digital Twin: Your Future Self 18:40 - The Future Beyond the Desktop Metaphor 22:00 - Closing Thoughts: Building a World of Abundance #FutureOfComputing #AI #DigitalTwin #PersonalSystems #Brainstream “How do you feel about AI becoming an integral part of your daily life?”

What lies beyond the desktop metaphor? Join us as we explore the evolution of operating systems with LayerOS and the radical shifts in how we might interact with technology. TLDR; Exploring the future of operating systems beyond desktops. Introducing LayerOS as a new paradigm. AI and voice assistants as key players in the next OS revolution. Timestamps: 00:00 - Introduction: Setting the stage for the discussion. 01:30 - The Concept of LayerOS: Overview of LayerOS and its vision. 03:45 - MercuryOS and AI Integration: Exploring Mercury OS and its relationship with AI. 06:20 - Beyond the Desktop: New Paradigms: Discussing the shift from traditional interfaces. 10:00 - Challenges and Current Iterations: Evaluating existing solutions like Vision Pro. 14:15 - Voice Assistants and the Future: The role of voice in the next OS. 17:40 - Conclusion: Wrapping up and looking ahead. #LayerOS #FutureOfComputing #AIInterfaces #OperatingSystems #TechInnovation