A major segment of the podcast was dedicated to a hands-on review of the Acer Googlebook 14. While Jon and I agreed that the $899 hardware, display, and keyboard are top-notch, the Googlebook OS currently behaves like an early beta release. I walked through several software headaches, including Chrome browser crashes, fillable PDF form fields disappearing during printing (requiring printing on a MacBook Neo instead), graphical Linux applications like Audacity failing to launch, and file syncing quirks in OneDrive. Despite these early adopter bugs, the hardware remains promising with the expectation that  Google continues to refine the platform.

Don provided an enterprise perspective on Windows updates and Surface Pro ARM devices, detailing Microsoft's chaotic September "patch palooza" where over 900 fixes broke Remote Desktop Protocol (RDP) functionality and an Alberta timezone preview caused application timing errors. He also explained why enterprise adoption of ARM Surface Pros remains slow due to driver-level incompatibilities with VPNs and security software. We wrapped up with two clever hardware and software hacks from Jon: securing a legitimate Windows 11 Pro license for $7.49 via Groupon for a virtual machine on his M4 MacBook Pro, and using an Uptab adapter recommended by ChatGPT to revive a 2010 27-inch Apple Cinema Display with single-cable USB-C power delivery.

Our AI software discussion focused on practical workflows and new feature rollouts. I highlighted getting access to Google Notebook's live voice chat on mobile, while Jon shared how he trained his Gemini notebook to generate complete clinical psychology course packages—including MARP slide decks, case study vignettes, and facilitator guides. We also looked ahead to the "rambler" speech cleanup tool built into Googlebook OS and considered Meta's new announcements, including why someone would want a camera-free Ray-Ban audio glasses designed for environmental transparency (instead of just using earbuds with an AI service on a paired phone) and the pocket-sized Muse Charm personal AI device.

We finished up with a discussion of mobile phone network resilience and multi-device service plans. Sven detailed his experience configuring dual eSIMs on Pixel phones to run Google Fi alongside T-Mobile, as well as signing up for the Apple Care Family plan ($49.99/month) to cover 18 devices across his household. I reflected on my reliance on AT&T’s satellite SOS texting during a recent 46.5-hour local power outage which resulted in AT&T wireless service being severely degraded or completely unavailable for several days.

Apple's latest hardware lineup was up next as I shared my experience with the new Apple Watch Series 12 with its included magnetic band and the iPhone 18 Pro, highlighting its identical 4x optical zoom compared to the 5x available in the older 15 Pro Max model. Sven shared his purchases of the Apple Watch Ultra 4, AirPods 5, and an iPhone 18 Pro XL for his wife, while Jon showcased his Apple Watch Ultra 4 with its flexible translucent ocean band and custom ChatGPT-designed watch faces. On the software side, I praised iOS 27's video frame extraction tool and custom EQ settings on AirPods Pro 3, while Sven noted Google's "made you look" external animation feature for entertaining children during photography on foldables.

We then learned about the extensive development and accessibility update that Jon and his AI developer assistants made for his Podium classroom platform, completing a real VPS deployment spanning 88 commits and 91,000 lines across 115 files that added live polls, an audio mixer, and ambient pre-lecture music with Claude acting as a virtual sysadmin. We also touched on cellular options, comparing a secondary $10 Google Fi data line with AT&T's unrestricted roaming in Mexico. Finally, Sven highlighted Meta's initiative providing free Ray-Ban AI glasses to blind veterans to read notes and select clothing, leading into a discussion on AR glasses featuring built-in diopter adjustments for prescription-free use.

Our software discussion touched on a mix of AI productivity, weather tracking, and backup systems. While monitoring the "hockey-stick" path of tropical storm Lowell south of Hawaii and Karina to the north of Hawaii, I’ve been using Google DeepMind’s Weather Lab using the new "Weather Next 3" model, paired with twice-daily automated reports from Google Spark. In other AI workflows, I’ve been testing Google Pics (an evolution of Nano Banana), which lets users directly edit text and select objects inside AI-generated images, while Jon has been using MARP (Markdown Presentation Ecosystem) to convert Markdown into presentations. We also noted that Windows 10 and 11 now enable automatic cloud backup by default, prompting us to reminisce about our days as mobile MVPs in the early 2000s when Microsoft resisted our pleas to make cloud syncing the default standard.

We wrapped up with predictions for Apple’s September 9th event, which is on a Wednesday this year instead of a Tuesday. Because September 11th falls on a Friday, we speculate that Apple might shift pre-orders to Saturday. Between the rumored foldable iPhone, Watch Series 12, Watch Ultra 4, and AirPods 5, we debated our upgrade paths. I’m particularly interested in the Watch Series 12 as my 15 Pro battery degrades, but the lack of a telephoto lens on the rumored foldable iPhone is a dealbreaker. However, a rumored iOS 27 feature called "iPhone Handoff" might seamlessly share a single phone number across two devices—a "diabolical" strategy that might just force enthusiasts to buy both a single-screen Pro and a foldable.

The main discussion was my observations and rants dealing with the effects (1st world problems) of Hurricane Lala, which was downgraded to a tropical storm as it passed south of Oahu. While our immediate neighborhood was spared major damage, we experienced an annoying 45.5-hour power outage that instantly killed our wired broadband and degraded local cellular towers. Prior to the storm, I successfully experimented with Google Spark to aggregate emergency updates, but once offline, my only communication lifeline was Apple’s satellite messaging service to stay in touch with Jon and my daughter. While the service worked brilliantly, Jon and I strongly criticized Apple's UI design for hiding the satellite settings until a crisis occurs, which prevents users from familiarizing themselves with the interface beforehand.

My experience with utilities recovery highlighted a massive gap in customer service "situational awareness". I spent days dealing with AT&T and Spectrum customer service representatives who claimed our services were fully active when hundreds of households in our neighborhood were entirely offline. Jon and I agreed that this is a prime use case for AI coordination. Spectrum, in particular, could have resolved problems if it had what I call an Omniscient AI Analyst monitoring incoming service calls and comparing it to declared operational status. In this case, after one of my neighbors was able to escalate a call to a tier 1 technician, it appears that a service call about a mile away had restore service to at least one customer resulting in the entire region being listed fully online. This resulted in a truck roll late at night (kudos to Spectrum for this) that restored service to our area in a few hours.

Related to this AI Analyst concept, Jon recently tested ChatGPT's Codex as a virtual systems administrator on a VPS, finding it incredibly diligent at running backups, simulating disaster recoveries, and analyzing server logs. When traditional digital networks failed us, our most reliable source of hyper-local road conditions and safety information turned out to be our neighborhood postal worker, proving that low-tech human networks still trump broken infrastructure during emergencies.

We finished up the episode with a look at new hardware and physical ergonomics. Jon evaluated the Clicks physical keyboard for the iPhone, praising its build quality but admitting his thumb-typing speed has naturally declined in favor of on-screen typing over the last 15 years. I shared who I made an uncomfortable "ergonomic" split keyboard actually comfortable, I bought inexpensive plastic "laptop feet" to give the keyboard a 15-degree lift on its rear side, and I’m eagerly awaiting a bioluminescent keyboard skin to make the low-contrast keys of my MacBook Neo visible in dim light.

Our thoughts go out to those on the Big Island and other areas who suffered severe losses and who are still dealing with power and water outages a week after the storm. We hope to have our friend Sven Johannsen back on the show next week to talk about his latest hardware purchases.

We also spent time talking through the practical realities and failures of current AI tools, including Mike's experience using Microsoft Copilot for employee performance reviews and how it struggles to trace back to its original email sources. From there, our conversation turned to the evolving mobile hardware landscape. We compared our current daily devices—including Mike's experience with the Samsung Galaxy S24 Plus and Galaxy Tab S11 Ultra—and weighed in on the upcoming hardware trends, from memory constraints forcing developers back toward code efficiency to what we hope to see from Apple's eventual entrance into the foldable market.

It was a great, wide-ranging discussion covering everything from 6502 assembly language programming on the Apple II to modern Gemini Spark agents automating my daily tech news briefs. 

We wrapped up with a promise not to wait another decade before the next chat, with plans to reconnect around Canadian Thanksgiving in October. Check out the full episode video and transcript to hear all the details!

I noted my initial experience using Google Spark, an autonomous personal AI agent that recently rolled out to Google AI Pro subscribers. This capability was once restricted to the much more expensive Google AI Ultra tier. In my test, I instructed Spark to review the extensive archive of past MobileViews Podcast show notes alongside current technology news platforms. Utilizing the recurring themes from our previous episodes, the agent generates a compiled tech news digest daily at 6:00 PM US Eastern Time, aligning with the conclusion of the standard workday.

A major topic was Jason’s journey into "vibe coding". While initially hesitant, he used AI to build a custom Tampermonkey script that saved his team over 150,000 manual clicks by streamlining a web form. He later used AI to develop a Mac OS tool called "File Time Travel" to fix frustrating video timestamp metadata issues in Google Photos—a highly specific problem that software developers have not addressed. We discussed how AI flips the traditional learning curve on its head, empowering non-developers to create deeply personal, single-purpose software solutions.

We wrapped up by exploring the power of voice-as-input for AI. Jason has been using Whisper Flow, an LLM-powered speech-to-text tool that finally fulfills the broken promises of old software like Dragon Dictate by actually understanding conversational context and complex names. This allows for "ramble coding"—speaking massive, context-rich prompts directly into the AI to generate much better code and outputs. Of course, the AI revolution isn't without its hilariously frustrating bumps; we swapped stories about AI hallucinations, from Microsoft Copilot completely fabricating Yellowstone episode descriptions.

The core of Jon’s summer project was migrating away from the Day One journaling app to avoid its $25 yearly fee and proprietary cloud storage. Using ChatGPT and Codex, he generated scripts to convert his Day One JSON export into future-proof Markdown files managed within an Obsidian vault. He then successfully replicated Day One's best features, using Apple Shortcuts and Python to ingest text snippets, process daily photos, perform offline audio transcriptions, and even selectively transcode video files larger than 25MB down to mobile-friendly sizes.

Expanding his DIY software suite, Jon also automated his personal relationship management and location tracking. He built a script that "interviews" him weekly to automatically update his self-hosted Monica CRM and Obsidian vault with details about his interactions with family and friends. Furthermore, to reclaim his travel history after Google restricted the web version of Google Maps Timeline, Jon coded a tool to parse his device's local JSON location data into detailed, daily Markdown travel logs. With his self-hosted documentation ecosystem fully functional, Jon is taking it on the road for late-summer travel and will return to the podcast in mid-August.

The core of our conversation focused on the profound impact AI is having on higher education and course design. Jon noted that as AI companies merge their tools—such as integrating Codex directly into the ChatGPT Mac app—automation is becoming much more holistic. He detailed his new workflow for building his clinical psychology and statistics courses, using AI to spot curriculum blind spots, draft syllabi, and suggest relevant journal articles. Most impressively, he now uses Codex to automate the tedious administrative "grunt work" of building modules and formatting links directly inside the Canvas learning management system, freeing him up to focus on transitioning his classes toward project-based learning rather than traditional exams.

We wrapped up the episode with a discussion on the psychological trap of having a dedicated "tech budget". We agreed that it is too easy to buy devices just because the funds are available, leading to cognitive dissonance when you feel forced to use hardware you don't actually need. Instead of buying minor upgrades, Jon is actively saving his budget for the rumored foldable iPhone that might be announced later this year.

I shared my frustrations with Microsoft Copilot, which is rapidly burning through my AI credits just for using basic OneNote features like syncing handwritten notes. This has pushed me to experiment with Obsidian and the Excalidraw plugin as a potential offline alternative for my e-ink tablet. We also touched on Windows, discussing the new Cloud Rebuild feature in the Windows 11 preview. Don shared his success in reviving an older 2019 Samsung Galaxy Book with a simple Windows 11 reset, a timely win given that skyrocketing RAM and SSD prices continue to make budget-friendly options like the MacBook Neo incredibly appealing.

Finally, Don provided a deep dive into the complex world of Microsoft Enterprise Licensing. He explained how Microsoft is rolling features from its struggling Intune suite into its standard E3 and E5 licenses while simultaneously pushing price increases. Most notably, they have introduced a new E7 license—which Don jokingly called the "mother of all licenses"—that includes high-end Copilot agent features for a staggering $99 per user per month. We closed out with a look at how these price hikes, including those for non-profit organizations, are forcing IT departments to carefully rethink how they assign user licenses across their organizations.

Jon, meanwhile, has been putting two impressive new hardware gadgets through their paces. He’s been testing the Insta360 Luna Ultra, a gimbal camera featuring a clever detachable screen that doubles as a remote control, allowing him to film himself while managing tracking and settings from a distance. He also showcased the Kodak Zink Slim Printer, a pocket-sized device that creates color adhesive stickers using zero-ink, heat-sensitive paper—perfect for adding instant color photos to a physical journal. While these gadgets provide plenty of utility, the broader tech landscape is facing a sobering shift: AI-driven demand for components is causing shortages in RAM and SSDs, leading to significant price hikes for devices like the MacBook Neo, which is expected to jump in price from $599 to $699.

Jon shared a major shift in his productivity workflow by moving to Obsidian, a "Swiss Army knife" of note-taking. By using Codex to convert 20 years of WordPress entries and Day One journals into Markdown files, he has created a future-proof, portable "vault" that avoids proprietary databases. We also discussed the release of Android 17, which introduced an interesting "Screen Reactions" overlay feature but also caused frustration by resetting permissions for tablet casting and photo galleries.

To wrap up, Jon provided a field report on his DJI Neo 2 drone, which successfully tracked him during a 20mph e-bike ride. Despite suffering its first high-speed crash into a tree, the lightweight drone proved remarkably durable, surviving the impact with no visible damage. We also touched on a few tech trends, including Gen Z's growing rejection of Silicon Valley's vision in favor of "dumb" tech like flip phones and repaired iPods

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.

A major theme of this episode was the shifting economic reality of AI. Don, ever the healthy skeptic, compared the current AI hype to the dot-com bust and the "magic math" of non-GAAP reporting. We discussed the "tokens vs. humans" trade-off, noting that as companies like Google and OpenAI move toward token-based pricing, the cost of farming out thinking to AI may soon exceed the cost of hiring a human. I’ve been finding ways to outsmart these limits by using standard LLMs to "interview" me and generate highly efficient Codex prompts, which usually get the job done on the first try.

We also tackled some serious infrastructure and software headaches. I’m currently dealing with expiring Secure Boot certificates on some of my no-name PC boxes—a situation Don rightly called a "mismanaged" disaster on Microsoft's part, given the lack of clear documentation and the bugs causing BitLocker prompts. On a more positive note, my 8GB MacBook Neo continues to impress me with its efficiency, proving that tight optimization can often trump raw specs. We wrapped up with a look at the future of Nvidia ARM-based processors for Windows and a strange sighting during my daily walk: a fiber optic cable hanging at neck height between utility poles, a reminder that even high-tech infrastructure can have very physical (and dangerous) failures

On the software and AI front, we looked ahead to Android 17 and its new "Rambler" feature for Gboard, which uses AI to filter out "ums" and "ahs" from voice transcriptions. I shared my experience with Gemini Pro’s voice cloning, which was "scary good" at mimicking my voice with minimal training, while Frank voiced skepticism about Wear OS 7 replacing tiles with widgets, fearing it's a step backward for round-screen usability. The episode also served as a warning about the dangers of auto-updates; Jon shared how a Ubiquiti router update broke his HomeKit setup—requiring an SSH command to fix—and I recounted a corrupt OneDrive for Mac update that forced me to roll back to its previous version using Time Machine.

We wrapped up with a demonstration from Sven, who demonstrated his new Pixel Fold 10's unique feature in Google Meet that allows for a split-view using the front and back cameras simultaneously. This "double-vision" mode allows a caller to show their face while also providing a high-resolution view of their surroundings, which we agreed would be a game-changer for remote tech support or traveling. d there is still plenty of innovation happening in the Android ecosystem.