Join me on an exciting AI journey! Each week, I'll share the latest tools, thrilling experiments, and fascinating insights. Don't miss this adventure!

🔧 Three Tools I’m Testing

🌐 Dia - New AI-based browser from the The Browser Company. So far, I like it; I’ve used the AI chat features just a bit, so far. I am looking forward to continuing to test it. I’ll make it my default browser on my laptop for a little while.

💹 Perplexity Finance - Finance website from Perplexity to compete with the Google Finances of the world. It’s solid, but I need to test out the research capabilities.

🧑🏼‍💻Gemini 2.5 Pro Preview - Solid new model from Google. Google is on fire lately with their models. Using this model for coding at this time. 

🧪 AI Experiment of The Week

I’ve been slowly working on a background project to build a landing page/microsite that compares Losant’s platform to other IoT platforms in the space. I’m obviously biased, but I believe we compare very well against all of the ones on the market. 

This began with asking Manus to create comparisons of Losant versus a wide range of other platforms based on various criteria that I provided. This output generated several markdown files containing the relevant information. Next up was building the microsite. I went to Google AI Studio. Provided the following prompt:

let's create an interactive web page that compares iot platforms, specifically the page is to show the advantages of Losant. A table showing the differences and an in interactive piece to select multiple and compare them with additional context included

Along with the prompt, I added the files from Manus. The combination provided a nice little HTML page that works how I’d envision it. It needs to be ported into Hubspot for our CMS, but it’s a great start.

I’ll refine this a bit and push it out to be used in some new campaigns going forward.

📰 Article of The Week

In "The Gentle Singularity," Sam Altman argues that we've already crossed the event horizon into an AI-driven transformation that's surprisingly ordinary. Despite having systems that are smarter than humans in many ways, life still feels remarkably normal. There are no robot butlers. We still get sick. Space travel remains elusive. Yet beneath this surface normalcy, Altman sees the foundation of a profound shift: AI agents doing real cognitive work in 2025, systems discovering novel insights by 2026, and physical robots tackling real-world tasks by 2027. He envisions a future where intelligence becomes as cheap as electricity, where recursive self-improvement creates exponential progress, and where the 2030s bring abundance in the two fundamental limiters of human progress: intelligence and energy.

What's brilliant about Altman's framing is how he captures the paradox we're living through. A technological revolution that feels both earth-shattering and mundane simultaneously. His observation that "wonders become routine, and then table stakes" perfectly describes our current moment. We went from being amazed that ChatGPT could write coherent paragraphs to expecting it to solve complex coding problems in mere months. This isn't just about AI capabilities. We're remarkably good at normalizing the extraordinary, which might be our secret weapon for navigating what should theoretically be an incomprehensible transition. The "gentle" part of his gentle singularity isn't about the technology being soft. It's about our capacity to absorb radical change without losing our fundamental humanity.

Perhaps the most overlooked aspect of Altman's vision is his emphasis on self-reinforcing physical infrastructure. While everyone debates whether AI will replace jobs, he's pointing toward something more revolutionary. AI systems that can build the infrastructure to support better AI systems. This isn't just about software recursively improving software. It's about robots building chip fabs, which produce better chips, which power smarter robots. The economics here are staggering. If the cost of intelligence truly converges toward the cost of electricity, we're not just talking about better chatbots. We're discussing the restructuring of the entire foundation of economic value. The transition from scarcity-based to abundance-based economics doesn't happen gradually. It's more like a phase change in physics, where everything suddenly operates under different rules.

🌎 Where the World is Going

We're standing at the edge of a healthcare revolution that will unfold gradually and then strike us like lightning. AI systems aren't just coming for medicine. They are about to become every doctor's second brain, and the implications are monumental.

Right now, we're in the deceptive calm before the storm. Emergency rooms still rely on fax machines; doctors are overwhelmed by paperwork, and obtaining a specialist's opinion in rural America often means a three-hour drive and a month-long wait. But beneath the surface, something extraordinary is brewing. AI systems are quietly learning to recognize patterns in medical data that even experienced physicians might miss, processing vast libraries of symptoms, treatments, and outcomes that no human brain could possibly hold.

I’m excited by what this could mean for the democratization of medicine. My mother fought cancer in rural Kentucky, where the nearest premium oncology center felt like another world away. Imagine if her local doctor had access to an AI system trained on millions of cancer cases, one that could spot subtle patterns in her symptoms and suggest treatment paths that previously required a team of specialists. That small-town physician suddenly has the diagnostic firepower of Johns Hopkins sitting right there in the exam room.

This isn't about replacing doctors. It is about amplifying their capabilities in ways we're only beginning to grasp. When an AI can instantly cross-reference a patient's genetic profile, environmental factors, family history, and real-time biomarkers, it's like giving physicians X-ray vision into our health stories. The doctor still makes the call and still provides the human touch, but now they're armed with insights that would have taken hours of research and consultation to uncover.

The timeline feels familiar if you've watched other tech revolutions unfold. Slow adoption for the next few years as we work through regulatory hurdles and integration challenges. Then, once the infrastructure catches up and liability concerns get sorted out, it'll be like watching the internet happen all over again. The gap between having access to world-class medical intelligence and being stuck with whatever expertise happens to be available in your zip code is about to disappear forever.

👨‍💻 About Me

🔗 Extra Links to Check Out

• Congress pushing to ban state AI laws 🇺🇸

• EU AI Act 🇪🇺