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Thoughts on Tech & Things

Jason Michael Perry

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  1. Are Smart Glasses the Next Smartphone?

    Host Jason Michael Perry sits down with Will Gee, founder and CEO of Balti Virtual, to unpack the mixed-reality moment: the sudden wave of headsets and AI-powered glasses from Meta, Apple, Samsung, and Amazon.

    They talk about the roadblocks still ahead, the social stigma left over from Google Glass, and what it might take for wearables to truly replace the smartphone. Along the way, Will shares his perspective as an early XR pioneer building creative and practical applications for this new wave of immersive technology.

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    Credits

    Thanks to the team at WYPR, producer Sam Bermas-Dawes, and Myrna Martinez, Head of Operations and Marketing at PerryLabs.

    Are Smart Glasses the Next Smartphone?
    Host Jason Michael Perry sits down with Will Gee, founder and CEO of Balti Virtual, to unpack the mixed-reality moment: the sudden wave of headsets and AI-powered glasses from Meta, Apple, Samsung, and Amazon.

  2. Not All Citations Can Be Trusted

    If you’re not familiar with the term “hallucination,” it’s what happens when an AI confidently gives you an answer… that’s completely made up. It might sound convincing. It might even cite a source. But sometimes, a quick Google search is all it takes to realize that study, case, or quote never existed.

    That’s the scary part. And it’s not going away.

    In fact, hallucinations are getting worse, not better. And the bigger issue is that AI is now quietly woven into the background of nearly everything we read: articles, presentations, reports, sometimes even court filings.

    That’s why I think we’ll start seeing a shift where citations aren’t just taken at face value anymore. Judges, editors, and program officers need to start asking: “Did you actually check this, is this citation real?”

    The good news? There’s a growing wave of tools designed to help with exactly that:

    • Sourcely scans your writing and suggests credible, traceable sources, or flags weak ones that don’t hold up.
    • Scite Assistant reviews your citations and shows whether later research supports or contradicts the claim.
    • Perplexity isn’t perfect, but I often use it as a quick smell test when an AI-generated response feels a little too slick.
    • LegalEase, Westlaw, and other legal tools are already helping firms and courts catch citation errors before they make it into the record.

    Just because a model says it, and even if it drops a polished citation, doesn’t mean it’s true. We used to say, “Just take a look, it’s in a book.” Now? You better take a second look, and make sure that book actually exists.

    If your work is making claims – especially ones tied to legal precedent, public health, or science – then checking those claims has to become part of the workflow.

    Truth still matters. And in the age of generative content, fact-checking is the new spellcheck.

    It’s “frighteningly likely” many US courts will overlook AI errors, expert says
    Judges pushed to bone up on AI or risk destroying their court’s authority.

  3. Funny Timing, Right?

    You know what’s a strange coincidence?

    This week, both OpenAI and Perplexity announced new web browsers, bold moves that could reshape how we interface with the internet. On the exact same day, Ars Technica published a story about browser extensions quietly turning nearly a million people’s browsers into scraping bots.

    And it got me thinking…

    Owning the browser is a convenient way to bypass a lot of the safeguards platforms like Cloudflare have put up to stop scraping and bot traffic. Maybe that’s not the intention, but sure is a funny coincidence.

    Browser extensions turn nearly 1 million browsers into website-scraping bots
    Extensions load unknown sites into invisible Windows. What could go wrong?

  4. Is Apple About to Buy an Answer Engine?

    What do you do when $20 billion in revenue might vanish thanks to Google’s looming antitrust fallout?

    You buy the best damn answer engine on the block.

    Perplexity is already my favorite AI search tool—fast, smart, and actually useful. Imagine it embedded deep into Apple’s many operating systems. A real-time answer engine that could make Siri useful and launch a day-one Google Search competitor. If this happens, it might be Apple’s smartest acquisition in years.

    Apple Executives Have Held Internal Talks About Buying AI Startup Perplexity

  5. Bye SEO, and Hello AEO

    If you caught my recent LinkedIn post, I’ve been sounding the alarm on SEO and search’s fading dominance. Not because it’s irrelevant, but because the game is changing fast.

    For years, SEO (Search Engine Optimization) has been the foundation of digital discovery. But we’re entering the age of Google Zero—a world where fewer clicks make it past the search results page. Google’s tools (Maps, embedded widgets, AI Overviews) are now hogging the spotlight. And here’s the latest signal: In April, Apple’s Eddy Cue said that Safari saw its first-ever drop in search queries via the URL bar. That’s huge. Safari is the default browser for iPhones and commands over half of U.S. mobile browser traffic. A dip here means a real shift in how people are asking questions.

    I’ve felt it in my habits. I still use Google, but I’ve started using Perplexity, ChatGPT, or Claude to ask my questions. It’s not about keywords anymore, it’s about answers. That brings us to a rising idea: AEO — Answer Engine Optimization.

    Just like SEO helped businesses get found by Google, AEO is about getting found by AI. Tools like Perplexity and ChatGPT now crawl the open web to synthesize responses. If your content isn’t surfacing in that layer, you’re invisible to the next generation of search.

    It’s not perfect—yet. For something like a recipe, the AI might not cite you at all. But for anything involving a recommendation or purchase decision, it matters a lot.

    Take this example: I was recently looking for alternatives to QuickBooks. In the past, I’d Google it and skim through some SEO-packed roundup articles. Now? I start with Perplexity or ChatGPT. Both gave me actual product suggestions, citing sources from review sites, Reddit threads, and open web content. The experience felt more tailored. More direct.

    If you sell anything—whether it’s a SaaS product, a service, or a physical item this is the new front door. It’s not just about ranking on Google anymore. It’s about being visible to the large language models that shape what users see when they ask.

    So, you’re probably asking. How do you optimize for an answer engine? The truth is, the rules are still emerging. But here’s what we know so far:
    • Perplexity leans on Bing. It uses Microsoft’s search infrastructure in the background. So your Bing SEO might matter more than you think.
    • Sources are visible. Perplexity shows where it pulled info from—Reddit, Clutch, Bench, review sites, etc. If your product is listed or mentioned there, you’ve got a shot.
    • Wikipedia still rules. Most AI models treat it as a trusted source. If your business isn’t listed—or your page is thin—you’re missing an easy credibility signal.

    But the biggest move you can make?
    Start asking AI tools what they know about you.

    Try it. Ask ChatGPT or Perplexity: “What are the top alternatives to [your product]?” or “What is [your business] known for?” See what surfaces. That answer tells you what the AI thinks is true. And just like with Google, you can shape that reality by shaping the sources it learns from.

    This shift won’t happen overnight. But it’s already happening.
    Don’t just optimize for search. Optimize for answers.

  6. Exploring Yelp’s Response to Google’s Monopoly Status

    Yelp’s CEO, Jeremy Stoppelman, recently weighed in on Google’s long-standing monopoly, highlighting the distinction between general and vertical search engines. Yelp, for instance, specializes as a vertical search engine, focusing narrowly on areas like restaurant reviews and local businesses, unlike Google’s broad scope.

    Back in 2011, Google acquired Zagat, a strategic move that showcased its intention to dominate not just general search but also specific verticals such as restaurant reviews. This acquisition was part of Google’s broader strategy to keep users within its ecosystem by providing extensive information directly on its properties. For example, Google’s “zero-search” approach enables users to see restaurant menus, reviews, and other details directly on Google, reducing the need to visit vertical search engines like Yelp or the actual restaurant websites.

    With the rise of AI-driven search tools like OpenAI’s SearchGPT and PerplexityAI, which aim to directly answer users’ queries, traditional search engines like Google could face real competition. This shifts the landscape for specialized platforms like Yelp. Should Yelp build higher walls around its content and profit from licensing its data, much like it does with Apple Maps?

    A watershed decision for fair competition, innovation, and consumer choice
    This week marks a historic turning point in the fight for fair competition. U.S. District Court Judge Amit Mehta’s landmark decision in U.S. v. Google has unequivocally found that Google willfully used illegal means to maintain its monopoly in the general search market.