Jason Michael Perry — Page 5 of 14 — Thoughts on Tech & Things

Latest Thoughts

  1. 🧠 AWS re:Invent Kicks Off

    AWS re:Invent is in full swing in Las Vegas, bringing a flood of product announcements as usual. On the AI front, the standout is Nova, a new family of Amazon-developed AI models that significantly outshine the previous Titan models, alongside enhancements to the Q suite of developer tools.

    If you have time, check out the keynote—it’s packed with updates. I’ll keep an eye out for more exciting developments to share next week.

  2. 🧠 OpenAI’s 12 Days of Shipmas

    Buckle up! OpenAI just kicked off ā€œ12 Days of Shipmas,ā€ promising new product releases every day. This announcement follows Sam Altman’s intriguing email suggesting we might be closer to building AGI than many believe.

    Sora, OpenAI’s video AI tool, and updates to its reasoning model seem like obvious contenders, but what other surprises are in store? It’s shaping up to be an exciting end to the year for AI enthusiasts.

  3. 🧠 EV Plug and Charge Moves Forward

    One of the things I love most about my Tesla is the seamless experience of the Supercharger network. Just plug in and charge—no apps, no QR codes, no hassle. It simply charges the card linked to my car.

    By contrast, my experiences with other charging networks have been riddled with issues: downloading apps, creating accounts, verifying emails, and struggling with bad cell signals—all just to start charging.

    Thankfully, EV charging companies and manufacturers are moving toward a universal ā€œplug-and-chargeā€ system. Starting in 2025, chargers will be able to detect the car and handle payments automatically, making charging as simple as plugging in. It’s a big step toward reducing EV anxiety and fixing the clunky user experience we’ve all endured.

  4. Jonathan Turkey

    Looking to chat with Jonathan Turkey a conversational AI agent? You should see a widget floating to the bottom right of this web page with a button that says “Gobble Gobble”, click that and enjoy!

  5. šŸ“ŗ Levels of AI (Part 2)

    How far can AI go?
    In Part 2, I explore Levels 4 and 5 of AI—moving from creating art and music to tackling complex organizational challenges. Imagine AI managing your home—or even running your business. The future is closer than you think.
    šŸŽ„ Watch now to see how AI evolves and what’s next.

  6. šŸ“ŗ Levels of AI (Part 1)

    AI has come a long way—from chatbots (Level 1) to early reasoning models (Level 2) and the rise of autonomous agents (Level 3). We’re still in the early stages, but progress is accelerating fast!

    In part 2, I’ll uncover Levels 4 and 5, where the real game-changers await. Don’t miss it!

    What excites you most about the future of AI? Let’s discuss!

  7. šŸ“ŗ Foundation Models

    I’m exploring the world of foundation models! From ChatGPT to Claude, LLaMA, Titan, and Gemini, see how each one powers up possibilities in AI. Curious about which model fits your business best?
    Watch to learn more!


    #foundationmodels #ai

  8. 🧠 Could AI Be Your Next Wingman?

    Bumble’s CEO recently suggested that AI could help you understand what you’re looking for in relationships better than you might on your own. Historically, many relationships began through introductions by friends or family who saw potential connections you couldn’t. Now, with AI, we might have a digital ā€œwingmanā€ that could offer similar insights.

    Grindr is also exploring this concept, aiming to create the dating world’s first AI-powered wingman—one that could scout potential matches and come back with thoughts you might not have considered.

    How long before the shortcut “Hey Siri, find me a date!” works?

  9. 🧠 Tesla’s Optimus Robots Are Fake

    If you missed it, Tesla’s Optimus robots, which Elon Musk claims could one day be the biggest-selling product of all time, aren’t quite what they seem. Instead of functioning autonomously, these robots were controlled by humans behind the scenes, performing basic tasks.

    In a world where Boston Dynamics routinely releases videos of robots doing somersaults, jumping, and working autonomously, this demonstration felt underwhelming. It raises the question: where does Tesla’s robotics tech stand compared to its competitors? Right now, it’s anyone’s guess.

  10. 🧠 Backdoors Don’t Work

    One of the biggest, least discussed stories globally is the compromised security of U.S. communication systems. By government mandate, backdoors were added to allow access to all communications in the U.S., and now it seems China—and possibly others—have exploited this vulnerability.

    The lesson is clear: backdoors don’t work. When you open a system, you open it to everyone, not just the intended party. We need to rethink our approach and seriously consider what a truly secure, closed-door solution looks like. The choices we’ve made to implement backdoors are now leading us to face serious consequences.

  11. 🧠 Who’s Really Driving?

    The reality is that many people are getting what they think is a ā€œrobotaxiā€ ride—except it’s actually driven by humans. It’s a strange gray area where the lines between human-driven cars and semi-autonomous vehicles blur, leading us to ask: who’s really driving, and does it even matter?

    This growing trend of Uber and Lyft drivers using Tesla’s Autopilot as makeshift robotaxis has sparked concerns about safety and the ethics of allowing this tech to stand in for a driver.

  12. 🧠 Meta’s AI Video Models Keep Advancing

    Hot on the heels of Meta Connect, the AI team at Meta announced major updates to its video and audio models, though it’s still unclear when these tools will be available to the public.

    I’ve had the chance to work with platforms like Pika and Runway, and while they’re impressive, they’re not quite where they need to be just yet. A few months back, Runway not only released its Gen3 model but also secured a deal with a Hollywood studio to train its AI on high-quality cinematic data. These improvements are exciting, but we’re still waiting for broader access.

    As these tools get better, we might just see AI-generated moments—like Will Smith eating spaghetti—become common sooner than we think.

  13. 🧠 OpenAI DevDay Brings Real-Time API and More

    This week was OpenAI’s annual DevDay, and it arrives amid significant changes—most notably, the resignation of CTO Mira Murati and ongoing organizational shifts as OpenAI potentially transitions from a non-profit to a for-profit company.

    While I’ll dive deeper into the conference in next week’s newsletter, one standout announcement is the introduction of a Realtime API that supports speech-to-speech agent implementations for developers, complete with six customizable voices. This is a massive leap toward enabling developers to create truly agentic AI experiences, integrating Retrieval-Augmented Generation (RAG) for personalized data access.

    The new API also allows speech as direct input for chat completions and more. There’s still plenty to unpack, but I’m excited to dive into the keynote highlights.

  14. 🧠 Tesla’s Supercharger Network is A Game-Changer for Other EVs

    It’s no secret that charging infrastructure remains the biggest hurdle to widespread EV adoption. Kevin Purdy at ArsTechnica’s recent article highlights how Tesla’s Supercharger network has breathed new life into road trips with his Chevy Bolt, emphasizing how vital reliable charging is for long-distance EV travel.

    I’ve said it before—range anxiety is a real issue. For most people, a home charger easily covers daily commuting needs. But on long-distance trips, access to a reliable, fast charging network becomes essential. In my own research, I’ve tested non-Tesla chargers, and it’s been a frustrating experience—apps, broken chargers, slow speeds, and payment issues. Tesla’s Supercharger network, on the other hand, has been a key reason I chose a Tesla in the first place.

    Here’s hoping that axing the supercharger team at Tesla won’t cause this network to slide backward.