When Henk Rogers first read the script for the Tetris movie, he was shocked. “There was so much Hollywood in the movie,” he tells The Verge. “It just drove me nuts.” The film largely follows a pivotal period in Rogers’ life, when he traveled to the Soviet Union to navigate the complex rights issues for Tetris to bring it to platforms like the Game Boy. There, he connected with game’s creator Alexey Pajitnov, with whom he eventually formed a lifelong friendship, and turned Tetris into a global phenomenon.
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Henk Rogers on telling the real story of Tetris: ‘I have to set the record straight’
The movie turned this experience into something resembling a high-stakes spy thriller — and while Rogers ended up loving the final product, that initial experience inspired him to tell the story of what really happened. “While reading the script I said, ‘I have to set the record straight,’” he says.
That story now exists in the form of the book The Perfect Game. While Rogers originally sat down to write about the events that transpired in the movie, he soon realized the story was much bigger than that. “I started writing it, and somebody looked at it and said, ‘That could be a book, it’s just not big enough,’” he explains. “I didn’t want to rewrite that part and add water, so to speak, so I added the before and after. So it ended up being about my game career.”
The Perfect Game starts out by exploring Rogers’ early life, bouncing around from the Netherlands to New York City to Hawaii, before eventually landing in Japan, where he founded Bullet-Proof Software and went on to release the influential RPG The Black Onyx. Even before the book gets to the Tetris part of the tale, it’s filled with fascinating insight into the early days of game development. Rogers talks through the many complications and nuances of dealing with publishers and funding, as well as releasing and marketing a game in Japan despite not speaking Japanese.
But things really kicked into gear at CES in 1988, when he flew to Las Vegas in search of a new game to publish and stumbled on a puzzle game about falling blocks. As he tells it, he knew immediately that he found something special. “I left the Consumer Electronics Show with a sense of purpose,” Rogers writes in his book. “I was determined to publish Tetris in Japan.” That proved tricky, of course, due in large part to the web of copyright laws in the Soviet Union at the time. Rogers found himself traveling back and forth between the Soviet Union and Japan, dealing with everyone from the higher-ups at Nintendo — including legendary designer Shigeru Miyamoto — to the intimidating employees at Soviet trade organizations.
“There’s times when my memory is a little shady, but it was such an exciting time that I pretty much remember.”
Rogers’ account is a detailed one, and he says that he wrote the book entirely from memory. That said, he did check with his friend Pajitnov on a few details, which resulted in one of the book’s more charming features. At various points, Pajitnov’s thoughts are inserted into the book, where he often disagrees with Rogers on small details, like how impressed he was by the Famicom version of Tetris or the quality of the elevator in his apartment building.
“Alexei read my manuscript and was writing in the margins where his memory is different, so I decided to keep those and put them in the book,” Rogers explains. “There’s times when my memory is a little shady, but it was such an exciting time that I pretty much remember.”
Even if it’s missing the Hollywood thrills of the script that inspired Rogers to write in the first place, The Perfect Game is a fascinating read, particularly if you’re interested in game development anecdotes. And because the story covers the entirety of Rogers’ career to date, which includes setting up The Tetris Company and bringing the game to just about every platform imaginable, there are a lot of stories about pivotal points in the medium, from the launch of the Game Boy to the burgeoning days of mobile gaming.
The story is especially notable as Tetris continues to thrive. In addition to the movie and book, Rogers was also featured prominently in Digital Eclipse’s playable documentary Tetris Forever, and the game still pops up frequently in places like Nintendo’s new music app. Rogers has largely stepped away from the business, which is now run by his daughter Maya. So now when he sees the game appear somewhere surprising, it elicits a different kind of feeling. “It feels like success,” he says. “Every time Tetris pops up somewhere, or a new deal comes down the pike, it’s like, ‘Wow, she’s killing it.‘”
As for that movie, Rogers changed his mind when he actually saw it, describing the film as “emotionally correct,” even if it didn’t get all of the facts right. “The first time I saw it I cried about things that never actually happened,” he says.
AI researchers have recently been asking themselves a version of the question, “Is that really Zuck?”
As first reported by Bloomberg, the Meta CEO has been personally asking top AI talent to join his new “superintelligence” AI lab and reboot Llama. His recruiting process typically goes like this: a cold outreach via email or WhatsApp that cites the recruit’s work history and requests a 15-minute chat. Dozens of researchers have gotten these kinds of messages at Google alone.
For those who do agree to hear his pitch (amazingly, not all of them do), Zuckerberg highlights the latitude they’ll have to make risky bets, the scale of Meta’s products, and the money he’s prepared to invest in the infrastructure to support them. He makes clear that this new team will be empowered and sit with him at Meta’s headquarters, where I’m told the desks have already been rearranged for the incoming team.
Most of the headlines so far have focused on the eye-popping compensation packages Zuckerberg is offering, some of which are well into the eight-figure range. As I’ve covered before, hiring the best AI researcher is like hiring a star basketball player: there are very few of them, and you have to pay up. Case in point: Zuckerberg basically just paid 14 Instagrams to hire away Scale AI CEO Alexandr Wang.
It’s easily the most expensive hire of all time, dwarfing the billions that Google spent to rehire Noam Shazeer and his core team from Character.AI (a deal Zuckerberg passed on). “Opportunities of this magnitude often come at a cost,” Wang wrote in his note to employees this week. “In this instance, that cost is my departure.”
Zuckerberg’s recruiting spree is already starting to rattle his competitors. The day before his offer deadline for some senior OpenAI employees, Sam Altman dropped an essay proclaiming that “before anything else, we are a superintelligence research company.” And after Zuckerberg tried to hire DeepMind CTO Koray Kavukcuoglu, he was given a larger SVP title and now reports directly to Google CEO Sundar Pichai.
I expect Wang to have the title of “chief AI officer” at Meta when the new lab is announced. Jack Rae, a principal researcher from DeepMind who has signed on, will lead pre-training. Meta certainly needs a reset. According to my sources, Llama has fallen so far behind that Meta’s product teams have recently discussed using AI models from other companies (although that is highly unlikely to happen). Meta’s internal coding tool for engineers, however, is already using Claude.
While Meta’s existing AI researchers have good reason to be looking over their shoulders, Zuckerberg’s $14.3 billion investment in Scale is making many longtime employees, or Scaliens, quite wealthy. They were popping champagne in the office this morning.
Then, Wang held his last all-hands meeting to say goodbye and cried. He didn’t mention what he would be doing at Meta. I expect his new team will be unveiled within the next few weeks after Zuckerberg gets a critical number of members to officially sign on.
Apple is accustomed to being on top of the tech industry, and for good reason: the company has enjoyed a nearly unrivaled run of dominance.
After spending time at Apple HQ this week for WWDC, I’m not sure that its leaders appreciate the meteorite that is heading their way. The hubris they display suggests they don’t understand how AI is fundamentally changing how people use and build software.
Heading into the keynote on Monday, everyone knew not to expect the revamped Siri that had been promised the previous year. Apple, to its credit, acknowledged that it dropped the ball there, and it sounds like a large language model rebuild of Siri is very much underway and coming in 2026.
The AI industry moves much faster than Apple’s release schedule, though. By the time Siri is perhaps good enough to keep pace, it will have to contend with the lock-in that OpenAI and others are building through their memory features. Apple and OpenAI are currently partners, but both companies want to ultimately control the interface for interacting with AI, which puts them on a collision course.
Apple’s decision to let developers use its own, on-device foundational models for free in their apps sounds strategically smart, but unfortunately, the models look far from leading. Apple ran its own benchmarks, which aren’t impressive, and has confirmed a measly context window of 4,096 tokens. It’s also saying that the models will be updated alongside its operating systems — a snail’s pace compared to how quickly AI companies move.
I’d be surprised if any serious developers use these Apple models, although I can see them being helpful to indie devs who are just getting started and don’t want to spend on the leading cloud models. I don’t think most people care about the privacy angle that Apple is claiming as a differentiator; they are already sharing their darkest secrets with ChatGPT and other assistants.
Some of the new Apple Intelligence features I demoed this week were impressive, such as live language translation for calls. Mostly, I came away with the impression that the company is heavily leaning on its ChatGPT partnership as a stopgap until Apple Intelligence and Siri are both where they need to be.
AI probably isn’t a near-term risk to Apple’s business. No one has shipped anything close to the contextually aware Siri that was demoed at last year’s WWDC. People will continue to buy Apple hardware for a long time, even after Sam Altman and Jony Ive announce their first AI device for ChatGPT next year. AR glasses aren’t going mainstream anytime soon either, although we can expect to see more eyewear from Meta, Google, and Snap over the coming year.
In aggregate, these AI-powered devices could begin to siphon away engagement from the iPhone, but I don’t see people fully replacing their smartphones for a long time. The bigger question after this week is whether Apple has what it takes to rise to the occasion and culturally reset itself for the AI era.
I would have loved to hear Tim Cook address this issue directly, but the only interview he did for WWDC was a cover story in Variety about the company’s new F1 movie.
- AI agents are coming. I recently caught up with Databricks CEO Ali Ghodsi ahead of his company’s annual developer conference this week in San Francisco. Given Databricks’ position, he has a unique, bird’s-eye view of where things are headed for AI. He doesn’t envision a near-term future where AI agents completely automate real-world tasks, but he does predict a wave of startups over the next year that will come close to completing actions in areas such as travel booking. He thinks humans will need (and want) to approve what an agent does before it goes off and completes a task. “We have most of the airplanes flying automated, and we still want pilots in there.”
- Buyouts are the new normal at Google. That much is clear after this week’s rollout of the “voluntary exit program” in core engineering, the Search organization, and some other divisions. In his internal memo, Search SVP Nick Fox was clear that management thinks buyouts have been successful in other parts of the company that have tried them. In a separate memo I saw, engineering exec Jen Fitzpatrick called the buyouts an “opportunity to create internal mobility and fresh growth opportunities.” Google appears to be attempting a cultural reset, which will be a challenging task for a company of its size. We’ll see if it can pull it off.
- Evan Spiegel wants help with AR glasses. I doubt that his announcement that consumer glasses are coming next year was solely aimed at AR developers. Telegraphing the plan and announcing that Snap has spent $3 billion on hardware to date feels more aimed at potential partners that want to make a bigger glasses play, such as Google. A strategic investment could help insulate Snap from the pain of the stock market. A full acquisition may not be off the table, either. When he was recently asked if he’d be open to a sale, Spiegel didn’t shut it down like he always has, but instead said he’d “consider anything” that helps the company “create the next computing platform.”
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Finding a reliable tennis partner who matches your energy and skill level can be a challenge.
Now, with Tenniix, an artificial intelligence-powered tennis robot from T-Apex, players of all abilities have a new way to practice and improve.
Tenniix brings smart technology and adaptability to your training sessions, making it easier to get the most out of your time on the court.
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Tenniix, the AI-powered tennis robot (T-Apex)
What is Tenniix? Meet the AI tennis robot transforming practice sessions
Tenniix is an AI-powered tennis robot that is compact and weighs only 15 pounds, which is much lighter than traditional ball machines. Despite its small size, it serves balls at speeds of up to 75 mph, with spins reaching 5,000 RPM, and holds up to 100 balls at a time. The robot’s movable base allows it to deliver shots from different angles, keeping practice sessions dynamic and engaging.
TENNIS PRO ERIN ROUTLIFFE EXPLODES OVER LACK OF ‘ROBOTS’ AT AUSTRALIAN OPEN
A player lifting the Tenniix, an AI-powered tennis robot, out of the vehicle. (T-Apex)
NO TENNIS PARTNER? NO WORRIES WITH THIS AI ROBOT
AI tennis coaching: How Tenniix delivers realistic, pro-level practice
One of the standout features of Tenniix is its AI-driven coaching. The robot has been trained on over 8,000 hours of professional tennis data, allowing it to adjust its shots based on your position and playing style. This gives you a realistic and challenging experience every time you step on the court. Tenniix offers a wide variety of training modes, with more than 1,000 drills and three skill levels, so you can focus on everything from timing and footwork to shot accuracy.
Tenniix, the AI-powered tennis robot being carried (T-Apex)
WILL 3D TECH CHANGE SPORTS FOREVER?
Smart and simple: How to control Tenniix with voice, gestures or your phone
Controlling Tenniix is simple and intuitive. You can use voice commands or gestures to change spin, speed or shot type without interrupting your practice. Tenniix also features convenient app controls, letting you select training modes, adjust settings and review session data right from your smartphone for a fully customized and trackable experience. The robot’s modular design means you can start with the model that fits your needs and upgrade as your skills improve. With a built-in camera and AI chip, Tenniix analyzes your shots and provides instant feedback, helping you track your progress over time.
Tenniix, the AI-powered tennis robot (T-Apex)
SKYROCKET TO A HEALTHIER LIFESTYLE WITH THIS GEAR IN 2025
Advanced tracking and movement: How Tenniix adapts to your game in real time
Tenniix uses a combination of visual tracking and ultra-wideband sensors to know exactly where you and the ball are on the court. Its motorized base moves smoothly to deliver a wide range of shots, from high lobs to fast groundstrokes, at different speeds and spins. The battery lasts up to four hours, which is enough for a solid training session.
Tenniix, the AI-powered tennis robot (T-Apex)
BEST FATHER’S DAY GIFTS FOR EVERY DAD
Practice like the pros: Train against Nadal-style shots with Tenniix
Another feature that sets Tenniix apart is its ability to mimic the playing styles of tennis greats like Nadal and Federer. This helps you prepare for matches by practicing against shots and spins similar to those you’ll face in real competition. Coaches and players have noted how Tenniix creates realistic rallies and adapts to different skill levels, making training both efficient and enjoyable.
Tenniix, the AI-powered tennis robot (T-Apex)
Portable, smart and backed by support: Why tennis players love Tenniix
Tenniix is easy to carry and set up, making it convenient for players who want to practice anywhere. With thousands of shot combinations and drills, your workouts stay fresh and challenging. The smart technology, real-time tracking and instant feedback help make every session productive. Each robot comes with a one-year warranty and reliable customer service.
WHAT IS ARTIFICIAL INTELLIGENCE (AI)?
Tenniix, the AI-powered tennis robot (T-Apex)
Tenniix models and pricing: Which AI tennis robot is right for you?
There are three Tenniix models to choose from. The Basic model is priced at $699, the Pro at $999 and the Ultra at $1,499. Each model offers a different set of features, with the Ultra version including advanced options like the movable base and enhanced vision system. Tenniix was launched through a Kickstarter campaign, giving early supporters a chance to back the project and receive the robot at a special price.
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Tenniix, the AI-powered tennis robot (T-Apex)
Kurt’s key takeaways
Tenniix feels less like a machine and more like a smart tennis partner who’s always ready to help you improve. Whether you want to polish your technique or get serious about your game, it offers a flexible and engaging way to train. If you’re looking for a training partner that adapts to you, Tenniix is worth checking out.
Would you rather challenge yourself playing against a robot like Tenniix, or do you prefer training with a human opponent? Let us know by writing us at Cyberguy.com/Contact.
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Google has confirmed that it plans to shut down Android’s Instant Apps later this year, attributing the decision to “low” usage of the functionality.
Instant Apps were introduced in 2017, and allow developers to create mini versions of Android apps that load, well, instantly. Users can try apps and demo games from the click of a link, without having to fully install them. That makes the experience easier for users to navigate and provides developers with more ways to find new audiences.
Android Authority first reported that Google is moving on from the feature, which came to light after developer Leon Omelan spotted a warning about the change in Android Studio:
“Instant Apps support will be removed by Google Play in December 2025. Publishing and all Google Play Instant APIs will no longer work. Tooling support will be removed in Android Studio Otter Feature Drop.”
Google spokesperson Nia Carter confirmed the decision to The Verge, explaining that Instant Apps simply haven’t been popular enough to continue supporting.
“Usage and engagement of Instant Apps have been low, and developers are leveraging other tools for app discovery such as AI-powered app highlights and simultaneous app installs,” Carter says. “This change allows us to invest more in the tools that are working well for developers, and help direct users to full app downloads to foster deeper engagement.”
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