Technologies

I Want Workout Buddy to Be More Boot Camp Trainer Than Cheerleader on the Apple Watch

Commentary: The Apple Watch’s new coaching feature in watchOS 26 taps your fitness data for live feedback, but don’t expect detailed training plans just yet.

I was expecting, and hoping, Apple would launch some kind of AI-powered health feature on the Apple Watch at WWDC 2025, but Workout Buddy wasn’t exactly what I had in mind.

I’m the kind of person who spoils any and all surprises by reading the last page of a good mystery novel, or the finale synopsis of a Netflix whodunit before I’ve even gotten through the pilot. So I went into WWDC, Apple’s annual developers conference, having read all the rumors, feeling pretty confident that I knew most of what was coming to WatchOS 26: a smarter Health app with AI coaching that could finally turn all my fitness metrics into meaningful, personalized guidance.

What we actually got during Apple’s WWDC keynote was a bit different… and that’s not necessarily a bad thing. Rather than unleashing a flood of generic coaching suggestions or unsolicited advice (like caffeine restriction windows, which should not exist in my vocabulary), Apple is being intentionally conservative with its approach to AI on the watch, testing the waters with Workout Buddy and laying the groundwork for more meaningful, context-aware insights.

What Is Workout Buddy?

Workout Buddy isn’t meant to be a coach (at least not in the traditional sense). It won’t train you for a marathon or map out a four-week plan to boost your VO2 max. What it will do is act as a voice in your ear, offering encouragement during a workout based on your past fitness data. Think: «That was your fastest mile ever,» or «You’ve just crossed 500 miles for the year.»

For some people, that kind of affirmation might be enough to keep pushing forward. But I’m the kind of runner who thrives on structure and tough love. I should note that I haven’t tested Workout Buddy, but from what Apple showed off, Workout Buddy won’t cut it for me — at least not yet. I already rely on pace and heart rate alerts to let me know when I’m slacking. What I really need is a drill-sergeant-style coach that handles the math for me, so I can focus on my stride, breathing and whatever podcast is carrying me through mile four.

What Workout Buddy means for the future

What Workout Buddy is doing is technically impressive, combining exercise and health information and turning that into a conversational voice that gives you a personalized pep talk. It proves that Apple has both the data and the processing power to analyze workouts in real time and turn that data into something meaningful. It’s the first step toward a more responsive, intelligent Apple Watch experience that doesn’t just track your fitness, but actively helps you improve it.

It also offers a window into Apple’s broader strategy for AI on the Watch. Whether due to hardware limitations (Workout Buddy relies on Apple Intelligence, which requires an iPhone 15 or newer model communicating with the watch) or just Apple being Apple (cautious, user-first and deliberate), the result is a feature that feels thoughtfully scoped rather than rushed and half baked. It’s not shouting unsolicited advice or drowning users in confusing metrics. It’s dipping a toe into coaching, not diving in headfirst.

Now that the groundwork is there, it feels like only a matter of time before we get a true AI-powered health coach.

And if this voice assistant really is the start of something smarter and more didactic, can it please expand to other areas of health too? I’ve never been a fan of sleep tracking. But maybe, if I had the right incentives or feedback, I’d get on board. The new Vitals app already does a decent job of flagging early signs of illness, but imagine a proactive sleep coach that tells me my room’s too hot to hit deep sleep. That’s the kind of data driven encouragement I’d actually listen to.

For now, Workout Buddy is limited to eight workout types: indoor and outdoor running and walking, outdoor cycling, HIIT, functional strength and traditional strength training. It’ll arrive in September with the watchOS 26 update — alongside a handful of other features you can read about here.

Technologies

Meta Says Its New AI Model Understands Physical Rules Like Gravity

The new model could allow robots to better predict changes in their environment and make better decisions.

A new generative AI model Meta released this week could change how machines understand the physical world, opening up opportunities for smarter robots and more, the company said.

The new open-source model, called Video Joint Embedding Predictive Architecture 2, or V-JEPA 2, is designed to help artificial intelligence understand things like gravity and object permanence, Meta said.

«By sharing this work, we aim to give researchers and developers access to the best models and benchmarks to help accelerate research and progress,» the company said in a blog post, «ultimately leading to better and more capable AI systems that will help enhance people’s lives.»

Current models that allow AI to interact with the physical world rely on labeled data or video to mimic reality, but this approach emphasizes the logic of the physical world, including how objects move and interact. The model could allow AI to understand concepts like the fact that a ball rolling off of a table will fall.

Meta said the model could be useful for devices like autonomous vehicles and robots by ensuring they don’t need to be trained on every possible situation. The company called it a step toward AI that can adapt like humans can.

One struggle in the space of physical AI has been the need for significant amounts of training data, which takes time, money and resources. At SXSW earlier this year, experts said synthetic data — training data created by AI — could help prepare a more traditional learning model for unexpected situations. (In Austin, the example used was the emergence of bats from the city’s famed Congress Avenue Bridge.)

Meta said its new model simplifies the process and makes it more efficient for real-world applications because it doesn’t rely on all of that training data.

The next steps for world models include training models that are capable of learning, reasoning and planning across different time and space scales, making them better at breaking down complicated tasks. Multimodal models, that can use other senses like audio and touch in addition to vision, will also help future AI models understand the real world.

Technologies

Internet Outage Hits Hard as Google, AWS, Spotify and More Go Down

Technologies

Today’s NYT Strands Hints, Answers and Help for June 13, #467

Here are hints and answers for the NYT Strands puzzle No. 467 for June 13.

Looking for the most recent Strands answer? Click here for our daily Strands hints, as well as our daily answers and hints for The New York Times Mini Crossword, Wordle, Connections and Connections: Sports Edition puzzles.

Today’s NYT Strands puzzle is a fun and seasonal group of words. If you need hints and answers, read on.

I go into depth about the rules for Strands in this story.

If you’re looking for today’s Wordle, Connections and Mini Crossword answers, you can visit CNET’s NYT puzzle hints page.

Read more: NYT Connections Turns 1: These Are the 5 Toughest Puzzles So Far

Hint for today’s Strands puzzle

Today’s Strands theme is: Scattering petals

If that doesn’t help you, here’s a clue: Name game

Clue words to unlock in-game hints

Your goal is to find hidden words that fit the puzzle’s theme. If you’re stuck, find any words you can. Every time you find three words of four letters or more, Strands will reveal one of the theme words. These are the words I used to get those hints but any words of four or more letters that you find will work:

TRITE, RITE, RITES, VILE, LAZY, PENT, GRAIN, RAIN, DIRE, GRAN, LEAR, SOUL, WEST, WETS, RUNT, TURN, VOTE, UNITE, UNTIE, LUNG, TINE.

Answers for today’s Strands puzzle

These are the answers that tie into the theme. The goal of the puzzle is to find them all, including the spangram, a theme word that reaches from one side of the puzzle to the other. When you have all of them (I originally thought there were always eight but learned that the number can vary), every letter on the board will be used. Here are the nonspangram answers: